From 210aad4a9855e55fb75f0369bd9121eb3f494aa2 Mon Sep 17 00:00:00 2001 From: Brett Date: Mon, 1 Apr 2024 09:50:07 -0400 Subject: [PATCH] working search --- .gitignore | 1 - ...ignore (conflicted copy 2024-04-01 082422) | 2 + CMakeLists.txt | 2 +- .../aggregated.tsv | 54 + .../crossover_100_mutation_100_elitism_0.tsv | 476 ++++ .../run_0/regress.bst | 27 + .../run_0/regress.fn | 2 + .../run_0/regress.gen | Bin 0 -> 8192 bytes .../run_0/regress.his | 1275 +++++++++++ .../run_0/regress.prg | 202 ++ .../run_0/regress.stt | 52 + .../run_0/regress.sys | 202 ++ .../run_1/regress.bst | 31 + .../run_1/regress.fn | 2 + .../run_1/regress.gen | Bin 0 -> 8192 bytes .../run_1/regress.his | 1425 ++++++++++++ .../run_1/regress.prg | 202 ++ .../run_1/regress.stt | 52 + .../run_1/regress.sys | 202 ++ .../run_2/regress.bst | 23 + .../run_2/regress.fn | 2 + .../run_2/regress.gen | Bin 0 -> 8192 bytes .../run_2/regress.his | 593 +++++ .../run_2/regress.prg | 202 ++ .../run_2/regress.stt | 29 + 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PartA/crossover_100_mutation_100_elitism_0/run_6/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_6/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_6/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_6/regress.sys create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.bst create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.fn create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.gen create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_7/regress.sys create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.bst create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.fn create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.gen create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_8/regress.sys create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_9/regress.bst create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_9/regress.fn create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_9/regress.gen create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_9/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_9/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_0/run_9/regress.stt create mode 100644 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PartA/crossover_100_mutation_100_elitism_2/run_6/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_6/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_6/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_6/regress.sys create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.bst create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.fn create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.gen create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_7/regress.sys create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.bst create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.fn create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.gen create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_8/regress.sys create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.bst create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.fn create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.gen create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.his create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.prg create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.stt create mode 100644 PartA/crossover_100_mutation_100_elitism_2/run_9/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/aggregated.tsv create mode 100644 PartA/crossover_90_mutation_10_elitism_0/crossover_90_mutation_10_elitism_0.tsv create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_0/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_1/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_2/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_3/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_4/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_5/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_6/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_7/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_8/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_0/run_9/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/aggregated.tsv create mode 100644 PartA/crossover_90_mutation_10_elitism_2/crossover_90_mutation_10_elitism_2.tsv create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_0/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_1/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_2/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_3/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_4/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_5/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_6/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_7/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_8/regress.sys create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.bst create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.fn create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.gen create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.his create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.prg create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.stt create mode 100644 PartA/crossover_90_mutation_10_elitism_2/run_9/regress.sys create mode 100644 PartB/90Cross10Mut2El/aggregated.tsv create mode 100644 PartB/90Cross10Mut2El/aggregated_fn.ods create mode 100644 PartB/90Cross10Mut2El/aggregated_fn.tsv create mode 100644 PartB/90Cross10Mut2El/aggregated_runs.tsv create mode 100644 PartB/90Cross10Mut2El/run_0/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_0/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_0/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_0/regress.his create mode 100644 PartB/90Cross10Mut2El/run_0/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_0/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_0/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_1/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_1/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_1/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_1/regress.his create mode 100644 PartB/90Cross10Mut2El/run_1/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_1/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_1/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_2/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_2/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_2/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_2/regress.his create mode 100644 PartB/90Cross10Mut2El/run_2/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_2/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_2/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_3/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_3/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_3/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_3/regress.his create mode 100644 PartB/90Cross10Mut2El/run_3/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_3/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_3/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_4/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_4/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_4/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_4/regress.his create mode 100644 PartB/90Cross10Mut2El/run_4/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_4/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_4/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_5/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_5/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_5/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_5/regress.his create mode 100644 PartB/90Cross10Mut2El/run_5/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_5/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_5/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_6/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_6/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_6/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_6/regress.his create mode 100644 PartB/90Cross10Mut2El/run_6/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_6/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_6/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_7/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_7/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_7/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_7/regress.his create mode 100644 PartB/90Cross10Mut2El/run_7/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_7/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_7/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_8/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_8/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_8/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_8/regress.his create mode 100644 PartB/90Cross10Mut2El/run_8/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_8/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_8/regress.sys create mode 100644 PartB/90Cross10Mut2El/run_9/regress.bst create mode 100644 PartB/90Cross10Mut2El/run_9/regress.fn create mode 100644 PartB/90Cross10Mut2El/run_9/regress.gen create mode 100644 PartB/90Cross10Mut2El/run_9/regress.his create mode 100644 PartB/90Cross10Mut2El/run_9/regress.prg create mode 100644 PartB/90Cross10Mut2El/run_9/regress.stt create mode 100644 PartB/90Cross10Mut2El/run_9/regress.sys create mode 100644 PartB/90Cross90Mut2El/aggregated.tsv create mode 100644 PartB/90Cross90Mut2El/aggregated_fn.tsv create mode 100644 PartB/90Cross90Mut2El/aggregated_runs.tsv create mode 100644 PartB/90Cross90Mut2El/run_0/regress.bst create mode 100644 PartB/90Cross90Mut2El/run_0/regress.fn create mode 100644 PartB/90Cross90Mut2El/run_0/regress.gen create mode 100644 PartB/90Cross90Mut2El/run_0/regress.his create mode 100644 PartB/90Cross90Mut2El/run_0/regress.prg create mode 100644 PartB/90Cross90Mut2El/run_0/regress.stt create mode 100644 PartB/90Cross90Mut2El/run_0/regress.sys create mode 100644 PartB/90Cross90Mut2El/run_1/regress.bst create mode 100644 PartB/90Cross90Mut2El/run_1/regress.fn create mode 100644 PartB/90Cross90Mut2El/run_1/regress.gen create mode 100644 PartB/90Cross90Mut2El/run_1/regress.his create mode 100644 PartB/90Cross90Mut2El/run_1/regress.prg create mode 100644 PartB/90Cross90Mut2El/run_1/regress.stt create mode 100644 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0.00242 0.0098 0 53.448 9.0149 36 7 55 9 0.00054 0.01025 0 26.3167 5.8275 28 6 17 3 +30 0 0.00252 0.01152 0 55.1936 9.1317 32 6 51 8 0.00061 0.0117 0 27.2481 5.9341 27 6 17 3 +31 0 0.00271 0.01489 0 56.6096 9.2275 36 7 51 9 0.00066 0.01505 0 28.1656 6.0369 31 6 17 3 +32 0 0.00284 0.01381 0 57.4633 9.2697 34 7 68 9 0.00073 0.0153 0 29.0534 6.135 31 6 17 3 +33 0 0.00295 0.01194 0 57.6212 9.2493 40 8 53 9 0.0008 0.01576 0 29.8939 6.2266 36 8 17 3 +34 0 0.00317 0.01243 0 57.1262 9.1701 48 8 66 9 0.00086 0.01661 0 30.6719 6.3106 28 6 17 3 +35 0 0.00339 0.01638 0 57.6547 9.2213 61 10 63 9 0.00093 0.01831 0 31.4214 6.3916 32 7 17 3 +36 0 0.00363 0.01747 0 58.6958 9.3118 58 9 66 9 0.00101 0.01839 0 32.1585 6.4704 31 7 17 3 +37 0 0.00375 0.03735 0 59.8621 9.4072 43 9 65 9 0.00107 0.03777 0 32.8875 6.5476 31 7 17 3 +38 0 0.00405 0.02054 0 61.1164 9.53 55 10 52 8 0.00115 0.03978 0 33.6114 6.6242 33 7 17 3 +39 0 0.00446 0.04956 0 61.816 9.6407 49 8 67 8 0.00123 0.04994 0 34.3165 6.6996 31 7 17 3 +40 0 0.00502 0.07533 0 62.2502 9.7446 46 8 64 9 0.00133 0.07581 0 34.9978 6.7739 33 7 17 3 +41 0 0.00563 0.07541 0 62.4674 9.8256 52 9 65 9 0.00142 0.076 0 35.6518 6.8465 33 7 17 3 +42 0 0.00663 0.076 0 62.7849 9.8651 56 9 60 8 0.00154 0.07632 0 36.2828 6.9167 34 8 17 3 +43 0 0.00825 0.077 0 62.665 9.8863 50 9 59 9 0.00171 0.07755 0 36.8823 6.9841 34 8 17 3 +44 0 0.01025 0.08067 0 62.5507 9.8819 45 9 67 10 0.00188 0.08119 0 37.4528 7.0487 33 8 17 3 +45 0 0.01141 0.08903 0 62.5751 9.889 63 10 61 9 0.00209 0.08961 0 37.9989 7.1103 35 8 17 3 +46 0 0.00669 0.05313 0 58.0584 8.5661 36 7 53 8 0.00182 0.05352 0 33.9906 6.216 30 6 11 2 +47 0 0.00691 0.05336 0 58.5962 8.5868 39 7 56 9 0.00193 0.0537 0 34.5032 6.2654 32 7 11 2 +48 0 0.00728 0.05731 0 59.0136 8.5892 45 8 44 8 0.00204 0.05803 0 35.0034 6.3128 34 7 11 2 +49 0 0.00821 0.06377 0 59.9068 8.6281 50 8 49 7 0.00217 0.0642 0 35.5015 6.359 35 7 11 2 +50 0 0.00957 0.0647 0 61.0564 8.6845 36 7 73 8 0.00231 0.06513 0 36.0027 6.4047 35 8 11 2 diff --git a/PartA/crossover_100_mutation_100_elitism_0/crossover_100_mutation_100_elitism_0.tsv b/PartA/crossover_100_mutation_100_elitism_0/crossover_100_mutation_100_elitism_0.tsv new file mode 100644 index 0000000..54560c1 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/crossover_100_mutation_100_elitism_0.tsv @@ -0,0 +1,476 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +=AVERAGE(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =AVERAGE(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =AVERAGE(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =AVERAGE(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =AVERAGE(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =AVERAGE(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =AVERAGE(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =AVERAGE(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =AVERAGE(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =AVERAGE(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =AVERAGE(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =AVERAGE(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =AVERAGE(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =AVERAGE(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =AVERAGE(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =AVERAGE(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =AVERAGE(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =AVERAGE(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =AVERAGE(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =AVERAGE(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =STDEV.P(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =STDEV.P(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =STDEV.P(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =STDEV.P(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =STDEV.P(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =STDEV.P(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =STDEV.P(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =STDEV.P(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =STDEV.P(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =STDEV.P(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =STDEV.P(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =STDEV.P(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =STDEV.P(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =STDEV.P(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =STDEV.P(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =STDEV.P(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =STDEV.P(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =STDEV.P(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =STDEV.P(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22, a23, a24, a25, a26, a27, a28, a29, a30, a31, a32, a33, a34, a35, a36, a37, a38, a39, a40, a41, a42, a43, a44, a45, a46, a47, a48, a49, a50, a51, a52) =STDEV.P(b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16, b17, b18, b19, b20, b21, b22, b23, b24, b25, b26, b27, b28, b29, b30, b31, b32, b33, b34, b35, b36, b37, b38, b39, b40, b41, b42, b43, b44, b45, b46, b47, b48, b49, b50, b51, b52) =STDEV.P(c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29, c30, c31, c32, c33, c34, c35, c36, c37, c38, c39, c40, c41, c42, c43, c44, c45, c46, c47, c48, c49, c50, c51, c52) =STDEV.P(d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, d16, d17, d18, d19, d20, d21, d22, d23, d24, d25, d26, d27, d28, d29, d30, d31, d32, d33, d34, d35, d36, d37, d38, d39, d40, d41, d42, d43, d44, d45, d46, d47, d48, d49, d50, d51, d52) =STDEV.P(e2, e3, e4, e5, e6, e7, e8, e9, e10, e11, e12, e13, e14, e15, e16, e17, e18, e19, e20, e21, e22, e23, e24, e25, e26, e27, e28, e29, e30, e31, e32, e33, e34, e35, e36, e37, e38, e39, e40, e41, e42, e43, e44, e45, e46, e47, e48, e49, e50, e51, e52) =STDEV.P(f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f23, f24, f25, f26, f27, f28, f29, f30, f31, f32, f33, f34, f35, f36, f37, f38, f39, f40, f41, f42, f43, f44, f45, f46, f47, f48, f49, f50, f51, f52) =STDEV.P(g2, g3, g4, g5, g6, g7, g8, g9, g10, g11, g12, g13, g14, g15, g16, g17, g18, g19, g20, g21, g22, g23, g24, g25, g26, g27, g28, g29, g30, g31, g32, g33, g34, g35, g36, g37, g38, g39, g40, g41, g42, g43, g44, g45, g46, g47, g48, g49, g50, g51, g52) =STDEV.P(h2, h3, h4, h5, h6, h7, h8, h9, h10, h11, h12, h13, h14, h15, h16, h17, h18, h19, h20, h21, h22, h23, h24, h25, h26, h27, h28, h29, h30, h31, h32, h33, h34, h35, h36, h37, h38, h39, h40, h41, h42, h43, h44, h45, h46, h47, h48, h49, h50, h51, h52) =STDEV.P(i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13, i14, i15, i16, i17, i18, i19, i20, i21, i22, i23, i24, i25, i26, i27, i28, i29, i30, i31, i32, i33, i34, i35, i36, i37, i38, i39, i40, i41, i42, i43, i44, i45, i46, i47, i48, i49, i50, i51, i52) =STDEV.P(j2, j3, j4, j5, j6, j7, j8, j9, j10, j11, j12, j13, j14, j15, j16, j17, j18, j19, j20, j21, j22, j23, j24, j25, j26, j27, j28, j29, j30, j31, j32, j33, j34, j35, j36, j37, j38, j39, j40, j41, j42, j43, j44, j45, j46, j47, j48, j49, j50, j51, j52) =STDEV.P(k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12, k13, k14, k15, k16, k17, k18, k19, k20, k21, k22, k23, k24, k25, k26, k27, k28, k29, k30, k31, k32, k33, k34, k35, k36, k37, k38, k39, k40, k41, k42, k43, k44, k45, k46, k47, k48, k49, k50, k51, k52) =STDEV.P(l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12, l13, l14, l15, l16, l17, l18, l19, l20, l21, l22, l23, l24, l25, l26, l27, l28, l29, l30, l31, l32, l33, l34, l35, l36, l37, l38, l39, l40, l41, l42, l43, l44, l45, l46, l47, l48, l49, l50, l51, l52) =STDEV.P(m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, m16, m17, m18, m19, m20, m21, m22, m23, m24, m25, m26, m27, m28, m29, m30, m31, m32, m33, m34, m35, m36, m37, m38, m39, m40, m41, m42, m43, m44, m45, m46, m47, m48, m49, m50, m51, m52) =STDEV.P(n2, n3, n4, n5, n6, n7, n8, n9, n10, n11, n12, n13, n14, n15, n16, n17, n18, n19, n20, n21, n22, n23, n24, n25, n26, n27, n28, n29, n30, n31, n32, n33, n34, n35, n36, n37, n38, n39, n40, n41, n42, n43, n44, n45, n46, n47, n48, n49, n50, n51, n52) =STDEV.P(o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12, o13, o14, o15, o16, o17, o18, o19, o20, o21, o22, o23, o24, o25, o26, o27, o28, o29, o30, o31, o32, o33, o34, o35, o36, o37, o38, o39, o40, o41, o42, o43, o44, o45, o46, o47, o48, o49, o50, o51, o52) =STDEV.P(p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, p50, p51, p52) =STDEV.P(q2, q3, q4, q5, q6, q7, q8, q9, q10, q11, q12, q13, q14, q15, q16, q17, q18, q19, q20, q21, q22, q23, q24, q25, q26, q27, q28, q29, q30, q31, q32, q33, q34, q35, q36, q37, q38, q39, q40, q41, q42, q43, q44, q45, q46, q47, q48, q49, q50, q51, q52) =STDEV.P(r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r34, r35, r36, r37, r38, r39, r40, r41, r42, r43, r44, r45, r46, r47, r48, r49, r50, r51, r52) =STDEV.P(s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15, s16, s17, s18, s19, s20, s21, s22, s23, s24, s25, s26, s27, s28, s29, s30, s31, s32, s33, s34, s35, s36, s37, s38, s39, s40, s41, s42, s43, s44, s45, s46, s47, s48, s49, s50, s51, s52) =STDEV.P(t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t21, t22, t23, t24, t25, t26, t27, t28, t29, t30, t31, t32, t33, t34, t35, t36, t37, t38, t39, t40, t41, t42, t43, t44, t45, t46, t47, t48, t49, t50, t51, t52) +=AVERAGE(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =AVERAGE(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =AVERAGE(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =AVERAGE(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =AVERAGE(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =AVERAGE(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =AVERAGE(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =AVERAGE(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =AVERAGE(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =AVERAGE(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =AVERAGE(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =AVERAGE(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =AVERAGE(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =AVERAGE(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =AVERAGE(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =AVERAGE(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =AVERAGE(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =AVERAGE(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =AVERAGE(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =AVERAGE(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) =STDEV.P(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =STDEV.P(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =STDEV.P(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =STDEV.P(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =STDEV.P(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =STDEV.P(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =STDEV.P(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =STDEV.P(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =STDEV.P(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =STDEV.P(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =STDEV.P(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =STDEV.P(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =STDEV.P(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =STDEV.P(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =STDEV.P(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =STDEV.P(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =STDEV.P(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =STDEV.P(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =STDEV.P(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =STDEV.P(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) +=AVERAGE(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =AVERAGE(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =AVERAGE(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =AVERAGE(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =AVERAGE(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =AVERAGE(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =AVERAGE(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =AVERAGE(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =AVERAGE(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =AVERAGE(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =AVERAGE(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =AVERAGE(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =AVERAGE(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =AVERAGE(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =AVERAGE(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =AVERAGE(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =AVERAGE(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =AVERAGE(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =AVERAGE(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =AVERAGE(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) =STDEV.P(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =STDEV.P(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =STDEV.P(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =STDEV.P(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =STDEV.P(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =STDEV.P(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =STDEV.P(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =STDEV.P(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =STDEV.P(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =STDEV.P(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =STDEV.P(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =STDEV.P(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =STDEV.P(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =STDEV.P(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =STDEV.P(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =STDEV.P(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =STDEV.P(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =STDEV.P(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =STDEV.P(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =STDEV.P(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) +=AVERAGE(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =AVERAGE(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =AVERAGE(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =AVERAGE(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =AVERAGE(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =AVERAGE(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =AVERAGE(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =AVERAGE(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =AVERAGE(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =AVERAGE(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =AVERAGE(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =AVERAGE(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =AVERAGE(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =AVERAGE(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =AVERAGE(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =AVERAGE(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =AVERAGE(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =AVERAGE(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =AVERAGE(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =AVERAGE(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) =STDEV.P(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =STDEV.P(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =STDEV.P(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =STDEV.P(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =STDEV.P(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =STDEV.P(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =STDEV.P(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =STDEV.P(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =STDEV.P(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =STDEV.P(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =STDEV.P(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =STDEV.P(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =STDEV.P(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =STDEV.P(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =STDEV.P(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =STDEV.P(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =STDEV.P(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =STDEV.P(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =STDEV.P(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =STDEV.P(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) +=AVERAGE(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =AVERAGE(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =AVERAGE(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =AVERAGE(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =AVERAGE(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =AVERAGE(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =AVERAGE(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =AVERAGE(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =AVERAGE(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =AVERAGE(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =AVERAGE(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =AVERAGE(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =AVERAGE(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =AVERAGE(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =AVERAGE(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =AVERAGE(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =AVERAGE(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =AVERAGE(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =AVERAGE(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =AVERAGE(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) =STDEV.P(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =STDEV.P(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =STDEV.P(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =STDEV.P(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =STDEV.P(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =STDEV.P(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =STDEV.P(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =STDEV.P(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =STDEV.P(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =STDEV.P(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =STDEV.P(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =STDEV.P(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =STDEV.P(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =STDEV.P(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =STDEV.P(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =STDEV.P(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =STDEV.P(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =STDEV.P(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =STDEV.P(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =STDEV.P(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) +=AVERAGE(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =AVERAGE(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =AVERAGE(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =AVERAGE(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =AVERAGE(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =AVERAGE(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =AVERAGE(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =AVERAGE(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =AVERAGE(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =AVERAGE(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =AVERAGE(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =AVERAGE(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =AVERAGE(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =AVERAGE(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =AVERAGE(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =AVERAGE(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =AVERAGE(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =AVERAGE(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =AVERAGE(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =AVERAGE(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) =STDEV.P(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =STDEV.P(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =STDEV.P(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =STDEV.P(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =STDEV.P(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =STDEV.P(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =STDEV.P(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =STDEV.P(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =STDEV.P(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =STDEV.P(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =STDEV.P(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =STDEV.P(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =STDEV.P(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =STDEV.P(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =STDEV.P(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =STDEV.P(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =STDEV.P(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =STDEV.P(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =STDEV.P(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =STDEV.P(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) +=AVERAGE(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =AVERAGE(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =AVERAGE(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =AVERAGE(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =AVERAGE(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =AVERAGE(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =AVERAGE(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =AVERAGE(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =AVERAGE(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =AVERAGE(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =AVERAGE(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =AVERAGE(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =AVERAGE(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =AVERAGE(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =AVERAGE(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =AVERAGE(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =AVERAGE(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =AVERAGE(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =AVERAGE(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =AVERAGE(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) =STDEV.P(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =STDEV.P(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =STDEV.P(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =STDEV.P(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =STDEV.P(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =STDEV.P(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =STDEV.P(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =STDEV.P(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =STDEV.P(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =STDEV.P(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =STDEV.P(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =STDEV.P(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =STDEV.P(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =STDEV.P(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =STDEV.P(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =STDEV.P(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =STDEV.P(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =STDEV.P(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =STDEV.P(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =STDEV.P(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) +=AVERAGE(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =AVERAGE(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =AVERAGE(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =AVERAGE(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =AVERAGE(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =AVERAGE(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =AVERAGE(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =AVERAGE(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =AVERAGE(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =AVERAGE(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =AVERAGE(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =AVERAGE(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =AVERAGE(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =AVERAGE(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =AVERAGE(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =AVERAGE(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =AVERAGE(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =AVERAGE(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =AVERAGE(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =AVERAGE(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) =STDEV.P(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =STDEV.P(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =STDEV.P(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =STDEV.P(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =STDEV.P(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =STDEV.P(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =STDEV.P(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =STDEV.P(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =STDEV.P(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =STDEV.P(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =STDEV.P(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =STDEV.P(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =STDEV.P(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =STDEV.P(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =STDEV.P(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =STDEV.P(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =STDEV.P(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =STDEV.P(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =STDEV.P(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =STDEV.P(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) +=AVERAGE(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =AVERAGE(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =AVERAGE(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =AVERAGE(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =AVERAGE(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =AVERAGE(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =AVERAGE(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =AVERAGE(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =AVERAGE(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =AVERAGE(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =AVERAGE(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =AVERAGE(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =AVERAGE(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =AVERAGE(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =AVERAGE(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =AVERAGE(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =AVERAGE(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =AVERAGE(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =AVERAGE(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =AVERAGE(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) =STDEV.P(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =STDEV.P(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =STDEV.P(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =STDEV.P(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =STDEV.P(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =STDEV.P(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =STDEV.P(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =STDEV.P(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =STDEV.P(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =STDEV.P(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =STDEV.P(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =STDEV.P(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =STDEV.P(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =STDEV.P(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =STDEV.P(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =STDEV.P(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =STDEV.P(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =STDEV.P(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =STDEV.P(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =STDEV.P(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) +=AVERAGE(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =AVERAGE(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =AVERAGE(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =AVERAGE(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =AVERAGE(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =AVERAGE(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =AVERAGE(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =AVERAGE(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =AVERAGE(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =AVERAGE(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =AVERAGE(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =AVERAGE(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =AVERAGE(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =AVERAGE(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =AVERAGE(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =AVERAGE(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =AVERAGE(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =AVERAGE(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =AVERAGE(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =AVERAGE(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) =STDEV.P(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =STDEV.P(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =STDEV.P(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =STDEV.P(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =STDEV.P(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =STDEV.P(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =STDEV.P(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =STDEV.P(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =STDEV.P(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =STDEV.P(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =STDEV.P(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =STDEV.P(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =STDEV.P(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =STDEV.P(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =STDEV.P(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =STDEV.P(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =STDEV.P(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =STDEV.P(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =STDEV.P(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =STDEV.P(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) +=AVERAGE(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =AVERAGE(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =AVERAGE(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =AVERAGE(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =AVERAGE(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =AVERAGE(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =AVERAGE(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =AVERAGE(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =AVERAGE(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =AVERAGE(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =AVERAGE(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =AVERAGE(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =AVERAGE(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =AVERAGE(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =AVERAGE(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =AVERAGE(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =AVERAGE(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =AVERAGE(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =AVERAGE(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =AVERAGE(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) =STDEV.P(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =STDEV.P(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =STDEV.P(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =STDEV.P(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =STDEV.P(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =STDEV.P(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =STDEV.P(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =STDEV.P(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =STDEV.P(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =STDEV.P(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =STDEV.P(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =STDEV.P(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =STDEV.P(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =STDEV.P(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =STDEV.P(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =STDEV.P(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =STDEV.P(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =STDEV.P(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =STDEV.P(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =STDEV.P(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) +=AVERAGE(a164, a165, a166, a167, a168, a169, a170, a171, a172, a173) =AVERAGE(b164, b165, b166, b167, b168, b169, b170, b171, b172, b173) =AVERAGE(c164, c165, c166, c167, c168, c169, c170, c171, c172, c173) =AVERAGE(d164, d165, d166, d167, d168, d169, d170, d171, d172, d173) =AVERAGE(e164, e165, e166, e167, e168, e169, e170, e171, e172, e173) =AVERAGE(f164, f165, f166, f167, f168, f169, f170, f171, f172, f173) =AVERAGE(g164, g165, g166, g167, g168, g169, g170, g171, g172, g173) =AVERAGE(h164, h165, h166, h167, h168, h169, h170, h171, h172, h173) =AVERAGE(i164, i165, i166, i167, i168, i169, i170, i171, i172, i173) =AVERAGE(j164, j165, j166, j167, j168, j169, j170, j171, j172, j173) =AVERAGE(k164, k165, k166, k167, k168, k169, k170, k171, k172, k173) =AVERAGE(l164, l165, l166, l167, l168, l169, l170, l171, l172, l173) =AVERAGE(m164, m165, m166, m167, m168, m169, m170, m171, m172, m173) =AVERAGE(n164, n165, n166, n167, n168, n169, n170, n171, n172, n173) =AVERAGE(o164, o165, o166, o167, o168, o169, o170, o171, o172, o173) =AVERAGE(p164, p165, p166, p167, p168, p169, p170, p171, p172, p173) =AVERAGE(q164, q165, q166, q167, q168, q169, q170, q171, q172, q173) =AVERAGE(r164, r165, r166, r167, r168, r169, r170, r171, r172, r173) =AVERAGE(s164, s165, s166, s167, s168, s169, s170, s171, s172, s173) =AVERAGE(t164, t165, t166, t167, t168, t169, t170, t171, t172, t173) =STDEV.P(a164, a165, a166, a167, a168, a169, a170, a171, a172, a173) =STDEV.P(b164, b165, b166, b167, b168, b169, b170, b171, b172, b173) =STDEV.P(c164, c165, c166, c167, c168, c169, c170, c171, c172, c173) =STDEV.P(d164, d165, d166, d167, d168, d169, d170, d171, d172, d173) =STDEV.P(e164, e165, e166, e167, e168, e169, e170, e171, e172, e173) =STDEV.P(f164, f165, f166, f167, f168, f169, f170, f171, f172, f173) =STDEV.P(g164, g165, g166, g167, g168, g169, g170, g171, g172, g173) =STDEV.P(h164, h165, h166, h167, h168, h169, h170, h171, h172, h173) =STDEV.P(i164, i165, i166, i167, i168, i169, i170, i171, i172, i173) =STDEV.P(j164, j165, j166, j167, j168, j169, j170, j171, j172, j173) =STDEV.P(k164, k165, k166, k167, k168, k169, k170, k171, k172, k173) =STDEV.P(l164, l165, l166, l167, l168, l169, l170, l171, l172, l173) =STDEV.P(m164, m165, m166, m167, m168, m169, m170, m171, m172, m173) =STDEV.P(n164, n165, n166, n167, n168, n169, n170, n171, n172, n173) =STDEV.P(o164, o165, o166, o167, o168, o169, o170, o171, o172, o173) =STDEV.P(p164, p165, p166, p167, p168, p169, p170, p171, p172, p173) =STDEV.P(q164, q165, q166, q167, q168, q169, q170, q171, q172, q173) =STDEV.P(r164, r165, r166, r167, r168, r169, r170, r171, r172, r173) =STDEV.P(s164, s165, s166, s167, s168, s169, s170, s171, s172, s173) =STDEV.P(t164, t165, t166, t167, t168, t169, t170, t171, t172, t173) +=AVERAGE(a174, a175, a176, a177, a178, a179, a180, a181, a182, a183) =AVERAGE(b174, b175, b176, b177, b178, b179, b180, b181, b182, b183) =AVERAGE(c174, c175, c176, c177, c178, c179, c180, c181, c182, c183) =AVERAGE(d174, d175, d176, d177, d178, d179, d180, d181, d182, d183) =AVERAGE(e174, e175, e176, e177, e178, e179, e180, e181, e182, e183) =AVERAGE(f174, f175, f176, f177, f178, f179, f180, f181, f182, f183) =AVERAGE(g174, g175, g176, g177, g178, g179, g180, g181, g182, g183) =AVERAGE(h174, h175, h176, h177, h178, h179, h180, h181, h182, h183) =AVERAGE(i174, i175, i176, i177, i178, i179, i180, i181, i182, i183) =AVERAGE(j174, j175, j176, j177, j178, j179, j180, j181, j182, j183) =AVERAGE(k174, k175, k176, k177, k178, k179, k180, k181, k182, k183) =AVERAGE(l174, l175, l176, l177, l178, l179, l180, l181, l182, l183) =AVERAGE(m174, m175, m176, m177, m178, m179, m180, m181, m182, m183) =AVERAGE(n174, n175, n176, n177, n178, n179, n180, n181, n182, n183) =AVERAGE(o174, o175, o176, o177, o178, o179, o180, o181, o182, o183) =AVERAGE(p174, p175, p176, p177, p178, p179, p180, p181, p182, p183) =AVERAGE(q174, q175, q176, q177, q178, q179, q180, q181, q182, q183) =AVERAGE(r174, r175, r176, r177, r178, r179, r180, r181, r182, r183) =AVERAGE(s174, s175, s176, s177, s178, s179, s180, s181, s182, s183) =AVERAGE(t174, t175, t176, t177, t178, t179, t180, t181, t182, t183) =STDEV.P(a174, a175, a176, a177, a178, a179, a180, a181, a182, a183) =STDEV.P(b174, b175, b176, b177, b178, b179, b180, b181, b182, b183) =STDEV.P(c174, c175, c176, c177, c178, c179, c180, c181, c182, c183) =STDEV.P(d174, d175, d176, d177, d178, d179, d180, d181, d182, d183) =STDEV.P(e174, e175, e176, e177, e178, e179, e180, e181, e182, e183) =STDEV.P(f174, f175, f176, f177, f178, f179, f180, f181, f182, f183) =STDEV.P(g174, g175, g176, g177, g178, g179, g180, g181, g182, g183) =STDEV.P(h174, h175, h176, h177, h178, h179, h180, h181, h182, h183) =STDEV.P(i174, i175, i176, i177, i178, i179, i180, i181, i182, i183) =STDEV.P(j174, j175, j176, j177, j178, j179, j180, j181, j182, j183) =STDEV.P(k174, k175, k176, k177, k178, k179, k180, k181, k182, k183) =STDEV.P(l174, l175, l176, l177, l178, l179, l180, l181, l182, l183) =STDEV.P(m174, m175, m176, m177, m178, m179, m180, m181, m182, m183) =STDEV.P(n174, n175, n176, n177, n178, n179, n180, n181, n182, n183) =STDEV.P(o174, o175, o176, o177, o178, o179, o180, o181, o182, o183) =STDEV.P(p174, p175, p176, p177, p178, p179, p180, p181, p182, p183) =STDEV.P(q174, q175, q176, q177, q178, q179, q180, q181, q182, q183) =STDEV.P(r174, r175, r176, r177, r178, r179, r180, r181, r182, r183) =STDEV.P(s174, s175, s176, s177, s178, s179, s180, s181, s182, s183) =STDEV.P(t174, t175, t176, t177, t178, t179, t180, t181, t182, t183) +=AVERAGE(a184, a185, a186, a187, a188, a189, a190, a191, a192, a193) =AVERAGE(b184, b185, b186, b187, b188, b189, b190, b191, b192, b193) =AVERAGE(c184, c185, c186, c187, c188, c189, c190, c191, c192, c193) =AVERAGE(d184, d185, d186, d187, d188, d189, d190, d191, d192, d193) =AVERAGE(e184, e185, e186, e187, e188, e189, e190, e191, e192, e193) =AVERAGE(f184, f185, f186, f187, f188, f189, f190, f191, f192, f193) =AVERAGE(g184, g185, g186, g187, g188, g189, g190, g191, g192, g193) =AVERAGE(h184, h185, h186, h187, h188, h189, h190, h191, h192, h193) =AVERAGE(i184, i185, i186, i187, i188, i189, i190, i191, i192, i193) =AVERAGE(j184, j185, j186, j187, j188, j189, j190, j191, j192, j193) =AVERAGE(k184, k185, k186, k187, k188, k189, k190, k191, k192, k193) =AVERAGE(l184, l185, l186, l187, l188, l189, l190, l191, l192, l193) =AVERAGE(m184, m185, m186, m187, m188, m189, m190, m191, m192, m193) =AVERAGE(n184, n185, n186, n187, n188, n189, n190, n191, n192, n193) =AVERAGE(o184, o185, o186, o187, o188, o189, o190, o191, o192, o193) =AVERAGE(p184, p185, p186, p187, p188, p189, p190, p191, p192, p193) =AVERAGE(q184, q185, q186, q187, q188, q189, q190, q191, q192, q193) =AVERAGE(r184, r185, r186, r187, r188, r189, r190, r191, r192, r193) =AVERAGE(s184, s185, s186, s187, s188, s189, s190, s191, s192, s193) =AVERAGE(t184, t185, t186, t187, t188, t189, t190, t191, t192, t193) =STDEV.P(a184, a185, a186, a187, a188, a189, a190, a191, a192, a193) =STDEV.P(b184, b185, b186, b187, b188, b189, b190, b191, b192, b193) =STDEV.P(c184, c185, c186, c187, c188, c189, c190, c191, c192, c193) =STDEV.P(d184, d185, d186, d187, d188, d189, d190, d191, d192, d193) =STDEV.P(e184, e185, e186, e187, e188, e189, e190, e191, e192, e193) =STDEV.P(f184, f185, f186, f187, f188, f189, f190, f191, f192, f193) =STDEV.P(g184, g185, g186, g187, g188, g189, g190, g191, g192, g193) =STDEV.P(h184, h185, h186, h187, h188, h189, h190, h191, h192, h193) =STDEV.P(i184, i185, i186, i187, i188, i189, i190, i191, i192, i193) =STDEV.P(j184, j185, j186, j187, j188, j189, j190, j191, j192, j193) =STDEV.P(k184, k185, k186, k187, k188, k189, k190, k191, k192, k193) =STDEV.P(l184, l185, l186, l187, l188, l189, l190, l191, l192, l193) =STDEV.P(m184, m185, m186, m187, m188, m189, m190, m191, m192, m193) =STDEV.P(n184, n185, n186, n187, n188, n189, n190, n191, n192, n193) =STDEV.P(o184, o185, o186, o187, o188, o189, o190, o191, o192, o193) =STDEV.P(p184, p185, p186, p187, p188, p189, p190, p191, p192, p193) =STDEV.P(q184, q185, q186, q187, q188, q189, q190, q191, q192, q193) =STDEV.P(r184, r185, r186, r187, r188, r189, r190, r191, r192, r193) =STDEV.P(s184, s185, s186, s187, s188, s189, s190, s191, s192, s193) =STDEV.P(t184, t185, t186, t187, t188, t189, t190, t191, t192, t193) +=AVERAGE(a194, a195, a196, a197, a198, a199, a200, a201, a202, a203) =AVERAGE(b194, b195, b196, b197, b198, b199, b200, b201, b202, b203) =AVERAGE(c194, c195, c196, c197, c198, c199, c200, c201, c202, c203) =AVERAGE(d194, d195, d196, d197, d198, d199, d200, d201, d202, d203) =AVERAGE(e194, e195, e196, e197, e198, e199, e200, e201, e202, e203) =AVERAGE(f194, f195, f196, f197, f198, f199, f200, f201, f202, f203) =AVERAGE(g194, g195, g196, g197, g198, g199, g200, g201, g202, g203) =AVERAGE(h194, h195, h196, h197, h198, h199, h200, h201, h202, h203) =AVERAGE(i194, i195, i196, i197, i198, i199, i200, i201, i202, i203) =AVERAGE(j194, j195, j196, j197, j198, j199, j200, j201, j202, j203) =AVERAGE(k194, k195, k196, k197, k198, k199, k200, k201, k202, k203) =AVERAGE(l194, l195, l196, l197, l198, l199, l200, l201, l202, l203) =AVERAGE(m194, m195, m196, m197, m198, m199, m200, m201, m202, m203) =AVERAGE(n194, n195, n196, n197, n198, n199, n200, n201, n202, n203) =AVERAGE(o194, o195, o196, o197, o198, o199, o200, o201, o202, o203) =AVERAGE(p194, p195, p196, p197, p198, p199, p200, p201, p202, p203) =AVERAGE(q194, q195, q196, q197, q198, q199, q200, q201, q202, q203) =AVERAGE(r194, r195, r196, r197, r198, r199, r200, r201, r202, r203) =AVERAGE(s194, s195, s196, s197, s198, s199, s200, s201, s202, s203) =AVERAGE(t194, t195, t196, t197, t198, t199, t200, t201, t202, t203) =STDEV.P(a194, a195, a196, a197, a198, a199, a200, a201, a202, a203) =STDEV.P(b194, b195, b196, b197, b198, b199, b200, b201, b202, b203) =STDEV.P(c194, c195, c196, c197, c198, c199, c200, c201, c202, c203) =STDEV.P(d194, d195, d196, d197, d198, d199, d200, d201, d202, d203) =STDEV.P(e194, e195, e196, e197, e198, e199, e200, e201, e202, e203) =STDEV.P(f194, f195, f196, f197, f198, f199, f200, f201, f202, f203) =STDEV.P(g194, g195, g196, g197, g198, g199, g200, g201, g202, g203) =STDEV.P(h194, h195, h196, h197, h198, h199, h200, h201, h202, h203) =STDEV.P(i194, i195, i196, i197, i198, i199, i200, i201, i202, i203) =STDEV.P(j194, j195, j196, j197, j198, j199, j200, j201, j202, j203) =STDEV.P(k194, k195, k196, k197, k198, k199, k200, k201, k202, k203) =STDEV.P(l194, l195, l196, l197, l198, l199, l200, l201, l202, l203) =STDEV.P(m194, m195, m196, m197, m198, m199, m200, m201, m202, m203) =STDEV.P(n194, n195, n196, n197, n198, n199, n200, n201, n202, n203) =STDEV.P(o194, o195, o196, o197, o198, o199, o200, o201, o202, o203) =STDEV.P(p194, p195, p196, p197, p198, p199, p200, p201, p202, p203) =STDEV.P(q194, q195, q196, q197, q198, q199, q200, q201, q202, q203) =STDEV.P(r194, r195, r196, r197, r198, r199, r200, r201, r202, r203) =STDEV.P(s194, s195, s196, s197, s198, s199, s200, s201, s202, s203) =STDEV.P(t194, t195, t196, t197, t198, t199, t200, t201, t202, t203) +=AVERAGE(a204, a205, a206, a207, a208, a209, a210, a211, a212, a213) =AVERAGE(b204, b205, b206, b207, b208, b209, b210, b211, b212, b213) =AVERAGE(c204, c205, c206, c207, c208, c209, c210, c211, c212, c213) =AVERAGE(d204, d205, d206, d207, d208, d209, d210, d211, d212, d213) =AVERAGE(e204, e205, e206, e207, e208, e209, e210, e211, e212, e213) =AVERAGE(f204, f205, f206, f207, f208, f209, f210, f211, f212, f213) =AVERAGE(g204, g205, g206, g207, g208, g209, g210, g211, g212, g213) =AVERAGE(h204, h205, h206, h207, h208, h209, h210, h211, h212, h213) =AVERAGE(i204, i205, i206, i207, i208, i209, i210, i211, i212, i213) =AVERAGE(j204, j205, j206, j207, j208, j209, j210, j211, j212, j213) =AVERAGE(k204, k205, k206, k207, k208, k209, k210, k211, k212, k213) =AVERAGE(l204, l205, l206, l207, l208, l209, l210, l211, l212, l213) =AVERAGE(m204, m205, m206, m207, m208, m209, m210, m211, m212, m213) =AVERAGE(n204, n205, n206, n207, n208, n209, n210, n211, n212, n213) =AVERAGE(o204, o205, o206, o207, o208, o209, o210, o211, o212, o213) =AVERAGE(p204, p205, p206, p207, p208, p209, p210, p211, p212, p213) =AVERAGE(q204, q205, q206, q207, q208, q209, q210, q211, q212, q213) =AVERAGE(r204, r205, r206, r207, r208, r209, r210, r211, r212, r213) =AVERAGE(s204, s205, s206, s207, s208, s209, s210, s211, s212, s213) =AVERAGE(t204, t205, t206, t207, t208, t209, t210, t211, t212, t213) =STDEV.P(a204, a205, a206, a207, a208, a209, a210, a211, a212, a213) =STDEV.P(b204, b205, b206, b207, b208, b209, b210, b211, b212, b213) =STDEV.P(c204, c205, c206, c207, c208, c209, c210, c211, c212, c213) =STDEV.P(d204, d205, d206, d207, d208, d209, d210, d211, d212, d213) =STDEV.P(e204, e205, e206, e207, e208, e209, e210, e211, e212, e213) =STDEV.P(f204, f205, f206, f207, f208, f209, f210, f211, f212, f213) =STDEV.P(g204, g205, g206, g207, g208, g209, g210, g211, g212, g213) =STDEV.P(h204, h205, h206, h207, h208, h209, h210, h211, h212, h213) =STDEV.P(i204, i205, i206, i207, i208, i209, i210, i211, i212, i213) =STDEV.P(j204, j205, j206, j207, j208, j209, j210, j211, j212, j213) =STDEV.P(k204, k205, k206, k207, k208, k209, k210, k211, k212, k213) =STDEV.P(l204, l205, l206, l207, l208, l209, l210, l211, l212, l213) =STDEV.P(m204, m205, m206, m207, m208, m209, m210, m211, m212, m213) =STDEV.P(n204, n205, n206, n207, n208, n209, n210, n211, n212, n213) =STDEV.P(o204, o205, o206, o207, o208, o209, o210, o211, o212, o213) =STDEV.P(p204, p205, p206, p207, p208, p209, p210, p211, p212, p213) =STDEV.P(q204, q205, q206, q207, q208, q209, q210, q211, q212, q213) =STDEV.P(r204, r205, r206, r207, r208, r209, r210, r211, r212, r213) =STDEV.P(s204, s205, s206, s207, s208, s209, s210, s211, s212, s213) =STDEV.P(t204, t205, t206, t207, t208, t209, t210, t211, t212, t213) +=AVERAGE(a214, a215, a216, a217, a218, a219, a220, a221, a222, a223) =AVERAGE(b214, b215, b216, b217, b218, b219, b220, b221, b222, b223) =AVERAGE(c214, c215, c216, c217, c218, c219, c220, c221, c222, c223) =AVERAGE(d214, d215, d216, d217, d218, d219, d220, d221, d222, d223) =AVERAGE(e214, e215, e216, e217, e218, e219, e220, e221, e222, e223) =AVERAGE(f214, f215, f216, f217, f218, f219, f220, f221, f222, f223) =AVERAGE(g214, g215, g216, g217, g218, g219, g220, g221, g222, g223) =AVERAGE(h214, h215, h216, h217, h218, h219, h220, h221, h222, h223) =AVERAGE(i214, i215, i216, i217, i218, i219, i220, i221, i222, i223) =AVERAGE(j214, j215, j216, j217, j218, j219, j220, j221, j222, j223) =AVERAGE(k214, k215, k216, k217, k218, k219, k220, k221, k222, k223) =AVERAGE(l214, l215, l216, l217, l218, l219, l220, l221, l222, l223) =AVERAGE(m214, m215, m216, m217, m218, m219, m220, m221, m222, m223) =AVERAGE(n214, n215, n216, n217, n218, n219, n220, n221, n222, n223) =AVERAGE(o214, o215, o216, o217, o218, o219, o220, o221, o222, o223) =AVERAGE(p214, p215, p216, p217, p218, p219, p220, p221, p222, p223) =AVERAGE(q214, q215, q216, q217, q218, q219, q220, q221, q222, q223) =AVERAGE(r214, r215, r216, r217, r218, r219, r220, r221, r222, r223) =AVERAGE(s214, s215, s216, s217, s218, s219, s220, s221, s222, s223) =AVERAGE(t214, t215, t216, t217, t218, t219, t220, t221, t222, t223) =STDEV.P(a214, a215, a216, a217, a218, a219, a220, a221, a222, a223) =STDEV.P(b214, b215, b216, b217, b218, b219, b220, b221, b222, b223) =STDEV.P(c214, c215, c216, c217, c218, c219, c220, c221, c222, c223) =STDEV.P(d214, d215, d216, d217, d218, d219, d220, d221, d222, d223) =STDEV.P(e214, e215, e216, e217, e218, e219, e220, e221, e222, e223) =STDEV.P(f214, f215, f216, f217, f218, f219, f220, f221, f222, f223) =STDEV.P(g214, g215, g216, g217, g218, g219, g220, g221, g222, g223) =STDEV.P(h214, h215, h216, h217, h218, h219, h220, h221, h222, h223) =STDEV.P(i214, i215, i216, i217, i218, i219, i220, i221, i222, i223) =STDEV.P(j214, j215, j216, j217, j218, j219, j220, j221, j222, j223) =STDEV.P(k214, k215, k216, k217, k218, k219, k220, k221, k222, k223) =STDEV.P(l214, l215, l216, l217, l218, l219, l220, l221, l222, l223) =STDEV.P(m214, m215, m216, m217, m218, m219, m220, m221, m222, m223) =STDEV.P(n214, n215, n216, n217, n218, n219, n220, n221, n222, n223) =STDEV.P(o214, o215, o216, o217, o218, o219, o220, o221, o222, o223) =STDEV.P(p214, p215, p216, p217, p218, p219, p220, p221, p222, p223) =STDEV.P(q214, q215, q216, q217, q218, q219, q220, q221, q222, q223) =STDEV.P(r214, r215, r216, r217, r218, r219, r220, r221, r222, r223) =STDEV.P(s214, s215, s216, s217, s218, s219, s220, s221, s222, s223) =STDEV.P(t214, t215, t216, t217, t218, t219, t220, t221, t222, t223) +=AVERAGE(a224, a225, a226, a227, a228, a229, a230, a231, a232, a233) =AVERAGE(b224, b225, b226, b227, b228, b229, b230, b231, b232, b233) =AVERAGE(c224, c225, c226, c227, c228, c229, c230, c231, c232, c233) =AVERAGE(d224, d225, d226, d227, d228, d229, d230, d231, d232, d233) =AVERAGE(e224, e225, e226, e227, e228, e229, e230, e231, e232, e233) =AVERAGE(f224, f225, f226, f227, f228, f229, f230, f231, f232, f233) =AVERAGE(g224, g225, g226, g227, g228, g229, g230, g231, g232, g233) =AVERAGE(h224, h225, h226, h227, h228, h229, h230, h231, h232, h233) =AVERAGE(i224, i225, i226, i227, i228, i229, i230, i231, i232, i233) =AVERAGE(j224, j225, j226, j227, j228, j229, j230, j231, j232, j233) =AVERAGE(k224, k225, k226, k227, k228, k229, k230, k231, k232, k233) =AVERAGE(l224, l225, l226, l227, l228, l229, l230, l231, l232, l233) =AVERAGE(m224, m225, m226, m227, m228, m229, m230, m231, m232, m233) =AVERAGE(n224, n225, n226, n227, n228, n229, n230, n231, n232, n233) =AVERAGE(o224, o225, o226, o227, o228, o229, o230, o231, o232, o233) =AVERAGE(p224, p225, p226, p227, p228, p229, p230, p231, p232, p233) =AVERAGE(q224, q225, q226, q227, q228, q229, q230, q231, q232, q233) =AVERAGE(r224, r225, r226, r227, r228, r229, r230, r231, r232, r233) =AVERAGE(s224, s225, s226, s227, s228, s229, s230, s231, s232, s233) =AVERAGE(t224, t225, t226, t227, t228, t229, t230, t231, t232, t233) =STDEV.P(a224, a225, a226, a227, a228, a229, a230, a231, a232, a233) =STDEV.P(b224, b225, b226, b227, b228, b229, b230, b231, b232, b233) =STDEV.P(c224, c225, c226, c227, c228, c229, c230, c231, c232, c233) =STDEV.P(d224, d225, d226, d227, d228, d229, d230, d231, d232, d233) =STDEV.P(e224, e225, e226, e227, e228, e229, e230, e231, e232, e233) =STDEV.P(f224, f225, f226, f227, f228, f229, f230, f231, f232, f233) =STDEV.P(g224, g225, g226, g227, g228, g229, g230, g231, g232, g233) =STDEV.P(h224, h225, h226, h227, h228, h229, h230, h231, h232, h233) =STDEV.P(i224, i225, i226, i227, i228, i229, i230, i231, i232, i233) =STDEV.P(j224, j225, j226, j227, j228, j229, j230, j231, j232, j233) =STDEV.P(k224, k225, k226, k227, k228, k229, k230, k231, k232, k233) =STDEV.P(l224, l225, l226, l227, l228, l229, l230, l231, l232, l233) =STDEV.P(m224, m225, m226, m227, m228, m229, m230, m231, m232, m233) =STDEV.P(n224, n225, n226, n227, n228, n229, n230, n231, n232, n233) =STDEV.P(o224, o225, o226, o227, o228, o229, o230, o231, o232, o233) =STDEV.P(p224, p225, p226, p227, p228, p229, p230, p231, p232, p233) =STDEV.P(q224, q225, q226, q227, q228, q229, q230, q231, q232, q233) =STDEV.P(r224, r225, r226, r227, r228, r229, r230, r231, r232, r233) =STDEV.P(s224, s225, s226, s227, s228, s229, s230, s231, s232, s233) =STDEV.P(t224, t225, t226, t227, t228, t229, t230, t231, t232, t233) +=AVERAGE(a234, a235, a236, a237, a238, a239, a240, a241, a242, a243) =AVERAGE(b234, b235, b236, b237, b238, b239, b240, b241, b242, b243) =AVERAGE(c234, c235, c236, c237, c238, c239, c240, c241, c242, c243) =AVERAGE(d234, d235, d236, d237, d238, d239, d240, d241, d242, d243) =AVERAGE(e234, e235, e236, e237, e238, e239, e240, e241, e242, e243) =AVERAGE(f234, f235, f236, f237, f238, f239, f240, f241, f242, f243) =AVERAGE(g234, g235, g236, g237, g238, g239, g240, g241, g242, g243) =AVERAGE(h234, h235, h236, h237, h238, h239, h240, h241, h242, h243) =AVERAGE(i234, i235, i236, i237, i238, i239, i240, i241, i242, i243) =AVERAGE(j234, j235, j236, j237, j238, j239, j240, j241, j242, j243) =AVERAGE(k234, k235, k236, k237, k238, k239, k240, k241, k242, k243) =AVERAGE(l234, l235, l236, l237, l238, l239, l240, l241, l242, l243) =AVERAGE(m234, m235, m236, m237, m238, m239, m240, m241, m242, m243) =AVERAGE(n234, n235, n236, n237, n238, n239, n240, n241, n242, n243) =AVERAGE(o234, o235, o236, o237, o238, o239, o240, o241, o242, o243) =AVERAGE(p234, p235, p236, p237, p238, p239, p240, p241, p242, p243) =AVERAGE(q234, q235, q236, q237, q238, q239, q240, q241, q242, q243) =AVERAGE(r234, r235, r236, r237, r238, r239, r240, r241, r242, r243) =AVERAGE(s234, s235, s236, s237, s238, s239, s240, s241, s242, s243) =AVERAGE(t234, t235, t236, t237, t238, t239, t240, t241, t242, t243) =STDEV.P(a234, a235, a236, a237, a238, a239, a240, a241, a242, a243) =STDEV.P(b234, b235, b236, b237, b238, b239, b240, b241, b242, b243) =STDEV.P(c234, c235, c236, c237, c238, c239, c240, c241, c242, c243) =STDEV.P(d234, d235, d236, d237, d238, d239, d240, d241, d242, d243) =STDEV.P(e234, e235, e236, e237, e238, e239, e240, e241, e242, e243) =STDEV.P(f234, f235, f236, f237, f238, f239, f240, f241, f242, f243) =STDEV.P(g234, g235, g236, g237, g238, g239, g240, g241, g242, g243) =STDEV.P(h234, h235, h236, h237, h238, h239, h240, h241, h242, h243) =STDEV.P(i234, i235, i236, i237, i238, i239, i240, i241, i242, i243) =STDEV.P(j234, j235, j236, j237, j238, j239, j240, j241, j242, j243) =STDEV.P(k234, k235, k236, k237, k238, k239, k240, k241, k242, k243) =STDEV.P(l234, l235, l236, l237, l238, l239, l240, l241, l242, l243) =STDEV.P(m234, m235, m236, m237, m238, m239, m240, m241, m242, m243) =STDEV.P(n234, n235, n236, n237, n238, n239, n240, n241, n242, n243) =STDEV.P(o234, o235, o236, o237, o238, o239, o240, o241, o242, o243) =STDEV.P(p234, p235, p236, p237, p238, p239, p240, p241, p242, p243) =STDEV.P(q234, q235, q236, q237, q238, q239, q240, q241, q242, q243) =STDEV.P(r234, r235, r236, r237, r238, r239, r240, r241, r242, r243) =STDEV.P(s234, s235, s236, s237, s238, s239, s240, s241, s242, s243) =STDEV.P(t234, t235, t236, t237, t238, t239, t240, t241, t242, t243) +=AVERAGE(a244, a245, a246, a247, a248, a249, a250, a251, a252, a253) =AVERAGE(b244, b245, b246, b247, b248, b249, b250, b251, b252, b253) =AVERAGE(c244, c245, c246, c247, c248, c249, c250, c251, c252, c253) =AVERAGE(d244, d245, d246, d247, d248, d249, d250, d251, d252, d253) =AVERAGE(e244, e245, e246, e247, e248, e249, e250, e251, e252, e253) =AVERAGE(f244, f245, f246, f247, f248, f249, f250, f251, f252, f253) =AVERAGE(g244, g245, g246, g247, g248, g249, g250, g251, g252, g253) =AVERAGE(h244, h245, h246, h247, h248, h249, h250, h251, h252, h253) =AVERAGE(i244, i245, i246, i247, i248, i249, i250, i251, i252, i253) =AVERAGE(j244, j245, j246, j247, j248, j249, j250, j251, j252, j253) =AVERAGE(k244, k245, k246, k247, k248, k249, k250, k251, k252, k253) =AVERAGE(l244, l245, l246, l247, l248, l249, l250, l251, l252, l253) =AVERAGE(m244, m245, m246, m247, m248, m249, m250, m251, m252, m253) =AVERAGE(n244, n245, n246, n247, n248, n249, n250, n251, n252, n253) =AVERAGE(o244, o245, o246, o247, o248, o249, o250, o251, o252, o253) =AVERAGE(p244, p245, p246, p247, p248, p249, p250, p251, p252, p253) =AVERAGE(q244, q245, q246, q247, q248, q249, q250, q251, q252, q253) =AVERAGE(r244, r245, r246, r247, r248, r249, r250, r251, r252, r253) =AVERAGE(s244, s245, s246, s247, s248, s249, s250, s251, s252, s253) =AVERAGE(t244, t245, t246, t247, t248, t249, t250, t251, t252, t253) =STDEV.P(a244, a245, a246, a247, a248, a249, a250, a251, a252, a253) =STDEV.P(b244, b245, b246, b247, b248, b249, b250, b251, b252, b253) =STDEV.P(c244, c245, c246, c247, c248, c249, c250, c251, c252, c253) =STDEV.P(d244, d245, d246, d247, d248, d249, d250, d251, d252, d253) =STDEV.P(e244, e245, e246, e247, e248, e249, e250, e251, e252, e253) =STDEV.P(f244, f245, f246, f247, f248, f249, f250, f251, f252, f253) =STDEV.P(g244, g245, g246, g247, g248, g249, g250, g251, g252, g253) =STDEV.P(h244, h245, h246, h247, h248, h249, h250, h251, h252, h253) =STDEV.P(i244, i245, i246, i247, i248, i249, i250, i251, i252, i253) =STDEV.P(j244, j245, j246, j247, j248, j249, j250, j251, j252, j253) =STDEV.P(k244, k245, k246, k247, k248, k249, k250, k251, k252, k253) =STDEV.P(l244, l245, l246, l247, l248, l249, l250, l251, l252, l253) =STDEV.P(m244, m245, m246, m247, m248, m249, m250, m251, m252, m253) =STDEV.P(n244, n245, n246, n247, n248, n249, n250, n251, n252, n253) =STDEV.P(o244, o245, o246, o247, o248, o249, o250, o251, o252, o253) =STDEV.P(p244, p245, p246, p247, p248, p249, p250, p251, p252, p253) =STDEV.P(q244, q245, q246, q247, q248, q249, q250, q251, q252, q253) =STDEV.P(r244, r245, r246, r247, r248, r249, r250, r251, r252, r253) =STDEV.P(s244, s245, s246, s247, s248, s249, s250, s251, s252, s253) =STDEV.P(t244, t245, t246, t247, t248, t249, t250, t251, t252, t253) +=AVERAGE(a254, a255, a256, a257, a258, a259, a260, a261, a262, a263) =AVERAGE(b254, b255, b256, b257, b258, b259, b260, b261, b262, b263) =AVERAGE(c254, c255, c256, c257, c258, c259, c260, c261, c262, c263) =AVERAGE(d254, d255, d256, d257, d258, d259, d260, d261, d262, d263) =AVERAGE(e254, e255, e256, e257, e258, e259, e260, e261, e262, e263) =AVERAGE(f254, f255, f256, f257, f258, f259, f260, f261, f262, f263) =AVERAGE(g254, g255, g256, g257, g258, g259, g260, g261, g262, g263) =AVERAGE(h254, h255, h256, h257, h258, h259, h260, h261, h262, h263) =AVERAGE(i254, i255, i256, i257, i258, i259, i260, i261, i262, i263) =AVERAGE(j254, j255, j256, j257, j258, j259, j260, j261, j262, j263) =AVERAGE(k254, k255, k256, k257, k258, k259, k260, k261, k262, k263) =AVERAGE(l254, l255, l256, l257, l258, l259, l260, l261, l262, l263) =AVERAGE(m254, m255, m256, m257, m258, m259, m260, m261, m262, m263) =AVERAGE(n254, n255, n256, n257, n258, n259, n260, n261, n262, n263) =AVERAGE(o254, o255, o256, o257, o258, o259, o260, o261, o262, o263) =AVERAGE(p254, p255, p256, p257, p258, p259, p260, p261, p262, p263) =AVERAGE(q254, q255, q256, q257, q258, q259, q260, q261, q262, q263) =AVERAGE(r254, r255, r256, r257, r258, r259, r260, r261, r262, r263) =AVERAGE(s254, s255, s256, s257, s258, s259, s260, s261, s262, s263) =AVERAGE(t254, t255, t256, t257, t258, t259, t260, t261, t262, t263) =STDEV.P(a254, a255, a256, a257, a258, a259, a260, a261, a262, a263) =STDEV.P(b254, b255, b256, b257, b258, b259, b260, b261, b262, b263) =STDEV.P(c254, c255, c256, c257, c258, c259, c260, c261, c262, c263) =STDEV.P(d254, d255, d256, d257, d258, d259, d260, d261, d262, d263) =STDEV.P(e254, e255, e256, e257, e258, e259, e260, e261, e262, e263) =STDEV.P(f254, f255, f256, f257, f258, f259, f260, f261, f262, f263) =STDEV.P(g254, g255, g256, g257, g258, g259, g260, g261, g262, g263) =STDEV.P(h254, h255, h256, h257, h258, h259, h260, h261, h262, h263) =STDEV.P(i254, i255, i256, i257, i258, i259, i260, i261, i262, i263) =STDEV.P(j254, j255, j256, j257, j258, j259, j260, j261, j262, j263) =STDEV.P(k254, k255, k256, k257, k258, k259, k260, k261, k262, k263) =STDEV.P(l254, l255, l256, l257, l258, l259, l260, l261, l262, l263) =STDEV.P(m254, m255, m256, m257, m258, m259, m260, m261, m262, m263) =STDEV.P(n254, n255, n256, n257, n258, n259, n260, n261, n262, n263) =STDEV.P(o254, o255, o256, o257, o258, o259, o260, o261, o262, o263) =STDEV.P(p254, p255, p256, p257, p258, p259, p260, p261, p262, p263) =STDEV.P(q254, q255, q256, q257, q258, q259, q260, q261, q262, q263) =STDEV.P(r254, r255, r256, r257, r258, r259, r260, r261, r262, r263) =STDEV.P(s254, s255, s256, s257, s258, s259, s260, s261, s262, s263) =STDEV.P(t254, t255, t256, t257, t258, t259, t260, t261, t262, t263) +=AVERAGE(a264, a265, a266, a267, a268, a269, a270, a271, a272) =AVERAGE(b264, b265, b266, b267, b268, b269, b270, b271, b272) =AVERAGE(c264, c265, c266, c267, c268, c269, c270, c271, c272) =AVERAGE(d264, d265, d266, d267, d268, d269, d270, d271, d272) =AVERAGE(e264, e265, e266, e267, e268, e269, e270, e271, e272) =AVERAGE(f264, f265, f266, f267, f268, f269, f270, f271, f272) =AVERAGE(g264, g265, g266, g267, g268, g269, g270, g271, g272) =AVERAGE(h264, h265, h266, h267, h268, h269, h270, h271, h272) =AVERAGE(i264, i265, i266, i267, i268, i269, i270, i271, i272) =AVERAGE(j264, j265, j266, j267, j268, j269, j270, j271, j272) =AVERAGE(k264, k265, k266, k267, k268, k269, k270, k271, k272) =AVERAGE(l264, l265, l266, l267, l268, l269, l270, l271, l272) =AVERAGE(m264, m265, m266, m267, m268, m269, m270, m271, m272) =AVERAGE(n264, n265, n266, n267, n268, n269, n270, n271, n272) =AVERAGE(o264, o265, o266, o267, o268, o269, o270, o271, o272) =AVERAGE(p264, p265, p266, p267, p268, p269, p270, p271, p272) =AVERAGE(q264, q265, q266, q267, q268, q269, q270, q271, q272) =AVERAGE(r264, r265, r266, r267, r268, r269, r270, r271, r272) =AVERAGE(s264, s265, s266, s267, s268, s269, s270, s271, s272) =AVERAGE(t264, t265, t266, t267, t268, t269, t270, t271, t272) =STDEV.P(a264, a265, a266, a267, a268, a269, a270, a271, a272) =STDEV.P(b264, b265, b266, b267, b268, b269, b270, b271, b272) =STDEV.P(c264, c265, c266, c267, c268, c269, c270, c271, c272) =STDEV.P(d264, d265, d266, d267, d268, d269, d270, d271, d272) =STDEV.P(e264, e265, e266, e267, e268, e269, e270, e271, e272) =STDEV.P(f264, f265, f266, f267, f268, f269, f270, f271, f272) =STDEV.P(g264, g265, g266, g267, g268, g269, g270, g271, g272) =STDEV.P(h264, h265, h266, h267, h268, h269, h270, h271, h272) =STDEV.P(i264, i265, i266, i267, i268, i269, i270, i271, i272) =STDEV.P(j264, j265, j266, j267, j268, j269, j270, j271, j272) =STDEV.P(k264, k265, k266, k267, k268, k269, k270, k271, k272) =STDEV.P(l264, l265, l266, l267, l268, l269, l270, l271, l272) =STDEV.P(m264, m265, m266, m267, m268, m269, m270, m271, m272) =STDEV.P(n264, n265, n266, n267, n268, n269, n270, n271, n272) =STDEV.P(o264, o265, o266, o267, o268, o269, o270, o271, o272) =STDEV.P(p264, p265, p266, p267, p268, p269, p270, p271, p272) =STDEV.P(q264, q265, q266, q267, q268, q269, q270, q271, q272) =STDEV.P(r264, r265, r266, r267, r268, r269, r270, r271, r272) =STDEV.P(s264, s265, s266, s267, s268, s269, s270, s271, s272) =STDEV.P(t264, t265, t266, t267, t268, t269, t270, t271, t272) +=AVERAGE(a273, a274, a275, a276, a277, a278, a279, a280) =AVERAGE(b273, b274, b275, b276, b277, b278, b279, b280) =AVERAGE(c273, c274, c275, c276, c277, c278, c279, c280) =AVERAGE(d273, d274, d275, d276, d277, d278, d279, d280) =AVERAGE(e273, e274, e275, e276, e277, e278, e279, e280) =AVERAGE(f273, f274, f275, f276, f277, f278, f279, f280) =AVERAGE(g273, g274, g275, g276, g277, g278, g279, g280) =AVERAGE(h273, h274, h275, h276, h277, h278, h279, h280) =AVERAGE(i273, i274, i275, i276, i277, i278, i279, i280) =AVERAGE(j273, j274, j275, j276, j277, j278, j279, j280) =AVERAGE(k273, k274, k275, k276, k277, k278, k279, k280) =AVERAGE(l273, l274, l275, l276, l277, l278, l279, l280) =AVERAGE(m273, m274, m275, m276, m277, m278, m279, m280) =AVERAGE(n273, n274, n275, n276, n277, n278, n279, n280) =AVERAGE(o273, o274, o275, o276, o277, o278, o279, o280) =AVERAGE(p273, p274, p275, p276, p277, p278, p279, p280) =AVERAGE(q273, q274, q275, q276, q277, q278, q279, q280) =AVERAGE(r273, r274, r275, r276, r277, r278, r279, r280) =AVERAGE(s273, s274, s275, s276, s277, s278, s279, s280) =AVERAGE(t273, t274, t275, t276, t277, t278, t279, t280) =STDEV.P(a273, a274, a275, a276, a277, a278, a279, a280) =STDEV.P(b273, b274, b275, b276, b277, b278, b279, b280) =STDEV.P(c273, c274, c275, c276, c277, c278, c279, c280) =STDEV.P(d273, d274, d275, d276, d277, d278, d279, d280) =STDEV.P(e273, e274, e275, e276, e277, e278, e279, e280) =STDEV.P(f273, f274, f275, f276, f277, f278, f279, f280) =STDEV.P(g273, g274, g275, g276, g277, g278, g279, g280) =STDEV.P(h273, h274, h275, h276, h277, h278, h279, h280) =STDEV.P(i273, i274, i275, i276, i277, i278, i279, i280) =STDEV.P(j273, j274, j275, j276, j277, j278, j279, j280) =STDEV.P(k273, k274, k275, k276, k277, k278, k279, k280) =STDEV.P(l273, l274, l275, l276, l277, l278, l279, l280) =STDEV.P(m273, m274, m275, m276, m277, m278, m279, m280) =STDEV.P(n273, n274, n275, n276, n277, n278, n279, n280) =STDEV.P(o273, o274, o275, o276, o277, o278, o279, o280) =STDEV.P(p273, p274, p275, p276, p277, p278, p279, p280) =STDEV.P(q273, q274, q275, q276, q277, q278, q279, q280) =STDEV.P(r273, r274, r275, r276, r277, r278, r279, r280) =STDEV.P(s273, s274, s275, s276, s277, s278, s279, s280) =STDEV.P(t273, t274, t275, t276, t277, t278, t279, t280) +=AVERAGE(a281, a282, a283, a284, a285, a286, a287, a288) =AVERAGE(b281, b282, b283, b284, b285, b286, b287, b288) =AVERAGE(c281, c282, c283, c284, c285, c286, c287, c288) =AVERAGE(d281, d282, d283, d284, d285, d286, d287, d288) =AVERAGE(e281, e282, e283, e284, e285, e286, e287, e288) =AVERAGE(f281, f282, f283, f284, f285, f286, f287, f288) =AVERAGE(g281, g282, g283, g284, g285, g286, g287, g288) =AVERAGE(h281, h282, h283, h284, h285, h286, h287, h288) =AVERAGE(i281, i282, i283, i284, i285, i286, i287, i288) =AVERAGE(j281, j282, j283, j284, j285, j286, j287, j288) =AVERAGE(k281, k282, k283, k284, k285, k286, k287, k288) =AVERAGE(l281, l282, l283, l284, l285, l286, l287, l288) =AVERAGE(m281, m282, m283, m284, m285, m286, m287, m288) =AVERAGE(n281, n282, n283, n284, n285, n286, n287, n288) =AVERAGE(o281, o282, o283, o284, o285, o286, o287, o288) =AVERAGE(p281, p282, p283, p284, p285, p286, p287, p288) =AVERAGE(q281, q282, q283, q284, q285, q286, q287, q288) =AVERAGE(r281, r282, r283, r284, r285, r286, r287, r288) =AVERAGE(s281, s282, s283, s284, s285, s286, s287, s288) =AVERAGE(t281, t282, t283, t284, t285, t286, t287, t288) =STDEV.P(a281, a282, a283, a284, a285, a286, a287, a288) =STDEV.P(b281, b282, b283, b284, b285, b286, b287, b288) =STDEV.P(c281, c282, c283, c284, c285, c286, c287, c288) =STDEV.P(d281, d282, d283, d284, d285, d286, d287, d288) =STDEV.P(e281, e282, e283, e284, e285, e286, e287, e288) =STDEV.P(f281, f282, f283, f284, f285, f286, f287, f288) =STDEV.P(g281, g282, g283, g284, g285, g286, g287, g288) =STDEV.P(h281, h282, h283, h284, h285, h286, h287, h288) =STDEV.P(i281, i282, i283, i284, i285, i286, i287, i288) =STDEV.P(j281, j282, j283, j284, j285, j286, j287, j288) =STDEV.P(k281, k282, k283, k284, k285, k286, k287, k288) =STDEV.P(l281, l282, l283, l284, l285, l286, l287, l288) =STDEV.P(m281, m282, m283, m284, m285, m286, m287, m288) =STDEV.P(n281, n282, n283, n284, n285, n286, n287, n288) =STDEV.P(o281, o282, o283, o284, o285, o286, o287, o288) =STDEV.P(p281, p282, p283, p284, p285, p286, p287, p288) =STDEV.P(q281, q282, q283, q284, q285, q286, q287, q288) =STDEV.P(r281, r282, r283, r284, r285, r286, r287, r288) =STDEV.P(s281, s282, s283, s284, s285, s286, s287, s288) =STDEV.P(t281, t282, t283, t284, t285, t286, t287, t288) +=AVERAGE(a289, a290, a291, a292, a293, a294, a295, a296) =AVERAGE(b289, b290, b291, b292, b293, b294, b295, b296) =AVERAGE(c289, c290, c291, c292, c293, c294, c295, c296) =AVERAGE(d289, d290, d291, d292, d293, d294, d295, d296) =AVERAGE(e289, e290, e291, e292, e293, e294, e295, e296) =AVERAGE(f289, f290, f291, f292, f293, f294, f295, f296) =AVERAGE(g289, g290, g291, g292, g293, g294, g295, g296) =AVERAGE(h289, h290, h291, h292, h293, h294, h295, h296) =AVERAGE(i289, i290, i291, i292, i293, i294, i295, i296) =AVERAGE(j289, j290, j291, j292, j293, j294, j295, j296) =AVERAGE(k289, k290, k291, k292, k293, k294, k295, k296) =AVERAGE(l289, l290, l291, l292, l293, l294, l295, l296) =AVERAGE(m289, m290, m291, m292, m293, m294, m295, m296) =AVERAGE(n289, n290, n291, n292, n293, n294, n295, n296) =AVERAGE(o289, o290, o291, o292, o293, o294, o295, o296) =AVERAGE(p289, p290, p291, p292, p293, p294, p295, p296) =AVERAGE(q289, q290, q291, q292, q293, q294, q295, q296) =AVERAGE(r289, r290, r291, r292, r293, r294, r295, r296) =AVERAGE(s289, s290, s291, s292, s293, s294, s295, s296) =AVERAGE(t289, t290, t291, t292, t293, t294, t295, t296) =STDEV.P(a289, a290, a291, a292, a293, a294, a295, a296) =STDEV.P(b289, b290, b291, b292, b293, b294, b295, b296) =STDEV.P(c289, c290, c291, c292, c293, c294, c295, c296) =STDEV.P(d289, d290, d291, d292, d293, d294, d295, d296) =STDEV.P(e289, e290, e291, e292, e293, e294, e295, e296) =STDEV.P(f289, f290, f291, f292, f293, f294, f295, f296) =STDEV.P(g289, g290, g291, g292, g293, g294, g295, g296) =STDEV.P(h289, h290, h291, h292, h293, h294, h295, h296) =STDEV.P(i289, i290, i291, i292, i293, i294, i295, i296) =STDEV.P(j289, j290, j291, j292, j293, j294, j295, j296) =STDEV.P(k289, k290, k291, k292, k293, k294, k295, k296) =STDEV.P(l289, l290, l291, l292, l293, l294, l295, l296) =STDEV.P(m289, m290, m291, m292, m293, m294, m295, m296) =STDEV.P(n289, n290, n291, n292, n293, n294, n295, n296) =STDEV.P(o289, o290, o291, o292, o293, o294, o295, o296) =STDEV.P(p289, p290, p291, p292, p293, p294, p295, p296) =STDEV.P(q289, q290, q291, q292, q293, q294, q295, q296) =STDEV.P(r289, r290, r291, r292, r293, r294, r295, r296) =STDEV.P(s289, s290, s291, s292, s293, s294, s295, s296) =STDEV.P(t289, t290, t291, t292, t293, t294, t295, t296) +=AVERAGE(a297, a298, a299, a300, a301, a302, a303, a304) =AVERAGE(b297, b298, b299, b300, b301, b302, b303, b304) =AVERAGE(c297, c298, c299, c300, c301, c302, c303, c304) =AVERAGE(d297, d298, d299, d300, d301, d302, d303, d304) =AVERAGE(e297, e298, e299, e300, e301, e302, e303, e304) =AVERAGE(f297, f298, f299, f300, f301, f302, f303, f304) =AVERAGE(g297, g298, g299, g300, g301, g302, g303, g304) =AVERAGE(h297, h298, h299, h300, h301, h302, h303, h304) =AVERAGE(i297, i298, i299, i300, i301, i302, i303, i304) =AVERAGE(j297, j298, j299, j300, j301, j302, j303, j304) =AVERAGE(k297, k298, k299, k300, k301, k302, k303, k304) =AVERAGE(l297, l298, l299, l300, l301, l302, l303, l304) =AVERAGE(m297, m298, m299, m300, m301, m302, m303, m304) =AVERAGE(n297, n298, n299, n300, n301, n302, n303, n304) =AVERAGE(o297, o298, o299, o300, o301, o302, o303, o304) =AVERAGE(p297, p298, p299, p300, p301, p302, p303, p304) =AVERAGE(q297, q298, q299, q300, q301, q302, q303, q304) =AVERAGE(r297, r298, r299, r300, r301, r302, r303, r304) =AVERAGE(s297, s298, s299, s300, s301, s302, s303, s304) =AVERAGE(t297, t298, t299, t300, t301, t302, t303, t304) =STDEV.P(a297, a298, a299, a300, a301, a302, a303, a304) =STDEV.P(b297, b298, b299, b300, b301, b302, b303, b304) =STDEV.P(c297, c298, c299, c300, c301, c302, c303, c304) =STDEV.P(d297, d298, d299, d300, d301, d302, d303, d304) =STDEV.P(e297, e298, e299, e300, e301, e302, e303, e304) =STDEV.P(f297, f298, f299, f300, f301, f302, f303, f304) =STDEV.P(g297, g298, g299, g300, g301, g302, g303, g304) =STDEV.P(h297, h298, h299, h300, h301, h302, h303, h304) =STDEV.P(i297, i298, i299, i300, i301, i302, i303, i304) =STDEV.P(j297, j298, j299, j300, j301, j302, j303, j304) =STDEV.P(k297, k298, k299, k300, k301, k302, k303, k304) =STDEV.P(l297, l298, l299, l300, l301, l302, l303, l304) =STDEV.P(m297, m298, m299, m300, m301, m302, m303, m304) =STDEV.P(n297, n298, n299, n300, n301, n302, n303, n304) =STDEV.P(o297, o298, o299, o300, o301, o302, o303, o304) =STDEV.P(p297, p298, p299, p300, p301, p302, p303, p304) =STDEV.P(q297, q298, q299, q300, q301, q302, q303, q304) =STDEV.P(r297, r298, r299, r300, r301, r302, r303, r304) =STDEV.P(s297, s298, s299, s300, s301, s302, s303, s304) =STDEV.P(t297, t298, t299, t300, t301, t302, t303, t304) +=AVERAGE(a305, a306, a307, a308, a309, a310, a311, a312) =AVERAGE(b305, b306, b307, b308, b309, b310, b311, b312) =AVERAGE(c305, c306, c307, c308, c309, c310, c311, c312) =AVERAGE(d305, d306, d307, d308, d309, d310, d311, d312) =AVERAGE(e305, e306, e307, e308, e309, e310, e311, e312) =AVERAGE(f305, f306, f307, f308, f309, f310, f311, f312) =AVERAGE(g305, g306, g307, g308, g309, g310, g311, g312) =AVERAGE(h305, h306, h307, h308, h309, h310, h311, h312) =AVERAGE(i305, i306, i307, i308, i309, i310, i311, i312) =AVERAGE(j305, j306, j307, j308, j309, j310, j311, j312) =AVERAGE(k305, k306, k307, k308, k309, k310, k311, k312) =AVERAGE(l305, l306, l307, l308, l309, l310, l311, l312) =AVERAGE(m305, m306, m307, m308, m309, m310, m311, m312) =AVERAGE(n305, n306, n307, n308, n309, n310, n311, n312) =AVERAGE(o305, o306, o307, o308, o309, o310, o311, o312) =AVERAGE(p305, p306, p307, p308, p309, p310, p311, p312) =AVERAGE(q305, q306, q307, q308, q309, q310, q311, q312) =AVERAGE(r305, r306, r307, r308, r309, r310, r311, r312) =AVERAGE(s305, s306, s307, s308, s309, s310, s311, s312) =AVERAGE(t305, t306, t307, t308, t309, t310, t311, t312) =STDEV.P(a305, a306, a307, a308, a309, a310, a311, a312) =STDEV.P(b305, b306, b307, b308, b309, b310, b311, b312) =STDEV.P(c305, c306, c307, c308, c309, c310, c311, c312) =STDEV.P(d305, d306, d307, d308, d309, d310, d311, d312) =STDEV.P(e305, e306, e307, e308, e309, e310, e311, e312) =STDEV.P(f305, f306, f307, f308, f309, f310, f311, f312) =STDEV.P(g305, g306, g307, g308, g309, g310, g311, g312) =STDEV.P(h305, h306, h307, h308, h309, h310, h311, h312) =STDEV.P(i305, i306, i307, i308, i309, i310, i311, i312) =STDEV.P(j305, j306, j307, j308, j309, j310, j311, j312) =STDEV.P(k305, k306, k307, k308, k309, k310, k311, k312) =STDEV.P(l305, l306, l307, l308, l309, l310, l311, l312) =STDEV.P(m305, m306, m307, m308, m309, m310, m311, m312) =STDEV.P(n305, n306, n307, n308, n309, n310, n311, n312) =STDEV.P(o305, o306, o307, o308, o309, o310, o311, o312) =STDEV.P(p305, p306, p307, p308, p309, p310, p311, p312) =STDEV.P(q305, q306, q307, q308, q309, q310, q311, q312) =STDEV.P(r305, r306, r307, r308, r309, r310, r311, r312) =STDEV.P(s305, s306, s307, s308, s309, s310, s311, s312) =STDEV.P(t305, t306, t307, t308, t309, t310, t311, t312) +=AVERAGE(a313, a314, a315, a316, a317, a318, a319, a320) =AVERAGE(b313, b314, b315, b316, b317, b318, b319, b320) =AVERAGE(c313, c314, c315, c316, c317, c318, c319, c320) =AVERAGE(d313, d314, d315, d316, d317, d318, d319, d320) =AVERAGE(e313, e314, e315, e316, e317, e318, e319, e320) =AVERAGE(f313, f314, f315, f316, f317, f318, f319, f320) =AVERAGE(g313, g314, g315, g316, g317, g318, g319, g320) =AVERAGE(h313, h314, h315, h316, h317, h318, h319, h320) =AVERAGE(i313, i314, i315, i316, i317, i318, i319, i320) =AVERAGE(j313, j314, j315, j316, j317, j318, j319, j320) =AVERAGE(k313, k314, k315, k316, k317, k318, k319, k320) =AVERAGE(l313, l314, l315, l316, l317, l318, l319, l320) =AVERAGE(m313, m314, m315, m316, m317, m318, m319, m320) =AVERAGE(n313, n314, n315, n316, n317, n318, n319, n320) =AVERAGE(o313, o314, o315, o316, o317, o318, o319, o320) =AVERAGE(p313, p314, p315, p316, p317, p318, p319, p320) =AVERAGE(q313, q314, q315, q316, q317, q318, q319, q320) =AVERAGE(r313, r314, r315, r316, r317, r318, r319, r320) =AVERAGE(s313, s314, s315, s316, s317, s318, s319, s320) =AVERAGE(t313, t314, t315, t316, t317, t318, t319, t320) =STDEV.P(a313, a314, a315, a316, a317, a318, a319, a320) =STDEV.P(b313, b314, b315, b316, b317, b318, b319, b320) =STDEV.P(c313, c314, c315, c316, c317, c318, c319, c320) =STDEV.P(d313, d314, d315, d316, d317, d318, d319, d320) =STDEV.P(e313, e314, e315, e316, e317, e318, e319, e320) =STDEV.P(f313, f314, f315, f316, f317, f318, f319, f320) =STDEV.P(g313, g314, g315, g316, g317, g318, g319, g320) =STDEV.P(h313, h314, h315, h316, h317, h318, h319, h320) =STDEV.P(i313, i314, i315, i316, i317, i318, i319, i320) =STDEV.P(j313, j314, j315, j316, j317, j318, j319, j320) =STDEV.P(k313, k314, k315, k316, k317, k318, k319, k320) =STDEV.P(l313, l314, l315, l316, l317, l318, l319, l320) =STDEV.P(m313, m314, m315, m316, m317, m318, m319, m320) =STDEV.P(n313, n314, n315, n316, n317, n318, n319, n320) =STDEV.P(o313, o314, o315, o316, o317, o318, o319, o320) =STDEV.P(p313, p314, p315, p316, p317, p318, p319, p320) =STDEV.P(q313, q314, q315, q316, q317, q318, q319, q320) =STDEV.P(r313, r314, r315, r316, r317, r318, r319, r320) =STDEV.P(s313, s314, s315, s316, s317, s318, s319, s320) =STDEV.P(t313, t314, t315, t316, t317, t318, t319, t320) +=AVERAGE(a321, a322, a323, a324, a325, a326, a327) =AVERAGE(b321, b322, b323, b324, b325, b326, b327) =AVERAGE(c321, c322, c323, c324, c325, c326, c327) =AVERAGE(d321, d322, d323, d324, d325, d326, d327) =AVERAGE(e321, e322, e323, e324, e325, e326, e327) =AVERAGE(f321, f322, f323, f324, f325, f326, f327) =AVERAGE(g321, g322, g323, g324, g325, g326, g327) =AVERAGE(h321, h322, h323, h324, h325, h326, h327) =AVERAGE(i321, i322, i323, i324, i325, i326, i327) =AVERAGE(j321, j322, j323, j324, j325, j326, j327) =AVERAGE(k321, k322, k323, k324, k325, k326, k327) =AVERAGE(l321, l322, l323, l324, l325, l326, l327) =AVERAGE(m321, m322, m323, m324, m325, m326, m327) =AVERAGE(n321, n322, n323, n324, n325, n326, n327) =AVERAGE(o321, o322, o323, o324, o325, o326, o327) =AVERAGE(p321, p322, p323, p324, p325, p326, p327) =AVERAGE(q321, q322, q323, q324, q325, q326, q327) =AVERAGE(r321, r322, r323, r324, r325, r326, r327) =AVERAGE(s321, s322, s323, s324, s325, s326, s327) =AVERAGE(t321, t322, t323, t324, t325, t326, t327) =STDEV.P(a321, a322, a323, a324, a325, a326, a327) =STDEV.P(b321, b322, b323, b324, b325, b326, b327) =STDEV.P(c321, c322, c323, c324, c325, c326, c327) =STDEV.P(d321, d322, d323, d324, d325, d326, d327) =STDEV.P(e321, e322, e323, e324, e325, e326, e327) =STDEV.P(f321, f322, f323, f324, f325, f326, f327) =STDEV.P(g321, g322, g323, g324, g325, g326, g327) =STDEV.P(h321, h322, h323, h324, h325, h326, h327) =STDEV.P(i321, i322, i323, i324, i325, i326, i327) =STDEV.P(j321, j322, j323, j324, j325, j326, j327) =STDEV.P(k321, k322, k323, k324, k325, k326, k327) =STDEV.P(l321, l322, l323, l324, l325, l326, l327) =STDEV.P(m321, m322, m323, m324, m325, m326, m327) =STDEV.P(n321, n322, n323, n324, n325, n326, n327) =STDEV.P(o321, o322, o323, o324, o325, o326, o327) =STDEV.P(p321, p322, p323, p324, p325, p326, p327) =STDEV.P(q321, q322, q323, q324, q325, q326, q327) =STDEV.P(r321, r322, r323, r324, r325, r326, r327) =STDEV.P(s321, s322, s323, s324, s325, s326, s327) =STDEV.P(t321, t322, t323, t324, t325, t326, t327) +=AVERAGE(a328, a329, a330, a331, a332, a333, a334) =AVERAGE(b328, b329, b330, b331, b332, b333, b334) =AVERAGE(c328, c329, c330, c331, c332, c333, c334) =AVERAGE(d328, d329, d330, d331, d332, d333, d334) =AVERAGE(e328, e329, e330, e331, e332, e333, e334) =AVERAGE(f328, f329, f330, f331, f332, f333, f334) =AVERAGE(g328, g329, g330, g331, g332, g333, g334) =AVERAGE(h328, h329, h330, h331, h332, h333, h334) =AVERAGE(i328, i329, i330, i331, i332, i333, i334) =AVERAGE(j328, j329, j330, j331, j332, j333, j334) =AVERAGE(k328, k329, k330, k331, k332, k333, k334) =AVERAGE(l328, l329, l330, l331, l332, l333, l334) =AVERAGE(m328, m329, m330, m331, m332, m333, m334) =AVERAGE(n328, n329, n330, n331, n332, n333, n334) =AVERAGE(o328, o329, o330, o331, o332, o333, o334) =AVERAGE(p328, p329, p330, p331, p332, p333, p334) =AVERAGE(q328, q329, q330, q331, q332, q333, q334) =AVERAGE(r328, r329, r330, r331, r332, r333, r334) =AVERAGE(s328, s329, s330, s331, s332, s333, s334) =AVERAGE(t328, t329, t330, t331, t332, t333, t334) =STDEV.P(a328, a329, a330, a331, a332, a333, a334) =STDEV.P(b328, b329, b330, b331, b332, b333, b334) =STDEV.P(c328, c329, c330, c331, c332, c333, c334) =STDEV.P(d328, d329, d330, d331, d332, d333, d334) =STDEV.P(e328, e329, e330, e331, e332, e333, e334) =STDEV.P(f328, f329, f330, f331, f332, f333, f334) =STDEV.P(g328, g329, g330, g331, g332, g333, g334) =STDEV.P(h328, h329, h330, h331, h332, h333, h334) =STDEV.P(i328, i329, i330, i331, i332, i333, i334) =STDEV.P(j328, j329, j330, j331, j332, j333, j334) =STDEV.P(k328, k329, k330, k331, k332, k333, k334) =STDEV.P(l328, l329, l330, l331, l332, l333, l334) =STDEV.P(m328, m329, m330, m331, m332, m333, m334) =STDEV.P(n328, n329, n330, n331, n332, n333, n334) =STDEV.P(o328, o329, o330, o331, o332, o333, o334) =STDEV.P(p328, p329, p330, p331, p332, p333, p334) =STDEV.P(q328, q329, q330, q331, q332, q333, q334) =STDEV.P(r328, r329, r330, r331, r332, r333, r334) =STDEV.P(s328, s329, s330, s331, s332, s333, s334) =STDEV.P(t328, t329, t330, t331, t332, t333, t334) +=AVERAGE(a335, a336, a337, a338, a339, a340, a341) =AVERAGE(b335, b336, b337, b338, b339, b340, b341) =AVERAGE(c335, c336, c337, c338, c339, c340, c341) =AVERAGE(d335, d336, d337, d338, d339, d340, d341) =AVERAGE(e335, e336, e337, e338, e339, e340, e341) =AVERAGE(f335, f336, f337, f338, f339, f340, f341) =AVERAGE(g335, g336, g337, g338, g339, g340, g341) =AVERAGE(h335, h336, h337, h338, h339, h340, h341) =AVERAGE(i335, i336, i337, i338, i339, i340, i341) =AVERAGE(j335, j336, j337, j338, j339, j340, j341) =AVERAGE(k335, k336, k337, k338, k339, k340, k341) =AVERAGE(l335, l336, l337, l338, l339, l340, l341) =AVERAGE(m335, m336, m337, m338, m339, m340, m341) =AVERAGE(n335, n336, n337, n338, n339, n340, n341) =AVERAGE(o335, o336, o337, o338, o339, o340, o341) =AVERAGE(p335, p336, p337, p338, p339, p340, p341) =AVERAGE(q335, q336, q337, q338, q339, q340, q341) =AVERAGE(r335, r336, r337, r338, r339, r340, r341) =AVERAGE(s335, s336, s337, s338, s339, s340, s341) =AVERAGE(t335, t336, t337, t338, t339, t340, t341) =STDEV.P(a335, a336, a337, a338, a339, a340, a341) =STDEV.P(b335, b336, b337, b338, b339, b340, b341) =STDEV.P(c335, c336, c337, c338, c339, c340, c341) =STDEV.P(d335, d336, d337, d338, d339, d340, d341) =STDEV.P(e335, e336, e337, e338, e339, e340, e341) =STDEV.P(f335, f336, f337, f338, f339, f340, f341) =STDEV.P(g335, g336, g337, g338, g339, g340, g341) =STDEV.P(h335, h336, h337, h338, h339, h340, h341) =STDEV.P(i335, i336, i337, i338, i339, i340, i341) =STDEV.P(j335, j336, j337, j338, j339, j340, j341) =STDEV.P(k335, k336, k337, k338, k339, k340, k341) =STDEV.P(l335, l336, l337, l338, l339, l340, l341) =STDEV.P(m335, m336, m337, m338, m339, m340, m341) =STDEV.P(n335, n336, n337, n338, n339, n340, n341) =STDEV.P(o335, o336, o337, o338, o339, o340, o341) =STDEV.P(p335, p336, p337, p338, p339, p340, p341) =STDEV.P(q335, q336, q337, q338, q339, q340, q341) =STDEV.P(r335, r336, r337, r338, r339, r340, r341) =STDEV.P(s335, s336, s337, s338, s339, s340, s341) =STDEV.P(t335, t336, t337, t338, t339, t340, t341) +=AVERAGE(a342, a343, a344, a345, a346, a347, a348) =AVERAGE(b342, b343, b344, b345, b346, b347, b348) =AVERAGE(c342, c343, c344, c345, c346, c347, c348) =AVERAGE(d342, d343, d344, d345, d346, d347, d348) =AVERAGE(e342, e343, e344, e345, e346, e347, e348) =AVERAGE(f342, f343, f344, f345, f346, f347, f348) =AVERAGE(g342, g343, g344, g345, g346, g347, g348) =AVERAGE(h342, h343, h344, h345, h346, h347, h348) =AVERAGE(i342, i343, i344, i345, i346, i347, i348) =AVERAGE(j342, j343, j344, j345, j346, j347, j348) =AVERAGE(k342, k343, k344, k345, k346, k347, k348) =AVERAGE(l342, l343, l344, l345, l346, l347, l348) =AVERAGE(m342, m343, m344, m345, m346, m347, m348) =AVERAGE(n342, n343, n344, n345, n346, n347, n348) =AVERAGE(o342, o343, o344, o345, o346, o347, o348) =AVERAGE(p342, p343, p344, p345, p346, p347, p348) =AVERAGE(q342, q343, q344, q345, q346, q347, q348) =AVERAGE(r342, r343, r344, r345, r346, r347, r348) =AVERAGE(s342, s343, s344, s345, s346, s347, s348) =AVERAGE(t342, t343, t344, t345, t346, t347, t348) =STDEV.P(a342, a343, a344, a345, a346, a347, a348) =STDEV.P(b342, b343, b344, b345, b346, b347, b348) =STDEV.P(c342, c343, c344, c345, c346, c347, c348) =STDEV.P(d342, d343, d344, d345, d346, d347, d348) =STDEV.P(e342, e343, e344, e345, e346, e347, e348) =STDEV.P(f342, f343, f344, f345, f346, f347, f348) =STDEV.P(g342, g343, g344, g345, g346, g347, g348) =STDEV.P(h342, h343, h344, h345, h346, h347, h348) =STDEV.P(i342, i343, i344, i345, i346, i347, i348) =STDEV.P(j342, j343, j344, j345, j346, j347, j348) =STDEV.P(k342, k343, k344, k345, k346, k347, k348) =STDEV.P(l342, l343, l344, l345, l346, l347, l348) =STDEV.P(m342, m343, m344, m345, m346, m347, m348) =STDEV.P(n342, n343, n344, n345, n346, n347, n348) =STDEV.P(o342, o343, o344, o345, o346, o347, o348) =STDEV.P(p342, p343, p344, p345, p346, p347, p348) =STDEV.P(q342, q343, q344, q345, q346, q347, q348) =STDEV.P(r342, r343, r344, r345, r346, r347, r348) =STDEV.P(s342, s343, s344, s345, s346, s347, s348) =STDEV.P(t342, t343, t344, t345, t346, t347, t348) +=AVERAGE(a349, a350, a351, a352, a353, a354, a355) =AVERAGE(b349, b350, b351, b352, b353, b354, b355) =AVERAGE(c349, c350, c351, c352, c353, c354, c355) =AVERAGE(d349, d350, d351, d352, d353, d354, d355) =AVERAGE(e349, e350, e351, e352, e353, e354, e355) =AVERAGE(f349, f350, f351, f352, f353, f354, f355) =AVERAGE(g349, g350, g351, g352, g353, g354, g355) =AVERAGE(h349, h350, h351, h352, h353, h354, h355) =AVERAGE(i349, i350, i351, i352, i353, i354, i355) =AVERAGE(j349, j350, j351, j352, j353, j354, j355) =AVERAGE(k349, k350, k351, k352, k353, k354, k355) =AVERAGE(l349, l350, l351, l352, l353, l354, l355) =AVERAGE(m349, m350, m351, m352, m353, m354, m355) =AVERAGE(n349, n350, n351, n352, n353, n354, n355) =AVERAGE(o349, o350, o351, o352, o353, o354, o355) =AVERAGE(p349, p350, p351, p352, p353, p354, p355) =AVERAGE(q349, q350, q351, q352, q353, q354, q355) =AVERAGE(r349, r350, r351, r352, r353, r354, r355) =AVERAGE(s349, s350, s351, s352, s353, s354, s355) =AVERAGE(t349, t350, t351, t352, t353, t354, t355) =STDEV.P(a349, a350, a351, a352, a353, a354, a355) =STDEV.P(b349, b350, b351, b352, b353, b354, b355) =STDEV.P(c349, c350, c351, c352, c353, c354, c355) =STDEV.P(d349, d350, d351, d352, d353, d354, d355) =STDEV.P(e349, e350, e351, e352, e353, e354, e355) =STDEV.P(f349, f350, f351, f352, f353, f354, f355) =STDEV.P(g349, g350, g351, g352, g353, g354, g355) =STDEV.P(h349, h350, h351, h352, h353, h354, h355) =STDEV.P(i349, i350, i351, i352, i353, i354, i355) =STDEV.P(j349, j350, j351, j352, j353, j354, j355) =STDEV.P(k349, k350, k351, k352, k353, k354, k355) =STDEV.P(l349, l350, l351, l352, l353, l354, l355) =STDEV.P(m349, m350, m351, m352, m353, m354, m355) =STDEV.P(n349, n350, n351, n352, n353, n354, n355) =STDEV.P(o349, o350, o351, o352, o353, o354, o355) =STDEV.P(p349, p350, p351, p352, p353, p354, p355) =STDEV.P(q349, q350, q351, q352, q353, q354, q355) =STDEV.P(r349, r350, r351, r352, r353, r354, r355) =STDEV.P(s349, s350, s351, s352, s353, s354, s355) =STDEV.P(t349, t350, t351, t352, t353, t354, t355) +=AVERAGE(a356, a357, a358, a359, a360, a361, a362) =AVERAGE(b356, b357, b358, b359, b360, b361, b362) =AVERAGE(c356, c357, c358, c359, c360, c361, c362) =AVERAGE(d356, d357, d358, d359, d360, d361, d362) =AVERAGE(e356, e357, e358, e359, e360, e361, e362) =AVERAGE(f356, f357, f358, f359, f360, f361, f362) =AVERAGE(g356, g357, g358, g359, g360, g361, g362) =AVERAGE(h356, h357, h358, h359, h360, h361, h362) =AVERAGE(i356, i357, i358, i359, i360, i361, i362) =AVERAGE(j356, j357, j358, j359, j360, j361, j362) =AVERAGE(k356, k357, k358, k359, k360, k361, k362) =AVERAGE(l356, l357, l358, l359, l360, l361, l362) =AVERAGE(m356, m357, m358, m359, m360, m361, m362) =AVERAGE(n356, n357, n358, n359, n360, n361, n362) =AVERAGE(o356, o357, o358, o359, o360, o361, o362) =AVERAGE(p356, p357, p358, p359, p360, p361, p362) =AVERAGE(q356, q357, q358, q359, q360, q361, q362) =AVERAGE(r356, r357, r358, r359, r360, r361, r362) =AVERAGE(s356, s357, s358, s359, s360, s361, s362) =AVERAGE(t356, t357, t358, t359, t360, t361, t362) =STDEV.P(a356, a357, a358, a359, a360, a361, a362) =STDEV.P(b356, b357, b358, b359, b360, b361, b362) =STDEV.P(c356, c357, c358, c359, c360, c361, c362) =STDEV.P(d356, d357, d358, d359, d360, d361, d362) =STDEV.P(e356, e357, e358, e359, e360, e361, e362) =STDEV.P(f356, f357, f358, f359, f360, f361, f362) =STDEV.P(g356, g357, g358, g359, g360, g361, g362) =STDEV.P(h356, h357, h358, h359, h360, h361, h362) =STDEV.P(i356, i357, i358, i359, i360, i361, i362) =STDEV.P(j356, j357, j358, j359, j360, j361, j362) =STDEV.P(k356, k357, k358, k359, k360, k361, k362) =STDEV.P(l356, l357, l358, l359, l360, l361, l362) =STDEV.P(m356, m357, m358, m359, m360, m361, m362) =STDEV.P(n356, n357, n358, n359, n360, n361, n362) =STDEV.P(o356, o357, o358, o359, o360, o361, o362) =STDEV.P(p356, p357, p358, p359, p360, p361, p362) =STDEV.P(q356, q357, q358, q359, q360, q361, q362) =STDEV.P(r356, r357, r358, r359, r360, r361, r362) =STDEV.P(s356, s357, s358, s359, s360, s361, s362) =STDEV.P(t356, t357, t358, t359, t360, t361, t362) +=AVERAGE(a363, a364, a365, a366, a367, a368, a369) =AVERAGE(b363, b364, b365, b366, b367, b368, b369) =AVERAGE(c363, c364, c365, c366, c367, c368, c369) =AVERAGE(d363, d364, d365, d366, d367, d368, d369) =AVERAGE(e363, e364, e365, e366, e367, e368, e369) =AVERAGE(f363, f364, f365, f366, f367, f368, f369) =AVERAGE(g363, g364, g365, g366, g367, g368, g369) =AVERAGE(h363, h364, h365, h366, h367, h368, h369) =AVERAGE(i363, i364, i365, i366, i367, i368, i369) =AVERAGE(j363, j364, j365, j366, j367, j368, j369) =AVERAGE(k363, k364, k365, k366, k367, k368, k369) =AVERAGE(l363, l364, l365, l366, l367, l368, l369) =AVERAGE(m363, m364, m365, m366, m367, m368, m369) =AVERAGE(n363, n364, n365, n366, n367, n368, n369) =AVERAGE(o363, o364, o365, o366, o367, o368, o369) =AVERAGE(p363, p364, p365, p366, p367, p368, p369) =AVERAGE(q363, q364, q365, q366, q367, q368, q369) =AVERAGE(r363, r364, r365, r366, r367, r368, r369) =AVERAGE(s363, s364, s365, s366, s367, s368, s369) =AVERAGE(t363, t364, t365, t366, t367, t368, t369) =STDEV.P(a363, a364, a365, a366, a367, a368, a369) =STDEV.P(b363, b364, b365, b366, b367, b368, b369) =STDEV.P(c363, c364, c365, c366, c367, c368, c369) =STDEV.P(d363, d364, d365, d366, d367, d368, d369) =STDEV.P(e363, e364, e365, e366, e367, e368, e369) =STDEV.P(f363, f364, f365, f366, f367, f368, f369) =STDEV.P(g363, g364, g365, g366, g367, g368, g369) =STDEV.P(h363, h364, h365, h366, h367, h368, h369) =STDEV.P(i363, i364, i365, i366, i367, i368, i369) =STDEV.P(j363, j364, j365, j366, j367, j368, j369) =STDEV.P(k363, k364, k365, k366, k367, k368, k369) =STDEV.P(l363, l364, l365, l366, l367, l368, l369) =STDEV.P(m363, m364, m365, m366, m367, m368, m369) =STDEV.P(n363, n364, n365, n366, n367, n368, n369) =STDEV.P(o363, o364, o365, o366, o367, o368, o369) =STDEV.P(p363, p364, p365, p366, p367, p368, p369) =STDEV.P(q363, q364, q365, q366, q367, q368, q369) =STDEV.P(r363, r364, r365, r366, r367, r368, r369) =STDEV.P(s363, s364, s365, s366, s367, s368, s369) =STDEV.P(t363, t364, t365, t366, t367, t368, t369) +=AVERAGE(a370, a371, a372, a373, a374, a375, a376) =AVERAGE(b370, b371, b372, b373, b374, b375, b376) =AVERAGE(c370, c371, c372, c373, c374, c375, c376) =AVERAGE(d370, d371, d372, d373, d374, d375, d376) =AVERAGE(e370, e371, e372, e373, e374, e375, e376) =AVERAGE(f370, f371, f372, f373, f374, f375, f376) =AVERAGE(g370, g371, g372, g373, g374, g375, g376) =AVERAGE(h370, h371, h372, h373, h374, h375, h376) =AVERAGE(i370, i371, i372, i373, i374, i375, i376) =AVERAGE(j370, j371, j372, j373, j374, j375, j376) =AVERAGE(k370, k371, k372, k373, k374, k375, k376) =AVERAGE(l370, l371, l372, l373, l374, l375, l376) =AVERAGE(m370, m371, m372, m373, m374, m375, m376) =AVERAGE(n370, n371, n372, n373, n374, n375, n376) =AVERAGE(o370, o371, o372, o373, o374, o375, o376) =AVERAGE(p370, p371, p372, p373, p374, p375, p376) =AVERAGE(q370, q371, q372, q373, q374, q375, q376) =AVERAGE(r370, r371, r372, r373, r374, r375, r376) =AVERAGE(s370, s371, s372, s373, s374, s375, s376) =AVERAGE(t370, t371, t372, t373, t374, t375, t376) =STDEV.P(a370, a371, a372, a373, a374, a375, a376) =STDEV.P(b370, b371, b372, b373, b374, b375, b376) =STDEV.P(c370, c371, c372, c373, c374, c375, c376) =STDEV.P(d370, d371, d372, d373, d374, d375, d376) =STDEV.P(e370, e371, e372, e373, e374, e375, e376) =STDEV.P(f370, f371, f372, f373, f374, f375, f376) =STDEV.P(g370, g371, g372, g373, g374, g375, g376) =STDEV.P(h370, h371, h372, h373, h374, h375, h376) =STDEV.P(i370, i371, i372, i373, i374, i375, i376) =STDEV.P(j370, j371, j372, j373, j374, j375, j376) =STDEV.P(k370, k371, k372, k373, k374, k375, k376) =STDEV.P(l370, l371, l372, l373, l374, l375, l376) =STDEV.P(m370, m371, m372, m373, m374, m375, m376) =STDEV.P(n370, n371, n372, n373, n374, n375, n376) =STDEV.P(o370, o371, o372, o373, o374, o375, o376) =STDEV.P(p370, p371, p372, p373, p374, p375, p376) =STDEV.P(q370, q371, q372, q373, q374, q375, q376) =STDEV.P(r370, r371, r372, r373, r374, r375, r376) =STDEV.P(s370, s371, s372, s373, s374, s375, s376) =STDEV.P(t370, t371, t372, t373, t374, t375, t376) +=AVERAGE(a377, a378, a379, a380, a381, a382, a383) =AVERAGE(b377, b378, b379, b380, b381, b382, b383) =AVERAGE(c377, c378, c379, c380, c381, c382, c383) =AVERAGE(d377, d378, d379, d380, d381, d382, d383) =AVERAGE(e377, e378, e379, e380, e381, e382, e383) =AVERAGE(f377, f378, f379, f380, f381, f382, f383) =AVERAGE(g377, g378, g379, g380, g381, g382, g383) =AVERAGE(h377, h378, h379, h380, h381, h382, h383) =AVERAGE(i377, i378, i379, i380, i381, i382, i383) =AVERAGE(j377, j378, j379, j380, j381, j382, j383) =AVERAGE(k377, k378, k379, k380, k381, k382, k383) =AVERAGE(l377, l378, l379, l380, l381, l382, l383) =AVERAGE(m377, m378, m379, m380, m381, m382, m383) =AVERAGE(n377, n378, n379, n380, n381, n382, n383) =AVERAGE(o377, o378, o379, o380, o381, o382, o383) =AVERAGE(p377, p378, p379, p380, p381, p382, p383) =AVERAGE(q377, q378, q379, q380, q381, q382, q383) =AVERAGE(r377, r378, r379, r380, r381, r382, r383) =AVERAGE(s377, s378, s379, s380, s381, s382, s383) =AVERAGE(t377, t378, t379, t380, t381, t382, t383) =STDEV.P(a377, a378, a379, a380, a381, a382, a383) =STDEV.P(b377, b378, b379, b380, b381, b382, b383) =STDEV.P(c377, c378, c379, c380, c381, c382, c383) =STDEV.P(d377, d378, d379, d380, d381, d382, d383) =STDEV.P(e377, e378, e379, e380, e381, e382, e383) =STDEV.P(f377, f378, f379, f380, f381, f382, f383) =STDEV.P(g377, g378, g379, g380, g381, g382, g383) =STDEV.P(h377, h378, h379, h380, h381, h382, h383) =STDEV.P(i377, i378, i379, i380, i381, i382, i383) =STDEV.P(j377, j378, j379, j380, j381, j382, j383) =STDEV.P(k377, k378, k379, k380, k381, k382, k383) =STDEV.P(l377, l378, l379, l380, l381, l382, l383) =STDEV.P(m377, m378, m379, m380, m381, m382, m383) =STDEV.P(n377, n378, n379, n380, n381, n382, n383) =STDEV.P(o377, o378, o379, o380, o381, o382, o383) =STDEV.P(p377, p378, p379, p380, p381, p382, p383) =STDEV.P(q377, q378, q379, q380, q381, q382, q383) =STDEV.P(r377, r378, r379, r380, r381, r382, r383) =STDEV.P(s377, s378, s379, s380, s381, s382, s383) =STDEV.P(t377, t378, t379, t380, t381, t382, t383) +=AVERAGE(a384, a385, a386, a387, a388, a389, a390) =AVERAGE(b384, b385, b386, b387, b388, b389, b390) =AVERAGE(c384, c385, c386, c387, c388, c389, c390) =AVERAGE(d384, d385, d386, d387, d388, d389, d390) =AVERAGE(e384, e385, e386, e387, e388, e389, e390) =AVERAGE(f384, f385, f386, f387, f388, f389, f390) =AVERAGE(g384, g385, g386, g387, g388, g389, g390) =AVERAGE(h384, h385, h386, h387, h388, h389, h390) =AVERAGE(i384, i385, i386, i387, i388, i389, i390) =AVERAGE(j384, j385, j386, j387, j388, j389, j390) =AVERAGE(k384, k385, k386, k387, k388, k389, k390) =AVERAGE(l384, l385, l386, l387, l388, l389, l390) =AVERAGE(m384, m385, m386, m387, m388, m389, m390) =AVERAGE(n384, n385, n386, n387, n388, n389, n390) =AVERAGE(o384, o385, o386, o387, o388, o389, o390) =AVERAGE(p384, p385, p386, p387, p388, p389, p390) =AVERAGE(q384, q385, q386, q387, q388, q389, q390) =AVERAGE(r384, r385, r386, r387, r388, r389, r390) =AVERAGE(s384, s385, s386, s387, s388, s389, s390) =AVERAGE(t384, t385, t386, t387, t388, t389, t390) =STDEV.P(a384, a385, a386, a387, a388, a389, a390) =STDEV.P(b384, b385, b386, b387, b388, b389, b390) =STDEV.P(c384, c385, c386, c387, c388, c389, c390) =STDEV.P(d384, d385, d386, d387, d388, d389, d390) =STDEV.P(e384, e385, e386, e387, e388, e389, e390) =STDEV.P(f384, f385, f386, f387, f388, f389, f390) =STDEV.P(g384, g385, g386, g387, g388, g389, g390) =STDEV.P(h384, h385, h386, h387, h388, h389, h390) =STDEV.P(i384, i385, i386, i387, i388, i389, i390) =STDEV.P(j384, j385, j386, j387, j388, j389, j390) =STDEV.P(k384, k385, k386, k387, k388, k389, k390) =STDEV.P(l384, l385, l386, l387, l388, l389, l390) =STDEV.P(m384, m385, m386, m387, m388, m389, m390) =STDEV.P(n384, n385, n386, n387, n388, n389, n390) =STDEV.P(o384, o385, o386, o387, o388, o389, o390) =STDEV.P(p384, p385, p386, p387, p388, p389, p390) =STDEV.P(q384, q385, q386, q387, q388, q389, q390) =STDEV.P(r384, r385, r386, r387, r388, r389, r390) =STDEV.P(s384, s385, s386, s387, s388, s389, s390) =STDEV.P(t384, t385, t386, t387, t388, t389, t390) +=AVERAGE(a391, a392, a393, a394, a395, a396, a397) =AVERAGE(b391, b392, b393, b394, b395, b396, b397) =AVERAGE(c391, c392, c393, c394, c395, c396, c397) =AVERAGE(d391, d392, d393, d394, d395, d396, d397) =AVERAGE(e391, e392, e393, e394, e395, e396, e397) =AVERAGE(f391, f392, f393, f394, f395, f396, f397) =AVERAGE(g391, g392, g393, g394, g395, g396, g397) =AVERAGE(h391, h392, h393, h394, h395, h396, h397) =AVERAGE(i391, i392, i393, i394, i395, i396, i397) =AVERAGE(j391, j392, j393, j394, j395, j396, j397) =AVERAGE(k391, k392, k393, k394, k395, k396, k397) =AVERAGE(l391, l392, l393, l394, l395, l396, l397) =AVERAGE(m391, m392, m393, m394, m395, m396, m397) =AVERAGE(n391, n392, n393, n394, n395, n396, n397) =AVERAGE(o391, o392, o393, o394, o395, o396, o397) =AVERAGE(p391, p392, p393, p394, p395, p396, p397) =AVERAGE(q391, q392, q393, q394, q395, q396, q397) =AVERAGE(r391, r392, r393, r394, r395, r396, r397) =AVERAGE(s391, s392, s393, s394, s395, s396, s397) =AVERAGE(t391, t392, t393, t394, t395, t396, t397) =STDEV.P(a391, a392, a393, a394, a395, a396, a397) =STDEV.P(b391, b392, b393, b394, b395, b396, b397) =STDEV.P(c391, c392, c393, c394, c395, c396, c397) =STDEV.P(d391, d392, d393, d394, d395, d396, d397) =STDEV.P(e391, e392, e393, e394, e395, e396, e397) =STDEV.P(f391, f392, f393, f394, f395, f396, f397) =STDEV.P(g391, g392, g393, g394, g395, g396, g397) =STDEV.P(h391, h392, h393, h394, h395, h396, h397) =STDEV.P(i391, i392, i393, i394, i395, i396, i397) =STDEV.P(j391, j392, j393, j394, j395, j396, j397) =STDEV.P(k391, k392, k393, k394, k395, k396, k397) =STDEV.P(l391, l392, l393, l394, l395, l396, l397) =STDEV.P(m391, m392, m393, m394, m395, m396, m397) =STDEV.P(n391, n392, n393, n394, n395, n396, n397) =STDEV.P(o391, o392, o393, o394, o395, o396, o397) =STDEV.P(p391, p392, p393, p394, p395, p396, p397) =STDEV.P(q391, q392, q393, q394, q395, q396, q397) =STDEV.P(r391, r392, r393, r394, r395, r396, r397) =STDEV.P(s391, s392, s393, s394, s395, s396, s397) =STDEV.P(t391, t392, t393, t394, t395, t396, t397) +=AVERAGE(a398, a399, a400, a401, a402, a403, a404) =AVERAGE(b398, b399, b400, b401, b402, b403, b404) =AVERAGE(c398, c399, c400, c401, c402, c403, c404) =AVERAGE(d398, d399, d400, d401, d402, d403, d404) =AVERAGE(e398, e399, e400, e401, e402, e403, e404) =AVERAGE(f398, f399, f400, f401, f402, f403, f404) =AVERAGE(g398, g399, g400, g401, g402, g403, g404) =AVERAGE(h398, h399, h400, h401, h402, h403, h404) =AVERAGE(i398, i399, i400, i401, i402, i403, i404) =AVERAGE(j398, j399, j400, j401, j402, j403, j404) =AVERAGE(k398, k399, k400, k401, k402, k403, k404) =AVERAGE(l398, l399, l400, l401, l402, l403, l404) =AVERAGE(m398, m399, m400, m401, m402, m403, m404) =AVERAGE(n398, n399, n400, n401, n402, n403, n404) =AVERAGE(o398, o399, o400, o401, o402, o403, o404) =AVERAGE(p398, p399, p400, p401, p402, p403, p404) =AVERAGE(q398, q399, q400, q401, q402, q403, q404) =AVERAGE(r398, r399, r400, r401, r402, r403, r404) =AVERAGE(s398, s399, s400, s401, s402, s403, s404) =AVERAGE(t398, t399, t400, t401, t402, t403, t404) =STDEV.P(a398, a399, a400, a401, a402, a403, a404) =STDEV.P(b398, b399, b400, b401, b402, b403, b404) =STDEV.P(c398, c399, c400, c401, c402, c403, c404) =STDEV.P(d398, d399, d400, d401, d402, d403, d404) =STDEV.P(e398, e399, e400, e401, e402, e403, e404) =STDEV.P(f398, f399, f400, f401, f402, f403, f404) =STDEV.P(g398, g399, g400, g401, g402, g403, g404) =STDEV.P(h398, h399, h400, h401, h402, h403, h404) =STDEV.P(i398, i399, i400, i401, i402, i403, i404) =STDEV.P(j398, j399, j400, j401, j402, j403, j404) =STDEV.P(k398, k399, k400, k401, k402, k403, k404) =STDEV.P(l398, l399, l400, l401, l402, l403, l404) =STDEV.P(m398, m399, m400, m401, m402, m403, m404) =STDEV.P(n398, n399, n400, n401, n402, n403, n404) =STDEV.P(o398, o399, o400, o401, o402, o403, o404) =STDEV.P(p398, p399, p400, p401, p402, p403, p404) =STDEV.P(q398, q399, q400, q401, q402, q403, q404) =STDEV.P(r398, r399, r400, r401, r402, r403, r404) =STDEV.P(s398, s399, s400, s401, s402, s403, s404) =STDEV.P(t398, t399, t400, t401, t402, t403, t404) +=AVERAGE(a405, a406, a407, a408, a409, a410, a411) =AVERAGE(b405, b406, b407, b408, b409, b410, b411) =AVERAGE(c405, c406, c407, c408, c409, c410, c411) =AVERAGE(d405, d406, d407, d408, d409, d410, d411) =AVERAGE(e405, e406, e407, e408, e409, e410, e411) =AVERAGE(f405, f406, f407, f408, f409, f410, f411) =AVERAGE(g405, g406, g407, g408, g409, g410, g411) =AVERAGE(h405, h406, h407, h408, h409, h410, h411) =AVERAGE(i405, i406, i407, i408, i409, i410, i411) =AVERAGE(j405, j406, j407, j408, j409, j410, j411) =AVERAGE(k405, k406, k407, k408, k409, k410, k411) =AVERAGE(l405, l406, l407, l408, l409, l410, l411) =AVERAGE(m405, m406, m407, m408, m409, m410, m411) =AVERAGE(n405, n406, n407, n408, n409, n410, n411) =AVERAGE(o405, o406, o407, o408, o409, o410, o411) =AVERAGE(p405, p406, p407, p408, p409, p410, p411) =AVERAGE(q405, q406, q407, q408, q409, q410, q411) =AVERAGE(r405, r406, r407, r408, r409, r410, r411) =AVERAGE(s405, s406, s407, s408, s409, s410, s411) =AVERAGE(t405, t406, t407, t408, t409, t410, t411) =STDEV.P(a405, a406, a407, a408, a409, a410, a411) =STDEV.P(b405, b406, b407, b408, b409, b410, b411) =STDEV.P(c405, c406, c407, c408, c409, c410, c411) =STDEV.P(d405, d406, d407, d408, d409, d410, d411) =STDEV.P(e405, e406, e407, e408, e409, e410, e411) =STDEV.P(f405, f406, f407, f408, f409, f410, f411) =STDEV.P(g405, g406, g407, g408, g409, g410, g411) =STDEV.P(h405, h406, h407, h408, h409, h410, h411) =STDEV.P(i405, i406, i407, i408, i409, i410, i411) =STDEV.P(j405, j406, j407, j408, j409, j410, j411) =STDEV.P(k405, k406, k407, k408, k409, k410, k411) =STDEV.P(l405, l406, l407, l408, l409, l410, l411) =STDEV.P(m405, m406, m407, m408, m409, m410, m411) =STDEV.P(n405, n406, n407, n408, n409, n410, n411) =STDEV.P(o405, o406, o407, o408, o409, o410, o411) =STDEV.P(p405, p406, p407, p408, p409, p410, p411) =STDEV.P(q405, q406, q407, q408, q409, q410, q411) =STDEV.P(r405, r406, r407, r408, r409, r410, r411) =STDEV.P(s405, s406, s407, s408, s409, s410, s411) =STDEV.P(t405, t406, t407, t408, t409, t410, t411) +=AVERAGE(a412, a413, a414, a415, a416, a417, a418) =AVERAGE(b412, b413, b414, b415, b416, b417, b418) =AVERAGE(c412, c413, c414, c415, c416, c417, c418) =AVERAGE(d412, d413, d414, d415, d416, d417, d418) =AVERAGE(e412, e413, e414, e415, e416, e417, e418) =AVERAGE(f412, f413, f414, f415, f416, f417, f418) =AVERAGE(g412, g413, g414, g415, g416, g417, g418) =AVERAGE(h412, h413, h414, h415, h416, h417, h418) =AVERAGE(i412, i413, i414, i415, i416, i417, i418) =AVERAGE(j412, j413, j414, j415, j416, j417, j418) =AVERAGE(k412, k413, k414, k415, k416, k417, k418) =AVERAGE(l412, l413, l414, l415, l416, l417, l418) =AVERAGE(m412, m413, m414, m415, m416, m417, m418) =AVERAGE(n412, n413, n414, n415, n416, n417, n418) =AVERAGE(o412, o413, o414, o415, o416, o417, o418) =AVERAGE(p412, p413, p414, p415, p416, p417, p418) =AVERAGE(q412, q413, q414, q415, q416, q417, q418) =AVERAGE(r412, r413, r414, r415, r416, r417, r418) =AVERAGE(s412, s413, s414, s415, s416, s417, s418) =AVERAGE(t412, t413, t414, t415, t416, t417, t418) =STDEV.P(a412, a413, a414, a415, a416, a417, a418) =STDEV.P(b412, b413, b414, b415, b416, b417, b418) =STDEV.P(c412, c413, c414, c415, c416, c417, c418) =STDEV.P(d412, d413, d414, d415, d416, d417, d418) =STDEV.P(e412, e413, e414, e415, e416, e417, e418) =STDEV.P(f412, f413, f414, f415, f416, f417, f418) =STDEV.P(g412, g413, g414, g415, g416, g417, g418) =STDEV.P(h412, h413, h414, h415, h416, h417, h418) =STDEV.P(i412, i413, i414, i415, i416, i417, i418) =STDEV.P(j412, j413, j414, j415, j416, j417, j418) =STDEV.P(k412, k413, k414, k415, k416, k417, k418) =STDEV.P(l412, l413, l414, l415, l416, l417, l418) =STDEV.P(m412, m413, m414, m415, m416, m417, m418) =STDEV.P(n412, n413, n414, n415, n416, n417, n418) =STDEV.P(o412, o413, o414, o415, o416, o417, o418) =STDEV.P(p412, p413, p414, p415, p416, p417, p418) =STDEV.P(q412, q413, q414, q415, q416, q417, q418) =STDEV.P(r412, r413, r414, r415, r416, r417, r418) =STDEV.P(s412, s413, s414, s415, s416, s417, s418) =STDEV.P(t412, t413, t414, t415, t416, t417, t418) +=AVERAGE(a419, a420, a421, a422, a423, a424, a425) =AVERAGE(b419, b420, b421, b422, b423, b424, b425) =AVERAGE(c419, c420, c421, c422, c423, c424, c425) =AVERAGE(d419, d420, d421, d422, d423, d424, d425) =AVERAGE(e419, e420, e421, e422, e423, e424, e425) =AVERAGE(f419, f420, f421, f422, f423, f424, f425) =AVERAGE(g419, g420, g421, g422, g423, g424, g425) =AVERAGE(h419, h420, h421, h422, h423, h424, h425) =AVERAGE(i419, i420, i421, i422, i423, i424, i425) =AVERAGE(j419, j420, j421, j422, j423, j424, j425) =AVERAGE(k419, k420, k421, k422, k423, k424, k425) =AVERAGE(l419, l420, l421, l422, l423, l424, l425) =AVERAGE(m419, m420, m421, m422, m423, m424, m425) =AVERAGE(n419, n420, n421, n422, n423, n424, n425) =AVERAGE(o419, o420, o421, o422, o423, o424, o425) =AVERAGE(p419, p420, p421, p422, p423, p424, p425) =AVERAGE(q419, q420, q421, q422, q423, q424, q425) =AVERAGE(r419, r420, r421, r422, r423, r424, r425) =AVERAGE(s419, s420, s421, s422, s423, s424, s425) =AVERAGE(t419, t420, t421, t422, t423, t424, t425) =STDEV.P(a419, a420, a421, a422, a423, a424, a425) =STDEV.P(b419, b420, b421, b422, b423, b424, b425) =STDEV.P(c419, c420, c421, c422, c423, c424, c425) =STDEV.P(d419, d420, d421, d422, d423, d424, d425) =STDEV.P(e419, e420, e421, e422, e423, e424, e425) =STDEV.P(f419, f420, f421, f422, f423, f424, f425) =STDEV.P(g419, g420, g421, g422, g423, g424, g425) =STDEV.P(h419, h420, h421, h422, h423, h424, h425) =STDEV.P(i419, i420, i421, i422, i423, i424, i425) =STDEV.P(j419, j420, j421, j422, j423, j424, j425) =STDEV.P(k419, k420, k421, k422, k423, k424, k425) =STDEV.P(l419, l420, l421, l422, l423, l424, l425) =STDEV.P(m419, m420, m421, m422, m423, m424, m425) =STDEV.P(n419, n420, n421, n422, n423, n424, n425) =STDEV.P(o419, o420, o421, o422, o423, o424, o425) =STDEV.P(p419, p420, p421, p422, p423, p424, p425) =STDEV.P(q419, q420, q421, q422, q423, q424, q425) =STDEV.P(r419, r420, r421, r422, r423, r424, r425) =STDEV.P(s419, s420, s421, s422, s423, s424, s425) =STDEV.P(t419, t420, t421, t422, t423, t424, t425) +=AVERAGE(a426, a427, a428, a429, a430, a431, a432) =AVERAGE(b426, b427, b428, b429, b430, b431, b432) =AVERAGE(c426, c427, c428, c429, c430, c431, c432) =AVERAGE(d426, d427, d428, d429, d430, d431, d432) =AVERAGE(e426, e427, e428, e429, e430, e431, e432) =AVERAGE(f426, f427, f428, f429, f430, f431, f432) =AVERAGE(g426, g427, g428, g429, g430, g431, g432) =AVERAGE(h426, h427, h428, h429, h430, h431, h432) =AVERAGE(i426, i427, i428, i429, i430, i431, i432) =AVERAGE(j426, j427, j428, j429, j430, j431, j432) =AVERAGE(k426, k427, k428, k429, k430, k431, k432) =AVERAGE(l426, l427, l428, l429, l430, l431, l432) =AVERAGE(m426, m427, m428, m429, m430, m431, m432) =AVERAGE(n426, n427, n428, n429, n430, n431, n432) =AVERAGE(o426, o427, o428, o429, o430, o431, o432) =AVERAGE(p426, p427, p428, p429, p430, p431, p432) =AVERAGE(q426, q427, q428, q429, q430, q431, q432) =AVERAGE(r426, r427, r428, r429, r430, r431, r432) =AVERAGE(s426, s427, s428, s429, s430, s431, s432) =AVERAGE(t426, t427, t428, t429, t430, t431, t432) =STDEV.P(a426, a427, a428, a429, a430, a431, a432) =STDEV.P(b426, b427, b428, b429, b430, b431, b432) =STDEV.P(c426, c427, c428, c429, c430, c431, c432) =STDEV.P(d426, d427, d428, d429, d430, d431, d432) =STDEV.P(e426, e427, e428, e429, e430, e431, e432) =STDEV.P(f426, f427, f428, f429, f430, f431, f432) =STDEV.P(g426, g427, g428, g429, g430, g431, g432) =STDEV.P(h426, h427, h428, h429, h430, h431, h432) =STDEV.P(i426, i427, i428, i429, i430, i431, i432) =STDEV.P(j426, j427, j428, j429, j430, j431, j432) =STDEV.P(k426, k427, k428, k429, k430, k431, k432) =STDEV.P(l426, l427, l428, l429, l430, l431, l432) =STDEV.P(m426, m427, m428, m429, m430, m431, m432) =STDEV.P(n426, n427, n428, n429, n430, n431, n432) =STDEV.P(o426, o427, o428, o429, o430, o431, o432) =STDEV.P(p426, p427, p428, p429, p430, p431, p432) =STDEV.P(q426, q427, q428, q429, q430, q431, q432) =STDEV.P(r426, r427, r428, r429, r430, r431, r432) =STDEV.P(s426, s427, s428, s429, s430, s431, s432) =STDEV.P(t426, t427, t428, t429, t430, t431, t432) +=AVERAGE(a433, a434, a435, a436, a437, a438, a439) =AVERAGE(b433, b434, b435, b436, b437, b438, b439) =AVERAGE(c433, c434, c435, c436, c437, c438, c439) =AVERAGE(d433, d434, d435, d436, d437, d438, d439) =AVERAGE(e433, e434, e435, e436, e437, e438, e439) =AVERAGE(f433, f434, f435, f436, f437, f438, f439) =AVERAGE(g433, g434, g435, g436, g437, g438, g439) =AVERAGE(h433, h434, h435, h436, h437, h438, h439) =AVERAGE(i433, i434, i435, i436, i437, i438, i439) =AVERAGE(j433, j434, j435, j436, j437, j438, j439) =AVERAGE(k433, k434, k435, k436, k437, k438, k439) =AVERAGE(l433, l434, l435, l436, l437, l438, l439) =AVERAGE(m433, m434, m435, m436, m437, m438, m439) =AVERAGE(n433, n434, n435, n436, n437, n438, n439) =AVERAGE(o433, o434, o435, o436, o437, o438, o439) =AVERAGE(p433, p434, p435, p436, p437, p438, p439) =AVERAGE(q433, q434, q435, q436, q437, q438, q439) =AVERAGE(r433, r434, r435, r436, r437, r438, r439) =AVERAGE(s433, s434, s435, s436, s437, s438, s439) =AVERAGE(t433, t434, t435, t436, t437, t438, t439) =STDEV.P(a433, a434, a435, a436, a437, a438, a439) =STDEV.P(b433, b434, b435, b436, b437, b438, b439) =STDEV.P(c433, c434, c435, c436, c437, c438, c439) =STDEV.P(d433, d434, d435, d436, d437, d438, d439) =STDEV.P(e433, e434, e435, e436, e437, e438, e439) =STDEV.P(f433, f434, f435, f436, f437, f438, f439) =STDEV.P(g433, g434, g435, g436, g437, g438, g439) =STDEV.P(h433, h434, h435, h436, h437, h438, h439) =STDEV.P(i433, i434, i435, i436, i437, i438, i439) =STDEV.P(j433, j434, j435, j436, j437, j438, j439) =STDEV.P(k433, k434, k435, k436, k437, k438, k439) =STDEV.P(l433, l434, l435, l436, l437, l438, l439) =STDEV.P(m433, m434, m435, m436, m437, m438, m439) =STDEV.P(n433, n434, n435, n436, n437, n438, n439) =STDEV.P(o433, o434, o435, o436, o437, o438, o439) =STDEV.P(p433, p434, p435, p436, p437, p438, p439) =STDEV.P(q433, q434, q435, q436, q437, q438, q439) =STDEV.P(r433, r434, r435, r436, r437, r438, r439) =STDEV.P(s433, s434, s435, s436, s437, s438, s439) =STDEV.P(t433, t434, t435, t436, t437, t438, t439) +=AVERAGE(a440, a441, a442, a443, a444, a445, a446) =AVERAGE(b440, b441, b442, b443, b444, b445, b446) =AVERAGE(c440, c441, c442, c443, c444, c445, c446) =AVERAGE(d440, d441, d442, d443, d444, d445, d446) =AVERAGE(e440, e441, e442, e443, e444, e445, e446) =AVERAGE(f440, f441, f442, f443, f444, f445, f446) =AVERAGE(g440, g441, g442, g443, g444, g445, g446) =AVERAGE(h440, h441, h442, h443, h444, h445, h446) =AVERAGE(i440, i441, i442, i443, i444, i445, i446) =AVERAGE(j440, j441, j442, j443, j444, j445, j446) =AVERAGE(k440, k441, k442, k443, k444, k445, k446) =AVERAGE(l440, l441, l442, l443, l444, l445, l446) =AVERAGE(m440, m441, m442, m443, m444, m445, m446) =AVERAGE(n440, n441, n442, n443, n444, n445, n446) =AVERAGE(o440, o441, o442, o443, o444, o445, o446) =AVERAGE(p440, p441, p442, p443, p444, p445, p446) =AVERAGE(q440, q441, q442, q443, q444, q445, q446) =AVERAGE(r440, r441, r442, r443, r444, r445, r446) =AVERAGE(s440, s441, s442, s443, s444, s445, s446) =AVERAGE(t440, t441, t442, t443, t444, t445, t446) =STDEV.P(a440, a441, a442, a443, a444, a445, a446) =STDEV.P(b440, b441, b442, b443, b444, b445, b446) =STDEV.P(c440, c441, c442, c443, c444, c445, c446) =STDEV.P(d440, d441, d442, d443, d444, d445, d446) =STDEV.P(e440, e441, e442, e443, e444, e445, e446) =STDEV.P(f440, f441, f442, f443, f444, f445, f446) =STDEV.P(g440, g441, g442, g443, g444, g445, g446) =STDEV.P(h440, h441, h442, h443, h444, h445, h446) =STDEV.P(i440, i441, i442, i443, i444, i445, i446) =STDEV.P(j440, j441, j442, j443, j444, j445, j446) =STDEV.P(k440, k441, k442, k443, k444, k445, k446) =STDEV.P(l440, l441, l442, l443, l444, l445, l446) =STDEV.P(m440, m441, m442, m443, m444, m445, m446) =STDEV.P(n440, n441, n442, n443, n444, n445, n446) =STDEV.P(o440, o441, o442, o443, o444, o445, o446) =STDEV.P(p440, p441, p442, p443, p444, p445, p446) =STDEV.P(q440, q441, q442, q443, q444, q445, q446) =STDEV.P(r440, r441, r442, r443, r444, r445, r446) =STDEV.P(s440, s441, s442, s443, s444, s445, s446) =STDEV.P(t440, t441, t442, t443, t444, t445, t446) +=AVERAGE(a447, a448, a449, a450, a451, a452) =AVERAGE(b447, b448, b449, b450, b451, b452) =AVERAGE(c447, c448, c449, c450, c451, c452) =AVERAGE(d447, d448, d449, d450, d451, d452) =AVERAGE(e447, e448, e449, e450, e451, e452) =AVERAGE(f447, f448, f449, f450, f451, f452) =AVERAGE(g447, g448, g449, g450, g451, g452) =AVERAGE(h447, h448, h449, h450, h451, h452) =AVERAGE(i447, i448, i449, i450, i451, i452) =AVERAGE(j447, j448, j449, j450, j451, j452) =AVERAGE(k447, k448, k449, k450, k451, k452) =AVERAGE(l447, l448, l449, l450, l451, l452) =AVERAGE(m447, m448, m449, m450, m451, m452) =AVERAGE(n447, n448, n449, n450, n451, n452) =AVERAGE(o447, o448, o449, o450, o451, o452) =AVERAGE(p447, p448, p449, p450, p451, p452) =AVERAGE(q447, q448, q449, q450, q451, q452) =AVERAGE(r447, r448, r449, r450, r451, r452) =AVERAGE(s447, s448, s449, s450, s451, s452) =AVERAGE(t447, t448, t449, t450, t451, t452) =STDEV.P(a447, a448, a449, a450, a451, a452) =STDEV.P(b447, b448, b449, b450, b451, b452) =STDEV.P(c447, c448, c449, c450, c451, c452) =STDEV.P(d447, d448, d449, d450, d451, d452) =STDEV.P(e447, e448, e449, e450, e451, e452) =STDEV.P(f447, f448, f449, f450, f451, f452) =STDEV.P(g447, g448, g449, g450, g451, g452) =STDEV.P(h447, h448, h449, h450, h451, h452) =STDEV.P(i447, i448, i449, i450, i451, i452) =STDEV.P(j447, j448, j449, j450, j451, j452) =STDEV.P(k447, k448, k449, k450, k451, k452) =STDEV.P(l447, l448, l449, l450, l451, l452) =STDEV.P(m447, m448, m449, m450, m451, m452) =STDEV.P(n447, n448, n449, n450, n451, n452) =STDEV.P(o447, o448, o449, o450, o451, o452) =STDEV.P(p447, p448, p449, p450, p451, p452) =STDEV.P(q447, q448, q449, q450, q451, q452) =STDEV.P(r447, r448, r449, r450, r451, r452) =STDEV.P(s447, s448, s449, s450, s451, s452) =STDEV.P(t447, t448, t449, t450, t451, t452) +=AVERAGE(a453, a454, a455, a456, a457, a458) =AVERAGE(b453, b454, b455, b456, b457, b458) =AVERAGE(c453, c454, c455, c456, c457, c458) =AVERAGE(d453, d454, d455, d456, d457, d458) =AVERAGE(e453, e454, e455, e456, e457, e458) =AVERAGE(f453, f454, f455, f456, f457, f458) =AVERAGE(g453, g454, g455, g456, g457, g458) =AVERAGE(h453, h454, h455, h456, h457, h458) =AVERAGE(i453, i454, i455, i456, i457, i458) =AVERAGE(j453, j454, j455, j456, j457, j458) =AVERAGE(k453, k454, k455, k456, k457, k458) =AVERAGE(l453, l454, l455, l456, l457, l458) =AVERAGE(m453, m454, m455, m456, m457, m458) =AVERAGE(n453, n454, n455, n456, n457, n458) =AVERAGE(o453, o454, o455, o456, o457, o458) =AVERAGE(p453, p454, p455, p456, p457, p458) =AVERAGE(q453, q454, q455, q456, q457, q458) =AVERAGE(r453, r454, r455, r456, r457, r458) =AVERAGE(s453, s454, s455, s456, s457, s458) =AVERAGE(t453, t454, t455, t456, t457, t458) =STDEV.P(a453, a454, a455, a456, a457, a458) =STDEV.P(b453, b454, b455, b456, b457, b458) =STDEV.P(c453, c454, c455, c456, c457, c458) =STDEV.P(d453, d454, d455, d456, d457, d458) =STDEV.P(e453, e454, e455, e456, e457, e458) =STDEV.P(f453, f454, f455, f456, f457, f458) =STDEV.P(g453, g454, g455, g456, g457, g458) =STDEV.P(h453, h454, h455, h456, h457, h458) =STDEV.P(i453, i454, i455, i456, i457, i458) =STDEV.P(j453, j454, j455, j456, j457, j458) =STDEV.P(k453, k454, k455, k456, k457, k458) =STDEV.P(l453, l454, l455, l456, l457, l458) =STDEV.P(m453, m454, m455, m456, m457, m458) =STDEV.P(n453, n454, n455, n456, n457, n458) =STDEV.P(o453, o454, o455, o456, o457, o458) =STDEV.P(p453, p454, p455, p456, p457, p458) =STDEV.P(q453, q454, q455, q456, q457, q458) =STDEV.P(r453, r454, r455, r456, r457, r458) =STDEV.P(s453, s454, s455, s456, s457, s458) =STDEV.P(t453, t454, t455, t456, t457, t458) +=AVERAGE(a459, a460, a461, a462, a463, a464) =AVERAGE(b459, b460, b461, b462, b463, b464) =AVERAGE(c459, c460, c461, c462, c463, c464) =AVERAGE(d459, d460, d461, d462, d463, d464) =AVERAGE(e459, e460, e461, e462, e463, e464) =AVERAGE(f459, f460, f461, f462, f463, f464) =AVERAGE(g459, g460, g461, g462, g463, g464) =AVERAGE(h459, h460, h461, h462, h463, h464) =AVERAGE(i459, i460, i461, i462, i463, i464) =AVERAGE(j459, j460, j461, j462, j463, j464) =AVERAGE(k459, k460, k461, k462, k463, k464) =AVERAGE(l459, l460, l461, l462, l463, l464) =AVERAGE(m459, m460, m461, m462, m463, m464) =AVERAGE(n459, n460, n461, n462, n463, n464) =AVERAGE(o459, o460, o461, o462, o463, o464) =AVERAGE(p459, p460, p461, p462, p463, p464) =AVERAGE(q459, q460, q461, q462, q463, q464) =AVERAGE(r459, r460, r461, r462, r463, r464) =AVERAGE(s459, s460, s461, s462, s463, s464) =AVERAGE(t459, t460, t461, t462, t463, t464) =STDEV.P(a459, a460, a461, a462, a463, a464) =STDEV.P(b459, b460, b461, b462, b463, b464) =STDEV.P(c459, c460, c461, c462, c463, c464) =STDEV.P(d459, d460, d461, d462, d463, d464) =STDEV.P(e459, e460, e461, e462, e463, e464) =STDEV.P(f459, f460, f461, f462, f463, f464) =STDEV.P(g459, g460, g461, g462, g463, g464) =STDEV.P(h459, h460, h461, h462, h463, h464) =STDEV.P(i459, i460, i461, i462, i463, i464) =STDEV.P(j459, j460, j461, j462, j463, j464) =STDEV.P(k459, k460, k461, k462, k463, k464) =STDEV.P(l459, l460, l461, l462, l463, l464) =STDEV.P(m459, m460, m461, m462, m463, m464) =STDEV.P(n459, n460, n461, n462, n463, n464) =STDEV.P(o459, o460, o461, o462, o463, o464) =STDEV.P(p459, p460, p461, p462, p463, p464) =STDEV.P(q459, q460, q461, q462, q463, q464) =STDEV.P(r459, r460, r461, r462, r463, r464) =STDEV.P(s459, s460, s461, s462, s463, s464) =STDEV.P(t459, t460, t461, t462, t463, t464) +=AVERAGE(a465, a466, a467, a468, a469, a470) =AVERAGE(b465, b466, b467, b468, b469, b470) =AVERAGE(c465, c466, c467, c468, c469, c470) =AVERAGE(d465, d466, d467, d468, d469, d470) =AVERAGE(e465, e466, e467, e468, e469, e470) =AVERAGE(f465, f466, f467, f468, f469, f470) =AVERAGE(g465, g466, g467, g468, g469, g470) =AVERAGE(h465, h466, h467, h468, h469, h470) =AVERAGE(i465, i466, i467, i468, i469, i470) =AVERAGE(j465, j466, j467, j468, j469, j470) =AVERAGE(k465, k466, k467, k468, k469, k470) =AVERAGE(l465, l466, l467, l468, l469, l470) =AVERAGE(m465, m466, m467, m468, m469, m470) =AVERAGE(n465, n466, n467, n468, n469, n470) =AVERAGE(o465, o466, o467, o468, o469, o470) =AVERAGE(p465, p466, p467, p468, p469, p470) =AVERAGE(q465, q466, q467, q468, q469, q470) =AVERAGE(r465, r466, r467, r468, r469, r470) =AVERAGE(s465, s466, s467, s468, s469, s470) =AVERAGE(t465, t466, t467, t468, t469, t470) =STDEV.P(a465, a466, a467, a468, a469, a470) =STDEV.P(b465, b466, b467, b468, b469, b470) =STDEV.P(c465, c466, c467, c468, c469, c470) =STDEV.P(d465, d466, d467, d468, d469, d470) =STDEV.P(e465, e466, e467, e468, e469, e470) =STDEV.P(f465, f466, f467, f468, f469, f470) =STDEV.P(g465, g466, g467, g468, g469, g470) =STDEV.P(h465, h466, h467, h468, h469, h470) =STDEV.P(i465, i466, i467, i468, i469, i470) =STDEV.P(j465, j466, j467, j468, j469, j470) =STDEV.P(k465, k466, k467, k468, k469, k470) =STDEV.P(l465, l466, l467, l468, l469, l470) =STDEV.P(m465, m466, m467, m468, m469, m470) =STDEV.P(n465, n466, n467, n468, n469, n470) =STDEV.P(o465, o466, o467, o468, o469, o470) =STDEV.P(p465, p466, p467, p468, p469, p470) =STDEV.P(q465, q466, q467, q468, q469, q470) =STDEV.P(r465, r466, r467, r468, r469, r470) =STDEV.P(s465, s466, s467, s468, s469, s470) =STDEV.P(t465, t466, t467, t468, t469, t470) +=AVERAGE(a471, a472, a473, a474, a475, a476) =AVERAGE(b471, b472, b473, b474, b475, b476) =AVERAGE(c471, c472, c473, c474, c475, c476) =AVERAGE(d471, d472, d473, d474, d475, d476) =AVERAGE(e471, e472, e473, e474, e475, e476) =AVERAGE(f471, f472, f473, f474, f475, f476) =AVERAGE(g471, g472, g473, g474, g475, g476) =AVERAGE(h471, h472, h473, h474, h475, h476) =AVERAGE(i471, i472, i473, i474, i475, i476) =AVERAGE(j471, j472, j473, j474, j475, j476) =AVERAGE(k471, k472, k473, k474, k475, k476) =AVERAGE(l471, l472, l473, l474, l475, l476) =AVERAGE(m471, m472, m473, m474, m475, m476) =AVERAGE(n471, n472, n473, n474, n475, n476) =AVERAGE(o471, o472, o473, o474, o475, o476) =AVERAGE(p471, p472, p473, p474, p475, p476) =AVERAGE(q471, q472, q473, q474, q475, q476) =AVERAGE(r471, r472, r473, r474, r475, r476) =AVERAGE(s471, s472, s473, s474, s475, s476) =AVERAGE(t471, t472, t473, t474, t475, t476) =STDEV.P(a471, a472, a473, a474, a475, a476) =STDEV.P(b471, b472, b473, b474, b475, b476) =STDEV.P(c471, c472, c473, c474, c475, c476) =STDEV.P(d471, d472, d473, d474, d475, d476) =STDEV.P(e471, e472, e473, e474, e475, e476) =STDEV.P(f471, f472, f473, f474, f475, f476) =STDEV.P(g471, g472, g473, g474, g475, g476) =STDEV.P(h471, h472, h473, h474, h475, h476) =STDEV.P(i471, i472, i473, i474, i475, i476) =STDEV.P(j471, j472, j473, j474, j475, j476) =STDEV.P(k471, k472, k473, k474, k475, k476) =STDEV.P(l471, l472, l473, l474, l475, l476) =STDEV.P(m471, m472, m473, m474, m475, m476) =STDEV.P(n471, n472, n473, n474, n475, n476) =STDEV.P(o471, o472, o473, o474, o475, o476) =STDEV.P(p471, p472, p473, p474, p475, p476) =STDEV.P(q471, q472, q473, q474, q475, q476) =STDEV.P(r471, r472, r473, r474, r475, r476) =STDEV.P(s471, s472, s473, s474, s475, s476) =STDEV.P(t471, t472, t473, t474, t475, t476) + +0 0 0 0.0001 0 13.396 3.723 36 6 44 6 0 0.0001 0 13.396 3.723 36 6 44 6 +0 0 0 0.0001 0 12.716 3.642 12 6 20 6 0 0.0001 0 12.716 3.642 12 6 20 6 +0 0 0 0.0001 0 13.08 3.682 7 2 14 5 0 0.0001 0 13.08 3.682 7 2 14 5 +0 0 0 0.0001 0 13.137 3.675 12 4 9 5 0 0.0001 0 13.137 3.675 12 4 9 5 +0 0 0 0.0001 0 13.258 3.709 36 6 8 3 0 0.0001 0 13.258 3.709 36 6 8 3 +0 0 0 0.0001 0 12.945 3.655 35 5 4 2 0 0.0001 0 12.945 3.655 35 5 4 2 +0 0 0 0.0001 0 13.112 3.651 9 3 58 6 0 0.0001 0 13.112 3.651 9 3 58 6 +0 0 0 0.0002 0 13.13 3.653 16 4 14 5 0 0.0002 0 13.13 3.653 16 4 14 5 +0 0 0 0.0001 0 13.445 3.713 8 3 12 3 0 0.0001 0 13.445 3.713 8 3 12 3 +0 0 0 0.0001 0 13.178 3.644 11 3 15 4 0 0.0001 0 13.178 3.644 11 3 15 4 +1 0 0 0.0001 0 13.533 4.237 35 6 13 7 0 0.0001 0 13.465 3.98 36 6 44 6 +1 0 0 0.0001 0 13.071 4.139 18 5 8 4 0 0.0001 0 12.893 3.891 18 5 20 6 +1 0 0 0.0001 0 13.303 4.164 7 2 5 3 0 0.0001 0 13.191 3.923 7 2 14 5 +1 0 0 0.0001 0 13.016 4.133 7 3 21 7 0 0.0001 0 13.076 3.904 7 3 9 5 +1 0 0 0.0001 0 13.639 4.174 17 5 11 4 0 0.0001 0 13.449 3.941 36 6 8 3 +1 0 0 0.0001 0 13.132 4.161 32 8 7 6 0 0.0001 0 13.039 3.908 35 5 4 2 +1 0 0 0.0001 0 13.295 4.137 25 4 16 7 0 0.0001 0 13.203 3.894 9 3 58 6 +1 0 0 0.0002 0 13.412 4.122 16 4 13 5 0 0.0002 0 13.271 3.888 16 4 14 5 +1 0 0 0.0001 0 13.459 4.178 8 3 38 7 0 0.0001 0 13.452 3.946 8 3 12 3 +1 0 0 0.0001 0 13.375 4.137 7 2 10 6 0 0.0001 0 13.277 3.891 7 2 15 4 +2 0 0 0.0001 0 14.103 4.578 64 6 11 6 0 0.0001 0 13.678 4.179 36 6 44 6 +2 0 0 0.0001 0 13.651 4.449 15 4 30 8 0 0.0001 0 13.146 4.077 15 4 20 6 +2 0 0 0.0001 0 14.172 4.521 30 6 19 9 0 0.0001 0 13.518 4.123 7 2 14 5 +2 0 0 0.0001 0 13.694 4.478 7 3 9 7 0 0.0001 0 13.282 4.095 7 3 9 5 +2 0 0 0.0001 0 14.316 4.522 4 2 9 8 0 0.0001 0 13.738 4.135 4 2 8 3 +2 0 0 0.0002 0 13.624 4.467 19 6 9 7 0 0.0002 0 13.234 4.094 19 6 4 2 +2 0 0 0.0001 0 14.031 4.504 13 4 18 4 0 0.0001 0 13.479 4.097 13 4 58 6 +2 0 0 0.0001 0 14.202 4.513 41 8 35 9 0 0.0002 0 13.582 4.096 16 4 14 5 +2 0 0 0.0001 0 14.414 4.554 13 6 7 4 0 0.0001 0 13.773 4.148 13 6 12 3 +2 0 0 0.0001 0 14.134 4.534 15 5 15 5 0 0.0001 0 13.563 4.105 15 5 15 4 +3 0 0 0.0001 0 14.564 4.84 22 4 6 4 0 0.0001 0 13.899 4.345 22 4 44 6 +3 0 0 0.0002 0 14.331 4.707 19 7 24 7 0 0.0002 0 13.442 4.235 19 7 20 6 +3 0 0 0.0001 0 14.503 4.748 5 3 13 7 0 0.0001 0 13.764 4.279 7 2 14 5 +3 0 0 0.0001 0 14.67 4.832 5 3 15 5 0 0.0001 0 13.629 4.279 7 3 15 5 +3 0 0 0.0001 0 15.243 4.859 9 3 6 5 0 0.0001 0 14.114 4.316 4 2 8 3 +3 0 0 0.0001 0 14.249 4.758 23 9 44 12 0 0.0002 0 13.487 4.26 19 6 4 2 +3 0 0 0.0001 0 14.815 4.804 13 4 10 6 0 0.0001 0 13.813 4.274 13 4 58 6 +3 0 0 0.0001 0 14.742 4.754 8 4 18 8 0 0.0002 0 13.872 4.261 16 4 14 5 +3 0 0 0.0001 0 14.617 4.772 33 5 17 6 0 0.0001 0 13.984 4.304 13 6 12 3 +3 0 0 0.0001 0 14.877 4.801 11 3 18 5 0 0.0001 0 13.891 4.279 11 3 15 4 +4 0 0 0.0001 0 15.403 5.096 37 7 6 4 0 0.0001 0 14.2 4.495 22 4 44 6 +4 0 0 0.0001 0 15.01 4.96 16 6 10 5 0 0.0002 0 13.756 4.38 19 7 20 6 +4 0 0 0.0001 0 15.359 5.024 31 8 10 7 0 0.0001 0 14.083 4.428 7 2 14 5 +4 0 0 0.0001 0 15.335 5.032 19 6 9 4 0 0.0001 0 13.97 4.43 7 3 15 5 +4 0 0 0.0001 0 15.919 5.115 16 9 17 7 0 0.0001 0 14.475 4.476 4 2 8 3 +4 0 0 0.0002 0 14.972 4.999 42 11 8 4 0 0.0002 0 13.784 4.408 19 6 4 2 +4 0 0 0.0001 0 14.868 4.987 12 4 17 6 0 0.0001 0 14.024 4.417 13 4 58 6 +4 0 0 0.0001 0 15.458 5.025 36 7 23 7 0 0.0002 0 14.189 4.413 16 4 14 5 +4 0 0 0.0001 0 15.468 5.07 9 3 10 4 0 0.0001 0 14.28 4.457 9 3 12 3 +4 0 0 0.0002 0 15.51 5.028 28 8 6 5 0 0.0002 0 14.215 4.429 28 8 15 4 +5 0 0 0.0001 0 16.278 5.325 45 9 13 4 0 0.0001 0 14.546 4.633 45 9 44 6 +5 0 0 0.0002 0 15.588 5.195 15 5 6 4 0 0.0002 0 14.061 4.516 15 5 20 6 +5 0 0 0.0001 0 16.261 5.33 31 8 17 6 0 0.0001 0 14.446 4.578 7 2 14 5 +5 0 0 0.0001 0 16.129 5.265 24 6 18 6 0 0.0001 0 14.33 4.569 7 3 15 5 +5 0 0 0.0001 0 16.631 5.326 6 4 13 6 0 0.0001 0 14.834 4.618 6 4 8 3 +5 0 0 0.0002 0 15.736 5.23 23 7 6 4 0 0.0002 0 14.11 4.545 23 7 4 2 +5 0 0 0.0001 0 15.467 5.238 25 6 7 5 0 0.0001 0 14.264 4.554 25 6 58 6 +5 0 0 0.0001 0 15.857 5.234 37 7 29 8 0 0.0002 0 14.467 4.55 16 4 14 5 +5 0 0 0.0001 0 15.673 5.151 19 5 6 4 0 0.0001 0 14.513 4.573 9 3 12 3 +5 0 0 0.0003 0 16.161 5.219 10 3 41 9 0 0.0003 0 14.539 4.56 10 3 15 4 +6 0 0 0.0002 0 17.203 5.529 20 7 16 6 0 0.0002 0 14.926 4.761 20 7 44 6 +6 0 0 0.0002 0 16.23 5.387 18 5 7 5 0 0.0002 0 14.371 4.64 18 5 20 6 +6 0 0 0.0001 0 17.187 5.545 30 8 13 4 0 0.0001 0 14.838 4.716 7 2 14 5 +6 0 0 0.0002 0 16.649 5.44 31 9 8 6 0 0.0002 0 14.661 4.694 31 9 15 5 +6 0 0 0.0001 0 17.223 5.533 58 10 11 6 0 0.0001 0 15.176 4.748 6 4 8 3 +6 0 0 0.0002 0 16.65 5.481 26 10 10 5 0 0.0002 0 14.473 4.679 23 7 4 2 +6 0 0 0.0001 0 16.191 5.461 16 5 8 4 0 0.0001 0 14.54 4.683 25 6 58 6 +6 0 0 0.0001 0 16.551 5.41 8 4 32 14 0 0.0002 0 14.765 4.673 16 4 14 5 +6 0 0 0.0001 0 15.894 5.286 21 7 15 7 0 0.0001 0 14.71 4.675 9 3 12 3 +6 0 0 0.0003 0 16.738 5.388 42 11 15 6 0 0.0003 0 14.853 4.679 42 11 15 4 +7 0 0 0.0007 0 17.852 5.727 21 7 23 8 0 0.0007 0 15.292 4.882 21 7 44 6 +7 0 0 0.0006 0 16.605 5.503 16 5 19 9 0 0.0006 0 14.65 4.748 16 5 20 6 +7 0 0 0.0001 0 18.364 5.765 24 6 21 8 0 0.0001 0 15.279 4.848 7 2 14 5 +7 0 0 0.0002 0 17.373 5.66 25 5 19 6 0 0.0002 0 15 4.814 31 9 15 5 +7 0 0 0.0002 0 17.819 5.765 16 5 25 7 0 0.0002 0 15.506 4.875 16 5 8 3 +7 0 0 0.0002 0 17.588 5.724 21 7 14 6 0 0.0002 0 14.862 4.809 23 7 4 2 +7 0 0 0.0001 0 16.458 5.559 45 10 21 7 0 0.0001 0 14.78 4.793 25 6 58 6 +7 0 0 0.0002 0 16.827 5.508 20 5 17 6 0 0.0002 0 15.023 4.777 20 5 14 5 +7 0 0 0.0001 0 16.19 5.425 21 7 27 9 0 0.0001 0 14.895 4.769 9 3 12 3 +7 0 0 0.0004 0 17.459 5.573 19 6 9 6 0 0.0004 0 15.179 4.79 19 6 15 4 +8 0 0 0.0007 0 18.586 5.872 30 7 18 6 0 0.0007 0 15.658 4.992 30 7 44 6 +8 0 0 0.0006 0 17.462 5.702 11 4 24 10 0 0.0006 0 14.963 4.854 11 4 20 6 +8 0 0 0.0001 0 20.439 6.112 96 16 55 11 0 0.0001 0 15.852 4.988 7 2 14 5 +8 0 0 0.0002 0 18.07 5.82 24 5 38 8 0 0.0002 0 15.341 4.926 31 9 15 5 +8 0 0 0.0001 0 18.381 5.904 10 5 42 10 0 0.0002 0 15.825 4.99 16 5 8 3 +8 0 0 0.0002 0 18.479 5.971 39 10 71 14 0 0.0002 0 15.264 4.939 39 10 4 2 +8 0 0 0.0001 0 16.892 5.669 65 10 14 6 0 0.0001 0 15.014 4.89 25 6 58 6 +8 0 0 0.0002 0 17.571 5.703 27 9 13 7 0 0.0002 0 15.306 4.88 27 9 14 5 +8 0 0 0.0001 0 17.002 5.592 14 5 28 7 0 0.0001 0 15.129 4.86 9 3 12 3 +8 0 0 0.0007 0 18.76 5.89 43 12 38 11 0 0.0007 0 15.577 4.913 43 12 15 4 +9 0 0 0.0008 0 19.709 6.104 21 7 32 9 0 0.0008 0 16.063 5.103 21 7 44 6 +9 0 0 0.0006 0 17.826 5.853 11 4 16 6 0 0.0006 0 15.249 4.954 11 4 20 6 +9 0 0 0.0001 0 22.893 6.561 9 4 17 8 0 0.0001 0 16.556 5.145 9 4 14 5 +9 0 0 0.0002 0 18.579 5.923 31 5 10 5 0 0.0002 0 15.665 5.026 31 5 15 5 +9 0 0 0.0002 0 18.86 6.046 7 2 36 9 0 0.0002 0 16.129 5.095 16 5 8 3 +9 0 0 0.0007 0 19.715 6.264 23 7 27 8 0 0.0007 0 15.709 5.071 23 7 4 2 +9 0 0 0.0001 0 17.338 5.807 67 10 10 4 0 0.0001 0 15.247 4.982 25 6 58 6 +9 0 0 0.0002 0 18.106 5.841 24 8 49 9 0 0.0002 0 15.586 4.976 27 9 14 5 +9 0 0 0.0001 0 17.919 5.845 12 4 9 5 0 0.0001 0 15.408 4.959 9 3 12 3 +9 0 0.0001 0.0007 0 21.066 6.335 33 9 24 6 0 0.0007 0 16.126 5.055 33 9 15 4 +10 0 0 0.0017 0 21.21 6.354 42 7 11 6 0 0.0017 0 16.531 5.217 42 7 44 6 +10 0 0 0.0006 0 18.513 5.977 13 5 7 4 0 0.0006 0 15.546 5.047 13 5 20 6 +10 0 0 0.0001 0 26.462 7.181 22 5 78 10 0 0.0001 0 17.457 5.33 9 4 14 5 +10 0 0 0.0002 0 19.76 6.145 27 5 18 5 0 0.0002 0 16.037 5.127 27 5 15 5 +10 0 0 0.0001 0 19.27 6.221 18 6 10 5 0 0.0002 0 16.414 5.198 16 5 8 3 +10 0 0 0.0007 0 21.781 6.614 16 5 31 8 0 0.0007 0 16.261 5.211 23 7 4 2 +10 0 0 0.0001 0 17.832 5.929 71 10 37 8 0 0.0001 0 15.482 5.068 71 10 58 6 +10 0 0 0.0002 0 18.745 6.101 27 9 13 6 0 0.0002 0 15.873 5.078 27 9 14 5 +10 0 0 0.0001 0 19.043 6.058 9 3 28 10 0 0.0001 0 15.739 5.059 9 3 12 3 +10 0 0.0001 0.0009 0 25.198 7.048 49 12 12 5 0 0.0009 0 16.951 5.236 49 12 15 4 +11 0 0.0001 0.0024 0 24.192 6.764 45 7 56 17 0 0.0024 0 17.169 5.346 45 7 44 6 +11 0 0.0001 0.0008 0 20.833 6.304 16 4 67 12 0 0.0008 0 15.986 5.152 16 4 20 6 +11 0 0.0001 0.0001 0 30.475 7.889 25 7 39 8 0 0.0001 0 18.542 5.544 25 7 14 5 +11 0 0 0.0003 0 21.518 6.44 51 10 11 6 0 0.0003 0 16.494 5.237 51 10 15 5 +11 0 0 0.0002 0 20.219 6.405 17 5 10 4 0 0.0002 0 16.731 5.298 17 5 8 3 +11 0 0 0.0008 0 24.359 7.048 18 7 62 9 0 0.0008 0 16.936 5.364 18 7 4 2 +11 0 0 0.0001 0 18.321 6.081 72 10 5 3 0 0.0001 0 15.718 5.152 72 10 58 6 +11 0 0 0.0003 0 19.356 6.24 32 7 15 5 0 0.0003 0 16.163 5.175 32 7 14 5 +11 0 0 0.0006 0 19.815 6.203 31 10 14 4 0 0.0006 0 16.078 5.154 31 10 12 3 +11 0 0.0001 0.0012 0 29.541 7.818 42 12 49 12 0 0.0012 0 18 5.451 42 12 15 4 +12 0 0.0002 0.0033 0 30.815 7.64 33 7 37 12 0.0001 0.0033 0 18.219 5.522 33 7 44 6 +12 0 0.0001 0.0008 0 27.106 6.926 13 4 34 9 0 0.0008 0 16.842 5.288 13 4 20 6 +12 0 0.0001 0.0001 0 35.13 8.607 21 5 26 7 0 0.0001 0 19.818 5.779 21 5 14 5 +12 0 0.0001 0.0003 0 23.567 6.754 46 10 15 8 0 0.0003 0 17.038 5.354 46 10 15 5 +12 0 0 0.0004 0 21.587 6.677 11 4 25 9 0 0.0004 0 17.105 5.404 11 4 8 3 +12 0 0.0001 0.002 0 27.812 7.659 29 10 38 12 0 0.002 0 17.773 5.541 29 10 4 2 +12 0 0 0.0002 0 19.264 6.258 9 3 10 5 0 0.0002 0 15.991 5.237 9 3 58 6 +12 0 0 0.0005 0 20.411 6.42 32 8 15 6 0 0.0005 0 16.49 5.271 32 8 14 5 +12 0 0 0.0006 0 20.786 6.311 27 10 6 4 0 0.0006 0 16.44 5.243 27 10 12 3 +12 0 0.0001 0.0012 0 34.385 8.676 40 7 31 10 0.0001 0.0012 0 19.26 5.699 40 7 15 4 +13 0 0.0004 0.0038 0 37.282 8.568 31 6 30 6 0.0001 0.0038 0 19.58 5.74 31 6 44 6 +13 0 0.0002 0.0011 0 35.818 7.934 26 8 50 9 0.0001 0.0011 0 18.197 5.477 26 8 20 6 +13 0 0.0001 0.0002 0 39.902 9.254 16 5 11 7 0 0.0002 0 21.252 6.027 16 5 14 5 +13 0 0.0001 0.0003 0 26.563 7.213 38 10 38 8 0 0.0003 0 17.719 5.486 38 10 15 5 +13 0 0 0.0002 0 23.111 6.993 11 5 22 7 0 0.0004 0 17.534 5.518 11 4 8 3 +13 0 0.0001 0.002 0 31.543 8.39 31 12 35 11 0 0.002 0 18.756 5.744 31 12 4 2 +13 0 0 0.0002 0 20.03 6.393 9 3 9 4 0 0.0002 0 16.28 5.32 9 3 58 6 +13 0 0 0.0005 0 21.967 6.679 32 8 33 10 0 0.0005 0 16.881 5.372 32 8 14 5 +13 0 0 0.0015 0 23.135 6.719 30 10 24 7 0 0.0015 0 16.919 5.348 30 10 12 3 +13 0 0.0002 0.0013 0 38.893 9.495 47 15 64 13 0.0001 0.0013 0 20.663 5.97 47 15 15 4 +14 0 0.0005 0.0039 0 41.065 9.129 30 7 26 7 0.0001 0.0039 0 21.013 5.966 30 7 44 6 +14 0 0.0002 0.0011 0 41.49 8.66 26 8 31 8 0.0001 0.0011 0 19.75 5.689 26 8 20 6 +14 0 0.0001 0.0003 0 44.135 9.869 36 9 36 9 0 0.0003 0 22.778 6.284 36 9 14 5 +14 0 0.0001 0.0003 0 30.418 7.733 38 10 23 8 0 0.0003 0 18.565 5.636 38 10 15 5 +14 0 0.0001 0.0002 0 26.032 7.512 16 5 20 8 0 0.0004 0 18.101 5.651 11 4 8 3 +14 0 0.0002 0.0074 0 32.994 8.972 17 5 11 4 0.0001 0.0074 0 19.705 5.96 17 5 4 2 +14 0 0 0.0001 0 21.375 6.565 86 10 9 5 0 0.0002 0 16.619 5.403 9 3 58 6 +14 0 0.0001 0.0006 0 24.202 7.146 33 8 36 15 0 0.0006 0 17.369 5.49 33 8 14 5 +14 0 0.0001 0.0015 0 27.516 7.584 42 10 35 11 0 0.0015 0 17.625 5.497 42 10 12 3 +14 0 0.0002 0.0019 0 43.993 10.338 46 9 60 12 0.0001 0.0019 0 22.218 6.262 46 9 15 4 +15 0 0.0006 0.0055 0 45.389 9.688 42 8 57 13 0.0001 0.0055 0 22.536 6.198 42 8 44 6 +15 0 0.0003 0.0013 0 44.048 9.093 70 13 48 10 0.0001 0.0013 0 21.269 5.902 70 13 20 6 +15 0 0.0001 0.0003 0 47.562 10.333 37 9 43 11 0 0.0003 0 24.327 6.537 37 9 14 5 +15 0 0.0001 0.0004 0 35.635 8.483 44 9 82 16 0 0.0004 0 19.632 5.814 44 9 15 5 +15 0 0.0001 0.0002 0 28.751 7.987 30 6 41 8 0 0.0004 0 18.766 5.797 11 4 8 3 +15 0 0.0003 0.0049 0 32.953 9.484 43 14 75 16 0.0001 0.0074 0 20.533 6.18 17 5 4 2 +15 0 0 0.0001 0 22.569 6.652 90 11 10 5 0 0.0002 0 16.991 5.481 9 3 58 6 +15 0 0.0001 0.0008 0 27.948 7.75 47 11 7 4 0 0.0008 0 18.03 5.631 47 11 14 5 +15 0 0.0002 0.0018 0 34.402 9.034 35 11 47 12 0 0.0018 0 18.674 5.718 35 11 12 3 +15 0 0.0003 0.0031 0 48.874 11.11 45 9 98 15 0.0001 0.0031 0 23.884 6.565 45 9 15 4 +16 0 0.0007 0.0061 0 49.16 10.07 40 8 40 10 0.0002 0.0061 0 24.102 6.426 40 8 44 6 +16 0 0.0003 0.0014 0 45.578 9.462 43 7 21 7 0.0001 0.0014 0 22.699 6.111 43 7 20 6 +16 0 0.0001 0.0003 0 49.672 10.552 37 9 56 11 0 0.0003 0 25.818 6.773 37 9 14 5 +16 0 0.0001 0.0004 0 41.039 9.161 44 9 27 16 0 0.0004 0 20.891 6.011 44 9 15 5 +16 0 0.0001 0.0003 0 32.341 8.565 22 7 31 8 0 0.0004 0 19.565 5.96 11 4 8 3 +16 0 0.0005 0.0253 0 33.507 10.029 13 5 20 7 0.0001 0.0253 0 21.296 6.406 13 5 4 2 +16 0 0 0.0002 0 25.442 7.072 88 11 17 6 0 0.0002 0 17.488 5.575 88 11 58 6 +16 0 0.0001 0.0043 0 32.69 8.431 39 8 67 11 0 0.0043 0 18.893 5.796 39 8 14 5 +16 0 0.0002 0.0038 0 39.552 9.988 30 10 55 13 0.0001 0.0038 0 19.902 5.97 30 10 12 3 +16 0 0.0004 0.0074 0 52.885 11.718 43 9 44 10 0.0001 0.0074 0 25.59 6.868 43 9 15 4 +17 0 0.0008 0.0061 0 53.479 10.476 40 8 44 8 0.0002 0.0061 0 25.734 6.651 40 8 44 6 +17 0 0.0004 0.0021 0 46.893 9.751 43 10 85 16 0.0001 0.0021 0 24.043 6.314 43 10 20 6 +17 0 0.0001 0.0003 0 51.653 10.728 43 10 29 7 0 0.0003 0 27.253 6.993 37 9 14 5 +17 0 0.0001 0.0004 0 46.748 9.917 42 9 31 7 0.0001 0.0004 0 22.328 6.228 42 9 15 5 +17 0 0.0001 0.0003 0 35.599 9.084 22 7 63 10 0 0.0004 0 20.456 6.133 11 4 8 3 +17 0 0.0007 0.0197 0 35.812 10.695 41 11 22 9 0.0001 0.0253 0 22.103 6.644 13 5 4 2 +17 0 0 0.0004 0 29.724 7.596 15 4 21 7 0 0.0004 0 18.168 5.687 15 4 58 6 +17 0 0.0002 0.0058 0 38.26 9.147 38 8 52 11 0.0001 0.0058 0 19.969 5.982 38 8 14 5 +17 0 0.0003 0.0041 0 43.399 10.548 73 13 81 17 0.0001 0.0041 0 21.207 6.224 73 13 12 3 +17 0 0.0004 0.0078 0 56.347 12.162 42 9 69 17 0.0001 0.0078 0 27.299 7.162 42 9 15 4 +18 0 0.001 0.0047 0 58.085 10.909 36 8 67 11 0.0002 0.0061 0 27.437 6.875 40 8 44 6 +18 0 0.0004 0.0023 0 48.342 10.002 39 8 120 17 0.0001 0.0023 0 25.322 6.508 39 8 20 6 +18 0 0.0001 0.0003 0 53.285 10.945 47 11 66 11 0 0.0003 0 28.623 7.201 47 11 14 5 +18 0 0.0001 0.0004 0 52.201 10.658 47 10 7 5 0.0001 0.0004 0 23.9 6.461 47 10 15 5 +18 0 0.0001 0.0003 0 38.278 9.52 15 5 47 12 0 0.0004 0 21.394 6.311 11 4 8 3 +18 0 0.001 0.0197 0 38.82 11.277 41 11 39 13 0.0002 0.0253 0 22.983 6.888 13 5 4 2 +18 0 0.0001 0.0003 0 34.298 8.102 19 6 23 6 0 0.0004 0 19.017 5.814 15 4 58 6 +18 0 0.0004 0.0096 0 42.767 9.645 41 8 71 16 0.0001 0.0096 0 21.169 6.175 41 8 14 5 +18 0 0.0004 0.0066 0 47.428 11.057 50 10 49 11 0.0001 0.0066 0 22.587 6.478 50 10 12 3 +18 0 0.0006 0.0128 0 58.762 12.387 38 10 116 16 0.0001 0.0128 0 28.955 7.437 38 10 15 4 +19 0 0.0011 0.0053 0 61.665 11.27 27 6 86 16 0.0003 0.0061 0 29.148 7.095 40 8 44 6 +19 0 0.0004 0.0026 0 50.326 10.401 58 11 46 11 0.0001 0.0026 0 26.572 6.702 58 11 20 6 +19 0 0.0001 0.0009 0 53.952 11.002 25 5 30 9 0.0001 0.0009 0 29.89 7.391 25 5 14 5 +19 0 0.0001 0.0004 0 55.654 11.163 40 10 17 7 0.0001 0.0004 0 25.488 6.696 40 10 15 5 +19 0 0.0001 0.0002 0 40.729 9.845 17 5 49 12 0 0.0004 0 22.36 6.488 11 4 8 3 +19 0 0.0014 0.5431 0 42.589 11.836 19 5 29 11 0.0002 0.5431 0 23.963 7.136 19 5 4 2 +19 0 0.0001 0.0003 0 40.298 8.86 92 14 64 12 0 0.0004 0 20.081 5.966 15 4 58 6 +19 0 0.001 0.0116 0 43.425 9.411 41 8 67 12 0.0001 0.0116 0 22.281 6.337 41 8 14 5 +19 0 0.0006 0.0077 0 51.281 11.441 39 14 9 4 0.0001 0.0077 0 24.022 6.726 39 14 12 3 +19 0 0.0014 0.2097 0 58.555 12.034 59 17 33 8 0.0002 0.2097 0 30.435 7.667 59 17 15 4 +20 0 0.0013 0.0063 0 65.545 11.7 50 11 50 13 0.0003 0.0063 0 30.882 7.314 50 11 44 6 +20 0 0.0005 0.0213 0 52.304 10.654 44 8 44 9 0.0002 0.0213 0 27.797 6.891 44 8 20 6 +20 0 0.0001 0.0006 0 55.265 11.134 28 7 77 12 0.0001 0.0009 0 31.098 7.569 25 5 14 5 +20 0 0.0002 0.0004 0 58.8 11.518 72 14 39 9 0.0001 0.0004 0 27.074 6.926 72 14 15 5 +20 0 0.0001 0.0003 0 42.975 10.147 42 9 72 14 0.0001 0.0004 0 23.342 6.662 11 4 8 3 +20 0 0.0028 0.5431 0 43.393 11.631 19 5 55 14 0.0004 0.5431 0 24.888 7.35 19 5 4 2 +20 0 0.0001 0.0003 0 47.373 9.62 87 14 32 12 0 0.0004 0 21.381 6.14 15 4 58 6 +20 0 0.0017 0.0099 0 43.626 9.313 41 8 46 12 0.0002 0.0116 0 23.298 6.478 41 8 14 5 +20 0 0.001 0.0186 0 54.665 11.804 50 10 75 17 0.0002 0.0186 0 25.481 6.968 50 10 12 3 +20 0 0.0071 1 0 54.181 11.086 24 5 48 11 0.0005 1 0 31.565 7.829 24 5 15 4 +21 0 0.0014 0.0062 0 68.801 12.003 127 16 115 17 0.0004 0.0063 0 32.605 7.527 50 11 44 6 +21 0 0.0006 0.0237 0 54.253 10.929 40 7 100 17 0.0002 0.0237 0 29 7.074 40 7 20 6 +21 0 0.0001 0.0006 0 57.241 11.33 63 14 35 12 0.0001 0.0009 0 32.286 7.74 25 5 14 5 +21 0 0.0002 0.0005 0 61.815 11.816 68 13 102 15 0.0001 0.0005 0 28.653 7.148 68 13 15 5 +21 0 0.0001 0.0002 0 44.563 10.323 16 5 55 14 0.0001 0.0004 0 24.307 6.829 11 4 8 3 +21 0 0.02 1 0 34.877 9.385 21 6 68 14 0.0013 1 0 25.342 7.442 21 6 4 2 +21 0 0.0001 0.0003 0 53.842 10.331 27 9 65 13 0 0.0004 0 22.856 6.331 15 4 58 6 +21 0 0.002 0.0085 0 46.562 9.652 34 8 71 14 0.0003 0.0116 0 24.355 6.623 41 8 14 5 +21 0 0.0019 0.019 0 58.651 12.192 37 10 45 11 0.0002 0.019 0 26.989 7.206 37 10 12 3 +22 0 0.0015 0.0063 0 72.036 12.283 61 12 98 14 0.0004 0.0063 0 34.32 7.734 50 11 44 6 +22 0 0.0009 0.0244 0 55.059 10.965 75 15 52 10 0.0002 0.0244 0 30.133 7.243 75 15 20 6 +22 0 0.0001 0.0007 0 57.375 11.322 36 10 38 10 0.0001 0.0009 0 33.377 7.896 25 5 14 5 +22 0 0.0002 0.0005 0 63.131 11.915 68 13 48 15 0.0001 0.0005 0 30.152 7.355 68 13 15 5 +22 0 0.0001 0.0002 0 45.992 10.487 33 6 17 7 0.0001 0.0004 0 25.249 6.988 11 4 8 3 +22 0 0.0001 0.0003 0 59.644 10.936 65 11 74 12 0 0.0004 0 24.456 6.531 15 4 58 6 +22 0 0.0021 0.0086 0 49.824 10.142 24 8 45 8 0.0004 0.0116 0 25.463 6.776 41 8 14 5 +22 0 0.0025 0.0171 0 61.949 12.432 45 10 121 16 0.0003 0.019 0 28.509 7.433 37 10 12 3 +23 0 0.0015 0.0065 0 74.597 12.453 65 12 89 16 0.0005 0.0065 0 35.998 7.931 65 12 44 6 +23 0 0.0028 0.0293 0 53.199 10.514 38 7 13 4 0.0003 0.0293 0 31.094 7.38 38 7 20 6 +23 0 0.0001 0.0019 0 57.937 11.358 26 5 54 11 0.0001 0.0019 0 34.4 8.04 26 5 14 5 +23 0 0.0002 0.0004 0 65.236 12.125 45 9 35 9 0.0001 0.0005 0 31.614 7.554 68 13 15 5 +23 0 0.0001 0.0002 0 47.162 10.553 47 9 36 10 0.0001 0.0004 0 26.162 7.136 11 4 8 3 +23 0 0.0001 0.0003 0 65.177 11.467 89 15 42 10 0 0.0004 0 26.152 6.737 15 4 58 6 +23 0 0.0023 0.0084 0 53.42 10.607 29 8 67 12 0.0004 0.0116 0 26.628 6.935 41 8 14 5 +23 0 0.0029 0.0235 0 64.41 12.622 38 10 40 10 0.0004 0.0235 0 30.005 7.649 38 10 12 3 +24 0 0.0017 0.0077 0 77.609 12.661 36 8 128 17 0.0005 0.0077 0 37.662 8.12 36 8 44 6 +24 0 0.0057 0.0358 0 50.786 10.106 71 14 54 11 0.0005 0.0358 0 31.882 7.489 71 14 20 6 +24 0 0.0001 0.002 0 55.249 11.04 29 7 98 16 0.0001 0.002 0 35.234 8.16 29 7 14 5 +24 0 0.0002 0.0005 0 66.53 12.263 52 7 64 13 0.0001 0.0005 0 33.011 7.742 52 7 15 5 +24 0 0.0001 0.0002 0 49.724 10.913 60 12 58 13 0.0001 0.0004 0 27.105 7.287 11 4 8 3 +24 0 0.0001 0.0004 0 68.506 11.789 76 11 122 14 0 0.0004 0 27.847 6.939 15 4 58 6 +24 0 0.0025 0.0087 0 57.875 11.124 57 10 66 10 0.0005 0.0116 0 27.877 7.103 41 8 14 5 +24 0 0.0032 0.0327 0 66.357 12.756 32 11 69 10 0.0005 0.0327 0 31.459 7.853 32 11 12 3 +25 0 0.0019 0.0081 0 82.365 12.903 39 10 146 17 0.0006 0.0081 0 39.382 8.304 39 10 44 6 +25 0 0.0075 0.0454 0 52.558 10.563 45 8 63 13 0.0008 0.0454 0 32.677 7.607 45 8 20 6 +25 0 0.0002 0.0072 0 51.49 10.59 37 7 63 14 0.0001 0.0072 0 35.86 8.253 37 7 14 5 +25 0 0.0002 0.0005 0 68.904 12.491 48 7 9 4 0.0001 0.0005 0 34.391 7.925 52 7 15 5 +25 0 0.0001 0.0002 0 51.454 11.122 62 13 29 10 0.0001 0.0004 0 28.041 7.435 11 4 8 3 +25 0 0.0001 0.0004 0 70.095 11.922 77 14 45 12 0 0.0004 0 29.471 7.13 15 4 58 6 +25 0 0.0026 0.0082 0 61.222 11.568 76 17 69 16 0.0006 0.0116 0 29.16 7.275 41 8 14 5 +25 0 0.0035 0.0264 0 68.252 12.941 31 13 70 14 0.0007 0.0327 0 32.874 8.049 32 11 12 3 +26 0 0.0022 0.0082 0 87.425 13.149 39 11 68 13 0.0006 0.0082 0 41.161 8.483 39 11 44 6 +26 0 0.0086 0.0452 0 56.132 11.262 47 8 16 5 0.0011 0.0454 0 33.546 7.742 45 8 20 6 +26 0 0.0004 0.1334 0 47.097 9.869 27 5 66 10 0.0001 0.1334 0 36.276 8.313 27 5 14 5 +26 0 0.0002 0.0005 0 70.821 12.662 54 10 77 13 0.0001 0.0005 0 35.74 8.1 54 10 15 5 +26 0 0.0001 0.0002 0 51.893 11.115 47 9 52 12 0.0001 0.0004 0 28.925 7.571 11 4 8 3 +26 0 0.0001 0.0004 0 71.96 12.066 83 17 88 13 0.0001 0.0004 0 31.045 7.313 15 4 58 6 +26 0 0.0027 0.0097 0 64.722 11.904 54 14 34 8 0.0007 0.0116 0 30.477 7.446 41 8 14 5 +26 0 0.004 0.0279 0 71.801 13.249 47 13 80 15 0.0008 0.0327 0 34.316 8.242 32 11 12 3 +27 0 0.0025 0.0077 0 94.369 13.435 36 8 90 12 0.0007 0.0082 0 43.061 8.66 39 11 44 6 +27 0 0.0096 0.0473 0 58.442 11.663 56 9 51 11 0.0014 0.0473 0 34.435 7.882 56 9 20 6 +27 0 0.0012 0.3508 0 43.692 9.093 27 5 104 13 0.0001 0.3508 0 36.541 8.341 27 5 14 5 +27 0 0.0002 0.0005 0 72.363 12.701 44 7 47 11 0.0001 0.0005 0 37.048 8.265 54 10 15 5 +27 0 0.0001 0.0002 0 53.55 11.33 58 11 80 15 0.0001 0.0004 0 29.804 7.705 11 4 8 3 +27 0 0.0001 0.0004 0 73.634 12.193 72 14 54 17 0.0001 0.0004 0 32.566 7.487 15 4 58 6 +27 0 0.0029 0.0088 0 67.13 12.143 76 15 71 14 0.0008 0.0116 0 31.786 7.614 41 8 14 5 +27 0 0.0049 0.0287 0 74.621 13.572 39 13 131 17 0.0009 0.0327 0 35.755 8.432 32 11 12 3 +28 0 0.0029 0.0077 0 102.535 13.772 36 8 175 16 0.0008 0.0082 0 45.112 8.836 39 11 44 6 +28 0 0.0102 0.0473 0 61.159 12.084 56 9 82 15 0.0017 0.0473 0 35.356 8.027 56 9 20 6 +28 0 0.0002 0.0004 0 74.5 12.925 88 17 98 12 0.0001 0.0005 0 38.34 8.426 54 10 15 5 +28 0 0.0001 0.0002 0 54.463 11.401 56 10 48 11 0.0001 0.0004 0 30.655 7.833 11 4 8 3 +28 0 0.0001 0.0004 0 75.7 12.374 40 10 50 8 0.0001 0.0004 0 34.054 7.656 40 10 58 6 +28 0 0.0029 0.0101 0 69.983 12.353 36 8 100 15 0.0008 0.0116 0 33.103 7.777 41 8 14 5 +28 0 0.0059 0.0301 0 77.405 13.902 48 13 59 17 0.0011 0.0327 0 37.191 8.621 32 11 12 3 +29 0 0.0033 0.0078 0 108.372 13.914 37 8 141 16 0.0009 0.0082 0 47.221 9.006 39 11 44 6 +29 0 0.0108 0.0465 0 63.162 12.343 91 14 48 10 0.002 0.0473 0 36.283 8.171 56 9 20 6 +29 0 0.0002 0.0004 0 76.678 13.06 97 16 82 14 0.0001 0.0005 0 39.618 8.58 54 10 15 5 +29 0 0.0001 0.0002 0 55.366 11.476 25 6 35 8 0.0001 0.0004 0 31.478 7.954 11 4 8 3 +29 0 0.0001 0.0004 0 78.215 12.596 46 10 64 17 0.0001 0.0004 0 35.526 7.821 46 10 58 6 +29 0 0.003 0.0086 0 72.006 12.569 36 8 78 14 0.0009 0.0116 0 34.4 7.937 41 8 14 5 +29 0 0.0067 0.0341 0 80.681 14.191 33 13 105 17 0.0013 0.0341 0 38.641 8.806 33 13 12 3 +30 0 0.0037 0.0082 0 113.453 14.119 39 8 102 13 0.001 0.0082 0 49.357 9.171 39 11 44 6 +30 0 0.0108 0.0483 0 65.238 12.491 56 9 125 17 0.0023 0.0483 0 37.217 8.31 56 9 20 6 +30 0 0.0002 0.0004 0 79.065 13.214 53 11 87 10 0.0001 0.0005 0 40.89 8.729 54 10 15 5 +30 0 0.0001 0.0002 0 57.329 11.629 26 6 27 11 0.0001 0.0004 0 32.312 8.073 11 4 8 3 +30 0 0.0001 0.0023 0 80.27 12.732 44 8 36 9 0.0001 0.0023 0 36.969 7.979 44 8 58 6 +30 0 0.003 0.0101 0 73.682 12.697 72 14 77 13 0.001 0.0116 0 35.667 8.091 41 8 14 5 +30 0 0.0073 0.0457 0 82.899 14.435 32 10 58 14 0.0015 0.0457 0 40.069 8.988 32 10 12 3 +31 0 0.0039 0.0091 0 116.996 14.243 49 12 34 7 0.001 0.0091 0 51.471 9.329 49 12 44 6 +31 0 0.0116 0.0504 0 67.26 12.708 92 14 52 13 0.0026 0.0504 0 38.156 8.448 92 14 20 6 +31 0 0.0002 0.0005 0 80.478 13.265 52 11 38 9 0.0001 0.0005 0 42.127 8.871 52 11 15 5 +31 0 0.0001 0.0002 0 58.843 11.738 29 7 114 17 0.0001 0.0004 0 33.141 8.187 11 4 8 3 +31 0 0.0001 0.0035 0 82.647 12.909 42 8 62 13 0.0001 0.0035 0 38.396 8.133 42 8 58 6 +31 0 0.0031 0.0102 0 75.515 12.852 73 14 119 17 0.001 0.0116 0 36.912 8.239 41 8 14 5 +31 0 0.0081 0.075 0 84.357 14.56 28 10 93 15 0.0017 0.075 0 41.453 9.162 28 10 12 3 +32 0 0.004 0.0091 0 118.621 14.296 49 12 151 14 0.0011 0.0091 0 53.506 9.48 49 12 44 6 +32 0 0.0123 0.0504 0 68.748 12.872 92 14 73 14 0.0029 0.0504 0 39.083 8.582 92 14 20 6 +32 0 0.0002 0.0005 0 83.08 13.402 37 9 108 17 0.0001 0.0005 0 43.368 9.009 52 11 15 5 +32 0 0.0001 0.0003 0 60.339 11.841 30 6 55 11 0.0001 0.0004 0 33.965 8.298 11 4 8 3 +32 0 0.0002 0.006 0 82.249 12.823 39 8 93 14 0.0001 0.006 0 39.725 8.275 39 8 58 6 +32 0 0.0032 0.0102 0 76.872 12.939 71 14 80 13 0.0011 0.0116 0 38.123 8.382 41 8 14 5 +32 0 0.0084 0.0616 0 84.724 14.524 28 11 126 16 0.0019 0.075 0 42.764 9.324 28 10 12 3 +33 0 0.004 0.0108 0 119.593 14.341 47 12 130 17 0.0012 0.0108 0 55.45 9.623 47 12 44 6 +33 0 0.0128 0.0498 0 70.5 12.986 92 14 57 13 0.0032 0.0504 0 40.007 8.711 92 14 20 6 +33 0 0.0002 0.0005 0 84.521 13.422 56 10 64 13 0.0001 0.0005 0 44.579 9.138 52 11 15 5 +33 0 0.0001 0.0003 0 62.847 12.132 23 6 47 11 0.0001 0.0004 0 34.815 8.411 11 4 8 3 +33 0 0.0005 0.0083 0 74.081 11.894 59 16 30 8 0.0001 0.0083 0 40.736 8.382 59 16 58 6 +33 0 0.0033 0.0122 0 80.269 13.238 80 14 105 14 0.0012 0.0122 0 39.363 8.525 80 14 14 5 +33 0 0.0086 0.0375 0 84.401 14.48 49 13 102 14 0.0021 0.075 0 43.989 9.476 28 10 12 3 +34 0 0.0041 0.0087 0 122.366 14.531 46 12 144 16 0.0013 0.0108 0 57.362 9.763 47 12 44 6 +34 0 0.0134 0.0531 0 72.546 13.119 59 12 115 13 0.0035 0.0531 0 40.937 8.837 59 12 20 6 +34 0 0.0002 0.0004 0 86.355 13.529 179 17 89 15 0.0001 0.0005 0 45.772 9.264 52 11 15 5 +34 0 0.0001 0.0002 0 64.89 12.246 39 8 104 17 0.0001 0.0004 0 35.674 8.52 11 4 8 3 +34 0 0.0011 0.0135 0 58.345 10.414 46 11 70 11 0.0001 0.0135 0 41.239 8.44 46 11 58 6 +34 0 0.0035 0.0128 0 81.952 13.405 44 9 104 15 0.0012 0.0128 0 40.58 8.664 44 9 14 5 +34 0 0.0093 0.0356 0 84.808 14.457 69 13 42 8 0.0023 0.075 0 45.155 9.618 28 10 12 3 +35 0 0.004 0.0077 0 122.85 14.501 36 8 179 15 0.0014 0.0108 0 59.181 9.895 47 12 44 6 +35 0 0.0145 0.0544 0 75.309 13.416 86 13 69 17 0.0038 0.0544 0 41.892 8.965 86 13 20 6 +35 0 0.0002 0.0004 0 88.634 13.628 179 17 78 16 0.0001 0.0005 0 46.963 9.385 52 11 15 5 +35 0 0.0001 0.0002 0 66.465 12.333 80 16 106 14 0.0001 0.0004 0 36.529 8.626 11 4 8 3 +35 0 0.0014 0.0292 0 55.174 10.365 61 16 56 12 0.0001 0.0292 0 41.626 8.493 61 16 58 6 +35 0 0.0037 0.0116 0 82.982 13.51 88 14 68 11 0.0013 0.0128 0 41.758 8.799 44 9 14 5 +35 0 0.01 0.0603 0 85.133 14.46 80 17 78 14 0.0025 0.075 0 46.265 9.753 28 10 12 3 +36 0 0.0041 0.0081 0 124.428 14.538 47 8 144 17 0.0015 0.0108 0 60.944 10.02 47 12 44 6 +36 0 0.0156 0.0552 0 77.222 13.512 71 13 97 16 0.0041 0.0552 0 42.846 9.087 71 13 20 6 +36 0 0.0002 0.0004 0 90.495 13.751 89 14 172 17 0.0001 0.0005 0 48.14 9.503 52 11 15 5 +36 0 0.0001 0.0002 0 68.111 12.453 193 16 38 11 0.0001 0.0004 0 37.383 8.73 11 4 8 3 +36 0 0.0018 0.0292 0 58.291 10.912 61 16 65 9 0.0002 0.0292 0 42.076 8.559 61 16 58 6 +36 0 0.0039 0.0128 0 83.013 13.532 46 9 39 8 0.0014 0.0128 0 42.873 8.926 44 9 14 5 +36 0 0.0106 0.0688 0 85.398 14.42 73 17 105 17 0.0027 0.075 0 47.323 9.879 28 10 12 3 +37 0 0.0042 0.008 0 126.322 14.591 40 11 80 12 0.0015 0.0108 0 62.665 10.14 47 12 44 6 +37 0 0.0155 0.0604 0 77.958 13.468 69 13 44 9 0.0044 0.0604 0 43.77 9.203 69 13 20 6 +37 0 0.0002 0.0005 0 92.315 13.811 107 15 95 16 0.0001 0.0005 0 49.302 9.616 52 11 15 5 +37 0 0.0001 0.0002 0 70.348 12.59 55 16 77 12 0.0001 0.0004 0 38.251 8.831 11 4 8 3 +37 0 0.0022 0.0295 0 61.725 11.506 58 16 101 16 0.0002 0.0295 0 42.593 8.636 58 16 58 6 +37 0 0.0041 0.0116 0 84.32 13.704 79 13 111 15 0.0014 0.0128 0 43.963 9.052 44 9 14 5 +37 0 0.0112 0.2633 0 85.633 14.402 31 11 148 17 0.003 0.2633 0 48.331 9.998 31 11 12 3 +38 0 0.0042 0.0078 0 128.071 14.684 46 8 133 16 0.0016 0.0108 0 64.342 10.257 47 12 44 6 +38 0 0.0169 0.0657 0 81.033 13.787 88 13 54 12 0.0047 0.0657 0 44.726 9.32 88 13 20 6 +38 0 0.0002 0.0005 0 94.306 13.878 116 15 134 17 0.0001 0.0005 0 50.456 9.726 52 11 15 5 +38 0 0.0001 0.0002 0 73.178 12.728 86 14 20 9 0.0001 0.0004 0 39.146 8.931 11 4 8 3 +38 0 0.0029 0.0443 0 63.632 12.063 65 17 81 13 0.0003 0.0443 0 43.133 8.724 65 17 58 6 +38 0 0.0042 0.0126 0 84.52 13.697 82 16 49 12 0.0015 0.0128 0 45.003 9.171 44 9 14 5 +38 0 0.012 0.0743 0 86.424 14.463 70 17 50 10 0.0032 0.2633 0 49.308 10.113 31 11 12 3 +39 0 0.0042 0.008 0 129.149 14.733 46 8 191 16 0.0017 0.0108 0 65.962 10.369 47 12 44 6 +39 0 0.0177 0.071 0 82.084 13.75 87 13 121 16 0.005 0.071 0 45.66 9.431 87 13 20 6 +39 0 0.0002 0.0005 0 96.138 14.045 116 15 152 14 0.0001 0.0005 0 51.598 9.834 52 11 15 5 +39 0 0.0001 0.0003 0 74.411 12.815 56 10 13 5 0.0001 0.0004 0 40.028 9.028 11 4 8 3 +39 0 0.0048 0.1108 0 63.696 12.763 43 13 77 10 0.0004 0.1108 0 43.647 8.825 43 13 58 6 +39 0 0.0045 0.0119 0 85.794 13.814 122 17 31 9 0.0016 0.0128 0 46.023 9.287 44 9 14 5 +39 0 0.0131 0.2931 0 86.888 14.487 29 11 86 17 0.0034 0.2931 0 50.247 10.222 29 11 12 3 +40 0 0.0042 0.0103 0 128.986 14.752 35 8 132 15 0.0017 0.0108 0 67.499 10.476 47 12 44 6 +40 0 0.0185 0.0674 0 84.48 13.883 70 13 87 15 0.0054 0.071 0 46.607 9.54 87 13 20 6 +40 0 0.0002 0.0005 0 97.675 14.029 116 15 204 17 0.0001 0.0005 0 52.722 9.936 52 11 15 5 +40 0 0.0001 0.0003 0 77.327 13.068 58 10 17 6 0.0001 0.0004 0 40.937 9.127 11 4 8 3 +40 0 0.0076 0.3682 0 61.039 13.374 54 15 9 4 0.0006 0.3682 0 44.071 8.936 54 15 58 6 +40 0 0.0046 0.0122 0 86.698 13.88 94 17 77 16 0.0017 0.0128 0 47.015 9.399 44 9 14 5 +40 0 0.015 0.2944 0 86.297 14.46 36 11 117 17 0.0037 0.2944 0 51.127 10.325 36 11 12 3 +41 0 0.0042 0.0078 0 130.367 14.772 153 16 26 7 0.0018 0.0108 0 68.996 10.578 47 12 44 6 +41 0 0.0192 0.0686 0 85.34 13.965 77 15 143 15 0.0057 0.071 0 47.529 9.645 87 13 20 6 +41 0 0.0002 0.0005 0 100.83 14.185 58 12 148 17 0.0001 0.0005 0 53.867 10.037 52 11 15 5 +41 0 0.0001 0.0003 0 78.891 13.19 53 10 109 15 0.0001 0.0004 0 41.841 9.224 11 4 8 3 +41 0 0.0108 0.3682 0 58.786 13.865 54 15 39 8 0.0008 0.3682 0 44.421 9.053 54 15 58 6 +41 0 0.0047 0.0124 0 87.818 13.933 94 16 108 17 0.0017 0.0128 0 47.987 9.507 44 9 14 5 +41 0 0.0171 0.2963 0 82.642 14.346 36 11 84 15 0.004 0.2963 0 51.877 10.421 36 11 12 3 +42 0 0.0042 0.0078 0 131.274 14.777 153 16 143 13 0.0018 0.0108 0 70.444 10.676 47 12 44 6 +42 0 0.02 0.0741 0 86.974 14.02 81 15 117 14 0.006 0.0741 0 48.446 9.747 81 15 20 6 +42 0 0.0002 0.0005 0 102.236 14.224 69 12 76 11 0.0001 0.0005 0 54.992 10.134 52 11 15 5 +42 0 0.0001 0.0002 0 81.375 13.364 103 15 104 14 0.0001 0.0004 0 42.761 9.32 11 4 8 3 +42 0 0.0162 0.3682 0 57.477 13.876 54 15 31 6 0.0012 0.3682 0 44.725 9.165 54 15 58 6 +42 0 0.0048 0.0129 0 89.766 14.067 68 14 94 15 0.0018 0.0129 0 48.958 9.613 68 14 14 5 +42 0 0.0208 0.2963 0 78.747 14.323 36 11 36 10 0.0044 0.2963 0 52.502 10.512 36 11 12 3 +43 0 0.0043 0.0079 0 132.578 14.852 88 13 122 16 0.0019 0.0108 0 71.856 10.77 47 12 44 6 +43 0 0.0205 0.0766 0 88.531 14.173 72 14 121 17 0.0064 0.0766 0 49.357 9.847 72 14 20 6 +43 0 0.0002 0.0005 0 103.262 14.208 56 12 180 17 0.0001 0.0005 0 56.089 10.227 52 11 15 5 +43 0 0.0001 0.0002 0 82.706 13.437 101 15 43 10 0.0001 0.0004 0 43.668 9.413 11 4 8 3 +43 0 0.0271 0.378 0 56.209 13.792 54 15 57 16 0.0018 0.378 0 44.986 9.271 54 15 58 6 +43 0 0.0049 0.0124 0 89.9 14.097 97 15 29 8 0.0019 0.0129 0 49.889 9.715 68 14 14 5 +43 0 0.0254 0.2944 0 73.464 14.304 36 11 46 11 0.0049 0.2963 0 52.978 10.598 36 11 12 3 +44 0 0.0042 0.0079 0 132.494 14.793 71 9 158 16 0.0019 0.0108 0 73.204 10.86 47 12 44 6 +44 0 0.0213 0.0792 0 89.986 14.229 64 13 78 17 0.0067 0.0792 0 50.26 9.945 64 13 20 6 +44 0 0.0002 0.0005 0 105.853 14.259 54 11 151 17 0.0001 0.0005 0 57.195 10.317 54 11 15 5 +44 0 0.0001 0.0003 0 83.905 13.476 76 16 22 8 0.0001 0.0004 0 44.562 9.504 11 4 8 3 +44 0 0.0427 0.4118 0 53.505 13.562 54 15 70 16 0.0027 0.4118 0 45.175 9.366 54 15 58 6 +44 0 0.005 0.0126 0 90.349 14.116 96 15 137 16 0.0019 0.0129 0 50.788 9.813 68 14 14 5 +44 0 0.029 0.2944 0 69.415 14.384 36 11 63 13 0.0054 0.2963 0 53.344 10.682 36 11 12 3 +45 0 0.0042 0.0078 0 132.663 14.819 167 17 128 15 0.002 0.0108 0 74.496 10.946 47 12 44 6 +45 0 0.0221 0.0814 0 91.3 14.311 79 15 108 15 0.007 0.0814 0 51.152 10.04 79 15 20 6 +45 0 0.0002 0.0005 0 107.362 14.264 92 16 94 17 0.0001 0.0005 0 58.286 10.402 54 11 15 5 +45 0 0.0002 0.0003 0 85.314 13.572 76 16 71 16 0.0001 0.0004 0 45.448 9.592 11 4 8 3 +45 0 0.0508 0.4938 0 51.633 13.427 58 17 9 4 0.0037 0.4938 0 45.316 9.454 58 17 58 6 +45 0 0.005 0.0121 0 90.715 14.147 123 17 118 14 0.002 0.0129 0 51.656 9.907 68 14 14 5 +45 0 0.0316 0.2944 0 66.764 14.35 36 11 89 17 0.006 0.2963 0 53.635 10.762 36 11 12 3 +46 0 0.0043 0.0079 0 134.833 14.914 49 14 61 10 0.002 0.0108 0 75.78 11.03 47 12 44 6 +46 0 0.0222 0.0851 0 92.261 14.344 70 14 132 17 0.0073 0.0851 0 52.027 10.131 70 14 20 6 +46 0 0.0002 0.0005 0 108.63 14.232 42 9 118 17 0.0001 0.0005 0 59.357 10.484 54 11 15 5 +46 0 0.0002 0.0003 0 85.995 13.526 60 12 125 16 0.0001 0.0004 0 46.311 9.676 11 4 8 3 +46 0 0.0052 0.012 0 92.381 14.201 83 12 9 4 0.0021 0.0129 0 52.522 9.999 68 14 14 5 +46 0 0.0348 0.4255 0 66.484 14.444 58 14 91 17 0.0066 0.4255 0 53.909 10.84 58 14 12 3 +47 0 0.0043 0.0078 0 136.362 14.968 38 8 145 15 0.0021 0.0108 0 77.042 11.112 47 12 44 6 +47 0 0.0232 0.0869 0 94.659 14.495 85 16 116 16 0.0077 0.0869 0 52.915 10.222 85 16 20 6 +47 0 0.0002 0.0005 0 110.208 14.309 58 10 57 11 0.0001 0.0005 0 60.416 10.564 54 11 15 5 +47 0 0.0002 0.0004 0 86.433 13.526 68 12 78 16 0.0001 0.0004 0 47.147 9.756 11 4 8 3 +47 0 0.0052 0.0125 0 93.718 14.266 90 15 89 16 0.0021 0.0129 0 53.381 10.088 68 14 14 5 +47 0 0.036 0.4255 0 64.582 14.304 58 14 80 17 0.0072 0.4255 0 54.131 10.912 58 14 12 3 +48 0 0.0043 0.0082 0 137.424 14.997 37 8 49 9 0.0021 0.0108 0 78.275 11.192 47 12 44 6 +48 0 0.0239 0.0823 0 95.99 14.532 88 17 74 15 0.008 0.0869 0 53.794 10.31 85 16 20 6 +48 0 0.0002 0.0005 0 111.605 14.311 111 17 93 17 0.0001 0.0005 0 61.461 10.64 54 11 15 5 +48 0 0.0002 0.0004 0 87.226 13.596 68 12 92 14 0.0001 0.0004 0 47.965 9.834 11 4 8 3 +48 0 0.0052 0.0148 0 94.231 14.231 91 16 75 14 0.0022 0.0148 0 54.214 10.172 91 16 14 5 +48 0 0.039 0.4669 0 63.66 14.225 61 14 59 15 0.0079 0.4669 0 54.325 10.98 61 14 12 3 +49 0 0.0043 0.008 0 139.048 15.109 129 16 10 4 0.0022 0.0108 0 79.49 11.27 47 12 44 6 +49 0 0.0248 0.0868 0 98.33 14.582 75 15 76 15 0.0083 0.0869 0 54.685 10.395 85 16 20 6 +49 0 0.0002 0.0005 0 113.529 14.36 35 9 152 15 0.0001 0.0005 0 62.502 10.714 54 11 15 5 +49 0 0.0002 0.0004 0 87.964 13.521 73 13 100 13 0.0001 0.0004 0 48.765 9.908 11 4 8 3 +49 0 0.0053 0.0134 0 95.082 14.223 122 17 119 17 0.0023 0.0148 0 55.032 10.253 91 16 14 5 +49 0 0.0473 0.5286 0 65.115 14.486 69 17 39 11 0.0087 0.5286 0 54.541 11.05 69 17 12 3 +50 0 0.0043 0.0078 0 140.019 15.159 38 8 198 17 0.0022 0.0108 0 80.677 11.346 47 12 44 6 +50 0 0.0258 0.096 0 101.301 14.678 62 15 123 17 0.0087 0.096 0 55.599 10.479 62 15 20 6 +50 0 0.0002 0.0006 0 117.713 14.541 43 11 162 16 0.0001 0.0006 0 63.585 10.79 43 11 15 5 +50 0 0.0002 0.0005 0 90.014 13.627 40 9 186 17 0.0001 0.0005 0 49.574 9.981 40 9 8 3 +50 0 0.0053 0.0135 0 96.497 14.343 112 16 32 8 0.0023 0.0148 0 55.845 10.333 91 16 14 5 +50 0 0.0599 0.5286 0 65.02 14.497 69 17 33 11 0.0097 0.5286 0 54.747 11.118 69 17 12 3 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.bst new file mode 100644 index 0000000..f0d377e --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.bst @@ -0,0 +1,27 @@ +=== BEST-OF-RUN === + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +TREE-equ: +y = (((cos(sin((cos(sin((exp((log(x) / log(x))) + exp(cos((x - -0.79752)))))) + sin((0.83999 - 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standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +=== BEST-OF-RUN === + current generation: 41 + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +=== BEST-OF-RUN === + current generation: 42 + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ 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x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +=== BEST-OF-RUN === + current generation: 47 + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +=== BEST-OF-RUN === + current generation: 48 + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +=== BEST-OF-RUN === + current generation: 49 + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) +=== BEST-OF-RUN === + current generation: 50 + generation: 33 + nodes: 47 + depth: 12 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 91.6646 + standardized fitness: 91.6646 + adjusted fitness: 0.0108 +TREE: + (+ (+ (* (cos (sin (+ (cos (sin (+ (exp (/ (log x) + (log x))) + (exp (cos (- x -0.79752)))))) + (sin (- 0.83999 x))))) + (* x x)) + (sin x)) + (* (* (* (cos (sin (/ -0.54804 x))) + (* x x)) + (+ (sin 0.32564) x)) + (+ 0.80455 x))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.prg new file mode 100644 index 0000000..ce49f14 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 1.32966, y = 8.57424 + x = -3.35859, y = 97.27772 + x = -2.14018, y = 13.61722 + x = -3.65802, y = 139.82819 + x = -2.46898, y = 25.73599 + x = 0.71527, y = 1.85457 + x = -1.40394, y = 1.68490 + x = -4.91122, y = 482.52654 + x = -2.93768, y = 54.81633 + x = 2.82246, y = 96.73427 + x = -2.79120, y = 43.95024 + x = 4.40089, y = 484.11819 + x = 3.21795, y = 154.12572 + x = 2.89035, y = 105.18167 + x = -4.87610, y = 468.27726 + x = -2.11097, y = 12.79600 + x = 4.80599, y = 672.40904 + x = -3.42572, y = 105.83015 + x = -2.20032, y = 15.42761 + x = 4.18500, y = 401.74540 + x = 4.54008, y = 543.60068 + x = 3.00412, y = 120.58556 + x = 0.88949, y = 3.01039 + x = 2.92260, y = 109.38675 + x = 2.15967, y = 38.65127 + x = -2.74978, y = 41.19273 + x = 1.17597, y = 6.09760 + x = 0.57857, y = 1.21905 + x = 2.42423, y = 57.08583 + x = 2.32511, y = 49.52749 + x = 1.97781, y = 28.92776 + x = 2.69509, y = 82.29289 + x = -0.50133, y = -0.31283 + x = -2.87650, y = 50.06027 + x = 2.21204, y = 41.87126 + x = -4.37835, y = 298.34464 + x = -2.15097, y = 13.92987 + x = -0.79443, y = -0.26638 + x = 2.05704, y = 32.89745 + x = 3.36887, y = 181.75850 + x = -1.37140, y = 1.46729 + x = -0.37757, y = -0.26851 + x = -1.97697, y = 9.48035 + x = 0.27772, y = 0.38222 + x = -2.96538, y = 57.07777 + x = 1.15207, y = 5.77010 + x = 3.79546, y = 280.39409 + x = -1.08421, y = 0.19864 + x = -3.09140, y = 68.25277 + x = -0.32043, y = -0.24011 + x = -0.72620, y = -0.30369 + x = -4.79484, y = 436.52373 + x = 1.94654, y = 27.46755 + x = 1.86394, y = 23.88470 + x = 3.67736, y = 249.79959 + x = 3.63457, y = 239.36394 + x = 2.14274, y = 37.65235 + x = -4.26368, y = 266.88083 + x = -0.87005, y = -0.19865 + x = -3.09064, y = 68.18093 + x = -2.13376, y = 13.43355 + x = 4.39049, y = 479.88025 + x = -1.96826, y = 9.28879 + x = -1.30655, y = 1.08423 + x = -0.80614, y = -0.25784 + x = 2.58637, y = 71.32367 + x = 1.37786, y = 9.49660 + x = -2.05977, y = 11.44409 + x = 0.85573, y = 2.75086 + x = -1.02817, y = 0.05958 + x = -0.90643, y = -0.15451 + x = 0.89021, y = 3.01616 + x = 4.66568, y = 601.86910 + x = 3.12012, y = 138.00243 + x = -0.08880, y = -0.08155 + x = 4.33492, y = 457.70789 + x = -3.94242, y = 191.89947 + x = 4.02554, y = 348.06668 + x = 4.24524, y = 423.57114 + x = 3.52510, y = 214.16894 + x = 0.10748, y = 0.12041 + x = 0.43965, y = 0.75529 + x = -3.55138, y = 123.33922 + x = 0.51487, y = 0.98671 + x = -0.54113, y = -0.32102 + x = 2.58732, y = 71.41391 + x = -0.33666, y = -0.24863 + x = -4.19478, y = 249.21557 + x = 2.92964, y = 110.32121 + x = 4.62566, y = 582.81835 + x = -0.75621, y = -0.28978 + x = 4.90880, y = 727.92330 + x = 3.34984, y = 178.08113 + x = -1.91479, y = 8.17393 + x = -0.72471, y = -0.30429 + x = 2.73839, y = 87.00323 + x = -0.04325, y = -0.04145 + x = -0.09709, y = -0.08849 + x = -4.63348, y = 378.28268 + x = -2.30031, y = 18.81820 + x = 0.09449, y = 0.10435 + x = 4.76991, y = 653.70304 + x = -0.32946, y = -0.24489 + x = -1.61650, y = 3.60063 + x = 4.57208, y = 558.02633 + x = 3.83415, y = 291.01061 + x = 3.75653, y = 270.01384 + x = -3.56833, y = 125.85778 + x = -2.59493, y = 32.00760 + x = -3.90996, y = 185.31923 + x = -1.02878, y = 0.06094 + x = 1.33752, y = 8.71964 + x = -2.19332, y = 15.20841 + x = -0.49571, y = -0.31141 + x = 2.66557, y = 79.19549 + x = -2.04257, y = 11.01396 + x = -3.95934, y = 195.39866 + x = 4.94654, y = 749.14309 + x = 4.41816, y = 491.21676 + x = 1.45547, y = 11.14471 + x = -2.37038, y = 21.49979 + x = -3.52505, y = 119.50351 + x = -2.42629, y = 23.83270 + x = -1.84396, y = 6.84777 + x = 3.87734, y = 303.21623 + x = -0.67634, y = -0.31904 + x = -3.78033, y = 160.71666 + x = 1.28217, y = 7.73662 + x = 3.54803, y = 219.27174 + x = 1.07705, y = 4.83217 + x = -4.42161, y = 310.91166 + x = 4.62591, y = 582.93312 + x = 1.62047, y = 15.39724 + x = 3.15520, y = 143.62931 + x = -0.44613, y = -0.29628 + x = 3.76996, y = 273.56170 + x = -2.36703, y = 21.36533 + x = 1.94434, y = 27.36716 + x = 2.84929, y = 100.00923 + x = -3.49856, y = 115.73523 + x = 1.54666, y = 13.36111 + x = -0.28320, y = -0.21928 + x = -3.61294, y = 132.66936 + x = -3.52583, y = 119.61600 + x = 1.99605, y = 29.80679 + x = -2.23116, y = 16.42130 + x = 2.33509, y = 50.25171 + x = 0.19380, y = 0.24005 + x = -0.79213, y = -0.26798 + x = 4.95163, y = 752.04119 + x = 1.51872, y = 12.64821 + x = 3.67458, y = 249.11206 + x = 1.35488, y = 9.04758 + x = -0.71053, y = -0.30951 + x = -2.87869, y = 50.22509 + x = 0.46859, y = 0.83926 + x = -1.85056, y = 6.96440 + x = 1.51534, y = 12.56404 + x = 3.82963, y = 289.75479 + x = -4.19788, y = 249.98926 + x = 1.20118, y = 6.45885 + x = -3.18781, y = 77.84810 + x = -1.41762, y = 1.78180 + x = -4.09637, y = 225.52224 + x = -0.45662, y = -0.29985 + x = 4.25442, y = 426.97276 + x = -0.04954, y = -0.04720 + x = -3.66749, y = 141.36897 + x = 2.50824, y = 64.15939 + x = -0.10327, y = -0.09359 + x = 0.62234, y = 1.40070 + x = 0.84685, y = 2.68567 + x = 0.73867, y = 1.98508 + x = 4.46653, y = 511.52090 + x = 4.93675, y = 743.59317 + x = -1.04496, y = 0.09829 + x = 0.12007, y = 0.13642 + x = 3.28424, y = 165.83749 + x = -3.96527, y = 196.63516 + x = -1.59124, y = 3.32302 + x = -3.82577, y = 169.04278 + x = -0.29568, y = -0.22646 + x = 2.45254, y = 59.39931 + x = 2.74591, y = 87.84163 + x = 4.87587, y = 709.77766 + x = 3.76620, y = 272.56347 + x = 1.04353, y = 4.45466 + x = 0.71684, y = 1.86313 + x = -1.38818, y = 1.57728 + x = 0.29946, y = 0.42402 + x = -1.18050, y = 0.51003 + x = -3.69954, y = 146.67536 + x = 4.43610, y = 498.67624 + x = -2.04744, y = 11.13466 + x = 0.87910, y = 2.92851 + x = -4.30019, y = 276.61524 + x = 3.97813, y = 333.20726 + x = -3.07947, y = 67.13059 + x = -3.46258, y = 110.75930 + x = -1.95899, y = 9.08822 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.stt new file mode 100644 index 0000000..0a170cb --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.396 3.723 36 6 44 6 0.0000 0.0001 0.0000 13.396 3.723 36 6 44 6 +1 0 0.0000 0.0001 0.0000 13.533 4.237 35 6 13 7 0.0000 0.0001 0.0000 13.465 3.980 36 6 44 6 +2 0 0.0000 0.0001 0.0000 14.103 4.578 64 6 11 6 0.0000 0.0001 0.0000 13.678 4.179 36 6 44 6 +3 0 0.0000 0.0001 0.0000 14.564 4.840 22 4 6 4 0.0000 0.0001 0.0000 13.899 4.345 22 4 44 6 +4 0 0.0000 0.0001 0.0000 15.403 5.096 37 7 6 4 0.0000 0.0001 0.0000 14.200 4.495 22 4 44 6 +5 0 0.0000 0.0001 0.0000 16.278 5.325 45 9 13 4 0.0000 0.0001 0.0000 14.546 4.633 45 9 44 6 +6 0 0.0000 0.0002 0.0000 17.203 5.529 20 7 16 6 0.0000 0.0002 0.0000 14.926 4.761 20 7 44 6 +7 0 0.0000 0.0007 0.0000 17.852 5.727 21 7 23 8 0.0000 0.0007 0.0000 15.292 4.882 21 7 44 6 +8 0 0.0000 0.0007 0.0000 18.586 5.872 30 7 18 6 0.0000 0.0007 0.0000 15.658 4.992 30 7 44 6 +9 0 0.0000 0.0008 0.0000 19.709 6.104 21 7 32 9 0.0000 0.0008 0.0000 16.063 5.103 21 7 44 6 +10 0 0.0000 0.0017 0.0000 21.210 6.354 42 7 11 6 0.0000 0.0017 0.0000 16.531 5.217 42 7 44 6 +11 0 0.0001 0.0024 0.0000 24.192 6.764 45 7 56 17 0.0000 0.0024 0.0000 17.169 5.346 45 7 44 6 +12 0 0.0002 0.0033 0.0000 30.815 7.640 33 7 37 12 0.0001 0.0033 0.0000 18.219 5.522 33 7 44 6 +13 0 0.0004 0.0038 0.0000 37.282 8.568 31 6 30 6 0.0001 0.0038 0.0000 19.580 5.740 31 6 44 6 +14 0 0.0005 0.0039 0.0000 41.065 9.129 30 7 26 7 0.0001 0.0039 0.0000 21.013 5.966 30 7 44 6 +15 0 0.0006 0.0055 0.0000 45.389 9.688 42 8 57 13 0.0001 0.0055 0.0000 22.536 6.198 42 8 44 6 +16 0 0.0007 0.0061 0.0000 49.160 10.070 40 8 40 10 0.0002 0.0061 0.0000 24.102 6.426 40 8 44 6 +17 0 0.0008 0.0061 0.0000 53.479 10.476 40 8 44 8 0.0002 0.0061 0.0000 25.734 6.651 40 8 44 6 +18 0 0.0010 0.0047 0.0000 58.085 10.909 36 8 67 11 0.0002 0.0061 0.0000 27.437 6.875 40 8 44 6 +19 0 0.0011 0.0053 0.0000 61.665 11.270 27 6 86 16 0.0003 0.0061 0.0000 29.148 7.095 40 8 44 6 +20 0 0.0013 0.0063 0.0000 65.545 11.700 50 11 50 13 0.0003 0.0063 0.0000 30.882 7.314 50 11 44 6 +21 0 0.0014 0.0062 0.0000 68.801 12.003 127 16 115 17 0.0004 0.0063 0.0000 32.605 7.527 50 11 44 6 +22 0 0.0015 0.0063 0.0000 72.036 12.283 61 12 98 14 0.0004 0.0063 0.0000 34.320 7.734 50 11 44 6 +23 0 0.0015 0.0065 0.0000 74.597 12.453 65 12 89 16 0.0005 0.0065 0.0000 35.998 7.931 65 12 44 6 +24 0 0.0017 0.0077 0.0000 77.609 12.661 36 8 128 17 0.0005 0.0077 0.0000 37.662 8.120 36 8 44 6 +25 0 0.0019 0.0081 0.0000 82.365 12.903 39 10 146 17 0.0006 0.0081 0.0000 39.382 8.304 39 10 44 6 +26 0 0.0022 0.0082 0.0000 87.425 13.149 39 11 68 13 0.0006 0.0082 0.0000 41.161 8.483 39 11 44 6 +27 0 0.0025 0.0077 0.0000 94.369 13.435 36 8 90 12 0.0007 0.0082 0.0000 43.061 8.660 39 11 44 6 +28 0 0.0029 0.0077 0.0000 102.535 13.772 36 8 175 16 0.0008 0.0082 0.0000 45.112 8.836 39 11 44 6 +29 0 0.0033 0.0078 0.0000 108.372 13.914 37 8 141 16 0.0009 0.0082 0.0000 47.221 9.006 39 11 44 6 +30 0 0.0037 0.0082 0.0000 113.453 14.119 39 8 102 13 0.0010 0.0082 0.0000 49.357 9.171 39 11 44 6 +31 0 0.0039 0.0091 0.0000 116.996 14.243 49 12 34 7 0.0010 0.0091 0.0000 51.471 9.329 49 12 44 6 +32 0 0.0040 0.0091 0.0000 118.621 14.296 49 12 151 14 0.0011 0.0091 0.0000 53.506 9.480 49 12 44 6 +33 0 0.0040 0.0108 0.0000 119.593 14.341 47 12 130 17 0.0012 0.0108 0.0000 55.450 9.623 47 12 44 6 +34 0 0.0041 0.0087 0.0000 122.366 14.531 46 12 144 16 0.0013 0.0108 0.0000 57.362 9.763 47 12 44 6 +35 0 0.0040 0.0077 0.0000 122.850 14.501 36 8 179 15 0.0014 0.0108 0.0000 59.181 9.895 47 12 44 6 +36 0 0.0041 0.0081 0.0000 124.428 14.538 47 8 144 17 0.0015 0.0108 0.0000 60.944 10.020 47 12 44 6 +37 0 0.0042 0.0080 0.0000 126.322 14.591 40 11 80 12 0.0015 0.0108 0.0000 62.665 10.140 47 12 44 6 +38 0 0.0042 0.0078 0.0000 128.071 14.684 46 8 133 16 0.0016 0.0108 0.0000 64.342 10.257 47 12 44 6 +39 0 0.0042 0.0080 0.0000 129.149 14.733 46 8 191 16 0.0017 0.0108 0.0000 65.962 10.369 47 12 44 6 +40 0 0.0042 0.0103 0.0000 128.986 14.752 35 8 132 15 0.0017 0.0108 0.0000 67.499 10.476 47 12 44 6 +41 0 0.0042 0.0078 0.0000 130.367 14.772 153 16 26 7 0.0018 0.0108 0.0000 68.996 10.578 47 12 44 6 +42 0 0.0042 0.0078 0.0000 131.274 14.777 153 16 143 13 0.0018 0.0108 0.0000 70.444 10.676 47 12 44 6 +43 0 0.0043 0.0079 0.0000 132.578 14.852 88 13 122 16 0.0019 0.0108 0.0000 71.856 10.770 47 12 44 6 +44 0 0.0042 0.0079 0.0000 132.494 14.793 71 9 158 16 0.0019 0.0108 0.0000 73.204 10.860 47 12 44 6 +45 0 0.0042 0.0078 0.0000 132.663 14.819 167 17 128 15 0.0020 0.0108 0.0000 74.496 10.946 47 12 44 6 +46 0 0.0043 0.0079 0.0000 134.833 14.914 49 14 61 10 0.0020 0.0108 0.0000 75.780 11.030 47 12 44 6 +47 0 0.0043 0.0078 0.0000 136.362 14.968 38 8 145 15 0.0021 0.0108 0.0000 77.042 11.112 47 12 44 6 +48 0 0.0043 0.0082 0.0000 137.424 14.997 37 8 49 9 0.0021 0.0108 0.0000 78.275 11.192 47 12 44 6 +49 0 0.0043 0.0080 0.0000 139.048 15.109 129 16 10 4 0.0022 0.0108 0.0000 79.490 11.270 47 12 44 6 +50 0 0.0043 0.0078 0.0000 140.019 15.159 38 8 198 17 0.0022 0.0108 0.0000 80.677 11.346 47 12 44 6 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.sys new file mode 100644 index 0000000..26e4969 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_0/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 165. +creating initial population(s): + 5583 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 402625905 + freed: 401623305 + not freed: 1002600 + max allocated: 15326708 + malloc'ed blocks: 749964 + realloc'ed blocks: 13 + free'ed blocks: 749814 + +------- time ------- + overall: 8s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 144642 + freed: 144642 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.bst new file mode 100644 index 0000000..1a8fdec --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.bst @@ -0,0 +1,31 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 62 + depth: 15 + hits: 46 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 46 + raw fitness: 9.4189 + standardized fitness: 9.4189 + adjusted fitness: 0.0960 +TREE: + (+ (+ (* (- (- (* (+ 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0.39523 0.48122)))) + (cos (exp 0.26335))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 15 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7257.9122 + standardized fitness: 7257.9122 + adjusted fitness: 0.0001 +TREE: + (* (* (/ (* x x) + (sin -0.55174)) + (* x + (* x -0.95925))) + (sin 0.49923)) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 19 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6111.2769 + standardized fitness: 6111.2769 + adjusted fitness: 0.0002 +TREE: + (log (exp (* (- (/ x x) + (/ x -0.13773)) + (* x + (* (log (+ 0.66486 x)) + (log x)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 19 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6111.2769 + standardized fitness: 6111.2769 + adjusted fitness: 0.0002 +TREE: + (log (exp (* (- (/ x x) + (/ x -0.13773)) + (* x + (* (log (+ 0.66486 x)) + (log x)))))) +=== 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raw fitness: 33.1676 + standardized fitness: 33.1676 + adjusted fitness: 0.0293 +TREE: + (+ (+ (* (- (- (* (* x x) + (+ 0.89635 x)) + (* x x)) + (* -0.25649 x)) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 71 + depth: 14 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 26.9409 + standardized fitness: 26.9409 + adjusted fitness: 0.0358 +TREE: + (+ (+ (* (- (- (* (+ (* (- (cos (/ x + (- x + (exp (- x -0.59986))))) + (cos (exp (cos (exp 0.05571))))) 0.09773) + (+ (* x x) + (exp (cos (* x + (cos (/ 0.08776 x))))))) + (+ 0.89635 x)) + (* x x)) + (cos (exp (/ (- x -0.59986) + (+ 0.89635 x))))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 45 + depth: 8 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 21.0303 + 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fitness: 13.0796 + adjusted fitness: 0.0710 +TREE: + (+ (+ (* (- (- (* (+ (* (- x + (cos (+ 0.89635 x))) 0.09773) + (+ (* x x) + (exp (cos (* x + (exp 0.05571)))))) + (+ 0.89635 x)) + (* x x)) + (cos (* (+ (* (- (- (* (* x + (+ 0.89635 x)) x) + (* x x)) + (cos (exp (/ (exp x) + (+ x 0.34946))))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) 0.09773))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 42 + generation: 42 + nodes: 81 + depth: 15 + hits: 22 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 22 + raw fitness: 12.4963 + standardized fitness: 12.4963 + adjusted fitness: 0.0741 +TREE: + (+ (+ (* (- (- (* (+ (* (- (sin (- (cos (* x + (cos (/ -0.31664 x)))) + (/ x 0.80885))) + (cos (* (/ (* (log (log -0.65817)) + (/ -0.51256 + (- x x))) 0.46850) + (* (* x x) + (+ 0.89635 x))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 43 + generation: 43 + nodes: 72 + depth: 14 + hits: 25 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 25 + raw fitness: 12.0615 + standardized fitness: 12.0615 + adjusted fitness: 0.0766 +TREE: + (+ (+ (* (- (- (* (+ (* (- (sin (sin (+ (sin (sin -0.86958)) + (exp (/ x x))))) + (cos (* (/ (sin x) 0.46850) + (* (* x x) + (+ 0.89635 x))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 44 + generation: 44 + nodes: 64 + depth: 13 + hits: 21 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 21 + raw fitness: 11.6277 + standardized fitness: 11.6277 + adjusted fitness: 0.0792 +TREE: + (+ (+ (* (- (- (* (+ (* (- (exp 0.17404) + (cos (* (/ (sin x) 0.46850) + (* (* x x) + (+ 0.89635 x))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 45 + generation: 45 + nodes: 79 + depth: 15 + hits: 29 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 29 + raw fitness: 11.2873 + standardized fitness: 11.2873 + adjusted fitness: 0.0814 +TREE: + (+ (+ (* (- (- (* (+ (* (- (log (+ (log (/ x 0.55221)) + (cos (/ x x)))) + (cos (* (/ (* (log (log -0.65817)) + (/ -0.51256 + (- x x))) 0.46850) + (* (* x x) + (+ 0.89635 x))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 70 + depth: 14 + hits: 38 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 38 + raw fitness: 10.7468 + standardized fitness: 10.7468 + adjusted fitness: 0.0851 +TREE: + (+ (+ (* (- (- (* (+ (* (- (sin (exp (cos (- (- 0.89454 0.33762) + (+ -0.19871 -0.66671))))) + (cos (* (cos (/ -0.31664 x)) + (* x + (+ 0.89635 x))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 47 + generation: 47 + nodes: 85 + depth: 16 + hits: 39 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 39 + raw fitness: 10.5055 + standardized fitness: 10.5055 + adjusted fitness: 0.0869 +TREE: + (+ (+ (* (- (- (* (+ (* (- (log (+ (log (/ x 0.55221)) + (cos (/ x x)))) + (cos (* (exp (cos (- (* (exp 0.81989) + (+ 0.89635 x)) x))) + (* (* x x) + (cos (+ (* (log -0.59689) + (log x)) + (log (exp x)))))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 48 + generation: 47 + nodes: 85 + depth: 16 + hits: 39 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 39 + raw fitness: 10.5055 + standardized fitness: 10.5055 + adjusted fitness: 0.0869 +TREE: + (+ (+ (* (- (- (* (+ (* (- (log (+ (log (/ x 0.55221)) + (cos (/ x x)))) + (cos (* (exp (cos (- (* (exp 0.81989) + (+ 0.89635 x)) x))) + (* (* x x) + (cos (+ (* (log -0.59689) + (log x)) + (log (exp x)))))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 49 + generation: 47 + nodes: 85 + depth: 16 + hits: 39 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 39 + raw fitness: 10.5055 + standardized fitness: 10.5055 + adjusted fitness: 0.0869 +TREE: + (+ (+ (* (- (- (* (+ (* (- (log (+ (log (/ x 0.55221)) + (cos (/ x x)))) + (cos (* (exp (cos (- (* (exp 0.81989) + (+ 0.89635 x)) x))) + (* (* x x) + (cos (+ (* (log -0.59689) + (log x)) + (log (exp x)))))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 62 + depth: 15 + hits: 46 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 46 + raw fitness: 9.4189 + standardized fitness: 9.4189 + adjusted fitness: 0.0960 +TREE: + (+ (+ (* (- (- (* (+ (* (- (/ 0.08587 0.23394) + (cos (* x + (sin (cos (- (sin -0.05232) + (sin x))))))) 0.09773) + (+ (* x x) + (exp (cos (+ 0.37437 x))))) + (+ 0.89635 x)) + (* x x)) + (sin (+ 0.89635 x))) 0.09773) + (+ (* x + (cos (/ -0.31664 x))) + (* x x))) + (* (* (* x x) + (+ 0.89635 x)) x)) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.prg new file mode 100644 index 0000000..2085d78 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -1.61119, y = 3.54108 + x = -0.48656, y = -0.30896 + x = 0.66357, y = 1.58995 + x = -1.12649, y = 0.32331 + x = -4.97963, y = 511.21612 + x = 0.74206, y = 2.00457 + x = 3.66729, y = 247.31329 + x = -3.12327, y = 71.32124 + x = 2.00583, y = 30.28692 + x = 0.47856, y = 0.86963 + x = 3.65841, y = 245.13811 + x = 2.10702, y = 35.61042 + x = 1.12717, y = 5.44395 + x = 0.59236, y = 1.27424 + x = -3.60790, y = 131.88585 + x = 0.95616, y = 3.58042 + x = 2.39456, y = 54.73642 + x = -3.70478, y = 147.55717 + x = -1.40823, y = 1.71494 + x = -0.53585, y = -0.32013 + x = 3.95590, y = 326.40875 + x = -3.97944, y = 199.61455 + x = 4.85181, y = 696.73606 + x = 2.93755, y = 111.37788 + x = 0.24711, y = 0.32700 + x = -0.26825, y = -0.21042 + x = -1.72032, y = 4.90652 + x = -2.27558, y = 17.93348 + x = -2.96455, y = 57.00870 + x = 4.30544, y = 446.26447 + x = 3.61026, y = 233.58579 + x = -2.67351, y = 36.45362 + x = 1.74229, y = 19.28129 + x = -2.88623, y = 50.79516 + x = 2.15830, y = 38.57003 + x = 1.68781, y = 17.45969 + x = -3.40491, y = 103.12183 + x = 1.48139, y = 11.74270 + x = 1.56251, y = 13.77936 + x = -2.18794, y = 15.04154 + x = -0.97017, y = -0.05618 + x = -3.86618, y = 176.71601 + x = 4.59212, y = 567.20176 + x = 2.19944, y = 41.07854 + x = 1.27337, y = 7.58869 + x = 4.25641, y = 427.71282 + x = -2.52269, y = 28.28696 + x = 1.93031, y = 26.73272 + x = 0.97267, y = 3.73405 + x = -2.69884, y = 37.98039 + x = -4.02295, y = 208.97876 + x = -4.57596, y = 359.00279 + x = -3.83460, y = 170.69705 + x = 2.93201, y = 110.63720 + x = 2.98372, y = 117.70543 + x = -3.93768, y = 190.92852 + x = 2.77115, y = 90.70252 + x = -1.45020, y = 2.02597 + x = 1.71520, y = 18.35808 + x = -1.66744, y = 4.20723 + x = -0.85302, y = -0.21660 + x = -2.81410, y = 45.53283 + x = 0.31422, y = 0.45372 + x = -0.80622, y = -0.25777 + x = -3.55127, y = 123.32374 + x = 2.52460, y = 65.61176 + x = 2.51490, y = 64.74813 + x = 3.92773, y = 317.94240 + x = 4.31899, y = 451.49921 + x = -2.86431, y = 49.15024 + x = -1.52115, y = 2.62707 + x = -4.53575, y = 345.97297 + x = 0.32255, y = 0.47098 + x = -3.70939, y = 148.33559 + x = -1.51290, y = 2.55209 + x = 3.53186, y = 215.66399 + x = 4.85516, y = 698.54446 + x = -3.08020, y = 67.19916 + x = 4.95382, y = 753.29218 + x = -0.81520, y = -0.25076 + x = 1.96060, y = 28.11688 + x = 4.72988, y = 633.41577 + x = 1.00922, y = 4.09302 + x = 3.70289, y = 256.18840 + x = 0.15846, y = 0.18818 + x = 1.42436, y = 10.45903 + x = 2.01228, y = 30.60621 + x = -2.45149, y = 24.94312 + x = -4.33496, y = 286.12956 + x = 4.63370, y = 586.60914 + x = 4.17291, y = 397.46707 + x = -2.33264, y = 20.02314 + x = 2.16239, y = 38.81401 + x = -0.57318, y = -0.32502 + x = 4.33321, y = 457.03657 + x = -1.43442, y = 1.90529 + x = 0.81126, y = 2.43649 + x = 3.30151, y = 168.99622 + x = -1.28766, y = 0.98455 + x = 2.74151, y = 87.35031 + x = 4.40124, y = 484.26253 + x = -4.44248, y = 317.11454 + x = 1.97649, y = 28.86489 + x = -3.21213, y = 80.42027 + x = 0.34056, y = 0.50948 + x = -3.75283, y = 155.82911 + x = -0.58517, y = -0.32587 + x = -2.53749, y = 29.02164 + x = -2.22645, y = 16.26661 + x = -3.44064, y = 107.80565 + x = -0.94996, y = -0.09043 + x = 0.22264, y = 0.28571 + x = -2.11524, y = 12.91384 + x = 2.08150, y = 34.20438 + x = -0.84035, y = -0.22891 + x = -3.52038, y = 118.83225 + x = 0.02351, y = 0.02407 + x = -4.11260, y = 229.30850 + x = -0.13943, y = -0.12232 + x = 2.88315, y = 104.26060 + x = -3.28666, y = 88.69898 + x = 4.21340, y = 411.92493 + x = 0.21539, y = 0.27392 + x = -3.42251, y = 105.40933 + x = -2.26555, y = 17.58359 + x = -2.07866, y = 11.93029 + x = -1.51224, y = 2.54609 + x = -1.46531, y = 2.14583 + x = 0.95006, y = 3.52491 + x = -2.76007, y = 41.86559 + x = -0.88297, y = -0.18390 + x = 2.39265, y = 54.58800 + x = 4.14625, y = 388.16026 + x = 3.39447, y = 186.79475 + x = -4.86524, y = 463.93818 + x = -3.26205, y = 85.89745 + x = 1.84513, y = 23.12200 + x = 3.92772, y = 317.93824 + x = -0.45676, y = -0.29990 + x = -1.32116, y = 1.16492 + x = -3.59914, y = 130.53372 + x = 1.12488, y = 5.41469 + x = 2.68794, y = 81.53411 + x = -2.21811, y = 15.99529 + x = 2.92037, y = 109.09144 + x = 4.95951, y = 756.54190 + x = 2.45197, y = 59.35170 + x = 0.58491, y = 1.24416 + x = -3.30763, y = 91.13864 + x = 1.41187, y = 10.19319 + x = -4.92218, y = 487.04164 + x = -2.72342, y = 39.50627 + x = -2.64855, y = 34.99500 + x = -3.52758, y = 119.86892 + x = -1.37553, y = 1.49388 + x = -2.99141, y = 59.26439 + x = -3.58873, y = 128.93957 + x = 3.58202, y = 227.00493 + x = -3.34689, y = 95.84149 + x = -1.39740, y = 1.63970 + x = -0.59796, y = -0.32636 + x = 0.48711, y = 0.89627 + x = 2.91927, y = 108.94718 + x = 4.09471, y = 370.63682 + x = -4.84150, y = 454.55221 + x = 2.92516, y = 109.72617 + x = 2.53471, y = 66.52156 + x = -4.89713, y = 476.77466 + x = 4.16113, y = 393.33683 + x = -0.79985, y = -0.26251 + x = -0.97235, y = -0.05231 + x = 4.43860, y = 499.72232 + x = 4.19503, y = 405.31759 + x = 3.44870, y = 197.81576 + x = 2.80533, y = 94.68800 + x = 4.43676, y = 498.95141 + x = 1.86195, y = 23.80311 + x = -1.25703, y = 0.83362 + x = 2.95301, y = 113.46780 + x = -4.27414, y = 269.64409 + x = -3.48993, y = 114.52690 + x = -0.09426, y = -0.08613 + x = -3.11843, y = 70.84814 + x = -2.65255, y = 35.22544 + x = 2.83789, y = 98.60759 + x = 3.62992, y = 238.25061 + x = 4.47338, y = 514.44630 + x = -4.94846, y = 497.99199 + x = 3.23596, y = 157.24424 + x = -2.79040, y = 43.89619 + x = -0.79675, y = -0.26474 + x = 1.74226, y = 19.28049 + x = 4.76658, y = 651.99729 + x = -4.65691, y = 386.35379 + x = 4.65118, y = 594.91501 + x = -3.03775, y = 63.31220 + x = 1.92985, y = 26.71203 + x = 4.23924, y = 421.35577 + x = -0.02344, y = -0.02291 + x = 3.48361, y = 205.16529 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.stt new file mode 100644 index 0000000..0a88166 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.716 3.642 12 6 20 6 0.0000 0.0001 0.0000 12.716 3.642 12 6 20 6 +1 0 0.0000 0.0001 0.0000 13.071 4.139 18 5 8 4 0.0000 0.0001 0.0000 12.893 3.891 18 5 20 6 +2 0 0.0000 0.0001 0.0000 13.651 4.449 15 4 30 8 0.0000 0.0001 0.0000 13.146 4.077 15 4 20 6 +3 0 0.0000 0.0002 0.0000 14.331 4.707 19 7 24 7 0.0000 0.0002 0.0000 13.442 4.235 19 7 20 6 +4 0 0.0000 0.0001 0.0000 15.010 4.960 16 6 10 5 0.0000 0.0002 0.0000 13.756 4.380 19 7 20 6 +5 0 0.0000 0.0002 0.0000 15.588 5.195 15 5 6 4 0.0000 0.0002 0.0000 14.061 4.516 15 5 20 6 +6 0 0.0000 0.0002 0.0000 16.230 5.387 18 5 7 5 0.0000 0.0002 0.0000 14.371 4.640 18 5 20 6 +7 0 0.0000 0.0006 0.0000 16.605 5.503 16 5 19 9 0.0000 0.0006 0.0000 14.650 4.748 16 5 20 6 +8 0 0.0000 0.0006 0.0000 17.462 5.702 11 4 24 10 0.0000 0.0006 0.0000 14.963 4.854 11 4 20 6 +9 0 0.0000 0.0006 0.0000 17.826 5.853 11 4 16 6 0.0000 0.0006 0.0000 15.249 4.954 11 4 20 6 +10 0 0.0000 0.0006 0.0000 18.513 5.977 13 5 7 4 0.0000 0.0006 0.0000 15.546 5.047 13 5 20 6 +11 0 0.0001 0.0008 0.0000 20.833 6.304 16 4 67 12 0.0000 0.0008 0.0000 15.986 5.152 16 4 20 6 +12 0 0.0001 0.0008 0.0000 27.106 6.926 13 4 34 9 0.0000 0.0008 0.0000 16.842 5.288 13 4 20 6 +13 0 0.0002 0.0011 0.0000 35.818 7.934 26 8 50 9 0.0001 0.0011 0.0000 18.197 5.477 26 8 20 6 +14 0 0.0002 0.0011 0.0000 41.490 8.660 26 8 31 8 0.0001 0.0011 0.0000 19.750 5.689 26 8 20 6 +15 0 0.0003 0.0013 0.0000 44.048 9.093 70 13 48 10 0.0001 0.0013 0.0000 21.269 5.902 70 13 20 6 +16 0 0.0003 0.0014 0.0000 45.578 9.462 43 7 21 7 0.0001 0.0014 0.0000 22.699 6.111 43 7 20 6 +17 0 0.0004 0.0021 0.0000 46.893 9.751 43 10 85 16 0.0001 0.0021 0.0000 24.043 6.314 43 10 20 6 +18 0 0.0004 0.0023 0.0000 48.342 10.002 39 8 120 17 0.0001 0.0023 0.0000 25.322 6.508 39 8 20 6 +19 0 0.0004 0.0026 0.0000 50.326 10.401 58 11 46 11 0.0001 0.0026 0.0000 26.572 6.702 58 11 20 6 +20 0 0.0005 0.0213 0.0000 52.304 10.654 44 8 44 9 0.0002 0.0213 0.0000 27.797 6.891 44 8 20 6 +21 0 0.0006 0.0237 0.0000 54.253 10.929 40 7 100 17 0.0002 0.0237 0.0000 29.000 7.074 40 7 20 6 +22 0 0.0009 0.0244 0.0000 55.059 10.965 75 15 52 10 0.0002 0.0244 0.0000 30.133 7.243 75 15 20 6 +23 0 0.0028 0.0293 0.0000 53.199 10.514 38 7 13 4 0.0003 0.0293 0.0000 31.094 7.380 38 7 20 6 +24 0 0.0057 0.0358 0.0000 50.786 10.106 71 14 54 11 0.0005 0.0358 0.0000 31.882 7.489 71 14 20 6 +25 0 0.0075 0.0454 0.0000 52.558 10.563 45 8 63 13 0.0008 0.0454 0.0000 32.677 7.607 45 8 20 6 +26 0 0.0086 0.0452 0.0000 56.132 11.262 47 8 16 5 0.0011 0.0454 0.0000 33.546 7.742 45 8 20 6 +27 0 0.0096 0.0473 0.0000 58.442 11.663 56 9 51 11 0.0014 0.0473 0.0000 34.435 7.882 56 9 20 6 +28 0 0.0102 0.0473 0.0000 61.159 12.084 56 9 82 15 0.0017 0.0473 0.0000 35.356 8.027 56 9 20 6 +29 0 0.0108 0.0465 0.0000 63.162 12.343 91 14 48 10 0.0020 0.0473 0.0000 36.283 8.171 56 9 20 6 +30 0 0.0108 0.0483 0.0000 65.238 12.491 56 9 125 17 0.0023 0.0483 0.0000 37.217 8.310 56 9 20 6 +31 0 0.0116 0.0504 0.0000 67.260 12.708 92 14 52 13 0.0026 0.0504 0.0000 38.156 8.448 92 14 20 6 +32 0 0.0123 0.0504 0.0000 68.748 12.872 92 14 73 14 0.0029 0.0504 0.0000 39.083 8.582 92 14 20 6 +33 0 0.0128 0.0498 0.0000 70.500 12.986 92 14 57 13 0.0032 0.0504 0.0000 40.007 8.711 92 14 20 6 +34 0 0.0134 0.0531 0.0000 72.546 13.119 59 12 115 13 0.0035 0.0531 0.0000 40.937 8.837 59 12 20 6 +35 0 0.0145 0.0544 0.0000 75.309 13.416 86 13 69 17 0.0038 0.0544 0.0000 41.892 8.965 86 13 20 6 +36 0 0.0156 0.0552 0.0000 77.222 13.512 71 13 97 16 0.0041 0.0552 0.0000 42.846 9.087 71 13 20 6 +37 0 0.0155 0.0604 0.0000 77.958 13.468 69 13 44 9 0.0044 0.0604 0.0000 43.770 9.203 69 13 20 6 +38 0 0.0169 0.0657 0.0000 81.033 13.787 88 13 54 12 0.0047 0.0657 0.0000 44.726 9.320 88 13 20 6 +39 0 0.0177 0.0710 0.0000 82.084 13.750 87 13 121 16 0.0050 0.0710 0.0000 45.660 9.431 87 13 20 6 +40 0 0.0185 0.0674 0.0000 84.480 13.883 70 13 87 15 0.0054 0.0710 0.0000 46.607 9.540 87 13 20 6 +41 0 0.0192 0.0686 0.0000 85.340 13.965 77 15 143 15 0.0057 0.0710 0.0000 47.529 9.645 87 13 20 6 +42 0 0.0200 0.0741 0.0000 86.974 14.020 81 15 117 14 0.0060 0.0741 0.0000 48.446 9.747 81 15 20 6 +43 0 0.0205 0.0766 0.0000 88.531 14.173 72 14 121 17 0.0064 0.0766 0.0000 49.357 9.847 72 14 20 6 +44 0 0.0213 0.0792 0.0000 89.986 14.229 64 13 78 17 0.0067 0.0792 0.0000 50.260 9.945 64 13 20 6 +45 0 0.0221 0.0814 0.0000 91.300 14.311 79 15 108 15 0.0070 0.0814 0.0000 51.152 10.040 79 15 20 6 +46 0 0.0222 0.0851 0.0000 92.261 14.344 70 14 132 17 0.0073 0.0851 0.0000 52.027 10.131 70 14 20 6 +47 0 0.0232 0.0869 0.0000 94.659 14.495 85 16 116 16 0.0077 0.0869 0.0000 52.915 10.222 85 16 20 6 +48 0 0.0239 0.0823 0.0000 95.990 14.532 88 17 74 15 0.0080 0.0869 0.0000 53.794 10.310 85 16 20 6 +49 0 0.0248 0.0868 0.0000 98.330 14.582 75 15 76 15 0.0083 0.0869 0.0000 54.685 10.395 85 16 20 6 +50 0 0.0258 0.0960 0.0000 101.301 14.678 62 15 123 17 0.0087 0.0960 0.0000 55.599 10.479 62 15 20 6 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.sys new file mode 100644 index 0000000..a6fc8f8 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 129. +creating initial population(s): + 5633 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 282055701 + freed: 281053101 + not freed: 1002600 + max allocated: 11541980 + malloc'ed blocks: 748601 + realloc'ed blocks: 12 + free'ed blocks: 748451 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 144268 + freed: 144268 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.bst new file mode 100644 index 0000000..3a5c61f --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.bst @@ -0,0 +1,23 @@ +=== BEST-OF-RUN === + generation: 27 + nodes: 27 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 1.8510 + standardized fitness: 1.8510 + adjusted fitness: 0.3508 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) x)) + (- (+ 0.99455 -0.46084) + (+ (log (log -0.18460)) + (+ (* x x) x)))) +TREE-equ: +y = ((((x * x) * (x / x)) * ((x * x) + x)) - ((0.99455 + -0.46084) - (log(log(-0.18460)) + ((x * x) + x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.fn new file mode 100644 index 0000000..31c3190 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * x) * (x / x)) * ((x * x) + x)) - ((0.99455 + -0.46084) - (log(log(-0.18460)) + ((x * x) + x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.gen new file mode 100644 index 0000000000000000000000000000000000000000..0f338f081c079bd8244fd04b444352536634e63c GIT binary patch literal 8192 zcmd5>OK;mo5N>lM;Px*p&_m@IqV`3KbdZDNN9rJs-AFE61gJrBml9)&R7lFP(sO(6 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7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 4 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 5 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 6 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 7 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 8 + generation: 0 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7057.5460 + standardized fitness: 7057.5460 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 9 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6871.7895 + standardized fitness: 6871.7895 + adjusted fitness: 0.0001 +TREE: + (* (+ (* (* x x) x) x) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 9 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6871.7895 + standardized fitness: 6871.7895 + adjusted fitness: 0.0001 +TREE: + (* (+ (* (* x x) x) x) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 25 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6870.9082 + standardized fitness: 6870.9082 + adjusted fitness: 0.0001 +TREE: + (+ (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (log x)))) + (* -0.57016 + (cos (- x + (log (exp (cos x))))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 21 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6867.7505 + standardized fitness: 6867.7505 + adjusted fitness: 0.0001 +TREE: + (+ (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (log x)))) + (* -0.57016 + (* -0.09917 -0.67900))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 16 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4094.8616 + standardized fitness: 4094.8616 + adjusted fitness: 0.0002 +TREE: + (+ (* (exp x) + (exp (exp 0.57190))) + (exp (- (cos -0.14114) + (- -0.73038 + (- -0.73038 x))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 36 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3636.4000 + standardized fitness: 3636.4000 + adjusted fitness: 0.0003 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (+ (* (+ (+ (* -0.76520 0.18227) + (exp x)) x) + (* 0.73233 x)) 0.43895)))) + (- (sin (sin (exp (sin x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 37 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3550.2850 + standardized fitness: 3550.2850 + adjusted fitness: 0.0003 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (+ (* (+ (+ (* -0.76520 0.18227) + (exp x)) x) + (* 0.73233 x)) + (log 0.54301))))) + (- (sin (sin (exp (sin x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 16 + generation: 15 + nodes: 37 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3550.2850 + standardized fitness: 3550.2850 + adjusted fitness: 0.0003 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (+ (* (+ (+ (* -0.76520 0.18227) + (exp x)) x) + (* 0.73233 x)) + (log 0.54301))))) + (- (sin (sin (exp (sin x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 17 + generation: 15 + nodes: 37 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3550.2850 + standardized fitness: 3550.2850 + adjusted fitness: 0.0003 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (+ (* (+ (+ (* -0.76520 0.18227) + (exp x)) x) + (* 0.73233 x)) + (log 0.54301))))) + (- (sin (sin (exp (sin x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 47 + depth: 11 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 3472.1917 + standardized fitness: 3472.1917 + adjusted fitness: 0.0003 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (sin (+ (* (+ (+ (* -0.76520 0.18227) + (exp x)) + (/ (* (sin (cos x)) + (cos x)) + (exp (exp (cos x))))) + (* 0.73233 x)) + (log 0.54301))))) + (- (sin (sin (exp (sin x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1070.5147 + standardized fitness: 1070.5147 + adjusted fitness: 0.0009 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (- (cos -0.14114) + (- -0.73038 x)))) + (sin (exp (exp (/ 0.17683 -0.35000))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 19 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1070.5147 + standardized fitness: 1070.5147 + adjusted fitness: 0.0009 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (- (cos -0.14114) + (- -0.73038 x)))) + (sin (exp (exp (/ 0.17683 -0.35000))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 19 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1070.5147 + standardized fitness: 1070.5147 + adjusted fitness: 0.0009 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (- (cos -0.14114) + (- -0.73038 x)))) + (sin (exp (exp (/ 0.17683 -0.35000))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 19 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1070.5147 + standardized fitness: 1070.5147 + adjusted fitness: 0.0009 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) + (- (cos -0.14114) + (- -0.73038 x)))) + (sin (exp (exp (/ 0.17683 -0.35000))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 26 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 514.2469 + standardized fitness: 514.2469 + adjusted fitness: 0.0019 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) x)) + (- (sin (sin (exp -0.78049))) + (* (* x x) + (/ x x)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 29 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 494.4295 + standardized fitness: 494.4295 + adjusted fitness: 0.0020 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) x)) + (- (sin (sin (+ x + (exp (cos -0.14114))))) + (* (* x x) + (/ x x)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 37 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 138.2381 + standardized fitness: 138.2381 + adjusted fitness: 0.0072 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) x)) + (- (sin (+ (- 0.89140 + (log -0.48900)) + (exp (- (cos -0.14114) + (- -0.73038 x))))) + (+ x + (* (* x x) + (/ x x))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 27 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6.4967 + standardized fitness: 6.4967 + adjusted fitness: 0.1334 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) x)) + (- (+ 0.22247 -0.18999) + (+ x + (* (* x x) + (/ x x))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 27 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 1.8510 + standardized fitness: 1.8510 + adjusted fitness: 0.3508 +TREE: + (- (* (* (* x x) + (/ x x)) + (+ (* x x) x)) + (- (+ 0.99455 -0.46084) + (+ (log (log -0.18460)) + (+ (* x x) x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.prg new file mode 100644 index 0000000..75e28ac --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -1.54609, y = 2.86250 + x = 3.94630, y = 323.50480 + x = -2.62824, y = 33.83991 + x = -1.98434, y = 9.64454 + x = 4.75087, y = 643.99340 + x = 2.94345, y = 112.17182 + x = 4.16744, y = 395.54665 + x = -3.40278, y = 102.84735 + x = -4.06134, y = 217.51185 + x = 0.07937, y = 0.08621 + x = -2.46906, y = 25.73957 + x = -1.66441, y = 4.16937 + x = 0.53111, y = 1.04257 + x = 3.49079, y = 206.70389 + x = 2.07239, y = 33.71316 + x = -0.31827, y = -0.23895 + x = 0.93679, y = 3.40658 + x = -0.15440, y = -0.13367 + x = 2.42015, y = 56.75800 + x = 4.24704, y = 424.23383 + x = 4.41026, y = 487.96015 + x = -4.10334, y = 227.14250 + x = -3.78555, y = 161.65720 + x = 4.03703, y = 351.74168 + x = -2.70979, y = 38.65431 + x = 2.24612, y = 44.07529 + x = 4.97680, y = 766.49215 + x = -0.05568, y = -0.05274 + x = -2.10661, y = 12.67662 + x = 3.87629, y = 302.91641 + x = 2.34058, y = 50.65297 + x = 4.83540, y = 687.94948 + x = -3.33608, y = 94.52913 + x = 4.89911, y = 722.54889 + x = -3.35546, y = 96.89187 + x = 0.30302, y = 0.43110 + x = -1.31851, y = 1.15005 + x = 1.93353, y = 26.87722 + x = 3.05825, y = 128.49198 + x = 3.24513, y = 158.84976 + x = 2.05109, y = 32.58569 + x = -1.15282, y = 0.41029 + x = -2.73940, y = 40.52205 + x = 1.81588, y = 21.97396 + x = -0.91233, y = -0.14656 + x = -2.60252, y = 32.41846 + x = 2.39142, y = 54.49251 + x = -2.63654, y = 34.30859 + x = 4.47840, y = 516.59764 + x = -0.84897, y = -0.22064 + x = 4.09675, y = 371.31787 + x = -2.52398, y = 28.35045 + x = -0.44927, y = -0.29737 + x = -2.34315, y = 20.42660 + x = -3.14345, y = 73.31618 + x = -1.38149, y = 1.53285 + x = 2.28239, y = 46.51793 + x = -2.52735, y = 28.51693 + x = -3.62888, y = 135.16898 + x = -0.55215, y = -0.32267 + x = -0.73804, y = -0.29865 + x = -2.76608, y = 42.26240 + x = -1.46104, y = 2.11148 + x = -2.30647, y = 19.04386 + x = 3.02827, y = 124.06637 + x = 3.68375, y = 251.38883 + x = -3.92502, y = 188.35007 + x = 3.71523, y = 259.32022 + x = -0.59688, y = -0.32634 + x = -0.32509, y = -0.24259 + x = 2.29030, y = 47.06469 + x = -1.42667, y = 1.84770 + x = 0.36721, y = 0.56974 + x = -1.73088, y = 5.05520 + x = -4.84971, y = 457.78318 + x = 1.93424, y = 26.90928 + x = 1.34593, y = 8.87730 + x = 3.55760, y = 221.42839 + x = 2.18048, y = 39.90744 + x = 3.67170, y = 248.40005 + x = 4.96373, y = 758.96315 + x = 2.50415, y = 63.80029 + x = -1.42680, y = 1.84864 + x = 3.44554, y = 197.15980 + x = -0.38566, y = -0.27217 + x = 0.10666, y = 0.11938 + x = 1.29644, y = 7.98114 + x = 3.97039, y = 330.82812 + x = -3.12916, y = 71.89913 + x = -2.03922, y = 10.93161 + x = -0.77196, y = -0.28094 + x = -0.03374, y = -0.03264 + x = -2.46959, y = 25.76407 + x = -1.61666, y = 3.60247 + x = -4.04517, y = 213.88636 + x = -1.52224, y = 2.63706 + x = 3.47998, y = 204.39170 + x = 3.99149, y = 337.34394 + x = 1.66559, y = 16.75664 + x = 2.15343, y = 38.28095 + x = 1.05155, y = 4.54275 + x = 3.83382, y = 290.91936 + x = 0.18297, y = 0.22370 + x = -4.19330, y = 248.84600 + x = -0.81270, y = -0.25276 + x = -3.40740, y = 103.44272 + x = 3.90282, y = 310.59654 + x = 1.10519, y = 5.16850 + x = 3.04251, y = 126.15293 + x = 1.74989, y = 19.54692 + x = 2.32207, y = 49.30861 + x = 3.31199, y = 170.93702 + x = -4.39819, y = 304.06080 + x = 3.41033, y = 189.96968 + x = -4.78019, y = 430.97291 + x = 4.29570, y = 442.53170 + x = 4.70351, y = 620.31020 + x = -4.84438, y = 455.68388 + x = -3.26131, y = 85.81405 + x = -0.44949, y = -0.29744 + x = -4.79622, y = 437.04914 + x = -2.91650, y = 53.13376 + x = -2.95036, y = 55.84313 + x = 2.24969, y = 44.31163 + x = 3.62336, y = 236.68695 + x = 3.45648, y = 199.43606 + x = 3.39035, y = 185.97882 + x = -0.43949, y = -0.29392 + x = 4.08181, y = 366.34673 + x = 3.55769, y = 221.44829 + x = 3.03142, y = 124.52523 + x = -4.75926, y = 423.13909 + x = -4.48491, y = 330.00765 + x = -4.56941, y = 356.85593 + x = -3.65037, y = 138.59438 + x = -3.34826, y = 96.00917 + x = 1.90234, y = 25.50207 + x = 0.16287, y = 0.19442 + x = 3.22573, y = 155.46597 + x = 0.31864, y = 0.46283 + x = 0.40315, y = 0.65762 + x = 1.14082, y = 5.62087 + x = 2.23170, y = 43.13223 + x = 2.32033, y = 49.18347 + x = -2.24299, y = 16.81463 + x = -2.85546, y = 48.49758 + x = -2.08338, y = 12.05391 + x = 0.28071, y = 0.38784 + x = -0.24002, y = -0.19292 + x = -2.50165, y = 27.26637 + x = 0.08741, y = 0.09578 + x = -1.08053, y = 0.18861 + x = 4.90968, y = 728.40847 + x = 3.10790, y = 136.08401 + x = 4.12201, y = 379.84319 + x = 0.81081, y = 2.43344 + x = 3.31873, y = 172.19297 + x = -0.24762, y = -0.19773 + x = 4.45707, y = 507.50136 + x = -2.46444, y = 25.52812 + x = -0.30974, y = -0.23431 + x = -1.26005, y = 0.84793 + x = 2.87947, y = 103.79144 + x = -2.27613, y = 17.95286 + x = -3.65326, y = 139.05931 + x = -3.81875, y = 167.73521 + x = -3.91970, y = 187.27687 + x = -1.71852, y = 4.88154 + x = 0.65333, y = 1.54121 + x = 3.07527, y = 131.05651 + x = 1.37908, y = 9.52080 + x = -0.57720, y = -0.32534 + x = 0.39564, y = 0.63861 + x = 4.24034, y = 421.76381 + x = 4.46310, y = 510.06100 + x = 1.28431, y = 7.77283 + x = -2.82618, y = 46.38444 + x = -1.05827, y = 0.13072 + x = 3.12768, y = 139.20138 + x = -2.18745, y = 15.02615 + x = -4.86225, y = 462.74860 + x = -1.36203, y = 1.40784 + x = 0.10344, y = 0.11536 + x = 1.54625, y = 13.35040 + x = -1.13257, y = 0.34274 + x = -0.70853, y = -0.31019 + x = -2.63873, y = 34.43266 + x = 2.79122, y = 93.02653 + x = 4.08385, y = 367.02214 + x = -4.83162, y = 450.69059 + x = -4.42856, y = 312.96562 + x = -1.37914, y = 1.51741 + x = 4.50954, y = 530.10305 + x = -4.84954, y = 457.71692 + x = 3.93956, y = 321.47672 + x = -4.01965, y = 208.25747 + x = -4.25482, y = 264.55804 + x = 2.99135, y = 118.77690 + x = 2.85723, y = 100.99377 + x = 1.47270, y = 11.53947 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.stt new file mode 100644 index 0000000..2e0d314 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.stt @@ -0,0 +1,29 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.080 3.682 7 2 14 5 0.0000 0.0001 0.0000 13.080 3.682 7 2 14 5 +1 0 0.0000 0.0001 0.0000 13.303 4.164 7 2 5 3 0.0000 0.0001 0.0000 13.191 3.923 7 2 14 5 +2 0 0.0000 0.0001 0.0000 14.172 4.521 30 6 19 9 0.0000 0.0001 0.0000 13.518 4.123 7 2 14 5 +3 0 0.0000 0.0001 0.0000 14.503 4.748 5 3 13 7 0.0000 0.0001 0.0000 13.764 4.279 7 2 14 5 +4 0 0.0000 0.0001 0.0000 15.359 5.024 31 8 10 7 0.0000 0.0001 0.0000 14.083 4.428 7 2 14 5 +5 0 0.0000 0.0001 0.0000 16.261 5.330 31 8 17 6 0.0000 0.0001 0.0000 14.446 4.578 7 2 14 5 +6 0 0.0000 0.0001 0.0000 17.187 5.545 30 8 13 4 0.0000 0.0001 0.0000 14.838 4.716 7 2 14 5 +7 0 0.0000 0.0001 0.0000 18.364 5.765 24 6 21 8 0.0000 0.0001 0.0000 15.279 4.848 7 2 14 5 +8 0 0.0000 0.0001 0.0000 20.439 6.112 96 16 55 11 0.0000 0.0001 0.0000 15.852 4.988 7 2 14 5 +9 0 0.0000 0.0001 0.0000 22.893 6.561 9 4 17 8 0.0000 0.0001 0.0000 16.556 5.145 9 4 14 5 +10 0 0.0000 0.0001 0.0000 26.462 7.181 22 5 78 10 0.0000 0.0001 0.0000 17.457 5.330 9 4 14 5 +11 0 0.0001 0.0001 0.0000 30.475 7.889 25 7 39 8 0.0000 0.0001 0.0000 18.542 5.544 25 7 14 5 +12 0 0.0001 0.0001 0.0000 35.130 8.607 21 5 26 7 0.0000 0.0001 0.0000 19.818 5.779 21 5 14 5 +13 0 0.0001 0.0002 0.0000 39.902 9.254 16 5 11 7 0.0000 0.0002 0.0000 21.252 6.027 16 5 14 5 +14 0 0.0001 0.0003 0.0000 44.135 9.869 36 9 36 9 0.0000 0.0003 0.0000 22.778 6.284 36 9 14 5 +15 0 0.0001 0.0003 0.0000 47.562 10.333 37 9 43 11 0.0000 0.0003 0.0000 24.327 6.537 37 9 14 5 +16 0 0.0001 0.0003 0.0000 49.672 10.552 37 9 56 11 0.0000 0.0003 0.0000 25.818 6.773 37 9 14 5 +17 0 0.0001 0.0003 0.0000 51.653 10.728 43 10 29 7 0.0000 0.0003 0.0000 27.253 6.993 37 9 14 5 +18 0 0.0001 0.0003 0.0000 53.285 10.945 47 11 66 11 0.0000 0.0003 0.0000 28.623 7.201 47 11 14 5 +19 0 0.0001 0.0009 0.0000 53.952 11.002 25 5 30 9 0.0001 0.0009 0.0000 29.890 7.391 25 5 14 5 +20 0 0.0001 0.0006 0.0000 55.265 11.134 28 7 77 12 0.0001 0.0009 0.0000 31.098 7.569 25 5 14 5 +21 0 0.0001 0.0006 0.0000 57.241 11.330 63 14 35 12 0.0001 0.0009 0.0000 32.286 7.740 25 5 14 5 +22 0 0.0001 0.0007 0.0000 57.375 11.322 36 10 38 10 0.0001 0.0009 0.0000 33.377 7.896 25 5 14 5 +23 0 0.0001 0.0019 0.0000 57.937 11.358 26 5 54 11 0.0001 0.0019 0.0000 34.400 8.040 26 5 14 5 +24 0 0.0001 0.0020 0.0000 55.249 11.040 29 7 98 16 0.0001 0.0020 0.0000 35.234 8.160 29 7 14 5 +25 0 0.0002 0.0072 0.0000 51.490 10.590 37 7 63 14 0.0001 0.0072 0.0000 35.860 8.253 37 7 14 5 +26 0 0.0004 0.1334 0.0000 47.097 9.869 27 5 66 10 0.0001 0.1334 0.0000 36.276 8.313 27 5 14 5 +27 0 0.0012 0.3508 0.0000 43.692 9.093 27 5 104 13 0.0001 0.3508 0.0000 36.541 8.341 27 5 14 5 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.sys new file mode 100644 index 0000000..b419a46 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.sys @@ -0,0 +1,134 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 157. +creating initial population(s): + 5650 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 109609882 + freed: 109068478 + not freed: 541404 + max allocated: 7240000 + malloc'ed blocks: 413835 + realloc'ed blocks: 11 + free'ed blocks: 413754 + +------- time ------- + overall: 3s wall + evaluation: 2s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 83683 + freed: 83683 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.bst new file mode 100644 index 0000000..0a2dedc --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.bst @@ -0,0 +1,30 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 43 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1801.6112 + standardized fitness: 1801.6112 + adjusted fitness: 0.0006 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (/ x x)) + (+ 0.20909 + (log x))))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin -0.24597)) +TREE-equ: +y = ((log((exp(x) + (x * (0.90503 + x)))) * ((cos((x - (exp((x / x)) * (0.20909 + log(x))))) - ((x / -0.24597) - (x - (exp((x * cos(log(x)))) + sin(x))))) * x)) - sin(-0.24597)) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.fn new file mode 100644 index 0000000..6c3d57c --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.fn @@ -0,0 +1,2 @@ + +y = ((log((exp(x) + (x * (0.90503 + x)))) * ((cos((x - (exp((x / x)) * (0.20909 + log(x))))) - ((x / -0.24597) - (x - (exp((x * cos(log(x)))) + sin(x))))) * x)) - sin(-0.24597)) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.gen new file mode 100644 index 0000000..12d348e --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.gen @@ -0,0 +1,361 @@ + +--boundary_.oOo._9s6ZzVOfNkoPXMCHg9F3zmevRAC2jNsc +Content-Length: 39179 +Content-Type: application/octet-stream +X-File-MD5: b7e0e0e02cbfa3e365abb92fa815d725 +X-File-Mtime: 1711663724 +X-File-Path: /computerdocs/Brock/CS 4P82/Final Project/FP-C-Project/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.his + +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 12 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 12360.8733 + standardized fitness: 12360.8733 + adjusted fitness: 0.0001 +TREE: + (+ x + (exp (+ x + (log (* (+ x x) + (exp -0.32019)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 18 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11459.2345 + standardized fitness: 11459.2345 + adjusted fitness: 0.0001 +TREE: + (/ (+ (/ (sin (exp 0.17400)) + (exp (- -0.60230 x))) + (log (log (* 0.39523 0.48122)))) + (cos (exp 0.26335))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 15 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7257.9122 + standardized fitness: 7257.9122 + adjusted fitness: 0.0001 +TREE: + (* (* (/ (* x x) + (sin -0.55174)) + (* x + (* x -0.95925))) + (sin 0.49923)) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 19 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6111.2769 + standardized fitness: 6111.2769 + adjusted fitness: 0.0002 +TREE: + (log (exp (* (- (/ x x) + (/ x -0.13773)) + (* x + (* (log (+ 0.66486 x)) + (log x)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 19 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6111.2769 + standardized fitness: 6111.2769 + adjusted fitness: 0.0002 +TREE: + (log (exp (* (- (/ x x) + (/ x -0.13773)) + (* x + (* (log (+ 0.66486 x)) + (log x)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 15 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5080.6011 + standardized fitness: 5080.6011 + adjusted fitness: 0.0002 +TREE: + (+ (/ -0.88670 0.41831) + (* 0.88806 + (* (* (* x x) + (+ 0.89635 x)) x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 18 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 4773.3336 + standardized fitness: 4773.3336 + adjusted fitness: 0.0002 +TREE: + (+ (- (cos (log (exp x))) 0.10872) + (* 0.88806 + (* (* (* x x) + (+ 0.89635 x)) x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 16 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1763.2603 + standardized fitness: 1763.2603 + adjusted fitness: 0.0006 +TREE: + (+ (- (exp x) 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1865.7240 + adjusted fitness: 0.0005 +TREE: + (- (- (cos (sin (+ (cos (- x + (/ (/ (/ (/ x -0.85757) -0.20117) x) + (+ 0.90503 x)))) -0.36512))) + (/ (+ x 0.83637) + (exp x))) + (- x + (* (- (- -0.20250 x) + (+ (exp (* x + (cos (log x)))) + (sin (log (- x + (+ -0.59034 x)))))) + (- (sin 0.97443) + (exp x))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 31 + nodes: 52 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1865.7240 + standardized fitness: 1865.7240 + adjusted fitness: 0.0005 +TREE: + (- (- (cos (sin (+ (cos (- x + (/ (/ (/ (/ x -0.85757) -0.20117) x) + (+ 0.90503 x)))) -0.36512))) + (/ (+ x 0.83637) + (exp x))) + (- x + (* (- (- -0.20250 x) + (+ (exp (* x + (cos (log x)))) + (sin (log (- x + (+ -0.59034 x)))))) + (- (sin 0.97443) + (exp x))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 31 + nodes: 52 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1865.7240 + standardized fitness: 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1865.7240 + adjusted fitness: 0.0005 +TREE: + (- (- (cos (sin (+ (cos (- x + (/ (/ (/ (/ x -0.85757) -0.20117) x) + (+ 0.90503 x)))) -0.36512))) + (/ (+ x 0.83637) + (exp x))) + (- x + (* (- (- -0.20250 x) + (+ (exp (* x + (cos (log x)))) + (sin (log (- x + (+ -0.59034 x)))))) + (- (sin 0.97443) + (exp x))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 44 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1847.9453 + standardized fitness: 1847.9453 + adjusted fitness: 0.0005 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (cos (log x))) + (+ -0.63696 -0.94253)))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin (/ (- (sin (exp (cos x))) + (+ (* (log x) x) x)) -0.06925))) +=== BEST-OF-RUN === + current generation: 45 + generation: 44 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1847.9453 + standardized fitness: 1847.9453 + adjusted fitness: 0.0005 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (cos (log x))) + (+ -0.63696 -0.94253)))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin (/ (- (sin (exp (cos x))) + (+ (* (log x) x) x)) -0.06925))) +=== BEST-OF-RUN === + current generation: 46 + generation: 44 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1847.9453 + standardized fitness: 1847.9453 + adjusted fitness: 0.0005 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (cos (log x))) + (+ -0.63696 -0.94253)))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin (/ (- (sin (exp (cos x))) + (+ (* (log x) x) x)) -0.06925))) +=== BEST-OF-RUN === + current generation: 47 + generation: 44 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1847.9453 + standardized fitness: 1847.9453 + adjusted fitness: 0.0005 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (cos (log x))) + (+ -0.63696 -0.94253)))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin (/ (- (sin (exp (cos x))) + (+ (* (log x) x) x)) -0.06925))) +=== BEST-OF-RUN === + current generation: 48 + generation: 44 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1847.9453 + standardized fitness: 1847.9453 + adjusted fitness: 0.0005 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (cos (log x))) + (+ -0.63696 -0.94253)))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin (/ (- (sin (exp (cos x))) + (+ (* (log x) x) x)) -0.06925))) +=== BEST-OF-RUN === + current generation: 49 + generation: 44 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1847.9453 + standardized fitness: 1847.9453 + adjusted fitness: 0.0005 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (cos (log x))) + (+ -0.63696 -0.94253)))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin (/ (- (sin (exp (cos x))) + (+ (* (log x) x) x)) -0.06925))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 43 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1801.6112 + standardized fitness: 1801.6112 + adjusted fitness: 0.0006 +TREE: + (- (* (log (+ (exp x) + (* x + (+ 0.90503 x)))) + (* (- (cos (- x + (* (exp (/ x x)) + (+ 0.20909 + (log x))))) + (- (/ x -0.24597) + (- x + (+ (exp (* x + (cos (log x)))) + (sin x))))) x)) + (sin -0.24597)) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.prg new file mode 100644 index 0000000..056ca82 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 4.72623, y = 631.58870 + x = 4.79942, y = 668.97293 + x = 2.01344, y = 30.66428 + x = -2.19450, y = 15.24534 + x = -1.84481, y = 6.86259 + x = -3.90183, y = 183.69912 + x = -2.97408, y = 57.80126 + x = 1.34426, y = 8.84572 + x = -0.35142, y = -0.25607 + x = 2.37201, y = 53.00090 + x = -2.13314, y = 13.41588 + x = 0.29471, y = 0.41470 + x = 1.13631, y = 5.56190 + x = -4.52265, y = 341.80349 + x = 3.61775, y = 235.35486 + x = -4.09915, y = 226.16851 + x = -2.98697, y = 58.88746 + x = 1.70600, y = 18.05234 + x = 3.80623, y = 283.31923 + x = 2.38607, y = 54.07848 + x = -1.69526, y = 4.56595 + x = -0.87966, y = -0.18777 + x = -3.53435, y = 120.84889 + x = 0.60407, y = 1.32256 + x = 3.37389, y = 182.73839 + x = 2.36924, y = 52.79060 + x = 0.95208, y = 3.54319 + x = -1.02800, y = 0.05921 + x = 3.81859, y = 286.70513 + x = -2.65923, y = 35.61340 + x = 1.45754, y = 11.19148 + x = 0.62604, y = 1.41694 + x = 1.70648, y = 18.06806 + x = 1.63063, y = 15.69551 + x = 3.66942, y = 247.83786 + x = -0.13802, y = -0.12124 + x = 3.70781, y = 257.43336 + x = 0.09473, y = 0.10463 + x = 3.02177, y = 123.12253 + x = -3.04279, y = 63.76476 + x = -0.62379, y = -0.32599 + x = 2.10462, y = 35.47633 + x = 0.13332, y = 0.15379 + x = -4.32892, y = 284.45957 + x = -2.50401, y = 27.37943 + x = 0.03524, y = 0.03653 + x = 4.51238, y = 531.34809 + x = 3.93330, y = 319.60221 + x = -2.61536, y = 33.12270 + x = -4.99289, y = 516.92070 + x = -0.59157, y = -0.32617 + x = -0.64990, y = -0.32363 + x = 1.42497, y = 10.47204 + x = 3.86973, y = 301.03681 + x = 1.48079, y = 11.72862 + x = -0.89981, y = -0.16315 + x = -1.90705, y = 8.02084 + x = -4.61719, y = 372.74666 + x = -0.86392, y = -0.20530 + x = 3.29321, y = 167.47331 + x = -2.60964, y = 32.80757 + x = 1.93120, y = 26.77245 + x = 3.32248, y = 172.89470 + x = -2.30863, y = 19.12333 + x = -2.00421, y = 10.09707 + x = 0.76224, y = 2.12366 + x = -4.83862, y = 453.42225 + x = 0.46523, y = 0.82921 + x = 2.98136, y = 117.37569 + x = -1.41749, y = 1.78083 + x = -3.61154, y = 132.45072 + x = -1.92027, y = 8.28350 + x = -0.67863, y = -0.31853 + x = 3.79912, y = 281.38548 + x = -2.02235, y = 10.52369 + x = 3.95464, y = 326.02501 + x = 2.69537, y = 82.32292 + x = -2.40408, y = 22.88468 + x = 4.12328, y = 380.27632 + x = -0.72630, y = -0.30365 + x = -0.72371, y = -0.30468 + x = 0.56927, y = 1.18284 + x = 4.83592, y = 688.22671 + x = -4.47462, y = 326.84583 + x = 4.95042, y = 751.34991 + x = 4.52634, y = 537.49669 + x = 2.30356, y = 47.99129 + x = -0.98489, y = -0.02932 + x = -1.36516, y = 1.42754 + x = -2.09282, y = 12.30412 + x = -0.29940, y = -0.22856 + x = -1.75742, y = 5.44227 + x = 2.11336, y = 35.96656 + x = -0.56074, y = -0.32376 + x = -4.43125, y = 313.76438 + x = -3.70352, y = 147.34448 + x = -2.21674, y = 15.95111 + x = 1.33421, y = 8.65817 + x = 2.69343, y = 82.11659 + x = -1.45865, y = 2.09243 + x = 2.33987, y = 50.60109 + x = 1.91646, y = 26.11782 + x = 4.81001, y = 674.51774 + x = 3.11094, y = 136.55860 + x = 0.73082, y = 1.94051 + x = 3.83916, y = 292.40651 + x = -0.48582, y = -0.30876 + x = 0.89959, y = 3.09177 + x = 3.91931, y = 315.44453 + x = 1.95445, y = 27.83152 + x = 1.79663, y = 21.24309 + x = 4.07783, y = 365.03010 + x = 1.74797, y = 19.47951 + x = -3.77111, y = 159.06419 + x = -1.40739, y = 1.70901 + x = 4.14778, y = 388.69058 + x = 4.81783, y = 678.63191 + x = -1.11678, y = 0.29308 + x = -2.87739, y = 50.12664 + x = -3.30069, y = 90.32563 + x = -2.02102, y = 10.49199 + x = -1.17283, y = 0.48150 + x = 2.77180, y = 90.77641 + x = -0.55999, y = -0.32367 + x = 1.24264, y = 7.09010 + x = -0.52800, y = -0.31869 + x = -1.73029, y = 5.04669 + x = 1.21043, y = 6.59564 + x = -1.93171, y = 8.51565 + x = -0.86151, y = -0.20786 + x = -0.55954, y = -0.32362 + x = -3.20422, y = 79.57682 + x = -1.32339, y = 1.17750 + x = -2.83117, y = 46.73945 + x = 2.47707, y = 61.46066 + x = 0.19846, y = 0.24721 + x = 3.82130, y = 287.45196 + x = 3.60703, y = 232.82450 + x = 1.93276, y = 26.84291 + x = -4.19736, y = 249.86056 + x = 4.70851, y = 622.77791 + x = -1.57966, y = 3.20054 + x = -3.10750, y = 69.79058 + x = -3.06447, y = 65.73858 + x = 4.92821, y = 738.77716 + x = -4.12658, y = 232.60658 + x = 0.47078, y = 0.84588 + x = -2.32665, y = 19.79550 + x = 3.19662, y = 150.49422 + x = 1.09675, y = 5.06572 + x = 3.02677, y = 123.84745 + x = 1.57283, y = 14.05711 + x = -1.73409, y = 5.10084 + x = -1.44506, y = 1.98611 + x = 4.10089, y = 372.70596 + x = 0.54409, y = 1.08883 + x = -1.76015, y = 5.48318 + x = 2.64118, y = 76.70387 + x = -4.36613, y = 294.86647 + x = -4.46764, y = 324.71162 + x = -4.98214, y = 512.29289 + x = 0.90715, y = 3.15380 + x = 3.96683, y = 329.73587 + x = 3.11667, y = 137.45929 + x = 2.24594, y = 44.06375 + x = -1.62371, y = 3.68269 + x = 2.18534, y = 40.20471 + x = -0.18756, y = -0.15774 + x = -3.69931, y = 146.63793 + x = -2.28081, y = 18.11808 + x = -1.32300, y = 1.17531 + x = 2.14448, y = 37.75409 + x = 0.68660, y = 1.70394 + x = 1.02587, y = 4.26543 + x = -1.32746, y = 1.20068 + x = 1.40615, y = 10.07324 + x = -4.43874, y = 315.99485 + x = -0.78315, y = -0.27399 + x = 0.33912, y = 0.50635 + x = -4.30145, y = 276.95369 + x = -3.76785, y = 158.48430 + x = 0.62853, y = 1.42795 + x = 0.57656, y = 1.21114 + x = -2.46407, y = 25.51145 + x = -0.87937, y = -0.18811 + x = 3.53331, y = 215.98521 + x = -2.17105, y = 14.52582 + x = 0.55994, y = 1.14734 + x = -0.07711, y = -0.07159 + x = -0.89922, y = -0.16390 + x = 3.01312, y = 121.87437 + x = -0.99114, y = -0.01741 + x = 2.30634, y = 48.18751 + x = -0.78643, y = -0.27184 + x = 2.12564, y = 36.66381 + x = -2.43597, y = 24.25477 + x = 2.73374, y = 86.48795 + x = 0.86663, y = 2.83265 + x = 3.26299, y = 162.01230 + x = -1.47794, y = 2.24930 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.stt new file mode 100644 index 0000000..a5e64ce --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.137 3.675 12 4 9 5 0.0000 0.0001 0.0000 13.137 3.675 12 4 9 5 +1 0 0.0000 0.0001 0.0000 13.016 4.133 7 3 21 7 0.0000 0.0001 0.0000 13.076 3.904 7 3 9 5 +2 0 0.0000 0.0001 0.0000 13.694 4.478 7 3 9 7 0.0000 0.0001 0.0000 13.282 4.095 7 3 9 5 +3 0 0.0000 0.0001 0.0000 14.670 4.832 5 3 15 5 0.0000 0.0001 0.0000 13.629 4.279 7 3 15 5 +4 0 0.0000 0.0001 0.0000 15.335 5.032 19 6 9 4 0.0000 0.0001 0.0000 13.970 4.430 7 3 15 5 +5 0 0.0000 0.0001 0.0000 16.129 5.265 24 6 18 6 0.0000 0.0001 0.0000 14.330 4.569 7 3 15 5 +6 0 0.0000 0.0002 0.0000 16.649 5.440 31 9 8 6 0.0000 0.0002 0.0000 14.661 4.694 31 9 15 5 +7 0 0.0000 0.0002 0.0000 17.373 5.660 25 5 19 6 0.0000 0.0002 0.0000 15.000 4.814 31 9 15 5 +8 0 0.0000 0.0002 0.0000 18.070 5.820 24 5 38 8 0.0000 0.0002 0.0000 15.341 4.926 31 9 15 5 +9 0 0.0000 0.0002 0.0000 18.579 5.923 31 5 10 5 0.0000 0.0002 0.0000 15.665 5.026 31 5 15 5 +10 0 0.0000 0.0002 0.0000 19.760 6.145 27 5 18 5 0.0000 0.0002 0.0000 16.037 5.127 27 5 15 5 +11 0 0.0000 0.0003 0.0000 21.518 6.440 51 10 11 6 0.0000 0.0003 0.0000 16.494 5.237 51 10 15 5 +12 0 0.0001 0.0003 0.0000 23.567 6.754 46 10 15 8 0.0000 0.0003 0.0000 17.038 5.354 46 10 15 5 +13 0 0.0001 0.0003 0.0000 26.563 7.213 38 10 38 8 0.0000 0.0003 0.0000 17.719 5.486 38 10 15 5 +14 0 0.0001 0.0003 0.0000 30.418 7.733 38 10 23 8 0.0000 0.0003 0.0000 18.565 5.636 38 10 15 5 +15 0 0.0001 0.0004 0.0000 35.635 8.483 44 9 82 16 0.0000 0.0004 0.0000 19.632 5.814 44 9 15 5 +16 0 0.0001 0.0004 0.0000 41.039 9.161 44 9 27 16 0.0000 0.0004 0.0000 20.891 6.011 44 9 15 5 +17 0 0.0001 0.0004 0.0000 46.748 9.917 42 9 31 7 0.0001 0.0004 0.0000 22.328 6.228 42 9 15 5 +18 0 0.0001 0.0004 0.0000 52.201 10.658 47 10 7 5 0.0001 0.0004 0.0000 23.900 6.461 47 10 15 5 +19 0 0.0001 0.0004 0.0000 55.654 11.163 40 10 17 7 0.0001 0.0004 0.0000 25.488 6.696 40 10 15 5 +20 0 0.0002 0.0004 0.0000 58.800 11.518 72 14 39 9 0.0001 0.0004 0.0000 27.074 6.926 72 14 15 5 +21 0 0.0002 0.0005 0.0000 61.815 11.816 68 13 102 15 0.0001 0.0005 0.0000 28.653 7.148 68 13 15 5 +22 0 0.0002 0.0005 0.0000 63.131 11.915 68 13 48 15 0.0001 0.0005 0.0000 30.152 7.355 68 13 15 5 +23 0 0.0002 0.0004 0.0000 65.236 12.125 45 9 35 9 0.0001 0.0005 0.0000 31.614 7.554 68 13 15 5 +24 0 0.0002 0.0005 0.0000 66.530 12.263 52 7 64 13 0.0001 0.0005 0.0000 33.011 7.742 52 7 15 5 +25 0 0.0002 0.0005 0.0000 68.904 12.491 48 7 9 4 0.0001 0.0005 0.0000 34.391 7.925 52 7 15 5 +26 0 0.0002 0.0005 0.0000 70.821 12.662 54 10 77 13 0.0001 0.0005 0.0000 35.740 8.100 54 10 15 5 +27 0 0.0002 0.0005 0.0000 72.363 12.701 44 7 47 11 0.0001 0.0005 0.0000 37.048 8.265 54 10 15 5 +28 0 0.0002 0.0004 0.0000 74.500 12.925 88 17 98 12 0.0001 0.0005 0.0000 38.340 8.426 54 10 15 5 +29 0 0.0002 0.0004 0.0000 76.678 13.060 97 16 82 14 0.0001 0.0005 0.0000 39.618 8.580 54 10 15 5 +30 0 0.0002 0.0004 0.0000 79.065 13.214 53 11 87 10 0.0001 0.0005 0.0000 40.890 8.729 54 10 15 5 +31 0 0.0002 0.0005 0.0000 80.478 13.265 52 11 38 9 0.0001 0.0005 0.0000 42.127 8.871 52 11 15 5 +32 0 0.0002 0.0005 0.0000 83.080 13.402 37 9 108 17 0.0001 0.0005 0.0000 43.368 9.009 52 11 15 5 +33 0 0.0002 0.0005 0.0000 84.521 13.422 56 10 64 13 0.0001 0.0005 0.0000 44.579 9.138 52 11 15 5 +34 0 0.0002 0.0004 0.0000 86.355 13.529 179 17 89 15 0.0001 0.0005 0.0000 45.772 9.264 52 11 15 5 +35 0 0.0002 0.0004 0.0000 88.634 13.628 179 17 78 16 0.0001 0.0005 0.0000 46.963 9.385 52 11 15 5 +36 0 0.0002 0.0004 0.0000 90.495 13.751 89 14 172 17 0.0001 0.0005 0.0000 48.140 9.503 52 11 15 5 +37 0 0.0002 0.0005 0.0000 92.315 13.811 107 15 95 16 0.0001 0.0005 0.0000 49.302 9.616 52 11 15 5 +38 0 0.0002 0.0005 0.0000 94.306 13.878 116 15 134 17 0.0001 0.0005 0.0000 50.456 9.726 52 11 15 5 +39 0 0.0002 0.0005 0.0000 96.138 14.045 116 15 152 14 0.0001 0.0005 0.0000 51.598 9.834 52 11 15 5 +40 0 0.0002 0.0005 0.0000 97.675 14.029 116 15 204 17 0.0001 0.0005 0.0000 52.722 9.936 52 11 15 5 +41 0 0.0002 0.0005 0.0000 100.830 14.185 58 12 148 17 0.0001 0.0005 0.0000 53.867 10.037 52 11 15 5 +42 0 0.0002 0.0005 0.0000 102.236 14.224 69 12 76 11 0.0001 0.0005 0.0000 54.992 10.134 52 11 15 5 +43 0 0.0002 0.0005 0.0000 103.262 14.208 56 12 180 17 0.0001 0.0005 0.0000 56.089 10.227 52 11 15 5 +44 0 0.0002 0.0005 0.0000 105.853 14.259 54 11 151 17 0.0001 0.0005 0.0000 57.195 10.317 54 11 15 5 +45 0 0.0002 0.0005 0.0000 107.362 14.264 92 16 94 17 0.0001 0.0005 0.0000 58.286 10.402 54 11 15 5 +46 0 0.0002 0.0005 0.0000 108.630 14.232 42 9 118 17 0.0001 0.0005 0.0000 59.357 10.484 54 11 15 5 +47 0 0.0002 0.0005 0.0000 110.208 14.309 58 10 57 11 0.0001 0.0005 0.0000 60.416 10.564 54 11 15 5 +48 0 0.0002 0.0005 0.0000 111.605 14.311 111 17 93 17 0.0001 0.0005 0.0000 61.461 10.640 54 11 15 5 +49 0 0.0002 0.0005 0.0000 113.529 14.360 35 9 152 15 0.0001 0.0005 0.0000 62.502 10.714 54 11 15 5 +50 0 0.0002 0.0006 0.0000 117.713 14.541 43 11 162 16 0.0001 0.0006 0.0000 63.585 10.790 43 11 15 5 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.sys new file mode 100644 index 0000000..78a746a --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 397. +creating initial population(s): + 5616 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 318282673 + freed: 317280073 + not freed: 1002600 + max allocated: 13017900 + malloc'ed blocks: 748259 + realloc'ed blocks: 13 + free'ed blocks: 748109 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 145026 + freed: 145026 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.bst new file mode 100644 index 0000000..7ee5248 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.bst @@ -0,0 +1,28 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 40 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2091.7796 + standardized fitness: 2091.7796 + adjusted fitness: 0.0005 +TREE: + (+ (+ (log (* x + (sin x))) + (* (* (- x -0.55523) x) + (+ (log x) + (* x x)))) + (+ (/ -0.04293 + (+ x x)) + (- (* (cos (cos (* (sin 0.53990) + (sin (* x x))))) + (exp x)) + (log x)))) +TREE-equ: +y = ((log((x * sin(x))) + (((x - -0.55523) * x) * (log(x) + (x * x)))) + ((-0.04293 / (x + x)) + ((cos(cos((sin(0.53990) * sin((x * x))))) * exp(x)) - log(x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.fn new file mode 100644 index 0000000..e8f04e5 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.fn @@ -0,0 +1,2 @@ + +y = ((log((x * sin(x))) + (((x - -0.55523) * x) * (log(x) + (x * x)))) + ((-0.04293 / (x + x)) + ((cos(cos((sin(0.53990) * sin((x * x))))) * exp(x)) - log(x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.gen new file mode 100644 index 0000000..22005ad --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.gen @@ -0,0 +1,204 @@ + +--boundary_.oOo._KD54b3dhqdcF+w5of9dN8dS/HWDxLQ3m +Content-Length: 2839 +Content-Type: application/octet-stream +X-File-MD5: 12eea4c327e5cf124b7cdfa2344ba70f +X-File-Mtime: 1711663724 +X-File-Path: /computerdocs/Brock/CS 4P82/Final Project/FP-C-Project/PartA/crossover_100_mutation_100_elitism_0/run_2/regress.stt + +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.080 3.682 7 2 14 5 0.0000 0.0001 0.0000 13.080 3.682 7 2 14 5 +1 0 0.0000 0.0001 0.0000 13.303 4.164 7 2 5 3 0.0000 0.0001 0.0000 13.191 3.923 7 2 14 5 +2 0 0.0000 0.0001 0.0000 14.172 4.521 30 6 19 9 0.0000 0.0001 0.0000 13.518 4.123 7 2 14 5 +3 0 0.0000 0.0001 0.0000 14.503 4.748 5 3 13 7 0.0000 0.0001 0.0000 13.764 4.279 7 2 14 5 +4 0 0.0000 0.0001 0.0000 15.359 5.024 31 8 10 7 0.0000 0.0001 0.0000 14.083 4.428 7 2 14 5 +5 0 0.0000 0.0001 0.0000 16.261 5.330 31 8 17 6 0.0000 0.0001 0.0000 14.446 4.578 7 2 14 5 +6 0 0.0000 0.0001 0.0000 17.187 5.545 30 8 13 4 0.0000 0.0001 0.0000 14.838 4.716 7 2 14 5 +7 0 0.0000 0.0001 0.0000 18.364 5.765 24 6 21 8 0.0000 0.0001 0.0000 15.279 4.848 7 2 14 5 +8 0 0.0000 0.0001 0.0000 20.439 6.112 96 16 55 11 0.0000 0.0001 0.0000 15.852 4.988 7 2 14 5 +9 0 0.0000 0.0001 0.0000 22.893 6.561 9 4 17 8 0.0000 0.0001 0.0000 16.556 5.145 9 4 14 5 +10 0 0.0000 0.0001 0.0000 26.462 7.181 22 5 78 10 0.0000 0.0001 0.0000 17.457 5.330 9 4 14 5 +11 0 0.0001 0.0001 0.0000 30.475 7.889 25 7 39 8 0.0000 0.0001 0.0000 18.542 5.544 25 7 14 5 +12 0 0.0001 0.0001 0.0000 35.130 8.607 21 5 26 7 0.0000 0.0001 0.0000 19.818 5.779 21 5 14 5 +13 0 0.0001 0.0002 0.0000 39.902 9.254 16 5 11 7 0.0000 0.0002 0.0000 21.252 6.027 16 5 14 5 +14 0 0.0001 0.0003 0.0000 44.135 9.869 36 9 36 9 0.0000 0.0003 0.0000 22.778 6.284 36 9 14 5 +15 0 0.0001 0.0003 0.0000 47.562 10.333 37 9 43 11 0.0000 0.0003 0.0000 24.327 6.537 37 9 14 5 +16 0 0.0001 0.0003 0.0000 49.672 10.552 37 9 56 11 0.0000 0.0003 0.0000 25.818 6.773 37 9 14 5 +17 0 0.0001 0.0003 0.0000 51.653 10.728 43 10 29 7 0.0000 0.0003 0.0000 27.253 6.993 37 9 14 5 +18 0 0.0001 0.0003 0.0000 53.285 10.945 47 11 66 11 0.0000 0.0003 0.0000 28.623 7.201 47 11 14 5 +19 0 0.0001 0.0009 0.0000 53.952 11.002 25 5 30 9 0.0001 0.0009 0.0000 29.890 7.391 25 5 14 5 +20 0 0.0001 0.0006 0.0000 55.265 11.134 28 7 77 12 0.0001 0.0009 0.0000 31.098 7.569 25 5 14 5 +21 0 0.0001 0.0006 0.0000 57.241 11.330 63 14 35 12 0.0001 0.0009 0.0000 32.286 7.740 25 5 14 5 +22 0 0.0001 0.0007 0.0000 57.375 11.322 36 10 38 10 0.0001 0.0009 0.0000 33.377 7.896 25 5 14 5 +23 0 0.0001 0.0019 0.0000 57.937 11.358 26 5 54 11 0.0001 0.0019 0.0000 34.400 8.040 26 5 14 5 +24 0 0.0001 0.0020 0.0000 55.249 11.040 29 7 98 16 0.0001 0.0020 0.0000 35.234 8.160 29 7 14 5 +25 0 0.0002 0.0072 0.0000 51.490 10.590 37 7 63 14 0.0001 0.0072 0.0000 35.860 8.253 37 7 14 5 +26 0 0.0004 0.1334 0.0000 47.097 9.869 27 5 66 10 0.0001 0.1334 0.0000 36.276 8.313 27 5 14 5 +27 0 0.0012 0.3508 0.0000 43.692 9.093 27 5 104 13 0.0001 0.3508 0.0000 36.541 8.341 27 5 14 5 + +--boundary_.oOo._KD54b3dhqdcF+w5of9dN8dS/HWDxLQ3m +Content-Length: 5943 +Content-Type: application/octet-stream +X-File-MD5: dffc32cf0d9a42887ac39db64b0b1d92 +X-File-Mtime: 1711663724 +X-File-Path: /computerdocs/Brock/CS 4P82/Final Project/FP-C-Project/PartA/crossover_100_mutation_100_elitism_0/run_1/regress.sys + + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 129. +creating initial population(s): + 5633 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + \ No newline at end of file diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.his b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.his new file mode 100644 index 0000000..a675fd7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.his @@ -0,0 +1,952 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 36 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11041.6825 + standardized fitness: 11041.6825 + adjusted fitness: 0.0001 +TREE: + (+ (/ x + (* (cos (+ (- -0.28897 -0.32997) -0.16609)) + (/ (- (* 0.88772 0.22622) + (/ 0.04185 -0.50541)) + (+ (- 0.81382 x) + (/ x 0.22413))))) + (/ x + (* (* x + (- (* x -0.56526) -0.27569)) 0.72057))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 36 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11041.6825 + standardized fitness: 11041.6825 + adjusted fitness: 0.0001 +TREE: + (+ (/ x + (* (cos (+ (- -0.28897 -0.32997) -0.16609)) + (/ (- (* 0.88772 0.22622) + (/ 0.04185 -0.50541)) + (+ (- 0.81382 x) + (/ x 0.22413))))) + (/ x + (* (* x + (- (* x -0.56526) -0.27569)) 0.72057))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 4 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9860.6431 + standardized fitness: 9860.6431 + adjusted fitness: 0.0001 +TREE: + (/ (exp x) 0.17848) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 4 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9860.6431 + standardized fitness: 9860.6431 + adjusted fitness: 0.0001 +TREE: + (/ (exp x) 0.17848) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 4 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9860.6431 + standardized fitness: 9860.6431 + adjusted fitness: 0.0001 +TREE: + (/ (exp x) 0.17848) +=== BEST-OF-RUN === + current generation: 5 + 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b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.prg new file mode 100644 index 0000000..583e82f --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -1.56563, y = 3.05628 + x = 3.06040, y = 128.81316 + x = 0.54876, y = 1.10582 + x = 2.38998, y = 54.38040 + x = -0.86557, y = -0.20353 + x = -3.65068, y = 138.64330 + x = 2.42938, y = 57.50130 + x = -4.78545, y = 432.96084 + x = 1.79969, y = 21.35808 + x = 4.54118, y = 544.09261 + x = 3.77903, y = 275.97624 + x = -0.17927, y = -0.15186 + x = -0.06748, y = -0.06321 + x = 0.22084, y = 0.28276 + x = 1.61473, y = 15.23057 + x = 2.18737, y = 40.33002 + x = 4.41723, y = 490.83244 + x = -3.55033, y = 123.18494 + x = 0.29091, y = 0.40732 + x = -4.86203, y = 462.66153 + x = 4.16850, y = 395.91563 + x = -3.58200, y = 127.91594 + x = 0.45641, y = 0.80318 + x = 3.14786, y = 142.43864 + x = -3.91295, y = 185.91751 + x = 4.59496, y = 568.51248 + x = -2.69383, y = 37.67445 + x = -0.23364, y = -0.18883 + x = 3.52580, y = 214.32337 + x = -3.95322, y = 194.12699 + x = -4.79056, y = 434.89455 + x = 4.26686, y = 431.61880 + x = -1.83123, y = 6.62670 + x = -4.52207, y = 341.62110 + x = 4.84159, y = 691.25606 + x = 4.36674, y = 470.30656 + x = 3.29139, y = 167.14126 + x = 1.52224, y = 12.73624 + x = 2.48267, y = 61.93930 + x = -1.12455, y = 0.31720 + x = -1.82221, y = 6.47308 + x = -3.58016, y = 127.63860 + x = -3.60037, y = 130.72257 + x = -2.52646, y = 28.47289 + x = 1.88193, y = 24.63198 + x = 2.68949, y = 81.69812 + x = 3.32099, y = 172.61555 + x = -2.00072, y = 10.01657 + x = -2.33341, y = 20.05238 + x = -4.33345, y = 285.71269 + x = 0.25349, y = 0.33817 + x = -0.54781, y = -0.32205 + x = -1.47168, y = 2.19760 + x = 4.10680, y = 374.69252 + x = 3.12789, y = 139.23493 + x = -0.83249, y = -0.23609 + x = -0.10837, y = -0.09776 + x = 0.07083, y = 0.07622 + x = 2.54838, y = 67.76803 + x = -0.23231, y = -0.18797 + x = -1.94207, y = 8.73006 + x = -4.09286, y = 224.70994 + x = -2.26812, y = 17.67283 + x = -2.07575, y = 11.85443 + x = 1.36339, y = 9.21179 + x = 2.35919, y = 52.03350 + x = -1.57890, y = 3.19258 + x = -2.54102, y = 29.19899 + x = 3.33892, y = 175.99646 + x = 3.92524, y = 317.20315 + x = 3.86638, y = 300.08311 + x = 1.41795, y = 10.32186 + x = 3.78308, y = 277.06272 + x = -0.37563, y = -0.26763 + x = -0.11552, y = -0.10354 + x = -0.28369, y = -0.21956 + x = 2.88968, y = 105.09655 + x = 1.34961, y = 8.94689 + x = -4.98003, y = 511.38582 + x = 1.91955, y = 26.25390 + x = -0.29667, y = -0.22702 + x = 2.23534, y = 43.36929 + x = 2.21798, y = 42.24928 + x = -1.24189, y = 0.76371 + x = 2.98885, y = 118.42478 + x = 4.30230, y = 445.06042 + x = 1.53499, y = 13.05947 + x = -4.75548, y = 421.73593 + x = -0.88546, y = -0.18094 + x = -2.51760, y = 28.03736 + x = 0.94564, y = 3.48512 + x = 0.83241, y = 2.58225 + x = 3.18332, y = 148.26396 + x = 3.55743, y = 221.38948 + x = 0.00907, y = 0.00915 + x = 1.75984, y = 19.89880 + x = -2.36325, y = 21.21466 + x = 1.77527, y = 20.45406 + x = 2.58906, y = 71.58106 + x = -2.83438, y = 46.96945 + x = 4.79981, y = 669.17180 + x = -3.02862, y = 62.49881 + x = -2.02069, y = 10.48414 + x = 0.74704, y = 2.03344 + x = 0.96322, y = 3.64545 + x = 3.01815, y = 122.59803 + x = 2.23421, y = 43.29528 + x = 4.77021, y = 653.85693 + x = -3.88205, y = 179.79906 + x = 3.82559, y = 288.63551 + x = 2.63252, y = 75.83361 + x = -0.35288, y = -0.25679 + x = -4.04371, y = 213.56219 + x = 0.06598, y = 0.07064 + x = 3.82205, y = 287.65930 + x = 2.22551, y = 42.73248 + x = -2.27618, y = 17.95476 + x = -0.82555, y = -0.24217 + x = 2.91518, y = 108.40825 + x = 4.60355, y = 572.48712 + x = -0.27756, y = -0.21597 + x = 1.64584, y = 16.15037 + x = -0.13008, y = -0.11508 + x = 1.17330, y = 6.06023 + x = 4.12544, y = 381.01098 + x = 1.89500, y = 25.18631 + x = -1.56136, y = 3.01320 + x = -1.96395, y = 9.19532 + x = 3.66115, y = 245.80654 + x = 1.86633, y = 23.98281 + x = 2.48210, y = 61.89057 + x = 3.11947, y = 137.90090 + x = 0.23166, y = 0.30063 + x = -3.80561, y = 165.31025 + x = 4.28703, y = 439.22890 + x = -4.94379, y = 496.02994 + x = 1.27906, y = 7.68405 + x = -2.84800, y = 47.95298 + x = -0.06394, y = -0.06010 + x = -4.23666, y = 259.84505 + x = 1.57849, y = 14.21128 + x = -2.63946, y = 34.47460 + x = -2.67066, y = 36.28509 + x = -0.48901, y = -0.30963 + x = 2.75997, y = 89.42626 + x = 4.29980, y = 444.09934 + x = -4.03750, y = 212.18305 + x = -2.98997, y = 59.14246 + x = 4.43199, y = 496.95924 + x = 3.11407, y = 137.05017 + x = -1.67880, y = 4.35132 + x = 4.60071, y = 571.16903 + x = 3.11412, y = 137.05756 + x = -4.27726, y = 270.47179 + x = -0.31649, y = -0.23799 + x = -3.31967, y = 92.56173 + x = 1.73973, y = 19.19257 + x = -3.21508, y = 80.73618 + x = 1.46001, y = 11.24768 + x = 0.90700, y = 3.15258 + x = -3.26091, y = 85.76990 + x = 0.08221, y = 0.08957 + x = -0.16585, y = -0.14215 + x = -4.64539, y = 382.36925 + x = -2.75290, y = 41.39579 + x = 0.27198, y = 0.37155 + x = -2.68222, y = 36.97357 + x = 1.44530, y = 10.91665 + x = 2.30601, y = 48.16435 + x = 4.52226, y = 535.69200 + x = 1.26301, y = 7.41766 + x = -4.28621, y = 272.85588 + x = -0.25754, y = -0.20390 + x = 4.80111, y = 669.85383 + x = 1.28235, y = 7.73965 + x = 0.12173, y = 0.13857 + x = 3.53172, y = 215.63340 + x = -0.85282, y = -0.21681 + x = -3.51022, y = 117.38224 + x = 2.44510, y = 58.78472 + x = -4.84473, y = 455.82186 + x = -3.34628, y = 95.76706 + x = 1.57604, y = 14.14430 + x = -2.24586, y = 16.91083 + x = 0.12724, y = 0.14575 + x = -2.60011, y = 32.28757 + x = -1.71468, y = 4.82845 + x = -0.12295, y = -0.10947 + x = 3.94728, y = 323.80032 + x = -0.98495, y = -0.02920 + x = 2.73844, y = 87.00856 + x = 4.83376, y = 687.07678 + x = -0.15402, y = -0.13339 + x = 0.41380, y = 0.68521 + x = -0.49968, y = -0.31242 + x = 0.86469, y = 2.81797 + x = 2.61808, y = 74.39946 + x = -2.47177, y = 25.86416 + x = 3.22864, y = 155.97033 + x = -2.36176, y = 21.15567 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.stt new file mode 100644 index 0000000..873979f --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.258 3.709 36 6 8 3 0.0000 0.0001 0.0000 13.258 3.709 36 6 8 3 +1 0 0.0000 0.0001 0.0000 13.639 4.174 17 5 11 4 0.0000 0.0001 0.0000 13.449 3.941 36 6 8 3 +2 0 0.0000 0.0001 0.0000 14.316 4.522 4 2 9 8 0.0000 0.0001 0.0000 13.738 4.135 4 2 8 3 +3 0 0.0000 0.0001 0.0000 15.243 4.859 9 3 6 5 0.0000 0.0001 0.0000 14.114 4.316 4 2 8 3 +4 0 0.0000 0.0001 0.0000 15.919 5.115 16 9 17 7 0.0000 0.0001 0.0000 14.475 4.476 4 2 8 3 +5 0 0.0000 0.0001 0.0000 16.631 5.326 6 4 13 6 0.0000 0.0001 0.0000 14.834 4.618 6 4 8 3 +6 0 0.0000 0.0001 0.0000 17.223 5.533 58 10 11 6 0.0000 0.0001 0.0000 15.176 4.748 6 4 8 3 +7 0 0.0000 0.0002 0.0000 17.819 5.765 16 5 25 7 0.0000 0.0002 0.0000 15.506 4.875 16 5 8 3 +8 0 0.0000 0.0001 0.0000 18.381 5.904 10 5 42 10 0.0000 0.0002 0.0000 15.825 4.990 16 5 8 3 +9 0 0.0000 0.0002 0.0000 18.860 6.046 7 2 36 9 0.0000 0.0002 0.0000 16.129 5.095 16 5 8 3 +10 0 0.0000 0.0001 0.0000 19.270 6.221 18 6 10 5 0.0000 0.0002 0.0000 16.414 5.198 16 5 8 3 +11 0 0.0000 0.0002 0.0000 20.219 6.405 17 5 10 4 0.0000 0.0002 0.0000 16.731 5.298 17 5 8 3 +12 0 0.0000 0.0004 0.0000 21.587 6.677 11 4 25 9 0.0000 0.0004 0.0000 17.105 5.404 11 4 8 3 +13 0 0.0000 0.0002 0.0000 23.111 6.993 11 5 22 7 0.0000 0.0004 0.0000 17.534 5.518 11 4 8 3 +14 0 0.0001 0.0002 0.0000 26.032 7.512 16 5 20 8 0.0000 0.0004 0.0000 18.101 5.651 11 4 8 3 +15 0 0.0001 0.0002 0.0000 28.751 7.987 30 6 41 8 0.0000 0.0004 0.0000 18.766 5.797 11 4 8 3 +16 0 0.0001 0.0003 0.0000 32.341 8.565 22 7 31 8 0.0000 0.0004 0.0000 19.565 5.960 11 4 8 3 +17 0 0.0001 0.0003 0.0000 35.599 9.084 22 7 63 10 0.0000 0.0004 0.0000 20.456 6.133 11 4 8 3 +18 0 0.0001 0.0003 0.0000 38.278 9.520 15 5 47 12 0.0000 0.0004 0.0000 21.394 6.311 11 4 8 3 +19 0 0.0001 0.0002 0.0000 40.729 9.845 17 5 49 12 0.0000 0.0004 0.0000 22.360 6.488 11 4 8 3 +20 0 0.0001 0.0003 0.0000 42.975 10.147 42 9 72 14 0.0001 0.0004 0.0000 23.342 6.662 11 4 8 3 +21 0 0.0001 0.0002 0.0000 44.563 10.323 16 5 55 14 0.0001 0.0004 0.0000 24.307 6.829 11 4 8 3 +22 0 0.0001 0.0002 0.0000 45.992 10.487 33 6 17 7 0.0001 0.0004 0.0000 25.249 6.988 11 4 8 3 +23 0 0.0001 0.0002 0.0000 47.162 10.553 47 9 36 10 0.0001 0.0004 0.0000 26.162 7.136 11 4 8 3 +24 0 0.0001 0.0002 0.0000 49.724 10.913 60 12 58 13 0.0001 0.0004 0.0000 27.105 7.287 11 4 8 3 +25 0 0.0001 0.0002 0.0000 51.454 11.122 62 13 29 10 0.0001 0.0004 0.0000 28.041 7.435 11 4 8 3 +26 0 0.0001 0.0002 0.0000 51.893 11.115 47 9 52 12 0.0001 0.0004 0.0000 28.925 7.571 11 4 8 3 +27 0 0.0001 0.0002 0.0000 53.550 11.330 58 11 80 15 0.0001 0.0004 0.0000 29.804 7.705 11 4 8 3 +28 0 0.0001 0.0002 0.0000 54.463 11.401 56 10 48 11 0.0001 0.0004 0.0000 30.655 7.833 11 4 8 3 +29 0 0.0001 0.0002 0.0000 55.366 11.476 25 6 35 8 0.0001 0.0004 0.0000 31.478 7.954 11 4 8 3 +30 0 0.0001 0.0002 0.0000 57.329 11.629 26 6 27 11 0.0001 0.0004 0.0000 32.312 8.073 11 4 8 3 +31 0 0.0001 0.0002 0.0000 58.843 11.738 29 7 114 17 0.0001 0.0004 0.0000 33.141 8.187 11 4 8 3 +32 0 0.0001 0.0003 0.0000 60.339 11.841 30 6 55 11 0.0001 0.0004 0.0000 33.965 8.298 11 4 8 3 +33 0 0.0001 0.0003 0.0000 62.847 12.132 23 6 47 11 0.0001 0.0004 0.0000 34.815 8.411 11 4 8 3 +34 0 0.0001 0.0002 0.0000 64.890 12.246 39 8 104 17 0.0001 0.0004 0.0000 35.674 8.520 11 4 8 3 +35 0 0.0001 0.0002 0.0000 66.465 12.333 80 16 106 14 0.0001 0.0004 0.0000 36.529 8.626 11 4 8 3 +36 0 0.0001 0.0002 0.0000 68.111 12.453 193 16 38 11 0.0001 0.0004 0.0000 37.383 8.730 11 4 8 3 +37 0 0.0001 0.0002 0.0000 70.348 12.590 55 16 77 12 0.0001 0.0004 0.0000 38.251 8.831 11 4 8 3 +38 0 0.0001 0.0002 0.0000 73.178 12.728 86 14 20 9 0.0001 0.0004 0.0000 39.146 8.931 11 4 8 3 +39 0 0.0001 0.0003 0.0000 74.411 12.815 56 10 13 5 0.0001 0.0004 0.0000 40.028 9.028 11 4 8 3 +40 0 0.0001 0.0003 0.0000 77.327 13.068 58 10 17 6 0.0001 0.0004 0.0000 40.937 9.127 11 4 8 3 +41 0 0.0001 0.0003 0.0000 78.891 13.190 53 10 109 15 0.0001 0.0004 0.0000 41.841 9.224 11 4 8 3 +42 0 0.0001 0.0002 0.0000 81.375 13.364 103 15 104 14 0.0001 0.0004 0.0000 42.761 9.320 11 4 8 3 +43 0 0.0001 0.0002 0.0000 82.706 13.437 101 15 43 10 0.0001 0.0004 0.0000 43.668 9.413 11 4 8 3 +44 0 0.0001 0.0003 0.0000 83.905 13.476 76 16 22 8 0.0001 0.0004 0.0000 44.562 9.504 11 4 8 3 +45 0 0.0002 0.0003 0.0000 85.314 13.572 76 16 71 16 0.0001 0.0004 0.0000 45.448 9.592 11 4 8 3 +46 0 0.0002 0.0003 0.0000 85.995 13.526 60 12 125 16 0.0001 0.0004 0.0000 46.311 9.676 11 4 8 3 +47 0 0.0002 0.0004 0.0000 86.433 13.526 68 12 78 16 0.0001 0.0004 0.0000 47.147 9.756 11 4 8 3 +48 0 0.0002 0.0004 0.0000 87.226 13.596 68 12 92 14 0.0001 0.0004 0.0000 47.965 9.834 11 4 8 3 +49 0 0.0002 0.0004 0.0000 87.964 13.521 73 13 100 13 0.0001 0.0004 0.0000 48.765 9.908 11 4 8 3 +50 0 0.0002 0.0005 0.0000 90.014 13.627 40 9 186 17 0.0001 0.0005 0.0000 49.574 9.981 40 9 8 3 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.sys new file mode 100644 index 0000000..80de98b --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_4/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 2299. +creating initial population(s): + 5618 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 256107086 + freed: 255104486 + not freed: 1002600 + max allocated: 10558621 + malloc'ed blocks: 752173 + realloc'ed blocks: 12 + free'ed blocks: 752023 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 143778 + freed: 143778 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.bst new file mode 100644 index 0000000..139bcff --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 21 + nodes: 21 + depth: 6 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (+ (* x + (+ (cos (- x x)) + (* x x))) + (+ (cos (- x x)) + (* x x))) x) +TREE-equ: +y = (((x * (cos((x - x)) + (x * x))) + (cos((x - x)) + (x * x))) * x) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.fn new file mode 100644 index 0000000..85b781a --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.fn @@ -0,0 +1,2 @@ + +y = (((x * (cos((x - x)) + (x * x))) + (cos((x - x)) + (x * x))) * x) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.gen new file mode 100644 index 0000000..2d7a989 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.gen @@ -0,0 +1,295 @@ + +--boundary_.oOo._ZFPy5kzoiPWEtFXK8c1ImqFtdSt8Z/sD +Content-Length: 5943 +Content-Type: application/octet-stream +X-File-MD5: 222aae9b8867eabac924a60cc24f8e4f +X-File-Mtime: 1711663724 +X-File-Path: /computerdocs/Brock/CS 4P82/Final Project/FP-C-Project/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.sys + + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 397. +creating initial population(s): + 5616 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 318282673 + freed: 317280073 + not freed: 1002600 + max allocated: 13017900 + malloc'ed blocks: 748259 + realloc'ed blocks: 13 + free'ed blocks: 748109 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 145026 + freed: 145026 + allocated: 16000 + blocks: 31 + +--boundary_.oOo._ZFPy5kzoiPWEtFXK8c1ImqFtdSt8Z/sD +Content-Length: 35564 +Content-Type: application/octet-stream +X-File-MD5: 6e370f884414cbb3e6ca502e5ba629ad +X-File-Mtime: 1711663724 +X-File-Path: /computerdocs/Brock/CS 4P82/Final Project/FP-C-Project/PartA/crossover_100_mutation_100_elitism_0/run_3/regress.his + +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 12 + depth: 4 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 8659.0489 + standardized fitness: 8659.0489 + adjusted fitness: 0.0001 +TREE: + (* x + (- (exp (+ 0.19388 x)) + (+ (/ x -0.40840) x))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8644.6280 + standardized fitness: 8644.6280 + adjusted fitness: 0.0001 +TREE: + (exp (+ (+ 0.98004 x) + (cos -0.72223))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8644.6280 + standardized fitness: 8644.6280 + adjusted fitness: 0.0001 +TREE: + (exp (+ (+ 0.98004 x) + (cos -0.72223))) +=== BEST-OF-RUN === + current generation: 3 + generation: 1 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8644.6280 + standardized fitness: 8644.6280 + adjusted fitness: 0.0001 +TREE: + (exp (+ (+ 0.98004 x) + (cos -0.72223))) +=== BEST-OF-RUN === + current generation: 4 + generation: 1 + \ No newline at end of file diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.his b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.his new file mode 100644 index 0000000..d9a6acc --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.his @@ -0,0 +1,482 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 35 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7304.0156 + standardized fitness: 7304.0156 + adjusted fitness: 0.0001 +TREE: + (+ (+ (- (/ (- x x) + (- -0.99943 -0.60232)) + (cos (exp -0.93729))) + (* (log (cos 0.45273)) + (+ (cos -0.02217) + (log x)))) + (* (exp (exp (log x))) + (+ (cos (* x x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 35 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7304.0156 + standardized fitness: 7304.0156 + adjusted fitness: 0.0001 +TREE: + (+ (+ (- (/ (- x x) + (- -0.99943 -0.60232)) + (cos (exp -0.93729))) + (* (log (cos 0.45273)) + (+ (cos -0.02217) + (log x)))) + (* (exp (exp (log x))) + (+ (cos (* x x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 19 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6443.1214 + standardized fitness: 6443.1214 + adjusted fitness: 0.0002 +TREE: + (* (cos (log (/ -0.25081 0.34403))) + (* x + (+ (* x + (+ (cos x) + (* x x))) + (sin x)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 19 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6443.1214 + standardized fitness: 6443.1214 + adjusted fitness: 0.0002 +TREE: + (* (cos (log (/ -0.25081 0.34403))) + (* x + (+ (* x + (+ (cos x) + (* x x))) + (sin x)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 19 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6443.1214 + standardized fitness: 6443.1214 + adjusted fitness: 0.0002 +TREE: + (* (cos (log (/ -0.25081 0.34403))) + (* x + (+ (* x + (+ (cos x) + (* x x))) + (sin x)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 23 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6371.1317 + standardized fitness: 6371.1317 + adjusted fitness: 0.0002 +TREE: + (* (cos (log (/ -0.25081 0.34403))) + (* x + (+ (* x + (+ (cos x) + (* x x))) + (- (cos (exp (cos -0.92166))) -0.50629)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 23 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6371.1317 + standardized fitness: 6371.1317 + adjusted fitness: 0.0002 +TREE: + (* (cos (log (/ -0.25081 0.34403))) + (* x + (+ (* x + (+ (cos x) + (* x x))) + (- (cos (exp (cos -0.92166))) -0.50629)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 5 + nodes: 23 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6371.1317 + standardized fitness: 6371.1317 + adjusted fitness: 0.0002 +TREE: + (* (cos (log (/ -0.25081 0.34403))) + (* x + (+ (* x + (+ (cos x) + (* x x))) + (- (cos (exp (cos -0.92166))) -0.50629)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 39 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5156.5430 + standardized fitness: 5156.5430 + adjusted fitness: 0.0002 +TREE: + (- (/ (- (exp (log (- x + (* (- (log (cos x)) x) + (/ -0.78559 + (log (* 0.14843 x))))))) + (cos 0.36038)) + (/ (exp (* (cos x) 0.69575)) + (* (* x x) + (log x)))) + (+ (/ x -0.52949) + (sin -0.27542))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 23 + depth: 7 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 1454.8616 + standardized fitness: 1454.8616 + adjusted fitness: 0.0007 +TREE: + (+ (* (cos (log (log x))) + (* x + (+ (* x + (+ (cos -0.06493) + (* x x))) + (* (+ 0.92258 x) x)))) 0.01834) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 23 + depth: 7 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 1454.8616 + standardized fitness: 1454.8616 + adjusted fitness: 0.0007 +TREE: + (+ (* (cos (log (log x))) + (* x + (+ (* x + (+ (cos -0.06493) + (* x x))) + (* (+ 0.92258 x) x)))) 0.01834) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 18 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1289.3575 + standardized fitness: 1289.3575 + adjusted fitness: 0.0008 +TREE: + (* (+ (* x + (+ (cos (log (cos x))) + (* x x))) + (* (+ 0.92258 x) x)) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 29 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 490.7028 + standardized fitness: 490.7028 + adjusted fitness: 0.0020 +TREE: + (+ (* (cos (log (log (/ x x)))) + (* x + (+ (* x + (+ (log (cos (log (/ -0.25081 0.34403)))) + (* x x))) + (* (+ 0.92258 x) x)))) 0.01834) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 31 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 487.3124 + standardized fitness: 487.3124 + adjusted fitness: 0.0020 +TREE: + (* (+ (* x + (+ (log (exp (/ (- (/ (+ -0.27309 0.18495) + (log (- (/ x -0.07364) x))) + (sin -0.08546)) -0.56286))) + (* x x))) + (* (+ 0.92258 x) x)) x) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 17 + depth: 5 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 134.8920 + standardized fitness: 134.8920 + adjusted fitness: 0.0074 +TREE: + (* (+ (* x + (+ (/ 0.80599 x) + (* x x))) + (* (+ 0.92258 x) x)) x) +=== BEST-OF-RUN === + current generation: 15 + generation: 14 + nodes: 17 + depth: 5 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 134.8920 + standardized fitness: 134.8920 + adjusted fitness: 0.0074 +TREE: + (* (+ (* x + (+ (/ 0.80599 x) + (* x x))) + (* (+ 0.92258 x) x)) x) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 13 + depth: 5 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 38.5205 + standardized fitness: 38.5205 + adjusted fitness: 0.0253 +TREE: + (* x + (+ (* x + (+ x + (* x x))) + (+ 0.92258 x))) +=== BEST-OF-RUN === + current generation: 17 + generation: 16 + nodes: 13 + depth: 5 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 38.5205 + standardized fitness: 38.5205 + adjusted fitness: 0.0253 +TREE: + (* x + (+ (* x + (+ x + (* x x))) + (+ 0.92258 x))) +=== BEST-OF-RUN === + current generation: 18 + generation: 16 + nodes: 13 + depth: 5 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 38.5205 + standardized fitness: 38.5205 + adjusted fitness: 0.0253 +TREE: + (* x + (+ (* x + (+ x + (* x x))) + (+ 0.92258 x))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 19 + depth: 5 + hits: 179 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 179 + raw fitness: 0.8414 + standardized fitness: 0.8414 + adjusted fitness: 0.5431 +TREE: + (* (+ (* x + (+ (cos -0.03185) + (* x x))) + (+ (cos (- x x)) + (* x x))) x) +=== BEST-OF-RUN === + current generation: 20 + generation: 19 + nodes: 19 + depth: 5 + hits: 179 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 179 + raw fitness: 0.8414 + standardized fitness: 0.8414 + adjusted fitness: 0.5431 +TREE: + (* (+ (* x + (+ (cos -0.03185) + (* x x))) + (+ (cos (- x x)) + (* x x))) x) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 21 + depth: 6 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (+ (* x + (+ (cos (- x x)) + (* x x))) + (+ (cos (- x x)) + (* x x))) x) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.prg new file mode 100644 index 0000000..9375f53 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 2.50711, y = 64.06044 + x = -4.74250, y = 416.94117 + x = -3.72894, y = 151.67367 + x = 3.93656, y = 320.57644 + x = -0.00093, y = -0.00093 + x = 0.79565, y = 2.33315 + x = 3.80974, y = 284.27962 + x = 0.45262, y = 0.79217 + x = 1.89286, y = 25.09497 + x = -4.20923, y = 252.84558 + x = -3.44236, y = 108.03496 + x = -2.48071, y = 26.27797 + x = -3.05439, y = 64.81549 + x = -4.00361, y = 204.77640 + x = -1.07151, y = 0.16459 + x = -2.90957, y = 52.59143 + x = -2.42831, y = 23.92047 + x = -4.26290, y = 266.67521 + x = 0.17595, y = 0.21331 + x = 0.02243, y = 0.02295 + x = 2.78756, y = 92.59940 + x = 2.05346, y = 32.70952 + x = 2.77645, y = 91.31108 + x = 2.96743, y = 115.44292 + x = -3.57799, y = 127.30992 + x = 4.69482, y = 616.03473 + x = 2.48710, y = 62.31935 + x = 2.01612, y = 30.79787 + x = -3.74211, y = 153.95409 + x = -1.73391, y = 5.09826 + x = -3.12482, y = 71.47323 + x = -3.41070, y = 103.86957 + x = -3.77048, y = 158.95272 + x = -2.90569, y = 52.28902 + x = 2.05084, y = 32.57242 + x = 3.82012, y = 287.12710 + x = 4.08719, y = 368.13009 + x = -3.96697, y = 196.99116 + x = 0.57346, y = 1.19903 + x = -3.30157, y = 90.42807 + x = -0.16771, y = -0.14351 + x = -0.84342, y = -0.22601 + x = -2.26970, y = 17.72760 + x = -3.95712, y = 194.93612 + x = -0.24913, y = -0.19867 + x = 0.46508, y = 0.82876 + x = 4.84102, y = 690.95117 + x = -2.04064, y = 10.96662 + x = -0.89920, y = -0.16392 + x = 2.54433, y = 67.39674 + x = -0.61645, y = -0.32629 + x = -4.13818, y = 235.37137 + x = 4.60313, y = 572.29179 + x = -4.93185, y = 491.05021 + x = 1.59645, y = 14.70953 + x = 0.91781, y = 3.24294 + x = 4.02799, y = 348.84536 + x = 4.17675, y = 398.82211 + x = -3.11428, y = 70.44572 + x = 1.17895, y = 6.13942 + x = 1.70846, y = 18.13354 + x = 2.77672, y = 91.34221 + x = 4.87916, y = 711.57545 + x = 0.19443, y = 0.24100 + x = 0.95847, y = 3.60163 + x = 2.40105, y = 55.24433 + x = 4.78898, y = 663.54090 + x = -4.09727, y = 225.73117 + x = 1.24552, y = 7.13568 + x = 3.46341, y = 200.88861 + x = -2.75060, y = 41.24585 + x = 4.61233, y = 576.57181 + x = 1.63631, y = 15.86400 + x = 2.63162, y = 75.74312 + x = -4.36111, y = 293.44687 + x = 1.92574, y = 26.52856 + x = 2.45033, y = 59.21602 + x = 2.70830, y = 83.70886 + x = -3.62902, y = 135.19014 + x = 0.50420, y = 0.95122 + x = -4.33317, y = 285.63380 + x = 3.31035, y = 170.63168 + x = 0.13040, y = 0.14991 + x = 0.07894, y = 0.08570 + x = 1.55764, y = 13.64967 + x = -0.90154, y = -0.16091 + x = -3.28986, y = 89.06778 + x = 1.03509, y = 4.36346 + x = 1.13584, y = 5.55580 + x = 4.64978, y = 594.24653 + x = 4.03114, y = 349.85239 + x = 3.18446, y = 148.45353 + x = -0.21249, y = -0.17490 + x = 2.11004, y = 35.77958 + x = 4.44903, y = 504.10362 + x = 0.21996, y = 0.28133 + x = 2.52028, y = 65.22576 + x = 0.09869, y = 0.10948 + x = -4.59601, y = 365.63783 + x = 2.82513, y = 97.05709 + x = 3.01475, y = 122.10832 + x = -2.86728, y = 49.37072 + x = -3.41162, y = 103.98966 + x = 3.59660, y = 230.38334 + x = 1.87750, y = 24.44642 + x = 1.07320, y = 4.78756 + x = 0.73142, y = 1.94389 + x = -0.47581, y = -0.30588 + x = -1.48949, y = 2.34664 + x = -2.50201, y = 27.28360 + x = -0.79233, y = -0.26784 + x = -2.00711, y = 10.16442 + x = -1.95909, y = 9.09044 + x = -2.76407, y = 42.12896 + x = 2.14781, y = 37.94969 + x = 3.52400, y = 213.92645 + x = -2.01079, y = 10.25037 + x = -2.23088, y = 16.41207 + x = 0.74540, y = 2.02387 + x = -4.26149, y = 266.30527 + x = 4.88078, y = 712.45948 + x = -0.30971, y = -0.23429 + x = -4.50126, y = 335.08110 + x = 3.42039, y = 192.00342 + x = -4.55134, y = 350.98106 + x = -4.88332, y = 471.18242 + x = 3.02395, y = 123.43837 + x = 3.03971, y = 125.74041 + x = -4.24589, y = 262.23123 + x = -0.43431, y = -0.29203 + x = -3.80568, y = 165.32218 + x = -2.07386, y = 11.80528 + x = -0.80221, y = -0.26078 + x = 3.87299, y = 301.97050 + x = -3.70347, y = 147.33723 + x = 2.67394, y = 80.06399 + x = 0.26944, y = 0.36687 + x = -2.10553, y = 12.64719 + x = 2.93112, y = 110.51913 + x = 3.03364, y = 124.84951 + x = -3.89075, y = 181.50655 + x = 3.94102, y = 321.91526 + x = -4.71030, y = 405.22996 + x = 0.39733, y = 0.64285 + x = 4.76901, y = 653.23951 + x = -0.65916, y = -0.32229 + x = 2.68572, y = 81.29996 + x = 1.36711, y = 9.28440 + x = 1.66138, y = 16.62583 + x = 4.33235, y = 456.70159 + x = 2.19601, y = 40.86476 + x = 4.48057, y = 517.53137 + x = -0.65543, y = -0.32286 + x = 0.83830, y = 2.62404 + x = 1.63081, y = 15.70075 + x = 0.08861, y = 0.09722 + x = 2.93493, y = 111.02775 + x = -2.28462, y = 18.25331 + x = 2.30007, y = 47.74601 + x = 4.20356, y = 408.37742 + x = -4.19624, y = 249.58030 + x = -2.16305, y = 14.28626 + x = 1.59307, y = 14.61463 + x = 0.47687, y = 0.86443 + x = -3.61126, y = 132.40749 + x = 0.26665, y = 0.36177 + x = -2.29680, y = 18.69107 + x = 2.64358, y = 76.94594 + x = -2.53307, y = 28.80102 + x = -2.19303, y = 15.19938 + x = -4.16172, y = 241.05745 + x = 1.62210, y = 15.44459 + x = 1.10774, y = 5.19988 + x = 1.41305, y = 10.21796 + x = -1.45750, y = 2.08331 + x = -4.59979, y = 366.90012 + x = -4.65428, y = 385.44174 + x = -0.33957, y = -0.25012 + x = -3.21042, y = 80.23718 + x = 0.36006, y = 0.55318 + x = -2.81825, y = 45.82421 + x = 0.30857, y = 0.44224 + x = -4.26036, y = 266.00892 + x = -3.44945, y = 108.98445 + x = -1.23807, y = 0.74654 + x = 3.35737, y = 179.52945 + x = 1.33307, y = 8.63718 + x = 3.72092, y = 260.77404 + x = 2.48425, y = 62.07485 + x = 1.02988, y = 4.30782 + x = -0.02926, y = -0.02843 + x = 2.62586, y = 75.16994 + x = -4.57246, y = 357.85504 + x = 0.12416, y = 0.14172 + x = 2.19536, y = 40.82433 + x = -0.51285, y = -0.31555 + x = -2.16672, y = 14.39589 + x = -1.12335, y = 0.31341 + x = -3.14517, y = 73.48814 + x = 4.36880, y = 471.13071 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.stt new file mode 100644 index 0000000..1b800ae --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.stt @@ -0,0 +1,23 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.945 3.655 35 5 4 2 0.0000 0.0001 0.0000 12.945 3.655 35 5 4 2 +1 0 0.0000 0.0001 0.0000 13.132 4.161 32 8 7 6 0.0000 0.0001 0.0000 13.039 3.908 35 5 4 2 +2 0 0.0000 0.0002 0.0000 13.624 4.467 19 6 9 7 0.0000 0.0002 0.0000 13.234 4.094 19 6 4 2 +3 0 0.0000 0.0001 0.0000 14.249 4.758 23 9 44 12 0.0000 0.0002 0.0000 13.487 4.260 19 6 4 2 +4 0 0.0000 0.0002 0.0000 14.972 4.999 42 11 8 4 0.0000 0.0002 0.0000 13.784 4.408 19 6 4 2 +5 0 0.0000 0.0002 0.0000 15.736 5.230 23 7 6 4 0.0000 0.0002 0.0000 14.110 4.545 23 7 4 2 +6 0 0.0000 0.0002 0.0000 16.650 5.481 26 10 10 5 0.0000 0.0002 0.0000 14.473 4.679 23 7 4 2 +7 0 0.0000 0.0002 0.0000 17.588 5.724 21 7 14 6 0.0000 0.0002 0.0000 14.862 4.809 23 7 4 2 +8 0 0.0000 0.0002 0.0000 18.479 5.971 39 10 71 14 0.0000 0.0002 0.0000 15.264 4.939 39 10 4 2 +9 0 0.0000 0.0007 0.0000 19.715 6.264 23 7 27 8 0.0000 0.0007 0.0000 15.709 5.071 23 7 4 2 +10 0 0.0000 0.0007 0.0000 21.781 6.614 16 5 31 8 0.0000 0.0007 0.0000 16.261 5.211 23 7 4 2 +11 0 0.0000 0.0008 0.0000 24.359 7.048 18 7 62 9 0.0000 0.0008 0.0000 16.936 5.364 18 7 4 2 +12 0 0.0001 0.0020 0.0000 27.812 7.659 29 10 38 12 0.0000 0.0020 0.0000 17.773 5.541 29 10 4 2 +13 0 0.0001 0.0020 0.0000 31.543 8.390 31 12 35 11 0.0000 0.0020 0.0000 18.756 5.744 31 12 4 2 +14 0 0.0002 0.0074 0.0000 32.994 8.972 17 5 11 4 0.0001 0.0074 0.0000 19.705 5.960 17 5 4 2 +15 0 0.0003 0.0049 0.0000 32.953 9.484 43 14 75 16 0.0001 0.0074 0.0000 20.533 6.180 17 5 4 2 +16 0 0.0005 0.0253 0.0000 33.507 10.029 13 5 20 7 0.0001 0.0253 0.0000 21.296 6.406 13 5 4 2 +17 0 0.0007 0.0197 0.0000 35.812 10.695 41 11 22 9 0.0001 0.0253 0.0000 22.103 6.644 13 5 4 2 +18 0 0.0010 0.0197 0.0000 38.820 11.277 41 11 39 13 0.0002 0.0253 0.0000 22.983 6.888 13 5 4 2 +19 0 0.0014 0.5431 0.0000 42.589 11.836 19 5 29 11 0.0002 0.5431 0.0000 23.963 7.136 19 5 4 2 +20 0 0.0028 0.5431 0.0000 43.393 11.631 19 5 55 14 0.0004 0.5431 0.0000 24.888 7.350 19 5 4 2 +21 0 0.0200 1.0000 0.0000 34.877 9.385 21 6 68 14 0.0013 1.0000 0.0000 25.342 7.442 21 6 4 2 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.sys new file mode 100644 index 0000000..d4631f1 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_5/regress.sys @@ -0,0 +1,116 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 57. +creating initial population(s): + 5602 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 62238515 + freed: 61817423 + not freed: 421092 + max allocated: 5705531 + malloc'ed blocks: 323835 + realloc'ed blocks: 10 + free'ed blocks: 323772 + +------- time ------- + overall: 2s wall + evaluation: 2s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 68393 + freed: 68393 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.bst new file mode 100644 index 0000000..ad9922e --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.bst @@ -0,0 +1,35 @@ +=== BEST-OF-RUN === + generation: 45 + nodes: 58 + depth: 17 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 1.0252 + standardized fitness: 1.0252 + adjusted fitness: 0.4938 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.72466)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (+ (* (sin 0.05858) + (exp x)) + (exp (exp 0.96568))))) x) + (/ (exp -0.93321) 0.19571))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) +TREE-equ: +y = ((((x * x) * (x * x)) - sin(0.72466)) + ((x * log(exp(x))) + (x + ((0.91458 + (x * (sin(sin((x / (((cos(0.63359) + exp(((sin(0.05858) * exp(x)) + exp(exp(0.96568))))) * x) * (exp(-0.93321) / 0.19571))))) + (x * log(exp(x)))))) + (-0.97154 + cos(0.77457)))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.fn new file mode 100644 index 0000000..bc283f6 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * x) * (x * x)) - sin(0.72466)) + ((x * log(exp(x))) + (x + ((0.91458 + (x * (sin(sin((x / (((cos(0.63359) + exp(((sin(0.05858) * exp(x)) + exp(exp(0.96568))))) * x) * (exp(-0.93321) / 0.19571))))) + (x * log(exp(x)))))) + (-0.97154 + cos(0.77457)))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.his b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.his new file mode 100644 index 0000000..f1c054b --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.his @@ -0,0 +1,1173 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10979.4895 + standardized fitness: 10979.4895 + adjusted fitness: 0.0001 +TREE: + (* x + (+ (/ x 0.08101) + (+ 0.10205 x))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10979.4895 + standardized fitness: 10979.4895 + adjusted fitness: 0.0001 +TREE: + (* x + (+ (/ x 0.08101) + (+ 0.10205 x))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10072.5197 + standardized fitness: 10072.5197 + adjusted fitness: 0.0001 +TREE: + (/ (+ (/ x + (* x -0.24576)) + (* (/ x 0.66434) x)) 0.07873) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10072.5197 + standardized fitness: 10072.5197 + adjusted fitness: 0.0001 +TREE: + (/ (+ (/ x + (* x -0.24576)) + (* (/ x 0.66434) x)) 0.07873) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10072.5197 + standardized fitness: 10072.5197 + adjusted fitness: 0.0001 +TREE: + (/ (+ (/ x + (* x -0.24576)) + (* (/ x 0.66434) x)) 0.07873) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 25 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9443.4075 + standardized fitness: 9443.4075 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ x 0.21275) + (cos -0.33714)) + (* (/ x -0.89664) + (- (+ (sin (exp x)) + (+ x x)) + (/ x + (cos (/ -0.51430 0.31150)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 25 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9443.4075 + standardized fitness: 9443.4075 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ x 0.21275) + (cos -0.33714)) + (* (/ x -0.89664) + (- (+ (sin (exp x)) + (+ x x)) + (/ x + (cos (/ -0.51430 0.31150)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 5 + nodes: 25 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9443.4075 + standardized fitness: 9443.4075 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ x 0.21275) + (cos -0.33714)) + (* (/ x -0.89664) + (- (+ (sin (exp x)) + (+ x x)) + (/ x + (cos (/ -0.51430 0.31150)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 5 + nodes: 25 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9443.4075 + standardized fitness: 9443.4075 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ x 0.21275) + (cos -0.33714)) + (* (/ x -0.89664) + (- (+ (sin (exp x)) + (+ x x)) + (/ x + (cos (/ -0.51430 0.31150)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 5 + nodes: 25 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9443.4075 + standardized fitness: 9443.4075 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ x 0.21275) + (cos -0.33714)) + (* (/ x -0.89664) + (- (+ (sin (exp x)) + (+ x x)) + (/ x + (cos (/ -0.51430 0.31150)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 71 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8235.5763 + standardized fitness: 8235.5763 + adjusted fitness: 0.0001 +TREE: + (- (sin (sin (+ (sin (exp (sin (* (sin x) 0.04044)))) + (log (/ x x))))) + (* (log (+ (* (cos (* (cos (cos (exp x))) + (log (/ 0.35177 + (* x x))))) + (/ x 0.18486)) + (- (/ (* (sin x) + (cos x)) + (/ (sin x) + (+ x 0.30134))) + (+ (cos (* 0.83024 0.72517)) + (+ 0.42754 + (+ x 0.45759)))))) + (/ (+ (log (sin 0.79724)) + (* (- (exp -0.93321) + (+ -0.06917 x)) x)) 0.19571))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 72 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7680.6622 + standardized fitness: 7680.6622 + adjusted fitness: 0.0001 +TREE: + (- (sin (sin (+ (sin (exp (sin (* (sin x) 0.04044)))) + (log (/ x x))))) + (* (log (+ (* (cos (* (cos (cos (exp x))) + (log (/ 0.35177 + (* x x))))) + (/ x 0.18486)) + (- (/ (* (sin x) + (cos x)) + (/ (sin x) + (sin (/ x x)))) + (+ (cos (* 0.83024 0.72517)) + (+ 0.42754 + (+ x 0.45759)))))) + (/ (+ (log (sin 0.79724)) + (* (- (exp -0.93321) + (+ -0.06917 x)) x)) 0.19571))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 9 + depth: 3 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 5960.1867 + standardized fitness: 5960.1867 + adjusted fitness: 0.0002 +TREE: + (+ x + (* (* x x) + (* x x))) +=== BEST-OF-RUN === + current generation: 13 + generation: 12 + nodes: 9 + depth: 3 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 5960.1867 + standardized fitness: 5960.1867 + adjusted fitness: 0.0002 +TREE: + (+ x + (* (* x x) + (* x x))) +=== BEST-OF-RUN === + current generation: 14 + generation: 12 + nodes: 9 + depth: 3 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 5960.1867 + standardized fitness: 5960.1867 + adjusted fitness: 0.0002 +TREE: + (+ x + (* (* x x) + (* x x))) +=== BEST-OF-RUN === + current generation: 15 + generation: 12 + nodes: 9 + depth: 3 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 5960.1867 + standardized fitness: 5960.1867 + adjusted fitness: 0.0002 +TREE: + (+ x + (* (* x x) + (* x x))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 88 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4135.7495 + standardized fitness: 4135.7495 + adjusted fitness: 0.0002 +TREE: + (- (sin (sin (+ (sin -0.75748) + (log (/ x x))))) + (* (log (+ (* (cos (* (cos (log x)) + (log (/ 0.35177 + (* x x))))) + (/ x 0.18486)) + (- (/ (* (sin x) + (- (log (sin 0.89625)) + (* (+ (/ x x) + (/ 0.98233 x)) + (cos x)))) + (/ -0.19103 + (+ x 0.30134))) + (exp x)))) + (/ (+ (log (sin 0.79724)) + (* (- (* (* (- (log (/ x x)) + (* (/ 0.29701 x) + (/ -0.81593 x))) + (/ x + (log (/ 0.14265 x)))) + (exp x)) + (+ -0.06917 x)) x)) 0.19571))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 20 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 21 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 22 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 17 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2455.0024 + standardized fitness: 2455.0024 + adjusted fitness: 0.0004 +TREE: + (* (log (exp x)) + (* (cos (log 0.76176)) + (* (+ 0.90936 x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 28 + nodes: 40 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2438.0022 + standardized fitness: 2438.0022 + adjusted fitness: 0.0004 +TREE: + (+ (- (* (* x x) + (* x x)) + (* (- (log (- (log (exp x)) + (cos (exp (+ (sin x) + (sin -0.60367)))))) + (+ (cos (* 0.83024 x)) + (+ (/ x x) + (+ x 0.45759)))) + (* x x))) + (cos -0.30791)) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 46 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2397.4593 + standardized fitness: 2397.4593 + adjusted fitness: 0.0004 +TREE: + (+ (- (* (* x x) + (* x x)) + (* (/ x x) + (+ x + (- (* (cos (exp (cos (sin -0.35236)))) + (/ x 0.18486)) + (exp x))))) + (cos (+ (cos (/ (* (* x x) + (+ -0.39746 x)) + (/ -0.00191 + (exp x)))) + (cos (+ x x))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 44 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 425.9901 + standardized fitness: 425.9901 + adjusted fitness: 0.0023 +TREE: + (+ (- (* (* x x) + (* x x)) + (* (/ x x) + (* (cos (log x)) + (log (/ 0.35177 + (* x x)))))) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin -0.43063) + (* x x)))) + (cos x))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 31 + nodes: 42 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 288.4772 + standardized fitness: 288.4772 + adjusted fitness: 0.0035 +TREE: + (+ (- (* (* x x) + (* x x)) + (* (/ x x) + (* (cos (log x)) + (log (/ x x))))) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin -0.43063) + (* x x)))) + (cos x))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 32 + nodes: 39 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 166.5969 + standardized fitness: 166.5969 + adjusted fitness: 0.0060 +TREE: + (+ (- (* (* x x) + (* x x)) + (* (/ x x) + (+ x + (sin (cos -0.14630))))) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin 0.79724) + (* x x)))) + (cos x))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 33 + nodes: 59 + depth: 16 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 119.1859 + standardized fitness: 119.1859 + adjusted fitness: 0.0083 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (log (+ (+ -0.06917 x) + (exp (log (log x))))) + (/ (+ (log (sin 0.79724)) + (* (- (+ x x) + (+ -0.06917 x)) x)) 0.19571))))) + (* x x)))) + (cos x))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 34 + nodes: 46 + depth: 11 + hits: 8 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 8 + raw fitness: 72.8497 + standardized fitness: 72.8497 + adjusted fitness: 0.0135 +TREE: + (+ (- (* (* x x) + (* x x)) + (exp (log (cos -0.87793)))) + (+ (* x + (+ (- x 0.20944) -0.14138)) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (+ x x)))) + (* x x)))) + (- (sin (cos (log x))) + (exp -0.13068)))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 35 + nodes: 61 + depth: 16 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 33.2214 + standardized fitness: 33.2214 + adjusted fitness: 0.0292 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (log (+ (+ -0.06917 x) + (exp (log (exp x))))) + (/ (+ (log (sin 0.79724)) + (* (- (+ x x) + (+ -0.06917 x)) x)) 0.19571))))) + (* x x)))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 35 + nodes: 61 + depth: 16 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 33.2214 + standardized fitness: 33.2214 + adjusted fitness: 0.0292 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (log (+ (+ -0.06917 x) + (exp (log (exp x))))) + (/ (+ (log (sin 0.79724)) + (* (- (+ x x) + (+ -0.06917 x)) x)) 0.19571))))) + (* x x)))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 37 + nodes: 58 + depth: 16 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 32.9079 + standardized fitness: 32.9079 + adjusted fitness: 0.0295 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (log (+ (+ -0.06917 x) + (exp (log (exp x))))) + (/ (+ (log (sin 0.79724)) + (+ (sin -0.43063) + (* x x))) 0.19571))))) + (* x x)))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 38 + nodes: 65 + depth: 17 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 21.5720 + standardized fitness: 21.5720 + adjusted fitness: 0.0443 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (log (+ (+ -0.06917 x) + (exp (log (* (* x x) + (* x x)))))) + (/ (+ (log (sin 0.79724)) + (+ 0.65276 + (log (- (/ x -0.02959) x)))) 0.19571))))) + (* x x)))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 39 + nodes: 43 + depth: 13 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 8.0265 + standardized fitness: 8.0265 + adjusted fitness: 0.1108 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* 0.92425 + (/ (* x x) 0.19571))))) + (* x x)))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 40 + nodes: 54 + depth: 15 + hits: 186 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 186 + raw fitness: 1.7162 + standardized fitness: 1.7162 + adjusted fitness: 0.3682 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (- 0.52868 -0.17197))) + (* x x)) + (/ (exp -0.93321) 0.19571))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 40 + nodes: 54 + depth: 15 + hits: 186 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 186 + raw fitness: 1.7162 + standardized fitness: 1.7162 + adjusted fitness: 0.3682 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (- 0.52868 -0.17197))) + (* x x)) + (/ (exp -0.93321) 0.19571))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 40 + nodes: 54 + depth: 15 + hits: 186 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 186 + raw fitness: 1.7162 + standardized fitness: 1.7162 + adjusted fitness: 0.3682 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (- 0.52868 -0.17197))) + (* x x)) + (/ (exp -0.93321) 0.19571))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 43 + nodes: 54 + depth: 15 + hits: 185 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 185 + raw fitness: 1.6453 + standardized fitness: 1.6453 + adjusted fitness: 0.3780 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (- 0.52868 -0.17197))) + (* x x)) + (exp (- 0.52868 -0.17197)))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 44 + nodes: 54 + depth: 15 + hits: 185 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 185 + raw fitness: 1.4281 + standardized fitness: 1.4281 + adjusted fitness: 0.4118 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.98066)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (- 0.52868 -0.17197))) + (* x x)) + (/ (exp -0.92006) 0.19571))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 45 + nodes: 58 + depth: 17 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 1.0252 + standardized fitness: 1.0252 + adjusted fitness: 0.4938 +TREE: + (+ (- (* (* x x) + (* x x)) + (sin 0.72466)) + (+ (* x + (log (exp x))) + (+ x + (+ (+ 0.91458 + (* x + (+ (sin (sin (/ x + (* (* (+ (cos 0.63359) + (exp (+ (* (sin 0.05858) + (exp x)) + (exp (exp 0.96568))))) x) + (/ (exp -0.93321) 0.19571))))) + (* x + (log (exp x)))))) + (+ -0.97154 + (cos 0.77457)))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.prg new file mode 100644 index 0000000..fa4a5dd --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.99437, y = 3.94397 + x = 4.03414, y = 350.81226 + x = 0.90733, y = 3.15531 + x = -2.18160, y = 14.84625 + x = 1.07028, y = 4.75390 + x = 1.41129, y = 10.18096 + x = 0.22625, y = 0.29164 + x = 0.79501, y = 2.32901 + x = -4.67128, y = 391.36804 + x = 2.04932, y = 32.49322 + x = 0.97023, y = 3.71099 + x = 4.00065, y = 340.20193 + x = 0.89895, y = 3.08659 + x = 1.76321, y = 20.01910 + x = -3.50639, y = 116.83894 + x = -4.48597, y = 330.33413 + x = 3.83508, y = 291.26806 + x = -2.87558, y = 49.99125 + x = 2.59318, y = 71.97621 + x = 0.71603, y = 1.85869 + x = 2.14741, y = 37.92625 + x = -1.11569, y = 0.28975 + x = 1.19727, y = 6.40169 + x = -3.01942, y = 61.68781 + x = -3.65739, y = 139.72699 + x = 0.85282, y = 2.72937 + x = -1.14492, y = 0.38342 + x = -0.60988, y = -0.32642 + x = 0.95073, y = 3.53102 + x = 0.55607, y = 1.13285 + x = 4.76068, y = 648.98243 + x = 4.86628, y = 704.55844 + x = 0.64293, y = 1.49293 + x = 3.48619, y = 205.71640 + x = -1.12062, y = 0.30491 + x = -0.42255, y = -0.28757 + x = -0.27803, y = -0.21625 + x = -3.26078, y = 85.75473 + x = -0.70947, y = -0.30987 + x = 4.01865, y = 345.87420 + x = 1.58563, y = 14.40766 + x = -0.15808, y = -0.13642 + x = 4.25012, y = 425.37689 + x = -4.97565, y = 509.51289 + x = -0.63978, y = -0.32479 + x = -1.90728, y = 8.02536 + x = -0.31032, y = -0.23463 + x = -2.93204, y = 54.36470 + x = 0.97406, y = 3.74724 + x = -1.31206, y = 1.11427 + x = 1.75370, y = 19.68094 + x = 0.93336, y = 3.37654 + x = 4.50869, y = 529.73142 + x = 1.46474, y = 11.35574 + x = 2.44889, y = 59.09677 + x = 1.12808, y = 5.45568 + x = -1.60880, y = 3.51443 + x = 2.42115, y = 56.83840 + x = 3.93902, y = 321.31564 + x = -3.50718, y = 116.95111 + x = -3.31068, y = 91.49732 + x = -1.51298, y = 2.55273 + x = -3.49552, y = 115.30780 + x = -3.68993, y = 145.06855 + x = -4.53630, y = 346.14975 + x = -3.87169, y = 177.78172 + x = 4.75052, y = 643.81643 + x = 0.87461, y = 2.89368 + x = -2.59701, y = 32.11993 + x = 3.40090, y = 188.07699 + x = 0.82435, y = 2.52591 + x = 1.76712, y = 20.15934 + x = 1.15036, y = 5.74715 + x = -1.09476, y = 0.22807 + x = 3.96233, y = 328.36397 + x = -3.78594, y = 161.72782 + x = -0.62439, y = -0.32596 + x = 4.73253, y = 634.74003 + x = -0.46831, y = -0.30360 + x = 0.21452, y = 0.27253 + x = -2.53838, y = 29.06627 + x = 1.43393, y = 10.66626 + x = 0.45109, y = 0.78777 + x = -0.54209, y = -0.32117 + x = -1.13325, y = 0.34494 + x = 1.27366, y = 7.59354 + x = 3.36180, y = 180.38538 + x = -0.66714, y = -0.32090 + x = 3.02249, y = 123.22610 + x = -2.24893, y = 17.01443 + x = -0.17307, y = -0.14740 + x = 3.84736, y = 294.70363 + x = 4.33624, y = 458.22383 + x = 0.88963, y = 3.01153 + x = -1.80571, y = 6.19861 + x = 4.81851, y = 678.98811 + x = 3.69156, y = 253.33848 + x = 0.34488, y = 0.51899 + x = -3.93798, y = 190.98991 + x = -1.85383, y = 7.02267 + x = 3.71710, y = 259.79759 + x = -0.04285, y = -0.04109 + x = 2.53627, y = 66.66301 + x = -4.24046, y = 260.82662 + x = -3.77368, y = 159.52317 + x = -4.68023, y = 394.51718 + x = -4.51773, y = 340.25045 + x = 0.05078, y = 0.05350 + x = -2.40201, y = 22.79781 + x = -3.82477, y = 168.85557 + x = 2.76629, y = 90.14569 + x = 4.05834, y = 358.63545 + x = 4.39866, y = 483.20588 + x = 1.18795, y = 6.26718 + x = 1.66589, y = 16.76601 + x = -2.15804, y = 14.13767 + x = -0.84921, y = -0.22040 + x = 0.61485, y = 1.36826 + x = 3.11578, y = 137.31935 + x = -4.35481, y = 291.67067 + x = -2.56325, y = 30.33415 + x = -0.59436, y = -0.32627 + x = -0.18741, y = -0.15764 + x = 4.25682, y = 427.86586 + x = 4.68380, y = 610.64852 + x = -4.13280, y = 234.08601 + x = 4.23085, y = 418.27683 + x = 0.39082, y = 0.62659 + x = -2.32108, y = 19.58604 + x = 3.64257, y = 241.28939 + x = -4.26821, y = 268.07461 + x = 4.32483, y = 453.76823 + x = 2.13454, y = 37.17572 + x = -1.64354, y = 3.91476 + x = 2.44824, y = 59.04283 + x = -1.59672, y = 3.38197 + x = 2.03527, y = 31.76729 + x = 4.26314, y = 430.22631 + x = 2.79202, y = 93.12001 + x = -3.97521, y = 198.72258 + x = -2.87713, y = 50.10747 + x = -2.25306, y = 17.15457 + x = 1.21708, y = 6.69538 + x = 2.37730, y = 53.40437 + x = -4.68567, y = 396.43878 + x = -4.57871, y = 359.91027 + x = -0.96523, y = -0.06483 + x = -4.92058, y = 486.38131 + x = 1.20583, y = 6.52739 + x = -2.67291, y = 36.41821 + x = -4.41234, y = 308.18686 + x = -1.69926, y = 4.61920 + x = -2.33404, y = 20.07620 + x = -2.58055, y = 31.23975 + x = -2.58562, y = 31.50887 + x = 4.39227, y = 480.60156 + x = 2.82261, y = 96.75343 + x = -0.82019, y = -0.24669 + x = -1.68870, y = 4.47957 + x = 2.82304, y = 96.80525 + x = -1.71551, y = 4.83982 + x = -3.78088, y = 160.81449 + x = 2.25876, y = 44.91545 + x = -3.42680, y = 105.97233 + x = 4.05236, y = 356.69028 + x = 0.01934, y = 0.01973 + x = -2.15874, y = 14.15831 + x = -2.97864, y = 58.18400 + x = 0.87362, y = 2.88610 + x = 1.24461, y = 7.12115 + x = 3.80719, y = 283.58215 + x = -0.92863, y = -0.12343 + x = 4.40902, y = 487.45076 + x = 0.78869, y = 2.28825 + x = -4.94247, y = 495.47682 + x = 4.13601, y = 384.62957 + x = -3.26032, y = 85.70353 + x = -2.60686, y = 32.65511 + x = 1.84244, y = 23.01455 + x = -4.70847, y = 404.57104 + x = -1.95541, y = 9.01163 + x = 0.05104, y = 0.05378 + x = -2.92048, y = 53.44659 + x = -0.14413, y = -0.12592 + x = 0.35807, y = 0.54864 + x = 4.51267, y = 531.47267 + x = -2.93393, y = 54.51547 + x = 0.56134, y = 1.15260 + x = -0.69590, y = -0.31411 + x = -2.57111, y = 30.74297 + x = -4.43799, y = 315.76948 + x = 0.01391, y = 0.01411 + x = -1.61048, y = 3.53313 + x = -3.45259, y = 109.40675 + x = -2.78240, y = 43.35353 + x = 3.05150, y = 127.48438 + x = -1.66208, y = 4.14037 + x = -4.57161, y = 357.57845 + x = 2.31977, y = 49.14301 + x = -3.82168, y = 168.27999 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.stt new file mode 100644 index 0000000..e4932e0 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.stt @@ -0,0 +1,47 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.112 3.651 9 3 58 6 0.0000 0.0001 0.0000 13.112 3.651 9 3 58 6 +1 0 0.0000 0.0001 0.0000 13.295 4.137 25 4 16 7 0.0000 0.0001 0.0000 13.203 3.894 9 3 58 6 +2 0 0.0000 0.0001 0.0000 14.031 4.504 13 4 18 4 0.0000 0.0001 0.0000 13.479 4.097 13 4 58 6 +3 0 0.0000 0.0001 0.0000 14.815 4.804 13 4 10 6 0.0000 0.0001 0.0000 13.813 4.274 13 4 58 6 +4 0 0.0000 0.0001 0.0000 14.868 4.987 12 4 17 6 0.0000 0.0001 0.0000 14.024 4.417 13 4 58 6 +5 0 0.0000 0.0001 0.0000 15.467 5.238 25 6 7 5 0.0000 0.0001 0.0000 14.264 4.554 25 6 58 6 +6 0 0.0000 0.0001 0.0000 16.191 5.461 16 5 8 4 0.0000 0.0001 0.0000 14.540 4.683 25 6 58 6 +7 0 0.0000 0.0001 0.0000 16.458 5.559 45 10 21 7 0.0000 0.0001 0.0000 14.780 4.793 25 6 58 6 +8 0 0.0000 0.0001 0.0000 16.892 5.669 65 10 14 6 0.0000 0.0001 0.0000 15.014 4.890 25 6 58 6 +9 0 0.0000 0.0001 0.0000 17.338 5.807 67 10 10 4 0.0000 0.0001 0.0000 15.247 4.982 25 6 58 6 +10 0 0.0000 0.0001 0.0000 17.832 5.929 71 10 37 8 0.0000 0.0001 0.0000 15.482 5.068 71 10 58 6 +11 0 0.0000 0.0001 0.0000 18.321 6.081 72 10 5 3 0.0000 0.0001 0.0000 15.718 5.152 72 10 58 6 +12 0 0.0000 0.0002 0.0000 19.264 6.258 9 3 10 5 0.0000 0.0002 0.0000 15.991 5.237 9 3 58 6 +13 0 0.0000 0.0002 0.0000 20.030 6.393 9 3 9 4 0.0000 0.0002 0.0000 16.280 5.320 9 3 58 6 +14 0 0.0000 0.0001 0.0000 21.375 6.565 86 10 9 5 0.0000 0.0002 0.0000 16.619 5.403 9 3 58 6 +15 0 0.0000 0.0001 0.0000 22.569 6.652 90 11 10 5 0.0000 0.0002 0.0000 16.991 5.481 9 3 58 6 +16 0 0.0000 0.0002 0.0000 25.442 7.072 88 11 17 6 0.0000 0.0002 0.0000 17.488 5.575 88 11 58 6 +17 0 0.0000 0.0004 0.0000 29.724 7.596 15 4 21 7 0.0000 0.0004 0.0000 18.168 5.687 15 4 58 6 +18 0 0.0001 0.0003 0.0000 34.298 8.102 19 6 23 6 0.0000 0.0004 0.0000 19.017 5.814 15 4 58 6 +19 0 0.0001 0.0003 0.0000 40.298 8.860 92 14 64 12 0.0000 0.0004 0.0000 20.081 5.966 15 4 58 6 +20 0 0.0001 0.0003 0.0000 47.373 9.620 87 14 32 12 0.0000 0.0004 0.0000 21.381 6.140 15 4 58 6 +21 0 0.0001 0.0003 0.0000 53.842 10.331 27 9 65 13 0.0000 0.0004 0.0000 22.856 6.331 15 4 58 6 +22 0 0.0001 0.0003 0.0000 59.644 10.936 65 11 74 12 0.0000 0.0004 0.0000 24.456 6.531 15 4 58 6 +23 0 0.0001 0.0003 0.0000 65.177 11.467 89 15 42 10 0.0000 0.0004 0.0000 26.152 6.737 15 4 58 6 +24 0 0.0001 0.0004 0.0000 68.506 11.789 76 11 122 14 0.0000 0.0004 0.0000 27.847 6.939 15 4 58 6 +25 0 0.0001 0.0004 0.0000 70.095 11.922 77 14 45 12 0.0000 0.0004 0.0000 29.471 7.130 15 4 58 6 +26 0 0.0001 0.0004 0.0000 71.960 12.066 83 17 88 13 0.0001 0.0004 0.0000 31.045 7.313 15 4 58 6 +27 0 0.0001 0.0004 0.0000 73.634 12.193 72 14 54 17 0.0001 0.0004 0.0000 32.566 7.487 15 4 58 6 +28 0 0.0001 0.0004 0.0000 75.700 12.374 40 10 50 8 0.0001 0.0004 0.0000 34.054 7.656 40 10 58 6 +29 0 0.0001 0.0004 0.0000 78.215 12.596 46 10 64 17 0.0001 0.0004 0.0000 35.526 7.821 46 10 58 6 +30 0 0.0001 0.0023 0.0000 80.270 12.732 44 8 36 9 0.0001 0.0023 0.0000 36.969 7.979 44 8 58 6 +31 0 0.0001 0.0035 0.0000 82.647 12.909 42 8 62 13 0.0001 0.0035 0.0000 38.396 8.133 42 8 58 6 +32 0 0.0002 0.0060 0.0000 82.249 12.823 39 8 93 14 0.0001 0.0060 0.0000 39.725 8.275 39 8 58 6 +33 0 0.0005 0.0083 0.0000 74.081 11.894 59 16 30 8 0.0001 0.0083 0.0000 40.736 8.382 59 16 58 6 +34 0 0.0011 0.0135 0.0000 58.345 10.414 46 11 70 11 0.0001 0.0135 0.0000 41.239 8.440 46 11 58 6 +35 0 0.0014 0.0292 0.0000 55.174 10.365 61 16 56 12 0.0001 0.0292 0.0000 41.626 8.493 61 16 58 6 +36 0 0.0018 0.0292 0.0000 58.291 10.912 61 16 65 9 0.0002 0.0292 0.0000 42.076 8.559 61 16 58 6 +37 0 0.0022 0.0295 0.0000 61.725 11.506 58 16 101 16 0.0002 0.0295 0.0000 42.593 8.636 58 16 58 6 +38 0 0.0029 0.0443 0.0000 63.632 12.063 65 17 81 13 0.0003 0.0443 0.0000 43.133 8.724 65 17 58 6 +39 0 0.0048 0.1108 0.0000 63.696 12.763 43 13 77 10 0.0004 0.1108 0.0000 43.647 8.825 43 13 58 6 +40 0 0.0076 0.3682 0.0000 61.039 13.374 54 15 9 4 0.0006 0.3682 0.0000 44.071 8.936 54 15 58 6 +41 0 0.0108 0.3682 0.0000 58.786 13.865 54 15 39 8 0.0008 0.3682 0.0000 44.421 9.053 54 15 58 6 +42 0 0.0162 0.3682 0.0000 57.477 13.876 54 15 31 6 0.0012 0.3682 0.0000 44.725 9.165 54 15 58 6 +43 0 0.0271 0.3780 0.0000 56.209 13.792 54 15 57 16 0.0018 0.3780 0.0000 44.986 9.271 54 15 58 6 +44 0 0.0427 0.4118 0.0000 53.505 13.562 54 15 70 16 0.0027 0.4118 0.0000 45.175 9.366 54 15 58 6 +45 0 0.0508 0.4938 0.0000 51.633 13.427 58 17 9 4 0.0037 0.4938 0.0000 45.316 9.454 58 17 58 6 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.sys new file mode 100644 index 0000000..1d17518 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_6/regress.sys @@ -0,0 +1,188 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1096. +creating initial population(s): + 5665 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 213281005 + freed: 212378665 + not freed: 902340 + max allocated: 9684493 + malloc'ed blocks: 677497 + realloc'ed blocks: 11 + free'ed blocks: 677362 + +------- time ------- + overall: 5s wall + evaluation: 5s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 131379 + freed: 131379 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.bst new file mode 100644 index 0000000..acabb7a --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.bst @@ -0,0 +1,39 @@ +=== BEST-OF-RUN === + generation: 48 + nodes: 91 + depth: 16 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 66.3483 + standardized fitness: 66.3483 + adjusted fitness: 0.0148 +TREE: + (- (* x + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (/ x + (* x + (- (* (/ -0.93562 + (+ (cos (cos x)) x)) + (- (cos x) + (/ x + (/ -0.93562 + (+ (sin (log (exp (- (cos -0.34761) + (cos -0.70143))))) x))))) + (* (cos (+ (cos (log -0.79526)) x)) + (- (sin (* (sin (* x 0.50352)) -0.43047)) + (sin (* x 0.32173)))))))) + (- (- (+ -0.25388 0.36742) + (sin (- x + (* (+ (- 0.19344 x) x) + (+ (+ -0.36588 x) -0.73379))))) + (sin (sin x))))) +TREE-equ: +y = ((x * (((x * x) * x) - (x / (-0.93562 / (cos(log(-0.79526)) + x))))) - (cos((x / (x * (((-0.93562 / (cos(cos(x)) + x)) * (cos(x) - (x / (-0.93562 / (sin(log(exp((cos(-0.34761) - cos(-0.70143))))) + x))))) - (cos((cos(log(-0.79526)) + x)) * (sin((sin((x * 0.50352)) * -0.43047)) - sin((x * 0.32173)))))))) * (((-0.25388 + 0.36742) - sin((x - (((0.19344 - x) + x) * ((-0.36588 + x) + -0.73379))))) - sin(sin(x))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.fn new file mode 100644 index 0000000..a7891d2 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * (((x * x) * x) - (x / (-0.93562 / (cos(log(-0.79526)) + x))))) - (cos((x / (x * (((-0.93562 / (cos(cos(x)) + x)) * (cos(x) - (x / (-0.93562 / (sin(log(exp((cos(-0.34761) - cos(-0.70143))))) + x))))) - (cos((cos(log(-0.79526)) + x)) * (sin((sin((x * 0.50352)) * -0.43047)) - sin((x * 0.32173)))))))) * (((-0.25388 + 0.36742) - sin((x - (((0.19344 - x) + x) * ((-0.36588 + x) + -0.73379))))) - sin(sin(x))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.his b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.his new file mode 100644 index 0000000..c0c9fc3 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.his @@ -0,0 +1,1356 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 4 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 5 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 0 + nodes: 16 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6179.8533 + standardized fitness: 6179.8533 + adjusted fitness: 0.0002 +TREE: + (* (* (cos (+ 0.21159 -0.40779)) + (* x x)) + (+ (* x x) + (/ x x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 20 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5770.0584 + standardized fitness: 5770.0584 + adjusted fitness: 0.0002 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (+ (- -0.19410 0.78460) + (* x -0.33404)))) + (sin x)) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 27 + depth: 9 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 5047.8435 + standardized fitness: 5047.8435 + adjusted fitness: 0.0002 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (+ (log (cos (- (log (exp -0.77925)) + (sin (- 0.23478 -0.55809))))) + (* x -0.33404)))) + (sin x)) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 27 + depth: 9 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 5047.8435 + standardized fitness: 5047.8435 + adjusted fitness: 0.0002 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (+ (log (cos (- (log (exp -0.77925)) + (sin (- 0.23478 -0.55809))))) + (* x -0.33404)))) + (sin x)) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 27 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4887.8989 + standardized fitness: 4887.8989 + adjusted fitness: 0.0002 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (+ (log (cos (- (log (exp -0.77925)) + (sin (- 0.23478 -0.55809))))) + (- x 0.81436)))) + (sin x)) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 32 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3893.8907 + standardized fitness: 3893.8907 + adjusted fitness: 0.0003 +TREE: + (- (* (log (exp x)) + (- (* x + (* (/ (+ x 0.88859) + (/ -0.61700 -0.59869)) + (+ (/ x x) x))) + (+ (log (log 0.14288)) + (* x + (/ 0.73374 x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 32 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1945.5320 + standardized fitness: 1945.5320 + adjusted fitness: 0.0005 +TREE: + (- (* (log (exp x)) + (- (* x + (* (/ (+ x 0.88859) + (/ -0.61700 -0.59869)) + (+ (cos (cos -0.34357)) x))) + (+ (log (log 0.14288)) + (* x + (/ 0.73374 x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 32 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1825.0749 + standardized fitness: 1825.0749 + adjusted fitness: 0.0005 +TREE: + (- (* (- x 0.04894) + (- (* x + (* (/ (+ x 0.88859) + (/ -0.61700 -0.59869)) + (+ (cos (cos -0.34357)) x))) + (+ (log (log 0.14288)) + (* x + (/ 0.73374 x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 33 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1713.2489 + standardized fitness: 1713.2489 + adjusted fitness: 0.0006 +TREE: + (- (* (- x 0.04894) + (- (* x + (* (/ (+ x 0.88859) + (/ -0.61700 -0.59869)) + (+ (cos (cos -0.34357)) x))) + (+ (log (log 0.14288)) + (* x + (/ (log x) x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 47 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1253.5553 + standardized fitness: 1253.5553 + adjusted fitness: 0.0008 +TREE: + (- (* (- x 0.04894) + (- (* x + (* (/ (+ x 0.88859) + (/ -0.61700 -0.59869)) + (+ (cos (exp (/ (- -0.71957 + (sin 0.85128)) x))) x))) + (+ (log (log 0.14288)) + (* x + (/ 0.73374 x))))) + (cos (- (/ (sin x) 0.71755) + (+ (exp -0.24337) + (/ x x))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 39 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 230.4977 + standardized fitness: 230.4977 + adjusted fitness: 0.0043 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (/ 0.25598 0.91833) x)))) + (- (* -0.52948 -0.43047) + (sin (* x 0.32173))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 38 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 172.3394 + standardized fitness: 172.3394 + adjusted fitness: 0.0058 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (- (* -0.52948 -0.43047) + (sin (* x 0.32173))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 41 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 103.5228 + standardized fitness: 103.5228 + adjusted fitness: 0.0096 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (* (+ -0.32054 + (* 0.71495 x)) + (/ 0.14343 -0.43140))))) + (- x + (sin (* x 0.32173))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 20 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 21 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 22 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 23 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 24 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 25 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 26 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 27 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 28 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 29 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 30 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 31 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 85.5695 + standardized fitness: 85.5695 + adjusted fitness: 0.0116 +TREE: + (- (* (log (exp x)) + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (+ x + (/ -0.51426 + (/ (cos -0.34357) x)))) + (* (- (+ (- 0.88648 0.98506) -0.01346) + (cos (sin x))) x))) +=== BEST-OF-RUN === + current generation: 32 + generation: 19 + nodes: 41 + depth: 8 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 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hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 76.5693 + standardized fitness: 76.5693 + adjusted fitness: 0.0129 +TREE: + (- (* x + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (/ x + (* (log (log (* (* -0.58657 0.23704) -0.61585))) + (- (* x x) + (/ x + (/ -0.93562 + (+ (cos (log (exp (cos (log -0.79526))))) x))))))) + (- (- (+ -0.25388 0.36742) + (sin (- x + (* (+ (- 0.19344 x) x) + (+ (+ -0.36588 x) -0.73379))))) + (sin (sin x))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 42 + nodes: 68 + depth: 14 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 76.5693 + standardized fitness: 76.5693 + adjusted fitness: 0.0129 +TREE: + (- (* x + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (/ x + (* (log (log (* (* -0.58657 0.23704) -0.61585))) + (- (* x x) + (/ x + (/ -0.93562 + (+ (cos (log (exp (cos (log -0.79526))))) x))))))) + (- (- (+ -0.25388 0.36742) + (sin (- x + (* (+ (- 0.19344 x) x) + (+ (+ -0.36588 x) -0.73379))))) + (sin (sin x))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 91 + depth: 16 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 66.3483 + standardized fitness: 66.3483 + adjusted fitness: 0.0148 +TREE: + (- (* x + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (/ x + (* x + (- (* (/ -0.93562 + (+ (cos (cos x)) x)) + (- (cos x) + (/ x + (/ -0.93562 + (+ (sin (log (exp (- (cos -0.34761) + (cos -0.70143))))) x))))) + (* (cos (+ (cos (log -0.79526)) x)) + (- (sin (* (sin (* x 0.50352)) -0.43047)) + (sin (* x 0.32173)))))))) + (- (- (+ -0.25388 0.36742) + (sin (- x + (* (+ (- 0.19344 x) x) + (+ (+ -0.36588 x) -0.73379))))) + (sin (sin x))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 48 + nodes: 91 + depth: 16 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 66.3483 + standardized fitness: 66.3483 + adjusted fitness: 0.0148 +TREE: + (- (* x + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (/ x + (* x + (- (* (/ -0.93562 + (+ (cos (cos x)) x)) + (- (cos x) + (/ x + (/ -0.93562 + (+ (sin (log (exp (- (cos -0.34761) + (cos -0.70143))))) x))))) + (* (cos (+ (cos (log -0.79526)) x)) + (- (sin (* (sin (* x 0.50352)) -0.43047)) + (sin (* x 0.32173)))))))) + (- (- (+ -0.25388 0.36742) + (sin (- x + (* (+ (- 0.19344 x) x) + (+ (+ -0.36588 x) -0.73379))))) + (sin (sin x))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 48 + nodes: 91 + depth: 16 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 66.3483 + standardized fitness: 66.3483 + adjusted fitness: 0.0148 +TREE: + (- (* x + (- (* (* x x) x) + (/ x + (/ -0.93562 + (+ (cos (log -0.79526)) x))))) + (* (cos (/ x + (* x + (- (* (/ -0.93562 + (+ (cos (cos x)) x)) + (- (cos x) + (/ x + (/ -0.93562 + (+ (sin (log (exp (- (cos -0.34761) + (cos -0.70143))))) x))))) + (* (cos (+ (cos (log -0.79526)) x)) + (- (sin (* (sin (* x 0.50352)) -0.43047)) + (sin (* x 0.32173)))))))) + (- (- (+ -0.25388 0.36742) + (sin (- x + (* (+ (- 0.19344 x) x) + (+ (+ -0.36588 x) -0.73379))))) + (sin (sin x))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.prg new file mode 100644 index 0000000..0d502d5 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 3.27998, y = 165.06641 + x = -4.78494, y = 432.76873 + x = -4.72616, y = 410.96732 + x = 4.08847, y = 368.55608 + x = -4.21335, y = 253.88831 + x = 1.52906, y = 12.90840 + x = 0.49530, y = 0.92232 + x = -3.49410, y = 115.10930 + x = 3.02719, y = 123.90856 + x = -4.23019, y = 258.18029 + x = -1.43718, y = 1.92606 + x = -4.24431, y = 261.82237 + x = -1.89222, y = 7.73316 + x = -0.62383, y = -0.32599 + x = -0.24700, y = -0.19734 + x = -1.41467, y = 1.76064 + x = 1.57004, y = 13.98163 + x = -4.54231, y = 348.07342 + x = 0.91821, y = 3.24634 + x = -2.20108, y = 15.45165 + x = -1.86378, y = 7.20217 + x = 3.64719, y = 242.40667 + x = -1.91103, y = 8.09930 + x = -4.21978, y = 255.52081 + x = 4.70924, y = 623.13895 + x = 1.58812, y = 14.47674 + x = -3.29207, y = 89.32281 + x = 1.43575, y = 10.70594 + x = -1.03294, y = 0.07033 + x = 2.61800, y = 74.39207 + x = 0.01129, y = 0.01142 + x = 3.59539, y = 230.10329 + x = 3.07689, y = 131.30331 + x = 0.76651, y = 2.14958 + x = 2.25584, y = 44.72003 + x = -2.48431, y = 26.44599 + x = 1.09971, y = 5.10159 + x = -1.57470, y = 3.14906 + x = 1.13285, y = 5.51699 + x = -1.40595, y = 1.69893 + x = -4.14396, y = 236.75696 + x = 0.67671, y = 1.65423 + x = 2.24027, y = 43.69076 + x = 2.43630, y = 58.06342 + x = 0.43434, y = 0.74053 + x = -1.00262, y = 0.00528 + x = -0.07696, y = -0.07146 + x = -3.71323, y = 148.98727 + x = 2.53590, y = 66.62957 + x = 0.39235, y = 0.63038 + x = 0.88708, y = 2.99124 + x = -0.09611, y = -0.08768 + x = -2.35397, y = 20.84795 + x = 4.53044, y = 539.31484 + x = 0.75810, y = 2.09883 + x = 4.68459, y = 611.03495 + x = -2.86184, y = 48.96750 + x = -0.49267, y = -0.31061 + x = -3.16737, y = 75.73446 + x = 3.27096, y = 163.43863 + x = -4.57065, y = 357.26338 + x = -2.93000, y = 54.20133 + x = 0.37305, y = 0.58351 + x = -0.56686, y = -0.32443 + x = 4.91377, y = 730.68789 + x = 2.88611, y = 104.63911 + x = -1.48458, y = 2.30490 + x = 0.67148, y = 1.62842 + x = 3.94183, y = 322.15738 + x = -4.24438, y = 261.83974 + x = 3.66229, y = 246.08601 + x = 0.28327, y = 0.39268 + x = -2.07821, y = 11.91838 + x = -4.47414, y = 326.69671 + x = 1.91184, y = 25.91512 + x = 3.23233, y = 156.61134 + x = 1.00116, y = 4.01156 + x = -1.44148, y = 1.95869 + x = 0.02211, y = 0.02261 + x = -4.97535, y = 509.38468 + x = -0.55004, y = -0.32237 + x = 2.20060, y = 41.15118 + x = -0.39689, y = -0.27707 + x = 0.69610, y = 1.75276 + x = 2.18866, y = 40.40910 + x = -2.05871, y = 11.41730 + x = -1.77766, y = 5.75092 + x = -1.35624, y = 1.37187 + x = 0.85274, y = 2.72876 + x = 4.36972, y = 471.50132 + x = 4.00026, y = 340.08264 + x = -4.57177, y = 357.62923 + x = -0.51653, y = -0.31635 + x = 0.37722, y = 0.59345 + x = -0.06824, y = -0.06388 + x = 0.57278, y = 1.19639 + x = -2.24508, y = 16.88485 + x = 1.71440, y = 18.33121 + x = -4.47554, y = 327.12829 + x = 2.20201, y = 41.23959 + x = 2.99622, y = 119.46430 + x = -3.63548, y = 136.21416 + x = 1.26466, y = 7.44463 + x = 2.51125, y = 64.42499 + x = -4.05761, y = 216.67046 + x = 3.68647, y = 252.06689 + x = -4.69922, y = 401.25781 + x = 1.94993, y = 27.62321 + x = -2.65821, y = 35.55430 + x = -2.18318, y = 14.89496 + x = 1.46225, y = 11.29872 + x = 3.49441, y = 207.48067 + x = 3.65459, y = 244.20588 + x = -2.53709, y = 29.00170 + x = 4.27069, y = 433.05641 + x = -4.99888, y = 519.51539 + x = 2.58653, y = 71.33913 + x = 4.99583, y = 777.55868 + x = 4.50138, y = 526.53710 + x = -0.65901, y = -0.32231 + x = 0.13120, y = 0.15096 + x = 1.80102, y = 21.40814 + x = 0.14702, y = 0.17229 + x = -3.26019, y = 85.68838 + x = -2.24060, y = 16.73446 + x = 2.29777, y = 47.58503 + x = 4.01861, y = 345.86279 + x = 0.41054, y = 0.67669 + x = 4.58347, y = 563.22738 + x = 3.22537, y = 155.40425 + x = 2.93155, y = 110.57635 + x = 4.05122, y = 356.32141 + x = -3.78327, y = 161.24462 + x = -2.79470, y = 44.18981 + x = -1.43760, y = 1.92923 + x = 0.95555, y = 3.57481 + x = 3.54601, y = 218.81789 + x = -2.85980, y = 48.81676 + x = 1.42541, y = 10.48151 + x = 2.18754, y = 40.34025 + x = 0.35475, y = 0.54109 + x = -1.77349, y = 5.68633 + x = -0.85762, y = -0.21192 + x = -3.48825, y = 114.29250 + x = -0.76147, y = -0.28695 + x = -2.80076, y = 44.60591 + x = 0.28121, y = 0.38877 + x = -2.25634, y = 17.26664 + x = -2.38218, y = 21.97731 + x = 2.63399, y = 75.98076 + x = 1.55417, y = 13.55789 + x = 2.34437, y = 50.93243 + x = 2.13093, y = 36.96743 + x = -2.70091, y = 38.10700 + x = 4.27046, y = 432.96848 + x = 3.94500, y = 323.11100 + x = -4.85222, y = 458.77115 + x = -0.94064, y = -0.10524 + x = -1.05115, y = 0.11317 + x = -0.01316, y = -0.01299 + x = -4.85953, y = 461.66807 + x = 3.16057, y = 144.50585 + x = -4.47548, y = 327.10806 + x = 0.15425, y = 0.18228 + x = 2.46206, y = 60.19293 + x = -1.76426, y = 5.54533 + x = -0.64797, y = -0.32388 + x = 2.14284, y = 37.65854 + x = 3.22438, y = 155.23387 + x = 2.07145, y = 33.66272 + x = -0.28009, y = -0.21746 + x = -0.15712, y = -0.13571 + x = 2.37801, y = 53.45845 + x = -3.13261, y = 72.23965 + x = 2.78682, y = 92.51355 + x = 2.78682, y = 92.51332 + x = 4.67009, y = 604.00000 + x = -2.15206, y = 13.96197 + x = -2.53064, y = 28.68017 + x = -1.18559, y = 0.52934 + x = 2.14999, y = 38.07767 + x = -0.04075, y = -0.03916 + x = -3.53831, y = 121.42415 + x = -0.40337, y = -0.27982 + x = 3.08490, y = 132.52512 + x = 4.77098, y = 654.25253 + x = 3.52670, y = 214.52270 + x = 1.06248, y = 4.66509 + x = -0.25676, y = -0.20342 + x = -4.67333, y = 392.08868 + x = -3.39648, y = 102.03860 + x = -3.59684, y = 130.17935 + x = -1.08418, y = 0.19854 + x = 4.35396, y = 465.21424 + x = -2.53237, y = 28.76606 + x = -4.48812, y = 330.99957 + x = 0.84851, y = 2.69771 + x = -2.72501, y = 39.60627 + x = -1.27507, y = 0.92098 + x = 1.45170, y = 11.05988 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.stt new file mode 100644 index 0000000..a648c55 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0002 0.0000 13.130 3.653 16 4 14 5 0.0000 0.0002 0.0000 13.130 3.653 16 4 14 5 +1 0 0.0000 0.0002 0.0000 13.412 4.122 16 4 13 5 0.0000 0.0002 0.0000 13.271 3.888 16 4 14 5 +2 0 0.0000 0.0001 0.0000 14.202 4.513 41 8 35 9 0.0000 0.0002 0.0000 13.582 4.096 16 4 14 5 +3 0 0.0000 0.0001 0.0000 14.742 4.754 8 4 18 8 0.0000 0.0002 0.0000 13.872 4.261 16 4 14 5 +4 0 0.0000 0.0001 0.0000 15.458 5.025 36 7 23 7 0.0000 0.0002 0.0000 14.189 4.413 16 4 14 5 +5 0 0.0000 0.0001 0.0000 15.857 5.234 37 7 29 8 0.0000 0.0002 0.0000 14.467 4.550 16 4 14 5 +6 0 0.0000 0.0001 0.0000 16.551 5.410 8 4 32 14 0.0000 0.0002 0.0000 14.765 4.673 16 4 14 5 +7 0 0.0000 0.0002 0.0000 16.827 5.508 20 5 17 6 0.0000 0.0002 0.0000 15.023 4.777 20 5 14 5 +8 0 0.0000 0.0002 0.0000 17.571 5.703 27 9 13 7 0.0000 0.0002 0.0000 15.306 4.880 27 9 14 5 +9 0 0.0000 0.0002 0.0000 18.106 5.841 24 8 49 9 0.0000 0.0002 0.0000 15.586 4.976 27 9 14 5 +10 0 0.0000 0.0002 0.0000 18.745 6.101 27 9 13 6 0.0000 0.0002 0.0000 15.873 5.078 27 9 14 5 +11 0 0.0000 0.0003 0.0000 19.356 6.240 32 7 15 5 0.0000 0.0003 0.0000 16.163 5.175 32 7 14 5 +12 0 0.0000 0.0005 0.0000 20.411 6.420 32 8 15 6 0.0000 0.0005 0.0000 16.490 5.271 32 8 14 5 +13 0 0.0000 0.0005 0.0000 21.967 6.679 32 8 33 10 0.0000 0.0005 0.0000 16.881 5.372 32 8 14 5 +14 0 0.0001 0.0006 0.0000 24.202 7.146 33 8 36 15 0.0000 0.0006 0.0000 17.369 5.490 33 8 14 5 +15 0 0.0001 0.0008 0.0000 27.948 7.750 47 11 7 4 0.0000 0.0008 0.0000 18.030 5.631 47 11 14 5 +16 0 0.0001 0.0043 0.0000 32.690 8.431 39 8 67 11 0.0000 0.0043 0.0000 18.893 5.796 39 8 14 5 +17 0 0.0002 0.0058 0.0000 38.260 9.147 38 8 52 11 0.0001 0.0058 0.0000 19.969 5.982 38 8 14 5 +18 0 0.0004 0.0096 0.0000 42.767 9.645 41 8 71 16 0.0001 0.0096 0.0000 21.169 6.175 41 8 14 5 +19 0 0.0010 0.0116 0.0000 43.425 9.411 41 8 67 12 0.0001 0.0116 0.0000 22.281 6.337 41 8 14 5 +20 0 0.0017 0.0099 0.0000 43.626 9.313 41 8 46 12 0.0002 0.0116 0.0000 23.298 6.478 41 8 14 5 +21 0 0.0020 0.0085 0.0000 46.562 9.652 34 8 71 14 0.0003 0.0116 0.0000 24.355 6.623 41 8 14 5 +22 0 0.0021 0.0086 0.0000 49.824 10.142 24 8 45 8 0.0004 0.0116 0.0000 25.463 6.776 41 8 14 5 +23 0 0.0023 0.0084 0.0000 53.420 10.607 29 8 67 12 0.0004 0.0116 0.0000 26.628 6.935 41 8 14 5 +24 0 0.0025 0.0087 0.0000 57.875 11.124 57 10 66 10 0.0005 0.0116 0.0000 27.877 7.103 41 8 14 5 +25 0 0.0026 0.0082 0.0000 61.222 11.568 76 17 69 16 0.0006 0.0116 0.0000 29.160 7.275 41 8 14 5 +26 0 0.0027 0.0097 0.0000 64.722 11.904 54 14 34 8 0.0007 0.0116 0.0000 30.477 7.446 41 8 14 5 +27 0 0.0029 0.0088 0.0000 67.130 12.143 76 15 71 14 0.0008 0.0116 0.0000 31.786 7.614 41 8 14 5 +28 0 0.0029 0.0101 0.0000 69.983 12.353 36 8 100 15 0.0008 0.0116 0.0000 33.103 7.777 41 8 14 5 +29 0 0.0030 0.0086 0.0000 72.006 12.569 36 8 78 14 0.0009 0.0116 0.0000 34.400 7.937 41 8 14 5 +30 0 0.0030 0.0101 0.0000 73.682 12.697 72 14 77 13 0.0010 0.0116 0.0000 35.667 8.091 41 8 14 5 +31 0 0.0031 0.0102 0.0000 75.515 12.852 73 14 119 17 0.0010 0.0116 0.0000 36.912 8.239 41 8 14 5 +32 0 0.0032 0.0102 0.0000 76.872 12.939 71 14 80 13 0.0011 0.0116 0.0000 38.123 8.382 41 8 14 5 +33 0 0.0033 0.0122 0.0000 80.269 13.238 80 14 105 14 0.0012 0.0122 0.0000 39.363 8.525 80 14 14 5 +34 0 0.0035 0.0128 0.0000 81.952 13.405 44 9 104 15 0.0012 0.0128 0.0000 40.580 8.664 44 9 14 5 +35 0 0.0037 0.0116 0.0000 82.982 13.510 88 14 68 11 0.0013 0.0128 0.0000 41.758 8.799 44 9 14 5 +36 0 0.0039 0.0128 0.0000 83.013 13.532 46 9 39 8 0.0014 0.0128 0.0000 42.873 8.926 44 9 14 5 +37 0 0.0041 0.0116 0.0000 84.320 13.704 79 13 111 15 0.0014 0.0128 0.0000 43.963 9.052 44 9 14 5 +38 0 0.0042 0.0126 0.0000 84.520 13.697 82 16 49 12 0.0015 0.0128 0.0000 45.003 9.171 44 9 14 5 +39 0 0.0045 0.0119 0.0000 85.794 13.814 122 17 31 9 0.0016 0.0128 0.0000 46.023 9.287 44 9 14 5 +40 0 0.0046 0.0122 0.0000 86.698 13.880 94 17 77 16 0.0017 0.0128 0.0000 47.015 9.399 44 9 14 5 +41 0 0.0047 0.0124 0.0000 87.818 13.933 94 16 108 17 0.0017 0.0128 0.0000 47.987 9.507 44 9 14 5 +42 0 0.0048 0.0129 0.0000 89.766 14.067 68 14 94 15 0.0018 0.0129 0.0000 48.958 9.613 68 14 14 5 +43 0 0.0049 0.0124 0.0000 89.900 14.097 97 15 29 8 0.0019 0.0129 0.0000 49.889 9.715 68 14 14 5 +44 0 0.0050 0.0126 0.0000 90.349 14.116 96 15 137 16 0.0019 0.0129 0.0000 50.788 9.813 68 14 14 5 +45 0 0.0050 0.0121 0.0000 90.715 14.147 123 17 118 14 0.0020 0.0129 0.0000 51.656 9.907 68 14 14 5 +46 0 0.0052 0.0120 0.0000 92.381 14.201 83 12 9 4 0.0021 0.0129 0.0000 52.522 9.999 68 14 14 5 +47 0 0.0052 0.0125 0.0000 93.718 14.266 90 15 89 16 0.0021 0.0129 0.0000 53.381 10.088 68 14 14 5 +48 0 0.0052 0.0148 0.0000 94.231 14.231 91 16 75 14 0.0022 0.0148 0.0000 54.214 10.172 91 16 14 5 +49 0 0.0053 0.0134 0.0000 95.082 14.223 122 17 119 17 0.0023 0.0148 0.0000 55.032 10.253 91 16 14 5 +50 0 0.0053 0.0135 0.0000 96.497 14.343 112 16 32 8 0.0023 0.0148 0.0000 55.845 10.333 91 16 14 5 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.sys new file mode 100644 index 0000000..2292e57 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_7/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1311. +creating initial population(s): + 5630 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 284561882 + freed: 283559282 + not freed: 1002600 + max allocated: 11200989 + malloc'ed blocks: 750447 + realloc'ed blocks: 12 + free'ed blocks: 750297 + +------- time ------- + overall: 7s wall + evaluation: 3s wall + breeding: 4s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 143869 + freed: 143869 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.bst new file mode 100644 index 0000000..608455c --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.bst @@ -0,0 +1,32 @@ +=== BEST-OF-RUN === + generation: 49 + nodes: 69 + depth: 17 + hits: 187 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 187 + raw fitness: 0.8918 + standardized fitness: 0.8918 + adjusted fitness: 0.5286 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (log (* (+ (/ (- (- 0.36684 + (+ (+ 0.13185 0.82034) 0.38921)) + (/ -0.92512 0.01134)) + (sin (log 0.51407))) + (+ (- x + (exp (cos (cos x)))) + (+ (* (* -0.97065 + (log (cos (log (cos x))))) + (* (sin 0.68262) x)) x))) -0.28416)))))))) +TREE-equ: +y = ((x * x) + ((0.59093 + x) + (((x - sin(log((log(sin((0.90139 * -0.41150))) + 0.80157)))) * (x * (x * x))) - sin(cos(cos(log((((((0.36684 - ((0.13185 + 0.82034) + 0.38921)) - (-0.92512 / 0.01134)) / sin(log(0.51407))) + ((x - exp(cos(cos(x)))) + (((-0.97065 * log(cos(log(cos(x))))) * (sin(0.68262) * x)) + x))) * -0.28416)))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.fn new file mode 100644 index 0000000..e207243 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * x) + ((0.59093 + x) + (((x - sin(log((log(sin((0.90139 * -0.41150))) + 0.80157)))) * (x * (x * x))) - sin(cos(cos(log((((((0.36684 - ((0.13185 + 0.82034) + 0.38921)) - (-0.92512 / 0.01134)) / sin(log(0.51407))) + ((x - exp(cos(cos(x)))) + (((-0.97065 * log(cos(log(cos(x))))) * (sin(0.68262) * x)) + x))) * -0.28416)))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.his b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.his new file mode 100644 index 0000000..44e71b1 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.his @@ -0,0 +1,1216 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 8 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 16040.4732 + standardized fitness: 16040.4732 + adjusted fitness: 0.0001 +TREE: + (exp (+ (- 0.40277 -0.48692) + (+ x 0.60719))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 8 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 14192.0029 + standardized fitness: 14192.0029 + adjusted fitness: 0.0001 +TREE: + (* (/ (- -0.10329 x) -0.70204) + (exp x)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 13 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13306.6145 + standardized fitness: 13306.6145 + adjusted fitness: 0.0001 +TREE: + (exp (log (+ (cos 0.36346) + (* (- (/ x -0.04567) + (log 0.44520)) x)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 13 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13306.6145 + standardized fitness: 13306.6145 + adjusted fitness: 0.0001 +TREE: + (exp (log (+ (cos 0.36346) + (* (- (/ x -0.04567) + (log 0.44520)) x)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 7 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 8 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 9 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 10 + generation: 4 + nodes: 9 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7566.6038 + standardized fitness: 7566.6038 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) 0.92316) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 31 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1757.6543 + standardized fitness: 1757.6543 + adjusted fitness: 0.0006 +TREE: + (+ (- (exp (cos (log -0.44605))) x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (sin (exp (cos (log (sin x))))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 27 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1696.8837 + standardized fitness: 1696.8837 + adjusted fitness: 0.0006 +TREE: + (+ (- (exp (cos (log -0.44605))) x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (log -0.68315))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 30 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 674.8983 + standardized fitness: 674.8983 + adjusted fitness: 0.0015 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (cos -0.18703))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 42 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 654.1574 + standardized fitness: 654.1574 + adjusted fitness: 0.0015 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (cos (+ -0.45521 + (- (log (sin (log (log (cos x))))) + (cos (sin (cos x)))))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 35 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 559.5018 + standardized fitness: 559.5018 + adjusted fitness: 0.0018 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) x) + (- (* (- x + (sin (log (- (sin (log (- (log -0.66219) + (log -0.35935)))) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (cos -0.18703))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 30 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 260.4555 + standardized fitness: 260.4555 + adjusted fitness: 0.0038 +TREE: + (+ (* (+ x + (cos (cos (* x x)))) x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (log -0.68315))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 73 + depth: 13 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 244.2168 + standardized fitness: 244.2168 + adjusted fitness: 0.0041 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) + (sin (log (- (log -0.66219) + (log (- (* (sin -0.80476) + (exp (log -0.16139))) + (log x))))))) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (cos (+ -0.45521 + (- (log (sin (log (+ (- (log (exp 0.84662)) + (sin (exp (- x x)))) + (- (/ (sin -0.57647) + (log 0.42326)) + (- (- -0.04844 x) 0.07046)))))) + (+ 0.88276 0.39857)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 50 + depth: 10 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 149.4192 + standardized fitness: 149.4192 + adjusted fitness: 0.0066 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) + (sin (log (- (log -0.66219) + (log (- (* (sin -0.80476) + (exp (log -0.16139))) + (log x))))))) + (- (* (- x + (sin (log (- (log -0.66219) + (log (exp (log 0.51407))))))) + (* x + (* x x))) + (cos (+ -0.45521 + (- x + (+ 0.88276 0.39857)))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 39 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 128.5912 + standardized fitness: 128.5912 + adjusted fitness: 0.0077 +TREE: + (+ (* (+ x + (cos (log (exp (* (+ 0.42176 0.05795) + (* 0.78083 -0.24185)))))) x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin (exp (cos (sin (log (sin 0.06224))))))))))) + (* x + (* x x))) + (log -0.68315))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 50 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 52.6262 + standardized fitness: 52.6262 + adjusted fitness: 0.0186 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) + (sin (log (- (log -0.66219) + (log (- (* (sin -0.80476) + (exp (log -0.16139))) + (log x))))))) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (cos (log (log (/ x + (cos 0.58096))))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 37 + depth: 10 + hits: 9 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 9 + raw fitness: 51.5052 + standardized fitness: 51.5052 + adjusted fitness: 0.0190 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) + (log 0.51407)) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (cos (log (log (/ x + (cos 0.58096))))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 21 + nodes: 37 + depth: 10 + hits: 9 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 9 + raw fitness: 51.5052 + standardized fitness: 51.5052 + adjusted fitness: 0.0190 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) + (log 0.51407)) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (cos (log (log (/ x + (cos 0.58096))))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 38 + depth: 10 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 41.5341 + standardized fitness: 41.5341 + adjusted fitness: 0.0235 +TREE: + (+ (- (+ x + (* (/ x 0.97127) x)) + (sin (log (log (cos (exp (exp -0.22558))))))) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (cos (log 0.51407)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 32 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 29.5739 + standardized fitness: 29.5739 + adjusted fitness: 0.0327 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (sin (cos (cos (log -0.39047))))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 24 + nodes: 32 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 29.5739 + standardized fitness: 29.5739 + adjusted fitness: 0.0327 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (sin (cos (cos (log -0.39047))))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 24 + nodes: 32 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 29.5739 + standardized fitness: 29.5739 + adjusted fitness: 0.0327 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (sin (cos (cos (log -0.39047))))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 24 + nodes: 32 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 29.5739 + standardized fitness: 29.5739 + adjusted fitness: 0.0327 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (sin (cos (cos (log -0.39047))))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 24 + nodes: 32 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 29.5739 + standardized fitness: 29.5739 + adjusted fitness: 0.0327 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (sin (cos (cos (log -0.39047))))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 33 + depth: 13 + hits: 55 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 55 + raw fitness: 28.2837 + standardized fitness: 28.2837 + adjusted fitness: 0.0341 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin (log (- (log -0.66219) + (log -0.44605))))))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 32 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 20.8713 + standardized fitness: 20.8713 + adjusted fitness: 0.0457 +TREE: + (+ (- (+ x + (* x x)) + (sin 0.54409)) + (- (* (- x + (sin (log (cos (/ (exp -0.82544) + (sin (* -0.72501 -0.45102))))))) + (* x + (* x x))) + (sin (+ 0.23407 -0.66017)))) +=== BEST-OF-RUN === + current generation: 31 + generation: 31 + nodes: 28 + depth: 10 + hits: 73 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 73 + raw fitness: 12.3304 + standardized fitness: 12.3304 + adjusted fitness: 0.0750 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin 0.97127)))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 31 + nodes: 28 + depth: 10 + hits: 73 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 73 + raw fitness: 12.3304 + standardized fitness: 12.3304 + adjusted fitness: 0.0750 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin 0.97127)))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 31 + nodes: 28 + depth: 10 + hits: 73 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 73 + raw fitness: 12.3304 + standardized fitness: 12.3304 + adjusted fitness: 0.0750 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin 0.97127)))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 31 + nodes: 28 + depth: 10 + hits: 73 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 73 + raw fitness: 12.3304 + standardized fitness: 12.3304 + adjusted fitness: 0.0750 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin 0.97127)))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 31 + nodes: 28 + depth: 10 + hits: 73 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 73 + raw fitness: 12.3304 + standardized fitness: 12.3304 + adjusted fitness: 0.0750 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin 0.97127)))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 31 + nodes: 28 + depth: 10 + hits: 73 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 73 + raw fitness: 12.3304 + standardized fitness: 12.3304 + adjusted fitness: 0.0750 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (- (log -0.66219) + (log (sin 0.97127)))))) + (* x + (* x x))) + (sin (cos 0.88276))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 37 + nodes: 31 + depth: 11 + hits: 109 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 109 + raw fitness: 2.7985 + standardized fitness: 2.7985 + adjusted fitness: 0.2633 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (exp -0.78525))))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 37 + nodes: 31 + depth: 11 + hits: 109 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 109 + raw fitness: 2.7985 + standardized fitness: 2.7985 + adjusted fitness: 0.2633 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (exp -0.78525))))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 39 + nodes: 29 + depth: 11 + hits: 114 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 114 + raw fitness: 2.4118 + standardized fitness: 2.4118 + adjusted fitness: 0.2931 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos 0.89073))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 40 + nodes: 36 + depth: 11 + hits: 115 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 115 + raw fitness: 2.3967 + standardized fitness: 2.3967 + adjusted fitness: 0.2944 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (sin (log (- (log -0.66219) + (log -0.35935)))))))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 41 + nodes: 36 + depth: 11 + hits: 116 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 116 + raw fitness: 2.3745 + standardized fitness: 2.3745 + adjusted fitness: 0.2963 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (sin (log (- (cos 0.90896) + (log -0.35935)))))))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 41 + nodes: 36 + depth: 11 + hits: 116 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 116 + raw fitness: 2.3745 + standardized fitness: 2.3745 + adjusted fitness: 0.2963 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (sin (log (- (cos 0.90896) + (log -0.35935)))))))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 41 + nodes: 36 + depth: 11 + hits: 116 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 116 + raw fitness: 2.3745 + standardized fitness: 2.3745 + adjusted fitness: 0.2963 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (sin (log (- (cos 0.90896) + (log -0.35935)))))))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 41 + nodes: 36 + depth: 11 + hits: 116 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 116 + raw fitness: 2.3745 + standardized fitness: 2.3745 + adjusted fitness: 0.2963 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (sin (log (- (cos 0.90896) + (log -0.35935)))))))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 41 + nodes: 36 + depth: 11 + hits: 116 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 116 + raw fitness: 2.3745 + standardized fitness: 2.3745 + adjusted fitness: 0.2963 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (sin (log (- (cos 0.90896) + (log -0.35935)))))))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 58 + depth: 14 + hits: 160 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 160 + raw fitness: 1.3504 + standardized fitness: 1.3504 + adjusted fitness: 0.4255 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (log (* (+ (/ (- (- 0.36684 + (+ (+ 0.13185 0.82034) 0.38921)) + (/ -0.92512 0.01134)) + (sin (log 0.51407))) + (+ (- x + (exp (cos (cos x)))) + (+ x x))) -0.28416)))))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 46 + nodes: 58 + depth: 14 + hits: 160 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 160 + raw fitness: 1.3504 + standardized fitness: 1.3504 + adjusted fitness: 0.4255 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (log (* (+ (/ (- (- 0.36684 + (+ (+ 0.13185 0.82034) 0.38921)) + (/ -0.92512 0.01134)) + (sin (log 0.51407))) + (+ (- x + (exp (cos (cos x)))) + (+ x x))) -0.28416)))))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 61 + depth: 14 + hits: 162 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 162 + raw fitness: 1.1416 + standardized fitness: 1.1416 + adjusted fitness: 0.4669 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (log (* (+ (/ (- (- 0.36684 + (+ (+ 0.13185 0.82034) 0.38921)) + (/ -0.92512 0.01134)) + (sin (log 0.51407))) + (+ (- (cos (exp (cos 0.11565))) + (exp (cos (cos x)))) + (+ x x))) -0.28416)))))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 69 + depth: 17 + hits: 187 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 187 + raw fitness: 0.8918 + standardized fitness: 0.8918 + adjusted fitness: 0.5286 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (log (* (+ (/ (- (- 0.36684 + (+ (+ 0.13185 0.82034) 0.38921)) + (/ -0.92512 0.01134)) + (sin (log 0.51407))) + (+ (- x + (exp (cos (cos x)))) + (+ (* (* -0.97065 + (log (cos (log (cos x))))) + (* (sin 0.68262) x)) x))) -0.28416)))))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 49 + nodes: 69 + depth: 17 + hits: 187 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 187 + raw fitness: 0.8918 + standardized fitness: 0.8918 + adjusted fitness: 0.5286 +TREE: + (+ (* x x) + (+ (+ 0.59093 x) + (- (* (- x + (sin (log (+ (log (sin (* 0.90139 -0.41150))) 0.80157)))) + (* x + (* x x))) + (sin (cos (cos (log (* (+ (/ (- (- 0.36684 + (+ (+ 0.13185 0.82034) 0.38921)) + (/ -0.92512 0.01134)) + (sin (log 0.51407))) + (+ (- x + (exp (cos (cos x)))) + (+ (* (* -0.97065 + (log (cos (log (cos x))))) + (* (sin 0.68262) x)) x))) -0.28416)))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.prg new file mode 100644 index 0000000..176dbd6 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 1.52636, y = 12.84019 + x = -2.85386, y = 48.38079 + x = -0.09966, y = -0.09062 + x = -2.97260, y = 57.67749 + x = 3.55227, y = 220.22640 + x = -0.06671, y = -0.06254 + x = -3.35075, y = 96.31384 + x = -0.65099, y = -0.32349 + x = 4.87072, y = 706.97124 + x = -0.83668, y = -0.23230 + x = 1.23723, y = 7.00494 + x = -4.16235, y = 241.21174 + x = -4.95605, y = 501.18510 + x = -3.18079, y = 77.11752 + x = -4.94539, y = 496.70008 + x = -0.39897, y = -0.27796 + x = 0.18408, y = 0.22535 + x = -3.96058, y = 195.65649 + x = 0.15118, y = 0.17802 + x = -1.52997, y = 2.70886 + x = -4.07959, y = 221.65698 + x = 0.45231, y = 0.79128 + x = -3.18273, y = 77.31938 + x = -3.71542, y = 149.36046 + x = -2.33939, y = 20.28145 + x = -4.66018, y = 387.48978 + x = 3.95808, y = 327.06933 + x = 0.10812, y = 0.12121 + x = 4.59573, y = 568.86892 + x = 4.45407, y = 506.23280 + x = 0.10668, y = 0.11941 + x = 2.40528, y = 55.57662 + x = -3.70107, y = 146.93221 + x = -4.56181, y = 354.37853 + x = 2.94238, y = 112.02824 + x = 4.74845, y = 642.76701 + x = 3.77897, y = 275.96047 + x = -2.26578, y = 17.59139 + x = 4.44253, y = 501.36801 + x = -1.44835, y = 2.01159 + x = -0.60238, y = -0.32643 + x = 2.93592, y = 111.15977 + x = -1.05288, y = 0.11739 + x = -2.70565, y = 38.39846 + x = -4.00778, y = 205.67720 + x = -1.23128, y = 0.71651 + x = 4.18568, y = 401.98550 + x = 3.02696, y = 123.87466 + x = -2.80194, y = 44.68739 + x = 2.62094, y = 74.68240 + x = 4.62170, y = 580.95430 + x = 4.79136, y = 664.77370 + x = -4.96731, y = 505.95594 + x = -4.42226, y = 311.10314 + x = -0.15211, y = -0.13196 + x = 4.12109, y = 379.52811 + x = -4.15280, y = 238.89014 + x = -0.53785, y = -0.32047 + x = -0.91498, y = -0.14292 + x = 3.80382, y = 282.66437 + x = 1.15432, y = 5.80033 + x = 3.91502, y = 314.17921 + x = -0.09352, y = -0.08551 + x = 1.31907, y = 8.38161 + x = 4.76570, y = 651.54388 + x = 3.30131, y = 168.95993 + x = 1.89052, y = 24.99555 + x = 2.74961, y = 88.25640 + x = -4.17301, y = 243.82072 + x = 1.28590, y = 7.79988 + x = 0.41535, y = 0.68929 + x = 2.15712, y = 38.49963 + x = 3.84136, y = 293.02077 + x = 2.53024, y = 66.11831 + x = -1.15167, y = 0.40634 + x = -3.87094, y = 177.63690 + x = 0.41962, y = 0.70058 + x = -3.76047, y = 157.17557 + x = 1.43669, y = 10.72658 + x = -1.46048, y = 2.10698 + x = 4.49262, y = 522.73319 + x = -0.50407, y = -0.31350 + x = -3.97691, y = 199.08015 + x = -4.20809, y = 252.55650 + x = -1.70025, y = 4.63245 + x = 1.19166, y = 6.32046 + x = -2.50120, y = 27.24499 + x = -0.02014, y = -0.01974 + x = -4.32751, y = 284.07044 + x = 4.64107, y = 590.10035 + x = -2.14207, y = 13.67161 + x = -3.97064, y = 197.76028 + x = -3.09276, y = 68.38240 + x = -1.84337, y = 6.83736 + x = 3.13629, y = 140.57555 + x = 2.24051, y = 43.70648 + x = 4.09456, y = 370.58670 + x = 1.41688, y = 10.29916 + x = 3.44602, y = 197.25882 + x = 4.86317, y = 702.87102 + x = 3.34910, y = 177.94006 + x = 2.94615, y = 112.53714 + x = -3.40973, y = 103.74415 + x = 3.65854, y = 245.16767 + x = 3.12832, y = 139.30348 + x = 0.12576, y = 0.14382 + x = 3.76827, y = 273.11196 + x = 4.24078, y = 421.92445 + x = 2.27799, y = 46.21639 + x = 3.65623, y = 244.60494 + x = 1.62229, y = 15.45014 + x = 0.86734, y = 2.83804 + x = -1.21034, y = 0.62753 + x = -0.55605, y = -0.32319 + x = 0.94589, y = 3.48742 + x = 0.12496, y = 0.14277 + x = 2.00779, y = 30.38350 + x = -3.25015, y = 84.56701 + x = 3.18278, y = 148.17374 + x = -2.47481, y = 26.00420 + x = 4.20675, y = 409.52300 + x = -4.52636, y = 342.98033 + x = 4.30359, y = 445.55365 + x = -4.03618, y = 211.89090 + x = 2.93680, y = 111.27756 + x = 2.46920, y = 60.79369 + x = 0.56685, y = 1.17355 + x = -4.81718, y = 445.08630 + x = 4.40192, y = 484.53740 + x = 3.72257, y = 261.19627 + x = -2.63921, y = 34.46025 + x = 1.17883, y = 6.13778 + x = -1.03846, y = 0.08301 + x = 2.78046, y = 91.77440 + x = 1.91724, y = 26.15185 + x = -1.37472, y = 1.48867 + x = -4.29373, y = 274.87256 + x = 1.57914, y = 14.22926 + x = -0.15398, y = -0.13336 + x = 3.17479, y = 146.84550 + x = 4.18387, y = 401.34322 + x = -4.25106, y = 263.57611 + x = 1.79708, y = 21.25981 + x = 3.14730, y = 142.34725 + x = -4.56567, y = 355.63600 + x = -2.61571, y = 33.14205 + x = -3.27423, y = 87.27535 + x = -4.05658, y = 216.44021 + x = 0.21983, y = 0.28112 + x = -4.33291, y = 285.56185 + x = -3.32634, y = 93.35826 + x = 3.91174, y = 313.21208 + x = 2.01496, y = 30.74021 + x = 4.72345, y = 630.19805 + x = 2.50238, y = 63.64533 + x = -2.82973, y = 46.63716 + x = -1.01539, y = 0.03173 + x = -1.19019, y = 0.54701 + x = -3.25870, y = 85.52171 + x = -0.49696, y = -0.31173 + x = -0.58051, y = -0.32558 + x = -2.81088, y = 45.30767 + x = -0.60524, y = -0.32645 + x = 4.10320, y = 373.48161 + x = 4.47236, y = 514.01112 + x = 0.87334, y = 2.88396 + x = 4.07026, y = 362.53669 + x = 0.64236, y = 1.49030 + x = -0.99038, y = -0.01888 + x = -1.43839, y = 1.93524 + x = -1.60081, y = 3.42644 + x = 1.06437, y = 4.68650 + x = 1.53002, y = 12.93285 + x = 2.51569, y = 64.81800 + x = -4.14847, y = 237.84335 + x = -4.70499, y = 403.32269 + x = -1.54132, y = 2.81649 + x = 4.58014, y = 561.70216 + x = -1.53856, y = 2.79006 + x = 0.76653, y = 2.14972 + x = -1.51541, y = 2.57475 + x = -3.24296, y = 83.77139 + x = 3.44152, y = 196.32911 + x = -0.10113, y = -0.09183 + x = -0.69693, y = -0.31381 + x = -4.82833, y = 449.40913 + x = -3.21593, y = 80.82747 + x = -0.14166, y = -0.12403 + x = 3.30810, y = 170.21391 + x = -3.95611, y = 194.72592 + x = -0.44498, y = -0.29588 + x = 0.06391, y = 0.06828 + x = -2.43048, y = 24.01466 + x = -3.71559, y = 149.38854 + x = -0.22440, y = -0.18281 + x = -1.88050, y = 7.51110 + x = -0.78108, y = -0.27532 + x = 4.28139, y = 437.08925 + x = 2.29577, y = 47.44485 + x = -4.86068, y = 462.12389 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.stt new file mode 100644 index 0000000..288b1da --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.445 3.713 8 3 12 3 0.0000 0.0001 0.0000 13.445 3.713 8 3 12 3 +1 0 0.0000 0.0001 0.0000 13.459 4.178 8 3 38 7 0.0000 0.0001 0.0000 13.452 3.946 8 3 12 3 +2 0 0.0000 0.0001 0.0000 14.414 4.554 13 6 7 4 0.0000 0.0001 0.0000 13.773 4.148 13 6 12 3 +3 0 0.0000 0.0001 0.0000 14.617 4.772 33 5 17 6 0.0000 0.0001 0.0000 13.984 4.304 13 6 12 3 +4 0 0.0000 0.0001 0.0000 15.468 5.070 9 3 10 4 0.0000 0.0001 0.0000 14.280 4.457 9 3 12 3 +5 0 0.0000 0.0001 0.0000 15.673 5.151 19 5 6 4 0.0000 0.0001 0.0000 14.513 4.573 9 3 12 3 +6 0 0.0000 0.0001 0.0000 15.894 5.286 21 7 15 7 0.0000 0.0001 0.0000 14.710 4.675 9 3 12 3 +7 0 0.0000 0.0001 0.0000 16.190 5.425 21 7 27 9 0.0000 0.0001 0.0000 14.895 4.769 9 3 12 3 +8 0 0.0000 0.0001 0.0000 17.002 5.592 14 5 28 7 0.0000 0.0001 0.0000 15.129 4.860 9 3 12 3 +9 0 0.0000 0.0001 0.0000 17.919 5.845 12 4 9 5 0.0000 0.0001 0.0000 15.408 4.959 9 3 12 3 +10 0 0.0000 0.0001 0.0000 19.043 6.058 9 3 28 10 0.0000 0.0001 0.0000 15.739 5.059 9 3 12 3 +11 0 0.0000 0.0006 0.0000 19.815 6.203 31 10 14 4 0.0000 0.0006 0.0000 16.078 5.154 31 10 12 3 +12 0 0.0000 0.0006 0.0000 20.786 6.311 27 10 6 4 0.0000 0.0006 0.0000 16.440 5.243 27 10 12 3 +13 0 0.0000 0.0015 0.0000 23.135 6.719 30 10 24 7 0.0000 0.0015 0.0000 16.919 5.348 30 10 12 3 +14 0 0.0001 0.0015 0.0000 27.516 7.584 42 10 35 11 0.0000 0.0015 0.0000 17.625 5.497 42 10 12 3 +15 0 0.0002 0.0018 0.0000 34.402 9.034 35 11 47 12 0.0000 0.0018 0.0000 18.674 5.718 35 11 12 3 +16 0 0.0002 0.0038 0.0000 39.552 9.988 30 10 55 13 0.0001 0.0038 0.0000 19.902 5.970 30 10 12 3 +17 0 0.0003 0.0041 0.0000 43.399 10.548 73 13 81 17 0.0001 0.0041 0.0000 21.207 6.224 73 13 12 3 +18 0 0.0004 0.0066 0.0000 47.428 11.057 50 10 49 11 0.0001 0.0066 0.0000 22.587 6.478 50 10 12 3 +19 0 0.0006 0.0077 0.0000 51.281 11.441 39 14 9 4 0.0001 0.0077 0.0000 24.022 6.726 39 14 12 3 +20 0 0.0010 0.0186 0.0000 54.665 11.804 50 10 75 17 0.0002 0.0186 0.0000 25.481 6.968 50 10 12 3 +21 0 0.0019 0.0190 0.0000 58.651 12.192 37 10 45 11 0.0002 0.0190 0.0000 26.989 7.206 37 10 12 3 +22 0 0.0025 0.0171 0.0000 61.949 12.432 45 10 121 16 0.0003 0.0190 0.0000 28.509 7.433 37 10 12 3 +23 0 0.0029 0.0235 0.0000 64.410 12.622 38 10 40 10 0.0004 0.0235 0.0000 30.005 7.649 38 10 12 3 +24 0 0.0032 0.0327 0.0000 66.357 12.756 32 11 69 10 0.0005 0.0327 0.0000 31.459 7.853 32 11 12 3 +25 0 0.0035 0.0264 0.0000 68.252 12.941 31 13 70 14 0.0007 0.0327 0.0000 32.874 8.049 32 11 12 3 +26 0 0.0040 0.0279 0.0000 71.801 13.249 47 13 80 15 0.0008 0.0327 0.0000 34.316 8.242 32 11 12 3 +27 0 0.0049 0.0287 0.0000 74.621 13.572 39 13 131 17 0.0009 0.0327 0.0000 35.755 8.432 32 11 12 3 +28 0 0.0059 0.0301 0.0000 77.405 13.902 48 13 59 17 0.0011 0.0327 0.0000 37.191 8.621 32 11 12 3 +29 0 0.0067 0.0341 0.0000 80.681 14.191 33 13 105 17 0.0013 0.0341 0.0000 38.641 8.806 33 13 12 3 +30 0 0.0073 0.0457 0.0000 82.899 14.435 32 10 58 14 0.0015 0.0457 0.0000 40.069 8.988 32 10 12 3 +31 0 0.0081 0.0750 0.0000 84.357 14.560 28 10 93 15 0.0017 0.0750 0.0000 41.453 9.162 28 10 12 3 +32 0 0.0084 0.0616 0.0000 84.724 14.524 28 11 126 16 0.0019 0.0750 0.0000 42.764 9.324 28 10 12 3 +33 0 0.0086 0.0375 0.0000 84.401 14.480 49 13 102 14 0.0021 0.0750 0.0000 43.989 9.476 28 10 12 3 +34 0 0.0093 0.0356 0.0000 84.808 14.457 69 13 42 8 0.0023 0.0750 0.0000 45.155 9.618 28 10 12 3 +35 0 0.0100 0.0603 0.0000 85.133 14.460 80 17 78 14 0.0025 0.0750 0.0000 46.265 9.753 28 10 12 3 +36 0 0.0106 0.0688 0.0000 85.398 14.420 73 17 105 17 0.0027 0.0750 0.0000 47.323 9.879 28 10 12 3 +37 0 0.0112 0.2633 0.0000 85.633 14.402 31 11 148 17 0.0030 0.2633 0.0000 48.331 9.998 31 11 12 3 +38 0 0.0120 0.0743 0.0000 86.424 14.463 70 17 50 10 0.0032 0.2633 0.0000 49.308 10.113 31 11 12 3 +39 0 0.0131 0.2931 0.0000 86.888 14.487 29 11 86 17 0.0034 0.2931 0.0000 50.247 10.222 29 11 12 3 +40 0 0.0150 0.2944 0.0000 86.297 14.460 36 11 117 17 0.0037 0.2944 0.0000 51.127 10.325 36 11 12 3 +41 0 0.0171 0.2963 0.0000 82.642 14.346 36 11 84 15 0.0040 0.2963 0.0000 51.877 10.421 36 11 12 3 +42 0 0.0208 0.2963 0.0000 78.747 14.323 36 11 36 10 0.0044 0.2963 0.0000 52.502 10.512 36 11 12 3 +43 0 0.0254 0.2944 0.0000 73.464 14.304 36 11 46 11 0.0049 0.2963 0.0000 52.978 10.598 36 11 12 3 +44 0 0.0290 0.2944 0.0000 69.415 14.384 36 11 63 13 0.0054 0.2963 0.0000 53.344 10.682 36 11 12 3 +45 0 0.0316 0.2944 0.0000 66.764 14.350 36 11 89 17 0.0060 0.2963 0.0000 53.635 10.762 36 11 12 3 +46 0 0.0348 0.4255 0.0000 66.484 14.444 58 14 91 17 0.0066 0.4255 0.0000 53.909 10.840 58 14 12 3 +47 0 0.0360 0.4255 0.0000 64.582 14.304 58 14 80 17 0.0072 0.4255 0.0000 54.131 10.912 58 14 12 3 +48 0 0.0390 0.4669 0.0000 63.660 14.225 61 14 59 15 0.0079 0.4669 0.0000 54.325 10.980 61 14 12 3 +49 0 0.0473 0.5286 0.0000 65.115 14.486 69 17 39 11 0.0087 0.5286 0.0000 54.541 11.050 69 17 12 3 +50 0 0.0599 0.5286 0.0000 65.020 14.497 69 17 33 11 0.0097 0.5286 0.0000 54.747 11.118 69 17 12 3 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.sys new file mode 100644 index 0000000..ac56948 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_8/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 96. +creating initial population(s): + 5632 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 278369792 + freed: 277367192 + not freed: 1002600 + max allocated: 10224483 + malloc'ed blocks: 743722 + realloc'ed blocks: 12 + free'ed blocks: 743572 + +------- time ------- + overall: 7s wall + evaluation: 5s wall + breeding: 2s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 144201 + freed: 144201 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.bst b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.bst new file mode 100644 index 0000000..ab81592 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 20 + nodes: 24 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (* (* x x) x) x)) + (- (* x x) + (log (- x x)))) +TREE-equ: +y = ((((x * x) * (x * x)) + (((x * x) * x) + x)) + ((x * x) - log((x - x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.fn b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.fn new file mode 100644 index 0000000..92062e2 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * x) * (x * x)) + (((x * x) * x) + x)) + ((x * x) - log((x - x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.gen b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.his b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.his new file mode 100644 index 0000000..0d18a7d --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.his @@ -0,0 +1,504 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 11 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6919.9589 + standardized fitness: 6919.9589 + adjusted fitness: 0.0001 +TREE: + (+ (* (* x x) + (* x x)) + (exp (exp 0.20073))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6868.3559 + standardized fitness: 6868.3559 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 15 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6843.4245 + standardized fitness: 6843.4245 + adjusted fitness: 0.0001 +TREE: + (+ (* (* x x) + (* x x)) + (sin (exp (+ -0.13335 + (+ x -0.80502))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 11 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6840.5162 + standardized fitness: 6840.5162 + adjusted fitness: 0.0001 +TREE: + (+ (* (* x x) + (* x x)) + (exp (sin x))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 28 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4285.5116 + standardized fitness: 4285.5116 + adjusted fitness: 0.0002 +TREE: + (* (sin -0.44370) + (* (* x + (- (sin (exp (cos (exp -0.80171)))) + (* (+ 0.77707 x) + (/ x -0.39193)))) + (- (log (- (log -0.06602) + (- -0.97680 0.25231))) x))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 10 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3843.2560 + standardized fitness: 3843.2560 + adjusted fitness: 0.0003 +TREE: + (+ (* (* x x) + (* x x)) + (exp x)) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 42 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3433.4323 + standardized fitness: 3433.4323 + adjusted fitness: 0.0003 +TREE: + (* (sin -0.44370) + (* (* x + (- (sin (exp (exp (cos 0.26201)))) + (* (* x 0.85361) + (/ x -0.39193)))) + (- (log (* (- (sin 0.69144) + (log (cos (- (cos (log x)) + (+ (sin -0.88156) + (- -0.74503 -0.75212)))))) + (cos (- -0.97603 0.98462)))) x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 19 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2356.2240 + standardized fitness: 2356.2240 + adjusted fitness: 0.0004 +TREE: + (* (sin -0.44370) + (* (* x + (- (sin -0.76685) + (* (+ 0.77707 x) + (/ x -0.39193)))) + (- -0.54764 x))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 43 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1519.5484 + standardized fitness: 1519.5484 + adjusted fitness: 0.0007 +TREE: + (* (sin -0.44370) + (* (* x + (- (sin (exp (exp (cos 0.26201)))) + (* (* x 0.85361) + (/ x -0.39193)))) + (- (log (* (- (sin 0.69144) + (log (cos (- (cos (- 0.32313 + (sin x))) + (/ 0.33046 + (/ x 0.98293)))))) + (cos (- -0.97603 0.98462)))) x))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 33 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1347.4710 + standardized fitness: 1347.4710 + adjusted fitness: 0.0007 +TREE: + (* (sin -0.44370) + (* (* x + (- (sin (* (sin (/ x + (cos -0.46005))) + (sin 0.32415))) + (* (+ 0.77707 x) + (/ x -0.39193)))) + (- (log (- (log (exp -0.36230)) + (- -0.97680 0.25231))) x))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 49 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1115.2966 + standardized fitness: 1115.2966 + adjusted fitness: 0.0009 +TREE: + (* (sin -0.44370) + (* (* x + (- (+ (log (* x x)) + (+ (exp -0.97650) + (* x 0.19074))) + (* (* x 0.85361) + (/ x -0.39193)))) + (- (log (* (- (sin 0.69144) + (log (cos (- (cos (- 0.32313 + (sin x))) + (/ 0.33046 + (/ x 0.98293)))))) + (cos (- -0.97603 0.98462)))) x))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 42 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 856.0167 + standardized fitness: 856.0167 + adjusted fitness: 0.0012 +TREE: + (* (sin -0.44370) + (* (* x + (- (exp (/ -0.68785 -0.95008)) + (* (* x 0.85361) + (/ x -0.39193)))) + (- (log (* (- (sin 0.69144) + (log (cos (- (cos (- 0.32313 + (sin x))) + (/ 0.33046 + (/ x 0.98293)))))) + (cos (- -0.97603 0.98462)))) x))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 40 + depth: 7 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 800.2637 + standardized fitness: 800.2637 + adjusted fitness: 0.0012 +TREE: + (* (sin -0.44370) + (* (* x + (- (+ (log (* x x)) + (+ (exp -0.97650) + (* x 0.19074))) + (* (* x 0.85361) + (/ x -0.39193)))) + (- (log (* (/ (+ x -0.22176) + (- 0.04308 x)) + (cos (- -0.97603 0.98462)))) x))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 47 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 741.8830 + standardized fitness: 741.8830 + adjusted fitness: 0.0013 +TREE: + (* (sin -0.44370) + (* (* x + (- x + (* (* x 0.85361) + (/ x -0.39193)))) + (- (log (* (- (sin 0.69144) + (log (cos (- (log (exp (log 0.63138))) + (+ (sin -0.88156) + (sin (* (sin (/ 0.33046 + (/ x 0.98293))) + (* x x)))))))) + (cos (- -0.97603 0.98462)))) x))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 46 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 530.5180 + standardized fitness: 530.5180 + adjusted fitness: 0.0019 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (+ (* (* x x) x) x) + (- (cos (* (- (* (* x x) + (* x x)) + (log 0.90493)) 0.80307)) + (exp 0.50328)))) + (- (* x x) + (log (/ (+ -0.51380 + (/ 0.97044 -0.81681)) + (sin x))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 45 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 321.9363 + standardized fitness: 321.9363 + adjusted fitness: 0.0031 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (+ (* (* x x) x) x) + (- (cos (* (- (* (* x x) + (* x x)) + (log 0.90493)) 0.80307)) 0.61123))) + (- (* x x) + (log (/ (+ -0.51380 + (/ 0.97044 -0.81681)) + (sin x))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 43 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 134.6465 + standardized fitness: 134.6465 + adjusted fitness: 0.0074 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (+ (* (* x x) x) x) + (- (cos (* (- (* (* x x) + (* x x)) + (log 0.90493)) 0.80307)) 0.61123))) + (- (* x x) + (log (cos (cos (sin (- x x))))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 42 + depth: 9 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 127.8535 + standardized fitness: 127.8535 + adjusted fitness: 0.0078 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (+ (* (* x x) x) x) + (- (cos (* (- (* (exp 0.50328) + (* x x)) + (log 0.90493)) 0.80307)) 0.61123))) + (- (* x x) + (log (cos (cos (sin (- x x))))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 38 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 77.3014 + standardized fitness: 77.3014 + adjusted fitness: 0.0128 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (+ (* (* x x) x) x) + (* -0.08608 -0.43864))) + (- (* x x) + (log (cos (cos (sin (- (* (log (* x x)) x) + (+ x 0.88476)))))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 59 + depth: 17 + hits: 58 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 58 + raw fitness: 3.7686 + standardized fitness: 3.7686 + adjusted fitness: 0.2097 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (+ (* (* x x) x) x) + (- (cos (* (sin (/ 0.33046 + (/ (cos (log x)) + (+ (* (exp (log (exp 0.99659))) + (* (log (* x + (- x + (* (+ 0.77707 x) + (/ x -0.39193))))) 0.81904)) + (log -0.17707))))) + (sin 0.32415))) + (exp -0.44061)))) + (- (* x x) + (sin 0.32415))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 24 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ (* (* x x) + (* x x)) + (+ (* (* x x) x) x)) + (- (* x x) + (log (- x x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.prg b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.prg new file mode 100644 index 0000000..5faa534 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -0.83273, y = -0.23588 + x = -1.70446, y = 4.68910 + x = -2.66994, y = 36.24241 + x = 2.06133, y = 33.12386 + x = -1.87308, y = 7.37276 + x = 1.93094, y = 26.76092 + x = -3.43628, y = 107.22515 + x = 3.32506, y = 173.37869 + x = -2.82013, y = 45.95646 + x = 0.61137, y = 1.35337 + x = -4.69300, y = 399.03864 + x = 1.34767, y = 8.91018 + x = -3.25392, y = 84.98734 + x = 4.90641, y = 726.59313 + x = -1.22406, y = 0.68520 + x = 4.59231, y = 567.28840 + x = -4.60150, y = 367.47062 + x = 1.27179, y = 7.56247 + x = 2.79953, y = 94.00266 + x = -3.01392, y = 61.20615 + x = -0.62636, y = -0.32585 + x = -1.10609, y = 0.26092 + x = -2.47623, y = 26.07006 + x = -3.99562, y = 203.06057 + x = -3.97904, y = 199.53102 + x = -1.18890, y = 0.54204 + x = 3.26356, y = 162.11314 + x = -1.37653, y = 1.50043 + x = -1.86464, y = 7.21784 + x = 2.32292, y = 49.36983 + x = 4.49813, y = 525.12493 + x = 3.06645, y = 129.72309 + x = -3.26887, y = 86.66679 + x = 0.62059, y = 1.39304 + x = 1.44986, y = 11.01843 + x = -1.49197, y = 2.36790 + x = 2.29049, y = 47.07773 + x = 2.56260, y = 69.08214 + x = 3.71493, y = 259.24298 + x = -4.75813, y = 422.71878 + x = 1.87453, y = 24.32226 + x = -1.65253, y = 4.02310 + x = 0.77665, y = 2.21211 + x = 1.26210, y = 7.40269 + x = 4.01562, y = 344.91667 + x = -4.43758, y = 315.64983 + x = -4.84912, y = 457.54974 + x = 1.50463, y = 12.30023 + x = 3.49686, y = 208.00931 + x = 4.71617, y = 626.57432 + x = 1.43580, y = 10.70704 + x = 3.18721, y = 148.91322 + x = 0.92899, y = 3.33859 + x = 0.55146, y = 1.11577 + x = 0.35356, y = 0.53840 + x = 1.10081, y = 5.11495 + x = -3.43560, y = 107.13491 + x = 1.70947, y = 18.16722 + x = -4.38853, y = 301.26686 + x = 4.61890, y = 579.64212 + x = 4.64045, y = 589.80321 + x = -0.99888, y = -0.00224 + x = 4.61013, y = 575.54800 + x = -3.06200, y = 65.51155 + x = 3.73685, y = 264.87605 + x = 1.95953, y = 28.06729 + x = -4.42898, y = 313.08954 + x = 0.48398, y = 0.88645 + x = -4.10921, y = 228.51431 + x = -1.78648, y = 5.88915 + x = 4.44143, y = 500.90722 + x = -1.10613, y = 0.26103 + x = 2.77493, y = 91.13666 + x = 3.08337, y = 132.29019 + x = 0.55028, y = 1.11142 + x = 1.18643, y = 6.24547 + x = 2.96492, y = 115.09615 + x = 1.97230, y = 28.66639 + x = 0.65081, y = 1.52943 + x = -0.07985, y = -0.07394 + x = -2.75330, y = 41.42221 + x = -3.44592, y = 108.51074 + x = -1.98801, y = 9.72688 + x = -1.48354, y = 2.29615 + x = 2.68248, y = 80.95806 + x = 0.49701, y = 0.92781 + x = 3.45632, y = 199.40305 + x = 4.79313, y = 665.69670 + x = 1.88374, y = 24.70831 + x = 4.49032, y = 521.73874 + x = -2.06300, y = 11.52608 + x = -3.19349, y = 78.44329 + x = 1.67181, y = 16.95115 + x = 0.50140, y = 0.94207 + x = -4.19956, y = 250.41075 + x = -2.01934, y = 10.45207 + x = 0.57254, y = 1.19546 + x = 2.69328, y = 82.10054 + x = -4.28818, y = 273.38471 + x = -2.17081, y = 14.51862 + x = -2.40250, y = 22.81828 + x = -1.82142, y = 6.45979 + x = -4.14618, y = 237.29258 + x = -1.42329, y = 1.82290 + x = 2.46947, y = 60.81657 + x = -0.11829, y = -0.10575 + x = 0.17522, y = 0.21224 + x = -2.58747, y = 31.60740 + x = 2.86899, y = 102.46599 + x = 4.85656, y = 699.29590 + x = 2.64449, y = 77.03803 + x = -3.22873, y = 82.21208 + x = 4.82573, y = 682.81110 + x = -3.87885, y = 179.17406 + x = 1.68189, y = 17.27024 + x = 2.83394, y = 98.12520 + x = 2.32931, y = 49.83137 + x = -0.89127, y = -0.17389 + x = -3.86244, y = 175.99492 + x = 0.75619, y = 2.08740 + x = -3.61300, y = 132.67885 + x = -2.12226, y = 13.10891 + x = -0.22784, y = -0.18506 + x = 3.06159, y = 128.99220 + x = -4.38398, y = 299.95853 + x = 1.26285, y = 7.41501 + x = -1.95995, y = 9.10888 + x = -0.80178, y = -0.26110 + x = -4.38611, y = 300.57060 + x = -4.33143, y = 285.15306 + x = -3.98879, y = 201.59966 + x = 0.55238, y = 1.11916 + x = 4.10331, y = 373.51925 + x = 0.79426, y = 2.32412 + x = 2.27566, y = 46.05735 + x = -4.52457, y = 342.41357 + x = -3.27165, y = 86.98270 + x = -3.10916, y = 69.94996 + x = 1.83457, y = 22.70227 + x = 4.84854, y = 694.97899 + x = 3.16770, y = 145.67457 + x = -0.65241, y = -0.32329 + x = 3.65558, y = 244.44570 + x = -3.87245, y = 177.92875 + x = 3.10333, y = 135.37018 + x = -4.94074, y = 494.75440 + x = 2.03435, y = 31.71994 + x = 3.61022, y = 233.57472 + x = -0.11462, y = -0.10281 + x = -0.46241, y = -0.30174 + x = 4.94061, y = 745.77632 + x = -3.62568, y = 134.66471 + x = 2.07939, y = 34.08998 + x = -4.95675, y = 501.48321 + x = -3.18202, y = 77.24530 + x = 2.04512, y = 32.27467 + x = -0.92474, y = -0.12912 + x = 0.05956, y = 0.06333 + x = 1.30105, y = 8.06145 + x = 1.99404, y = 29.70925 + x = -1.84663, y = 6.89475 + x = -1.71563, y = 4.84149 + x = 0.57796, y = 1.21665 + x = 3.02045, y = 122.93092 + x = -3.31114, y = 91.55180 + x = -1.70310, y = 4.67078 + x = -1.88431, y = 7.58279 + x = 3.69818, y = 255.00163 + x = -1.98218, y = 9.59609 + x = 1.62263, y = 15.46020 + x = -4.20041, y = 250.62446 + x = 3.71910, y = 260.30733 + x = 4.22335, y = 415.53685 + x = 1.59997, y = 14.80867 + x = 0.81558, y = 2.46573 + x = -4.98732, y = 514.51785 + x = 0.79835, y = 2.35081 + x = -0.27108, y = -0.21212 + x = 1.24362, y = 7.10545 + x = -1.42910, y = 1.86560 + x = -2.81241, y = 45.41476 + x = 2.98049, y = 117.25357 + x = 2.89717, y = 106.06098 + x = -1.38015, y = 1.52406 + x = 2.51520, y = 64.77437 + x = 2.72684, y = 85.72755 + x = 4.97442, y = 765.11954 + x = -3.91714, y = 186.75980 + x = -0.89460, y = -0.16975 + x = -1.02123, y = 0.04430 + x = 2.35974, y = 52.07480 + x = -1.96984, y = 9.32335 + x = 3.87302, y = 301.97879 + x = -4.78806, y = 433.94924 + x = 4.04895, y = 355.58388 + x = 4.44860, y = 503.92196 + x = 0.12425, y = 0.14184 + x = -2.94439, y = 55.35783 + x = 0.31197, y = 0.44912 + x = 3.09065, y = 133.40720 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.stt b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.stt new file mode 100644 index 0000000..d4debb7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.stt @@ -0,0 +1,22 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.178 3.644 11 3 15 4 0.0000 0.0001 0.0000 13.178 3.644 11 3 15 4 +1 0 0.0000 0.0001 0.0000 13.375 4.137 7 2 10 6 0.0000 0.0001 0.0000 13.277 3.891 7 2 15 4 +2 0 0.0000 0.0001 0.0000 14.134 4.534 15 5 15 5 0.0000 0.0001 0.0000 13.563 4.105 15 5 15 4 +3 0 0.0000 0.0001 0.0000 14.877 4.801 11 3 18 5 0.0000 0.0001 0.0000 13.891 4.279 11 3 15 4 +4 0 0.0000 0.0002 0.0000 15.510 5.028 28 8 6 5 0.0000 0.0002 0.0000 14.215 4.429 28 8 15 4 +5 0 0.0000 0.0003 0.0000 16.161 5.219 10 3 41 9 0.0000 0.0003 0.0000 14.539 4.560 10 3 15 4 +6 0 0.0000 0.0003 0.0000 16.738 5.388 42 11 15 6 0.0000 0.0003 0.0000 14.853 4.679 42 11 15 4 +7 0 0.0000 0.0004 0.0000 17.459 5.573 19 6 9 6 0.0000 0.0004 0.0000 15.179 4.790 19 6 15 4 +8 0 0.0000 0.0007 0.0000 18.760 5.890 43 12 38 11 0.0000 0.0007 0.0000 15.577 4.913 43 12 15 4 +9 0 0.0001 0.0007 0.0000 21.066 6.335 33 9 24 6 0.0000 0.0007 0.0000 16.126 5.055 33 9 15 4 +10 0 0.0001 0.0009 0.0000 25.198 7.048 49 12 12 5 0.0000 0.0009 0.0000 16.951 5.236 49 12 15 4 +11 0 0.0001 0.0012 0.0000 29.541 7.818 42 12 49 12 0.0000 0.0012 0.0000 18.000 5.451 42 12 15 4 +12 0 0.0001 0.0012 0.0000 34.385 8.676 40 7 31 10 0.0001 0.0012 0.0000 19.260 5.699 40 7 15 4 +13 0 0.0002 0.0013 0.0000 38.893 9.495 47 15 64 13 0.0001 0.0013 0.0000 20.663 5.970 47 15 15 4 +14 0 0.0002 0.0019 0.0000 43.993 10.338 46 9 60 12 0.0001 0.0019 0.0000 22.218 6.262 46 9 15 4 +15 0 0.0003 0.0031 0.0000 48.874 11.110 45 9 98 15 0.0001 0.0031 0.0000 23.884 6.565 45 9 15 4 +16 0 0.0004 0.0074 0.0000 52.885 11.718 43 9 44 10 0.0001 0.0074 0.0000 25.590 6.868 43 9 15 4 +17 0 0.0004 0.0078 0.0000 56.347 12.162 42 9 69 17 0.0001 0.0078 0.0000 27.299 7.162 42 9 15 4 +18 0 0.0006 0.0128 0.0000 58.762 12.387 38 10 116 16 0.0001 0.0128 0.0000 28.955 7.437 38 10 15 4 +19 0 0.0014 0.2097 0.0000 58.555 12.034 59 17 33 8 0.0002 0.2097 0.0000 30.435 7.667 59 17 15 4 +20 0 0.0071 1.0000 0.0000 54.181 11.086 24 5 48 11 0.0005 1.0000 0.0000 31.565 7.829 24 5 15 4 diff --git a/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.sys b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.sys new file mode 100644 index 0000000..2540edc --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_0/run_9/regress.sys @@ -0,0 +1,113 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 771. +creating initial population(s): + 5660 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 72094091 + freed: 71693051 + not freed: 401040 + max allocated: 7259616 + malloc'ed blocks: 308728 + realloc'ed blocks: 11 + free'ed blocks: 308668 + +------- time ------- + overall: 2s wall + evaluation: 2s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 65923 + freed: 65923 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/aggregated.tsv b/PartA/crossover_100_mutation_100_elitism_2/aggregated.tsv new file mode 100644 index 0000000..690bbcc --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/aggregated.tsv @@ -0,0 +1,54 @@ +Runs Generation Count Mean: 33 +Runs Generation Count Mode: 50 occurred (4) time(s) +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0 0.0001 0 13.1071 3.6725 20 4 20 5 0 0.0001 0 13.1071 3.6725 20 4 20 5 +1 0 0 0.0001 0 13.1825 4.1323 18 4 20 5 0 0.0001 0 13.1448 3.9026 18 4 20 5 +2 0 0 0.00013 0 13.8616 4.4778 19 4 20 6 0 0.00013 0 13.3838 4.0942 19 4 15 5 +3 0 0 0.00016 0 14.532 4.7752 21 4 19 6 0 0.00016 0 13.6707 4.2645 21 4 15 5 +4 0 0 0.00016 0 15.1915 5.0203 21 4 19 6 0 0.00016 0 13.975 4.4155 21 4 15 5 +5 0 0 0.0002 0 15.8877 5.2489 28 6 14 5 0 0.0002 0 14.2937 4.5545 28 6 17 5 +6 0 0 0.00068 0 16.6425 5.4634 20 5 27 7 0 0.00068 0 14.6293 4.6843 20 5 17 5 +7 0 2e-05 0.00202 0 17.6311 5.6943 24 6 14 6 0 0.00202 0 15.0044 4.8107 24 6 17 5 +8 0 4e-05 0.0021 0 19.0261 5.9631 28 6 23 6 1e-05 0.0021 0 15.4512 4.9387 28 6 17 5 +9 0 0.00011 0.00256 0 20.838 6.2925 29 6 17 6 1e-05 0.00256 0 15.99 5.074 29 6 17 5 +10 0 0.00019 0.01102 0 23.3861 6.7358 29 7 25 8 2e-05 0.01102 0 16.6622 5.2251 29 7 17 5 +11 0 0.00032 0.02571 0 26.7843 7.3298 28 6 30 9 6e-05 0.02571 0 17.5057 5.4003 28 6 17 5 +12 0 0.00084 0.0298 0 30.6424 7.986 33 8 45 11 0.00015 0.0298 0 18.5164 5.5994 33 8 17 5 +13 0 0.00241 0.0409 0 33.7966 8.5226 36 8 39 9 0.00031 0.0409 0 19.6078 5.8083 36 8 17 5 +14 0 0.00473 0.15448 0 36.2347 8.9129 34 8 48 10 0.0006 0.15448 0 20.7163 6.0151 34 8 17 5 +15 0 0.00687 0.07172 0 33.7284 8.348 34 7 38 9 0.00097 0.07172 0 19.4558 5.5962 34 7 14 4 +16 0 0.00026 0.0067 0 31.0884 7.5484 26 6 32 8 7e-05 0.0067 0 17.8513 5.068 26 6 14 4 +17 0 0.00041 0.03178 0 32.9783 7.8806 28 6 32 8 0.0001 0.03178 0 18.6918 5.2243 28 6 14 4 +18 0 0.0021 0.09357 0 34.7295 8.2024 33 7 39 8 0.0002 0.09357 0 19.5358 5.381 33 7 14 4 +19 0 0.00037 0.00346 0 32.8002 7.5586 28 6 43 8 9e-05 0.00346 0 17.7451 4.8349 28 6 12 3 +20 0 0.00048 0.00393 0 34.4925 7.7532 28 6 41 8 0.00011 0.00393 0 18.5427 4.9737 28 6 12 3 +21 0 0.00059 0.00567 0 36.3035 7.9463 29 6 34 7 0.00014 0.00567 0 19.35 5.109 29 6 12 3 +22 0 0.00075 0.02742 0 37.9308 8.1041 43 8 38 7 0.00016 0.02742 0 20.1577 5.2391 43 8 12 3 +23 0 0.001 0.09135 0 39.1953 8.226 43 8 34 7 0.0002 0.09135 0 20.9509 5.3637 43 8 12 3 +24 0 0.00065 0.00371 0 34.9716 7.1174 40 7 40 7 0.00016 0.00371 0 18.318 4.618 40 7 10 3 +25 0 0.00073 0.00397 0 36.2799 7.2425 39 7 33 7 0.00019 0.00397 0 19.0089 4.7191 39 7 10 3 +26 0 0.00082 0.00665 0 37.4749 7.3423 31 5 46 7 0.00022 0.00665 0 19.6929 4.8162 31 5 10 3 +27 0 0.00091 0.00697 0 38.5907 7.4439 35 6 33 6 0.00024 0.00697 0 20.3678 4.9101 35 6 10 3 +28 0 0.00103 0.10366 0 39.59 7.5366 35 5 46 8 0.00026 0.10366 0 21.0306 5.0006 35 5 10 3 +29 0 0.0007 0.00372 0 33.6571 6.2907 30 5 35 6 0.00021 0.00372 0 18.1225 4.2044 30 5 9 2 +30 0 0.00073 0.00372 0 34.502 6.359 30 5 40 6 0.00022 0.00372 0 18.651 4.274 30 5 9 2 +31 0 0.00079 0.0038 0 35.8169 6.4289 32 5 26 6 0.00025 0.0038 0 19.1873 4.3413 32 5 9 2 +32 0 0.00095 0.00537 0 37.9798 6.4874 29 5 40 7 0.00026 0.00537 0 19.7568 4.4063 29 5 9 2 +33 0 0.00121 0.06364 0 40.78 6.5281 45 6 43 6 0.00029 0.06364 0 20.3751 4.4687 45 6 9 2 +34 0 0.00063 0.00333 0 31.8776 5.3021 27 4 29 5 0.00023 0.00333 0 16.342 3.5387 27 4 8 1 +35 0 0.00066 0.00399 0 32.9896 5.373 35 5 28 4 0.00023 0.00399 0 16.8044 3.5896 35 5 8 1 +36 0 0.00072 0.00675 0 34.1872 5.4552 31 5 34 6 0.00025 0.00675 0 17.2743 3.64 31 5 8 1 +37 0 0.00077 0.00758 0 35.084 5.5098 35 4 21 4 0.00026 0.00758 0 17.7429 3.6892 35 4 8 1 +38 0 0.00084 0.00803 0 35.7328 5.5478 35 4 38 5 0.00029 0.00803 0 18.2042 3.7369 35 4 8 1 +39 0 0.00098 0.00819 0 36.5969 5.5795 34 4 35 5 0.00029 0.00819 0 18.664 3.783 34 4 8 1 +40 0 0.00113 0.00832 0 37.4679 5.6359 35 4 21 3 0.00032 0.00832 0 19.1227 3.8282 35 4 8 1 +41 0 0.00132 0.01066 0 38.9106 5.725 44 5 41 5 0.00034 0.01066 0 19.5938 3.8733 44 5 8 1 +42 0 0.0015 0.01077 0 39.8449 5.7833 45 5 28 5 0.00037 0.01077 0 20.0646 3.9178 45 5 8 1 +43 0 0.00174 0.01099 0 40.3849 5.8175 44 5 32 5 0.00039 0.01099 0 20.5265 3.961 44 5 8 1 +44 0 0.00238 0.01698 0 41.2465 5.8517 46 5 41 6 0.00045 0.01698 0 20.987 4.0029 46 5 8 1 +45 0 0.00361 0.0176 0 42.7593 5.8827 51 6 40 5 0.00052 0.0176 0 21.4603 4.0438 51 6 8 1 +46 0 0.00439 0.01869 0 43.7159 5.9017 49 6 28 5 0.00061 0.01869 0 21.9339 4.0832 49 6 8 1 +47 0 0.00479 0.01889 0 44.1655 5.9252 50 6 25 4 0.00069 0.01889 0 22.397 4.1217 50 6 8 1 +48 0 0.00494 0.01983 0 44.3029 5.9265 52 6 40 5 0.00077 0.01983 0 22.8441 4.1586 52 6 8 1 +49 0 0.00517 0.02118 0 44.7421 5.9337 48 6 49 6 0.00086 0.02118 0 23.282 4.1941 48 6 8 1 +50 0 0.00557 0.02146 0 45.3866 5.9678 53 6 37 6 0.00095 0.02146 0 23.7153 4.2288 53 6 8 1 diff --git a/PartA/crossover_100_mutation_100_elitism_2/crossover_100_mutation_100_elitism_2.tsv b/PartA/crossover_100_mutation_100_elitism_2/crossover_100_mutation_100_elitism_2.tsv new file mode 100644 index 0000000..cfb40b1 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/crossover_100_mutation_100_elitism_2.tsv @@ -0,0 +1,394 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +=AVERAGE(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =AVERAGE(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =AVERAGE(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =AVERAGE(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =AVERAGE(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =AVERAGE(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =AVERAGE(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =AVERAGE(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =AVERAGE(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =AVERAGE(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =AVERAGE(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =AVERAGE(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =AVERAGE(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =AVERAGE(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =AVERAGE(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =AVERAGE(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =AVERAGE(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =AVERAGE(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =AVERAGE(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =AVERAGE(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =STDEV.P(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =STDEV.P(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =STDEV.P(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =STDEV.P(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =STDEV.P(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =STDEV.P(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =STDEV.P(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =STDEV.P(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =STDEV.P(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =STDEV.P(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =STDEV.P(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =STDEV.P(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =STDEV.P(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =STDEV.P(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =STDEV.P(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =STDEV.P(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =STDEV.P(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =STDEV.P(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =STDEV.P(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22, a23, a24, a25, a26, a27, a28, a29, a30, a31, a32, a33, a34, a35, a36, a37, a38, a39, a40, a41, a42, a43, a44, a45, a46, a47, a48, a49, a50, a51, a52) =STDEV.P(b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16, b17, b18, b19, b20, b21, b22, b23, b24, b25, b26, b27, b28, b29, b30, b31, b32, b33, b34, b35, b36, b37, b38, b39, b40, b41, b42, b43, b44, b45, b46, b47, b48, b49, b50, b51, b52) =STDEV.P(c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29, c30, c31, c32, c33, c34, c35, c36, c37, c38, c39, c40, c41, c42, c43, c44, c45, c46, c47, c48, c49, c50, c51, c52) =STDEV.P(d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, d16, d17, d18, d19, d20, d21, d22, d23, d24, d25, d26, d27, d28, d29, d30, d31, d32, d33, d34, d35, d36, d37, d38, d39, d40, d41, d42, d43, d44, d45, d46, d47, d48, d49, d50, d51, d52) =STDEV.P(e2, e3, e4, e5, e6, e7, e8, e9, e10, e11, e12, e13, e14, e15, e16, e17, e18, e19, e20, e21, e22, e23, e24, e25, e26, e27, e28, e29, e30, e31, e32, e33, e34, e35, e36, e37, e38, e39, e40, e41, e42, e43, e44, e45, e46, e47, e48, e49, e50, e51, e52) =STDEV.P(f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f23, f24, f25, f26, f27, f28, f29, f30, f31, f32, f33, f34, f35, f36, f37, f38, f39, f40, f41, f42, f43, f44, f45, f46, f47, f48, f49, f50, f51, f52) =STDEV.P(g2, g3, g4, g5, g6, g7, g8, g9, g10, g11, g12, g13, g14, g15, g16, g17, g18, g19, g20, g21, g22, g23, g24, g25, g26, g27, g28, g29, g30, g31, g32, g33, g34, g35, g36, g37, g38, g39, g40, g41, g42, g43, g44, g45, g46, g47, g48, g49, g50, g51, g52) =STDEV.P(h2, h3, h4, h5, h6, h7, h8, h9, h10, h11, h12, h13, h14, h15, h16, h17, h18, h19, h20, h21, h22, h23, h24, h25, h26, h27, h28, h29, h30, h31, h32, h33, h34, h35, h36, h37, h38, h39, h40, h41, h42, h43, h44, h45, h46, h47, h48, h49, h50, h51, h52) =STDEV.P(i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13, i14, i15, i16, i17, i18, i19, i20, i21, i22, i23, i24, i25, i26, i27, i28, i29, i30, i31, i32, i33, i34, i35, i36, i37, i38, i39, i40, i41, i42, i43, i44, i45, i46, i47, i48, i49, i50, i51, i52) =STDEV.P(j2, j3, j4, j5, j6, j7, j8, j9, j10, j11, j12, j13, j14, j15, j16, j17, j18, j19, j20, j21, j22, j23, j24, j25, j26, j27, j28, j29, j30, j31, j32, j33, j34, j35, j36, j37, j38, j39, j40, j41, j42, j43, j44, j45, j46, j47, j48, j49, j50, j51, j52) =STDEV.P(k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12, k13, k14, k15, k16, k17, k18, k19, k20, k21, k22, k23, k24, k25, k26, k27, k28, k29, k30, k31, k32, k33, k34, k35, k36, k37, k38, k39, k40, k41, k42, k43, k44, k45, k46, k47, k48, k49, k50, k51, k52) =STDEV.P(l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12, l13, l14, l15, l16, l17, l18, l19, l20, l21, l22, l23, l24, l25, l26, l27, l28, l29, l30, l31, l32, l33, l34, l35, l36, l37, l38, l39, l40, l41, l42, l43, l44, l45, l46, l47, l48, l49, l50, l51, l52) =STDEV.P(m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, m16, m17, m18, m19, m20, m21, m22, m23, m24, m25, m26, m27, m28, m29, m30, m31, m32, m33, m34, m35, m36, m37, m38, m39, m40, m41, m42, m43, m44, m45, m46, m47, m48, m49, m50, m51, m52) =STDEV.P(n2, n3, n4, n5, n6, n7, n8, n9, n10, n11, n12, n13, n14, n15, n16, n17, n18, n19, n20, n21, n22, n23, n24, n25, n26, n27, n28, n29, n30, n31, n32, n33, n34, n35, n36, n37, n38, n39, n40, n41, n42, n43, n44, n45, n46, n47, n48, n49, n50, n51, n52) =STDEV.P(o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12, o13, o14, o15, o16, o17, o18, o19, o20, o21, o22, o23, o24, o25, o26, o27, o28, o29, o30, o31, o32, o33, o34, o35, o36, o37, o38, o39, o40, o41, o42, o43, o44, o45, o46, o47, o48, o49, o50, o51, o52) =STDEV.P(p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, p50, p51, p52) =STDEV.P(q2, q3, q4, q5, q6, q7, q8, q9, q10, q11, q12, q13, q14, q15, q16, q17, q18, q19, q20, q21, q22, q23, q24, q25, q26, q27, q28, q29, q30, q31, q32, q33, q34, q35, q36, q37, q38, q39, q40, q41, q42, q43, q44, q45, q46, q47, q48, q49, q50, q51, q52) =STDEV.P(r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r34, r35, r36, r37, r38, r39, r40, r41, r42, r43, r44, r45, r46, r47, r48, r49, r50, r51, r52) =STDEV.P(s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15, s16, s17, s18, s19, s20, s21, s22, s23, s24, s25, s26, s27, s28, s29, s30, s31, s32, s33, s34, s35, s36, s37, s38, s39, s40, s41, s42, s43, s44, s45, s46, s47, s48, s49, s50, s51, s52) =STDEV.P(t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t21, t22, t23, t24, t25, t26, t27, t28, t29, t30, t31, t32, t33, t34, t35, t36, t37, t38, t39, t40, t41, t42, t43, t44, t45, t46, t47, t48, t49, t50, t51, t52) +=AVERAGE(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =AVERAGE(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =AVERAGE(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =AVERAGE(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =AVERAGE(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =AVERAGE(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =AVERAGE(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =AVERAGE(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =AVERAGE(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =AVERAGE(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =AVERAGE(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =AVERAGE(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =AVERAGE(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =AVERAGE(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =AVERAGE(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =AVERAGE(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =AVERAGE(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =AVERAGE(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =AVERAGE(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =AVERAGE(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) =STDEV.P(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =STDEV.P(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =STDEV.P(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =STDEV.P(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =STDEV.P(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =STDEV.P(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =STDEV.P(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =STDEV.P(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =STDEV.P(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =STDEV.P(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =STDEV.P(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =STDEV.P(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =STDEV.P(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =STDEV.P(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =STDEV.P(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =STDEV.P(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =STDEV.P(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =STDEV.P(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =STDEV.P(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =STDEV.P(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) +=AVERAGE(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =AVERAGE(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =AVERAGE(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =AVERAGE(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =AVERAGE(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =AVERAGE(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =AVERAGE(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =AVERAGE(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =AVERAGE(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =AVERAGE(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =AVERAGE(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =AVERAGE(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =AVERAGE(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =AVERAGE(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =AVERAGE(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =AVERAGE(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =AVERAGE(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =AVERAGE(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =AVERAGE(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =AVERAGE(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) =STDEV.P(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =STDEV.P(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =STDEV.P(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =STDEV.P(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =STDEV.P(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =STDEV.P(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =STDEV.P(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =STDEV.P(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =STDEV.P(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =STDEV.P(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =STDEV.P(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =STDEV.P(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =STDEV.P(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =STDEV.P(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =STDEV.P(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =STDEV.P(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =STDEV.P(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =STDEV.P(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =STDEV.P(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =STDEV.P(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) +=AVERAGE(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =AVERAGE(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =AVERAGE(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =AVERAGE(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =AVERAGE(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =AVERAGE(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =AVERAGE(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =AVERAGE(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =AVERAGE(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =AVERAGE(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =AVERAGE(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =AVERAGE(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =AVERAGE(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =AVERAGE(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =AVERAGE(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =AVERAGE(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =AVERAGE(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =AVERAGE(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =AVERAGE(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =AVERAGE(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) =STDEV.P(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =STDEV.P(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =STDEV.P(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =STDEV.P(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =STDEV.P(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =STDEV.P(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =STDEV.P(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =STDEV.P(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =STDEV.P(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =STDEV.P(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =STDEV.P(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =STDEV.P(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =STDEV.P(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =STDEV.P(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =STDEV.P(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =STDEV.P(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =STDEV.P(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =STDEV.P(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =STDEV.P(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =STDEV.P(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) +=AVERAGE(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =AVERAGE(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =AVERAGE(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =AVERAGE(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =AVERAGE(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =AVERAGE(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =AVERAGE(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =AVERAGE(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =AVERAGE(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =AVERAGE(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =AVERAGE(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =AVERAGE(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =AVERAGE(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =AVERAGE(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =AVERAGE(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =AVERAGE(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =AVERAGE(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =AVERAGE(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =AVERAGE(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =AVERAGE(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) =STDEV.P(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =STDEV.P(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =STDEV.P(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =STDEV.P(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =STDEV.P(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =STDEV.P(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =STDEV.P(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =STDEV.P(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =STDEV.P(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =STDEV.P(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =STDEV.P(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =STDEV.P(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =STDEV.P(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =STDEV.P(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =STDEV.P(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =STDEV.P(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =STDEV.P(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =STDEV.P(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =STDEV.P(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =STDEV.P(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) +=AVERAGE(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =AVERAGE(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =AVERAGE(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =AVERAGE(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =AVERAGE(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =AVERAGE(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =AVERAGE(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =AVERAGE(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =AVERAGE(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =AVERAGE(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =AVERAGE(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =AVERAGE(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =AVERAGE(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =AVERAGE(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =AVERAGE(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =AVERAGE(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =AVERAGE(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =AVERAGE(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =AVERAGE(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =AVERAGE(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) =STDEV.P(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =STDEV.P(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =STDEV.P(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =STDEV.P(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =STDEV.P(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =STDEV.P(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =STDEV.P(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =STDEV.P(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =STDEV.P(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =STDEV.P(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =STDEV.P(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =STDEV.P(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =STDEV.P(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =STDEV.P(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =STDEV.P(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =STDEV.P(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =STDEV.P(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =STDEV.P(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =STDEV.P(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =STDEV.P(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) +=AVERAGE(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =AVERAGE(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =AVERAGE(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =AVERAGE(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =AVERAGE(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =AVERAGE(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =AVERAGE(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =AVERAGE(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =AVERAGE(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =AVERAGE(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =AVERAGE(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =AVERAGE(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =AVERAGE(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =AVERAGE(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =AVERAGE(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =AVERAGE(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =AVERAGE(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =AVERAGE(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =AVERAGE(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =AVERAGE(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) =STDEV.P(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =STDEV.P(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =STDEV.P(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =STDEV.P(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =STDEV.P(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =STDEV.P(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =STDEV.P(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =STDEV.P(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =STDEV.P(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =STDEV.P(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =STDEV.P(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =STDEV.P(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =STDEV.P(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =STDEV.P(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =STDEV.P(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =STDEV.P(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =STDEV.P(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =STDEV.P(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =STDEV.P(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =STDEV.P(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) +=AVERAGE(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =AVERAGE(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =AVERAGE(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =AVERAGE(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =AVERAGE(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =AVERAGE(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =AVERAGE(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =AVERAGE(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =AVERAGE(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =AVERAGE(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =AVERAGE(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =AVERAGE(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =AVERAGE(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =AVERAGE(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =AVERAGE(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =AVERAGE(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =AVERAGE(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =AVERAGE(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =AVERAGE(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =AVERAGE(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) =STDEV.P(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =STDEV.P(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =STDEV.P(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =STDEV.P(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =STDEV.P(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =STDEV.P(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =STDEV.P(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =STDEV.P(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =STDEV.P(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =STDEV.P(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =STDEV.P(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =STDEV.P(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =STDEV.P(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =STDEV.P(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =STDEV.P(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =STDEV.P(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =STDEV.P(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =STDEV.P(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =STDEV.P(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =STDEV.P(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) +=AVERAGE(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =AVERAGE(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =AVERAGE(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =AVERAGE(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =AVERAGE(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =AVERAGE(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =AVERAGE(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =AVERAGE(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =AVERAGE(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =AVERAGE(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =AVERAGE(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =AVERAGE(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =AVERAGE(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =AVERAGE(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =AVERAGE(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =AVERAGE(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =AVERAGE(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =AVERAGE(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =AVERAGE(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =AVERAGE(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) =STDEV.P(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =STDEV.P(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =STDEV.P(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =STDEV.P(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =STDEV.P(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =STDEV.P(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =STDEV.P(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =STDEV.P(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =STDEV.P(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =STDEV.P(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =STDEV.P(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =STDEV.P(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =STDEV.P(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =STDEV.P(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =STDEV.P(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =STDEV.P(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =STDEV.P(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =STDEV.P(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =STDEV.P(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =STDEV.P(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) +=AVERAGE(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =AVERAGE(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =AVERAGE(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =AVERAGE(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =AVERAGE(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =AVERAGE(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =AVERAGE(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =AVERAGE(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =AVERAGE(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =AVERAGE(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =AVERAGE(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =AVERAGE(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =AVERAGE(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =AVERAGE(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =AVERAGE(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =AVERAGE(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =AVERAGE(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =AVERAGE(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =AVERAGE(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =AVERAGE(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) =STDEV.P(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =STDEV.P(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =STDEV.P(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =STDEV.P(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =STDEV.P(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =STDEV.P(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =STDEV.P(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =STDEV.P(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =STDEV.P(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =STDEV.P(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =STDEV.P(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =STDEV.P(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =STDEV.P(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =STDEV.P(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =STDEV.P(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =STDEV.P(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =STDEV.P(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =STDEV.P(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =STDEV.P(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =STDEV.P(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) +=AVERAGE(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =AVERAGE(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =AVERAGE(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =AVERAGE(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =AVERAGE(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =AVERAGE(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =AVERAGE(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =AVERAGE(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =AVERAGE(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =AVERAGE(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =AVERAGE(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =AVERAGE(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =AVERAGE(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =AVERAGE(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =AVERAGE(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =AVERAGE(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =AVERAGE(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =AVERAGE(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =AVERAGE(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =AVERAGE(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) =STDEV.P(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =STDEV.P(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =STDEV.P(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =STDEV.P(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =STDEV.P(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =STDEV.P(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =STDEV.P(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =STDEV.P(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =STDEV.P(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =STDEV.P(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =STDEV.P(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =STDEV.P(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =STDEV.P(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =STDEV.P(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =STDEV.P(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =STDEV.P(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =STDEV.P(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =STDEV.P(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =STDEV.P(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =STDEV.P(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) +=AVERAGE(a164, a165, a166, a167, a168, a169, a170, a171, a172, a173) =AVERAGE(b164, b165, b166, b167, b168, b169, b170, b171, b172, b173) =AVERAGE(c164, c165, c166, c167, c168, c169, c170, c171, c172, c173) =AVERAGE(d164, d165, d166, d167, d168, d169, d170, d171, d172, d173) =AVERAGE(e164, e165, e166, e167, e168, e169, e170, e171, e172, e173) =AVERAGE(f164, f165, f166, f167, f168, f169, f170, f171, f172, f173) =AVERAGE(g164, g165, g166, g167, g168, g169, g170, g171, g172, g173) =AVERAGE(h164, h165, h166, h167, h168, h169, h170, h171, h172, h173) =AVERAGE(i164, i165, i166, i167, i168, i169, i170, i171, i172, i173) =AVERAGE(j164, j165, j166, j167, j168, j169, j170, j171, j172, j173) =AVERAGE(k164, k165, k166, k167, k168, k169, k170, k171, k172, k173) =AVERAGE(l164, l165, l166, l167, l168, l169, l170, l171, l172, l173) =AVERAGE(m164, m165, m166, m167, m168, m169, m170, m171, m172, m173) =AVERAGE(n164, n165, n166, n167, n168, n169, n170, n171, n172, n173) =AVERAGE(o164, o165, o166, o167, o168, o169, o170, o171, o172, o173) =AVERAGE(p164, p165, p166, p167, p168, p169, p170, p171, p172, p173) =AVERAGE(q164, q165, q166, q167, q168, q169, q170, q171, q172, q173) =AVERAGE(r164, r165, r166, r167, r168, r169, r170, r171, r172, r173) =AVERAGE(s164, s165, s166, s167, s168, s169, s170, s171, s172, s173) =AVERAGE(t164, t165, t166, t167, t168, t169, t170, t171, t172, t173) =STDEV.P(a164, a165, a166, a167, a168, a169, a170, a171, a172, a173) =STDEV.P(b164, b165, b166, b167, b168, b169, b170, b171, b172, b173) =STDEV.P(c164, c165, c166, c167, c168, c169, c170, c171, c172, c173) =STDEV.P(d164, d165, d166, d167, d168, d169, d170, d171, d172, d173) =STDEV.P(e164, e165, e166, e167, e168, e169, e170, e171, e172, e173) =STDEV.P(f164, f165, f166, f167, f168, f169, f170, f171, f172, f173) =STDEV.P(g164, g165, g166, g167, g168, g169, g170, g171, g172, g173) =STDEV.P(h164, h165, h166, h167, h168, h169, h170, h171, h172, h173) =STDEV.P(i164, i165, i166, i167, i168, i169, i170, i171, i172, i173) =STDEV.P(j164, j165, j166, j167, j168, j169, j170, j171, j172, j173) =STDEV.P(k164, k165, k166, k167, k168, k169, k170, k171, k172, k173) =STDEV.P(l164, l165, l166, l167, l168, l169, l170, l171, l172, l173) =STDEV.P(m164, m165, m166, m167, m168, m169, m170, m171, m172, m173) =STDEV.P(n164, n165, n166, n167, n168, n169, n170, n171, n172, n173) =STDEV.P(o164, o165, o166, o167, o168, o169, o170, o171, o172, o173) =STDEV.P(p164, p165, p166, p167, p168, p169, p170, p171, p172, p173) =STDEV.P(q164, q165, q166, q167, q168, q169, q170, q171, q172, q173) =STDEV.P(r164, r165, r166, r167, r168, r169, r170, r171, r172, r173) =STDEV.P(s164, s165, s166, s167, s168, s169, s170, s171, s172, s173) =STDEV.P(t164, t165, t166, t167, t168, t169, t170, t171, t172, t173) +=AVERAGE(a174, a175, a176, a177, a178, a179, a180, a181, a182, a183) =AVERAGE(b174, b175, b176, b177, b178, b179, b180, b181, b182, b183) =AVERAGE(c174, c175, c176, c177, c178, c179, c180, c181, c182, c183) =AVERAGE(d174, d175, d176, d177, d178, d179, d180, d181, d182, d183) =AVERAGE(e174, e175, e176, e177, e178, e179, e180, e181, e182, e183) =AVERAGE(f174, f175, f176, f177, f178, f179, f180, f181, f182, f183) =AVERAGE(g174, g175, g176, g177, g178, g179, g180, g181, g182, g183) =AVERAGE(h174, h175, h176, h177, h178, h179, h180, h181, h182, h183) =AVERAGE(i174, i175, i176, i177, i178, i179, i180, i181, i182, i183) =AVERAGE(j174, j175, j176, j177, j178, j179, j180, j181, j182, j183) =AVERAGE(k174, k175, k176, k177, k178, k179, k180, k181, k182, k183) =AVERAGE(l174, l175, l176, l177, l178, l179, l180, l181, l182, l183) =AVERAGE(m174, m175, m176, m177, m178, m179, m180, m181, m182, m183) =AVERAGE(n174, n175, n176, n177, n178, n179, n180, n181, n182, n183) =AVERAGE(o174, o175, o176, o177, o178, o179, o180, o181, o182, o183) =AVERAGE(p174, p175, p176, p177, p178, p179, p180, p181, p182, p183) =AVERAGE(q174, q175, q176, q177, q178, q179, q180, q181, q182, q183) =AVERAGE(r174, r175, r176, r177, r178, r179, r180, r181, r182, r183) =AVERAGE(s174, s175, s176, s177, s178, s179, s180, s181, s182, s183) =AVERAGE(t174, t175, t176, t177, t178, t179, t180, t181, t182, t183) =STDEV.P(a174, a175, a176, a177, a178, a179, a180, a181, a182, a183) =STDEV.P(b174, b175, b176, b177, b178, b179, b180, b181, b182, b183) =STDEV.P(c174, c175, c176, c177, c178, c179, c180, c181, c182, c183) =STDEV.P(d174, d175, d176, d177, d178, d179, d180, d181, d182, d183) =STDEV.P(e174, e175, e176, e177, e178, e179, e180, e181, e182, e183) =STDEV.P(f174, f175, f176, f177, f178, f179, f180, f181, f182, f183) =STDEV.P(g174, g175, g176, g177, g178, g179, g180, g181, g182, g183) =STDEV.P(h174, h175, h176, h177, h178, h179, h180, h181, h182, h183) =STDEV.P(i174, i175, i176, i177, i178, i179, i180, i181, i182, i183) =STDEV.P(j174, j175, j176, j177, j178, j179, j180, j181, j182, j183) =STDEV.P(k174, k175, k176, k177, k178, k179, k180, k181, k182, k183) =STDEV.P(l174, l175, l176, l177, l178, l179, l180, l181, l182, l183) =STDEV.P(m174, m175, m176, m177, m178, m179, m180, m181, m182, m183) =STDEV.P(n174, n175, n176, n177, n178, n179, n180, n181, n182, n183) =STDEV.P(o174, o175, o176, o177, o178, o179, o180, o181, o182, o183) =STDEV.P(p174, p175, p176, p177, p178, p179, p180, p181, p182, p183) =STDEV.P(q174, q175, q176, q177, q178, q179, q180, q181, q182, q183) =STDEV.P(r174, r175, r176, r177, r178, r179, r180, r181, r182, r183) =STDEV.P(s174, s175, s176, s177, s178, s179, s180, s181, s182, s183) =STDEV.P(t174, t175, t176, t177, t178, t179, t180, t181, t182, t183) +=AVERAGE(a184, a185, a186, a187, a188, a189, a190, a191, a192, a193) =AVERAGE(b184, b185, b186, b187, b188, b189, b190, b191, b192, b193) =AVERAGE(c184, c185, c186, c187, c188, c189, c190, c191, c192, c193) =AVERAGE(d184, d185, d186, d187, d188, d189, d190, d191, d192, d193) =AVERAGE(e184, e185, e186, e187, e188, e189, e190, e191, e192, e193) =AVERAGE(f184, f185, f186, f187, f188, f189, f190, f191, f192, f193) =AVERAGE(g184, g185, g186, g187, g188, g189, g190, g191, g192, g193) =AVERAGE(h184, h185, h186, h187, h188, h189, h190, h191, h192, h193) =AVERAGE(i184, i185, i186, i187, i188, i189, i190, i191, i192, i193) =AVERAGE(j184, j185, j186, j187, j188, j189, j190, j191, j192, j193) =AVERAGE(k184, k185, k186, k187, k188, k189, k190, k191, k192, k193) =AVERAGE(l184, l185, l186, l187, l188, l189, l190, l191, l192, l193) =AVERAGE(m184, m185, m186, m187, m188, m189, m190, m191, m192, m193) =AVERAGE(n184, n185, n186, n187, n188, n189, n190, n191, n192, n193) =AVERAGE(o184, o185, o186, o187, o188, o189, o190, o191, o192, o193) =AVERAGE(p184, p185, p186, p187, p188, p189, p190, p191, p192, p193) =AVERAGE(q184, q185, q186, q187, q188, q189, q190, q191, q192, q193) =AVERAGE(r184, r185, r186, r187, r188, r189, r190, r191, r192, r193) =AVERAGE(s184, s185, s186, s187, s188, s189, s190, s191, s192, s193) =AVERAGE(t184, t185, t186, t187, t188, t189, t190, t191, t192, t193) =STDEV.P(a184, a185, a186, a187, a188, a189, a190, a191, a192, a193) =STDEV.P(b184, b185, b186, b187, b188, b189, b190, b191, b192, b193) =STDEV.P(c184, c185, c186, c187, c188, c189, c190, c191, c192, c193) =STDEV.P(d184, d185, d186, d187, d188, d189, d190, d191, d192, d193) =STDEV.P(e184, e185, e186, e187, e188, e189, e190, e191, e192, e193) =STDEV.P(f184, f185, f186, f187, f188, f189, f190, f191, f192, f193) =STDEV.P(g184, g185, g186, g187, g188, g189, g190, g191, g192, g193) =STDEV.P(h184, h185, h186, h187, h188, h189, h190, h191, h192, h193) =STDEV.P(i184, i185, i186, i187, i188, i189, i190, i191, i192, i193) =STDEV.P(j184, j185, j186, j187, j188, j189, j190, j191, j192, j193) =STDEV.P(k184, k185, k186, k187, k188, k189, k190, k191, k192, k193) =STDEV.P(l184, l185, l186, l187, l188, l189, l190, l191, l192, l193) =STDEV.P(m184, m185, m186, m187, m188, m189, m190, m191, m192, m193) =STDEV.P(n184, n185, n186, n187, n188, n189, n190, n191, n192, n193) =STDEV.P(o184, o185, o186, o187, o188, o189, o190, o191, o192, o193) =STDEV.P(p184, p185, p186, p187, p188, p189, p190, p191, p192, p193) =STDEV.P(q184, q185, q186, q187, q188, q189, q190, q191, q192, q193) =STDEV.P(r184, r185, r186, r187, r188, r189, r190, r191, r192, r193) =STDEV.P(s184, s185, s186, s187, s188, s189, s190, s191, s192, s193) =STDEV.P(t184, t185, t186, t187, t188, t189, t190, t191, t192, t193) +=AVERAGE(a194, a195, a196, a197, a198, a199, a200, a201, a202, a203) =AVERAGE(b194, b195, b196, b197, b198, b199, b200, b201, b202, b203) =AVERAGE(c194, c195, c196, c197, c198, c199, c200, c201, c202, c203) =AVERAGE(d194, d195, d196, d197, d198, d199, d200, d201, d202, d203) =AVERAGE(e194, e195, e196, e197, e198, e199, e200, e201, e202, e203) =AVERAGE(f194, f195, f196, f197, f198, f199, f200, f201, f202, f203) =AVERAGE(g194, g195, g196, g197, g198, g199, g200, g201, g202, g203) =AVERAGE(h194, h195, h196, h197, h198, h199, h200, h201, h202, h203) =AVERAGE(i194, i195, i196, i197, i198, i199, i200, i201, i202, i203) =AVERAGE(j194, j195, j196, j197, j198, j199, j200, j201, j202, j203) =AVERAGE(k194, k195, k196, k197, k198, k199, k200, k201, k202, k203) =AVERAGE(l194, l195, l196, l197, l198, l199, l200, l201, l202, l203) =AVERAGE(m194, m195, m196, m197, m198, m199, m200, m201, m202, m203) =AVERAGE(n194, n195, n196, n197, n198, n199, n200, n201, n202, n203) =AVERAGE(o194, o195, o196, o197, o198, o199, o200, o201, o202, o203) =AVERAGE(p194, p195, p196, p197, p198, p199, p200, p201, p202, p203) =AVERAGE(q194, q195, q196, q197, q198, q199, q200, q201, q202, q203) =AVERAGE(r194, r195, r196, r197, r198, r199, r200, r201, r202, r203) =AVERAGE(s194, s195, s196, s197, s198, s199, s200, s201, s202, s203) =AVERAGE(t194, t195, t196, t197, t198, t199, t200, t201, t202, t203) =STDEV.P(a194, a195, a196, a197, a198, a199, a200, a201, a202, a203) =STDEV.P(b194, b195, b196, b197, b198, b199, b200, b201, b202, b203) =STDEV.P(c194, c195, c196, c197, c198, c199, c200, c201, c202, c203) =STDEV.P(d194, d195, d196, d197, d198, d199, d200, d201, d202, d203) =STDEV.P(e194, e195, e196, e197, e198, e199, e200, e201, e202, e203) =STDEV.P(f194, f195, f196, f197, f198, f199, f200, f201, f202, f203) =STDEV.P(g194, g195, g196, g197, g198, g199, g200, g201, g202, g203) =STDEV.P(h194, h195, h196, h197, h198, h199, h200, h201, h202, h203) =STDEV.P(i194, i195, i196, i197, i198, i199, i200, i201, i202, i203) =STDEV.P(j194, j195, j196, j197, j198, j199, j200, j201, j202, j203) =STDEV.P(k194, k195, k196, k197, k198, k199, k200, k201, k202, k203) =STDEV.P(l194, l195, l196, l197, l198, l199, l200, l201, l202, l203) =STDEV.P(m194, m195, m196, m197, m198, m199, m200, m201, m202, m203) =STDEV.P(n194, n195, n196, n197, n198, n199, n200, n201, n202, n203) =STDEV.P(o194, o195, o196, o197, o198, o199, o200, o201, o202, o203) =STDEV.P(p194, p195, p196, p197, p198, p199, p200, p201, p202, p203) =STDEV.P(q194, q195, q196, q197, q198, q199, q200, q201, q202, q203) =STDEV.P(r194, r195, r196, r197, r198, r199, r200, r201, r202, r203) =STDEV.P(s194, s195, s196, s197, s198, s199, s200, s201, s202, s203) =STDEV.P(t194, t195, t196, t197, t198, t199, t200, t201, t202, t203) +=AVERAGE(a204, a205, a206, a207, a208, a209, a210, a211, a212) =AVERAGE(b204, b205, b206, b207, b208, b209, b210, b211, b212) =AVERAGE(c204, c205, c206, c207, c208, c209, c210, c211, c212) =AVERAGE(d204, d205, d206, d207, d208, d209, d210, d211, d212) =AVERAGE(e204, e205, e206, e207, e208, e209, e210, e211, e212) =AVERAGE(f204, f205, f206, f207, f208, f209, f210, f211, f212) =AVERAGE(g204, g205, g206, g207, g208, g209, g210, g211, g212) =AVERAGE(h204, h205, h206, h207, h208, h209, h210, h211, h212) =AVERAGE(i204, i205, i206, i207, i208, i209, i210, i211, i212) =AVERAGE(j204, j205, j206, j207, j208, j209, j210, j211, j212) =AVERAGE(k204, k205, k206, k207, k208, k209, k210, k211, k212) =AVERAGE(l204, l205, l206, l207, l208, l209, l210, l211, l212) =AVERAGE(m204, m205, m206, m207, m208, m209, m210, m211, m212) =AVERAGE(n204, n205, n206, n207, n208, n209, n210, n211, n212) =AVERAGE(o204, o205, o206, o207, o208, o209, o210, o211, o212) =AVERAGE(p204, p205, p206, p207, p208, p209, p210, p211, p212) =AVERAGE(q204, q205, q206, q207, q208, q209, q210, q211, q212) =AVERAGE(r204, r205, r206, r207, r208, r209, r210, r211, r212) =AVERAGE(s204, s205, s206, s207, s208, s209, s210, s211, s212) =AVERAGE(t204, t205, t206, t207, t208, t209, t210, t211, t212) =STDEV.P(a204, a205, a206, a207, a208, a209, a210, a211, a212) =STDEV.P(b204, b205, b206, b207, b208, b209, b210, b211, b212) =STDEV.P(c204, c205, c206, c207, c208, c209, c210, c211, c212) =STDEV.P(d204, d205, d206, d207, d208, d209, d210, d211, d212) =STDEV.P(e204, e205, e206, e207, e208, e209, e210, e211, e212) =STDEV.P(f204, f205, f206, f207, f208, f209, f210, f211, f212) =STDEV.P(g204, g205, g206, g207, g208, g209, g210, g211, g212) =STDEV.P(h204, h205, h206, h207, h208, h209, h210, h211, h212) =STDEV.P(i204, i205, i206, i207, i208, i209, i210, i211, i212) =STDEV.P(j204, j205, j206, j207, j208, j209, j210, j211, j212) =STDEV.P(k204, k205, k206, k207, k208, k209, k210, k211, k212) =STDEV.P(l204, l205, l206, l207, l208, l209, l210, l211, l212) =STDEV.P(m204, m205, m206, m207, m208, m209, m210, m211, m212) =STDEV.P(n204, n205, n206, n207, n208, n209, n210, n211, n212) =STDEV.P(o204, o205, o206, o207, o208, o209, o210, o211, o212) =STDEV.P(p204, p205, p206, p207, p208, p209, p210, p211, p212) =STDEV.P(q204, q205, q206, q207, q208, q209, q210, q211, q212) =STDEV.P(r204, r205, r206, r207, r208, r209, r210, r211, r212) =STDEV.P(s204, s205, s206, s207, s208, s209, s210, s211, s212) =STDEV.P(t204, t205, t206, t207, t208, t209, t210, t211, t212) +=AVERAGE(a213, a214, a215, a216, a217, a218, a219, a220) =AVERAGE(b213, b214, b215, b216, b217, b218, b219, b220) =AVERAGE(c213, c214, c215, c216, c217, c218, c219, c220) =AVERAGE(d213, d214, d215, d216, d217, d218, d219, d220) =AVERAGE(e213, e214, e215, e216, e217, e218, e219, e220) =AVERAGE(f213, f214, f215, f216, f217, f218, f219, f220) =AVERAGE(g213, g214, g215, g216, g217, g218, g219, g220) =AVERAGE(h213, h214, h215, h216, h217, h218, h219, h220) =AVERAGE(i213, i214, i215, i216, i217, i218, i219, i220) =AVERAGE(j213, j214, j215, j216, j217, j218, j219, j220) =AVERAGE(k213, k214, k215, k216, k217, k218, k219, k220) =AVERAGE(l213, l214, l215, l216, l217, l218, l219, l220) =AVERAGE(m213, m214, m215, m216, m217, m218, m219, m220) =AVERAGE(n213, n214, n215, n216, n217, n218, n219, n220) =AVERAGE(o213, o214, o215, o216, o217, o218, o219, o220) =AVERAGE(p213, p214, p215, p216, p217, p218, p219, p220) =AVERAGE(q213, q214, q215, q216, q217, q218, q219, q220) =AVERAGE(r213, r214, r215, r216, r217, r218, r219, r220) =AVERAGE(s213, s214, s215, s216, s217, s218, s219, s220) =AVERAGE(t213, t214, t215, t216, t217, t218, t219, t220) =STDEV.P(a213, a214, a215, a216, a217, a218, a219, a220) =STDEV.P(b213, b214, b215, b216, b217, b218, b219, b220) =STDEV.P(c213, c214, c215, c216, c217, c218, c219, c220) =STDEV.P(d213, d214, d215, d216, d217, d218, d219, d220) =STDEV.P(e213, e214, e215, e216, e217, e218, e219, e220) =STDEV.P(f213, f214, f215, f216, f217, f218, f219, f220) =STDEV.P(g213, g214, g215, g216, g217, g218, g219, g220) =STDEV.P(h213, h214, h215, h216, h217, h218, h219, h220) =STDEV.P(i213, i214, i215, i216, i217, i218, i219, i220) =STDEV.P(j213, j214, j215, j216, j217, j218, j219, j220) =STDEV.P(k213, k214, k215, k216, k217, k218, k219, k220) =STDEV.P(l213, l214, l215, l216, l217, l218, l219, l220) =STDEV.P(m213, m214, m215, m216, m217, m218, m219, m220) =STDEV.P(n213, n214, n215, n216, n217, n218, n219, n220) =STDEV.P(o213, o214, o215, o216, o217, o218, o219, o220) =STDEV.P(p213, p214, p215, p216, p217, p218, p219, p220) =STDEV.P(q213, q214, q215, q216, q217, q218, q219, q220) =STDEV.P(r213, r214, r215, r216, r217, r218, r219, r220) =STDEV.P(s213, s214, s215, s216, s217, s218, s219, s220) =STDEV.P(t213, t214, t215, t216, t217, t218, t219, t220) +=AVERAGE(a221, a222, a223, a224, a225, a226, a227, a228) =AVERAGE(b221, b222, b223, b224, b225, b226, b227, b228) =AVERAGE(c221, c222, c223, c224, c225, c226, c227, c228) =AVERAGE(d221, d222, d223, d224, d225, d226, d227, d228) =AVERAGE(e221, e222, e223, e224, e225, e226, e227, e228) =AVERAGE(f221, f222, f223, f224, f225, f226, f227, f228) =AVERAGE(g221, g222, g223, g224, g225, g226, g227, g228) =AVERAGE(h221, h222, h223, h224, h225, h226, h227, h228) =AVERAGE(i221, i222, i223, i224, i225, i226, i227, i228) =AVERAGE(j221, j222, j223, j224, j225, j226, j227, j228) =AVERAGE(k221, k222, k223, k224, k225, k226, k227, k228) =AVERAGE(l221, l222, l223, l224, l225, l226, l227, l228) =AVERAGE(m221, m222, m223, m224, m225, m226, m227, m228) =AVERAGE(n221, n222, n223, n224, n225, n226, n227, n228) =AVERAGE(o221, o222, o223, o224, o225, o226, o227, o228) =AVERAGE(p221, p222, p223, p224, p225, p226, p227, p228) =AVERAGE(q221, q222, q223, q224, q225, q226, q227, q228) =AVERAGE(r221, r222, r223, r224, r225, r226, r227, r228) =AVERAGE(s221, s222, s223, s224, s225, s226, s227, s228) =AVERAGE(t221, t222, t223, t224, t225, t226, t227, t228) =STDEV.P(a221, a222, a223, a224, a225, a226, a227, a228) =STDEV.P(b221, b222, b223, b224, b225, b226, b227, b228) =STDEV.P(c221, c222, c223, c224, c225, c226, c227, c228) =STDEV.P(d221, d222, d223, d224, d225, d226, d227, d228) =STDEV.P(e221, e222, e223, e224, e225, e226, e227, e228) =STDEV.P(f221, f222, f223, f224, f225, f226, f227, f228) =STDEV.P(g221, g222, g223, g224, g225, g226, g227, g228) =STDEV.P(h221, h222, h223, h224, h225, h226, h227, h228) =STDEV.P(i221, i222, i223, i224, i225, i226, i227, i228) =STDEV.P(j221, j222, j223, j224, j225, j226, j227, j228) =STDEV.P(k221, k222, k223, k224, k225, k226, k227, k228) =STDEV.P(l221, l222, l223, l224, l225, l226, l227, l228) =STDEV.P(m221, m222, m223, m224, m225, m226, m227, m228) =STDEV.P(n221, n222, n223, n224, n225, n226, n227, n228) =STDEV.P(o221, o222, o223, o224, o225, o226, o227, o228) =STDEV.P(p221, p222, p223, p224, p225, p226, p227, p228) =STDEV.P(q221, q222, q223, q224, q225, q226, q227, q228) =STDEV.P(r221, r222, r223, r224, r225, r226, r227, r228) =STDEV.P(s221, s222, s223, s224, s225, s226, s227, s228) =STDEV.P(t221, t222, t223, t224, t225, t226, t227, t228) +=AVERAGE(a229, a230, a231, a232, a233, a234, a235, a236) =AVERAGE(b229, b230, b231, b232, b233, b234, b235, b236) =AVERAGE(c229, c230, c231, c232, c233, c234, c235, c236) =AVERAGE(d229, d230, d231, d232, d233, d234, d235, d236) =AVERAGE(e229, e230, e231, e232, e233, e234, e235, e236) =AVERAGE(f229, f230, f231, f232, f233, f234, f235, f236) =AVERAGE(g229, g230, g231, g232, g233, g234, g235, g236) =AVERAGE(h229, h230, h231, h232, h233, h234, h235, h236) =AVERAGE(i229, i230, i231, i232, i233, i234, i235, i236) =AVERAGE(j229, j230, j231, j232, j233, j234, j235, j236) =AVERAGE(k229, k230, k231, k232, k233, k234, k235, k236) =AVERAGE(l229, l230, l231, l232, l233, l234, l235, l236) =AVERAGE(m229, m230, m231, m232, m233, m234, m235, m236) =AVERAGE(n229, n230, n231, n232, n233, n234, n235, n236) =AVERAGE(o229, o230, o231, o232, o233, o234, o235, o236) =AVERAGE(p229, p230, p231, p232, p233, p234, p235, p236) =AVERAGE(q229, q230, q231, q232, q233, q234, q235, q236) =AVERAGE(r229, r230, r231, r232, r233, r234, r235, r236) =AVERAGE(s229, s230, s231, s232, s233, s234, s235, s236) =AVERAGE(t229, t230, t231, t232, t233, t234, t235, t236) =STDEV.P(a229, a230, a231, a232, a233, a234, a235, a236) =STDEV.P(b229, b230, b231, b232, b233, b234, b235, b236) =STDEV.P(c229, c230, c231, c232, c233, c234, c235, c236) =STDEV.P(d229, d230, d231, d232, d233, d234, d235, d236) =STDEV.P(e229, e230, e231, e232, e233, e234, e235, e236) =STDEV.P(f229, f230, f231, f232, f233, f234, f235, f236) =STDEV.P(g229, g230, g231, g232, g233, g234, g235, g236) =STDEV.P(h229, h230, h231, h232, h233, h234, h235, h236) =STDEV.P(i229, i230, i231, i232, i233, i234, i235, i236) =STDEV.P(j229, j230, j231, j232, j233, j234, j235, j236) =STDEV.P(k229, k230, k231, k232, k233, k234, k235, k236) =STDEV.P(l229, l230, l231, l232, l233, l234, l235, l236) =STDEV.P(m229, m230, m231, m232, m233, m234, m235, m236) =STDEV.P(n229, n230, n231, n232, n233, n234, n235, n236) =STDEV.P(o229, o230, o231, o232, o233, o234, o235, o236) =STDEV.P(p229, p230, p231, p232, p233, p234, p235, p236) =STDEV.P(q229, q230, q231, q232, q233, q234, q235, q236) =STDEV.P(r229, r230, r231, r232, r233, r234, r235, r236) =STDEV.P(s229, s230, s231, s232, s233, s234, s235, s236) =STDEV.P(t229, t230, t231, t232, t233, t234, t235, t236) +=AVERAGE(a237, a238, a239, a240, a241, a242, a243) =AVERAGE(b237, b238, b239, b240, b241, b242, b243) =AVERAGE(c237, c238, c239, c240, c241, c242, c243) =AVERAGE(d237, d238, d239, d240, d241, d242, d243) =AVERAGE(e237, e238, e239, e240, e241, e242, e243) =AVERAGE(f237, f238, f239, f240, f241, f242, f243) =AVERAGE(g237, g238, g239, g240, g241, g242, g243) =AVERAGE(h237, h238, h239, h240, h241, h242, h243) =AVERAGE(i237, i238, i239, i240, i241, i242, i243) =AVERAGE(j237, j238, j239, j240, j241, j242, j243) =AVERAGE(k237, k238, k239, k240, k241, k242, k243) =AVERAGE(l237, l238, l239, l240, l241, l242, l243) =AVERAGE(m237, m238, m239, m240, m241, m242, m243) =AVERAGE(n237, n238, n239, n240, n241, n242, n243) =AVERAGE(o237, o238, o239, o240, o241, o242, o243) =AVERAGE(p237, p238, p239, p240, p241, p242, p243) =AVERAGE(q237, q238, q239, q240, q241, q242, q243) =AVERAGE(r237, r238, r239, r240, r241, r242, r243) =AVERAGE(s237, s238, s239, s240, s241, s242, s243) =AVERAGE(t237, t238, t239, t240, t241, t242, t243) =STDEV.P(a237, a238, a239, a240, a241, a242, a243) =STDEV.P(b237, b238, b239, b240, b241, b242, b243) =STDEV.P(c237, c238, c239, c240, c241, c242, c243) =STDEV.P(d237, d238, d239, d240, d241, d242, d243) =STDEV.P(e237, e238, e239, e240, e241, e242, e243) =STDEV.P(f237, f238, f239, f240, f241, f242, f243) =STDEV.P(g237, g238, g239, g240, g241, g242, g243) =STDEV.P(h237, h238, h239, h240, h241, h242, h243) =STDEV.P(i237, i238, i239, i240, i241, i242, i243) =STDEV.P(j237, j238, j239, j240, j241, j242, j243) =STDEV.P(k237, k238, k239, k240, k241, k242, k243) =STDEV.P(l237, l238, l239, l240, l241, l242, l243) =STDEV.P(m237, m238, m239, m240, m241, m242, m243) =STDEV.P(n237, n238, n239, n240, n241, n242, n243) =STDEV.P(o237, o238, o239, o240, o241, o242, o243) =STDEV.P(p237, p238, p239, p240, p241, p242, p243) =STDEV.P(q237, q238, q239, q240, q241, q242, q243) =STDEV.P(r237, r238, r239, r240, r241, r242, r243) =STDEV.P(s237, s238, s239, s240, s241, s242, s243) =STDEV.P(t237, t238, t239, t240, t241, t242, t243) +=AVERAGE(a244, a245, a246, a247, a248, a249, a250) =AVERAGE(b244, b245, b246, b247, b248, b249, b250) =AVERAGE(c244, c245, c246, c247, c248, c249, c250) =AVERAGE(d244, d245, d246, d247, d248, d249, d250) =AVERAGE(e244, e245, e246, e247, e248, e249, e250) =AVERAGE(f244, f245, f246, f247, f248, f249, f250) =AVERAGE(g244, g245, g246, g247, g248, g249, g250) =AVERAGE(h244, h245, h246, h247, h248, h249, h250) =AVERAGE(i244, i245, i246, i247, i248, i249, i250) =AVERAGE(j244, j245, j246, j247, j248, j249, j250) =AVERAGE(k244, k245, k246, k247, k248, k249, k250) =AVERAGE(l244, l245, l246, l247, l248, l249, l250) =AVERAGE(m244, m245, m246, m247, m248, m249, m250) =AVERAGE(n244, n245, n246, n247, n248, n249, n250) =AVERAGE(o244, o245, o246, o247, o248, o249, o250) =AVERAGE(p244, p245, p246, p247, p248, p249, p250) =AVERAGE(q244, q245, q246, q247, q248, q249, q250) =AVERAGE(r244, r245, r246, r247, r248, r249, r250) =AVERAGE(s244, s245, s246, s247, s248, s249, s250) =AVERAGE(t244, t245, t246, t247, t248, t249, t250) =STDEV.P(a244, a245, a246, a247, a248, a249, a250) =STDEV.P(b244, b245, b246, b247, b248, b249, b250) =STDEV.P(c244, c245, c246, c247, c248, c249, c250) =STDEV.P(d244, d245, d246, d247, d248, d249, d250) =STDEV.P(e244, e245, e246, e247, e248, e249, e250) =STDEV.P(f244, f245, f246, f247, f248, f249, f250) =STDEV.P(g244, g245, g246, g247, g248, g249, g250) =STDEV.P(h244, h245, h246, h247, h248, h249, h250) =STDEV.P(i244, i245, i246, i247, i248, i249, i250) =STDEV.P(j244, j245, j246, j247, j248, j249, j250) =STDEV.P(k244, k245, k246, k247, k248, k249, k250) =STDEV.P(l244, l245, l246, l247, l248, l249, l250) =STDEV.P(m244, m245, m246, m247, m248, m249, m250) =STDEV.P(n244, n245, n246, n247, n248, n249, n250) =STDEV.P(o244, o245, o246, o247, o248, o249, o250) =STDEV.P(p244, p245, p246, p247, p248, p249, p250) =STDEV.P(q244, q245, q246, q247, q248, q249, q250) =STDEV.P(r244, r245, r246, r247, r248, r249, r250) =STDEV.P(s244, s245, s246, s247, s248, s249, s250) =STDEV.P(t244, t245, t246, t247, t248, t249, t250) +=AVERAGE(a251, a252, a253, a254, a255, a256, a257) =AVERAGE(b251, b252, b253, b254, b255, b256, b257) =AVERAGE(c251, c252, c253, c254, c255, c256, c257) =AVERAGE(d251, d252, d253, d254, d255, d256, d257) =AVERAGE(e251, e252, e253, e254, e255, e256, e257) =AVERAGE(f251, f252, f253, f254, f255, f256, f257) =AVERAGE(g251, g252, g253, g254, g255, g256, g257) =AVERAGE(h251, h252, h253, h254, h255, h256, h257) =AVERAGE(i251, i252, i253, i254, i255, i256, i257) =AVERAGE(j251, j252, j253, j254, j255, j256, j257) =AVERAGE(k251, k252, k253, k254, k255, k256, k257) =AVERAGE(l251, l252, l253, l254, l255, l256, l257) =AVERAGE(m251, m252, m253, m254, m255, m256, m257) =AVERAGE(n251, n252, n253, n254, n255, n256, n257) =AVERAGE(o251, o252, o253, o254, o255, o256, o257) =AVERAGE(p251, p252, p253, p254, p255, p256, p257) =AVERAGE(q251, q252, q253, q254, q255, q256, q257) =AVERAGE(r251, r252, r253, r254, r255, r256, r257) =AVERAGE(s251, s252, s253, s254, s255, s256, s257) =AVERAGE(t251, t252, t253, t254, t255, t256, t257) =STDEV.P(a251, a252, a253, a254, a255, a256, a257) =STDEV.P(b251, b252, b253, b254, b255, b256, b257) =STDEV.P(c251, c252, c253, c254, c255, c256, c257) =STDEV.P(d251, d252, d253, d254, d255, d256, d257) =STDEV.P(e251, e252, e253, e254, e255, e256, e257) =STDEV.P(f251, f252, f253, f254, f255, f256, f257) =STDEV.P(g251, g252, g253, g254, g255, g256, g257) =STDEV.P(h251, h252, h253, h254, h255, h256, h257) =STDEV.P(i251, i252, i253, i254, i255, i256, i257) =STDEV.P(j251, j252, j253, j254, j255, j256, j257) =STDEV.P(k251, k252, k253, k254, k255, k256, k257) =STDEV.P(l251, l252, l253, l254, l255, l256, l257) =STDEV.P(m251, m252, m253, m254, m255, m256, m257) =STDEV.P(n251, n252, n253, n254, n255, n256, n257) =STDEV.P(o251, o252, o253, o254, o255, o256, o257) =STDEV.P(p251, p252, p253, p254, p255, p256, p257) =STDEV.P(q251, q252, q253, q254, q255, q256, q257) =STDEV.P(r251, r252, r253, r254, r255, r256, r257) =STDEV.P(s251, s252, s253, s254, s255, s256, s257) =STDEV.P(t251, t252, t253, t254, t255, t256, t257) +=AVERAGE(a258, a259, a260, a261, a262, a263, a264) =AVERAGE(b258, b259, b260, b261, b262, b263, b264) =AVERAGE(c258, c259, c260, c261, c262, c263, c264) =AVERAGE(d258, d259, d260, d261, d262, d263, d264) =AVERAGE(e258, e259, e260, e261, e262, e263, e264) =AVERAGE(f258, f259, f260, f261, f262, f263, f264) =AVERAGE(g258, g259, g260, g261, g262, g263, g264) =AVERAGE(h258, h259, h260, h261, h262, h263, h264) =AVERAGE(i258, i259, i260, i261, i262, i263, i264) =AVERAGE(j258, j259, j260, j261, j262, j263, j264) =AVERAGE(k258, k259, k260, k261, k262, k263, k264) =AVERAGE(l258, l259, l260, l261, l262, l263, l264) =AVERAGE(m258, m259, m260, m261, m262, m263, m264) =AVERAGE(n258, n259, n260, n261, n262, n263, n264) =AVERAGE(o258, o259, o260, o261, o262, o263, o264) =AVERAGE(p258, p259, p260, p261, p262, p263, p264) =AVERAGE(q258, q259, q260, q261, q262, q263, q264) =AVERAGE(r258, r259, r260, r261, r262, r263, r264) =AVERAGE(s258, s259, s260, s261, s262, s263, s264) =AVERAGE(t258, t259, t260, t261, t262, t263, t264) =STDEV.P(a258, a259, a260, a261, a262, a263, a264) =STDEV.P(b258, b259, b260, b261, b262, b263, b264) =STDEV.P(c258, c259, c260, c261, c262, c263, c264) =STDEV.P(d258, d259, d260, d261, d262, d263, d264) =STDEV.P(e258, e259, e260, e261, e262, e263, e264) =STDEV.P(f258, f259, f260, f261, f262, f263, f264) =STDEV.P(g258, g259, g260, g261, g262, g263, g264) =STDEV.P(h258, h259, h260, h261, h262, h263, h264) =STDEV.P(i258, i259, i260, i261, i262, i263, i264) =STDEV.P(j258, j259, j260, j261, j262, j263, j264) =STDEV.P(k258, k259, k260, k261, k262, k263, k264) =STDEV.P(l258, l259, l260, l261, l262, l263, l264) =STDEV.P(m258, m259, m260, m261, m262, m263, m264) =STDEV.P(n258, n259, n260, n261, n262, n263, n264) =STDEV.P(o258, o259, o260, o261, o262, o263, o264) =STDEV.P(p258, p259, p260, p261, p262, p263, p264) =STDEV.P(q258, q259, q260, q261, q262, q263, q264) =STDEV.P(r258, r259, r260, r261, r262, r263, r264) =STDEV.P(s258, s259, s260, s261, s262, s263, s264) =STDEV.P(t258, t259, t260, t261, t262, t263, t264) +=AVERAGE(a265, a266, a267, a268, a269, a270, a271) =AVERAGE(b265, b266, b267, b268, b269, b270, b271) =AVERAGE(c265, c266, c267, c268, c269, c270, c271) =AVERAGE(d265, d266, d267, d268, d269, d270, d271) =AVERAGE(e265, e266, e267, e268, e269, e270, e271) =AVERAGE(f265, f266, f267, f268, f269, f270, f271) =AVERAGE(g265, g266, g267, g268, g269, g270, g271) =AVERAGE(h265, h266, h267, h268, h269, h270, h271) =AVERAGE(i265, i266, i267, i268, i269, i270, i271) =AVERAGE(j265, j266, j267, j268, j269, j270, j271) =AVERAGE(k265, k266, k267, k268, k269, k270, k271) =AVERAGE(l265, l266, l267, l268, l269, l270, l271) =AVERAGE(m265, m266, m267, m268, m269, m270, m271) =AVERAGE(n265, n266, n267, n268, n269, n270, n271) =AVERAGE(o265, o266, o267, o268, o269, o270, o271) =AVERAGE(p265, p266, p267, p268, p269, p270, p271) =AVERAGE(q265, q266, q267, q268, q269, q270, q271) =AVERAGE(r265, r266, r267, r268, r269, r270, r271) =AVERAGE(s265, s266, s267, s268, s269, s270, s271) =AVERAGE(t265, t266, t267, t268, t269, t270, t271) =STDEV.P(a265, a266, a267, a268, a269, a270, a271) =STDEV.P(b265, b266, b267, b268, b269, b270, b271) =STDEV.P(c265, c266, c267, c268, c269, c270, c271) =STDEV.P(d265, d266, d267, d268, d269, d270, d271) =STDEV.P(e265, e266, e267, e268, e269, e270, e271) =STDEV.P(f265, f266, f267, f268, f269, f270, f271) =STDEV.P(g265, g266, g267, g268, g269, g270, g271) =STDEV.P(h265, h266, h267, h268, h269, h270, h271) =STDEV.P(i265, i266, i267, i268, i269, i270, i271) =STDEV.P(j265, j266, j267, j268, j269, j270, j271) =STDEV.P(k265, k266, k267, k268, k269, k270, k271) =STDEV.P(l265, l266, l267, l268, l269, l270, l271) =STDEV.P(m265, m266, m267, m268, m269, m270, m271) =STDEV.P(n265, n266, n267, n268, n269, n270, n271) =STDEV.P(o265, o266, o267, o268, o269, o270, o271) =STDEV.P(p265, p266, p267, p268, p269, p270, p271) =STDEV.P(q265, q266, q267, q268, q269, q270, q271) =STDEV.P(r265, r266, r267, r268, r269, r270, r271) =STDEV.P(s265, s266, s267, s268, s269, s270, s271) =STDEV.P(t265, t266, t267, t268, t269, t270, t271) +=AVERAGE(a272, a273, a274, a275, a276, a277) =AVERAGE(b272, b273, b274, b275, b276, b277) =AVERAGE(c272, c273, c274, c275, c276, c277) =AVERAGE(d272, d273, d274, d275, d276, d277) =AVERAGE(e272, e273, e274, e275, e276, e277) =AVERAGE(f272, f273, f274, f275, f276, f277) =AVERAGE(g272, g273, g274, g275, g276, g277) =AVERAGE(h272, h273, h274, h275, h276, h277) =AVERAGE(i272, i273, i274, i275, i276, i277) =AVERAGE(j272, j273, j274, j275, j276, j277) =AVERAGE(k272, k273, k274, k275, k276, k277) =AVERAGE(l272, l273, l274, l275, l276, l277) =AVERAGE(m272, m273, m274, m275, m276, m277) =AVERAGE(n272, n273, n274, n275, n276, n277) =AVERAGE(o272, o273, o274, o275, o276, o277) =AVERAGE(p272, p273, p274, p275, p276, p277) =AVERAGE(q272, q273, q274, q275, q276, q277) =AVERAGE(r272, r273, r274, r275, r276, r277) =AVERAGE(s272, s273, s274, s275, s276, s277) =AVERAGE(t272, t273, t274, t275, t276, t277) =STDEV.P(a272, a273, a274, a275, a276, a277) =STDEV.P(b272, b273, b274, b275, b276, b277) =STDEV.P(c272, c273, c274, c275, c276, c277) =STDEV.P(d272, d273, d274, d275, d276, d277) =STDEV.P(e272, e273, e274, e275, e276, e277) =STDEV.P(f272, f273, f274, f275, f276, f277) =STDEV.P(g272, g273, g274, g275, g276, g277) =STDEV.P(h272, h273, h274, h275, h276, h277) =STDEV.P(i272, i273, i274, i275, i276, i277) =STDEV.P(j272, j273, j274, j275, j276, j277) =STDEV.P(k272, k273, k274, k275, k276, k277) =STDEV.P(l272, l273, l274, l275, l276, l277) =STDEV.P(m272, m273, m274, m275, m276, m277) =STDEV.P(n272, n273, n274, n275, n276, n277) =STDEV.P(o272, o273, o274, o275, o276, o277) =STDEV.P(p272, p273, p274, p275, p276, p277) =STDEV.P(q272, q273, q274, q275, q276, q277) =STDEV.P(r272, r273, r274, r275, r276, r277) =STDEV.P(s272, s273, s274, s275, s276, s277) =STDEV.P(t272, t273, t274, t275, t276, t277) +=AVERAGE(a278, a279, a280, a281, a282, a283) =AVERAGE(b278, b279, b280, b281, b282, b283) =AVERAGE(c278, c279, c280, c281, c282, c283) =AVERAGE(d278, d279, d280, d281, d282, d283) =AVERAGE(e278, e279, e280, e281, e282, e283) =AVERAGE(f278, f279, f280, f281, f282, f283) =AVERAGE(g278, g279, g280, g281, g282, g283) =AVERAGE(h278, h279, h280, h281, h282, h283) =AVERAGE(i278, i279, i280, i281, i282, i283) =AVERAGE(j278, j279, j280, j281, j282, j283) =AVERAGE(k278, k279, k280, k281, k282, k283) =AVERAGE(l278, l279, l280, l281, l282, l283) =AVERAGE(m278, m279, m280, m281, m282, m283) =AVERAGE(n278, n279, n280, n281, n282, n283) =AVERAGE(o278, o279, o280, o281, o282, o283) =AVERAGE(p278, p279, p280, p281, p282, p283) =AVERAGE(q278, q279, q280, q281, q282, q283) =AVERAGE(r278, r279, r280, r281, r282, r283) =AVERAGE(s278, s279, s280, s281, s282, s283) =AVERAGE(t278, t279, t280, t281, t282, t283) =STDEV.P(a278, a279, a280, a281, a282, a283) =STDEV.P(b278, b279, b280, b281, b282, b283) =STDEV.P(c278, c279, c280, c281, c282, c283) =STDEV.P(d278, d279, d280, d281, d282, d283) =STDEV.P(e278, e279, e280, e281, e282, e283) =STDEV.P(f278, f279, f280, f281, f282, f283) =STDEV.P(g278, g279, g280, g281, g282, g283) =STDEV.P(h278, h279, h280, h281, h282, h283) =STDEV.P(i278, i279, i280, i281, i282, i283) =STDEV.P(j278, j279, j280, j281, j282, j283) =STDEV.P(k278, k279, k280, k281, k282, k283) =STDEV.P(l278, l279, l280, l281, l282, l283) =STDEV.P(m278, m279, m280, m281, m282, m283) =STDEV.P(n278, n279, n280, n281, n282, n283) =STDEV.P(o278, o279, o280, o281, o282, o283) =STDEV.P(p278, p279, p280, p281, p282, p283) =STDEV.P(q278, q279, q280, q281, q282, q283) =STDEV.P(r278, r279, r280, r281, r282, r283) =STDEV.P(s278, s279, s280, s281, s282, s283) =STDEV.P(t278, t279, t280, t281, t282, t283) +=AVERAGE(a284, a285, a286, a287, a288, a289) =AVERAGE(b284, b285, b286, b287, b288, b289) =AVERAGE(c284, c285, c286, c287, c288, c289) =AVERAGE(d284, d285, d286, d287, d288, d289) =AVERAGE(e284, e285, e286, e287, e288, e289) =AVERAGE(f284, f285, f286, f287, f288, f289) =AVERAGE(g284, g285, g286, g287, g288, g289) =AVERAGE(h284, h285, h286, h287, h288, h289) =AVERAGE(i284, i285, i286, i287, i288, i289) =AVERAGE(j284, j285, j286, j287, j288, j289) =AVERAGE(k284, k285, k286, k287, k288, k289) =AVERAGE(l284, l285, l286, l287, l288, l289) =AVERAGE(m284, m285, m286, m287, m288, m289) =AVERAGE(n284, n285, n286, n287, n288, n289) =AVERAGE(o284, o285, o286, o287, o288, o289) =AVERAGE(p284, p285, p286, p287, p288, p289) =AVERAGE(q284, q285, q286, q287, q288, q289) =AVERAGE(r284, r285, r286, r287, r288, r289) =AVERAGE(s284, s285, s286, s287, s288, s289) =AVERAGE(t284, t285, t286, t287, t288, t289) =STDEV.P(a284, a285, a286, a287, a288, a289) =STDEV.P(b284, b285, b286, b287, b288, b289) =STDEV.P(c284, c285, c286, c287, c288, c289) =STDEV.P(d284, d285, d286, d287, d288, d289) =STDEV.P(e284, e285, e286, e287, e288, e289) =STDEV.P(f284, f285, f286, f287, f288, f289) =STDEV.P(g284, g285, g286, g287, g288, g289) =STDEV.P(h284, h285, h286, h287, h288, h289) =STDEV.P(i284, i285, i286, i287, i288, i289) =STDEV.P(j284, j285, j286, j287, j288, j289) =STDEV.P(k284, k285, k286, k287, k288, k289) =STDEV.P(l284, l285, l286, l287, l288, l289) =STDEV.P(m284, m285, m286, m287, m288, m289) =STDEV.P(n284, n285, n286, n287, n288, n289) =STDEV.P(o284, o285, o286, o287, o288, o289) =STDEV.P(p284, p285, p286, p287, p288, p289) =STDEV.P(q284, q285, q286, q287, q288, q289) =STDEV.P(r284, r285, r286, r287, r288, r289) =STDEV.P(s284, s285, s286, s287, s288, s289) =STDEV.P(t284, t285, t286, t287, t288, t289) +=AVERAGE(a290, a291, a292, a293, a294, a295) =AVERAGE(b290, b291, b292, b293, b294, b295) =AVERAGE(c290, c291, c292, c293, c294, c295) =AVERAGE(d290, d291, d292, d293, d294, d295) =AVERAGE(e290, e291, e292, e293, e294, e295) =AVERAGE(f290, f291, f292, f293, f294, f295) =AVERAGE(g290, g291, g292, g293, g294, g295) =AVERAGE(h290, h291, h292, h293, h294, h295) =AVERAGE(i290, i291, i292, i293, i294, i295) =AVERAGE(j290, j291, j292, j293, j294, j295) =AVERAGE(k290, k291, k292, k293, k294, k295) =AVERAGE(l290, l291, l292, l293, l294, l295) =AVERAGE(m290, m291, m292, m293, m294, m295) =AVERAGE(n290, n291, n292, n293, n294, n295) =AVERAGE(o290, o291, o292, o293, o294, o295) =AVERAGE(p290, p291, p292, p293, p294, p295) =AVERAGE(q290, q291, q292, q293, q294, q295) =AVERAGE(r290, r291, r292, r293, r294, r295) =AVERAGE(s290, s291, s292, s293, s294, s295) =AVERAGE(t290, t291, t292, t293, t294, t295) =STDEV.P(a290, a291, a292, a293, a294, a295) =STDEV.P(b290, b291, b292, b293, b294, b295) =STDEV.P(c290, c291, c292, c293, c294, c295) =STDEV.P(d290, d291, d292, d293, d294, d295) =STDEV.P(e290, e291, e292, e293, e294, e295) =STDEV.P(f290, f291, f292, f293, f294, f295) =STDEV.P(g290, g291, g292, g293, g294, g295) =STDEV.P(h290, h291, h292, h293, h294, h295) =STDEV.P(i290, i291, i292, i293, i294, i295) =STDEV.P(j290, j291, j292, j293, j294, j295) =STDEV.P(k290, k291, k292, k293, k294, k295) =STDEV.P(l290, l291, l292, l293, l294, l295) =STDEV.P(m290, m291, m292, m293, m294, m295) =STDEV.P(n290, n291, n292, n293, n294, n295) =STDEV.P(o290, o291, o292, o293, o294, o295) =STDEV.P(p290, p291, p292, p293, p294, p295) =STDEV.P(q290, q291, q292, q293, q294, q295) =STDEV.P(r290, r291, r292, r293, r294, r295) =STDEV.P(s290, s291, s292, s293, s294, s295) =STDEV.P(t290, t291, t292, t293, t294, t295) +=AVERAGE(a296, a297, a298, a299, a300, a301) =AVERAGE(b296, b297, b298, b299, b300, b301) =AVERAGE(c296, c297, c298, c299, c300, c301) =AVERAGE(d296, d297, d298, d299, d300, d301) =AVERAGE(e296, e297, e298, e299, e300, e301) =AVERAGE(f296, f297, f298, f299, f300, f301) =AVERAGE(g296, g297, g298, g299, g300, g301) =AVERAGE(h296, h297, h298, h299, h300, h301) =AVERAGE(i296, i297, i298, i299, i300, i301) =AVERAGE(j296, j297, j298, j299, j300, j301) =AVERAGE(k296, k297, k298, k299, k300, k301) =AVERAGE(l296, l297, l298, l299, l300, l301) =AVERAGE(m296, m297, m298, m299, m300, m301) =AVERAGE(n296, n297, n298, n299, n300, n301) =AVERAGE(o296, o297, o298, o299, o300, o301) =AVERAGE(p296, p297, p298, p299, p300, p301) =AVERAGE(q296, q297, q298, q299, q300, q301) =AVERAGE(r296, r297, r298, r299, r300, r301) =AVERAGE(s296, s297, s298, s299, s300, s301) =AVERAGE(t296, t297, t298, t299, t300, t301) =STDEV.P(a296, a297, a298, a299, a300, a301) =STDEV.P(b296, b297, b298, b299, b300, b301) =STDEV.P(c296, c297, c298, c299, c300, c301) =STDEV.P(d296, d297, d298, d299, d300, d301) =STDEV.P(e296, e297, e298, e299, e300, e301) =STDEV.P(f296, f297, f298, f299, f300, f301) =STDEV.P(g296, g297, g298, g299, g300, g301) =STDEV.P(h296, h297, h298, h299, h300, h301) =STDEV.P(i296, i297, i298, i299, i300, i301) =STDEV.P(j296, j297, j298, j299, j300, j301) =STDEV.P(k296, k297, k298, k299, k300, k301) =STDEV.P(l296, l297, l298, l299, l300, l301) =STDEV.P(m296, m297, m298, m299, m300, m301) =STDEV.P(n296, n297, n298, n299, n300, n301) =STDEV.P(o296, o297, o298, o299, o300, o301) =STDEV.P(p296, p297, p298, p299, p300, p301) =STDEV.P(q296, q297, q298, q299, q300, q301) =STDEV.P(r296, r297, r298, r299, r300, r301) =STDEV.P(s296, s297, s298, s299, s300, s301) =STDEV.P(t296, t297, t298, t299, t300, t301) +=AVERAGE(a302, a303, a304, a305, a306) =AVERAGE(b302, b303, b304, b305, b306) =AVERAGE(c302, c303, c304, c305, c306) =AVERAGE(d302, d303, d304, d305, d306) =AVERAGE(e302, e303, e304, e305, e306) =AVERAGE(f302, f303, f304, f305, f306) =AVERAGE(g302, g303, g304, g305, g306) =AVERAGE(h302, h303, h304, h305, h306) =AVERAGE(i302, i303, i304, i305, i306) =AVERAGE(j302, j303, j304, j305, j306) =AVERAGE(k302, k303, k304, k305, k306) =AVERAGE(l302, l303, l304, l305, l306) =AVERAGE(m302, m303, m304, m305, m306) =AVERAGE(n302, n303, n304, n305, n306) =AVERAGE(o302, o303, o304, o305, o306) =AVERAGE(p302, p303, p304, p305, p306) =AVERAGE(q302, q303, q304, q305, q306) =AVERAGE(r302, r303, r304, r305, r306) =AVERAGE(s302, s303, s304, s305, s306) =AVERAGE(t302, t303, t304, t305, t306) =STDEV.P(a302, a303, a304, a305, a306) =STDEV.P(b302, b303, b304, b305, b306) =STDEV.P(c302, c303, c304, c305, c306) =STDEV.P(d302, d303, d304, d305, d306) =STDEV.P(e302, e303, e304, e305, e306) =STDEV.P(f302, f303, f304, f305, f306) =STDEV.P(g302, g303, g304, g305, g306) =STDEV.P(h302, h303, h304, h305, h306) =STDEV.P(i302, i303, i304, i305, i306) =STDEV.P(j302, j303, j304, j305, j306) =STDEV.P(k302, k303, k304, k305, k306) =STDEV.P(l302, l303, l304, l305, l306) =STDEV.P(m302, m303, m304, m305, m306) =STDEV.P(n302, n303, n304, n305, n306) =STDEV.P(o302, o303, o304, o305, o306) =STDEV.P(p302, p303, p304, p305, p306) =STDEV.P(q302, q303, q304, q305, q306) =STDEV.P(r302, r303, r304, r305, r306) =STDEV.P(s302, s303, s304, s305, s306) =STDEV.P(t302, t303, t304, t305, t306) +=AVERAGE(a307, a308, a309, a310, a311) =AVERAGE(b307, b308, b309, b310, b311) =AVERAGE(c307, c308, c309, c310, c311) =AVERAGE(d307, d308, d309, d310, d311) =AVERAGE(e307, e308, e309, e310, e311) =AVERAGE(f307, f308, f309, f310, f311) =AVERAGE(g307, g308, g309, g310, g311) =AVERAGE(h307, h308, h309, h310, h311) =AVERAGE(i307, i308, i309, i310, i311) =AVERAGE(j307, j308, j309, j310, j311) =AVERAGE(k307, k308, k309, k310, k311) =AVERAGE(l307, l308, l309, l310, l311) =AVERAGE(m307, m308, m309, m310, m311) =AVERAGE(n307, n308, n309, n310, n311) =AVERAGE(o307, o308, o309, o310, o311) =AVERAGE(p307, p308, p309, p310, p311) =AVERAGE(q307, q308, q309, q310, q311) =AVERAGE(r307, r308, r309, r310, r311) =AVERAGE(s307, s308, s309, s310, s311) =AVERAGE(t307, t308, t309, t310, t311) =STDEV.P(a307, a308, a309, a310, a311) =STDEV.P(b307, b308, b309, b310, b311) =STDEV.P(c307, c308, c309, c310, c311) =STDEV.P(d307, d308, d309, d310, d311) =STDEV.P(e307, e308, e309, e310, e311) =STDEV.P(f307, f308, f309, f310, f311) =STDEV.P(g307, g308, g309, g310, g311) =STDEV.P(h307, h308, h309, h310, h311) =STDEV.P(i307, i308, i309, i310, i311) =STDEV.P(j307, j308, j309, j310, j311) =STDEV.P(k307, k308, k309, k310, k311) =STDEV.P(l307, l308, l309, l310, l311) =STDEV.P(m307, m308, m309, m310, m311) =STDEV.P(n307, n308, n309, n310, n311) =STDEV.P(o307, o308, o309, o310, o311) =STDEV.P(p307, p308, p309, p310, p311) =STDEV.P(q307, q308, q309, q310, q311) =STDEV.P(r307, r308, r309, r310, r311) =STDEV.P(s307, s308, s309, s310, s311) =STDEV.P(t307, t308, t309, t310, t311) +=AVERAGE(a312, a313, a314, a315, a316) =AVERAGE(b312, b313, b314, b315, b316) =AVERAGE(c312, c313, c314, c315, c316) =AVERAGE(d312, d313, d314, d315, d316) =AVERAGE(e312, e313, e314, e315, e316) =AVERAGE(f312, f313, f314, f315, f316) =AVERAGE(g312, g313, g314, g315, g316) =AVERAGE(h312, h313, h314, h315, h316) =AVERAGE(i312, i313, i314, i315, i316) =AVERAGE(j312, j313, j314, j315, j316) =AVERAGE(k312, k313, k314, k315, k316) =AVERAGE(l312, l313, l314, l315, l316) =AVERAGE(m312, m313, m314, m315, m316) =AVERAGE(n312, n313, n314, n315, n316) =AVERAGE(o312, o313, o314, o315, o316) =AVERAGE(p312, p313, p314, p315, p316) =AVERAGE(q312, q313, q314, q315, q316) =AVERAGE(r312, r313, r314, r315, r316) =AVERAGE(s312, s313, s314, s315, s316) =AVERAGE(t312, t313, t314, t315, t316) =STDEV.P(a312, a313, a314, a315, a316) =STDEV.P(b312, b313, b314, b315, b316) =STDEV.P(c312, c313, c314, c315, c316) =STDEV.P(d312, d313, d314, d315, d316) =STDEV.P(e312, e313, e314, e315, e316) =STDEV.P(f312, f313, f314, f315, f316) =STDEV.P(g312, g313, g314, g315, g316) =STDEV.P(h312, h313, h314, h315, h316) =STDEV.P(i312, i313, i314, i315, i316) =STDEV.P(j312, j313, j314, j315, j316) =STDEV.P(k312, k313, k314, k315, k316) =STDEV.P(l312, l313, l314, l315, l316) =STDEV.P(m312, m313, m314, m315, m316) =STDEV.P(n312, n313, n314, n315, n316) =STDEV.P(o312, o313, o314, o315, o316) =STDEV.P(p312, p313, p314, p315, p316) =STDEV.P(q312, q313, q314, q315, q316) =STDEV.P(r312, r313, r314, r315, r316) =STDEV.P(s312, s313, s314, s315, s316) =STDEV.P(t312, t313, t314, t315, t316) +=AVERAGE(a317, a318, a319, a320, a321) =AVERAGE(b317, b318, b319, b320, b321) =AVERAGE(c317, c318, c319, c320, c321) =AVERAGE(d317, d318, d319, d320, d321) =AVERAGE(e317, e318, e319, e320, e321) =AVERAGE(f317, f318, f319, f320, f321) =AVERAGE(g317, g318, g319, g320, g321) =AVERAGE(h317, h318, h319, h320, h321) =AVERAGE(i317, i318, i319, i320, i321) =AVERAGE(j317, j318, j319, j320, j321) =AVERAGE(k317, k318, k319, k320, k321) =AVERAGE(l317, l318, l319, l320, l321) =AVERAGE(m317, m318, m319, m320, m321) =AVERAGE(n317, n318, n319, n320, n321) =AVERAGE(o317, o318, o319, o320, o321) =AVERAGE(p317, p318, p319, p320, p321) =AVERAGE(q317, q318, q319, q320, q321) =AVERAGE(r317, r318, r319, r320, r321) =AVERAGE(s317, s318, s319, s320, s321) =AVERAGE(t317, t318, t319, t320, t321) =STDEV.P(a317, a318, a319, a320, a321) =STDEV.P(b317, b318, b319, b320, b321) =STDEV.P(c317, c318, c319, c320, c321) =STDEV.P(d317, d318, d319, d320, d321) =STDEV.P(e317, e318, e319, e320, e321) =STDEV.P(f317, f318, f319, f320, f321) =STDEV.P(g317, g318, g319, g320, g321) =STDEV.P(h317, h318, h319, h320, h321) =STDEV.P(i317, i318, i319, i320, i321) =STDEV.P(j317, j318, j319, j320, j321) =STDEV.P(k317, k318, k319, k320, k321) =STDEV.P(l317, l318, l319, l320, l321) =STDEV.P(m317, m318, m319, m320, m321) =STDEV.P(n317, n318, n319, n320, n321) =STDEV.P(o317, o318, o319, o320, o321) =STDEV.P(p317, p318, p319, p320, p321) =STDEV.P(q317, q318, q319, q320, q321) =STDEV.P(r317, r318, r319, r320, r321) =STDEV.P(s317, s318, s319, s320, s321) =STDEV.P(t317, t318, t319, t320, t321) +=AVERAGE(a322, a323, a324, a325, a326) =AVERAGE(b322, b323, b324, b325, b326) =AVERAGE(c322, c323, c324, c325, c326) =AVERAGE(d322, d323, d324, d325, d326) =AVERAGE(e322, e323, e324, e325, e326) =AVERAGE(f322, f323, f324, f325, f326) =AVERAGE(g322, g323, g324, g325, g326) =AVERAGE(h322, h323, h324, h325, h326) =AVERAGE(i322, i323, i324, i325, i326) =AVERAGE(j322, j323, j324, j325, j326) =AVERAGE(k322, k323, k324, k325, k326) =AVERAGE(l322, l323, l324, l325, l326) =AVERAGE(m322, m323, m324, m325, m326) =AVERAGE(n322, n323, n324, n325, n326) =AVERAGE(o322, o323, o324, o325, o326) =AVERAGE(p322, p323, p324, p325, p326) =AVERAGE(q322, q323, q324, q325, q326) =AVERAGE(r322, r323, r324, r325, r326) =AVERAGE(s322, s323, s324, s325, s326) =AVERAGE(t322, t323, t324, t325, t326) =STDEV.P(a322, a323, a324, a325, a326) =STDEV.P(b322, b323, b324, b325, b326) =STDEV.P(c322, c323, c324, c325, c326) =STDEV.P(d322, d323, d324, d325, d326) =STDEV.P(e322, e323, e324, e325, e326) =STDEV.P(f322, f323, f324, f325, f326) =STDEV.P(g322, g323, g324, g325, g326) =STDEV.P(h322, h323, h324, h325, h326) =STDEV.P(i322, i323, i324, i325, i326) =STDEV.P(j322, j323, j324, j325, j326) =STDEV.P(k322, k323, k324, k325, k326) =STDEV.P(l322, l323, l324, l325, l326) =STDEV.P(m322, m323, m324, m325, m326) =STDEV.P(n322, n323, n324, n325, n326) =STDEV.P(o322, o323, o324, o325, o326) =STDEV.P(p322, p323, p324, p325, p326) =STDEV.P(q322, q323, q324, q325, q326) =STDEV.P(r322, r323, r324, r325, r326) =STDEV.P(s322, s323, s324, s325, s326) =STDEV.P(t322, t323, t324, t325, t326) +=AVERAGE(a327, a328, a329, a330) =AVERAGE(b327, b328, b329, b330) =AVERAGE(c327, c328, c329, c330) =AVERAGE(d327, d328, d329, d330) =AVERAGE(e327, e328, e329, e330) =AVERAGE(f327, f328, f329, f330) =AVERAGE(g327, g328, g329, g330) =AVERAGE(h327, h328, h329, h330) =AVERAGE(i327, i328, i329, i330) =AVERAGE(j327, j328, j329, j330) =AVERAGE(k327, k328, k329, k330) =AVERAGE(l327, l328, l329, l330) =AVERAGE(m327, m328, m329, m330) =AVERAGE(n327, n328, n329, n330) =AVERAGE(o327, o328, o329, o330) =AVERAGE(p327, p328, p329, p330) =AVERAGE(q327, q328, q329, q330) =AVERAGE(r327, r328, r329, r330) =AVERAGE(s327, s328, s329, s330) =AVERAGE(t327, t328, t329, t330) =STDEV.P(a327, a328, a329, a330) =STDEV.P(b327, b328, b329, b330) =STDEV.P(c327, c328, c329, c330) =STDEV.P(d327, d328, d329, d330) =STDEV.P(e327, e328, e329, e330) =STDEV.P(f327, f328, f329, f330) =STDEV.P(g327, g328, g329, g330) =STDEV.P(h327, h328, h329, h330) =STDEV.P(i327, i328, i329, i330) =STDEV.P(j327, j328, j329, j330) =STDEV.P(k327, k328, k329, k330) =STDEV.P(l327, l328, l329, l330) =STDEV.P(m327, m328, m329, m330) =STDEV.P(n327, n328, n329, n330) =STDEV.P(o327, o328, o329, o330) =STDEV.P(p327, p328, p329, p330) =STDEV.P(q327, q328, q329, q330) =STDEV.P(r327, r328, r329, r330) =STDEV.P(s327, s328, s329, s330) =STDEV.P(t327, t328, t329, t330) +=AVERAGE(a331, a332, a333, a334) =AVERAGE(b331, b332, b333, b334) =AVERAGE(c331, c332, c333, c334) =AVERAGE(d331, d332, d333, d334) =AVERAGE(e331, e332, e333, e334) =AVERAGE(f331, f332, f333, f334) =AVERAGE(g331, g332, g333, g334) =AVERAGE(h331, h332, h333, h334) =AVERAGE(i331, i332, i333, i334) =AVERAGE(j331, j332, j333, j334) =AVERAGE(k331, k332, k333, k334) =AVERAGE(l331, l332, l333, l334) =AVERAGE(m331, m332, m333, m334) =AVERAGE(n331, n332, n333, n334) =AVERAGE(o331, o332, o333, o334) =AVERAGE(p331, p332, p333, p334) =AVERAGE(q331, q332, q333, q334) =AVERAGE(r331, r332, r333, r334) =AVERAGE(s331, s332, s333, s334) =AVERAGE(t331, t332, t333, t334) =STDEV.P(a331, a332, a333, a334) =STDEV.P(b331, b332, b333, b334) =STDEV.P(c331, c332, c333, c334) =STDEV.P(d331, d332, d333, d334) =STDEV.P(e331, e332, e333, e334) =STDEV.P(f331, f332, f333, f334) =STDEV.P(g331, g332, g333, g334) =STDEV.P(h331, h332, h333, h334) =STDEV.P(i331, i332, i333, i334) =STDEV.P(j331, j332, j333, j334) =STDEV.P(k331, k332, k333, k334) =STDEV.P(l331, l332, l333, l334) =STDEV.P(m331, m332, m333, m334) =STDEV.P(n331, n332, n333, n334) =STDEV.P(o331, o332, o333, o334) =STDEV.P(p331, p332, p333, p334) =STDEV.P(q331, q332, q333, q334) =STDEV.P(r331, r332, r333, r334) =STDEV.P(s331, s332, s333, s334) =STDEV.P(t331, t332, t333, t334) +=AVERAGE(a335, a336, a337, a338) =AVERAGE(b335, b336, b337, b338) =AVERAGE(c335, c336, c337, c338) =AVERAGE(d335, d336, d337, d338) =AVERAGE(e335, e336, e337, e338) =AVERAGE(f335, f336, f337, f338) =AVERAGE(g335, g336, g337, g338) =AVERAGE(h335, h336, h337, h338) =AVERAGE(i335, i336, i337, i338) =AVERAGE(j335, j336, j337, j338) =AVERAGE(k335, k336, k337, k338) =AVERAGE(l335, l336, l337, l338) =AVERAGE(m335, m336, m337, m338) =AVERAGE(n335, n336, n337, n338) =AVERAGE(o335, o336, o337, o338) =AVERAGE(p335, p336, p337, p338) =AVERAGE(q335, q336, q337, q338) =AVERAGE(r335, r336, r337, r338) =AVERAGE(s335, s336, s337, s338) =AVERAGE(t335, t336, t337, t338) =STDEV.P(a335, a336, a337, a338) =STDEV.P(b335, b336, b337, b338) =STDEV.P(c335, c336, c337, c338) =STDEV.P(d335, d336, d337, d338) =STDEV.P(e335, e336, e337, e338) =STDEV.P(f335, f336, f337, f338) =STDEV.P(g335, g336, g337, g338) =STDEV.P(h335, h336, h337, h338) =STDEV.P(i335, i336, i337, i338) =STDEV.P(j335, j336, j337, j338) =STDEV.P(k335, k336, k337, k338) =STDEV.P(l335, l336, l337, l338) =STDEV.P(m335, m336, m337, m338) =STDEV.P(n335, n336, n337, n338) =STDEV.P(o335, o336, o337, o338) =STDEV.P(p335, p336, p337, p338) =STDEV.P(q335, q336, q337, q338) =STDEV.P(r335, r336, r337, r338) =STDEV.P(s335, s336, s337, s338) =STDEV.P(t335, t336, t337, t338) +=AVERAGE(a339, a340, a341, a342) =AVERAGE(b339, b340, b341, b342) =AVERAGE(c339, c340, c341, c342) =AVERAGE(d339, d340, d341, d342) =AVERAGE(e339, e340, e341, e342) =AVERAGE(f339, f340, f341, f342) =AVERAGE(g339, g340, g341, g342) =AVERAGE(h339, h340, h341, h342) =AVERAGE(i339, i340, i341, i342) =AVERAGE(j339, j340, j341, j342) =AVERAGE(k339, k340, k341, k342) =AVERAGE(l339, l340, l341, l342) =AVERAGE(m339, m340, m341, m342) =AVERAGE(n339, n340, n341, n342) =AVERAGE(o339, o340, o341, o342) =AVERAGE(p339, p340, p341, p342) =AVERAGE(q339, q340, q341, q342) =AVERAGE(r339, r340, r341, r342) =AVERAGE(s339, s340, s341, s342) =AVERAGE(t339, t340, t341, t342) =STDEV.P(a339, a340, a341, a342) =STDEV.P(b339, b340, b341, b342) =STDEV.P(c339, c340, c341, c342) =STDEV.P(d339, d340, d341, d342) =STDEV.P(e339, e340, e341, e342) =STDEV.P(f339, f340, f341, f342) =STDEV.P(g339, g340, g341, g342) =STDEV.P(h339, h340, h341, h342) =STDEV.P(i339, i340, i341, i342) =STDEV.P(j339, j340, j341, j342) =STDEV.P(k339, k340, k341, k342) =STDEV.P(l339, l340, l341, l342) =STDEV.P(m339, m340, m341, m342) =STDEV.P(n339, n340, n341, n342) =STDEV.P(o339, o340, o341, o342) =STDEV.P(p339, p340, p341, p342) =STDEV.P(q339, q340, q341, q342) =STDEV.P(r339, r340, r341, r342) =STDEV.P(s339, s340, s341, s342) =STDEV.P(t339, t340, t341, t342) +=AVERAGE(a343, a344, a345, a346) =AVERAGE(b343, b344, b345, b346) =AVERAGE(c343, c344, c345, c346) =AVERAGE(d343, d344, d345, d346) =AVERAGE(e343, e344, e345, e346) =AVERAGE(f343, f344, f345, f346) =AVERAGE(g343, g344, g345, g346) =AVERAGE(h343, h344, h345, h346) =AVERAGE(i343, i344, i345, i346) =AVERAGE(j343, j344, j345, j346) =AVERAGE(k343, k344, k345, k346) =AVERAGE(l343, l344, l345, l346) =AVERAGE(m343, m344, m345, m346) =AVERAGE(n343, n344, n345, n346) =AVERAGE(o343, o344, o345, o346) =AVERAGE(p343, p344, p345, p346) =AVERAGE(q343, q344, q345, q346) =AVERAGE(r343, r344, r345, r346) =AVERAGE(s343, s344, s345, s346) =AVERAGE(t343, t344, t345, t346) =STDEV.P(a343, a344, a345, a346) =STDEV.P(b343, b344, b345, b346) =STDEV.P(c343, c344, c345, c346) =STDEV.P(d343, d344, d345, d346) =STDEV.P(e343, e344, e345, e346) =STDEV.P(f343, f344, f345, f346) =STDEV.P(g343, g344, g345, g346) =STDEV.P(h343, h344, h345, h346) =STDEV.P(i343, i344, i345, i346) =STDEV.P(j343, j344, j345, j346) =STDEV.P(k343, k344, k345, k346) =STDEV.P(l343, l344, l345, l346) =STDEV.P(m343, m344, m345, m346) =STDEV.P(n343, n344, n345, n346) =STDEV.P(o343, o344, o345, o346) =STDEV.P(p343, p344, p345, p346) =STDEV.P(q343, q344, q345, q346) =STDEV.P(r343, r344, r345, r346) =STDEV.P(s343, s344, s345, s346) =STDEV.P(t343, t344, t345, t346) +=AVERAGE(a347, a348, a349, a350) =AVERAGE(b347, b348, b349, b350) =AVERAGE(c347, c348, c349, c350) =AVERAGE(d347, d348, d349, d350) =AVERAGE(e347, e348, e349, e350) =AVERAGE(f347, f348, f349, f350) =AVERAGE(g347, g348, g349, g350) =AVERAGE(h347, h348, h349, h350) =AVERAGE(i347, i348, i349, i350) =AVERAGE(j347, j348, j349, j350) =AVERAGE(k347, k348, k349, k350) =AVERAGE(l347, l348, l349, l350) =AVERAGE(m347, m348, m349, m350) =AVERAGE(n347, n348, n349, n350) =AVERAGE(o347, o348, o349, o350) =AVERAGE(p347, p348, p349, p350) =AVERAGE(q347, q348, q349, q350) =AVERAGE(r347, r348, r349, r350) =AVERAGE(s347, s348, s349, s350) =AVERAGE(t347, t348, t349, t350) =STDEV.P(a347, a348, a349, a350) =STDEV.P(b347, b348, b349, b350) =STDEV.P(c347, c348, c349, c350) =STDEV.P(d347, d348, d349, d350) =STDEV.P(e347, e348, e349, e350) =STDEV.P(f347, f348, f349, f350) =STDEV.P(g347, g348, g349, g350) =STDEV.P(h347, h348, h349, h350) =STDEV.P(i347, i348, i349, i350) =STDEV.P(j347, j348, j349, j350) =STDEV.P(k347, k348, k349, k350) =STDEV.P(l347, l348, l349, l350) =STDEV.P(m347, m348, m349, m350) =STDEV.P(n347, n348, n349, n350) =STDEV.P(o347, o348, o349, o350) =STDEV.P(p347, p348, p349, p350) =STDEV.P(q347, q348, q349, q350) =STDEV.P(r347, r348, r349, r350) =STDEV.P(s347, s348, s349, s350) =STDEV.P(t347, t348, t349, t350) +=AVERAGE(a351, a352, a353, a354) =AVERAGE(b351, b352, b353, b354) =AVERAGE(c351, c352, c353, c354) =AVERAGE(d351, d352, d353, d354) =AVERAGE(e351, e352, e353, e354) =AVERAGE(f351, f352, f353, f354) =AVERAGE(g351, g352, g353, g354) =AVERAGE(h351, h352, h353, h354) =AVERAGE(i351, i352, i353, i354) =AVERAGE(j351, j352, j353, j354) =AVERAGE(k351, k352, k353, k354) =AVERAGE(l351, l352, l353, l354) =AVERAGE(m351, m352, m353, m354) =AVERAGE(n351, n352, n353, n354) =AVERAGE(o351, o352, o353, o354) =AVERAGE(p351, p352, p353, p354) =AVERAGE(q351, q352, q353, q354) =AVERAGE(r351, r352, r353, r354) =AVERAGE(s351, s352, s353, s354) =AVERAGE(t351, t352, t353, t354) =STDEV.P(a351, a352, a353, a354) =STDEV.P(b351, b352, b353, b354) =STDEV.P(c351, c352, c353, c354) =STDEV.P(d351, d352, d353, d354) =STDEV.P(e351, e352, e353, e354) =STDEV.P(f351, f352, f353, f354) =STDEV.P(g351, g352, g353, g354) =STDEV.P(h351, h352, h353, h354) =STDEV.P(i351, i352, i353, i354) =STDEV.P(j351, j352, j353, j354) =STDEV.P(k351, k352, k353, k354) =STDEV.P(l351, l352, l353, l354) =STDEV.P(m351, m352, m353, m354) =STDEV.P(n351, n352, n353, n354) =STDEV.P(o351, o352, o353, o354) =STDEV.P(p351, p352, p353, p354) =STDEV.P(q351, q352, q353, q354) =STDEV.P(r351, r352, r353, r354) =STDEV.P(s351, s352, s353, s354) =STDEV.P(t351, t352, t353, t354) +=AVERAGE(a355, a356, a357, a358) =AVERAGE(b355, b356, b357, b358) =AVERAGE(c355, c356, c357, c358) =AVERAGE(d355, d356, d357, d358) =AVERAGE(e355, e356, e357, e358) =AVERAGE(f355, f356, f357, f358) =AVERAGE(g355, g356, g357, g358) =AVERAGE(h355, h356, h357, h358) =AVERAGE(i355, i356, i357, i358) =AVERAGE(j355, j356, j357, j358) =AVERAGE(k355, k356, k357, k358) =AVERAGE(l355, l356, l357, l358) =AVERAGE(m355, m356, m357, m358) =AVERAGE(n355, n356, n357, n358) =AVERAGE(o355, o356, o357, o358) =AVERAGE(p355, p356, p357, p358) =AVERAGE(q355, q356, q357, q358) =AVERAGE(r355, r356, r357, r358) =AVERAGE(s355, s356, s357, s358) =AVERAGE(t355, t356, t357, t358) =STDEV.P(a355, a356, a357, a358) =STDEV.P(b355, b356, b357, b358) =STDEV.P(c355, c356, c357, c358) =STDEV.P(d355, d356, d357, d358) =STDEV.P(e355, e356, e357, e358) =STDEV.P(f355, f356, f357, f358) =STDEV.P(g355, g356, g357, g358) =STDEV.P(h355, h356, h357, h358) =STDEV.P(i355, i356, i357, i358) =STDEV.P(j355, j356, j357, j358) =STDEV.P(k355, k356, k357, k358) =STDEV.P(l355, l356, l357, l358) =STDEV.P(m355, m356, m357, m358) =STDEV.P(n355, n356, n357, n358) =STDEV.P(o355, o356, o357, o358) =STDEV.P(p355, p356, p357, p358) =STDEV.P(q355, q356, q357, q358) =STDEV.P(r355, r356, r357, r358) =STDEV.P(s355, s356, s357, s358) =STDEV.P(t355, t356, t357, t358) +=AVERAGE(a359, a360, a361, a362) =AVERAGE(b359, b360, b361, b362) =AVERAGE(c359, c360, c361, c362) =AVERAGE(d359, d360, d361, d362) =AVERAGE(e359, e360, e361, e362) =AVERAGE(f359, f360, f361, f362) =AVERAGE(g359, g360, g361, g362) =AVERAGE(h359, h360, h361, h362) =AVERAGE(i359, i360, i361, i362) =AVERAGE(j359, j360, j361, j362) =AVERAGE(k359, k360, k361, k362) =AVERAGE(l359, l360, l361, l362) =AVERAGE(m359, m360, m361, m362) =AVERAGE(n359, n360, n361, n362) =AVERAGE(o359, o360, o361, o362) =AVERAGE(p359, p360, p361, p362) =AVERAGE(q359, q360, q361, q362) =AVERAGE(r359, r360, r361, r362) =AVERAGE(s359, s360, s361, s362) =AVERAGE(t359, t360, t361, t362) =STDEV.P(a359, a360, a361, a362) =STDEV.P(b359, b360, b361, b362) =STDEV.P(c359, c360, c361, c362) =STDEV.P(d359, d360, d361, d362) =STDEV.P(e359, e360, e361, e362) =STDEV.P(f359, f360, f361, f362) =STDEV.P(g359, g360, g361, g362) =STDEV.P(h359, h360, h361, h362) =STDEV.P(i359, i360, i361, i362) =STDEV.P(j359, j360, j361, j362) =STDEV.P(k359, k360, k361, k362) =STDEV.P(l359, l360, l361, l362) =STDEV.P(m359, m360, m361, m362) =STDEV.P(n359, n360, n361, n362) =STDEV.P(o359, o360, o361, o362) =STDEV.P(p359, p360, p361, p362) =STDEV.P(q359, q360, q361, q362) =STDEV.P(r359, r360, r361, r362) =STDEV.P(s359, s360, s361, s362) =STDEV.P(t359, t360, t361, t362) +=AVERAGE(a363, a364, a365, a366) =AVERAGE(b363, b364, b365, b366) =AVERAGE(c363, c364, c365, c366) =AVERAGE(d363, d364, d365, d366) =AVERAGE(e363, e364, e365, e366) =AVERAGE(f363, f364, f365, f366) =AVERAGE(g363, g364, g365, g366) =AVERAGE(h363, h364, h365, h366) =AVERAGE(i363, i364, i365, i366) =AVERAGE(j363, j364, j365, j366) =AVERAGE(k363, k364, k365, k366) =AVERAGE(l363, l364, l365, l366) =AVERAGE(m363, m364, m365, m366) =AVERAGE(n363, n364, n365, n366) =AVERAGE(o363, o364, o365, o366) =AVERAGE(p363, p364, p365, p366) =AVERAGE(q363, q364, q365, q366) =AVERAGE(r363, r364, r365, r366) =AVERAGE(s363, s364, s365, s366) =AVERAGE(t363, t364, t365, t366) =STDEV.P(a363, a364, a365, a366) =STDEV.P(b363, b364, b365, b366) =STDEV.P(c363, c364, c365, c366) =STDEV.P(d363, d364, d365, d366) =STDEV.P(e363, e364, e365, e366) =STDEV.P(f363, f364, f365, f366) =STDEV.P(g363, g364, g365, g366) =STDEV.P(h363, h364, h365, h366) =STDEV.P(i363, i364, i365, i366) =STDEV.P(j363, j364, j365, j366) =STDEV.P(k363, k364, k365, k366) =STDEV.P(l363, l364, l365, l366) =STDEV.P(m363, m364, m365, m366) =STDEV.P(n363, n364, n365, n366) =STDEV.P(o363, o364, o365, o366) =STDEV.P(p363, p364, p365, p366) =STDEV.P(q363, q364, q365, q366) =STDEV.P(r363, r364, r365, r366) =STDEV.P(s363, s364, s365, s366) =STDEV.P(t363, t364, t365, t366) +=AVERAGE(a367, a368, a369, a370) =AVERAGE(b367, b368, b369, b370) =AVERAGE(c367, c368, c369, c370) =AVERAGE(d367, d368, d369, d370) =AVERAGE(e367, e368, e369, e370) =AVERAGE(f367, f368, f369, f370) =AVERAGE(g367, g368, g369, g370) =AVERAGE(h367, h368, h369, h370) =AVERAGE(i367, i368, i369, i370) =AVERAGE(j367, j368, j369, j370) =AVERAGE(k367, k368, k369, k370) =AVERAGE(l367, l368, l369, l370) =AVERAGE(m367, m368, m369, m370) =AVERAGE(n367, n368, n369, n370) =AVERAGE(o367, o368, o369, o370) =AVERAGE(p367, p368, p369, p370) =AVERAGE(q367, q368, q369, q370) =AVERAGE(r367, r368, r369, r370) =AVERAGE(s367, s368, s369, s370) =AVERAGE(t367, t368, t369, t370) =STDEV.P(a367, a368, a369, a370) =STDEV.P(b367, b368, b369, b370) =STDEV.P(c367, c368, c369, c370) =STDEV.P(d367, d368, d369, d370) =STDEV.P(e367, e368, e369, e370) =STDEV.P(f367, f368, f369, f370) =STDEV.P(g367, g368, g369, g370) =STDEV.P(h367, h368, h369, h370) =STDEV.P(i367, i368, i369, i370) =STDEV.P(j367, j368, j369, j370) =STDEV.P(k367, k368, k369, k370) =STDEV.P(l367, l368, l369, l370) =STDEV.P(m367, m368, m369, m370) =STDEV.P(n367, n368, n369, n370) =STDEV.P(o367, o368, o369, o370) =STDEV.P(p367, p368, p369, p370) =STDEV.P(q367, q368, q369, q370) =STDEV.P(r367, r368, r369, r370) =STDEV.P(s367, s368, s369, s370) =STDEV.P(t367, t368, t369, t370) +=AVERAGE(a371, a372, a373, a374) =AVERAGE(b371, b372, b373, b374) =AVERAGE(c371, c372, c373, c374) =AVERAGE(d371, d372, d373, d374) =AVERAGE(e371, e372, e373, e374) =AVERAGE(f371, f372, f373, f374) =AVERAGE(g371, g372, g373, g374) =AVERAGE(h371, h372, h373, h374) =AVERAGE(i371, i372, i373, i374) =AVERAGE(j371, j372, j373, j374) =AVERAGE(k371, k372, k373, k374) =AVERAGE(l371, l372, l373, l374) =AVERAGE(m371, m372, m373, m374) =AVERAGE(n371, n372, n373, n374) =AVERAGE(o371, o372, o373, o374) =AVERAGE(p371, p372, p373, p374) =AVERAGE(q371, q372, q373, q374) =AVERAGE(r371, r372, r373, r374) =AVERAGE(s371, s372, s373, s374) =AVERAGE(t371, t372, t373, t374) =STDEV.P(a371, a372, a373, a374) =STDEV.P(b371, b372, b373, b374) =STDEV.P(c371, c372, c373, c374) =STDEV.P(d371, d372, d373, d374) =STDEV.P(e371, e372, e373, e374) =STDEV.P(f371, f372, f373, f374) =STDEV.P(g371, g372, g373, g374) =STDEV.P(h371, h372, h373, h374) =STDEV.P(i371, i372, i373, i374) =STDEV.P(j371, j372, j373, j374) =STDEV.P(k371, k372, k373, k374) =STDEV.P(l371, l372, l373, l374) =STDEV.P(m371, m372, m373, m374) =STDEV.P(n371, n372, n373, n374) =STDEV.P(o371, o372, o373, o374) =STDEV.P(p371, p372, p373, p374) =STDEV.P(q371, q372, q373, q374) =STDEV.P(r371, r372, r373, r374) =STDEV.P(s371, s372, s373, s374) =STDEV.P(t371, t372, t373, t374) +=AVERAGE(a375, a376, a377, a378) =AVERAGE(b375, b376, b377, b378) =AVERAGE(c375, c376, c377, c378) =AVERAGE(d375, d376, d377, d378) =AVERAGE(e375, e376, e377, e378) =AVERAGE(f375, f376, f377, f378) =AVERAGE(g375, g376, g377, g378) =AVERAGE(h375, h376, h377, h378) =AVERAGE(i375, i376, i377, i378) =AVERAGE(j375, j376, j377, j378) =AVERAGE(k375, k376, k377, k378) =AVERAGE(l375, l376, l377, l378) =AVERAGE(m375, m376, m377, m378) =AVERAGE(n375, n376, n377, n378) =AVERAGE(o375, o376, o377, o378) =AVERAGE(p375, p376, p377, p378) =AVERAGE(q375, q376, q377, q378) =AVERAGE(r375, r376, r377, r378) =AVERAGE(s375, s376, s377, s378) =AVERAGE(t375, t376, t377, t378) =STDEV.P(a375, a376, a377, a378) =STDEV.P(b375, b376, b377, b378) =STDEV.P(c375, c376, c377, c378) =STDEV.P(d375, d376, d377, d378) =STDEV.P(e375, e376, e377, e378) =STDEV.P(f375, f376, f377, f378) =STDEV.P(g375, g376, g377, g378) =STDEV.P(h375, h376, h377, h378) =STDEV.P(i375, i376, i377, i378) =STDEV.P(j375, j376, j377, j378) =STDEV.P(k375, k376, k377, k378) =STDEV.P(l375, l376, l377, l378) =STDEV.P(m375, m376, m377, m378) =STDEV.P(n375, n376, n377, n378) =STDEV.P(o375, o376, o377, o378) =STDEV.P(p375, p376, p377, p378) =STDEV.P(q375, q376, q377, q378) =STDEV.P(r375, r376, r377, r378) =STDEV.P(s375, s376, s377, s378) =STDEV.P(t375, t376, t377, t378) +=AVERAGE(a379, a380, a381, a382) =AVERAGE(b379, b380, b381, b382) =AVERAGE(c379, c380, c381, c382) =AVERAGE(d379, d380, d381, d382) =AVERAGE(e379, e380, e381, e382) =AVERAGE(f379, f380, f381, f382) =AVERAGE(g379, g380, g381, g382) =AVERAGE(h379, h380, h381, h382) =AVERAGE(i379, i380, i381, i382) =AVERAGE(j379, j380, j381, j382) =AVERAGE(k379, k380, k381, k382) =AVERAGE(l379, l380, l381, l382) =AVERAGE(m379, m380, m381, m382) =AVERAGE(n379, n380, n381, n382) =AVERAGE(o379, o380, o381, o382) =AVERAGE(p379, p380, p381, p382) =AVERAGE(q379, q380, q381, q382) =AVERAGE(r379, r380, r381, r382) =AVERAGE(s379, s380, s381, s382) =AVERAGE(t379, t380, t381, t382) =STDEV.P(a379, a380, a381, a382) =STDEV.P(b379, b380, b381, b382) =STDEV.P(c379, c380, c381, c382) =STDEV.P(d379, d380, d381, d382) =STDEV.P(e379, e380, e381, e382) =STDEV.P(f379, f380, f381, f382) =STDEV.P(g379, g380, g381, g382) =STDEV.P(h379, h380, h381, h382) =STDEV.P(i379, i380, i381, i382) =STDEV.P(j379, j380, j381, j382) =STDEV.P(k379, k380, k381, k382) =STDEV.P(l379, l380, l381, l382) =STDEV.P(m379, m380, m381, m382) =STDEV.P(n379, n380, n381, n382) =STDEV.P(o379, o380, o381, o382) =STDEV.P(p379, p380, p381, p382) =STDEV.P(q379, q380, q381, q382) =STDEV.P(r379, r380, r381, r382) =STDEV.P(s379, s380, s381, s382) =STDEV.P(t379, t380, t381, t382) +=AVERAGE(a383, a384, a385, a386) =AVERAGE(b383, b384, b385, b386) =AVERAGE(c383, c384, c385, c386) =AVERAGE(d383, d384, d385, d386) =AVERAGE(e383, e384, e385, e386) =AVERAGE(f383, f384, f385, f386) =AVERAGE(g383, g384, g385, g386) =AVERAGE(h383, h384, h385, h386) =AVERAGE(i383, i384, i385, i386) =AVERAGE(j383, j384, j385, j386) =AVERAGE(k383, k384, k385, k386) =AVERAGE(l383, l384, l385, l386) =AVERAGE(m383, m384, m385, m386) =AVERAGE(n383, n384, n385, n386) =AVERAGE(o383, o384, o385, o386) =AVERAGE(p383, p384, p385, p386) =AVERAGE(q383, q384, q385, q386) =AVERAGE(r383, r384, r385, r386) =AVERAGE(s383, s384, s385, s386) =AVERAGE(t383, t384, t385, t386) =STDEV.P(a383, a384, a385, a386) =STDEV.P(b383, b384, b385, b386) =STDEV.P(c383, c384, c385, c386) =STDEV.P(d383, d384, d385, d386) =STDEV.P(e383, e384, e385, e386) =STDEV.P(f383, f384, f385, f386) =STDEV.P(g383, g384, g385, g386) =STDEV.P(h383, h384, h385, h386) =STDEV.P(i383, i384, i385, i386) =STDEV.P(j383, j384, j385, j386) =STDEV.P(k383, k384, k385, k386) =STDEV.P(l383, l384, l385, l386) =STDEV.P(m383, m384, m385, m386) =STDEV.P(n383, n384, n385, n386) =STDEV.P(o383, o384, o385, o386) =STDEV.P(p383, p384, p385, p386) =STDEV.P(q383, q384, q385, q386) =STDEV.P(r383, r384, r385, r386) =STDEV.P(s383, s384, s385, s386) =STDEV.P(t383, t384, t385, t386) +=AVERAGE(a387, a388, a389, a390) =AVERAGE(b387, b388, b389, b390) =AVERAGE(c387, c388, c389, c390) =AVERAGE(d387, d388, d389, d390) =AVERAGE(e387, e388, e389, e390) =AVERAGE(f387, f388, f389, f390) =AVERAGE(g387, g388, g389, g390) =AVERAGE(h387, h388, h389, h390) =AVERAGE(i387, i388, i389, i390) =AVERAGE(j387, j388, j389, j390) =AVERAGE(k387, k388, k389, k390) =AVERAGE(l387, l388, l389, l390) =AVERAGE(m387, m388, m389, m390) =AVERAGE(n387, n388, n389, n390) =AVERAGE(o387, o388, o389, o390) =AVERAGE(p387, p388, p389, p390) =AVERAGE(q387, q388, q389, q390) =AVERAGE(r387, r388, r389, r390) =AVERAGE(s387, s388, s389, s390) =AVERAGE(t387, t388, t389, t390) =STDEV.P(a387, a388, a389, a390) =STDEV.P(b387, b388, b389, b390) =STDEV.P(c387, c388, c389, c390) =STDEV.P(d387, d388, d389, d390) =STDEV.P(e387, e388, e389, e390) =STDEV.P(f387, f388, f389, f390) =STDEV.P(g387, g388, g389, g390) =STDEV.P(h387, h388, h389, h390) =STDEV.P(i387, i388, i389, i390) =STDEV.P(j387, j388, j389, j390) =STDEV.P(k387, k388, k389, k390) =STDEV.P(l387, l388, l389, l390) =STDEV.P(m387, m388, m389, m390) =STDEV.P(n387, n388, n389, n390) =STDEV.P(o387, o388, o389, o390) =STDEV.P(p387, p388, p389, p390) =STDEV.P(q387, q388, q389, q390) =STDEV.P(r387, r388, r389, r390) =STDEV.P(s387, s388, s389, s390) =STDEV.P(t387, t388, t389, t390) +=AVERAGE(a391, a392, a393, a394) =AVERAGE(b391, b392, b393, b394) =AVERAGE(c391, c392, c393, c394) =AVERAGE(d391, d392, d393, d394) =AVERAGE(e391, e392, e393, e394) =AVERAGE(f391, f392, f393, f394) =AVERAGE(g391, g392, g393, g394) =AVERAGE(h391, h392, h393, h394) =AVERAGE(i391, i392, i393, i394) =AVERAGE(j391, j392, j393, j394) =AVERAGE(k391, k392, k393, k394) =AVERAGE(l391, l392, l393, l394) =AVERAGE(m391, m392, m393, m394) =AVERAGE(n391, n392, n393, n394) =AVERAGE(o391, o392, o393, o394) =AVERAGE(p391, p392, p393, p394) =AVERAGE(q391, q392, q393, q394) =AVERAGE(r391, r392, r393, r394) =AVERAGE(s391, s392, s393, s394) =AVERAGE(t391, t392, t393, t394) =STDEV.P(a391, a392, a393, a394) =STDEV.P(b391, b392, b393, b394) =STDEV.P(c391, c392, c393, c394) =STDEV.P(d391, d392, d393, d394) =STDEV.P(e391, e392, e393, e394) =STDEV.P(f391, f392, f393, f394) =STDEV.P(g391, g392, g393, g394) =STDEV.P(h391, h392, h393, h394) =STDEV.P(i391, i392, i393, i394) =STDEV.P(j391, j392, j393, j394) =STDEV.P(k391, k392, k393, k394) =STDEV.P(l391, l392, l393, l394) =STDEV.P(m391, m392, m393, m394) =STDEV.P(n391, n392, n393, n394) =STDEV.P(o391, o392, o393, o394) =STDEV.P(p391, p392, p393, p394) =STDEV.P(q391, q392, q393, q394) =STDEV.P(r391, r392, r393, r394) =STDEV.P(s391, s392, s393, s394) =STDEV.P(t391, t392, t393, t394) + +0 0 0 0.0001 0 13.033 3.655 20 4 5 3 0 0.0001 0 13.033 3.655 20 4 5 3 +0 0 0 0.0001 0 13.015 3.685 14 5 29 5 0 0.0001 0 13.015 3.685 14 5 29 5 +0 0 0 0.0001 0 13.284 3.697 13 4 9 5 0 0.0001 0 13.284 3.697 13 4 9 5 +0 0 0 0.0001 0 13.054 3.656 9 4 18 5 0 0.0001 0 13.054 3.656 9 4 18 5 +0 0 0 0.0001 0 12.932 3.628 31 5 31 6 0 0.0001 0 12.932 3.628 31 5 31 6 +0 0 0 0.0001 0 13.166 3.68 30 5 7 5 0 0.0001 0 13.166 3.68 30 5 7 5 +0 0 0 0.0001 0 12.899 3.664 15 4 12 5 0 0.0001 0 12.899 3.664 15 4 12 5 +0 0 0 0.0001 0 13.005 3.668 19 4 18 6 0 0.0001 0 13.005 3.668 19 4 18 6 +0 0 0 0.0001 0 13.51 3.726 26 4 54 6 0 0.0001 0 13.51 3.726 26 4 54 6 +0 0 0 0.0001 0 13.173 3.666 25 5 20 6 0 0.0001 0 13.173 3.666 25 5 20 6 +1 0 0 0.0001 0 13.2 4.12 13 3 6 4 0 0.0001 0 13.117 3.888 13 3 5 3 +1 0 0 0.0001 0 13.157 4.159 39 6 36 7 0 0.0001 0 13.086 3.922 39 6 29 5 +1 0 0 0.0001 0 13.343 4.151 13 4 18 6 0 0.0001 0 13.314 3.924 13 4 9 5 +1 0 0 0.0001 0 13.196 4.125 9 4 11 4 0 0.0001 0 13.125 3.891 9 4 18 5 +1 0 0 0.0001 0 12.883 4.077 31 5 26 6 0 0.0001 0 12.907 3.853 31 5 31 6 +1 0 0 0.0001 0 13.182 4.126 16 5 6 5 0 0.0001 0 13.174 3.903 16 5 7 5 +1 0 0 0.0001 0 13.253 4.177 15 4 31 8 0 0.0001 0 13.076 3.921 15 4 12 5 +1 0 0 0.0001 0 13.041 4.098 11 3 30 6 0 0.0001 0 13.023 3.883 11 3 18 6 +1 0 0 0.0001 0 13.64 4.206 26 4 8 4 0 0.0001 0 13.575 3.966 26 4 54 6 +1 0 0 0.0001 0 12.93 4.084 12 4 28 8 0 0.0001 0 13.051 3.875 12 4 20 6 +2 0 0 0.0001 0 13.981 4.505 14 5 10 5 0 0.0001 0 13.405 4.093 14 5 5 3 +2 0 0 0.0001 0 13.788 4.498 38 6 21 5 0 0.0001 0 13.32 4.114 38 6 29 5 +2 0 0 0.0001 0 13.954 4.489 13 4 56 13 0 0.0001 0 13.527 4.112 13 4 9 5 +2 0 0 0.0001 0 13.971 4.477 15 4 10 4 0 0.0001 0 13.407 4.086 15 4 18 5 +2 0 0 0.0002 0 13.536 4.386 25 5 21 8 0 0.0002 0 13.117 4.031 25 5 31 6 +2 0 0 0.0001 0 13.924 4.472 15 3 11 4 0 0.0001 0 13.424 4.093 15 3 7 5 +2 0 0 0.0001 0 13.9 4.519 15 4 25 6 0 0.0001 0 13.351 4.12 15 4 12 5 +2 0 0 0.0001 0 13.683 4.415 11 3 5 3 0 0.0001 0 13.243 4.06 11 3 18 6 +2 0 0 0.0002 0 14.154 4.571 27 4 5 4 0 0.0002 0 13.768 4.168 27 4 5 4 +2 0 0 0.0002 0 13.725 4.446 19 5 44 9 0 0.0002 0 13.276 4.065 19 5 20 6 +3 0 0 0.0001 0 14.893 4.86 15 5 19 10 0 0.0001 0 13.777 4.285 15 5 5 3 +3 0 0 0.0001 0 14.349 4.8 38 6 20 8 0 0.0001 0 13.577 4.286 38 6 29 5 +3 0 0 0.0001 0 14.738 4.775 15 5 18 5 0 0.0001 0 13.83 4.278 15 5 9 5 +3 0 0 0.0001 0 14.311 4.709 15 4 16 5 0 0.0001 0 13.633 4.242 15 4 18 5 +3 0 0 0.0002 0 13.886 4.641 25 5 6 4 0 0.0002 0 13.309 4.183 25 5 31 6 +3 0 0 0.0002 0 14.544 4.762 32 5 30 9 0 0.0002 0 13.704 4.26 32 5 7 5 +3 0 0 0.0002 0 14.929 4.854 23 6 26 7 0 0.0002 0 13.745 4.303 23 6 12 5 +3 0 0 0.0001 0 14.553 4.754 11 3 15 6 0 0.0001 0 13.57 4.234 11 3 18 6 +3 0 0 0.0003 0 14.774 4.857 22 4 17 7 0 0.0003 0 14.019 4.34 22 4 5 4 +3 0 0 0.0002 0 14.343 4.74 19 5 24 7 0 0.0002 0 13.543 4.234 19 5 20 6 +4 0 0 0.0001 0 15.178 5.006 10 3 9 4 0 0.0001 0 14.057 4.429 10 3 5 3 +4 0 0 0.0001 0 14.924 5.048 31 6 7 5 0 0.0001 0 13.847 4.438 31 6 29 5 +4 0 0 0.0001 0 15.104 4.99 15 5 10 4 0 0.0001 0 14.085 4.42 15 5 9 5 +4 0 0 0.0001 0 14.778 4.931 15 4 38 8 0 0.0001 0 13.862 4.379 15 4 18 5 +4 0 0 0.0002 0 14.787 4.954 25 5 11 7 0 0.0002 0 13.605 4.337 25 5 31 6 +4 0 0 0.0002 0 15.316 5.001 32 5 7 5 0 0.0002 0 14.026 4.408 32 5 7 5 +4 0 0 0.0002 0 15.904 5.199 23 6 49 8 0 0.0002 0 14.177 4.483 23 6 12 5 +4 0 0 0.0001 0 15.39 5.062 11 3 24 7 0 0.0001 0 13.934 4.4 11 3 18 6 +4 0 0 0.0003 0 15.516 5.056 22 4 22 6 0 0.0003 0 14.319 4.483 22 4 5 4 +4 0 0 0.0002 0 15.018 4.956 26 7 17 8 0 0.0002 0 13.838 4.378 26 7 20 6 +5 0 0 0.0001 0 15.894 5.254 20 7 10 5 0 0.0001 0 14.363 4.567 20 7 5 3 +5 0 0 0.0001 0 15.743 5.272 28 6 10 5 0 0.0001 0 14.163 4.577 28 6 29 5 +5 0 0 0.0002 0 15.619 5.21 14 4 27 9 0 0.0002 0 14.341 4.552 14 4 27 9 +5 0 0 0.0001 0 15.343 5.164 15 4 6 4 0 0.0001 0 14.109 4.51 15 4 18 5 +5 0 0 0.0002 0 15.79 5.236 96 13 24 8 0 0.0002 0 13.969 4.487 96 13 31 6 +5 0 0 0.0002 0 15.742 5.199 21 5 19 7 0 0.0002 0 14.312 4.54 21 5 7 5 +5 0 0 0.0002 0 16.507 5.361 26 7 8 4 0 0.0002 0 14.565 4.629 26 7 12 5 +5 0 0 0.0001 0 16.002 5.3 11 3 18 7 0 0.0001 0 14.279 4.55 11 3 18 6 +5 0 0 0.0006 0 16.344 5.269 25 7 14 5 0 0.0006 0 14.656 4.614 25 7 5 4 +5 0 0 0.0002 0 15.893 5.224 31 8 9 5 0 0.0002 0 14.18 4.519 31 8 20 6 +6 0 0 0.0001 0 16.372 5.434 15 4 26 7 0 0.0001 0 14.65 4.69 15 4 5 3 +6 0 0 0.0001 0 16.341 5.457 28 6 33 8 0 0.0001 0 14.474 4.703 28 6 29 5 +6 0 0 0.0002 0 15.94 5.338 14 4 29 6 0 0.0002 0 14.569 4.664 14 4 27 9 +6 0 0 0.0001 0 15.95 5.357 17 5 17 8 0 0.0001 0 14.372 4.631 17 5 18 5 +6 0 0 0.0002 0 17.269 5.549 29 8 4 3 0 0.0002 0 14.44 4.639 29 8 31 6 +6 0 0 0.0002 0 16.516 5.423 20 5 77 9 0 0.0002 0 14.627 4.666 20 5 7 5 +6 0 0 0.0002 0 17.019 5.549 26 7 15 5 0 0.0002 0 14.916 4.761 26 7 12 5 +6 0 0 0.0001 0 16.586 5.489 11 3 13 5 0 0.0001 0 14.609 4.684 11 3 18 6 +6 0 0 0.0053 0 17.603 5.546 17 5 25 6 0 0.0053 0 15.077 4.747 17 5 5 4 +6 0 0 0.0003 0 16.829 5.492 26 9 38 15 0 0.0003 0 14.559 4.658 26 9 20 6 +7 0 0.0001 0.0001 0 17.162 5.598 9 4 7 5 0 0.0001 0 14.964 4.804 9 4 5 3 +7 0 0 0.0002 0 17.288 5.697 35 6 18 8 0 0.0002 0 14.826 4.827 35 6 29 5 +7 0 0 0.0002 0 16.938 5.593 21 5 6 4 0 0.0002 0 14.865 4.78 21 5 27 9 +7 0 0 0.0001 0 16.375 5.532 17 5 5 3 0 0.0001 0 14.622 4.744 17 5 18 5 +7 0 0 0.0002 0 19.248 5.938 28 7 8 5 0 0.0002 0 15.041 4.801 28 7 31 6 +7 0 0 0.0008 0 17.667 5.719 15 4 8 4 0 0.0008 0 15.007 4.798 15 4 7 5 +7 0 0 0.0004 0 17.763 5.689 42 13 25 7 0 0.0004 0 15.272 4.877 42 13 12 5 +7 0 0 0.0001 0 17.266 5.661 34 9 17 10 0 0.0001 0 14.941 4.806 34 9 18 6 +7 0 0.0001 0.0178 0 18.823 5.781 18 6 37 7 0 0.0178 0 15.545 4.877 18 6 5 4 +7 0 0 0.0003 0 17.781 5.735 22 6 12 7 0 0.0003 0 14.961 4.793 22 6 20 6 +8 0 0.0001 0.0002 0 18.195 5.85 16 5 38 8 0 0.0002 0 15.323 4.92 16 5 5 3 +8 0 0 0.0002 0 18.073 5.896 46 10 15 4 0 0.0002 0 15.186 4.946 46 10 29 5 +8 0 0 0.0003 0 18.016 5.818 37 6 23 6 0 0.0003 0 15.215 4.896 37 6 27 9 +8 0 0 0.0002 0 17.091 5.756 13 4 11 8 0 0.0002 0 14.896 4.856 13 4 18 5 +8 0 0.0001 0.0003 0 22.829 6.454 62 9 36 8 0 0.0003 0 15.907 4.985 62 9 31 6 +8 0 0 0.0008 0 18.659 5.862 15 4 29 8 0 0.0008 0 15.413 4.916 15 4 7 5 +8 0 0 0.0005 0 19.037 6.004 38 10 17 5 0 0.0005 0 15.69 5.002 38 10 12 5 +8 0 0 0.0002 0 17.491 5.704 19 7 30 8 0 0.0002 0 15.224 4.906 19 7 18 6 +8 0 0.0002 0.0178 0 21.409 6.205 19 7 20 4 0.0001 0.0178 0 16.197 5.024 19 7 5 4 +8 0 0 0.0005 0 19.461 6.082 15 5 14 5 0 0.0005 0 15.461 4.936 15 5 20 6 +9 0 0.0001 0.0002 0 18.803 6.003 16 5 6 3 0 0.0002 0 15.671 5.028 16 5 5 3 +9 0 0 0.0003 0 19.147 6.12 57 7 31 11 0 0.0003 0 15.582 5.063 57 7 29 5 +9 0 0 0.0006 0 19.821 6.141 35 7 13 5 0 0.0006 0 15.676 5.02 35 7 27 9 +9 0 0 0.0002 0 17.315 5.822 13 4 9 4 0 0.0002 0 15.138 4.953 13 4 18 5 +9 0 0.0001 0.0003 0 27.521 7.115 73 12 12 6 0 0.0003 0 17.068 5.198 73 12 31 6 +9 0 0.0001 0.0008 0 20.961 6.259 15 4 5 3 0 0.0008 0 15.968 5.05 15 4 7 5 +9 0 0 0.0007 0 21.225 6.428 25 8 12 4 0 0.0007 0 16.244 5.145 25 8 12 5 +9 0 0 0.0002 0 18.032 5.871 16 5 38 11 0 0.0002 0 15.505 5.002 16 5 18 6 +9 0 0.0007 0.0217 0 23.04 6.442 23 9 23 8 0.0001 0.0217 0 16.881 5.166 23 9 5 4 +9 0 0.0001 0.0006 0 22.515 6.724 25 6 24 10 0 0.0006 0 16.167 5.115 25 6 20 6 +10 0 0.0001 0.0002 0 18.88 6.059 16 5 14 7 0 0.0002 0 15.963 5.122 16 5 5 3 +10 0 0 0.0003 0 20.173 6.322 45 10 28 7 0 0.0003 0 16 5.178 45 10 29 5 +10 0 0.0001 0.0007 0 23.712 6.677 50 10 9 4 0 0.0007 0 16.406 5.171 50 10 27 9 +10 0 0 0.0002 0 17.747 5.949 13 4 27 7 0 0.0002 0 15.375 5.043 13 4 18 5 +10 0 0.0001 0.0013 0 33.756 7.95 30 6 25 9 0 0.0013 0 18.585 5.448 30 6 31 6 +10 0 0.0001 0.0008 0 23.922 6.733 15 4 41 9 0 0.0008 0 16.691 5.203 15 4 7 5 +10 0 0.0001 0.0011 0 25.424 7.345 34 9 54 17 0 0.0011 0 17.078 5.345 34 9 12 5 +10 0 0 0.0006 0 18.765 6.015 18 6 26 8 0 0.0006 0 15.801 5.094 18 6 18 6 +10 0 0.0013 0.1043 0 25.311 6.933 38 10 19 7 0.0002 0.1043 0 17.647 5.327 38 10 5 4 +10 0 0.0001 0.0007 0 26.171 7.375 35 7 16 6 0 0.0007 0 17.076 5.32 35 7 20 6 +11 0 0.0001 0.0002 0 19.63 6.272 10 3 8 5 0.0001 0.0002 0 16.268 5.218 10 3 5 3 +11 0 0 0.0003 0 21.627 6.554 47 7 12 4 0 0.0003 0 16.469 5.292 47 7 29 5 +11 0 0.0001 0.0018 0 29.367 7.419 31 6 25 7 0 0.0018 0 17.486 5.358 31 6 27 9 +11 0 0 0.0002 0 18.169 6.065 13 4 32 13 0 0.0002 0 15.608 5.128 13 4 18 5 +11 0 0.0001 0.0013 0 40.44 8.811 30 6 64 11 0.0001 0.0013 0 20.406 5.728 30 6 31 6 +11 0 0.0001 0.0008 0 27.648 7.35 44 10 32 9 0 0.0008 0 17.604 5.382 44 10 7 5 +11 0 0.0001 0.0018 0 31.684 8.57 29 8 24 11 0 0.0018 0 18.295 5.613 29 8 12 5 +11 0 0 0.0006 0 19.408 6.19 18 6 9 5 0 0.0006 0 16.102 5.186 18 6 18 6 +11 0 0.0026 0.2478 0 30.058 8.014 36 10 46 13 0.0004 0.2478 0 18.682 5.55 36 10 5 4 +11 0 0.0001 0.0023 0 29.812 8.053 25 5 57 12 0 0.0023 0 18.137 5.548 25 5 20 6 +12 0 0.0001 0.0003 0 21.231 6.574 33 10 24 11 0.0001 0.0003 0 16.65 5.322 33 10 5 3 +12 0 0.0001 0.0003 0 23.327 6.785 47 7 45 16 0 0.0003 0 16.996 5.407 47 7 29 5 +12 0 0.0001 0.0024 0 36.283 8.244 46 8 63 14 0 0.0024 0 18.932 5.58 46 8 27 9 +12 0 0 0.0002 0 18.877 6.182 13 4 47 12 0 0.0002 0 15.86 5.21 13 4 18 5 +12 0 0.0001 0.0015 0 46.852 9.619 38 9 60 10 0.0001 0.0015 0 22.441 6.028 38 9 31 6 +12 0 0.0001 0.001 0 32.62 8.16 50 13 62 13 0.0001 0.001 0 18.759 5.596 50 13 7 5 +12 0 0.0002 0.002 0 37.32 9.668 26 7 54 15 0.0001 0.002 0 19.759 5.925 26 7 12 5 +12 0 0 0.0006 0 20.246 6.415 18 6 41 9 0 0.0006 0 16.421 5.28 18 6 18 6 +12 0 0.0076 0.2871 0 36.244 9.581 41 11 29 9 0.001 0.2871 0 20.033 5.861 41 11 5 4 +12 0 0.0001 0.0026 0 33.424 8.632 22 5 29 7 0.0001 0.0026 0 19.313 5.785 22 5 20 6 +13 0 0.0001 0.0003 0 23.295 6.98 28 7 6 3 0.0001 0.0003 0 17.125 5.441 28 7 5 3 +13 0 0.0001 0.0003 0 26.364 7.274 47 7 25 10 0 0.0003 0 17.665 5.541 47 7 29 5 +13 0 0.0002 0.0103 0 41.101 8.743 24 6 67 9 0.0001 0.0103 0 20.516 5.806 24 6 27 9 +13 0 0 0.0002 0 19.517 6.319 53 12 18 7 0 0.0002 0 16.121 5.289 53 12 18 5 +13 0 0.0002 0.0019 0 50.837 10.063 29 6 57 10 0.0001 0.0019 0 24.469 6.316 29 6 31 6 +13 0 0.0002 0.001 0 37.058 9.024 37 9 29 9 0.0001 0.001 0 20.066 5.841 37 9 7 5 +13 0 0.0002 0.0025 0 40.934 10.327 35 9 75 17 0.0001 0.0025 0 21.271 6.24 35 9 12 5 +13 0 0 0.0007 0 21.254 6.656 47 13 8 6 0 0.0007 0 16.766 5.378 47 13 18 6 +13 0 0.0229 0.3882 0 40.215 10.609 35 9 44 11 0.0025 0.3882 0 21.474 6.2 35 9 5 4 +13 0 0.0002 0.0036 0 37.391 9.231 34 7 65 17 0.0001 0.0036 0 20.605 6.031 34 7 20 6 +14 0 0.0001 0.0003 0 25.822 7.41 28 7 16 8 0.0001 0.0003 0 17.705 5.572 28 7 5 3 +14 0 0.0001 0.0004 0 29.935 7.759 48 8 34 10 0 0.0004 0 18.483 5.688 48 8 29 5 +14 0 0.0009 1 0 44.56 9.056 17 6 89 12 0.0001 1 0 22.119 6.023 17 6 27 9 +14 0 0 0.0002 0 20.549 6.563 21 6 30 16 0 0.0002 0 16.416 5.374 21 6 18 5 +14 0 0.0003 0.006 0 50.138 9.878 30 8 27 5 0.0001 0.006 0 26.18 6.553 30 8 31 6 +14 0 0.0002 0.0014 0 42.077 9.976 35 8 79 12 0.0001 0.0014 0 21.533 6.116 35 8 7 5 +14 0 0.0003 0.0035 0 42.533 10.546 46 11 78 17 0.0001 0.0035 0 22.689 6.527 46 11 12 5 +14 0 0 0.001 0 22.642 7.016 49 15 26 6 0 0.001 0 17.158 5.488 49 15 18 6 +14 0 0.0451 0.4843 0 43.129 11.115 52 12 22 6 0.0054 0.4843 0 22.918 6.527 52 12 5 4 +14 0 0.0003 0.0477 0 40.962 9.81 23 5 80 17 0.0001 0.0477 0 21.962 6.283 23 5 20 6 +15 0 0.0001 0.0003 0 28.909 7.959 28 7 31 14 0.0001 0.0003 0 18.405 5.721 28 7 5 3 +15 0 0.0001 0.0005 0 34.957 8.456 55 8 131 16 0 0.0005 0 19.513 5.861 55 8 29 5 +15 0 0 0.0002 0 21.867 6.818 21 6 9 6 0 0.0002 0 16.757 5.464 21 6 18 5 +15 0 0.0005 0.006 0 47.118 9.434 30 8 33 8 0.0001 0.006 0 27.489 6.733 30 8 31 6 +15 0 0.0003 0.0014 0 46.124 10.754 35 8 61 13 0.0001 0.0014 0 23.07 6.406 35 8 7 5 +15 0 0.0003 0.0048 0 44.298 10.866 32 9 20 6 0.0001 0.0048 0 24.039 6.798 32 9 12 5 +15 0 0.0001 0.0028 0 25.059 7.733 50 13 27 12 0 0.0028 0 17.651 5.628 50 13 18 6 +15 0 0.0667 0.6535 0 45.336 11.432 66 15 43 16 0.0092 0.6535 0 24.319 6.834 66 15 5 4 +15 0 0.0006 0.0477 0 43.616 10.028 23 5 33 8 0.0001 0.0477 0 23.315 6.517 23 5 20 6 +16 0 0.0001 0.0005 0 31.407 8.37 17 7 38 12 0.0001 0.0005 0 19.17 5.877 17 7 5 3 +16 0 0.0001 0.0005 0 40.476 9.29 55 8 40 12 0.0001 0.0005 0 20.746 6.063 55 8 29 5 +16 0 0 0.0002 0 23.936 7.176 21 6 22 6 0 0.0002 0 17.179 5.565 21 6 18 5 +16 0 0.0007 0.0084 0 46.163 9.311 23 5 54 11 0.0001 0.0084 0 28.587 6.885 23 5 31 6 +16 0 0.0003 0.0014 0 49.408 11.361 35 8 63 14 0.0001 0.0014 0 24.62 6.698 35 8 7 5 +16 0 0.0004 0.0055 0 46.523 11.243 39 11 64 17 0.0001 0.0055 0 25.362 7.059 39 11 12 5 +16 0 0.0001 0.0028 0 30.427 9.192 52 13 21 7 0 0.0028 0 18.403 5.838 52 13 18 6 +16 0 0.0009 0.0477 0 42.544 9.541 23 5 27 7 0.0002 0.0477 0 24.446 6.695 23 5 20 6 +17 0 0.0001 0.0005 0 33.619 8.743 17 7 16 5 0.0001 0.0005 0 19.973 6.036 17 7 5 3 +17 0 0.0001 0.0005 0 46.109 10.152 55 8 42 10 0.0001 0.0005 0 22.155 6.29 55 8 29 5 +17 0 0 0.0002 0 26.557 7.585 47 7 30 13 0 0.0002 0 17.7 5.677 47 7 18 5 +17 0 0.0009 0.0084 0 47.482 9.508 23 5 64 10 0.0002 0.0084 0 29.637 7.031 23 5 31 6 +17 0 0.0004 0.0015 0 51.892 11.772 40 9 31 8 0.0001 0.0015 0 26.135 6.98 40 9 7 5 +17 0 0.0005 0.0069 0 47.75 11.439 30 9 34 7 0.0001 0.0069 0 26.606 7.303 30 9 12 5 +17 0 0.0003 0.003 0 37.585 10.979 51 13 48 15 0.0001 0.003 0 19.469 6.123 51 13 18 6 +17 0 0.0018 0.2968 0 38.789 8.628 21 5 56 13 0.0003 0.2968 0 25.243 6.803 21 5 20 6 +18 0 0.0001 0.0005 0 35.489 9.006 17 7 46 13 0.0001 0.0005 0 20.789 6.193 17 7 5 3 +18 0 0.0001 0.0005 0 50.048 10.763 55 8 103 17 0.0001 0.0005 0 23.623 6.526 55 8 29 5 +18 0 0.0001 0.0004 0 29.575 8.096 45 9 15 5 0 0.0004 0 18.325 5.804 45 9 18 5 +18 0 0.0011 0.0095 0 49.019 9.772 29 7 38 8 0.0002 0.0095 0 30.657 7.175 29 7 31 6 +18 0 0.0004 0.0015 0 54.548 12.12 42 10 51 13 0.0001 0.0015 0 27.63 7.25 42 10 7 5 +18 0 0.0006 0.0069 0 49.538 11.769 30 9 105 16 0.0002 0.0069 0 27.813 7.538 30 9 12 5 +18 0 0.0004 0.0076 0 42.687 11.94 54 13 6 4 0.0001 0.0076 0 20.691 6.429 54 13 18 6 +18 0 0.0182 0.9088 0 36.391 8.558 66 16 27 8 0.0012 0.9088 0 25.83 6.895 66 16 20 6 +19 0 0.0001 0.0005 0 37.211 9.214 17 7 97 15 0.0001 0.0005 0 21.61 6.344 17 7 5 3 +19 0 0.0001 0.0005 0 52.778 11.222 55 8 64 12 0.0001 0.0005 0 25.081 6.761 55 8 29 5 +19 0 0.0001 0.0004 0 33.296 8.609 45 9 30 8 0 0.0004 0 19.074 5.944 45 9 18 5 +19 0 0.0017 0.0095 0 50.603 10.057 29 7 109 16 0.0003 0.0095 0 31.654 7.319 29 7 31 6 +19 0 0.0004 0.0017 0 56.477 12.333 46 10 21 7 0.0001 0.0017 0 29.072 7.504 46 10 7 5 +19 0 0.0007 0.0134 0 50.646 11.853 45 11 60 14 0.0002 0.0134 0 28.954 7.754 45 11 12 5 +19 0 0.0006 0.0086 0 46.991 12.298 52 13 51 13 0.0001 0.0086 0 22.006 6.723 52 13 18 6 +20 0 0.0001 0.0005 0 38.997 9.466 17 7 54 16 0.0001 0.0005 0 22.438 6.492 17 7 5 3 +20 0 0.0001 0.0005 0 55.249 11.565 55 8 56 9 0.0001 0.0005 0 26.518 6.989 55 8 29 5 +20 0 0.0001 0.0006 0 37.157 9.142 47 10 114 15 0 0.0006 0 19.935 6.097 47 10 18 5 +20 0 0.0024 0.0121 0 51.379 10.28 22 5 32 9 0.0004 0.0121 0 32.594 7.46 22 5 31 6 +20 0 0.0004 0.003 0 58.125 12.485 54 12 34 9 0.0002 0.003 0 30.456 7.741 54 12 7 5 +20 0 0.0009 0.0134 0 52.203 11.965 45 11 66 15 0.0002 0.0134 0 30.061 7.954 45 11 12 5 +20 0 0.0008 0.0092 0 51.815 12.629 45 13 58 16 0.0001 0.0092 0 23.425 7.004 45 13 18 6 +21 0 0.0001 0.0005 0 40.451 9.605 17 7 14 5 0.0001 0.0005 0 23.257 6.634 17 7 5 3 +21 0 0.0001 0.0005 0 57.669 11.899 55 8 59 10 0.0001 0.0005 0 27.934 7.213 55 8 29 5 +21 0 0.0001 0.0007 0 41.347 9.714 46 10 74 14 0 0.0007 0 20.908 6.261 46 10 18 5 +21 0 0.0028 0.0121 0 53.066 10.582 22 5 60 11 0.0005 0.0121 0 33.524 7.602 22 5 31 6 +21 0 0.0005 0.0033 0 59.882 12.682 72 17 52 10 0.0002 0.0033 0 31.793 7.966 72 17 7 5 +21 0 0.0013 0.0298 0 54.317 12.165 56 14 42 11 0.0003 0.0298 0 31.164 8.146 56 14 12 5 +21 0 0.001 0.0098 0 56.303 12.816 25 5 40 17 0.0002 0.0098 0 24.92 7.268 25 5 18 6 +22 0 0.0001 0.0006 0 42.308 9.847 25 8 44 9 0.0001 0.0006 0 24.085 6.773 25 8 5 3 +22 0 0.0002 0.0006 0 59.899 12.19 118 14 84 13 0.0001 0.0006 0 29.323 7.429 118 14 29 5 +22 0 0.0001 0.0007 0 44.325 9.964 61 15 99 17 0 0.0007 0 21.926 6.422 61 15 18 5 +22 0 0.0032 0.0121 0 55.852 10.975 22 5 33 7 0.0006 0.0121 0 34.495 7.749 22 5 31 6 +22 0 0.0005 0.0033 0 61.326 12.807 72 17 57 11 0.0002 0.0033 0 33.077 8.176 72 17 7 5 +22 0 0.0021 0.2453 0 56.163 12.368 42 9 12 5 0.0004 0.2453 0 32.251 8.329 42 9 12 5 +22 0 0.0013 0.0116 0 59.435 12.89 90 15 56 16 0.0002 0.0116 0 26.42 7.513 90 15 18 6 +23 0 0.0001 0.0012 0 42.972 9.967 54 10 30 11 0.0001 0.0012 0 24.872 6.907 54 10 5 3 +23 0 0.0002 0.0006 0 62.449 12.414 118 14 23 9 0.0001 0.0006 0 30.704 7.637 118 14 29 5 +23 0 0.0001 0.0009 0 48.118 10.384 34 8 60 9 0 0.0009 0 23.017 6.587 34 8 18 5 +23 0 0.0034 0.0151 0 58.335 11.322 63 12 22 6 0.0008 0.0151 0 35.488 7.898 63 12 31 6 +23 0 0.0005 0.0037 0 62.593 12.955 74 17 51 12 0.0002 0.0037 0 34.307 8.376 74 17 7 5 +23 0 0.0042 0.8797 0 56.695 12.336 44 9 88 16 0.0005 0.8797 0 33.269 8.496 44 9 12 5 +23 0 0.0015 0.0123 0 60.791 12.882 46 13 71 16 0.0003 0.0123 0 27.852 7.736 46 13 18 6 +24 0 0.0001 0.0012 0 43.877 10.052 64 14 19 8 0.0001 0.0012 0 25.632 7.032 64 14 5 3 +24 0 0.0002 0.0006 0 64.437 12.575 118 14 75 13 0.0001 0.0006 0 32.053 7.834 118 14 29 5 +24 0 0.0001 0.0009 0 52.678 10.817 35 8 53 11 0 0.0009 0 24.204 6.756 35 8 18 5 +24 0 0.0036 0.0151 0 61.25 11.637 63 12 120 15 0.0009 0.0151 0 36.519 8.047 63 12 31 6 +24 0 0.0006 0.0044 0 64.007 13.014 73 17 56 14 0.0002 0.0044 0 35.495 8.561 73 17 7 5 +24 0 0.0019 0.0149 0 63.467 13.079 54 12 85 14 0.0003 0.0149 0 29.277 7.95 54 12 18 6 +25 0 0.0001 0.0021 0 45.139 10.163 39 7 31 10 0.0001 0.0021 0 26.383 7.153 39 7 5 3 +25 0 0.0002 0.0006 0 67.628 12.827 118 14 15 6 0.0001 0.0006 0 33.421 8.026 118 14 29 5 +25 0 0.0001 0.0012 0 56.75 11.234 47 8 42 8 0.0001 0.0012 0 25.456 6.929 47 8 18 5 +25 0 0.0039 0.0151 0 63.783 11.947 63 12 79 17 0.001 0.0151 0 37.567 8.197 63 12 31 6 +25 0 0.0006 0.0053 0 64.913 13.1 77 17 74 14 0.0002 0.0053 0 36.627 8.736 77 17 7 5 +25 0 0.0024 0.0154 0 64.586 13.154 47 12 95 17 0.0004 0.0154 0 30.635 8.15 47 12 18 6 +26 0 0.0002 0.0026 0 46.757 10.299 38 7 95 15 0.0001 0.0026 0 27.137 7.269 38 7 5 3 +26 0 0.0002 0.0006 0 69.617 12.934 101 12 69 15 0.0001 0.0006 0 34.762 8.208 101 12 29 5 +26 0 0.0002 0.0012 0 60.39 11.59 47 8 44 8 0.0001 0.0012 0 26.75 7.101 47 8 18 5 +26 0 0.004 0.0151 0 66.009 12.13 63 12 116 17 0.0011 0.0151 0 38.621 8.343 63 12 31 6 +26 0 0.0008 0.01 0 65.594 13.241 38 11 84 12 0.0003 0.01 0 37.7 8.903 38 11 7 5 +26 0 0.0028 0.037 0 66.382 13.229 30 7 52 12 0.0005 0.037 0 31.959 8.338 30 7 18 6 +27 0 0.0004 0.003 0 48.043 10.284 61 12 61 11 0.0001 0.003 0 27.884 7.377 61 12 5 3 +27 0 0.0002 0.0006 0 72.308 13.148 101 12 57 11 0.0001 0.0006 0 36.103 8.384 101 12 29 5 +27 0 0.0002 0.0013 0 64.803 12.069 57 9 92 17 0.0001 0.0013 0 28.109 7.279 57 9 18 5 +27 0 0.0041 0.0151 0 68.405 12.405 63 12 27 7 0.0012 0.0151 0 39.685 8.488 63 12 31 6 +27 0 0.001 0.0127 0 65.181 13.288 43 11 34 9 0.0003 0.0127 0 38.681 9.059 43 11 7 5 +27 0 0.0032 0.037 0 67.167 13.245 30 7 59 13 0.0006 0.037 0 33.216 8.514 30 7 18 6 +28 0 0.0005 0.0049 0 50.389 10.372 106 14 58 13 0.0001 0.0049 0 28.66 7.48 106 14 5 3 +28 0 0.0002 0.0006 0 73.815 13.22 99 12 49 10 0.0001 0.0006 0 37.403 8.551 99 12 29 5 +28 0 0.0002 0.0013 0 67.59 12.357 57 9 58 17 0.0001 0.0013 0 29.47 7.454 57 9 18 5 +28 0 0.0043 0.0171 0 71.051 12.64 27 5 88 14 0.0013 0.0171 0 40.766 8.631 27 5 31 6 +28 0 0.0013 0.0127 0 64.455 13.399 43 11 114 16 0.0003 0.0127 0 39.57 9.209 43 11 7 5 +28 0 0.0038 1 0 68.6 13.378 22 6 99 16 0.0007 1 0 34.437 8.681 22 6 18 6 +29 0 0.0006 0.0049 0 53.924 10.691 106 14 45 11 0.0001 0.0049 0 29.502 7.587 106 14 5 3 +29 0 0.0002 0.0007 0 76.261 13.365 88 12 29 13 0.0001 0.0007 0 38.698 8.712 88 12 29 5 +29 0 0.0003 0.0018 0 70.283 12.77 43 9 19 7 0.0001 0.0018 0 30.83 7.631 43 9 18 5 +29 0 0.0044 0.0171 0 71.408 12.576 27 5 195 17 0.0014 0.0171 0 41.788 8.762 27 5 31 6 +29 0 0.0015 0.0127 0 64.695 13.505 43 11 68 14 0.0004 0.0127 0 40.407 9.352 43 11 7 5 +30 0 0.0007 0.0049 0 57.115 11.028 106 14 38 10 0.0001 0.0049 0 30.393 7.698 106 14 5 3 +30 0 0.0002 0.0007 0 78.353 13.462 88 12 145 17 0.0001 0.0007 0 39.978 8.865 88 12 29 5 +30 0 0.0003 0.0018 0 72.421 12.978 43 9 53 13 0.0001 0.0018 0 32.172 7.804 43 9 18 5 +30 0 0.0044 0.0171 0 72.418 12.677 27 5 125 15 0.0015 0.0171 0 42.776 8.889 27 5 31 6 +30 0 0.0017 0.0127 0 64.713 13.445 43 11 47 11 0.0004 0.0127 0 41.191 9.484 43 11 7 5 +31 0 0.0007 0.0049 0 59.697 11.299 106 14 54 17 0.0002 0.0049 0 31.309 7.811 106 14 5 3 +31 0 0.0002 0.0007 0 80.358 13.511 88 12 42 12 0.0001 0.0007 0 41.239 9.01 88 12 29 5 +31 0 0.0003 0.0026 0 74.762 13.217 56 9 43 8 0.0001 0.0026 0 33.503 7.973 56 9 18 5 +31 0 0.0045 0.0171 0 74.898 12.868 27 5 37 9 0.0016 0.0171 0 43.779 9.013 27 5 31 6 +31 0 0.0022 0.0127 0 68.454 13.394 43 11 89 17 0.0005 0.0127 0 42.043 9.606 43 11 7 5 +32 0 0.0008 0.0067 0 63.5 11.61 82 12 132 17 0.0002 0.0067 0 32.284 7.926 82 12 5 3 +32 0 0.0002 0.0009 0 81.784 13.532 96 17 41 12 0.0001 0.0009 0 42.468 9.147 96 17 29 5 +32 0 0.0003 0.0031 0 76.419 13.32 54 12 56 12 0.0001 0.0031 0 34.803 8.135 54 12 18 5 +32 0 0.0046 0.0171 0 76.678 13.043 27 5 112 17 0.0017 0.0171 0 44.776 9.135 27 5 31 6 +32 0 0.0036 0.0259 0 81.417 13.369 31 8 59 12 0.0005 0.0259 0 43.237 9.72 31 8 7 5 +33 0 0.0009 0.0069 0 68.121 11.974 118 17 62 11 0.0002 0.0069 0 33.338 8.045 118 17 5 3 +33 0 0.0002 0.0009 0 83.841 13.634 95 17 120 14 0.0001 0.0009 0 43.685 9.279 95 17 29 5 +33 0 0.0003 0.0031 0 78.075 13.521 54 12 66 11 0.0001 0.0031 0 36.076 8.293 54 12 18 5 +33 0 0.0047 0.0171 0 77.917 13.073 27 5 77 17 0.0018 0.0171 0 45.751 9.251 27 5 31 6 +33 0 0.006 0.6084 0 99.846 13.079 156 13 113 12 0.0007 0.6084 0 44.901 9.819 156 13 7 5 +34 0 0.001 0.0075 0 72.349 12.276 105 14 59 15 0.0002 0.0075 0 34.453 8.166 105 14 5 3 +34 0 0.0002 0.0009 0 86.244 13.769 95 17 54 12 0.0001 0.0009 0 44.901 9.407 95 17 29 5 +34 0 0.0004 0.0059 0 80.346 13.733 38 8 81 16 0.0001 0.0059 0 37.341 8.449 38 8 18 5 +34 0 0.0047 0.019 0 79.837 13.243 33 9 96 16 0.0019 0.019 0 46.725 9.365 33 9 31 6 +35 0 0.0012 0.0134 0 78.718 12.835 97 15 59 12 0.0002 0.0134 0 35.682 8.296 97 15 5 3 +35 0 0.0002 0.001 0 88.428 13.836 132 16 75 12 0.0001 0.001 0 46.11 9.53 132 16 29 5 +35 0 0.0005 0.0065 0 81.098 13.765 88 14 95 14 0.0001 0.0065 0 38.557 8.596 88 14 18 5 +35 0 0.0047 0.019 0 81.652 13.294 33 9 59 11 0.0019 0.019 0 47.695 9.474 33 9 31 6 +36 0 0.0015 0.0134 0 85.245 13.439 105 15 63 15 0.0003 0.0134 0 37.022 8.435 105 15 5 3 +36 0 0.0003 0.0011 0 90.5 13.931 132 16 95 17 0.0001 0.0011 0 47.31 9.649 132 16 29 5 +36 0 0.0006 0.0338 0 82.641 13.819 41 8 102 16 0.0001 0.0338 0 39.748 8.737 41 8 18 5 +36 0 0.0048 0.0192 0 83.486 13.363 41 11 84 16 0.002 0.0192 0 48.663 9.579 41 11 31 6 +37 0 0.0018 0.0144 0 90.635 13.866 140 17 39 7 0.0003 0.0144 0 38.433 8.577 140 17 5 3 +37 0 0.0003 0.0011 0 92.622 14.078 132 16 56 17 0.0001 0.0011 0 48.502 9.766 132 16 29 5 +37 0 0.0007 0.0338 0 82.141 13.698 41 8 24 8 0.0001 0.0338 0 40.864 8.868 41 8 18 5 +37 0 0.0049 0.0265 0 85.442 13.456 39 7 93 17 0.0021 0.0265 0 49.63 9.681 39 7 31 6 +38 0 0.0021 0.0162 0 95.764 14.227 135 17 137 14 0.0004 0.0162 0 39.903 8.722 135 17 5 3 +38 0 0.0003 0.0011 0 94.204 14.161 132 16 123 17 0.0001 0.0011 0 49.674 9.879 132 16 29 5 +38 0 0.001 0.0365 0 81.316 13.599 46 9 58 8 0.0002 0.0365 0 41.901 8.989 46 9 18 5 +38 0 0.005 0.0265 0 86.044 13.491 39 7 68 11 0.0022 0.0265 0 50.564 9.779 39 7 31 6 +39 0 0.0027 0.0165 0 101.128 14.588 126 17 149 17 0.0004 0.0165 0 41.433 8.869 126 17 5 3 +39 0 0.0003 0.0011 0 96.82 14.227 132 16 52 12 0.0001 0.0011 0 50.853 9.987 132 16 29 5 +39 0 0.0017 0.0378 0 80.223 13.419 45 8 74 12 0.0002 0.0378 0 42.859 9.1 45 8 18 5 +39 0 0.0051 0.0265 0 87.798 13.561 39 7 77 15 0.0022 0.0265 0 51.495 9.874 39 7 31 6 +40 0 0.0035 0.0174 0 104.925 14.774 129 14 52 11 0.0005 0.0174 0 42.982 9.013 129 14 5 3 +40 0 0.0003 0.0012 0 99.681 14.315 133 16 20 7 0.0001 0.0012 0 52.044 10.093 133 16 29 5 +40 0 0.0024 0.0381 0 81.63 13.675 49 9 97 13 0.0003 0.0381 0 43.805 9.212 49 9 18 5 +40 0 0.0051 0.0265 0 88.443 13.595 39 7 47 8 0.0023 0.0265 0 52.396 9.964 39 7 31 6 +41 0 0.0044 0.0191 0 111.146 15.008 159 17 150 17 0.0006 0.0191 0 44.605 9.156 159 17 5 3 +41 0 0.0003 0.0012 0 102.63 14.392 120 14 149 17 0.0001 0.0012 0 53.248 10.195 120 14 29 5 +41 0 0.0032 0.0598 0 85.478 14.206 130 17 79 11 0.0003 0.0598 0 44.797 9.33 130 17 18 5 +41 0 0.0053 0.0265 0 89.852 13.644 39 7 38 10 0.0024 0.0265 0 53.288 10.052 39 7 31 6 +42 0 0.0054 0.0194 0 114.678 15.145 162 17 106 14 0.0007 0.0194 0 46.234 9.295 162 17 5 3 +42 0 0.0003 0.0012 0 105.718 14.481 120 14 75 13 0.0001 0.0012 0 54.468 10.295 120 14 29 5 +42 0 0.0038 0.0606 0 87.181 14.449 137 17 41 9 0.0004 0.0606 0 45.782 9.45 137 17 18 5 +42 0 0.0055 0.0265 0 90.872 13.758 39 7 58 15 0.0025 0.0265 0 54.162 10.138 39 7 31 6 +43 0 0.006 0.0194 0 116.795 15.224 162 17 71 15 0.0008 0.0194 0 47.838 9.43 162 17 5 3 +43 0 0.0003 0.0012 0 107.159 14.472 120 14 101 15 0.0001 0.0012 0 55.666 10.39 120 14 29 5 +43 0 0.0054 0.0619 0 90.079 14.794 119 16 36 8 0.0005 0.0619 0 46.789 9.571 119 16 18 5 +43 0 0.0057 0.0274 0 89.816 13.685 41 9 116 16 0.0025 0.0274 0 54.972 10.219 41 9 31 6 +44 0 0.0063 0.0217 0 119.377 15.332 174 17 117 17 0.0009 0.0217 0 49.428 9.561 174 17 5 3 +44 0 0.0003 0.0012 0 108.833 14.541 120 14 142 17 0.0002 0.0012 0 56.847 10.482 120 14 29 5 +44 0 0.0112 0.1107 0 96.085 15.039 129 17 91 13 0.0008 0.1107 0 47.885 9.692 129 17 18 5 +44 0 0.006 0.0362 0 88.17 13.605 37 5 68 15 0.0026 0.0362 0 55.71 10.294 37 5 31 6 +45 0 0.0065 0.0236 0 120.875 15.408 148 17 111 17 0.0011 0.0236 0 50.981 9.688 148 17 5 3 +45 0 0.0003 0.0012 0 111.006 14.626 120 14 117 11 0.0002 0.0012 0 58.025 10.572 120 14 29 5 +45 0 0.0228 0.1107 0 109.693 15.242 129 17 126 16 0.0012 0.1107 0 49.228 9.813 129 17 18 5 +45 0 0.0065 0.0405 0 86.019 13.551 114 17 49 15 0.0027 0.0405 0 56.369 10.365 114 17 31 6 +46 0 0.0065 0.0299 0 121.753 15.491 143 17 102 13 0.0012 0.0299 0 52.487 9.811 143 17 5 3 +46 0 0.0003 0.0012 0 112.648 14.671 120 14 81 17 0.0002 0.0012 0 59.187 10.659 120 14 29 5 +46 0 0.03 0.111 0 120.218 15.406 124 17 42 8 0.0019 0.111 0 50.739 9.932 124 17 18 5 +46 0 0.0071 0.0448 0 82.54 13.449 112 17 63 17 0.0028 0.0448 0 56.926 10.43 112 17 31 6 +47 0 0.0067 0.0299 0 123.061 15.533 143 17 73 12 0.0013 0.0299 0 53.957 9.931 143 17 5 3 +47 0 0.0003 0.0014 0 116.266 14.849 133 14 76 13 0.0002 0.0014 0 60.376 10.747 133 14 29 5 +47 0 0.0327 0.1117 0 124.767 15.517 104 14 61 9 0.0025 0.1117 0 52.281 10.048 104 14 18 5 +47 0 0.0082 0.0459 0 77.561 13.353 120 17 42 11 0.0029 0.0459 0 57.356 10.491 120 17 31 6 +48 0 0.0068 0.0299 0 124.064 15.562 143 17 92 13 0.0014 0.0299 0 55.388 10.046 143 17 5 3 +48 0 0.0003 0.0014 0 119.465 14.936 133 14 134 16 0.0002 0.0014 0 61.582 10.832 133 14 29 5 +48 0 0.0329 0.1117 0 126.298 15.491 128 17 150 17 0.0031 0.1117 0 53.792 10.16 128 17 18 5 +48 0 0.0094 0.0553 0 73.202 13.276 121 17 28 7 0.003 0.0553 0 57.679 10.548 121 17 31 6 +49 0 0.0071 0.0311 0 126.758 15.675 143 17 141 17 0.0015 0.0311 0 56.815 10.158 143 17 5 3 +49 0 0.0003 0.0014 0 122.674 15.037 128 14 173 17 0.0002 0.0014 0 62.804 10.916 128 14 29 5 +49 0 0.0331 0.112 0 127.974 15.459 125 17 131 17 0.0037 0.112 0 55.275 10.266 125 17 18 5 +49 0 0.0112 0.0673 0 70.015 13.166 84 15 47 13 0.0032 0.0673 0 57.926 10.601 84 15 31 6 +50 0 0.0073 0.0314 0 127.999 15.693 154 17 119 17 0.0016 0.0314 0 58.211 10.267 154 17 5 3 +50 0 0.0003 0.0014 0 123.992 15.092 128 14 67 12 0.0002 0.0014 0 64.003 10.998 128 14 29 5 +50 0 0.034 0.1129 0 129.48 15.452 127 17 138 17 0.0043 0.1129 0 56.73 10.367 127 17 18 5 +50 0 0.0141 0.0689 0 72.395 13.441 123 17 46 14 0.0034 0.0689 0 58.209 10.656 123 17 31 6 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.bst new file mode 100644 index 0000000..850e560 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.bst @@ -0,0 +1,53 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 154 + depth: 17 + hits: 23 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 23 + raw fitness: 30.8484 + standardized fitness: 30.8484 + adjusted fitness: 0.0314 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (+ -0.40024 -0.40477))) + (* (/ (+ (exp x) + (cos (/ (cos (/ (exp x) + (- -0.23610 -0.83928))) + (cos (/ (log -0.05459) -0.77717))))) + (cos (cos (+ 0.54620 + (sin x))))) 0.18996)))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (exp 0.39910) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (+ (sin (* (- 0.55916 x) + (sin x))) + (+ (sin (* 0.03078 x)) x)) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +TREE-equ: +y = (((x * x) * ((((sin((x - ((log(exp((-0.17329 * -0.71716))) - sin((-0.40024 + -0.40477))) - (((exp(x) + cos((cos((exp(x) / (-0.23610 - -0.83928))) / cos((log(-0.05459) / -0.77717))))) / cos(cos((0.54620 + sin(x))))) * 0.18996)))) * (((0.11577 + -0.66588) / (-0.61286 + x)) / (((x - log((x - sin(0.30758)))) * x) * (x * x)))) * (-0.54716 + 0.14114)) + (exp((exp(0.39910) * (((0.11577 + -0.66588) / ((((x / 0.47925) + exp(-0.07459)) / exp(-0.07459)) - sin(((sin(((0.55916 - x) * sin(x))) + (sin((0.03078 * x)) + x)) - sin(0.30758))))) * -0.00914))) + x)) * x)) - ((x / (((x - log(exp(x))) - cos(exp(log(0.54620)))) - ((x / (x - log(exp(((sin(((x - 0.31687) - sin(0.30758))) + exp(x)) / 0.74068))))) * cos(cos(sin((x * 0.67751))))))) * x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.fn new file mode 100644 index 0000000..f1b2eb7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.fn @@ -0,0 +1,2 @@ + +y = (((x * x) * ((((sin((x - ((log(exp((-0.17329 * -0.71716))) - sin((-0.40024 + -0.40477))) - (((exp(x) + cos((cos((exp(x) / (-0.23610 - -0.83928))) / cos((log(-0.05459) / -0.77717))))) / cos(cos((0.54620 + sin(x))))) * 0.18996)))) * (((0.11577 + -0.66588) / (-0.61286 + x)) / (((x - log((x - sin(0.30758)))) * x) * (x * x)))) * (-0.54716 + 0.14114)) + (exp((exp(0.39910) * (((0.11577 + -0.66588) / ((((x / 0.47925) + exp(-0.07459)) / exp(-0.07459)) - sin(((sin(((0.55916 - x) * sin(x))) + (sin((0.03078 * x)) + x)) - sin(0.30758))))) * -0.00914))) + x)) * x)) - ((x / (((x - log(exp(x))) - cos(exp(log(0.54620)))) - ((x / (x - log(exp(((sin(((x - 0.31687) - sin(0.30758))) + exp(x)) / 0.74068))))) * cos(cos(sin((x * 0.67751))))))) * x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.his new file mode 100644 index 0000000..ff2bd35 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.his @@ -0,0 +1,1688 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 20 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 10454.2342 + standardized fitness: 10454.2342 + adjusted fitness: 0.0001 +TREE: + (+ (exp (+ (log x) + (* -0.99248 x))) + (- (+ (sin x) + (* 0.42743 0.89713)) + (+ (exp 0.43602) + (log -0.11879)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 13 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8130.7996 + standardized fitness: 8130.7996 + adjusted fitness: 0.0001 +TREE: + (- (/ (* x x) 0.09171) + (* (/ x x) + (* x 0.60372))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 14 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8078.5305 + standardized fitness: 8078.5305 + adjusted fitness: 0.0001 +TREE: + (- (/ (* x x) 0.09171) + (* (/ x x) + (cos (log (exp x))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 15 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8016.9452 + standardized fitness: 8016.9452 + adjusted fitness: 0.0001 +TREE: + (- (/ (* x x) 0.09171) + (* (/ x x) + (cos (log (+ -0.26174 x))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 10 + depth: 3 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 8012.0400 + standardized fitness: 8012.0400 + adjusted fitness: 0.0001 +TREE: + (- (/ (* x x) 0.09171) + (* (log -0.31625) x)) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 20 + depth: 7 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 8001.7607 + standardized fitness: 8001.7607 + adjusted fitness: 0.0001 +TREE: + (- (/ (* x x) 0.09171) + (* (/ x + (log (cos (cos (sin 0.06164))))) + (cos (log (exp (log (log x))))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7809.2784 + standardized fitness: 7809.2784 + adjusted fitness: 0.0001 +TREE: + (- (/ (* x x) 0.09171) + (* (+ 0.36322 + (/ x -0.67595)) + (* x 0.60372))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 9 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7782.8645 + standardized fitness: 7782.8645 + adjusted fitness: 0.0001 +TREE: + (exp (log (* (/ x -0.41256) + (* x x)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 16 + depth: 5 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 5987.8143 + standardized fitness: 5987.8143 + adjusted fitness: 0.0002 +TREE: + (- (/ (* x x) 0.09171) + (* (+ 0.36322 + (/ (exp x) -0.67595)) + (* x 0.60372))) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 16 + depth: 5 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 5987.8143 + standardized fitness: 5987.8143 + adjusted fitness: 0.0002 +TREE: + (- (/ (* x x) 0.09171) + (* (+ 0.36322 + (/ (exp x) -0.67595)) + (* x 0.60372))) +=== BEST-OF-RUN === + current generation: 10 + generation: 8 + nodes: 16 + depth: 5 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 5987.8143 + standardized fitness: 5987.8143 + adjusted fitness: 0.0002 +TREE: + (- (/ (* x x) 0.09171) + (* (+ 0.36322 + (/ (exp x) -0.67595)) + (* x 0.60372))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 10 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 5317.0279 + standardized fitness: 5317.0279 + adjusted fitness: 0.0002 +TREE: + (+ (sin -0.88880) + (* (* x x) + (* x x))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 33 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3403.7116 + standardized fitness: 3403.7116 + adjusted fitness: 0.0003 +TREE: + (* (- (log (sin (sin (+ (exp (+ -0.83510 x)) + (sin (* (cos x) + (/ (cos -0.00756) + (sin -0.49529)))))))) x) + (+ (* -0.77941 + (/ x + (sin (/ (sin 0.78927) + (* x x))))) x)) +=== BEST-OF-RUN === 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BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 25 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1710.5322 + standardized fitness: 1710.5322 + adjusted fitness: 0.0006 +TREE: + (* (- (log (sin (sin (+ (exp (+ -0.83510 x)) 0.41211)))) x) + (+ (* -0.77941 + (/ x + (sin (/ (sin 0.78927) + (* x x))))) x)) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 54 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 855.9099 + standardized fitness: 855.9099 + adjusted fitness: 0.0012 +TREE: + (- (* (* (- x + (log (- (/ 0.20211 x) + (sin 0.30758)))) x) + (* x x)) + (* (* (sin (- x + (log (+ 0.49154 + (* x + (* (exp -0.52584) -0.00914)))))) + (/ (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (- x -0.45102)) + (sin (cos (/ -0.35990 -0.90051))))) + (cos -0.41401))) x)) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 64 + depth: 14 + hits: 1 +TOP 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(* -0.08484 0.11291) + (sin x))) x)) 0.20211) + (- x -0.45102))) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (- x 0.31687) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +=== BEST-OF-RUN === + current generation: 45 + generation: 45 + nodes: 148 + depth: 17 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 41.4486 + standardized fitness: 41.4486 + adjusted fitness: 0.0236 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (* (* (- x + (log (- (/ 0.20211 x) + (sin 0.30758)))) x) + (* x x)))) 0.11577))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (sin (/ (+ (sin (+ (- (log (sin x)) + (* (* -0.08484 0.11291) + (sin x))) x)) 0.20211) + (- x -0.45102))) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (- x 0.31687) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 143 + depth: 17 + hits: 24 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 24 + raw fitness: 32.4072 + standardized fitness: 32.4072 + adjusted fitness: 0.0299 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (+ -0.40024 -0.40477))) + (* (/ (+ (exp x) + (cos (/ (cos (/ (exp x) + (- -0.23610 -0.83928))) + (cos (/ (log -0.05459) -0.77717))))) + (cos (cos (+ 0.54620 + (sin x))))) 0.18996)))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (exp 0.39910) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (- x 0.31687) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +=== BEST-OF-RUN === + current generation: 47 + generation: 46 + nodes: 143 + depth: 17 + hits: 24 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 24 + raw fitness: 32.4072 + standardized fitness: 32.4072 + adjusted fitness: 0.0299 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (+ -0.40024 -0.40477))) + (* (/ (+ (exp x) + (cos (/ (cos (/ (exp x) + (- -0.23610 -0.83928))) + (cos (/ (log -0.05459) -0.77717))))) + (cos (cos (+ 0.54620 + (sin x))))) 0.18996)))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (exp 0.39910) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (- x 0.31687) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +=== BEST-OF-RUN === + current generation: 48 + generation: 46 + nodes: 143 + depth: 17 + hits: 24 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 24 + raw fitness: 32.4072 + standardized fitness: 32.4072 + adjusted fitness: 0.0299 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (+ -0.40024 -0.40477))) + (* (/ (+ (exp x) + (cos (/ (cos (/ (exp x) + (- -0.23610 -0.83928))) + (cos (/ (log -0.05459) -0.77717))))) + (cos (cos (+ 0.54620 + (sin x))))) 0.18996)))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (exp 0.39910) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (- x 0.31687) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 143 + depth: 17 + hits: 26 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 26 + raw fitness: 31.1448 + standardized fitness: 31.1448 + adjusted fitness: 0.0311 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (+ -0.40024 -0.40477))) + (* (/ (+ (exp x) + (cos (/ (cos (/ (exp x) + (- -0.23610 -0.83928))) + (cos (/ (log -0.05459) -0.77717))))) + (cos (cos (+ 0.54620 + (sin x))))) 0.18996)))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (exp 0.39910) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (sin (log -0.75297)) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 154 + depth: 17 + hits: 23 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 23 + raw fitness: 30.8484 + standardized fitness: 30.8484 + adjusted fitness: 0.0314 +TREE: + (- (* (* x x) + (* (+ (* (* (sin (- x + (- (- (log (exp (* -0.17329 -0.71716))) + (sin (+ -0.40024 -0.40477))) + (* (/ (+ (exp x) + (cos (/ (cos (/ (exp x) + (- -0.23610 -0.83928))) + (cos (/ (log -0.05459) -0.77717))))) + (cos (cos (+ 0.54620 + (sin x))))) 0.18996)))) + (/ (/ (+ 0.11577 -0.66588) + (+ -0.61286 x)) + (* (* (- x + (log (- x + (sin 0.30758)))) x) + (* x x)))) + (+ -0.54716 0.14114)) + (+ (exp (* (exp 0.39910) + (* (/ (+ 0.11577 -0.66588) + (- (/ (+ (/ x 0.47925) + (exp -0.07459)) + (exp -0.07459)) + (sin (- (+ (sin (* (- 0.55916 x) + (sin x))) + (+ (sin (* 0.03078 x)) x)) + (sin 0.30758))))) -0.00914))) x)) x)) + (* (/ x + (- (- (- x + (log (exp x))) + (cos (exp (log 0.54620)))) + (* (/ x + (- x + (log (exp (/ (+ (sin (- (- x 0.31687) + (sin 0.30758))) + (exp x)) 0.74068))))) + (cos (cos (sin (* x 0.67751))))))) x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.prg new file mode 100644 index 0000000..c072fa7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -0.56534, y = -0.32427 + x = 2.05767, y = 32.93077 + x = 3.74249, y = 266.34116 + x = 4.92481, y = 736.86657 + x = 1.19767, y = 6.40759 + x = 3.80580, y = 283.20446 + x = 1.32794, y = 8.54277 + x = -2.29918, y = 18.77720 + x = 2.96080, y = 114.53062 + x = -3.29319, y = 89.45279 + x = 2.85135, y = 100.26393 + x = 0.01723, y = 0.01753 + x = 2.43276, y = 57.77579 + x = 2.66798, y = 79.44448 + x = -4.05373, y = 215.79922 + x = -2.82888, y = 46.57646 + x = -1.67560, y = 4.31040 + x = -0.45671, y = -0.29988 + x = 2.44491, y = 58.76851 + x = -4.20056, y = 250.66184 + x = 1.27741, y = 7.65629 + x = -2.50219, y = 27.29213 + x = 2.17363, y = 39.49022 + x = 0.71989, y = 1.87978 + x = -3.94839, y = 193.12758 + x = 1.60111, y = 14.84097 + x = 3.50581, y = 209.94765 + x = 1.85232, y = 23.41126 + x = -0.44446, y = -0.29569 + x = -2.31168, y = 19.23588 + x = -0.89093, y = -0.17431 + x = -0.98058, y = -0.03736 + x = -3.40550, y = 103.19701 + x = -3.44476, y = 108.35531 + x = -4.24700, y = 262.52156 + x = -0.62531, y = -0.32591 + x = -1.01029, y = 0.02100 + x = 0.23233, y = 0.30177 + x = -0.81082, y = -0.25424 + x = 1.39192, y = 9.77980 + x = 2.48576, y = 62.20444 + x = -4.93215, y = 491.17328 + x = -3.95621, y = 194.74751 + x = 0.56441, y = 1.16424 + x = 2.84632, y = 99.64221 + x = -0.90616, y = -0.15486 + x = 3.04677, y = 126.78223 + x = 2.29586, y = 47.45134 + x = -3.61887, y = 133.59450 + x = -0.92558, y = -0.12789 + x = -1.14140, y = 0.37166 + x = -1.45352, y = 2.05188 + x = -0.87884, y = -0.18873 + x = -2.85275, y = 48.29903 + x = -1.39489, y = 1.62258 + x = -4.58476, y = 361.90525 + x = 0.46317, y = 0.82308 + x = 2.18725, y = 40.32232 + x = 4.17181, y = 397.08151 + x = -3.17702, y = 76.72718 + x = -0.18391, y = -0.15516 + x = -3.90439, y = 184.20823 + x = 3.51164, y = 211.21597 + x = -3.43112, y = 106.54259 + x = -0.77895, y = -0.27666 + x = 2.78350, y = 92.12733 + x = -1.02656, y = 0.05599 + x = -3.13165, y = 72.14407 + x = 4.82166, y = 680.65378 + x = 1.85243, y = 23.41562 + x = -0.87565, y = -0.19238 + x = 1.02854, y = 4.29365 + x = -1.83785, y = 6.74087 + x = -1.62951, y = 3.74958 + x = 1.94084, y = 27.20785 + x = -2.26907, y = 17.70596 + x = 3.37665, y = 183.27785 + x = 0.02637, y = 0.02709 + x = -2.88522, y = 50.71864 + x = -4.36363, y = 294.15730 + x = -3.86206, y = 175.92142 + x = -3.68143, y = 143.65967 + x = 2.68051, y = 80.75151 + x = -2.26744, y = 17.64895 + x = 2.87222, y = 102.87386 + x = -1.98654, y = 9.69380 + x = 0.50778, y = 0.96304 + x = -4.97437, y = 508.96731 + x = 2.33419, y = 50.18586 + x = -2.03051, y = 10.71952 + x = -4.59875, y = 366.55320 + x = -2.87864, y = 50.22132 + x = 0.41067, y = 0.67703 + x = 2.33676, y = 50.37308 + x = -2.73243, y = 40.07682 + x = -3.54278, y = 122.07664 + x = 1.90569, y = 25.64728 + x = 2.67330, y = 79.99728 + x = 3.62357, y = 236.73548 + x = 0.11539, y = 0.13042 + x = 0.71720, y = 1.86505 + x = -1.97961, y = 9.53878 + x = 0.18108, y = 0.22088 + x = -4.25524, y = 264.66832 + x = -2.06352, y = 11.53946 + x = -2.45997, y = 25.32503 + x = 0.86597, y = 2.82765 + x = -3.61140, y = 132.42926 + x = -0.72497, y = -0.30418 + x = -4.40835, y = 307.01846 + x = -0.09254, y = -0.08470 + x = 0.43754, y = 0.74941 + x = 4.85306, y = 697.40955 + x = 1.20232, y = 6.47557 + x = -3.57827, y = 127.35190 + x = -2.30526, y = 18.99942 + x = 0.68493, y = 1.69548 + x = -3.82512, y = 168.92032 + x = 4.30131, y = 444.67841 + x = -2.23617, y = 16.58698 + x = -4.12219, y = 231.56823 + x = 1.30015, y = 8.04567 + x = -1.75521, y = 5.40931 + x = -0.29373, y = -0.22535 + x = -3.86477, y = 176.44301 + x = -3.89604, y = 182.55091 + x = -4.15254, y = 238.82818 + x = -2.58260, y = 31.34843 + x = -4.56599, y = 355.73912 + x = -0.59919, y = -0.32639 + x = 1.86495, y = 23.92615 + x = 1.98805, y = 29.41867 + x = -4.24866, y = 262.95101 + x = -3.47687, y = 112.71617 + x = 0.72892, y = 1.92983 + x = 0.70040, y = 1.77517 + x = -3.53449, y = 120.86863 + x = -3.52181, y = 119.03755 + x = -3.68917, y = 144.94255 + x = 0.17749, y = 0.21557 + x = 2.32853, y = 49.77450 + x = -0.66710, y = -0.32091 + x = -4.27568, y = 270.05173 + x = -0.42964, y = -0.29028 + x = -2.90831, y = 52.49321 + x = -0.89890, y = -0.16431 + x = 3.87657, y = 302.99529 + x = -4.29559, y = 275.37390 + x = 1.20152, y = 6.46393 + x = -3.83639, y = 171.03417 + x = -4.39024, y = 301.75948 + x = -0.51170, y = -0.31529 + x = 2.23929, y = 43.62659 + x = -0.77724, y = -0.27773 + x = 3.25044, y = 159.78524 + x = 3.72915, y = 262.88802 + x = -2.73095, y = 39.98255 + x = -1.34205, y = 1.28583 + x = 0.01584, y = 0.01609 + x = 2.23608, y = 43.41745 + x = -3.92548, y = 188.44344 + x = -0.61222, y = -0.32639 + x = -4.92223, y = 487.06147 + x = 4.09754, y = 371.58325 + x = -1.73688, y = 5.14091 + x = -4.42544, y = 312.04324 + x = -0.28677, y = -0.22136 + x = 0.28270, y = 0.39159 + x = -0.88937, y = -0.17622 + x = 2.32063, y = 49.20522 + x = -1.18183, y = 0.51505 + x = -0.01947, y = -0.01910 + x = -0.02664, y = -0.02595 + x = 3.13770, y = 140.80090 + x = -2.84593, y = 47.80253 + x = 1.38951, y = 9.73076 + x = 4.06086, y = 359.45708 + x = 4.02203, y = 346.94752 + x = 1.45582, y = 11.15267 + x = -2.59392, y = 31.95316 + x = 3.83491, y = 291.22129 + x = 2.18951, y = 40.46162 + x = 2.40156, y = 55.28374 + x = -1.80207, y = 6.13926 + x = -1.67372, y = 4.28640 + x = -2.52283, y = 28.29395 + x = 1.91028, y = 25.84665 + x = -3.34620, y = 95.75693 + x = 3.26001, y = 161.48088 + x = 0.15436, y = 0.18243 + x = -4.01283, y = 206.77269 + x = 1.18281, y = 6.19400 + x = 2.36756, y = 52.66387 + x = -1.00980, y = 0.01999 + x = -3.64068, y = 137.04109 + x = -2.65200, y = 35.19369 + x = 4.35954, y = 467.43277 + x = -2.41338, y = 23.27820 + x = -2.58371, y = 31.40700 + x = 0.70218, y = 1.78455 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.stt new file mode 100644 index 0000000..b33b514 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.033 3.655 20 4 5 3 0.0000 0.0001 0.0000 13.033 3.655 20 4 5 3 +1 0 0.0000 0.0001 0.0000 13.200 4.120 13 3 6 4 0.0000 0.0001 0.0000 13.117 3.888 13 3 5 3 +2 0 0.0000 0.0001 0.0000 13.981 4.505 14 5 10 5 0.0000 0.0001 0.0000 13.405 4.093 14 5 5 3 +3 0 0.0000 0.0001 0.0000 14.893 4.860 15 5 19 10 0.0000 0.0001 0.0000 13.777 4.285 15 5 5 3 +4 0 0.0000 0.0001 0.0000 15.178 5.006 10 3 9 4 0.0000 0.0001 0.0000 14.057 4.429 10 3 5 3 +5 0 0.0000 0.0001 0.0000 15.894 5.254 20 7 10 5 0.0000 0.0001 0.0000 14.363 4.567 20 7 5 3 +6 0 0.0000 0.0001 0.0000 16.372 5.434 15 4 26 7 0.0000 0.0001 0.0000 14.650 4.690 15 4 5 3 +7 0 0.0001 0.0001 0.0000 17.162 5.598 9 4 7 5 0.0000 0.0001 0.0000 14.964 4.804 9 4 5 3 +8 0 0.0001 0.0002 0.0000 18.195 5.850 16 5 38 8 0.0000 0.0002 0.0000 15.323 4.920 16 5 5 3 +9 0 0.0001 0.0002 0.0000 18.803 6.003 16 5 6 3 0.0000 0.0002 0.0000 15.671 5.028 16 5 5 3 +10 0 0.0001 0.0002 0.0000 18.880 6.059 16 5 14 7 0.0000 0.0002 0.0000 15.963 5.122 16 5 5 3 +11 0 0.0001 0.0002 0.0000 19.630 6.272 10 3 8 5 0.0001 0.0002 0.0000 16.268 5.218 10 3 5 3 +12 0 0.0001 0.0003 0.0000 21.231 6.574 33 10 24 11 0.0001 0.0003 0.0000 16.650 5.322 33 10 5 3 +13 0 0.0001 0.0003 0.0000 23.295 6.980 28 7 6 3 0.0001 0.0003 0.0000 17.125 5.441 28 7 5 3 +14 0 0.0001 0.0003 0.0000 25.822 7.410 28 7 16 8 0.0001 0.0003 0.0000 17.705 5.572 28 7 5 3 +15 0 0.0001 0.0003 0.0000 28.909 7.959 28 7 31 14 0.0001 0.0003 0.0000 18.405 5.721 28 7 5 3 +16 0 0.0001 0.0005 0.0000 31.407 8.370 17 7 38 12 0.0001 0.0005 0.0000 19.170 5.877 17 7 5 3 +17 0 0.0001 0.0005 0.0000 33.619 8.743 17 7 16 5 0.0001 0.0005 0.0000 19.973 6.036 17 7 5 3 +18 0 0.0001 0.0005 0.0000 35.489 9.006 17 7 46 13 0.0001 0.0005 0.0000 20.789 6.193 17 7 5 3 +19 0 0.0001 0.0005 0.0000 37.211 9.214 17 7 97 15 0.0001 0.0005 0.0000 21.610 6.344 17 7 5 3 +20 0 0.0001 0.0005 0.0000 38.997 9.466 17 7 54 16 0.0001 0.0005 0.0000 22.438 6.492 17 7 5 3 +21 0 0.0001 0.0005 0.0000 40.451 9.605 17 7 14 5 0.0001 0.0005 0.0000 23.257 6.634 17 7 5 3 +22 0 0.0001 0.0006 0.0000 42.308 9.847 25 8 44 9 0.0001 0.0006 0.0000 24.085 6.773 25 8 5 3 +23 0 0.0001 0.0012 0.0000 42.972 9.967 54 10 30 11 0.0001 0.0012 0.0000 24.872 6.907 54 10 5 3 +24 0 0.0001 0.0012 0.0000 43.877 10.052 64 14 19 8 0.0001 0.0012 0.0000 25.632 7.032 64 14 5 3 +25 0 0.0001 0.0021 0.0000 45.139 10.163 39 7 31 10 0.0001 0.0021 0.0000 26.383 7.153 39 7 5 3 +26 0 0.0002 0.0026 0.0000 46.757 10.299 38 7 95 15 0.0001 0.0026 0.0000 27.137 7.269 38 7 5 3 +27 0 0.0004 0.0030 0.0000 48.043 10.284 61 12 61 11 0.0001 0.0030 0.0000 27.884 7.377 61 12 5 3 +28 0 0.0005 0.0049 0.0000 50.389 10.372 106 14 58 13 0.0001 0.0049 0.0000 28.660 7.480 106 14 5 3 +29 0 0.0006 0.0049 0.0000 53.924 10.691 106 14 45 11 0.0001 0.0049 0.0000 29.502 7.587 106 14 5 3 +30 0 0.0007 0.0049 0.0000 57.115 11.028 106 14 38 10 0.0001 0.0049 0.0000 30.393 7.698 106 14 5 3 +31 0 0.0007 0.0049 0.0000 59.697 11.299 106 14 54 17 0.0002 0.0049 0.0000 31.309 7.811 106 14 5 3 +32 0 0.0008 0.0067 0.0000 63.500 11.610 82 12 132 17 0.0002 0.0067 0.0000 32.284 7.926 82 12 5 3 +33 0 0.0009 0.0069 0.0000 68.121 11.974 118 17 62 11 0.0002 0.0069 0.0000 33.338 8.045 118 17 5 3 +34 0 0.0010 0.0075 0.0000 72.349 12.276 105 14 59 15 0.0002 0.0075 0.0000 34.453 8.166 105 14 5 3 +35 0 0.0012 0.0134 0.0000 78.718 12.835 97 15 59 12 0.0002 0.0134 0.0000 35.682 8.296 97 15 5 3 +36 0 0.0015 0.0134 0.0000 85.245 13.439 105 15 63 15 0.0003 0.0134 0.0000 37.022 8.435 105 15 5 3 +37 0 0.0018 0.0144 0.0000 90.635 13.866 140 17 39 7 0.0003 0.0144 0.0000 38.433 8.577 140 17 5 3 +38 0 0.0021 0.0162 0.0000 95.764 14.227 135 17 137 14 0.0004 0.0162 0.0000 39.903 8.722 135 17 5 3 +39 0 0.0027 0.0165 0.0000 101.128 14.588 126 17 149 17 0.0004 0.0165 0.0000 41.433 8.869 126 17 5 3 +40 0 0.0035 0.0174 0.0000 104.925 14.774 129 14 52 11 0.0005 0.0174 0.0000 42.982 9.013 129 14 5 3 +41 0 0.0044 0.0191 0.0000 111.146 15.008 159 17 150 17 0.0006 0.0191 0.0000 44.605 9.156 159 17 5 3 +42 0 0.0054 0.0194 0.0000 114.678 15.145 162 17 106 14 0.0007 0.0194 0.0000 46.234 9.295 162 17 5 3 +43 0 0.0060 0.0194 0.0000 116.795 15.224 162 17 71 15 0.0008 0.0194 0.0000 47.838 9.430 162 17 5 3 +44 0 0.0063 0.0217 0.0000 119.377 15.332 174 17 117 17 0.0009 0.0217 0.0000 49.428 9.561 174 17 5 3 +45 0 0.0065 0.0236 0.0000 120.875 15.408 148 17 111 17 0.0011 0.0236 0.0000 50.981 9.688 148 17 5 3 +46 0 0.0065 0.0299 0.0000 121.753 15.491 143 17 102 13 0.0012 0.0299 0.0000 52.487 9.811 143 17 5 3 +47 0 0.0067 0.0299 0.0000 123.061 15.533 143 17 73 12 0.0013 0.0299 0.0000 53.957 9.931 143 17 5 3 +48 0 0.0068 0.0299 0.0000 124.064 15.562 143 17 92 13 0.0014 0.0299 0.0000 55.388 10.046 143 17 5 3 +49 0 0.0071 0.0311 0.0000 126.758 15.675 143 17 141 17 0.0015 0.0311 0.0000 56.815 10.158 143 17 5 3 +50 0 0.0073 0.0314 0.0000 127.999 15.693 154 17 119 17 0.0016 0.0314 0.0000 58.211 10.267 154 17 5 3 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.sys new file mode 100644 index 0000000..e6b811a --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_0/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 118. +creating initial population(s): + 5656 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 299142401 + freed: 298139801 + not freed: 1002600 + max allocated: 14351844 + malloc'ed blocks: 749919 + realloc'ed blocks: 12 + free'ed blocks: 749769 + +------- time ------- + overall: 6s wall + evaluation: 3s wall + breeding: 3s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 144272 + freed: 144272 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.bst new file mode 100644 index 0000000..c89b714 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.bst @@ -0,0 +1,46 @@ +=== BEST-OF-RUN === + generation: 49 + nodes: 128 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 735.0516 + standardized fitness: 735.0516 + adjusted fitness: 0.0014 +TREE: + (* (+ (exp (log (+ (sin x) + (- (- (+ x -0.17074) x) x)))) + (* (* (log (log (- (+ (sin (cos (+ -0.75061 x))) + (* (exp (log (* (* x x) + (+ 0.35008 -0.03020)))) x)) + (exp x)))) + (log (- (- x x) + (log x)))) + (cos (+ (cos -0.07573) + (exp (log (/ (* (* -0.56768 x) + (* 0.26423 -0.54991)) + (* (* 0.26423 -0.54991) + (sin -0.75485))))))))) + (* (- (- x + (+ (log 0.78317) + (+ (sin x) + (/ -0.55885 x)))) + (sin -0.59498)) + (* (log (/ (- 0.03604 + (sin (/ (* x + (- (cos (+ (+ 0.14274 0.58370) + (cos x))) + (/ 0.93881 x))) + (- (exp (cos (exp (* (* 0.26423 -0.54991) + (sin -0.75485))))) -0.40575)))) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +TREE-equ: +y = ((exp(log((sin(x) + (((x + -0.17074) - x) - x)))) + ((log(log(((sin(cos((-0.75061 + x))) + (exp(log(((x * x) * (0.35008 + -0.03020)))) * x)) - exp(x)))) * log(((x - x) - log(x)))) * cos((cos(-0.07573) + exp(log((((-0.56768 * x) * (0.26423 * -0.54991)) / ((0.26423 * -0.54991) * sin(-0.75485))))))))) * (((x - (log(0.78317) + (sin(x) + (-0.55885 / x)))) - sin(-0.59498)) * (log(((0.03604 - sin(((x * (cos(((0.14274 + 0.58370) + cos(x))) - (0.93881 / x))) / (exp(cos(exp(((0.26423 * -0.54991) * sin(-0.75485))))) - -0.40575)))) / exp(x))) * (sin(log((0.24275 + -0.54283))) - (((x / 0.99992) / (x * 0.67701)) - -0.79553))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.fn new file mode 100644 index 0000000..4432517 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.fn @@ -0,0 +1,2 @@ + +y = ((exp(log((sin(x) + (((x + -0.17074) - x) - x)))) + ((log(log(((sin(cos((-0.75061 + x))) + (exp(log(((x * x) * (0.35008 + -0.03020)))) * x)) - exp(x)))) * log(((x - x) - log(x)))) * cos((cos(-0.07573) + exp(log((((-0.56768 * x) * (0.26423 * -0.54991)) / ((0.26423 * -0.54991) * sin(-0.75485))))))))) * (((x - (log(0.78317) + (sin(x) + (-0.55885 / x)))) - sin(-0.59498)) * (log(((0.03604 - sin(((x * (cos(((0.14274 + 0.58370) + cos(x))) - (0.93881 / x))) / (exp(cos(exp(((0.26423 * -0.54991) * sin(-0.75485))))) - -0.40575)))) / exp(x))) * (sin(log((0.24275 + -0.54283))) - (((x / 0.99992) / (x * 0.67701)) - -0.79553))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.his new file mode 100644 index 0000000..5772ca9 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.his @@ -0,0 +1,1879 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 14 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10157.6724 + standardized fitness: 10157.6724 + adjusted fitness: 0.0001 +TREE: + (exp (+ (log (* (/ x -0.91470) + (log 0.60853))) + (exp (log (- x 0.40825))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 39 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9280.4274 + standardized fitness: 9280.4274 + adjusted fitness: 0.0001 +TREE: + (+ (sin (* (+ (cos (- -0.67953 x)) + (/ (log x) + (cos x))) + (/ (cos (exp -0.10268)) + (* (log x) + (* x -0.09767))))) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 38 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9251.7838 + standardized fitness: 9251.7838 + adjusted fitness: 0.0001 +TREE: + (+ (sin (* (+ (cos (log 0.25384)) + (/ (log x) + (cos x))) + (/ (cos (exp -0.10268)) + (* (log x) + (* x -0.09767))))) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 38 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9251.7838 + standardized fitness: 9251.7838 + adjusted fitness: 0.0001 +TREE: + (+ (sin (* (+ (cos (log 0.25384)) + (/ (log x) + (cos x))) + (/ (cos (exp -0.10268)) + (* (log x) + (* x -0.09767))))) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 31 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8292.3564 + standardized fitness: 8292.3564 + adjusted fitness: 0.0001 +TREE: + (+ (* (- (* x + (+ 0.91147 x)) + (cos (cos (log -0.89565)))) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 28 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8282.2959 + standardized fitness: 8282.2959 + adjusted fitness: 0.0001 +TREE: + (+ (* (- (* x + (+ 0.91147 x)) 0.49547) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 28 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8282.2959 + standardized fitness: 8282.2959 + adjusted fitness: 0.0001 +TREE: + (+ (* (- (* x + (+ 0.91147 x)) 0.49547) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 35 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6595.3105 + standardized fitness: 6595.3105 + adjusted fitness: 0.0002 +TREE: + (+ (sin (* (+ (cos (log 0.25384)) + (/ 0.46352 0.93558)) + (/ (cos (exp -0.10268)) + (* (log x) + (* x -0.09767))))) + (exp (log (/ (* (* -0.56768 x) + (* x x)) + (* (* 0.26423 -0.54991) 0.84474))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 46 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6197.7849 + standardized fitness: 6197.7849 + adjusted fitness: 0.0002 +TREE: + (+ (* (cos (cos (log (- (log x) + (- x + (+ (sin 0.48492) + (sin (log 0.06303)))))))) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* (log (- (+ (* 0.21980 -0.12932) + (* x x)) + (exp (cos -0.37604)))) x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 57 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3509.5203 + standardized fitness: 3509.5203 + adjusted fitness: 0.0003 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* (+ (+ (sin 0.55758) -0.20655) + (/ (cos x) + (- x -0.04780))) + (log x))) + (* (- (- x + (+ (log 0.78317) + (cos x))) + (sin -0.59498)) + (* (log (/ (log x) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 45 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3433.4310 + standardized fitness: 3433.4310 + adjusted fitness: 0.0003 +TREE: + (+ (* (cos (cos (log (- (log x) + (- x + (+ (sin 0.48492) + (sin (log 0.06303)))))))) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* (log (- (+ (* 0.21980 -0.12932) + (* x x)) + (exp x))) x)) + (* (* 0.26423 -0.54991) + (sin -0.75485)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 47 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3031.1323 + standardized fitness: 3031.1323 + adjusted fitness: 0.0003 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* 0.66485 + (log x))) + (* (- (- x + (+ (log 0.78317) + (cos x))) + (sin -0.59498)) + (* (log (/ (log x) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 11 + nodes: 47 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3031.1323 + standardized fitness: 3031.1323 + adjusted fitness: 0.0003 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* 0.66485 + (log x))) + (* (- (- x + (+ (log 0.78317) + (cos x))) + (sin -0.59498)) + (* (log (/ (log x) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 11 + nodes: 47 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3031.1323 + standardized fitness: 3031.1323 + adjusted fitness: 0.0003 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* 0.66485 + (log x))) + (* (- (- x + (+ (log 0.78317) + (cos x))) + (sin -0.59498)) + (* (log (/ (log x) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 48 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2274.7175 + standardized fitness: 2274.7175 + adjusted fitness: 0.0004 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* 0.66485 + (log x))) + (* (- (- x + (+ (log 0.78317) + (cos x))) + (sin -0.59498)) + (* (log (/ (log x) + (exp x))) + (- (sin (log (+ 0.24275 + (exp x)))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 55 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2002.1615 + standardized fitness: 2002.1615 + adjusted fitness: 0.0005 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (/ (+ x 0.06596) + (- (* 0.26423 -0.54991) + (- -0.31247 x)))) + (* (- (- x + (+ (log 0.78317) + (cos x))) + (sin -0.59498)) + (* (log (/ (log x) + (exp x))) + (- (sin (log (+ 0.24275 + (exp x)))) + (- (/ (/ x 0.99992) + (* 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-0.79553))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 22 + nodes: 118 + depth: 14 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1788.2367 + standardized fitness: 1788.2367 + adjusted fitness: 0.0006 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* (* (log (log (* x + (log (- x x))))) + (log (- (- x x) + (log x)))) + (cos (+ (* (cos (exp (exp (sin (* x + (cos (/ (log -0.42924) x))))))) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* (log (- (+ (* 0.21980 -0.12932) + (* x x)) + (exp x))) x)) + (* (* 0.26423 -0.54991) + (sin -0.75485))))))))) + (* (- (- x + (+ (log 0.78317) + (+ (sin x) + (/ -0.55885 x)))) + (sin -0.59498)) + (* (log (/ (- 0.03604 + (sin (- (sin (cos (+ -0.51479 + (cos 0.92935)))) + (* -0.29167 0.28456)))) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 22 + nodes: 118 + depth: 14 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1788.2367 + standardized fitness: 1788.2367 + adjusted fitness: 0.0006 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* (* (log (log (* x + (log (- x x))))) + (log (- (- x x) + (log x)))) + (cos (+ (* (cos (exp (exp (sin (* x + (cos (/ (log -0.42924) x))))))) + (+ -0.46283 -0.93653)) + (exp (log (/ (* (* -0.56768 x) + (* (log (- (+ (* 0.21980 -0.12932) + (* x x)) + (exp x))) x)) + (* (* 0.26423 -0.54991) + (sin -0.75485))))))))) + (* (- (- x + (+ (log 0.78317) + (+ (sin x) + (/ -0.55885 x)))) + (sin -0.59498)) + (* (log (/ (- 0.03604 + (sin (- (sin (cos (+ -0.51479 + (cos 0.92935)))) + (* -0.29167 0.28456)))) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 101 + depth: 12 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 1711.5055 + standardized fitness: 1711.5055 + adjusted 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depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1429.3232 + standardized fitness: 1429.3232 + adjusted fitness: 0.0007 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* (* (log (log (* x + (log (- x x))))) + (log (- (- (exp (exp x)) x) + (log x)))) + (cos x))) + (* (- (- x + (+ (log 0.78317) + (+ (sin x) + (/ -0.55885 x)))) + (sin -0.59498)) + (* (log (/ (- 0.03604 + (sin (- (sin (cos (+ -0.51479 + (cos 0.92935)))) + (sin (+ (- (+ 0.89050 -0.68555) + (cos -0.60275)) + (sin (+ -0.67593 x))))))) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 29 + nodes: 88 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1429.3232 + standardized fitness: 1429.3232 + adjusted fitness: 0.0007 +TREE: + (* (+ (exp (log (+ (sin x) + (- -0.06854 x)))) + (* (* (log (log (* x + (log (- x x))))) + (log (- (- (exp (exp x)) x) + 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BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 128 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 735.0516 + standardized fitness: 735.0516 + adjusted fitness: 0.0014 +TREE: + (* (+ (exp (log (+ (sin x) + (- (- (+ x -0.17074) x) x)))) + (* (* (log (log (- (+ (sin (cos (+ -0.75061 x))) + (* (exp (log (* (* x x) + (+ 0.35008 -0.03020)))) x)) + (exp x)))) + (log (- (- x x) + (log x)))) + (cos (+ (cos -0.07573) + (exp (log (/ (* (* -0.56768 x) + (* 0.26423 -0.54991)) + (* (* 0.26423 -0.54991) + (sin -0.75485))))))))) + (* (- (- x + (+ (log 0.78317) + (+ (sin x) + (/ -0.55885 x)))) + (sin -0.59498)) + (* (log (/ (- 0.03604 + (sin (/ (* x + (- (cos (+ (+ 0.14274 0.58370) + (cos x))) + (/ 0.93881 x))) + (- (exp (cos (exp (* (* 0.26423 -0.54991) + (sin -0.75485))))) -0.40575)))) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 49 + nodes: 128 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 735.0516 + standardized fitness: 735.0516 + adjusted fitness: 0.0014 +TREE: + (* (+ (exp (log (+ (sin x) + (- (- (+ x -0.17074) x) x)))) + (* (* (log (log (- (+ (sin (cos (+ -0.75061 x))) + (* (exp (log (* (* x x) + (+ 0.35008 -0.03020)))) x)) + (exp x)))) + (log (- (- x x) + (log x)))) + (cos (+ (cos -0.07573) + (exp (log (/ (* (* -0.56768 x) + (* 0.26423 -0.54991)) + (* (* 0.26423 -0.54991) + (sin -0.75485))))))))) + (* (- (- x + (+ (log 0.78317) + (+ (sin x) + (/ -0.55885 x)))) + (sin -0.59498)) + (* (log (/ (- 0.03604 + (sin (/ (* x + (- (cos (+ (+ 0.14274 0.58370) + (cos x))) + (/ 0.93881 x))) + (- (exp (cos (exp (* (* 0.26423 -0.54991) + (sin -0.75485))))) -0.40575)))) + (exp x))) + (- (sin (log (+ 0.24275 -0.54283))) + (- (/ (/ x 0.99992) + (* x 0.67701)) -0.79553))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.prg new file mode 100644 index 0000000..c181f44 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -4.61714, y = 372.73010 + x = -2.04739, y = 11.13344 + x = -3.24088, y = 83.54208 + x = 2.26288, y = 45.19195 + x = 2.77922, y = 91.63097 + x = -1.43253, y = 1.89114 + x = -1.76164, y = 5.50564 + x = -1.05582, y = 0.12463 + x = 3.01652, y = 122.36365 + x = -1.46615, y = 2.15254 + x = -3.76450, y = 157.88825 + x = 3.58459, y = 227.59789 + x = -0.36755, y = -0.26386 + x = -4.60405, y = 368.32577 + x = 1.98001, y = 29.03257 + x = -4.70227, y = 402.34706 + x = 1.44089, y = 10.81915 + x = 2.46578, y = 60.50540 + x = -4.44452, y = 317.72362 + x = -0.03960, y = -0.03809 + x = 2.91738, y = 108.69715 + x = -0.83908, y = -0.23009 + x = -2.54851, y = 29.57804 + x = 1.85300, y = 23.43880 + x = 1.29147, y = 7.89522 + x = -0.30108, y = -0.22951 + x = -1.31373, y = 1.12348 + x = 2.65037, y = 77.63571 + x = 0.78873, y = 2.28849 + x = -3.28509, y = 88.51782 + x = -3.48759, y = 114.20090 + x = 4.44899, y = 504.08634 + x = -0.93573, y = -0.11280 + x = -0.68130, y = -0.31792 + x = -2.38166, y = 21.95638 + x = -0.86125, y = -0.20814 + x = 3.25473, y = 160.54407 + x = 3.30507, y = 169.65366 + x = -0.42776, y = -0.28957 + x = -3.17783, y = 76.81102 + x = -3.59020, y = 129.16392 + x = -0.06817, y = -0.06382 + x = -1.50727, y = 2.50166 + x = 4.50472, y = 527.99448 + x = -2.30218, y = 18.88675 + x = 4.21967, y = 414.19975 + x = -3.75495, y = 156.20046 + x = -0.48831, y = -0.30944 + x = 1.53100, y = 12.95782 + x = 3.07287, y = 130.69199 + x = 4.56060, y = 552.81914 + x = 3.59096, y = 229.07153 + x = -3.00106, y = 60.09147 + x = -0.72476, y = -0.30427 + x = -1.58274, y = 3.23283 + x = -4.06613, y = 218.59448 + x = 3.88834, y = 306.38534 + x = 2.44042, y = 58.40012 + x = -0.35545, y = -0.25805 + x = -1.35954, y = 1.39228 + x = 0.31274, y = 0.45070 + x = -0.06671, y = -0.06254 + x = 4.37195, y = 472.39207 + x = 1.19435, y = 6.35939 + x = -2.87594, y = 50.01820 + x = 1.30367, y = 8.10739 + x = 0.09186, y = 0.10115 + x = 0.12773, y = 0.14640 + x = 2.69813, y = 82.61730 + x = 2.76033, y = 89.46780 + x = 4.05268, y = 356.79220 + x = -3.07079, y = 66.32248 + x = -4.06522, y = 218.38849 + x = -2.51738, y = 28.02705 + x = 0.39980, y = 0.64909 + x = 4.32642, y = 454.38603 + x = -2.83802, y = 47.23066 + x = 3.17624, y = 147.08675 + x = -1.56426, y = 3.04238 + x = 0.35760, y = 0.54756 + x = 0.81058, y = 2.43192 + x = 1.24585, y = 7.14092 + x = -1.99418, y = 9.86667 + x = -2.85173, y = 48.22496 + x = 1.40217, y = 9.99057 + x = 1.57912, y = 14.22850 + x = -4.92296, y = 487.36152 + x = 2.86992, y = 102.58287 + x = -2.80536, y = 44.92398 + x = 1.31466, y = 8.30236 + x = 4.04689, y = 354.91798 + x = -1.87300, y = 7.37132 + x = -4.39306, y = 302.57570 + x = 1.81191, y = 21.82151 + x = -2.23051, y = 16.39972 + x = 4.48059, y = 517.53954 + x = -1.00295, y = 0.00593 + x = -3.98989, y = 201.83438 + x = -0.89508, y = -0.16915 + x = -1.62861, y = 3.73909 + x = 2.05769, y = 32.93188 + x = -1.93119, y = 8.50505 + x = -3.92406, y = 188.15594 + x = -3.82660, y = 169.19651 + x = -2.73772, y = 40.41424 + x = -1.68525, y = 4.43456 + x = 0.58513, y = 1.24507 + x = 4.85067, y = 696.12543 + x = 2.87307, y = 102.98061 + x = 1.83814, y = 22.84362 + x = -4.14318, y = 236.56973 + x = -3.98158, y = 200.06823 + x = 0.24578, y = 0.32468 + x = 3.32989, y = 174.28695 + x = -0.40643, y = -0.28109 + x = -2.81426, y = 45.54438 + x = -0.67364, y = -0.31961 + x = -2.43996, y = 24.43045 + x = -1.57514, y = 3.15360 + x = -2.35653, y = 20.94875 + x = -2.69338, y = 37.64733 + x = -0.91825, y = -0.13836 + x = -3.97719, y = 199.13990 + x = -0.67326, y = -0.31969 + x = -4.29736, y = 275.85057 + x = 0.98386, y = 3.84122 + x = -4.14673, y = 237.42579 + x = 4.76137, y = 649.33498 + x = -4.77967, y = 430.77807 + x = -2.91495, y = 53.01188 + x = -1.25871, y = 0.84158 + x = -2.68869, y = 37.36302 + x = -4.69682, y = 400.40149 + x = 1.59760, y = 14.74192 + x = -0.49923, y = -0.31231 + x = -0.20784, y = -0.17175 + x = -3.99993, y = 203.98431 + x = -0.32406, y = -0.24205 + x = 2.55469, y = 68.34887 + x = -0.78356, y = -0.27372 + x = -2.74724, y = 41.02786 + x = 2.51701, y = 64.93454 + x = -0.55494, y = -0.32304 + x = 4.55117, y = 548.56789 + x = -0.99195, y = -0.01584 + x = -0.03486, y = -0.03369 + x = -2.89581, y = 51.52646 + x = 1.28020, y = 7.70330 + x = 1.10927, y = 5.21872 + x = 1.78563, y = 20.83391 + x = 3.62732, y = 237.63003 + x = -0.76432, y = -0.28537 + x = -4.21022, y = 253.09420 + x = -2.98013, y = 58.30909 + x = 4.63011, y = 584.91089 + x = -0.25361, y = -0.20147 + x = -2.23436, y = 16.52710 + x = -0.52166, y = -0.31744 + x = 1.67263, y = 16.97690 + x = 2.47012, y = 60.87158 + x = -2.68532, y = 37.15976 + x = -4.09081, y = 224.23594 + x = -2.70402, y = 38.29809 + x = -1.34337, y = 1.29370 + x = -0.41462, y = -0.28443 + x = -1.66018, y = 4.11687 + x = 1.57336, y = 14.07161 + x = 0.69461, y = 1.74502 + x = -0.67816, y = -0.31864 + x = 4.62843, y = 584.12228 + x = -4.91846, y = 485.50479 + x = 3.04615, y = 126.69148 + x = 1.45077, y = 11.03896 + x = 1.63923, y = 15.95138 + x = -0.98385, y = -0.03127 + x = 3.07094, y = 130.39962 + x = -1.70803, y = 4.73744 + x = 4.00294, y = 340.92054 + x = -0.30337, y = -0.23079 + x = 0.95626, y = 3.58127 + x = -1.78177, y = 5.81512 + x = 1.37492, y = 9.43819 + x = -1.91126, y = 8.10371 + x = -2.24979, y = 17.04380 + x = 4.77037, y = 653.93849 + x = -2.16790, y = 14.43136 + x = -4.98467, y = 513.37867 + x = 1.64654, y = 16.17171 + x = -2.98778, y = 58.95593 + x = -3.83904, y = 171.53466 + x = 3.21880, y = 154.27162 + x = 0.30546, y = 0.43598 + x = -4.64590, y = 382.54465 + x = 2.92626, y = 109.87161 + x = -0.86510, y = -0.20404 + x = -0.79339, y = -0.26710 + x = -3.93377, y = 190.12865 + x = 2.80583, y = 94.74692 + x = 0.53502, y = 1.05636 + x = 0.93711, y = 3.40943 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.stt new file mode 100644 index 0000000..93894d7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.015 3.685 14 5 29 5 0.0000 0.0001 0.0000 13.015 3.685 14 5 29 5 +1 0 0.0000 0.0001 0.0000 13.157 4.159 39 6 36 7 0.0000 0.0001 0.0000 13.086 3.922 39 6 29 5 +2 0 0.0000 0.0001 0.0000 13.788 4.498 38 6 21 5 0.0000 0.0001 0.0000 13.320 4.114 38 6 29 5 +3 0 0.0000 0.0001 0.0000 14.349 4.800 38 6 20 8 0.0000 0.0001 0.0000 13.577 4.286 38 6 29 5 +4 0 0.0000 0.0001 0.0000 14.924 5.048 31 6 7 5 0.0000 0.0001 0.0000 13.847 4.438 31 6 29 5 +5 0 0.0000 0.0001 0.0000 15.743 5.272 28 6 10 5 0.0000 0.0001 0.0000 14.163 4.577 28 6 29 5 +6 0 0.0000 0.0001 0.0000 16.341 5.457 28 6 33 8 0.0000 0.0001 0.0000 14.474 4.703 28 6 29 5 +7 0 0.0000 0.0002 0.0000 17.288 5.697 35 6 18 8 0.0000 0.0002 0.0000 14.826 4.827 35 6 29 5 +8 0 0.0000 0.0002 0.0000 18.073 5.896 46 10 15 4 0.0000 0.0002 0.0000 15.186 4.946 46 10 29 5 +9 0 0.0000 0.0003 0.0000 19.147 6.120 57 7 31 11 0.0000 0.0003 0.0000 15.582 5.063 57 7 29 5 +10 0 0.0000 0.0003 0.0000 20.173 6.322 45 10 28 7 0.0000 0.0003 0.0000 16.000 5.178 45 10 29 5 +11 0 0.0000 0.0003 0.0000 21.627 6.554 47 7 12 4 0.0000 0.0003 0.0000 16.469 5.292 47 7 29 5 +12 0 0.0001 0.0003 0.0000 23.327 6.785 47 7 45 16 0.0000 0.0003 0.0000 16.996 5.407 47 7 29 5 +13 0 0.0001 0.0003 0.0000 26.364 7.274 47 7 25 10 0.0000 0.0003 0.0000 17.665 5.541 47 7 29 5 +14 0 0.0001 0.0004 0.0000 29.935 7.759 48 8 34 10 0.0000 0.0004 0.0000 18.483 5.688 48 8 29 5 +15 0 0.0001 0.0005 0.0000 34.957 8.456 55 8 131 16 0.0000 0.0005 0.0000 19.513 5.861 55 8 29 5 +16 0 0.0001 0.0005 0.0000 40.476 9.290 55 8 40 12 0.0001 0.0005 0.0000 20.746 6.063 55 8 29 5 +17 0 0.0001 0.0005 0.0000 46.109 10.152 55 8 42 10 0.0001 0.0005 0.0000 22.155 6.290 55 8 29 5 +18 0 0.0001 0.0005 0.0000 50.048 10.763 55 8 103 17 0.0001 0.0005 0.0000 23.623 6.526 55 8 29 5 +19 0 0.0001 0.0005 0.0000 52.778 11.222 55 8 64 12 0.0001 0.0005 0.0000 25.081 6.761 55 8 29 5 +20 0 0.0001 0.0005 0.0000 55.249 11.565 55 8 56 9 0.0001 0.0005 0.0000 26.518 6.989 55 8 29 5 +21 0 0.0001 0.0005 0.0000 57.669 11.899 55 8 59 10 0.0001 0.0005 0.0000 27.934 7.213 55 8 29 5 +22 0 0.0002 0.0006 0.0000 59.899 12.190 118 14 84 13 0.0001 0.0006 0.0000 29.323 7.429 118 14 29 5 +23 0 0.0002 0.0006 0.0000 62.449 12.414 118 14 23 9 0.0001 0.0006 0.0000 30.704 7.637 118 14 29 5 +24 0 0.0002 0.0006 0.0000 64.437 12.575 118 14 75 13 0.0001 0.0006 0.0000 32.053 7.834 118 14 29 5 +25 0 0.0002 0.0006 0.0000 67.628 12.827 118 14 15 6 0.0001 0.0006 0.0000 33.421 8.026 118 14 29 5 +26 0 0.0002 0.0006 0.0000 69.617 12.934 101 12 69 15 0.0001 0.0006 0.0000 34.762 8.208 101 12 29 5 +27 0 0.0002 0.0006 0.0000 72.308 13.148 101 12 57 11 0.0001 0.0006 0.0000 36.103 8.384 101 12 29 5 +28 0 0.0002 0.0006 0.0000 73.815 13.220 99 12 49 10 0.0001 0.0006 0.0000 37.403 8.551 99 12 29 5 +29 0 0.0002 0.0007 0.0000 76.261 13.365 88 12 29 13 0.0001 0.0007 0.0000 38.698 8.712 88 12 29 5 +30 0 0.0002 0.0007 0.0000 78.353 13.462 88 12 145 17 0.0001 0.0007 0.0000 39.978 8.865 88 12 29 5 +31 0 0.0002 0.0007 0.0000 80.358 13.511 88 12 42 12 0.0001 0.0007 0.0000 41.239 9.010 88 12 29 5 +32 0 0.0002 0.0009 0.0000 81.784 13.532 96 17 41 12 0.0001 0.0009 0.0000 42.468 9.147 96 17 29 5 +33 0 0.0002 0.0009 0.0000 83.841 13.634 95 17 120 14 0.0001 0.0009 0.0000 43.685 9.279 95 17 29 5 +34 0 0.0002 0.0009 0.0000 86.244 13.769 95 17 54 12 0.0001 0.0009 0.0000 44.901 9.407 95 17 29 5 +35 0 0.0002 0.0010 0.0000 88.428 13.836 132 16 75 12 0.0001 0.0010 0.0000 46.110 9.530 132 16 29 5 +36 0 0.0003 0.0011 0.0000 90.500 13.931 132 16 95 17 0.0001 0.0011 0.0000 47.310 9.649 132 16 29 5 +37 0 0.0003 0.0011 0.0000 92.622 14.078 132 16 56 17 0.0001 0.0011 0.0000 48.502 9.766 132 16 29 5 +38 0 0.0003 0.0011 0.0000 94.204 14.161 132 16 123 17 0.0001 0.0011 0.0000 49.674 9.879 132 16 29 5 +39 0 0.0003 0.0011 0.0000 96.820 14.227 132 16 52 12 0.0001 0.0011 0.0000 50.853 9.987 132 16 29 5 +40 0 0.0003 0.0012 0.0000 99.681 14.315 133 16 20 7 0.0001 0.0012 0.0000 52.044 10.093 133 16 29 5 +41 0 0.0003 0.0012 0.0000 102.630 14.392 120 14 149 17 0.0001 0.0012 0.0000 53.248 10.195 120 14 29 5 +42 0 0.0003 0.0012 0.0000 105.718 14.481 120 14 75 13 0.0001 0.0012 0.0000 54.468 10.295 120 14 29 5 +43 0 0.0003 0.0012 0.0000 107.159 14.472 120 14 101 15 0.0001 0.0012 0.0000 55.666 10.390 120 14 29 5 +44 0 0.0003 0.0012 0.0000 108.833 14.541 120 14 142 17 0.0002 0.0012 0.0000 56.847 10.482 120 14 29 5 +45 0 0.0003 0.0012 0.0000 111.006 14.626 120 14 117 11 0.0002 0.0012 0.0000 58.025 10.572 120 14 29 5 +46 0 0.0003 0.0012 0.0000 112.648 14.671 120 14 81 17 0.0002 0.0012 0.0000 59.187 10.659 120 14 29 5 +47 0 0.0003 0.0014 0.0000 116.266 14.849 133 14 76 13 0.0002 0.0014 0.0000 60.376 10.747 133 14 29 5 +48 0 0.0003 0.0014 0.0000 119.465 14.936 133 14 134 16 0.0002 0.0014 0.0000 61.582 10.832 133 14 29 5 +49 0 0.0003 0.0014 0.0000 122.674 15.037 128 14 173 17 0.0002 0.0014 0.0000 62.804 10.916 128 14 29 5 +50 0 0.0003 0.0014 0.0000 123.992 15.092 128 14 67 12 0.0002 0.0014 0.0000 64.003 10.998 128 14 29 5 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.sys new file mode 100644 index 0000000..5802698 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_1/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 65. +creating initial population(s): + 5616 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 330206360 + freed: 329203760 + not freed: 1002600 + max allocated: 14135939 + malloc'ed blocks: 747763 + realloc'ed blocks: 11 + free'ed blocks: 747613 + +------- time ------- + overall: 6s wall + evaluation: 5s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 144320 + freed: 144320 + allocated: 15500 + blocks: 30 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.bst new file mode 100644 index 0000000..97860f3 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.bst @@ -0,0 +1,20 @@ +=== BEST-OF-RUN === + generation: 14 + nodes: 17 + depth: 6 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) x) + (* x x)) +TREE-equ: +y = (((((x * x) + ((x * x) * x)) * x) + x) + (x * x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.fn new file mode 100644 index 0000000..d1501d8 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.fn @@ -0,0 +1,2 @@ + +y = (((((x * x) + ((x * x) * x)) * x) + x) + (x * x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.his new file mode 100644 index 0000000..1ed03c5 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.his @@ -0,0 +1,317 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7115.3651 + standardized fitness: 7115.3651 + adjusted fitness: 0.0001 +TREE: + (+ (exp (- (sin x) x)) + (exp (+ (+ x 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7115.3651 + standardized fitness: 7115.3651 + adjusted fitness: 0.0001 +TREE: + (+ (exp (- (sin x) x)) + (exp (+ (+ x 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7115.3651 + standardized fitness: 7115.3651 + adjusted fitness: 0.0001 +TREE: + (+ (exp (- (sin x) x)) + (exp (+ (+ x 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 15 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7035.7397 + standardized fitness: 7035.7397 + adjusted fitness: 0.0001 +TREE: + (+ (exp (- (sin x) x)) + (exp (+ (+ (+ 0.00807 x) 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 15 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7035.7397 + standardized fitness: 7035.7397 + adjusted fitness: 0.0001 +TREE: + (+ (exp (- (sin x) x)) + (exp (+ (+ (+ 0.00807 x) 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 14 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5962.6922 + standardized fitness: 5962.6922 + adjusted fitness: 0.0002 +TREE: + (+ (exp (- (/ x x) x)) + (exp (+ (+ x 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 14 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5962.6922 + standardized fitness: 5962.6922 + adjusted fitness: 0.0002 +TREE: + (+ (exp (- (/ x x) x)) + (exp (+ (+ x 0.75862) + (cos -0.48433)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 21 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5933.5280 + standardized fitness: 5933.5280 + adjusted fitness: 0.0002 +TREE: + (+ (+ (exp (- (/ x x) x)) + (exp (+ (+ x 0.75862) + (cos -0.48433)))) + (* (* -0.94169 x) + (cos -0.29989))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 37 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3404.1704 + standardized fitness: 3404.1704 + adjusted fitness: 0.0003 +TREE: + (+ (+ (* (+ (* (cos x) + (log x)) + (* (* x x) x)) x) + (- (- (- (/ x 0.08339) x) + (- -0.51135 0.00094)) + (- (sin (cos -0.86629)) + (/ (* 0.50912 x) x)))) + (exp (cos x))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 35 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1760.9097 + standardized fitness: 1760.9097 + adjusted fitness: 0.0006 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) + (- (- (cos (cos (cos -0.01230))) + (- -0.51135 0.00094)) + (- (sin (cos -0.86629)) + (/ (- 0.26162 -0.24325) x)))) + (exp (exp (cos x)))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 50 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1392.9918 + standardized fitness: 1392.9918 + adjusted fitness: 0.0007 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) + (- (- (cos (cos (cos -0.01230))) + (- -0.51135 0.00094)) + (- (sin (cos -0.86629)) + (/ (- 0.26162 -0.24325) x)))) + (exp (cos (+ (sin x) + (* (sin (- -0.85755 0.16238)) + (cos (exp (log (/ (cos x) + (/ 0.68361 0.88282)))))))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 31 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 563.8110 + standardized fitness: 563.8110 + adjusted fitness: 0.0018 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) + (exp (sin (sin x)))) + (* (/ -0.42438 -0.70729) + (* (* 0.95907 x) + (- (+ 0.96504 x) + (cos x))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 46 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 410.3356 + standardized fitness: 410.3356 + adjusted fitness: 0.0024 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) + (exp (sin (sin x)))) + (* (- (- (cos 0.66297) + (- -0.51135 0.00094)) + (- (sin (cos (cos (log -0.01616)))) + (/ (* 0.50912 x) x))) + (* (* 0.95907 x) + (- (+ 0.96504 x) + (cos x))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 24 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 95.6253 + standardized fitness: 95.6253 + adjusted fitness: 0.0103 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) + (- (- x + (- -0.51135 0.00094)) + (sin 0.03417))) + (* x x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 17 + depth: 6 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ (* (+ (* x x) + (* (* x x) x)) x) x) + (* x x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.prg new file mode 100644 index 0000000..46e5a16 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 2.43363, y = 57.84639 + x = -2.41218, y = 23.22697 + x = -1.93271, y = 8.53621 + x = -4.75945, y = 423.21121 + x = -0.70991, y = -0.30973 + x = 2.91107, y = 107.86861 + x = 3.99327, y = 337.89969 + x = 0.13956, y = 0.16213 + x = 1.90048, y = 25.42169 + x = 0.95931, y = 3.60930 + x = -1.77999, y = 5.78727 + x = 4.78436, y = 661.14461 + x = -4.14344, y = 236.63341 + x = 1.69655, y = 17.74262 + x = -4.09080, y = 224.23340 + x = -4.84700, y = 456.71570 + x = 0.52108, y = 1.00781 + x = -0.69725, y = -0.31372 + x = 1.14933, y = 5.73339 + x = -4.37862, y = 298.42444 + x = 2.22959, y = 42.99573 + x = -4.74206, y = 416.78089 + x = 0.37465, y = 0.58729 + x = 1.48687, y = 11.87243 + x = 3.14899, y = 142.62090 + x = -1.09861, y = 0.23910 + x = -0.35457, y = -0.25762 + x = 2.57710, y = 70.44281 + x = -2.18616, y = 14.98653 + x = -1.80312, y = 6.15640 + x = -3.48276, y = 113.53048 + x = -4.02041, y = 208.42347 + x = -0.90432, y = -0.15728 + x = -0.44297, y = -0.29516 + x = 3.93477, y = 320.04180 + x = -4.48207, y = 329.13215 + x = 3.97646, y = 332.69185 + x = 2.54748, y = 67.68483 + x = 1.68817, y = 17.47143 + x = -2.03594, y = 10.85142 + x = -3.42039, y = 105.13110 + x = -4.59708, y = 365.99377 + x = -2.45003, y = 24.87754 + x = -2.57742, y = 31.07438 + x = -1.15161, y = 0.40614 + x = -1.83656, y = 6.71857 + x = -3.96042, y = 195.62191 + x = -4.34415, y = 288.68558 + x = -3.03856, y = 63.38555 + x = -3.65604, y = 139.50826 + x = -4.66897, y = 390.55947 + x = 3.22820, y = 155.89459 + x = 3.63677, y = 239.89251 + x = 3.10758, y = 136.03276 + x = 0.41134, y = 0.67877 + x = 1.45404, y = 11.11247 + x = 3.49215, y = 206.99431 + x = 3.51026, y = 210.91475 + x = -3.69422, y = 145.78530 + x = -1.22784, y = 0.70150 + x = 3.93461, y = 319.99367 + x = -3.55420, y = 123.75683 + x = 3.45138, y = 198.37285 + x = -1.06359, y = 0.14413 + x = -0.62031, y = -0.32615 + x = -2.18292, y = 14.88670 + x = 2.23438, y = 43.30673 + x = 3.43398, y = 194.77686 + x = -2.15184, y = 13.95532 + x = 2.74576, y = 87.82563 + x = 4.11341, y = 376.92525 + x = -0.13477, y = -0.11873 + x = -2.65868, y = 35.58186 + x = -0.19463, y = -0.16269 + x = -4.70965, y = 404.99644 + x = 4.00139, y = 340.43528 + x = -3.37883, y = 99.79944 + x = 2.26707, y = 45.47408 + x = -3.92447, y = 188.23892 + x = -3.30505, y = 90.83588 + x = 0.40924, y = 0.67330 + x = 1.13517, y = 5.54708 + x = 1.27132, y = 7.55465 + x = 4.04168, y = 353.23579 + x = -0.73773, y = -0.29879 + x = -4.92856, y = 489.68224 + x = -2.47179, y = 25.86494 + x = -4.84074, y = 454.25335 + x = -4.82266, y = 447.20659 + x = 1.11768, y = 5.32368 + x = -1.71645, y = 4.85287 + x = -4.45752, y = 321.64006 + x = -0.30068, y = -0.22928 + x = 3.94241, y = 322.33321 + x = -1.14935, y = 0.39841 + x = 1.71438, y = 18.33065 + x = 3.06161, y = 128.99431 + x = 2.74461, y = 87.69655 + x = -2.86777, y = 49.40724 + x = -0.15300, y = -0.13262 + x = -3.45773, y = 110.10151 + x = -1.22749, y = 0.69997 + x = 4.58032, y = 561.78176 + x = -4.73351, y = 413.64820 + x = 0.93472, y = 3.38845 + x = -0.80414, y = -0.25934 + x = -3.04312, y = 63.79473 + x = 4.59509, y = 568.57203 + x = -1.15469, y = 0.41678 + x = 0.33990, y = 0.50805 + x = -1.07417, y = 0.17159 + x = 3.33288, y = 174.85311 + x = 3.33292, y = 174.85973 + x = 0.18809, y = 0.23138 + x = -4.51139, y = 338.25156 + x = 3.39213, y = 186.33078 + x = 1.74648, y = 19.42748 + x = 4.50897, y = 529.85221 + x = -4.91423, y = 483.76642 + x = 2.66531, y = 79.16830 + x = -0.24452, y = -0.19578 + x = 4.48977, y = 521.50127 + x = 1.30175, y = 8.07366 + x = 3.00116, y = 120.16509 + x = 1.20349, y = 6.49289 + x = 0.34090, y = 0.51024 + x = 0.28491, y = 0.39581 + x = -2.92517, y = 53.81770 + x = 3.87064, y = 301.29895 + x = 1.09449, y = 5.03846 + x = 2.04451, y = 32.24320 + x = -2.97392, y = 57.78821 + x = -1.57824, y = 3.18574 + x = 0.73563, y = 1.96773 + x = 2.76912, y = 90.46910 + x = 2.07636, y = 33.92628 + x = 2.80225, y = 94.32334 + x = -3.91677, y = 186.68617 + x = 3.55307, y = 220.40441 + x = 0.87014, y = 2.85936 + x = -1.67504, y = 4.30326 + x = -1.98076, y = 9.56444 + x = -4.92650, y = 488.82902 + x = -2.48797, y = 26.61754 + x = -3.63779, y = 136.58140 + x = -1.20623, y = 0.61069 + x = -0.75927, y = -0.28815 + x = 1.69815, y = 17.79474 + x = -2.26108, y = 17.42922 + x = 3.50975, y = 210.80403 + x = -3.57053, y = 126.18755 + x = 0.98678, y = 3.86953 + x = 3.87397, y = 302.24871 + x = 1.03774, y = 4.39196 + x = 2.80249, y = 94.35171 + x = 4.51619, y = 533.01949 + x = -4.64925, y = 383.70055 + x = -1.15532, y = 0.41895 + x = -2.50263, y = 27.31330 + x = 3.85836, y = 297.80665 + x = 1.39361, y = 9.81426 + x = -4.12635, y = 232.55225 + x = -3.95797, y = 195.11343 + x = 2.97517, y = 116.51354 + x = -2.98506, y = 58.72531 + x = -4.09341, y = 224.83688 + x = 3.25938, y = 161.37002 + x = 0.82089, y = 2.50199 + x = -1.17411, y = 0.48624 + x = 1.69484, y = 17.68688 + x = -0.84860, y = -0.22100 + x = -4.95167, y = 499.34115 + x = 1.77005, y = 20.26504 + x = -3.42399, y = 105.60252 + x = 1.23584, y = 6.98329 + x = 3.76870, y = 273.22653 + x = -4.38419, y = 300.01941 + x = -4.73600, y = 414.55645 + x = -4.80133, y = 438.99730 + x = 1.68731, y = 17.44346 + x = -0.00985, y = -0.00976 + x = -3.55977, y = 124.58126 + x = 4.57746, y = 560.47638 + x = -4.98772, y = 514.69095 + x = 4.70088, y = 619.01414 + x = 1.17086, y = 6.02630 + x = -4.01595, y = 207.45006 + x = 0.44659, y = 0.77488 + x = -1.27931, y = 0.94212 + x = 1.86253, y = 23.82662 + x = 3.81697, y = 286.26054 + x = -3.01864, y = 61.61883 + x = 2.25734, y = 44.82050 + x = -3.14177, y = 73.14901 + x = -3.28126, y = 88.07830 + x = -1.72337, y = 4.94913 + x = 1.24919, y = 7.19408 + x = 3.49748, y = 208.14374 + x = 1.27619, y = 7.63587 + x = -2.40649, y = 22.98622 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.stt new file mode 100644 index 0000000..0a894b7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.stt @@ -0,0 +1,16 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.284 3.697 13 4 9 5 0.0000 0.0001 0.0000 13.284 3.697 13 4 9 5 +1 0 0.0000 0.0001 0.0000 13.343 4.151 13 4 18 6 0.0000 0.0001 0.0000 13.314 3.924 13 4 9 5 +2 0 0.0000 0.0001 0.0000 13.954 4.489 13 4 56 13 0.0000 0.0001 0.0000 13.527 4.112 13 4 9 5 +3 0 0.0000 0.0001 0.0000 14.738 4.775 15 5 18 5 0.0000 0.0001 0.0000 13.830 4.278 15 5 9 5 +4 0 0.0000 0.0001 0.0000 15.104 4.990 15 5 10 4 0.0000 0.0001 0.0000 14.085 4.420 15 5 9 5 +5 0 0.0000 0.0002 0.0000 15.619 5.210 14 4 27 9 0.0000 0.0002 0.0000 14.341 4.552 14 4 27 9 +6 0 0.0000 0.0002 0.0000 15.940 5.338 14 4 29 6 0.0000 0.0002 0.0000 14.569 4.664 14 4 27 9 +7 0 0.0000 0.0002 0.0000 16.938 5.593 21 5 6 4 0.0000 0.0002 0.0000 14.865 4.780 21 5 27 9 +8 0 0.0000 0.0003 0.0000 18.016 5.818 37 6 23 6 0.0000 0.0003 0.0000 15.215 4.896 37 6 27 9 +9 0 0.0000 0.0006 0.0000 19.821 6.141 35 7 13 5 0.0000 0.0006 0.0000 15.676 5.020 35 7 27 9 +10 0 0.0001 0.0007 0.0000 23.712 6.677 50 10 9 4 0.0000 0.0007 0.0000 16.406 5.171 50 10 27 9 +11 0 0.0001 0.0018 0.0000 29.367 7.419 31 6 25 7 0.0000 0.0018 0.0000 17.486 5.358 31 6 27 9 +12 0 0.0001 0.0024 0.0000 36.283 8.244 46 8 63 14 0.0000 0.0024 0.0000 18.932 5.580 46 8 27 9 +13 0 0.0002 0.0103 0.0000 41.101 8.743 24 6 67 9 0.0001 0.0103 0.0000 20.516 5.806 24 6 27 9 +14 0 0.0009 1.0000 0.0000 44.560 9.056 17 6 89 12 0.0001 1.0000 0.0000 22.119 6.023 17 6 27 9 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.sys new file mode 100644 index 0000000..c5ed71c --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_2/regress.sys @@ -0,0 +1,95 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 947. +creating initial population(s): + 5639 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 37974729 + freed: 37694001 + not freed: 280728 + max allocated: 5541212 + malloc'ed blocks: 220980 + realloc'ed blocks: 10 + free'ed blocks: 220938 + +------- time ------- + overall: 1s wall + evaluation: 1s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 50279 + freed: 50279 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.bst new file mode 100644 index 0000000..74bb716 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.bst @@ -0,0 +1,46 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 127 + depth: 17 + hits: 56 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 56 + raw fitness: 7.8557 + standardized fitness: 7.8557 + adjusted fitness: 0.1129 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (+ (+ x -0.33091) + (/ x 0.66899)) + (* (log (/ x x)) + (+ (+ x -0.33091) x))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (/ x x) + (log -0.91098)) + (exp -0.92310)) + (sin (log (- -0.77936 x)))) -0.17965)) + (log 0.88917)) x) + (- x + (* (- (log (- 0.75061 0.35096)) + (cos x)) + (exp (+ (* x x) + (+ (cos x) x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +TREE-equ: +y = ((((((x * x) - -0.77671) + (0.58469 + -0.91941)) - log(((((x + -0.33091) + (x / 0.66899)) * (log((x / x)) * ((x + -0.33091) + x))) * cos(0.37193)))) + exp(log(((((-0.16216 / ((x + x) / (x / x))) * cos((x - log(0.63350)))) / (exp(x) - (log((sin((0.09975 + 0.49818)) * 0.70960)) - (((sin((((((x / x) * 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INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9645.2727 + standardized fitness: 9645.2727 + adjusted fitness: 0.0001 +TREE: + (exp (log (* (* x x) + (/ x 0.31941)))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 15 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7475.3361 + standardized fitness: 7475.3361 + adjusted fitness: 0.0001 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) + (/ x x)) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 15 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7475.3361 + standardized fitness: 7475.3361 + adjusted fitness: 0.0001 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) + (/ x x)) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 15 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7475.3361 + standardized fitness: 7475.3361 + adjusted fitness: 0.0001 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) + (/ x x)) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 5 + generation: 2 + nodes: 15 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7475.3361 + standardized fitness: 7475.3361 + adjusted fitness: 0.0001 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) + (/ x x)) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 17 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7031.6774 + standardized fitness: 7031.6774 + adjusted fitness: 0.0001 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) + (cos (- (sin x) -0.41835))) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 17 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7031.6774 + standardized fitness: 7031.6774 + adjusted fitness: 0.0001 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) + (cos (- (sin x) -0.41835))) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5815.7516 + standardized fitness: 5815.7516 + adjusted fitness: 0.0002 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) 0.83069) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5815.7516 + standardized fitness: 5815.7516 + adjusted fitness: 0.0002 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) 0.83069) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 10 + generation: 8 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5815.7516 + standardized fitness: 5815.7516 + adjusted fitness: 0.0002 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) 0.83069) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 11 + generation: 8 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5815.7516 + standardized fitness: 5815.7516 + adjusted fitness: 0.0002 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) 0.83069) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 12 + generation: 8 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5815.7516 + standardized fitness: 5815.7516 + adjusted fitness: 0.0002 +TREE: + (+ (/ (* (exp x) + (+ x 0.24018)) 0.83069) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 53 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5749.5295 + standardized fitness: 5749.5295 + adjusted fitness: 0.0002 +TREE: + (+ (/ (+ (/ (* (exp x) + (+ x 0.24018)) 0.83069) + (exp (/ x -0.81818))) + (/ x x)) + (exp (* (cos (- x + (log x))) + (* (- (- -0.98412 x) + (* (cos (exp -0.00446)) + (- (log x) + (/ (exp (* (* (exp -0.48091) + (log -0.76813)) + (log (* 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0.06551 x) + (log (+ x x))))) + (exp (/ x -0.81818))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 47 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4161.4098 + standardized fitness: 4161.4098 + adjusted fitness: 0.0002 +TREE: + (* (+ (log (+ -0.48188 + (cos (- -0.15563 x)))) + (exp (log (+ (/ (* x x) 0.78000) + (sin (* x -0.17965)))))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (sin x))) + (* (sin (cos (/ -0.57755 x))) + (/ (sin (+ x x)) + (exp (exp -0.21198)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 45 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2389.6770 + standardized fitness: 2389.6770 + adjusted fitness: 0.0004 +TREE: + (* (+ (log (cos x)) + (exp (log (+ (/ (* x x) 0.78000) + (sin (* x -0.17965)))))) + (+ (- (* x x) + (- (- (- (exp (log x)) 0.05307) x) + (/ (/ (log (+ (log x) + (sin 0.41853))) x) + (cos (/ x -0.70070))))) + (log x))) +=== BEST-OF-RUN 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BEST-OF-RUN === + current generation: 42 + generation: 42 + nodes: 137 + depth: 17 + hits: 30 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 30 + raw fitness: 15.5103 + standardized fitness: 15.5103 + adjusted fitness: 0.0606 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (/ (+ (exp x) + (* 0.96111 -0.16045)) + (exp (exp -0.81897))) + (* (log (/ x x)) + (+ (+ x -0.33091) + (/ x 0.66899)))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (* x x) + (- (log (* (sin (+ (* (cos (log x)) + (log (/ 0.83337 -0.06195))) 0.76900)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (/ x x) + (log -0.91098)) + (exp -0.92310)) + (sin (log (- -0.77936 x)))) -0.17965)) + (log 0.88917)) x) + (- x + (* (cos (+ (log x) x)) + (exp (+ (* x x) + (+ x x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 43 + generation: 43 + nodes: 119 + depth: 16 + hits: 30 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 30 + raw fitness: 15.1653 + standardized fitness: 15.1653 + adjusted fitness: 0.0619 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (/ (+ (exp x) + (* 0.96111 -0.16045)) + (exp (exp -0.81897))) + (* (log (/ x x)) + (+ (+ x -0.33091) + (/ x 0.66899)))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (* x x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (+ x x) x) + (- x + (* (cos (+ (log x) x)) + (exp (/ (+ (exp 0.24426) + (cos (log -0.64719))) + (sin (* (exp -0.02733) + (/ -0.05550 x))))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 44 + generation: 44 + nodes: 129 + depth: 17 + hits: 52 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 52 + raw fitness: 8.0296 + standardized fitness: 8.0296 + adjusted fitness: 0.1107 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (* -0.99165 + (sin (/ (* x 0.19404) + (/ x -0.19711)))) + (* (log (/ x x)) + (+ (+ x -0.33091) + (/ x 0.66899)))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (/ x x) + (log -0.91098)) + (exp -0.92310)) + (sin (log (- -0.77936 x)))) -0.17965)) + (log 0.88917)) x) + (- x + (* (cos (+ (log x) x)) + (exp (+ (* x x) + (+ x x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 45 + generation: 44 + nodes: 129 + depth: 17 + hits: 52 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 52 + raw fitness: 8.0296 + standardized fitness: 8.0296 + adjusted fitness: 0.1107 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (* -0.99165 + (sin (/ (* x 0.19404) + (/ x -0.19711)))) + (* (log (/ x x)) + (+ (+ x -0.33091) + (/ x 0.66899)))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (/ x x) + (log -0.91098)) + (exp -0.92310)) + (sin (log (- -0.77936 x)))) -0.17965)) + (log 0.88917)) x) + (- x + (* (cos (+ (log x) x)) + (exp (+ (* x x) + (+ x x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 124 + depth: 17 + hits: 55 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 55 + raw fitness: 8.0075 + standardized fitness: 8.0075 + adjusted fitness: 0.1110 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (+ (+ x -0.33091) + (/ x 0.66899)) + (* 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+ (/ x x))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (exp -0.92310) + (- x + (* (cos (+ -0.50282 -0.19800)) + (exp (+ (* x x) + (+ x x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 128 + depth: 17 + hits: 52 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 52 + raw fitness: 7.9508 + standardized fitness: 7.9508 + adjusted fitness: 0.1117 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (* -0.99165 + (sin (/ (* x 0.19404) + (/ x -0.19711)))) + (* (log (/ x x)) + (+ (+ x -0.33091) + (/ x 0.66899)))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (/ x x) + (log -0.91098)) + (exp x)) + (sin (log (- -0.77936 x)))) -0.17965)) + (+ x x)) x) + (- x + (* (sin (sin (cos -0.14472))) + (exp (+ x + (sin (cos (cos -0.96535))))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 125 + depth: 17 + hits: 58 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 58 + raw fitness: 7.9303 + standardized fitness: 7.9303 + adjusted fitness: 0.1120 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (+ (+ x -0.33091) + (/ x 0.66899)) + (* (log (/ x x)) + (+ (+ x -0.33091) + (/ x 0.66899)))) + (log x)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (sin 0.94539))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (+ 0.70250 -0.71190) + (log -0.91098)) + (exp -0.92310)) + (sin (log (- -0.77936 x)))) -0.17965)) + (log 0.88917)) x) + (- x + (* (cos (+ (log x) x)) + (exp (+ (* x x) + (+ x x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 127 + depth: 17 + hits: 56 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 56 + raw fitness: 7.8557 + standardized fitness: 7.8557 + adjusted fitness: 0.1129 +TREE: + (* (+ (- (+ (- (* x x) -0.77671) + (+ 0.58469 -0.91941)) + (log (* (* (+ (+ x -0.33091) + (/ x 0.66899)) + (* (log (/ x x)) + (+ (+ x -0.33091) x))) + (cos 0.37193)))) + (exp (log (+ (/ (* (/ -0.16216 + (/ (+ x x) + (/ x x))) + (cos (- x + (log 0.63350)))) + (- (exp x) + (- (log (* (sin (+ 0.09975 0.49818)) 0.70960)) + (/ (/ (/ (sin (* (* (- (* (/ x x) + (log -0.91098)) + (exp -0.92310)) + (sin (log (- -0.77936 x)))) -0.17965)) + (log 0.88917)) x) + (- x + (* (- (log (- 0.75061 0.35096)) + (cos x)) + (exp (+ (* x x) + (+ (cos x) x))))))))) 0.52953)))) + (+ (- (* x x) + (- (- (sin 0.94539) x) + (* -0.72412 + (sin (sin (cos -0.14472)))))) + (- 0.63473 -0.74450))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.prg new file mode 100644 index 0000000..449e408 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 3.48507, y = 205.47757 + x = -1.04340, y = 0.09458 + x = -1.19007, y = 0.54655 + x = 4.32775, y = 454.90576 + x = 2.78638, y = 92.46174 + x = -3.56973, y = 126.06716 + x = -2.13520, y = 13.47445 + x = 1.35870, y = 9.12094 + x = -3.10486, y = 69.53618 + x = -2.65867, y = 35.58110 + x = -2.94365, y = 55.29801 + x = 3.69881, y = 255.15900 + x = 1.61889, y = 15.35122 + x = 4.70644, y = 621.75645 + x = -2.97729, y = 58.07087 + x = 3.50920, y = 210.68355 + x = -4.54350, y = 348.45500 + x = -2.19320, y = 15.20477 + x = -1.53204, y = 2.72828 + x = 1.70212, y = 17.92448 + x = -0.37983, y = -0.26954 + x = -1.98520, y = 9.66365 + x = -4.94409, y = 496.15855 + x = -0.47673, y = -0.30615 + x = -3.55990, y = 124.60012 + x = 2.95679, y = 113.98222 + x = -4.36540, y = 294.66073 + x = -1.81559, y = 6.36193 + x = -1.27533, y = 0.92223 + x = -4.75467, y = 421.43563 + x = -0.23221, y = -0.18790 + x = -3.59361, y = 129.68498 + x = 2.08937, y = 34.63300 + x = -1.16687, y = 0.45984 + x = -3.38398, y = 100.44930 + x = -3.67054, y = 141.86688 + x = -4.94603, y = 496.97018 + x = -0.01264, y = -0.01248 + x = 0.90787, y = 3.15975 + x = -2.92188, y = 53.55704 + x = -3.14351, y = 73.32227 + x = -4.96951, y = 506.89494 + x = 0.67620, y = 1.65174 + x = -1.54321, y = 2.83468 + x = 2.48013, y = 61.72166 + x = -4.22541, y = 256.95686 + x = 4.20059, y = 407.30962 + x = -2.73170, y = 40.02992 + x = 1.45899, y = 11.22444 + x = -2.31578, y = 19.38793 + x = 2.16779, y = 39.13790 + x = 0.07174, y = 0.07728 + x = -1.68678, y = 4.45448 + x = -4.52003, y = 340.97414 + x = 4.24092, y = 421.97457 + x = 2.07868, y = 34.05170 + x = 1.86723, y = 24.02015 + x = 4.97680, y = 766.49446 + x = 2.71173, y = 84.08006 + x = 1.45691, y = 11.17738 + x = -3.62370, y = 134.35195 + x = 2.87744, y = 103.53411 + x = -4.54917, y = 350.28277 + x = 4.81702, y = 678.20520 + x = -4.51516, y = 339.43874 + x = -2.97414, y = 57.80628 + x = -1.97740, y = 9.48974 + x = -1.83790, y = 6.74174 + x = -2.77368, y = 42.76808 + x = -3.75188, y = 155.66211 + x = 4.30861, y = 447.48330 + x = 3.18820, y = 149.07898 + x = 1.34781, y = 8.91281 + x = -4.21626, y = 254.62511 + x = 4.53433, y = 541.03846 + x = 4.54843, y = 547.34005 + x = 4.70158, y = 619.36025 + x = 4.57593, y = 559.77893 + x = 0.28235, y = 0.39093 + x = -0.63858, y = -0.32491 + x = -3.91045, y = 185.41707 + x = -4.34220, y = 288.14276 + x = 0.47268, y = 0.85163 + x = 2.26776, y = 45.52071 + x = 3.86903, y = 300.83704 + x = 1.89035, y = 24.98832 + x = -4.04444, y = 213.72357 + x = 2.27234, y = 45.83147 + x = -1.65171, y = 4.01311 + x = 4.59015, y = 566.29639 + x = 3.30686, y = 169.98524 + x = 1.89187, y = 25.05263 + x = -2.23895, y = 16.67953 + x = -0.34025, y = -0.25047 + x = -2.23048, y = 16.39900 + x = -1.33171, y = 1.22515 + x = -1.31732, y = 1.14342 + x = -0.10754, y = -0.09708 + x = -1.07754, y = 0.18055 + x = 2.93169, y = 110.59477 + x = -3.92699, y = 188.75114 + x = 4.62466, y = 582.34627 + x = 1.98596, y = 29.31798 + x = -2.90244, y = 52.03723 + x = -3.40533, y = 103.17573 + x = 1.51000, y = 12.43183 + x = 4.59906, y = 570.40556 + x = 1.04546, y = 4.47575 + x = -3.38905, y = 101.09164 + x = -2.64944, y = 35.04592 + x = 1.12312, y = 5.39235 + x = 4.59489, y = 568.47925 + x = 1.62851, y = 15.63281 + x = 3.12158, y = 138.23413 + x = 3.15005, y = 142.79297 + x = -0.51556, y = -0.31614 + x = 0.11639, y = 0.13170 + x = 0.79107, y = 2.30355 + x = 2.04751, y = 32.39873 + x = 1.81655, y = 21.99979 + x = 3.34319, y = 176.80963 + x = 3.13014, y = 139.59259 + x = 4.23964, y = 421.50452 + x = -0.70538, y = -0.31122 + x = -4.82489, y = 448.07025 + x = 4.68395, y = 610.72111 + x = -3.79776, y = 163.87222 + x = -0.74975, y = -0.29309 + x = 4.18907, y = 403.19263 + x = -1.97567, y = 9.45160 + x = 4.94938, y = 750.75761 + x = -1.34388, y = 1.29674 + x = 2.96498, y = 115.10537 + x = -2.06821, y = 11.65960 + x = 3.23830, y = 157.65280 + x = -3.50534, y = 116.69051 + x = -0.97072, y = -0.05521 + x = 2.35110, y = 51.42973 + x = 4.11771, y = 378.38040 + x = -0.61541, y = -0.32632 + x = -3.22604, y = 81.91920 + x = 0.16449, y = 0.19673 + x = -4.77516, y = 429.08200 + x = 1.53174, y = 12.97656 + x = -3.75303, y = 155.86425 + x = -4.82328, y = 447.44613 + x = 2.65222, y = 77.82430 + x = 3.46642, y = 201.52216 + x = -0.51536, y = -0.31610 + x = -1.91443, y = 8.16668 + x = -2.53395, y = 28.84480 + x = 4.43243, y = 497.14359 + x = 0.70339, y = 1.79095 + x = -4.10186, y = 226.79871 + x = 2.98231, y = 117.50867 + x = 2.41688, y = 56.49706 + x = -3.34032, y = 95.04236 + x = -0.94583, y = -0.09707 + x = -1.14074, y = 0.36947 + x = -4.90000, y = 477.93947 + x = -2.51929, y = 28.12005 + x = -2.75204, y = 41.33966 + x = 1.92775, y = 26.61838 + x = 2.22636, y = 42.78712 + x = -4.42340, y = 311.43911 + x = -4.04137, y = 213.04042 + x = 4.37005, y = 471.63279 + x = -4.90323, y = 479.25784 + x = 1.87461, y = 24.32596 + x = 2.97333, y = 116.25827 + x = 1.83221, y = 22.60948 + x = 1.64997, y = 16.27563 + x = -3.69357, y = 145.67554 + x = -1.03806, y = 0.08209 + x = -0.64950, y = -0.32368 + x = 3.91075, y = 312.92244 + x = -2.57325, y = 30.85524 + x = 3.34150, y = 176.48912 + x = 1.31231, y = 8.26026 + x = -2.24177, y = 16.77365 + x = 3.02427, y = 123.48393 + x = 2.14807, y = 37.96479 + x = -4.60902, y = 369.99048 + x = 4.08907, y = 368.75540 + x = -4.45639, y = 321.29646 + x = 2.70142, y = 82.96861 + x = 1.72837, y = 18.80240 + x = -4.26138, y = 266.27612 + x = -2.64482, y = 34.78036 + x = 2.27967, y = 46.33156 + x = -2.87539, y = 49.97669 + x = -1.06749, y = 0.15413 + x = -4.52352, y = 342.07975 + x = -3.85562, y = 174.68623 + x = 2.55237, y = 68.13490 + x = 0.12399, y = 0.14151 + x = -1.14195, y = 0.37348 + x = 1.26290, y = 7.41583 + x = -2.81876, y = 45.86010 + x = -2.66379, y = 35.88026 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.stt new file mode 100644 index 0000000..4e5a2c8 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.054 3.656 9 4 18 5 0.0000 0.0001 0.0000 13.054 3.656 9 4 18 5 +1 0 0.0000 0.0001 0.0000 13.196 4.125 9 4 11 4 0.0000 0.0001 0.0000 13.125 3.891 9 4 18 5 +2 0 0.0000 0.0001 0.0000 13.971 4.477 15 4 10 4 0.0000 0.0001 0.0000 13.407 4.086 15 4 18 5 +3 0 0.0000 0.0001 0.0000 14.311 4.709 15 4 16 5 0.0000 0.0001 0.0000 13.633 4.242 15 4 18 5 +4 0 0.0000 0.0001 0.0000 14.778 4.931 15 4 38 8 0.0000 0.0001 0.0000 13.862 4.379 15 4 18 5 +5 0 0.0000 0.0001 0.0000 15.343 5.164 15 4 6 4 0.0000 0.0001 0.0000 14.109 4.510 15 4 18 5 +6 0 0.0000 0.0001 0.0000 15.950 5.357 17 5 17 8 0.0000 0.0001 0.0000 14.372 4.631 17 5 18 5 +7 0 0.0000 0.0001 0.0000 16.375 5.532 17 5 5 3 0.0000 0.0001 0.0000 14.622 4.744 17 5 18 5 +8 0 0.0000 0.0002 0.0000 17.091 5.756 13 4 11 8 0.0000 0.0002 0.0000 14.896 4.856 13 4 18 5 +9 0 0.0000 0.0002 0.0000 17.315 5.822 13 4 9 4 0.0000 0.0002 0.0000 15.138 4.953 13 4 18 5 +10 0 0.0000 0.0002 0.0000 17.747 5.949 13 4 27 7 0.0000 0.0002 0.0000 15.375 5.043 13 4 18 5 +11 0 0.0000 0.0002 0.0000 18.169 6.065 13 4 32 13 0.0000 0.0002 0.0000 15.608 5.128 13 4 18 5 +12 0 0.0000 0.0002 0.0000 18.877 6.182 13 4 47 12 0.0000 0.0002 0.0000 15.860 5.210 13 4 18 5 +13 0 0.0000 0.0002 0.0000 19.517 6.319 53 12 18 7 0.0000 0.0002 0.0000 16.121 5.289 53 12 18 5 +14 0 0.0000 0.0002 0.0000 20.549 6.563 21 6 30 16 0.0000 0.0002 0.0000 16.416 5.374 21 6 18 5 +15 0 0.0000 0.0002 0.0000 21.867 6.818 21 6 9 6 0.0000 0.0002 0.0000 16.757 5.464 21 6 18 5 +16 0 0.0000 0.0002 0.0000 23.936 7.176 21 6 22 6 0.0000 0.0002 0.0000 17.179 5.565 21 6 18 5 +17 0 0.0000 0.0002 0.0000 26.557 7.585 47 7 30 13 0.0000 0.0002 0.0000 17.700 5.677 47 7 18 5 +18 0 0.0001 0.0004 0.0000 29.575 8.096 45 9 15 5 0.0000 0.0004 0.0000 18.325 5.804 45 9 18 5 +19 0 0.0001 0.0004 0.0000 33.296 8.609 45 9 30 8 0.0000 0.0004 0.0000 19.074 5.944 45 9 18 5 +20 0 0.0001 0.0006 0.0000 37.157 9.142 47 10 114 15 0.0000 0.0006 0.0000 19.935 6.097 47 10 18 5 +21 0 0.0001 0.0007 0.0000 41.347 9.714 46 10 74 14 0.0000 0.0007 0.0000 20.908 6.261 46 10 18 5 +22 0 0.0001 0.0007 0.0000 44.325 9.964 61 15 99 17 0.0000 0.0007 0.0000 21.926 6.422 61 15 18 5 +23 0 0.0001 0.0009 0.0000 48.118 10.384 34 8 60 9 0.0000 0.0009 0.0000 23.017 6.587 34 8 18 5 +24 0 0.0001 0.0009 0.0000 52.678 10.817 35 8 53 11 0.0000 0.0009 0.0000 24.204 6.756 35 8 18 5 +25 0 0.0001 0.0012 0.0000 56.750 11.234 47 8 42 8 0.0001 0.0012 0.0000 25.456 6.929 47 8 18 5 +26 0 0.0002 0.0012 0.0000 60.390 11.590 47 8 44 8 0.0001 0.0012 0.0000 26.750 7.101 47 8 18 5 +27 0 0.0002 0.0013 0.0000 64.803 12.069 57 9 92 17 0.0001 0.0013 0.0000 28.109 7.279 57 9 18 5 +28 0 0.0002 0.0013 0.0000 67.590 12.357 57 9 58 17 0.0001 0.0013 0.0000 29.470 7.454 57 9 18 5 +29 0 0.0003 0.0018 0.0000 70.283 12.770 43 9 19 7 0.0001 0.0018 0.0000 30.830 7.631 43 9 18 5 +30 0 0.0003 0.0018 0.0000 72.421 12.978 43 9 53 13 0.0001 0.0018 0.0000 32.172 7.804 43 9 18 5 +31 0 0.0003 0.0026 0.0000 74.762 13.217 56 9 43 8 0.0001 0.0026 0.0000 33.503 7.973 56 9 18 5 +32 0 0.0003 0.0031 0.0000 76.419 13.320 54 12 56 12 0.0001 0.0031 0.0000 34.803 8.135 54 12 18 5 +33 0 0.0003 0.0031 0.0000 78.075 13.521 54 12 66 11 0.0001 0.0031 0.0000 36.076 8.293 54 12 18 5 +34 0 0.0004 0.0059 0.0000 80.346 13.733 38 8 81 16 0.0001 0.0059 0.0000 37.341 8.449 38 8 18 5 +35 0 0.0005 0.0065 0.0000 81.098 13.765 88 14 95 14 0.0001 0.0065 0.0000 38.557 8.596 88 14 18 5 +36 0 0.0006 0.0338 0.0000 82.641 13.819 41 8 102 16 0.0001 0.0338 0.0000 39.748 8.737 41 8 18 5 +37 0 0.0007 0.0338 0.0000 82.141 13.698 41 8 24 8 0.0001 0.0338 0.0000 40.864 8.868 41 8 18 5 +38 0 0.0010 0.0365 0.0000 81.316 13.599 46 9 58 8 0.0002 0.0365 0.0000 41.901 8.989 46 9 18 5 +39 0 0.0017 0.0378 0.0000 80.223 13.419 45 8 74 12 0.0002 0.0378 0.0000 42.859 9.100 45 8 18 5 +40 0 0.0024 0.0381 0.0000 81.630 13.675 49 9 97 13 0.0003 0.0381 0.0000 43.805 9.212 49 9 18 5 +41 0 0.0032 0.0598 0.0000 85.478 14.206 130 17 79 11 0.0003 0.0598 0.0000 44.797 9.330 130 17 18 5 +42 0 0.0038 0.0606 0.0000 87.181 14.449 137 17 41 9 0.0004 0.0606 0.0000 45.782 9.450 137 17 18 5 +43 0 0.0054 0.0619 0.0000 90.079 14.794 119 16 36 8 0.0005 0.0619 0.0000 46.789 9.571 119 16 18 5 +44 0 0.0112 0.1107 0.0000 96.085 15.039 129 17 91 13 0.0008 0.1107 0.0000 47.885 9.692 129 17 18 5 +45 0 0.0228 0.1107 0.0000 109.693 15.242 129 17 126 16 0.0012 0.1107 0.0000 49.228 9.813 129 17 18 5 +46 0 0.0300 0.1110 0.0000 120.218 15.406 124 17 42 8 0.0019 0.1110 0.0000 50.739 9.932 124 17 18 5 +47 0 0.0327 0.1117 0.0000 124.767 15.517 104 14 61 9 0.0025 0.1117 0.0000 52.281 10.048 104 14 18 5 +48 0 0.0329 0.1117 0.0000 126.298 15.491 128 17 150 17 0.0031 0.1117 0.0000 53.792 10.160 128 17 18 5 +49 0 0.0331 0.1120 0.0000 127.974 15.459 125 17 131 17 0.0037 0.1120 0.0000 55.275 10.266 125 17 18 5 +50 0 0.0340 0.1129 0.0000 129.480 15.452 127 17 138 17 0.0043 0.1129 0.0000 56.730 10.367 127 17 18 5 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.sys new file mode 100644 index 0000000..9b14b66 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_3/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 324. +creating initial population(s): + 5577 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 291771405 + freed: 290768805 + not freed: 1002600 + max allocated: 14668868 + malloc'ed blocks: 748847 + realloc'ed blocks: 12 + free'ed blocks: 748697 + +------- time ------- + overall: 5s wall + evaluation: 5s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 144246 + freed: 144246 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.bst new file mode 100644 index 0000000..db2eacb --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.bst @@ -0,0 +1,51 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 123 + depth: 17 + hits: 72 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 72 + raw fitness: 13.5050 + standardized fitness: 13.5050 + adjusted fitness: 0.0689 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.78444 + (- (* x x) + (- x x)))) + (/ (* (* (sin 0.25481) + (+ -0.94474 x)) + (- (- x -0.78444) x)) + (exp (* -0.12710 + (log (- x + (+ (/ (- -0.78444 + (* (* (+ (* (log (+ x x)) + (* (/ -0.36005 x) + (/ x 0.81104))) + (log (* 0.07855 + (/ x x)))) + (cos -0.49811)) + (* -0.40549 + (- (log -0.41531) + (sin 0.90664))))) + (* (exp x) + (cos (* (+ (- x + (* (- x -0.13610) + (* (+ 0.53905 x) + (- -0.45287 x)))) + (exp x)) + (/ (+ x x) + (+ (/ (log (/ x + (cos 0.24426))) + (cos (cos x))) + (exp (/ (- -0.45287 x) + (- (cos x) + (exp -0.49588)))))))))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) +TREE-equ: +y = ((((0.53905 + x) * (-0.45287 - x)) * (-0.78444 - ((x * x) - (x - x)))) + (((sin(0.25481) * (-0.94474 + x)) * ((x - -0.78444) - x)) / exp((-0.12710 * log((x - (((-0.78444 - ((((log((x + x)) * ((-0.36005 / x) * (x / 0.81104))) + log((0.07855 * (x / x)))) * cos(-0.49811)) * (-0.40549 * (log(-0.41531) - sin(0.90664))))) / (exp(x) * cos((((x - ((x - -0.13610) * ((0.53905 + x) * (-0.45287 - x)))) + exp(x)) * ((x + x) / ((log((x / cos(0.24426))) / cos(cos(x))) + exp(((-0.45287 - x) / (cos(x) - exp(-0.49588)))))))))) + sin(exp(log(cos((x / 0.56448)))))))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.fn new file mode 100644 index 0000000..50ee044 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.fn @@ -0,0 +1,2 @@ + +y = ((((0.53905 + x) * (-0.45287 - x)) * (-0.78444 - ((x * x) - (x - x)))) + (((sin(0.25481) * (-0.94474 + x)) * ((x - -0.78444) - x)) / exp((-0.12710 * log((x - (((-0.78444 - ((((log((x + x)) * ((-0.36005 / x) * (x / 0.81104))) + log((0.07855 * (x / x)))) * cos(-0.49811)) * (-0.40549 * (log(-0.41531) - sin(0.90664))))) / (exp(x) * cos((((x - ((x - -0.13610) * ((0.53905 + x) * (-0.45287 - x)))) + exp(x)) * ((x + x) / ((log((x / cos(0.24426))) / cos(cos(x))) + exp(((-0.45287 - x) / (cos(x) - exp(-0.49588)))))))))) + sin(exp(log(cos((x / 0.56448)))))))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.his new file mode 100644 index 0000000..fec5d5d --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.his @@ -0,0 +1,1420 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 31 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7297.2375 + standardized fitness: 7297.2375 + adjusted fitness: 0.0001 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (+ x 0.37279)) + (- (* x x) + (- x x)))) + (+ (* (sin (log x)) x) + (sin (- (log -0.32815) + (- x 0.74305))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 31 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7297.2375 + standardized fitness: 7297.2375 + adjusted fitness: 0.0001 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (+ x 0.37279)) + (- (* x x) + (- x x)))) + (+ (* (sin (log x)) x) + (sin (- (log -0.32815) + (- x 0.74305))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6579.0036 + standardized fitness: 6579.0036 + adjusted fitness: 0.0002 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (log x)) + (- (* x x) + (- x x)))) + (+ (* (sin (log x)) x) + (cos 0.93948))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6533.0093 + standardized fitness: 6533.0093 + adjusted fitness: 0.0002 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (log x)) + (- (* x x) + (- x x)))) + (+ (* (- x 0.17067) x) + (cos 0.93948))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6533.0093 + standardized fitness: 6533.0093 + adjusted fitness: 0.0002 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (log x)) + (- (* x x) + (- x x)))) + (+ (* (- x 0.17067) x) + (cos 0.93948))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 96 + depth: 13 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6230.4721 + standardized fitness: 6230.4721 + adjusted fitness: 0.0002 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (+ x 0.37279)) + (- (* x x) + (- (log (exp (/ x + (log 0.26288)))) + (sin (+ (+ (/ (* (exp x) + (log (cos (* x 0.72486)))) x) x) + (log (/ (/ (- (/ (+ 0.49007 0.08089) + (* -0.67376 x)) + (+ (log 0.67930) + (+ x x))) + (- (cos (/ x -0.87370)) + (/ (* 0.05360 x) + (* x -0.04330)))) + (sin (* (exp (+ 0.32408 -0.40484)) + (- (+ x 0.04091) + (cos -0.85319)))))))))))) + (+ (* (sin (log x)) x) + (sin (- (log -0.32815) + (+ (* 0.16367 + (log (/ 0.50566 x))) + (exp -0.77295)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 29 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5142.9586 + standardized fitness: 5142.9586 + adjusted fitness: 0.0002 +TREE: + (+ (* (/ (log x) -0.08776) + (- (sin (cos (log (cos x)))) + (- (* x + (+ (sin (sin 0.87918)) x)) + (- x x)))) + (+ (* (sin 0.78209) x) x)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 28 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4548.7372 + standardized fitness: 4548.7372 + adjusted fitness: 0.0002 +TREE: + (+ (* (/ (log x) -0.08776) + (- (cos (/ x + (* (exp x) x))) + (- (* x x) + (- x x)))) + (* (log x) + (exp (- x -0.63957)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 62 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3841.9438 + standardized fitness: 3841.9438 + adjusted fitness: 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generation: 10 + nodes: 30 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 767.7254 + standardized fitness: 767.7254 + adjusted fitness: 0.0013 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- (cos (+ x 0.37279)) + (- (* x x) + (- x x)))) + (sin (log (- x + (+ (- 0.84717 0.87987) x))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 30 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 767.7254 + standardized fitness: 767.7254 + adjusted fitness: 0.0013 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- (cos (+ x 0.37279)) + (- (* x x) + (- x x)))) + (sin (log (- x + (+ (- 0.84717 0.87987) x))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 38 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 676.5610 + standardized fitness: 676.5610 + adjusted fitness: 0.0015 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- (cos (+ x + (+ (* 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hits: 5 + raw fitness: 167.0065 + standardized fitness: 167.0065 + adjusted fitness: 0.0060 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.66627 + (- (* x x) + (- x x)))) + (sin (log (+ (log (exp (/ x + (log 0.26288)))) + (sin (log -0.15460)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 23 + depth: 5 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 117.6384 + standardized fitness: 117.6384 + adjusted fitness: 0.0084 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- (* 0.94106 -0.90000) + (- (* x x) + (- x x)))) + (sin (log -0.75421))) +=== BEST-OF-RUN === + current generation: 17 + generation: 16 + nodes: 23 + depth: 5 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 117.6384 + standardized fitness: 117.6384 + adjusted fitness: 0.0084 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- (* 0.94106 -0.90000) + (- (* x x) + (- x x)))) + (sin (log -0.75421))) +=== BEST-OF-RUN === + current generation: 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(sin (exp x)) + (sin (cos -0.66221))) + (cos (* (+ (- x + (* (- x -0.13610) + (* (+ 0.53905 x) + (- -0.45287 x)))) + (exp x)) + (/ (+ x x) + (+ (/ (log (/ x + (cos 0.24426))) + (cos (cos x))) + (exp (/ (+ (cos -0.92695) + (sin -0.94591)) + (- (cos x) + (exp -0.49588)))))))))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 112 + depth: 17 + hits: 19 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 19 + raw fitness: 21.3280 + standardized fitness: 21.3280 + adjusted fitness: 0.0448 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.78444 + (- (* x x) + (- x x)))) + (/ (* (* (sin 0.25481) + (+ -0.94474 x)) + (- (- x -0.78444) x)) + (exp (* -0.12710 + (log (- x + (+ (/ (- -0.78444 + (* (* (cos (log -0.64138)) + (cos -0.49811)) + (* -0.40549 + (- (log -0.41531) + (sin 0.90664))))) + (* (/ (sin (exp x)) + (sin (cos -0.66221))) + (cos (* (+ (- x + (* (- x -0.13610) + (* (+ 0.53905 x) + (- -0.45287 x)))) + (exp x)) + (/ (+ x x) + (+ (/ (log (/ x + (cos 0.24426))) + (cos (cos x))) + (exp (/ (- -0.45287 x) + (- (cos x) + (exp -0.49588)))))))))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 47 + nodes: 120 + depth: 17 + hits: 24 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 24 + raw fitness: 20.8015 + standardized fitness: 20.8015 + adjusted fitness: 0.0459 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.78444 + (- (* x x) + (- x x)))) + (/ (* (* (sin 0.25481) + (+ -0.94474 x)) + (- (- x -0.78444) x)) + (exp (* -0.12710 + (log (- x + (+ (/ (- -0.78444 + (* (* (cos (log -0.64138)) + (cos -0.49811)) + (* -0.40549 + (- (log -0.41531) + (sin 0.90664))))) + (* (/ (sin (exp x)) + (sin (cos -0.66221))) + (cos (* (+ (- x + (* (- x -0.13610) + (* (+ 0.53905 x) + (- -0.45287 x)))) + (exp x)) + (/ (+ x x) + (+ (/ (log (/ x + (cos 0.24426))) + (* (- (* x x) + (- x x)) x)) + (exp (/ (+ (cos -0.92695) + (sin -0.94591)) + (- (cos x) + (exp -0.49588)))))))))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 121 + depth: 17 + hits: 59 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 59 + raw fitness: 17.0922 + standardized fitness: 17.0922 + adjusted fitness: 0.0553 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.78444 + (- (* x x) + (- x x)))) + (/ (* (* (sin 0.25481) + (+ -0.94474 x)) + (- (- x -0.78444) x)) + (exp (* -0.12710 + (log (- x + (+ (/ (sin (- (exp (- x + (sin 0.06940))) + (* (sin 0.25481) + (+ -0.94474 x)))) + (* (/ (sin (exp x)) + (sin (exp (/ (- (cos x) + (cos -0.19791)) x)))) + (cos (* (+ (- x + (* (- x -0.13610) + (* (+ 0.53905 x) + (- -0.45287 x)))) + (exp x)) + (/ (+ x + (+ (- 0.55204 x) -0.49811)) + (+ (/ (log (/ x + (cos 0.24426))) + (cos (cos x))) + (exp (/ (+ (cos -0.92695) + (sin -0.94591)) + (- (cos x) + (exp -0.49588)))))))))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 84 + depth: 15 + hits: 21 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 21 + raw fitness: 13.8491 + standardized fitness: 13.8491 + adjusted fitness: 0.0673 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.78444 + (- (* x x) + (- x x)))) + (/ (* (* (sin 0.25481) + (+ -0.94474 x)) + (- (- x -0.78444) x)) + (exp (* -0.12710 + (log (- x + (+ (/ (- -0.78444 + (* (* (+ (+ -0.20390 + (- (log x) + (- x x))) + (exp (cos (sin -0.44043)))) + (* (sin x) x)) + (* -0.40549 + (- (log -0.41531) + (sin 0.90664))))) + (* (/ (sin (exp x)) + (sin (cos -0.66221))) + (cos 0.11958))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 123 + depth: 17 + hits: 72 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 72 + raw fitness: 13.5050 + standardized fitness: 13.5050 + adjusted fitness: 0.0689 +TREE: + (+ (* (* (+ 0.53905 x) + (- -0.45287 x)) + (- -0.78444 + (- (* x x) + (- x x)))) + (/ (* (* (sin 0.25481) + (+ -0.94474 x)) + (- (- x -0.78444) x)) + (exp (* -0.12710 + (log (- x + (+ (/ (- -0.78444 + (* (* (+ (* (log (+ x x)) + (* (/ -0.36005 x) + (/ x 0.81104))) + (log (* 0.07855 + (/ x x)))) + (cos -0.49811)) + (* -0.40549 + (- (log -0.41531) + (sin 0.90664))))) + (* (exp x) + (cos (* (+ (- x + (* (- x -0.13610) + (* (+ 0.53905 x) + (- -0.45287 x)))) + (exp x)) + (/ (+ x x) + (+ (/ (log (/ x + (cos 0.24426))) + (cos (cos x))) + (exp (/ (- -0.45287 x) + (- (cos x) + (exp -0.49588)))))))))) + (sin (exp (log (cos (/ x 0.56448)))))))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.prg new file mode 100644 index 0000000..ffc1832 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.21870, y = 0.27928 + x = -0.33569, y = -0.24813 + x = -1.92730, y = 8.42568 + x = 1.14854, y = 5.72288 + x = 1.62321, y = 15.47713 + x = -4.54985, y = 350.50283 + x = 0.43525, y = 0.74304 + x = 4.54420, y = 545.44378 + x = 2.17454, y = 39.54539 + x = -3.00661, y = 60.57021 + x = 4.14334, y = 387.15615 + x = 0.26212, y = 0.35356 + x = 2.50841, y = 64.17488 + x = -2.08370, y = 12.06241 + x = -0.11056, y = -0.09954 + x = 2.94851, y = 112.85619 + x = 0.33393, y = 0.49511 + x = -0.22416, y = -0.18265 + x = 0.11817, y = 0.13398 + x = 3.06682, y = 129.77824 + x = -3.23578, y = 82.98181 + x = 1.65077, y = 16.30014 + x = 2.20503, y = 41.42871 + x = 4.04077, y = 352.94302 + x = -0.68793, y = -0.31628 + x = 2.86650, y = 102.15289 + x = -0.74728, y = -0.29432 + x = 4.23078, y = 418.25120 + x = -0.95381, y = -0.08414 + x = -0.62862, y = -0.32571 + x = -2.25131, y = 17.09520 + x = 3.49325, y = 207.23211 + x = -0.27518, y = -0.21456 + x = -0.10332, y = -0.09363 + x = 4.13111, y = 382.94836 + x = -0.68044, y = -0.31812 + x = 3.36800, y = 181.58973 + x = 0.00248, y = 0.00249 + x = 2.93462, y = 110.98640 + x = 4.35593, y = 465.99749 + x = 2.15140, y = 38.16100 + x = -2.02497, y = 10.58627 + x = 3.90288, y = 310.61320 + x = 2.29631, y = 47.48276 + x = -2.35264, y = 20.79594 + x = 3.17356, y = 146.64293 + x = 3.31189, y = 170.91732 + x = 3.11709, y = 137.52512 + x = -2.00559, y = 10.12912 + x = -3.94357, y = 192.13595 + x = -1.72744, y = 5.00639 + x = 0.03074, y = 0.03172 + x = -4.39456, y = 303.00715 + x = 2.92386, y = 109.55384 + x = 4.18314, y = 401.08461 + x = 1.72545, y = 18.70315 + x = 4.93949, y = 745.14430 + x = 3.17602, y = 147.04911 + x = 2.01743, y = 30.86359 + x = -2.69635, y = 37.82798 + x = -2.91786, y = 53.24003 + x = -4.56723, y = 356.14496 + x = -3.39042, y = 101.26578 + x = 2.81861, y = 96.27139 + x = -0.15801, y = -0.13636 + x = 1.16831, y = 5.99105 + x = 1.35924, y = 9.13147 + x = -4.78789, y = 433.88559 + x = -4.73106, y = 412.75275 + x = 1.71588, y = 18.38060 + x = 4.63662, y = 587.98954 + x = 2.21684, y = 42.17668 + x = -3.21857, y = 81.11225 + x = -0.93826, y = -0.10892 + x = -0.20574, y = -0.17033 + x = 1.73348, y = 18.97703 + x = 1.04533, y = 4.47429 + x = 4.28116, y = 437.00486 + x = 4.85763, y = 699.87460 + x = 2.58662, y = 71.34782 + x = 2.92701, y = 109.97122 + x = 1.07671, y = 4.82820 + x = -2.78665, y = 43.64105 + x = -3.25746, y = 85.38237 + x = -2.71077, y = 38.71491 + x = -2.68408, y = 37.08494 + x = 1.88367, y = 24.70548 + x = 1.90622, y = 25.66990 + x = -4.94531, y = 496.66822 + x = -2.03721, y = 10.88240 + x = 2.96032, y = 114.46499 + x = 3.15590, y = 143.74267 + x = -0.26646, y = -0.20933 + x = -3.78125, y = 160.88231 + x = 4.71931, y = 628.13508 + x = 4.93456, y = 742.35830 + x = -3.80640, y = 165.45352 + x = -0.15886, y = -0.13700 + x = -2.49795, y = 27.08984 + x = 0.91388, y = 3.20986 + x = -2.87176, y = 49.70515 + x = 4.03072, y = 349.72000 + x = 3.25946, y = 161.38354 + x = 0.40779, y = 0.66954 + x = -1.87058, y = 7.32671 + x = 2.19585, y = 40.85499 + x = -2.18261, y = 14.87723 + x = 3.86290, y = 299.09334 + x = 0.63463, y = 1.45519 + x = 1.86722, y = 24.01953 + x = 4.84178, y = 691.35396 + x = -1.96673, y = 9.25548 + x = 3.12133, y = 138.19396 + x = -0.94536, y = -0.09781 + x = -0.65667, y = -0.32267 + x = -1.07375, y = 0.17050 + x = 0.69922, y = 1.76904 + x = -4.60917, y = 370.04124 + x = 3.09930, y = 134.74419 + x = -0.09257, y = -0.08472 + x = -0.02529, y = -0.02467 + x = -3.48189, y = 113.40985 + x = 2.71006, y = 83.89858 + x = -0.64494, y = -0.32424 + x = -0.41236, y = -0.28352 + x = -4.39410, y = 302.87610 + x = 3.95738, y = 326.85601 + x = 1.37364, y = 9.41271 + x = -4.06768, y = 218.94499 + x = 2.59841, y = 72.47964 + x = -1.08392, y = 0.19783 + x = 2.18243, y = 40.02628 + x = -1.35347, y = 1.35478 + x = -2.00959, y = 10.22235 + x = 2.74485, y = 87.72327 + x = -0.10626, y = -0.09605 + x = 2.95538, y = 113.79023 + x = 3.15871, y = 144.20184 + x = 2.39921, y = 55.09979 + x = 3.36299, y = 180.61607 + x = 1.61670, y = 15.28749 + x = 1.49284, y = 12.01482 + x = 3.80692, y = 283.50795 + x = 0.14726, y = 0.17261 + x = 2.98809, y = 118.31741 + x = 1.44221, y = 10.84821 + x = -4.55416, y = 351.89432 + x = -4.62151, y = 374.20865 + x = 1.63110, y = 15.70942 + x = 4.11341, y = 376.92423 + x = -4.02282, y = 208.94987 + x = -0.18003, y = -0.15241 + x = -1.09118, y = 0.21797 + x = -0.09636, y = -0.08788 + x = -3.00220, y = 60.18916 + x = -0.05419, y = -0.05140 + x = 0.38419, y = 0.61029 + x = 0.26905, y = 0.36616 + x = 2.66294, y = 78.92358 + x = 3.23568, y = 157.19541 + x = 4.24047, y = 421.81096 + x = -0.34132, y = -0.25101 + x = -3.53631, y = 121.13314 + x = 2.27164, y = 45.78370 + x = -4.74948, y = 419.51455 + x = -1.65106, y = 4.00526 + x = -0.77364, y = -0.27993 + x = -2.02593, y = 10.60936 + x = 1.06655, y = 4.71128 + x = 2.90112, y = 106.57270 + x = -1.51959, y = 2.61282 + x = 0.32073, y = 0.46718 + x = -1.24027, y = 0.75640 + x = 3.98589, y = 335.60460 + x = -1.06975, y = 0.16001 + x = -4.84526, y = 456.02986 + x = 2.60929, y = 73.53709 + x = -2.19358, y = 15.21661 + x = -2.64275, y = 34.66200 + x = 4.64183, y = 590.45936 + x = 0.22171, y = 0.28418 + x = -1.31167, y = 1.11218 + x = 3.71070, y = 258.16642 + x = -2.30336, y = 18.92980 + x = 3.35793, y = 179.63885 + x = 4.25740, y = 428.08190 + x = 0.71874, y = 1.87346 + x = 1.37489, y = 9.43758 + x = -2.26011, y = 17.39585 + x = -0.60409, y = -0.32644 + x = -4.33262, y = 285.48188 + x = -0.01869, y = -0.01834 + x = -2.90784, y = 52.45625 + x = 4.49809, y = 525.10580 + x = -0.11742, y = -0.10506 + x = -3.70404, y = 147.43226 + x = -2.26689, y = 17.63003 + x = 4.82103, y = 680.32125 + x = -3.78299, y = 161.19399 + x = 2.83335, y = 98.05348 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.stt new file mode 100644 index 0000000..f28b368 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.932 3.628 31 5 31 6 0.0000 0.0001 0.0000 12.932 3.628 31 5 31 6 +1 0 0.0000 0.0001 0.0000 12.883 4.077 31 5 26 6 0.0000 0.0001 0.0000 12.907 3.853 31 5 31 6 +2 0 0.0000 0.0002 0.0000 13.536 4.386 25 5 21 8 0.0000 0.0002 0.0000 13.117 4.031 25 5 31 6 +3 0 0.0000 0.0002 0.0000 13.886 4.641 25 5 6 4 0.0000 0.0002 0.0000 13.309 4.183 25 5 31 6 +4 0 0.0000 0.0002 0.0000 14.787 4.954 25 5 11 7 0.0000 0.0002 0.0000 13.605 4.337 25 5 31 6 +5 0 0.0000 0.0002 0.0000 15.790 5.236 96 13 24 8 0.0000 0.0002 0.0000 13.969 4.487 96 13 31 6 +6 0 0.0000 0.0002 0.0000 17.269 5.549 29 8 4 3 0.0000 0.0002 0.0000 14.440 4.639 29 8 31 6 +7 0 0.0000 0.0002 0.0000 19.248 5.938 28 7 8 5 0.0000 0.0002 0.0000 15.041 4.801 28 7 31 6 +8 0 0.0001 0.0003 0.0000 22.829 6.454 62 9 36 8 0.0000 0.0003 0.0000 15.907 4.985 62 9 31 6 +9 0 0.0001 0.0003 0.0000 27.521 7.115 73 12 12 6 0.0000 0.0003 0.0000 17.068 5.198 73 12 31 6 +10 0 0.0001 0.0013 0.0000 33.756 7.950 30 6 25 9 0.0000 0.0013 0.0000 18.585 5.448 30 6 31 6 +11 0 0.0001 0.0013 0.0000 40.440 8.811 30 6 64 11 0.0001 0.0013 0.0000 20.406 5.728 30 6 31 6 +12 0 0.0001 0.0015 0.0000 46.852 9.619 38 9 60 10 0.0001 0.0015 0.0000 22.441 6.028 38 9 31 6 +13 0 0.0002 0.0019 0.0000 50.837 10.063 29 6 57 10 0.0001 0.0019 0.0000 24.469 6.316 29 6 31 6 +14 0 0.0003 0.0060 0.0000 50.138 9.878 30 8 27 5 0.0001 0.0060 0.0000 26.180 6.553 30 8 31 6 +15 0 0.0005 0.0060 0.0000 47.118 9.434 30 8 33 8 0.0001 0.0060 0.0000 27.489 6.733 30 8 31 6 +16 0 0.0007 0.0084 0.0000 46.163 9.311 23 5 54 11 0.0001 0.0084 0.0000 28.587 6.885 23 5 31 6 +17 0 0.0009 0.0084 0.0000 47.482 9.508 23 5 64 10 0.0002 0.0084 0.0000 29.637 7.031 23 5 31 6 +18 0 0.0011 0.0095 0.0000 49.019 9.772 29 7 38 8 0.0002 0.0095 0.0000 30.657 7.175 29 7 31 6 +19 0 0.0017 0.0095 0.0000 50.603 10.057 29 7 109 16 0.0003 0.0095 0.0000 31.654 7.319 29 7 31 6 +20 0 0.0024 0.0121 0.0000 51.379 10.280 22 5 32 9 0.0004 0.0121 0.0000 32.594 7.460 22 5 31 6 +21 0 0.0028 0.0121 0.0000 53.066 10.582 22 5 60 11 0.0005 0.0121 0.0000 33.524 7.602 22 5 31 6 +22 0 0.0032 0.0121 0.0000 55.852 10.975 22 5 33 7 0.0006 0.0121 0.0000 34.495 7.749 22 5 31 6 +23 0 0.0034 0.0151 0.0000 58.335 11.322 63 12 22 6 0.0008 0.0151 0.0000 35.488 7.898 63 12 31 6 +24 0 0.0036 0.0151 0.0000 61.250 11.637 63 12 120 15 0.0009 0.0151 0.0000 36.519 8.047 63 12 31 6 +25 0 0.0039 0.0151 0.0000 63.783 11.947 63 12 79 17 0.0010 0.0151 0.0000 37.567 8.197 63 12 31 6 +26 0 0.0040 0.0151 0.0000 66.009 12.130 63 12 116 17 0.0011 0.0151 0.0000 38.621 8.343 63 12 31 6 +27 0 0.0041 0.0151 0.0000 68.405 12.405 63 12 27 7 0.0012 0.0151 0.0000 39.685 8.488 63 12 31 6 +28 0 0.0043 0.0171 0.0000 71.051 12.640 27 5 88 14 0.0013 0.0171 0.0000 40.766 8.631 27 5 31 6 +29 0 0.0044 0.0171 0.0000 71.408 12.576 27 5 195 17 0.0014 0.0171 0.0000 41.788 8.762 27 5 31 6 +30 0 0.0044 0.0171 0.0000 72.418 12.677 27 5 125 15 0.0015 0.0171 0.0000 42.776 8.889 27 5 31 6 +31 0 0.0045 0.0171 0.0000 74.898 12.868 27 5 37 9 0.0016 0.0171 0.0000 43.779 9.013 27 5 31 6 +32 0 0.0046 0.0171 0.0000 76.678 13.043 27 5 112 17 0.0017 0.0171 0.0000 44.776 9.135 27 5 31 6 +33 0 0.0047 0.0171 0.0000 77.917 13.073 27 5 77 17 0.0018 0.0171 0.0000 45.751 9.251 27 5 31 6 +34 0 0.0047 0.0190 0.0000 79.837 13.243 33 9 96 16 0.0019 0.0190 0.0000 46.725 9.365 33 9 31 6 +35 0 0.0047 0.0190 0.0000 81.652 13.294 33 9 59 11 0.0019 0.0190 0.0000 47.695 9.474 33 9 31 6 +36 0 0.0048 0.0192 0.0000 83.486 13.363 41 11 84 16 0.0020 0.0192 0.0000 48.663 9.579 41 11 31 6 +37 0 0.0049 0.0265 0.0000 85.442 13.456 39 7 93 17 0.0021 0.0265 0.0000 49.630 9.681 39 7 31 6 +38 0 0.0050 0.0265 0.0000 86.044 13.491 39 7 68 11 0.0022 0.0265 0.0000 50.564 9.779 39 7 31 6 +39 0 0.0051 0.0265 0.0000 87.798 13.561 39 7 77 15 0.0022 0.0265 0.0000 51.495 9.874 39 7 31 6 +40 0 0.0051 0.0265 0.0000 88.443 13.595 39 7 47 8 0.0023 0.0265 0.0000 52.396 9.964 39 7 31 6 +41 0 0.0053 0.0265 0.0000 89.852 13.644 39 7 38 10 0.0024 0.0265 0.0000 53.288 10.052 39 7 31 6 +42 0 0.0055 0.0265 0.0000 90.872 13.758 39 7 58 15 0.0025 0.0265 0.0000 54.162 10.138 39 7 31 6 +43 0 0.0057 0.0274 0.0000 89.816 13.685 41 9 116 16 0.0025 0.0274 0.0000 54.972 10.219 41 9 31 6 +44 0 0.0060 0.0362 0.0000 88.170 13.605 37 5 68 15 0.0026 0.0362 0.0000 55.710 10.294 37 5 31 6 +45 0 0.0065 0.0405 0.0000 86.019 13.551 114 17 49 15 0.0027 0.0405 0.0000 56.369 10.365 114 17 31 6 +46 0 0.0071 0.0448 0.0000 82.540 13.449 112 17 63 17 0.0028 0.0448 0.0000 56.926 10.430 112 17 31 6 +47 0 0.0082 0.0459 0.0000 77.561 13.353 120 17 42 11 0.0029 0.0459 0.0000 57.356 10.491 120 17 31 6 +48 0 0.0094 0.0553 0.0000 73.202 13.276 121 17 28 7 0.0030 0.0553 0.0000 57.679 10.548 121 17 31 6 +49 0 0.0112 0.0673 0.0000 70.015 13.166 84 15 47 13 0.0032 0.0673 0.0000 57.926 10.601 84 15 31 6 +50 0 0.0141 0.0689 0.0000 72.395 13.441 123 17 46 14 0.0034 0.0689 0.0000 58.209 10.656 123 17 31 6 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.sys new file mode 100644 index 0000000..99c3426 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_4/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 148. +creating initial population(s): + 5602 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 294622433 + freed: 293619833 + not freed: 1002600 + max allocated: 10540032 + malloc'ed blocks: 747955 + realloc'ed blocks: 12 + free'ed blocks: 747805 + +------- time ------- + overall: 6s wall + evaluation: 2s wall + breeding: 3s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 142966 + freed: 142966 + allocated: 15500 + blocks: 30 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.bst new file mode 100644 index 0000000..f4d66e6 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.bst @@ -0,0 +1,60 @@ +=== BEST-OF-RUN === + generation: 33 + nodes: 156 + depth: 13 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.6437 + standardized fitness: 0.6437 + adjusted fitness: 0.6084 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- (sin (/ (- (sin x) + (sin x)) + (/ (exp 0.97421) x))) + (+ (log (cos (sin 0.08027))) + (* (* x x) + (+ (/ x x) x)))))) + (* (* (log (- (exp x) + (* (* (sin (sin (sin (* 0.60474 0.59701)))) + (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x)))))) + (* 0.55794 0.68544)))) + (- x x)) + (- (cos (+ -0.49206 + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x)))))) + (* (log (* (* (cos (- 0.66241 x)) + (- (- x x) x)) + (+ -0.92982 + (log x)))) + (exp (* (* (- x + (sin (/ (+ -0.60243 + (* (* x x) -0.01133)) + (+ (+ (sin 0.85234) + (exp x)) x)))) x) + (cos (log (- (- (sin (sin (sin x))) + (- x x)) + (+ (/ x + (exp 0.12762)) + (+ x + (/ (cos x) + (log x))))))))))))) +TREE-equ: +y = ((x + (((x * x) * (x * x)) - (sin(((sin(x) - sin(x)) / (exp(0.97421) / x))) - (log(cos(sin(0.08027))) + ((x * x) * ((x / x) + x)))))) + ((log((exp(x) - ((sin(sin(sin((0.60474 * 0.59701)))) * (cos(0.34951) - ((x / exp(0.12762)) + ((0.33118 - cos(0.17688)) + (cos(x) / log(x)))))) * (0.55794 * 0.68544)))) * (x - x)) * (cos((-0.49206 + ((x / exp(0.12762)) + ((0.33118 - cos(0.17688)) + (cos(x) / log(x)))))) - (log(((cos((0.66241 - x)) * ((x - x) - x)) * (-0.92982 + log(x)))) * exp((((x - sin(((-0.60243 + ((x * x) * -0.01133)) / ((sin(0.85234) + exp(x)) + x)))) * x) * cos(log(((sin(sin(sin(x))) - (x - x)) - ((x / exp(0.12762)) + (x + (cos(x) / log(x))))))))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.fn new file mode 100644 index 0000000..dff7df5 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.fn @@ -0,0 +1,2 @@ + +y = ((x + (((x * x) * (x * x)) - (sin(((sin(x) - sin(x)) / (exp(0.97421) / x))) - (log(cos(sin(0.08027))) + ((x * x) * ((x / x) + x)))))) + ((log((exp(x) - ((sin(sin(sin((0.60474 * 0.59701)))) * (cos(0.34951) - ((x / exp(0.12762)) + ((0.33118 - cos(0.17688)) + (cos(x) / log(x)))))) * (0.55794 * 0.68544)))) * (x - x)) * (cos((-0.49206 + ((x / exp(0.12762)) + ((0.33118 - cos(0.17688)) + (cos(x) / log(x)))))) - (log(((cos((0.66241 - x)) * ((x - x) - x)) * (-0.92982 + log(x)))) * exp((((x - sin(((-0.60243 + ((x * x) * -0.01133)) / ((sin(0.85234) + exp(x)) + x)))) * x) * cos(log(((sin(sin(sin(x))) - (x - x)) - ((x / exp(0.12762)) + (x + (cos(x) / log(x))))))))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.his new file mode 100644 index 0000000..ab73e32 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.his @@ -0,0 +1,954 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 30 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10363.8669 + standardized fitness: 10363.8669 + adjusted fitness: 0.0001 +TREE: + (- (* (+ (sin (log -0.99319)) + (- (log 0.82655) + (log x))) + (sin (* (* x x) + (sin 0.41331)))) + (* (exp (log (exp x))) + (* (log (log -0.97743)) + (exp (cos -0.99176))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 16 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10095.2063 + standardized fitness: 10095.2063 + adjusted fitness: 0.0001 +TREE: + (* (exp x) + (log (/ (/ (exp x) + (log x)) + (/ (sin -0.82079) + (+ x x))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 15 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8472.0313 + standardized fitness: 8472.0313 + adjusted fitness: 0.0001 +TREE: + (- (* (* x x) + (* x x)) + (- (- x x) + (/ -0.68705 0.03238))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 32 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5904.9534 + standardized fitness: 5904.9534 + adjusted fitness: 0.0002 +TREE: + (* (- -0.46678 + (- (+ 0.68871 + (sin 0.24035)) + (* x x))) + (- (exp (* (log x) + (exp 0.77087))) + (* (* (* x x) + (- x x)) + (* (exp -0.72505) + (+ x x))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 32 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5904.9534 + standardized fitness: 5904.9534 + adjusted fitness: 0.0002 +TREE: + (* (- -0.46678 + (- (+ 0.68871 + (sin 0.24035)) + (* x x))) + (- (exp (* (log x) + (exp 0.77087))) + (* (* (* x x) + (- x x)) + (* (exp -0.72505) + (+ x x))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 21 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5323.7861 + standardized fitness: 5323.7861 + adjusted fitness: 0.0002 +TREE: + (* (- -0.46678 + (- (+ 0.68871 + (sin 0.24035)) + (* x x))) + (- (exp (* (log x) + (exp 0.77087))) + (sin (sin x)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 20 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4820.0860 + standardized fitness: 4820.0860 + adjusted fitness: 0.0002 +TREE: + (* (- -0.46678 + (- (* -0.15469 x) + (* x x))) + (- (exp (* (log x) + (exp 0.77087))) + (sin (sin x)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1236.3746 + standardized fitness: 1236.3746 + adjusted fitness: 0.0008 +TREE: + (* (* (+ x + (* x x)) + (* (/ x -0.65586) + (/ x 0.33932))) -0.24688) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1236.3746 + standardized fitness: 1236.3746 + adjusted fitness: 0.0008 +TREE: + (* (* (+ x + (* x x)) + (* (/ x -0.65586) + (/ x 0.33932))) -0.24688) +=== BEST-OF-RUN === + current generation: 9 + generation: 7 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1236.3746 + standardized fitness: 1236.3746 + adjusted fitness: 0.0008 +TREE: + (* (* (+ x + (* x x)) + (* (/ x -0.65586) + (/ x 0.33932))) -0.24688) +=== BEST-OF-RUN === + current generation: 10 + generation: 7 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1236.3746 + standardized fitness: 1236.3746 + adjusted fitness: 0.0008 +TREE: + (* (* (+ x + (* x x)) + (* (/ x -0.65586) + (/ x 0.33932))) -0.24688) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 44 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1213.3801 + standardized fitness: 1213.3801 + adjusted fitness: 0.0008 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- (- (- (* 0.80938 + (cos x)) + (exp (sin x))) x) + (/ -0.68705 + (- (exp x) + (* (* (cos (/ x -0.55488)) + (- x x)) + (* (exp -0.72505) + (+ x x)))))))) + (exp x)) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 50 + depth: 13 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1011.5127 + standardized fitness: 1011.5127 + adjusted fitness: 0.0010 +TREE: + (+ (+ x + (- (+ (+ x + (- (* (* x x) + (* x x)) + (- (- (- (* 0.80938 + (cos x)) + (exp (sin x))) x) + (/ -0.68705 + (- (exp x) + (* (* (cos (/ x -0.55488)) + (- x x)) + (* (exp -0.72505) + (+ x x)))))))) + (exp x)) 0.88074)) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 37 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 965.9164 + standardized fitness: 965.9164 + adjusted fitness: 0.0010 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ (cos (/ 0.24125 x)) + (* (- (* (* x x) + (cos -0.27562)) + (cos (sin -0.44813))) + (+ (exp (log -0.42986)) x)))))) + (- x x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 35 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 729.6162 + standardized fitness: 729.6162 + adjusted fitness: 0.0014 +TREE: + (+ (+ x + (- (* (* x x) + (- x + (- (cos x) + (* x x)))) + (- x + (- -0.93467 + (- (* (log x) + (/ x -0.48010)) + (+ (- -0.72466 x) 0.39771)))))) + (exp (cos 0.64190))) +=== BEST-OF-RUN === + current generation: 15 + generation: 14 + nodes: 35 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 729.6162 + standardized fitness: 729.6162 + adjusted fitness: 0.0014 +TREE: + (+ (+ x + (- (* (* x x) + (- x + (- (cos x) + (* x x)))) + (- x + (- -0.93467 + (- (* (log x) + (/ x -0.48010)) + (+ (- -0.72466 x) 0.39771)))))) + (exp (cos 0.64190))) +=== BEST-OF-RUN === + current generation: 16 + generation: 14 + nodes: 35 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 729.6162 + standardized fitness: 729.6162 + adjusted fitness: 0.0014 +TREE: + (+ (+ x + (- (* (* x x) + (- x + (- (cos x) + (* x x)))) + (- x + (- -0.93467 + (- (* (log x) + (/ x -0.48010)) + (+ (- -0.72466 x) 0.39771)))))) + (exp (cos 0.64190))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 40 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 671.4882 + standardized fitness: 671.4882 + adjusted fitness: 0.0015 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ (log (- (- x x) + (/ x -0.55488))) + (* (- (* (* x x) + (cos -0.27562)) + (cos (sin -0.44813))) + (+ (/ x x) x)))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 42 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 646.8170 + standardized fitness: 646.8170 + adjusted fitness: 0.0015 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ (log (- (exp (- x + (- 0.59275 0.04125))) + (/ x -0.55488))) + (* (- (* (* x x) + (cos -0.27562)) + (cos (sin -0.44813))) + (+ (log x) x)))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 46 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 598.5271 + standardized fitness: 598.5271 + adjusted fitness: 0.0017 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ (log (- (exp (- x + (- 0.59275 0.04125))) + (/ x -0.55488))) + (* (- (* (* x x) + (cos -0.27562)) + (cos (sin -0.44813))) + (+ (log x) x)))))) + (/ (* 0.34266 x) + (cos -0.08471))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 54 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 327.5747 + standardized fitness: 327.5747 + adjusted fitness: 0.0030 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ (log (- (* x x) + (sin (- 0.54492 0.64258)))) + (* (- (* (* x x) + (cos -0.27562)) + (cos (* (* x x) + (* (log (- 0.11662 0.83906)) + (- (exp -0.73114) + (+ 0.08092 -0.19322)))))) + (+ (/ x x) x)))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 72 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 301.0539 + standardized fitness: 301.0539 + adjusted fitness: 0.0033 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ (/ 0.15100 x) -0.39866) + (/ (+ (+ 0.10036 x) + (- (exp 0.30084) + (* -0.19567 x))) + (log (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x))))))))))) + (+ (cos (sin (+ -0.02056 0.00094))) + (+ x -0.19697))))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 22 + generation: 21 + nodes: 72 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 301.0539 + standardized fitness: 301.0539 + adjusted fitness: 0.0033 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ (/ 0.15100 x) -0.39866) + (/ (+ (+ 0.10036 x) + (- (exp 0.30084) + (* -0.19567 x))) + (log (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x))))))))))) + (+ (cos (sin (+ -0.02056 0.00094))) + (+ x -0.19697))))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 74 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 271.8274 + standardized fitness: 271.8274 + adjusted fitness: 0.0037 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ (/ 0.15100 x) -0.39866) + (/ (+ (+ 0.10036 x) + (- (exp 0.30084) + (* -0.19567 x))) + (log (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x))))))))))) + (+ (cos (sin (+ -0.02056 0.00094))) + (+ x -0.19697))))))) + (cos (- x x))) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 73 + depth: 17 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 224.1163 + standardized fitness: 224.1163 + adjusted fitness: 0.0044 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ (/ 0.15100 x) -0.39866) + (/ (+ (+ 0.10036 x) + (- (exp 0.30084) + (* -0.19567 x))) + (log (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x))))))))))) + (+ (cos (sin (+ -0.02056 0.00094))) + (+ x -0.19697))))))) + (- x x)) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 77 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 187.0809 + standardized fitness: 187.0809 + adjusted fitness: 0.0053 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ (log (- (* x x) -0.19086)) + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ (/ 0.15100 x) -0.39866) + (/ (+ (+ 0.10036 x) + (- (exp 0.30084) + (* -0.19567 x))) + (log (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x))))))))))) + (+ (cos (sin (+ -0.02056 0.00094))) + (+ x -0.19697))))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 38 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 98.9633 + standardized fitness: 98.9633 + adjusted fitness: 0.0100 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ 0.01846 -0.39866) x)))) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (cos x)) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 43 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 77.6303 + standardized fitness: 77.6303 + adjusted fitness: 0.0127 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ 0.01846 -0.39866) x)))) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (cos (log (exp (+ (log x) 0.73649))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 27 + nodes: 43 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 77.6303 + standardized fitness: 77.6303 + adjusted fitness: 0.0127 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ 0.01846 -0.39866) x)))) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (cos (log (exp (+ (log x) 0.73649))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 27 + nodes: 43 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 77.6303 + standardized fitness: 77.6303 + adjusted fitness: 0.0127 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ 0.01846 -0.39866) x)))) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (cos (log (exp (+ (log x) 0.73649))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 27 + nodes: 43 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 77.6303 + standardized fitness: 77.6303 + adjusted fitness: 0.0127 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ 0.01846 -0.39866) x)))) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (cos (log (exp (+ (log x) 0.73649))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 27 + nodes: 43 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 77.6303 + standardized fitness: 77.6303 + adjusted fitness: 0.0127 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (- (* (* x x) + (cos -0.27562)) + (cos (log (/ (+ 0.01846 -0.39866) x)))) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (cos (log (exp (+ (log x) 0.73649))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 32 + nodes: 31 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 37.5959 + standardized fitness: 37.5959 + adjusted fitness: 0.0259 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- 0.45245 + (+ 0.53145 + (* (* x x) + (+ (exp 0.19141) + (+ x -0.19697))))))) + (* (cos x) + (- x x))) +=== BEST-OF-RUN === + current generation: 33 + generation: 33 + nodes: 156 + depth: 13 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.6437 + standardized fitness: 0.6437 + adjusted fitness: 0.6084 +TREE: + (+ (+ x + (- (* (* x x) + (* x x)) + (- (sin (/ (- (sin x) + (sin x)) + (/ (exp 0.97421) x))) + (+ (log (cos (sin 0.08027))) + (* (* x x) + (+ (/ x x) x)))))) + (* (* (log (- (exp x) + (* (* (sin (sin (sin (* 0.60474 0.59701)))) + (- (cos 0.34951) + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x)))))) + (* 0.55794 0.68544)))) + (- x x)) + (- (cos (+ -0.49206 + (+ (/ x + (exp 0.12762)) + (+ (- 0.33118 + (cos 0.17688)) + (/ (cos x) + (log x)))))) + (* (log (* (* (cos (- 0.66241 x)) + (- (- x x) x)) + (+ -0.92982 + (log x)))) + (exp (* (* (- x + (sin (/ (+ -0.60243 + (* (* x x) -0.01133)) + (+ (+ (sin 0.85234) + (exp x)) x)))) x) + (cos (log (- (- (sin (sin (sin x))) + (- x x)) + (+ (/ x + (exp 0.12762)) + (+ x + (/ (cos x) + (log x))))))))))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.prg new file mode 100644 index 0000000..26251e1 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -2.98536, y = 58.75036 + x = 0.39262, y = 0.63105 + x = 0.21181, y = 0.26818 + x = 0.59352, y = 1.27893 + x = -3.46894, y = 111.62784 + x = 1.44367, y = 10.88052 + x = 0.40042, y = 0.65066 + x = -2.74733, y = 41.03375 + x = -0.63310, y = -0.32539 + x = 1.16938, y = 6.00583 + x = 0.28116, y = 0.38868 + x = -2.44813, y = 24.79264 + x = -4.42650, y = 312.35482 + x = 3.55745, y = 221.39446 + x = 2.65680, y = 78.29269 + x = 0.04276, y = 0.04467 + x = 4.25079, y = 425.62352 + x = -2.33273, y = 20.02649 + x = 3.86400, y = 299.40678 + x = -0.65831, y = -0.32242 + x = 4.32808, y = 455.03489 + x = -0.47697, y = -0.30622 + x = -2.96293, y = 56.87496 + x = -0.46926, y = -0.30390 + x = 0.48383, y = 0.88598 + x = 4.19755, y = 406.22064 + x = 4.18645, y = 402.25948 + x = -3.24266, y = 83.73850 + x = 1.03028, y = 4.31215 + x = -3.76451, y = 157.89003 + x = 0.58402, y = 1.24064 + x = 3.72209, y = 261.07375 + x = -1.78883, y = 5.92636 + x = -1.17173, y = 0.47750 + x = 1.58915, y = 14.50547 + x = 4.36254, y = 468.62999 + x = 4.42700, y = 494.87997 + x = -3.87473, y = 178.37099 + x = 0.66061, y = 1.57574 + x = -0.70028, y = -0.31281 + x = -2.94290, y = 55.23694 + x = 3.28618, y = 166.19013 + x = 3.96075, y = 327.88195 + x = -0.58235, y = -0.32570 + x = -0.40050, y = -0.27861 + x = -2.67324, y = 36.43802 + x = -3.95848, y = 195.21887 + x = -1.22443, y = 0.68680 + x = -1.50898, y = 2.51689 + x = 1.49501, y = 12.06706 + x = 0.51942, y = 1.00213 + x = -4.81882, y = 445.72070 + x = 0.42265, y = 0.70870 + x = -3.98599, y = 201.00471 + x = -1.10590, y = 0.26035 + x = -1.70745, y = 4.72947 + x = -2.81856, y = 45.84574 + x = -3.61646, y = 133.21815 + x = 4.00436, y = 341.36770 + x = -2.83149, y = 46.76237 + x = 2.01667, y = 30.82564 + x = -0.72486, y = -0.30423 + x = 1.59206, y = 14.58660 + x = -4.93282, y = 491.45026 + x = -0.88772, y = -0.17822 + x = 1.99498, y = 29.75470 + x = -1.40888, y = 1.71949 + x = 1.15585, y = 5.82098 + x = -1.04205, y = 0.09141 + x = 0.33005, y = 0.48680 + x = -0.99876, y = -0.00248 + x = 0.47522, y = 0.85937 + x = 4.17625, y = 398.64521 + x = -2.63101, y = 33.99583 + x = 3.82227, y = 287.71998 + x = 4.14691, y = 388.38796 + x = 4.10037, y = 372.53286 + x = -3.97694, y = 199.08775 + x = -4.36336, y = 294.08261 + x = -2.80873, y = 45.15774 + x = 2.01611, y = 30.79752 + x = 2.80291, y = 94.40137 + x = -2.24703, y = 16.95029 + x = -1.13823, y = 0.36117 + x = -0.78118, y = -0.27525 + x = -3.69112, y = 145.26778 + x = -2.86997, y = 49.57150 + x = -1.85601, y = 7.06169 + x = 4.71599, y = 626.48540 + x = 4.59417, y = 568.14883 + x = 0.77142, y = 2.17970 + x = -1.72886, y = 5.02646 + x = 2.16733, y = 39.10986 + x = -4.66944, y = 390.72367 + x = -4.70153, y = 402.08152 + x = 1.58189, y = 14.30452 + x = 4.10993, y = 375.74838 + x = 1.59176, y = 14.57817 + x = 0.59538, y = 1.28654 + x = 0.45260, y = 0.79212 + x = -1.77362, y = 5.68837 + x = -4.98154, y = 512.03373 + x = -1.86107, y = 7.15296 + x = -3.70025, y = 146.79576 + x = 4.47890, y = 516.81538 + x = 2.71650, y = 84.59762 + x = 2.42821, y = 57.40653 + x = -3.43912, y = 107.60280 + x = 1.79519, y = 21.18907 + x = -2.41478, y = 23.33782 + x = -3.83747, y = 171.23808 + x = 4.03745, y = 351.87626 + x = -3.33245, y = 94.09127 + x = 4.41019, y = 487.93054 + x = 1.39709, y = 9.88570 + x = -1.25447, y = 0.82158 + x = 2.10782, y = 35.65486 + x = 1.26150, y = 7.39297 + x = 4.76871, y = 653.08830 + x = 2.53039, y = 66.13182 + x = 2.88505, y = 104.50281 + x = 1.99936, y = 29.96880 + x = -4.43952, y = 316.22811 + x = 3.50535, y = 209.84666 + x = -2.89633, y = 51.56685 + x = -1.01722, y = 0.03564 + x = -2.66371, y = 35.87569 + x = 2.87650, y = 103.41502 + x = -2.10991, y = 12.76698 + x = -3.89423, y = 182.19314 + x = -3.28130, y = 88.08299 + x = 2.53949, y = 66.95578 + x = -0.77213, y = -0.28084 + x = 3.05142, y = 127.47219 + x = -3.97125, y = 197.88949 + x = 2.97866, y = 116.99860 + x = 1.13536, y = 5.54959 + x = -1.65722, y = 4.08035 + x = 2.46468, y = 60.41265 + x = -4.52671, y = 343.09307 + x = -0.79894, y = -0.26317 + x = 0.86852, y = 2.84703 + x = -1.62472, y = 3.69432 + x = -2.81440, y = 45.55384 + x = -3.29087, y = 89.18487 + x = 3.77206, y = 274.11836 + x = -2.28934, y = 18.42195 + x = 3.66198, y = 246.00957 + x = 3.22689, y = 155.66788 + x = 1.31569, y = 8.32074 + x = -0.75440, y = -0.29073 + x = -3.76657, y = 158.25634 + x = -1.29833, y = 1.04022 + x = -0.51039, y = -0.31499 + x = -1.26610, y = 0.87698 + x = 0.68689, y = 1.70539 + x = 0.79059, y = 2.30046 + x = 0.08751, y = 0.09590 + x = -4.72900, y = 412.00122 + x = -3.49976, y = 115.90316 + x = -3.41886, y = 104.93111 + x = -0.91458, y = -0.14347 + x = -0.90380, y = -0.15797 + x = 1.32190, y = 8.43273 + x = 3.38416, y = 184.75477 + x = 0.29401, y = 0.41333 + x = 0.66217, y = 1.58325 + x = 4.48195, y = 518.12500 + x = 2.70106, y = 82.93080 + x = 2.62504, y = 75.08790 + x = -3.96513, y = 196.60567 + x = 3.44584, y = 197.22256 + x = 3.03461, y = 124.99212 + x = -1.54698, y = 2.87115 + x = -1.71521, y = 4.83567 + x = 1.65162, y = 16.32590 + x = -1.70231, y = 4.66010 + x = 1.07087, y = 4.76074 + x = -0.22855, y = -0.18552 + x = 1.41678, y = 10.29701 + x = 3.19219, y = 149.74826 + x = 2.24878, y = 44.25113 + x = 2.60550, y = 73.16750 + x = -3.61016, y = 132.23623 + x = 4.52463, y = 536.73828 + x = 2.63328, y = 75.90936 + x = -1.55671, y = 2.96678 + x = 2.90597, y = 107.20248 + x = 4.66726, y = 602.62990 + x = 0.73474, y = 1.96266 + x = -2.68351, y = 37.05111 + x = 1.65341, y = 16.38077 + x = 0.64172, y = 1.48738 + x = 4.83964, y = 690.21292 + x = 4.43842, y = 499.64527 + x = 0.75522, y = 2.08162 + x = 2.83391, y = 98.12204 + x = 4.92226, y = 735.43551 + x = 3.90081, y = 310.00828 + x = 0.05751, y = 0.06102 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.stt new file mode 100644 index 0000000..a115036 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.stt @@ -0,0 +1,35 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.166 3.680 30 5 7 5 0.0000 0.0001 0.0000 13.166 3.680 30 5 7 5 +1 0 0.0000 0.0001 0.0000 13.182 4.126 16 5 6 5 0.0000 0.0001 0.0000 13.174 3.903 16 5 7 5 +2 0 0.0000 0.0001 0.0000 13.924 4.472 15 3 11 4 0.0000 0.0001 0.0000 13.424 4.093 15 3 7 5 +3 0 0.0000 0.0002 0.0000 14.544 4.762 32 5 30 9 0.0000 0.0002 0.0000 13.704 4.260 32 5 7 5 +4 0 0.0000 0.0002 0.0000 15.316 5.001 32 5 7 5 0.0000 0.0002 0.0000 14.026 4.408 32 5 7 5 +5 0 0.0000 0.0002 0.0000 15.742 5.199 21 5 19 7 0.0000 0.0002 0.0000 14.312 4.540 21 5 7 5 +6 0 0.0000 0.0002 0.0000 16.516 5.423 20 5 77 9 0.0000 0.0002 0.0000 14.627 4.666 20 5 7 5 +7 0 0.0000 0.0008 0.0000 17.667 5.719 15 4 8 4 0.0000 0.0008 0.0000 15.007 4.798 15 4 7 5 +8 0 0.0000 0.0008 0.0000 18.659 5.862 15 4 29 8 0.0000 0.0008 0.0000 15.413 4.916 15 4 7 5 +9 0 0.0001 0.0008 0.0000 20.961 6.259 15 4 5 3 0.0000 0.0008 0.0000 15.968 5.050 15 4 7 5 +10 0 0.0001 0.0008 0.0000 23.922 6.733 15 4 41 9 0.0000 0.0008 0.0000 16.691 5.203 15 4 7 5 +11 0 0.0001 0.0008 0.0000 27.648 7.350 44 10 32 9 0.0000 0.0008 0.0000 17.604 5.382 44 10 7 5 +12 0 0.0001 0.0010 0.0000 32.620 8.160 50 13 62 13 0.0001 0.0010 0.0000 18.759 5.596 50 13 7 5 +13 0 0.0002 0.0010 0.0000 37.058 9.024 37 9 29 9 0.0001 0.0010 0.0000 20.066 5.841 37 9 7 5 +14 0 0.0002 0.0014 0.0000 42.077 9.976 35 8 79 12 0.0001 0.0014 0.0000 21.533 6.116 35 8 7 5 +15 0 0.0003 0.0014 0.0000 46.124 10.754 35 8 61 13 0.0001 0.0014 0.0000 23.070 6.406 35 8 7 5 +16 0 0.0003 0.0014 0.0000 49.408 11.361 35 8 63 14 0.0001 0.0014 0.0000 24.620 6.698 35 8 7 5 +17 0 0.0004 0.0015 0.0000 51.892 11.772 40 9 31 8 0.0001 0.0015 0.0000 26.135 6.980 40 9 7 5 +18 0 0.0004 0.0015 0.0000 54.548 12.120 42 10 51 13 0.0001 0.0015 0.0000 27.630 7.250 42 10 7 5 +19 0 0.0004 0.0017 0.0000 56.477 12.333 46 10 21 7 0.0001 0.0017 0.0000 29.072 7.504 46 10 7 5 +20 0 0.0004 0.0030 0.0000 58.125 12.485 54 12 34 9 0.0002 0.0030 0.0000 30.456 7.741 54 12 7 5 +21 0 0.0005 0.0033 0.0000 59.882 12.682 72 17 52 10 0.0002 0.0033 0.0000 31.793 7.966 72 17 7 5 +22 0 0.0005 0.0033 0.0000 61.326 12.807 72 17 57 11 0.0002 0.0033 0.0000 33.077 8.176 72 17 7 5 +23 0 0.0005 0.0037 0.0000 62.593 12.955 74 17 51 12 0.0002 0.0037 0.0000 34.307 8.376 74 17 7 5 +24 0 0.0006 0.0044 0.0000 64.007 13.014 73 17 56 14 0.0002 0.0044 0.0000 35.495 8.561 73 17 7 5 +25 0 0.0006 0.0053 0.0000 64.913 13.100 77 17 74 14 0.0002 0.0053 0.0000 36.627 8.736 77 17 7 5 +26 0 0.0008 0.0100 0.0000 65.594 13.241 38 11 84 12 0.0003 0.0100 0.0000 37.700 8.903 38 11 7 5 +27 0 0.0010 0.0127 0.0000 65.181 13.288 43 11 34 9 0.0003 0.0127 0.0000 38.681 9.059 43 11 7 5 +28 0 0.0013 0.0127 0.0000 64.455 13.399 43 11 114 16 0.0003 0.0127 0.0000 39.570 9.209 43 11 7 5 +29 0 0.0015 0.0127 0.0000 64.695 13.505 43 11 68 14 0.0004 0.0127 0.0000 40.407 9.352 43 11 7 5 +30 0 0.0017 0.0127 0.0000 64.713 13.445 43 11 47 11 0.0004 0.0127 0.0000 41.191 9.484 43 11 7 5 +31 0 0.0022 0.0127 0.0000 68.454 13.394 43 11 89 17 0.0005 0.0127 0.0000 42.043 9.606 43 11 7 5 +32 0 0.0036 0.0259 0.0000 81.417 13.369 31 8 59 12 0.0005 0.0259 0.0000 43.237 9.720 31 8 7 5 +33 0 0.0060 0.6084 0.0000 99.846 13.079 156 13 113 12 0.0007 0.6084 0.0000 44.901 9.819 156 13 7 5 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.sys new file mode 100644 index 0000000..ce2f23d --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_5/regress.sys @@ -0,0 +1,152 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 306. +creating initial population(s): + 5642 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 154361720 + freed: 153700004 + not freed: 661716 + max allocated: 10361000 + malloc'ed blocks: 496828 + realloc'ed blocks: 12 + free'ed blocks: 496729 + +------- time ------- + overall: 4s wall + evaluation: 3s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 98820 + freed: 98820 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.bst new file mode 100644 index 0000000..cbcf746 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.bst @@ -0,0 +1,27 @@ +=== BEST-OF-RUN === + generation: 23 + nodes: 44 + depth: 9 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.1367 + standardized fitness: 0.1367 + adjusted fitness: 0.8797 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (+ (sin (- (* 0.45343 -0.04368) + (/ (sin -0.92722) + (log (sin -0.98939))))) + (+ (sin (/ 0.74442 + (cos (/ -0.16788 0.72878)))) + (+ 0.94927 + (cos (exp (- x x)))))))) + (* (+ (/ x x) x) x)) +TREE-equ: +y = ((((x / x) * (x * x)) - cos((sin(((0.45343 * -0.04368) - (sin(-0.92722) / log(sin(-0.98939))))) + (sin((0.74442 / cos((-0.16788 / 0.72878)))) + (0.94927 + cos(exp((x - x)))))))) * (((x / x) + x) * x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.fn new file mode 100644 index 0000000..4216f6a --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x / x) * (x * x)) - cos((sin(((0.45343 * -0.04368) - (sin(-0.92722) / log(sin(-0.98939))))) + (sin((0.74442 / cos((-0.16788 / 0.72878)))) + (0.94927 + cos(exp((x - x)))))))) * (((x / x) + x) * x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.his new file mode 100644 index 0000000..238de8d --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.his @@ -0,0 +1,571 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7076.9368 + standardized fitness: 7076.9368 + adjusted fitness: 0.0001 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (log x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7076.9368 + standardized fitness: 7076.9368 + adjusted fitness: 0.0001 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (log x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 15 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7076.9368 + standardized fitness: 7076.9368 + adjusted fitness: 0.0001 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (log x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 23 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6637.0379 + standardized fitness: 6637.0379 + adjusted fitness: 0.0002 +TREE: + (* (- (* (/ x x) + (* x x)) + (log (+ (- x + (cos 0.95748)) + (- -0.73376 + (- -0.78197 -0.54564))))) + (* x x)) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 23 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6637.0379 + standardized fitness: 6637.0379 + adjusted fitness: 0.0002 +TREE: + (* (- (* (/ x x) + (* x x)) + (log (+ (- x + (cos 0.95748)) + (- -0.73376 + (- -0.78197 -0.54564))))) + (* x x)) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 26 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6385.1283 + standardized fitness: 6385.1283 + adjusted fitness: 0.0002 +TREE: + (* (- (* (/ x x) + (* x x)) + (log (- (/ (- (* x -0.27024) + (cos x)) -0.27678) + (log (exp (cos x)))))) + (* x x)) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 26 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6385.1283 + standardized fitness: 6385.1283 + adjusted fitness: 0.0002 +TREE: + (* (- (* (/ x x) + (* x x)) + (log (- (/ (- (* x -0.27024) + (cos x)) -0.27678) + (log (exp (cos x)))))) + (* x x)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 42 + depth: 13 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2264.9910 + standardized fitness: 2264.9910 + adjusted fitness: 0.0004 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (+ (sin (- (log (log (cos (/ (exp x) -0.43040)))) + (sin -0.85116))) + (+ (sin (sin -0.92872)) + (* x + (/ 0.79350 x))))) + (+ 0.70980 + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 38 + depth: 10 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 1876.0540 + standardized fitness: 1876.0540 + adjusted fitness: 0.0005 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (+ (sin (- (log (cos x)) + (sin -0.85116))) + (+ (sin (sin -0.92872)) + (* x + (/ 0.79350 x))))) + (+ 0.70980 + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 25 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1486.3550 + standardized fitness: 1486.3550 + adjusted fitness: 0.0007 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (sin (sin (log -0.03955)))) + (+ 0.70980 + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 34 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 870.5633 + standardized fitness: 870.5633 + adjusted fitness: 0.0011 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (+ (sin (log (* 0.45343 -0.04368))) + (log -0.67900))) + (+ (/ (cos -0.32394) + (* x x)) + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 29 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 551.6141 + standardized fitness: 551.6141 + adjusted fitness: 0.0018 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (* (/ (sin 0.02407) x) x)) + (+ 0.70980 + (- -0.89943 x))) + (/ 0.15993 0.14493))) + (* x x)) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 26 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 506.4608 + standardized fitness: 506.4608 + adjusted fitness: 0.0020 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (- (sin -0.92722) + (- x 0.29476)) + (+ (sin (- 0.96841 + (sin -0.85116))) -0.49231))) + (* x x)) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 35 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 397.5687 + standardized fitness: 397.5687 + adjusted fitness: 0.0025 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (+ (sin (log (* 0.45343 -0.04368))) + (log -0.67900))) + (+ (/ (- -0.89943 x) + (* x x)) + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 46 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 281.3970 + standardized fitness: 281.3970 + adjusted fitness: 0.0035 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (+ (sin (/ (exp (log (cos x))) + (/ (+ (- -0.75727 -0.35247) + (log -0.92934)) + (log (sin -0.98939))))) + (log -0.67900))) + (+ (/ (- -0.89943 x) + (* x x)) + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 32 + depth: 9 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 207.1367 + standardized fitness: 207.1367 + adjusted fitness: 0.0048 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (log (sin -0.92872)) + (+ (+ (+ -0.13379 + (/ (exp 0.24757) x)) + (sin (cos (+ (exp -0.99990) + (cos x))))) x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 39 + depth: 11 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 180.7890 + standardized fitness: 180.7890 + adjusted fitness: 0.0055 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (* (cos (+ (sin (+ (sin (log (* 0.45343 -0.04368))) + (log -0.67900))) + (log -0.67900))) + (+ (/ (- -0.89943 x) + (* x x)) + (- -0.89943 x))) -0.03750)) + (* x x)) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 30 + depth: 9 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 143.7985 + standardized fitness: 143.7985 + adjusted fitness: 0.0069 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (log (sin -0.92872)) + (+ (+ (+ -0.13379 + (/ (exp 0.24757) x)) + (exp (log (cos (exp -0.55432))))) x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 18 + generation: 17 + nodes: 30 + depth: 9 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 143.7985 + standardized fitness: 143.7985 + adjusted fitness: 0.0069 +TREE: + (* (- (* (/ x x) + (* x x)) + (- (log (sin -0.92872)) + (+ (+ (+ -0.13379 + (/ (exp 0.24757) x)) + (exp (log (cos (exp -0.55432))))) x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 45 + depth: 11 + hits: 19 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 19 + raw fitness: 73.3860 + standardized fitness: 73.3860 + adjusted fitness: 0.0134 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (+ (sin (- (log x) + (cos (log (* -0.57760 -0.93497))))) + (+ (sin (sin (cos (sin 0.18895)))) + (+ 0.94927 + (cos (exp (- x + (+ (- x -0.97207) + (exp x)))))))))) + (* (+ (/ x x) x) x)) +=== BEST-OF-RUN === + current generation: 20 + generation: 19 + nodes: 45 + depth: 11 + hits: 19 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 19 + raw fitness: 73.3860 + standardized fitness: 73.3860 + adjusted fitness: 0.0134 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (+ (sin (- (log x) + (cos (log (* -0.57760 -0.93497))))) + (+ (sin (sin (cos (sin 0.18895)))) + (+ 0.94927 + (cos (exp (- x + (+ (- x -0.97207) + (exp x)))))))))) + (* (+ (/ x x) x) x)) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 56 + depth: 14 + hits: 35 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 35 + raw fitness: 32.5686 + standardized fitness: 32.5686 + adjusted fitness: 0.0298 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (+ (sin (sin (log (* 0.45343 -0.04368)))) + (+ (sin (sin (cos (sin 0.18895)))) + (+ 0.94927 + (cos (* (* (* 0.02047 + (/ x x)) + (exp (/ x + (- (cos (/ -0.80227 0.75936)) + (* (- 0.08194 x) + (/ x -0.88792)))))) -0.21304))))))) + (* (+ (/ x x) x) x)) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 42 + depth: 9 + hits: 95 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 95 + raw fitness: 3.0759 + standardized fitness: 3.0759 + adjusted fitness: 0.2453 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (+ (sin (- (* 0.45343 -0.04368) + (/ (sin -0.92722) + (log (sin -0.98939))))) + (+ (sin (sin (cos (sin 0.18895)))) + (+ 0.94927 + (cos (exp (- x x)))))))) + (* (+ (/ x x) x) x)) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 44 + depth: 9 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.1367 + standardized fitness: 0.1367 + adjusted fitness: 0.8797 +TREE: + (* (- (* (/ x x) + (* x x)) + (cos (+ (sin (- (* 0.45343 -0.04368) + (/ (sin -0.92722) + (log (sin -0.98939))))) + (+ (sin (/ 0.74442 + (cos (/ -0.16788 0.72878)))) + (+ 0.94927 + (cos (exp (- x x)))))))) + (* (+ (/ x x) x) x)) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.prg new file mode 100644 index 0000000..142211f --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -4.50508, y = 336.27494 + x = 3.13857, y = 140.94048 + x = -4.73157, y = 412.93742 + x = -1.81952, y = 6.42777 + x = 3.45353, y = 198.81979 + x = -1.01002, y = 0.02044 + x = 4.05332, y = 357.00326 + x = 2.10125, y = 35.28872 + x = 2.75313, y = 88.65328 + x = -0.26427, y = -0.20801 + x = 2.63949, y = 76.53308 + x = 0.27793, y = 0.38260 + x = 1.45592, y = 11.15497 + x = 3.15643, y = 143.82887 + x = -4.22724, y = 257.42451 + x = 0.78982, y = 2.29545 + x = 1.75719, y = 19.80461 + x = 4.98461, y = 771.01896 + x = 1.94937, y = 27.59753 + x = 0.35347, y = 0.53819 + x = 3.60159, y = 231.54988 + x = -2.74564, y = 40.92461 + x = -3.74141, y = 153.83279 + x = 3.22632, y = 155.56906 + x = -1.45384, y = 2.05444 + x = -2.37699, y = 21.76653 + x = -2.89936, y = 51.79991 + x = -0.21794, y = -0.17854 + x = -2.26530, y = 17.57472 + x = 1.44350, y = 10.87680 + x = -1.22016, y = 0.66857 + x = -3.91827, y = 186.98688 + x = 2.44775, y = 59.00271 + x = 0.42686, y = 0.72004 + x = 2.05950, y = 33.02716 + x = 3.71406, y = 259.02179 + x = 1.70817, y = 18.12394 + x = 0.97029, y = 3.71162 + x = -0.11360, y = -0.10200 + x = 2.20218, y = 41.25030 + x = 0.28426, y = 0.39456 + x = -1.89540, y = 7.79415 + x = -4.11264, y = 229.31695 + x = -2.43743, y = 24.31900 + x = 1.63537, y = 15.83625 + x = 3.98725, y = 336.02755 + x = 2.65073, y = 77.67249 + x = -1.17447, y = 0.48755 + x = 1.50292, y = 12.25857 + x = 0.67988, y = 1.67006 + x = -2.05446, y = 11.30997 + x = 3.10135, y = 135.06227 + x = -4.32264, y = 282.73125 + x = 4.71416, y = 625.57545 + x = -3.01370, y = 61.18660 + x = 4.41318, y = 489.16308 + x = -4.30918, y = 279.05205 + x = -0.15842, y = -0.13667 + x = 1.12098, y = 5.36522 + x = 4.73947, y = 638.22906 + x = 2.28181, y = 46.47855 + x = -1.91697, y = 8.21730 + x = -2.78514, y = 43.53898 + x = -4.44905, y = 319.08515 + x = 4.45147, y = 505.13211 + x = -0.46511, y = -0.30260 + x = -0.60944, y = -0.32643 + x = -1.10664, y = 0.26255 + x = -3.47895, y = 113.00281 + x = -3.21449, y = 80.67329 + x = 3.13908, y = 141.02268 + x = -2.06834, y = 11.66284 + x = -1.51832, y = 2.60116 + x = -3.73051, y = 151.94446 + x = -2.59207, y = 31.85378 + x = -4.49976, y = 334.61113 + x = -3.42300, y = 105.47344 + x = -3.45557, y = 109.80931 + x = 1.24002, y = 7.04872 + x = -0.86703, y = -0.20196 + x = -3.06781, y = 66.04691 + x = 2.25906, y = 44.93559 + x = 3.66108, y = 245.79112 + x = -2.00476, y = 10.11000 + x = 4.16169, y = 393.53047 + x = -4.30319, y = 277.42700 + x = 3.86688, y = 300.22495 + x = 1.89680, y = 25.26366 + x = 0.97539, y = 3.75988 + x = -2.47539, y = 26.03083 + x = -0.67650, y = -0.31900 + x = -2.18519, y = 14.95652 + x = -0.55076, y = -0.32248 + x = -1.89911, y = 7.86582 + x = 4.06310, y = 360.18989 + x = -2.64740, y = 34.92879 + x = 4.62292, y = 581.52834 + x = 4.61787, y = 579.16262 + x = -4.84536, y = 456.06879 + x = 1.13513, y = 5.54657 + x = 2.41025, y = 55.96970 + x = 1.10631, y = 5.18220 + x = 2.58551, y = 71.24181 + x = -2.63005, y = 33.94177 + x = -1.25231, y = 0.81148 + x = 0.68648, y = 1.70333 + x = 4.44026, y = 500.41783 + x = 2.68212, y = 80.92083 + x = -4.44753, y = 318.62792 + x = -3.71050, y = 148.52496 + x = -4.45370, y = 320.48425 + x = -1.20598, y = 0.60971 + x = 3.86618, y = 300.02729 + x = -1.40363, y = 1.68278 + x = 0.41597, y = 0.69092 + x = -0.53300, y = -0.31962 + x = 3.63379, y = 239.17731 + x = 4.11396, y = 377.11173 + x = -3.51216, y = 117.65794 + x = 2.09887, y = 35.15646 + x = -0.08803, y = -0.08091 + x = -0.22731, y = -0.18471 + x = -1.26128, y = 0.85382 + x = 0.38592, y = 0.61451 + x = -0.62474, y = -0.32594 + x = -2.96723, y = 57.23046 + x = 0.34615, y = 0.52179 + x = -3.88827, y = 181.01780 + x = 2.52180, y = 65.36108 + x = 1.72145, y = 18.56778 + x = -3.94002, y = 191.40626 + x = -1.10512, y = 0.25805 + x = -4.00804, y = 205.73410 + x = -0.04948, y = -0.04715 + x = -1.41333, y = 1.75106 + x = 3.13817, y = 140.87678 + x = 3.39288, y = 186.47945 + x = 0.06472, y = 0.06920 + x = 2.57926, y = 70.64771 + x = -0.30531, y = -0.23187 + x = -2.93698, y = 54.76055 + x = 4.75291, y = 645.02960 + x = 0.40896, y = 0.67257 + x = 3.87652, y = 302.98094 + x = 2.61265, y = 73.86555 + x = 4.55080, y = 548.40346 + x = 4.07610, y = 364.45741 + x = 4.06332, y = 360.26085 + x = 3.72564, y = 261.98368 + x = 2.03033, y = 31.51494 + x = 2.00645, y = 30.31744 + x = 3.51119, y = 211.11713 + x = -2.90392, y = 52.15225 + x = -1.56681, y = 3.06821 + x = 0.07515, y = 0.08125 + x = -1.48462, y = 2.30531 + x = 0.11435, y = 0.12909 + x = -2.36501, y = 21.28473 + x = 3.78328, y = 277.11527 + x = 0.60952, y = 1.34552 + x = 2.29360, y = 47.29405 + x = -0.62446, y = -0.32596 + x = -4.89714, y = 476.77791 + x = 0.85778, y = 2.76610 + x = 4.22648, y = 416.67968 + x = -4.20661, y = 252.18397 + x = 3.38506, y = 184.93168 + x = 4.98967, y = 773.96140 + x = 0.98372, y = 3.83981 + x = 0.86517, y = 2.82156 + x = 0.39090, y = 0.62679 + x = 4.57047, y = 557.29117 + x = -4.61167, y = 370.88438 + x = -0.54249, y = -0.32124 + x = -4.90758, y = 481.03725 + x = 1.40078, y = 9.96174 + x = -2.32339, y = 19.67258 + x = -4.69448, y = 399.56470 + x = -4.68923, y = 397.69808 + x = -4.14012, y = 235.83631 + x = 1.91843, y = 26.20440 + x = -2.28885, y = 18.40432 + x = -2.67155, y = 36.33745 + x = -3.08773, y = 67.90621 + x = 4.42784, y = 495.23299 + x = 1.68444, y = 17.35162 + x = -1.20798, y = 0.61784 + x = 0.13418, y = 0.15492 + x = 0.72404, y = 1.90266 + x = -2.20672, y = 15.63012 + x = 4.75311, y = 645.13014 + x = 3.40321, y = 188.54006 + x = 4.08100, y = 366.07789 + x = -3.28591, y = 88.61182 + x = 4.30379, y = 445.62930 + x = -2.50745, y = 27.54511 + x = 4.36459, y = 469.44594 + x = -4.04856, y = 214.64167 + x = 3.78410, y = 277.33572 + x = -3.78813, y = 162.12359 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.stt new file mode 100644 index 0000000..6bb7112 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.stt @@ -0,0 +1,25 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.899 3.664 15 4 12 5 0.0000 0.0001 0.0000 12.899 3.664 15 4 12 5 +1 0 0.0000 0.0001 0.0000 13.253 4.177 15 4 31 8 0.0000 0.0001 0.0000 13.076 3.921 15 4 12 5 +2 0 0.0000 0.0001 0.0000 13.900 4.519 15 4 25 6 0.0000 0.0001 0.0000 13.351 4.120 15 4 12 5 +3 0 0.0000 0.0002 0.0000 14.929 4.854 23 6 26 7 0.0000 0.0002 0.0000 13.745 4.303 23 6 12 5 +4 0 0.0000 0.0002 0.0000 15.904 5.199 23 6 49 8 0.0000 0.0002 0.0000 14.177 4.483 23 6 12 5 +5 0 0.0000 0.0002 0.0000 16.507 5.361 26 7 8 4 0.0000 0.0002 0.0000 14.565 4.629 26 7 12 5 +6 0 0.0000 0.0002 0.0000 17.019 5.549 26 7 15 5 0.0000 0.0002 0.0000 14.916 4.761 26 7 12 5 +7 0 0.0000 0.0004 0.0000 17.763 5.689 42 13 25 7 0.0000 0.0004 0.0000 15.272 4.877 42 13 12 5 +8 0 0.0000 0.0005 0.0000 19.037 6.004 38 10 17 5 0.0000 0.0005 0.0000 15.690 5.002 38 10 12 5 +9 0 0.0000 0.0007 0.0000 21.225 6.428 25 8 12 4 0.0000 0.0007 0.0000 16.244 5.145 25 8 12 5 +10 0 0.0001 0.0011 0.0000 25.424 7.345 34 9 54 17 0.0000 0.0011 0.0000 17.078 5.345 34 9 12 5 +11 0 0.0001 0.0018 0.0000 31.684 8.570 29 8 24 11 0.0000 0.0018 0.0000 18.295 5.613 29 8 12 5 +12 0 0.0002 0.0020 0.0000 37.320 9.668 26 7 54 15 0.0001 0.0020 0.0000 19.759 5.925 26 7 12 5 +13 0 0.0002 0.0025 0.0000 40.934 10.327 35 9 75 17 0.0001 0.0025 0.0000 21.271 6.240 35 9 12 5 +14 0 0.0003 0.0035 0.0000 42.533 10.546 46 11 78 17 0.0001 0.0035 0.0000 22.689 6.527 46 11 12 5 +15 0 0.0003 0.0048 0.0000 44.298 10.866 32 9 20 6 0.0001 0.0048 0.0000 24.039 6.798 32 9 12 5 +16 0 0.0004 0.0055 0.0000 46.523 11.243 39 11 64 17 0.0001 0.0055 0.0000 25.362 7.059 39 11 12 5 +17 0 0.0005 0.0069 0.0000 47.750 11.439 30 9 34 7 0.0001 0.0069 0.0000 26.606 7.303 30 9 12 5 +18 0 0.0006 0.0069 0.0000 49.538 11.769 30 9 105 16 0.0002 0.0069 0.0000 27.813 7.538 30 9 12 5 +19 0 0.0007 0.0134 0.0000 50.646 11.853 45 11 60 14 0.0002 0.0134 0.0000 28.954 7.754 45 11 12 5 +20 0 0.0009 0.0134 0.0000 52.203 11.965 45 11 66 15 0.0002 0.0134 0.0000 30.061 7.954 45 11 12 5 +21 0 0.0013 0.0298 0.0000 54.317 12.165 56 14 42 11 0.0003 0.0298 0.0000 31.164 8.146 56 14 12 5 +22 0 0.0021 0.2453 0.0000 56.163 12.368 42 9 12 5 0.0004 0.2453 0.0000 32.251 8.329 42 9 12 5 +23 0 0.0042 0.8797 0.0000 56.695 12.336 44 9 88 16 0.0005 0.8797 0.0000 33.269 8.496 44 9 12 5 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.sys new file mode 100644 index 0000000..a9f6d38 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_6/regress.sys @@ -0,0 +1,122 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 2110. +creating initial population(s): + 5639 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 85190799 + freed: 84729603 + not freed: 461196 + max allocated: 6988137 + malloc'ed blocks: 352407 + realloc'ed blocks: 10 + free'ed blocks: 352338 + +------- time ------- + overall: 2s wall + evaluation: 2s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 73698 + freed: 73698 + allocated: 15500 + blocks: 30 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.bst new file mode 100644 index 0000000..ba09665 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.bst @@ -0,0 +1,24 @@ +=== BEST-OF-RUN === + generation: 28 + nodes: 22 + depth: 6 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (* (* x + (+ x + (/ (sin -0.45088) + (- x x)))) x) + (+ x + (* (* x x) + (* x x)))) +TREE-equ: +y = (((x * (x + (sin(-0.45088) / (x - x)))) * x) + (x + ((x * x) * (x * x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.fn new file mode 100644 index 0000000..4ead8ed --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.fn @@ -0,0 +1,2 @@ + +y = (((x * (x + (sin(-0.45088) / (x - x)))) * x) + (x + ((x * x) * (x * x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.his new file mode 100644 index 0000000..2b8fb7f --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.his @@ -0,0 +1,701 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 19 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13427.8674 + standardized fitness: 13427.8674 + adjusted fitness: 0.0001 +TREE: + (+ (exp (* (cos -0.76550) + (+ x x))) + (* (+ (cos x) + (/ x x)) + (exp (- 0.27935 x)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 11 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7829.4279 + standardized fitness: 7829.4279 + adjusted fitness: 0.0001 +TREE: + (* (log (exp x)) + (* (* x x) + (+ x -0.09799))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 11 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7829.4279 + standardized fitness: 7829.4279 + adjusted fitness: 0.0001 +TREE: + (* (log (exp x)) + (* (* x x) + (+ x -0.09799))) +=== BEST-OF-RUN === + current generation: 3 + generation: 1 + nodes: 11 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7829.4279 + standardized fitness: 7829.4279 + adjusted fitness: 0.0001 +TREE: + (* (log (exp x)) + (* (* x x) + (+ x -0.09799))) +=== BEST-OF-RUN === + current generation: 4 + generation: 1 + nodes: 11 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7829.4279 + standardized fitness: 7829.4279 + adjusted fitness: 0.0001 +TREE: + (* (log (exp x)) + (* (* x x) + (+ x -0.09799))) +=== BEST-OF-RUN === + current generation: 5 + generation: 1 + nodes: 11 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7829.4279 + standardized fitness: 7829.4279 + adjusted fitness: 0.0001 +TREE: + (* (log (exp x)) + (* (* x x) + (+ x -0.09799))) +=== BEST-OF-RUN === + current generation: 6 + generation: 1 + nodes: 11 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 7829.4279 + standardized fitness: 7829.4279 + adjusted fitness: 0.0001 +TREE: + (* (log (exp x)) + (* (* x x) + (+ x -0.09799))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 34 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7501.1942 + standardized fitness: 7501.1942 + adjusted fitness: 0.0001 +TREE: + (+ (exp (* (cos -0.76550) + (+ x x))) + (* (+ (cos -0.65399) + (cos (cos x))) + (exp (log (+ (+ (/ (sin (log -0.97086)) + (- (/ 0.08735 x) -0.77013)) x) + (/ (exp 0.91003) + (exp x))))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 19 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6104.8838 + standardized fitness: 6104.8838 + adjusted fitness: 0.0002 +TREE: + (* (* (* x + (+ x + (/ (log (cos -0.54233)) -0.96028))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 16 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 4628.6820 + standardized fitness: 4628.6820 + adjusted fitness: 0.0002 +TREE: + (* (* (* x + (+ x + (exp -0.95907))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 18 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1754.2945 + standardized fitness: 1754.2945 + adjusted fitness: 0.0006 +TREE: + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 18 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1754.2945 + standardized fitness: 1754.2945 + adjusted fitness: 0.0006 +TREE: + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 10 + nodes: 18 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1754.2945 + standardized fitness: 1754.2945 + adjusted fitness: 0.0006 +TREE: + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 47 + depth: 13 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1425.0308 + standardized fitness: 1425.0308 + adjusted fitness: 0.0007 +TREE: + (* (* (* x + (+ x + (/ (* (cos (/ (/ x 0.70381) x)) + (- (+ -0.52206 + (/ (+ x + (+ (cos (log 0.76101)) x)) + (/ (* x -0.93178) + (+ 0.33903 0.86236)))) + (exp (- (cos 0.83313) + (sin -0.33858))))) -0.96028))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 49 + depth: 15 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 992.1056 + standardized fitness: 992.1056 + adjusted fitness: 0.0010 +TREE: + (* (* (* x + (+ x + (exp (sin (* (cos (sin (+ (cos x) + (sin 0.49841)))) + (* (* (* 0.98559 x) + (/ x x)) + (exp (- (- -0.91038 + (sin (/ x x))) + (exp (cos (exp (* (- x x) + (log x))))))))))))) + (* (/ -0.87244 + (- x x)) x)) x) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 50 + depth: 13 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 359.6855 + standardized fitness: 359.6855 + adjusted fitness: 0.0028 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (cos (* (sin (/ (* x x) 0.46588)) + (exp x))))) + (+ -0.48596 + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 52 + depth: 13 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 351.6218 + standardized fitness: 351.6218 + adjusted fitness: 0.0028 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (cos (* (sin (/ (* x x) 0.46588)) + (exp x))))) + (+ (- x x) + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 51 + depth: 13 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 330.3698 + standardized fitness: 330.3698 + adjusted fitness: 0.0030 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (cos (* (* (exp (cos (+ -0.18731 x))) -0.84158) + (exp x))))) + (+ -0.48596 + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 54 + depth: 13 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 130.9904 + standardized fitness: 130.9904 + adjusted fitness: 0.0076 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (cos (/ (cos (* (* x x) + (- -0.74026 x))) + (log (log (sin -0.74873))))))) + (+ x + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 52 + depth: 13 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 115.8008 + standardized fitness: 115.8008 + adjusted fitness: 0.0086 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* x -0.93178)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (cos (* (sin (/ (* (- x x) x) 0.46588)) + (exp x))))) + (+ x + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 45 + depth: 13 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 108.1680 + standardized fitness: 108.1680 + adjusted fitness: 0.0092 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (* -0.61768 x)) + (+ (/ (log 0.40206) -0.96028) + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 25 + depth: 5 + hits: 20 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 20 + raw fitness: 100.7078 + standardized fitness: 100.7078 + adjusted fitness: 0.0098 +TREE: + (+ (* (* x + (+ x + (+ 0.63953 0.30269))) + (* (/ -0.87244 + (- x x)) x)) + (+ x + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 90 + depth: 15 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 84.9884 + standardized fitness: 84.9884 + adjusted fitness: 0.0116 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (cos (* (sin (/ (* x x) 0.46588)) + (exp x))))) + (+ (+ (* (/ (exp (* x + (exp (- (- -0.91038 + (sin (/ x x))) + (exp (cos (log (- (- (sin 0.55559) -0.96089) + (+ (log x) x))))))))) -0.93624) + (* -0.61768 x)) + (* (exp (/ 0.85673 -0.29874)) + (/ (exp -0.49836) + (- x x)))) + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 46 + depth: 13 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 80.4138 + standardized fitness: 80.4138 + adjusted fitness: 0.0123 +TREE: + (+ (- (/ (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* x -0.93178)) x) + (/ 0.42352 + (sin (sin -0.45088)))) 0.98725) + (log (exp (log (exp (* 0.14488 x)))))) + (+ x + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 54 + depth: 12 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 66.1769 + standardized fitness: 66.1769 + adjusted fitness: 0.0149 +TREE: + (+ (- (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) + (log (cos (* (sin (/ 0.77952 0.46588)) + (exp (cos (- (sin (+ 0.66619 -0.62493)) + (exp (sin 0.52419))))))))) + (+ x + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 47 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.0652 + standardized fitness: 64.0652 + adjusted fitness: 0.0154 +TREE: + (+ (- (* (/ (+ (- x + (* (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) x)) + (* -0.61768 x)) x) + (/ 0.42352 + (sin (sin -0.45088)))) + (log (cos (* (sin (/ 0.77952 0.46588)) + (/ x x))))) + (+ x + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 30 + depth: 7 + hits: 25 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 25 + raw fitness: 25.9928 + standardized fitness: 25.9928 + adjusted fitness: 0.0370 +TREE: + (+ (- (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) + (log (cos (* (/ -0.16688 -0.68562) x)))) + (+ (log (exp x)) + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 26 + nodes: 30 + depth: 7 + hits: 25 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 25 + raw fitness: 25.9928 + standardized fitness: 25.9928 + adjusted fitness: 0.0370 +TREE: + (+ (- (* (* x + (+ x + (/ (log 0.40206) -0.96028))) x) + (log (cos (* (/ -0.16688 -0.68562) x)))) + (+ (log (exp x)) + (* (* x x) + (* x x)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 28 + nodes: 22 + depth: 6 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (* (* x + (+ x + (/ (sin -0.45088) + (- x x)))) x) + (+ x + (* (* x x) + (* x x)))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.prg new file mode 100644 index 0000000..9272df7 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.15360, y = 0.18137 + x = -4.76855, y = 426.60414 + x = 1.36450, y = 9.23345 + x = 2.00639, y = 30.31433 + x = 1.89271, y = 25.08852 + x = 3.24876, y = 159.48846 + x = -0.06491, y = -0.06095 + x = 4.82371, y = 681.74106 + x = -1.75829, y = 5.45525 + x = -2.60742, y = 32.68553 + x = 0.27082, y = 0.36940 + x = 4.03356, y = 350.62673 + x = 3.10447, y = 135.54880 + x = -4.98213, y = 512.28946 + x = 4.20915, y = 410.38946 + x = 4.22294, y = 415.39043 + x = 1.79170, y = 21.05890 + x = -3.77454, y = 159.67805 + x = -3.71021, y = 148.47497 + x = -1.71607, y = 4.84755 + x = -3.69014, y = 145.10385 + x = 1.77468, y = 20.43264 + x = 0.84239, y = 2.65332 + x = 2.94128, y = 111.87995 + x = 2.26898, y = 45.60306 + x = 0.35214, y = 0.53517 + x = 2.55561, y = 68.43344 + x = 2.01088, y = 30.53700 + x = -1.81175, y = 6.29806 + x = -0.19948, y = -0.16604 + x = -0.98162, y = -0.03542 + x = -4.01566, y = 207.38693 + x = 4.80319, y = 670.94062 + x = 2.11134, y = 35.85242 + x = -0.35513, y = -0.25790 + x = 0.70435, y = 1.79601 + x = 1.28160, y = 7.72689 + x = -0.44966, y = -0.29750 + x = 1.43888, y = 10.77471 + x = -1.07715, y = 0.17951 + x = -0.86986, y = -0.19886 + x = -4.73834, y = 415.41450 + x = 1.23439, y = 6.96074 + x = 2.67987, y = 80.68436 + x = -0.16695, y = -0.14295 + x = 0.03249, y = 0.03358 + x = -1.60222, y = 3.44192 + x = -2.31606, y = 19.39831 + x = 4.48868, y = 521.02960 + x = 4.20655, y = 409.45275 + x = 0.15286, y = 0.18035 + x = -2.02123, y = 10.49699 + x = 2.22012, y = 42.38606 + x = -1.80097, y = 6.12138 + x = 0.31031, y = 0.44576 + x = -0.83075, y = -0.23764 + x = -4.57174, y = 357.62039 + x = 4.25316, y = 426.50668 + x = -2.63848, y = 34.41872 + x = -3.81164, y = 166.41974 + x = -3.03284, y = 62.87397 + x = -4.61525, y = 372.09001 + x = -1.61517, y = 3.58564 + x = 4.31886, y = 451.44608 + x = 3.26245, y = 161.91562 + x = 0.00916, y = 0.00924 + x = -2.20084, y = 15.44393 + x = -4.57540, y = 358.81881 + x = 0.18481, y = 0.22644 + x = -0.82334, y = -0.24405 + x = 0.82517, y = 2.53157 + x = -0.89224, y = -0.17269 + x = -3.26323, y = 86.03022 + x = -2.91676, y = 53.15379 + x = 3.13107, y = 139.74083 + x = 3.33109, y = 174.51528 + x = 4.55456, y = 550.09223 + x = -2.35664, y = 20.95312 + x = -2.36903, y = 21.44559 + x = -1.90028, y = 7.88846 + x = -0.07612, y = -0.07074 + x = 3.30244, y = 169.16911 + x = -0.35064, y = -0.25568 + x = -3.00010, y = 60.00894 + x = -2.16664, y = 14.39355 + x = -1.36637, y = 1.43522 + x = 2.59951, y = 72.58609 + x = -4.51567, y = 339.59882 + x = 3.84889, y = 295.13336 + x = 4.63571, y = 587.55974 + x = -2.09481, y = 12.35760 + x = 0.85699, y = 2.76024 + x = 4.36553, y = 469.82354 + x = -2.73778, y = 40.41834 + x = 3.09768, y = 134.49404 + x = -4.97762, y = 510.35584 + x = 3.52489, y = 214.12263 + x = -0.84885, y = -0.22076 + x = 4.54880, y = 547.50379 + x = 1.50196, y = 12.23510 + x = 0.47793, y = 0.86770 + x = -4.24558, y = 262.15285 + x = -4.94703, y = 497.38854 + x = 1.38896, y = 9.71962 + x = -0.71732, y = -0.30711 + x = 1.85042, y = 23.33460 + x = 3.32940, y = 174.19587 + x = 0.22022, y = 0.28175 + x = -4.63433, y = 378.57361 + x = -3.32331, y = 92.99604 + x = 1.56974, y = 13.97361 + x = 4.94393, y = 747.65890 + x = -4.59572, y = 365.54356 + x = -2.27419, y = 17.88492 + x = 3.28317, y = 165.64415 + x = 1.11017, y = 5.22991 + x = -3.98078, y = 199.89899 + x = -3.87739, y = 178.88847 + x = -3.77883, y = 160.44572 + x = 3.24007, y = 157.96168 + x = 1.48427, y = 11.81065 + x = 3.64801, y = 242.60611 + x = -4.12420, y = 232.04197 + x = 3.68285, y = 251.16378 + x = 3.69872, y = 255.13785 + x = 0.07075, y = 0.07614 + x = -0.94521, y = -0.09805 + x = 0.34781, y = 0.52550 + x = 2.80057, y = 94.12425 + x = -3.71935, y = 150.03019 + x = -4.99831, y = 519.26563 + x = -0.66566, y = -0.32117 + x = -2.72231, y = 39.43620 + x = -4.04572, y = 214.00869 + x = 1.52998, y = 12.93178 + x = -0.02005, y = -0.01965 + x = 2.89817, y = 106.18990 + x = -3.07644, y = 66.84757 + x = -1.28328, y = 0.96217 + x = 1.72319, y = 18.62656 + x = -2.38559, y = 22.11706 + x = 1.47690, y = 11.63726 + x = 4.26316, y = 430.23154 + x = -4.39118, y = 302.03185 + x = -1.84855, y = 6.92872 + x = -0.74283, y = -0.29645 + x = -0.01881, y = -0.01846 + x = -4.31732, y = 281.27176 + x = -1.43650, y = 1.92096 + x = -1.97307, y = 9.39425 + x = 0.96759, y = 3.68625 + x = -1.82292, y = 6.48513 + x = 1.35059, y = 8.96556 + x = 3.26815, y = 162.93537 + x = 1.50027, y = 12.19398 + x = -3.85641, y = 174.83575 + x = 3.47673, y = 203.70035 + x = 4.09869, y = 371.96870 + x = 4.85898, y = 700.60497 + x = 4.30272, y = 445.22159 + x = 3.95225, y = 325.30184 + x = 1.40584, y = 10.06685 + x = -3.49650, y = 115.44594 + x = -1.35752, y = 1.37975 + x = 4.06228, y = 359.92088 + x = -4.90715, y = 480.86085 + x = -4.31923, y = 281.79553 + x = 4.79546, y = 666.90388 + x = 4.57436, y = 559.06162 + x = -0.97400, y = -0.04935 + x = -3.87102, y = 177.65105 + x = -4.66346, y = 388.63386 + x = 2.55912, y = 68.75860 + x = 3.19424, y = 150.09412 + x = -2.72752, y = 39.76511 + x = -1.69281, y = 4.53355 + x = -2.70258, y = 38.20922 + x = -2.39235, y = 22.39524 + x = -2.81742, y = 45.76543 + x = 2.55513, y = 68.38925 + x = 1.59403, y = 14.64156 + x = -0.04391, y = -0.04206 + x = 0.48883, y = 0.90170 + x = 3.49784, y = 208.22101 + x = -2.67161, y = 36.34088 + x = -1.40415, y = 1.68636 + x = -2.16916, y = 14.46907 + x = 3.63521, y = 239.51778 + x = -3.10800, y = 69.83854 + x = 1.43713, y = 10.73630 + x = -0.70082, y = -0.31265 + x = 3.10271, y = 135.27464 + x = -2.65080, y = 35.12443 + x = 4.69072, y = 614.03035 + x = 0.59421, y = 1.28176 + x = -2.72213, y = 39.42507 + x = 3.91778, y = 314.99170 + x = -3.93109, y = 189.58228 + x = 3.33634, y = 175.50806 + x = 4.84426, y = 692.68180 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.stt new file mode 100644 index 0000000..e3d5f7e --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.stt @@ -0,0 +1,30 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.005 3.668 19 4 18 6 0.0000 0.0001 0.0000 13.005 3.668 19 4 18 6 +1 0 0.0000 0.0001 0.0000 13.041 4.098 11 3 30 6 0.0000 0.0001 0.0000 13.023 3.883 11 3 18 6 +2 0 0.0000 0.0001 0.0000 13.683 4.415 11 3 5 3 0.0000 0.0001 0.0000 13.243 4.060 11 3 18 6 +3 0 0.0000 0.0001 0.0000 14.553 4.754 11 3 15 6 0.0000 0.0001 0.0000 13.570 4.234 11 3 18 6 +4 0 0.0000 0.0001 0.0000 15.390 5.062 11 3 24 7 0.0000 0.0001 0.0000 13.934 4.400 11 3 18 6 +5 0 0.0000 0.0001 0.0000 16.002 5.300 11 3 18 7 0.0000 0.0001 0.0000 14.279 4.550 11 3 18 6 +6 0 0.0000 0.0001 0.0000 16.586 5.489 11 3 13 5 0.0000 0.0001 0.0000 14.609 4.684 11 3 18 6 +7 0 0.0000 0.0001 0.0000 17.266 5.661 34 9 17 10 0.0000 0.0001 0.0000 14.941 4.806 34 9 18 6 +8 0 0.0000 0.0002 0.0000 17.491 5.704 19 7 30 8 0.0000 0.0002 0.0000 15.224 4.906 19 7 18 6 +9 0 0.0000 0.0002 0.0000 18.032 5.871 16 5 38 11 0.0000 0.0002 0.0000 15.505 5.002 16 5 18 6 +10 0 0.0000 0.0006 0.0000 18.765 6.015 18 6 26 8 0.0000 0.0006 0.0000 15.801 5.094 18 6 18 6 +11 0 0.0000 0.0006 0.0000 19.408 6.190 18 6 9 5 0.0000 0.0006 0.0000 16.102 5.186 18 6 18 6 +12 0 0.0000 0.0006 0.0000 20.246 6.415 18 6 41 9 0.0000 0.0006 0.0000 16.421 5.280 18 6 18 6 +13 0 0.0000 0.0007 0.0000 21.254 6.656 47 13 8 6 0.0000 0.0007 0.0000 16.766 5.378 47 13 18 6 +14 0 0.0000 0.0010 0.0000 22.642 7.016 49 15 26 6 0.0000 0.0010 0.0000 17.158 5.488 49 15 18 6 +15 0 0.0001 0.0028 0.0000 25.059 7.733 50 13 27 12 0.0000 0.0028 0.0000 17.651 5.628 50 13 18 6 +16 0 0.0001 0.0028 0.0000 30.427 9.192 52 13 21 7 0.0000 0.0028 0.0000 18.403 5.838 52 13 18 6 +17 0 0.0003 0.0030 0.0000 37.585 10.979 51 13 48 15 0.0001 0.0030 0.0000 19.469 6.123 51 13 18 6 +18 0 0.0004 0.0076 0.0000 42.687 11.940 54 13 6 4 0.0001 0.0076 0.0000 20.691 6.429 54 13 18 6 +19 0 0.0006 0.0086 0.0000 46.991 12.298 52 13 51 13 0.0001 0.0086 0.0000 22.006 6.723 52 13 18 6 +20 0 0.0008 0.0092 0.0000 51.815 12.629 45 13 58 16 0.0001 0.0092 0.0000 23.425 7.004 45 13 18 6 +21 0 0.0010 0.0098 0.0000 56.303 12.816 25 5 40 17 0.0002 0.0098 0.0000 24.920 7.268 25 5 18 6 +22 0 0.0013 0.0116 0.0000 59.435 12.890 90 15 56 16 0.0002 0.0116 0.0000 26.420 7.513 90 15 18 6 +23 0 0.0015 0.0123 0.0000 60.791 12.882 46 13 71 16 0.0003 0.0123 0.0000 27.852 7.736 46 13 18 6 +24 0 0.0019 0.0149 0.0000 63.467 13.079 54 12 85 14 0.0003 0.0149 0.0000 29.277 7.950 54 12 18 6 +25 0 0.0024 0.0154 0.0000 64.586 13.154 47 12 95 17 0.0004 0.0154 0.0000 30.635 8.150 47 12 18 6 +26 0 0.0028 0.0370 0.0000 66.382 13.229 30 7 52 12 0.0005 0.0370 0.0000 31.959 8.338 30 7 18 6 +27 0 0.0032 0.0370 0.0000 67.167 13.245 30 7 59 13 0.0006 0.0370 0.0000 33.216 8.514 30 7 18 6 +28 0 0.0038 1.0000 0.0000 68.600 13.378 22 6 99 16 0.0007 1.0000 0.0000 34.437 8.681 22 6 18 6 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.sys new file mode 100644 index 0000000..c5c6674 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_7/regress.sys @@ -0,0 +1,137 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 120. +creating initial population(s): + 5618 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 105911983 + freed: 105350527 + not freed: 561456 + max allocated: 8149652 + malloc'ed blocks: 426117 + realloc'ed blocks: 11 + free'ed blocks: 426033 + +------- time ------- + overall: 3s wall + evaluation: 2s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 86380 + freed: 86380 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.bst new file mode 100644 index 0000000..42fb3be --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.bst @@ -0,0 +1,32 @@ +=== BEST-OF-RUN === + generation: 15 + nodes: 66 + depth: 15 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.5303 + standardized fitness: 0.5303 + adjusted fitness: 0.6535 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 x) + (+ (- (* (exp (sin -0.16173)) x) + (/ x 0.07147)) + (* (* (cos (exp -0.91503)) + (* (cos -0.56649) + (sin -0.51065))) + (* (exp (/ (* 0.24005 x) + (+ (- (cos -0.00366) + (/ x 0.07147)) + (- (sin (* x x)) + (- -0.16814 x))))) + (* (exp (sin -0.16173)) x))))))) + (- -0.16814 x))) x) +TREE-equ: +y = ((((x * x) + (x / x)) * (sin(exp(((0.24005 * x) / (((exp(sin(-0.16173)) * x) - (x / 0.07147)) + ((cos(exp(-0.91503)) * (cos(-0.56649) * sin(-0.51065))) * (exp(((0.24005 * x) / ((cos(-0.00366) - (x / 0.07147)) + (sin((x * x)) - (-0.16814 - x))))) * (exp(sin(-0.16173)) * x))))))) - (-0.16814 - x))) * x) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.fn new file mode 100644 index 0000000..0ad1eb6 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * x) + (x / x)) * (sin(exp(((0.24005 * x) / (((exp(sin(-0.16173)) * x) - (x / 0.07147)) + ((cos(exp(-0.91503)) * (cos(-0.56649) * sin(-0.51065))) * (exp(((0.24005 * x) / ((cos(-0.00366) - (x / 0.07147)) + (sin((x * x)) - (-0.16814 - x))))) * (exp(sin(-0.16173)) * x))))))) - (-0.16814 - x))) * x) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.his new file mode 100644 index 0000000..d92544c --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.his @@ -0,0 +1,375 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 26 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7272.2115 + standardized fitness: 7272.2115 + adjusted fitness: 0.0001 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (log x) + (- -0.16814 x))) + (- (* (sin 0.96472) + (+ x 0.16167)) + (cos (+ 0.83925 -0.02401)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 26 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7272.2115 + standardized fitness: 7272.2115 + adjusted fitness: 0.0001 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (log x) + (- -0.16814 x))) + (- (* (sin 0.96472) + (+ x 0.16167)) + (cos (+ 0.83925 -0.02401)))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 27 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6464.2004 + standardized fitness: 6464.2004 + adjusted fitness: 0.0002 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (/ x x) + (- -0.16814 x))) + (- (* (sin 0.96472) + (+ x 0.16167)) + (cos (+ 0.83925 -0.02401)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 22 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3947.1229 + standardized fitness: 3947.1229 + adjusted fitness: 0.0003 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (/ x x) + (- -0.16814 x))) + (- x + (cos (+ 0.83925 -0.02401)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 22 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3947.1229 + standardized fitness: 3947.1229 + adjusted fitness: 0.0003 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (/ x x) + (- -0.16814 x))) + (- x + (cos (+ 0.83925 -0.02401)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 25 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1555.9942 + standardized fitness: 1555.9942 + adjusted fitness: 0.0006 +TREE: + (exp (log (* (* (+ (* x x) + (/ x x)) + (- (/ x x) + (- -0.16814 x))) + (- x + (cos (* -0.87292 + (log x))))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 17 + depth: 5 + hits: 15 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 15 + raw fitness: 186.4104 + standardized fitness: 186.4104 + adjusted fitness: 0.0053 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp -0.06107)) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 18 + depth: 6 + hits: 30 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 30 + raw fitness: 55.2251 + standardized fitness: 55.2251 + adjusted fitness: 0.0178 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (sin -0.03064))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 19 + depth: 7 + hits: 30 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 30 + raw fitness: 55.2045 + standardized fitness: 55.2045 + adjusted fitness: 0.0178 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (sin (sin -0.03064)))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 23 + depth: 9 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 44.9888 + standardized fitness: 44.9888 + adjusted fitness: 0.0217 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (log (cos (- (/ 0.64167 x) 0.04586))))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 38 + depth: 10 + hits: 65 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 65 + raw fitness: 8.5853 + standardized fitness: 8.5853 + adjusted fitness: 0.1043 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 + (* (exp (sin -0.16173)) x)) + (+ (- (cos -0.00366) + (/ x 0.07147)) + (- (sin (exp -0.06107)) + (- -0.16814 x)))))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 36 + depth: 10 + hits: 116 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 116 + raw fitness: 3.0356 + standardized fitness: 3.0356 + adjusted fitness: 0.2478 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 + (* (exp (sin -0.16173)) x)) + (+ (- (cos -0.00366) + (/ x 0.07147)) + (- x + (- -0.16814 x)))))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 41 + depth: 11 + hits: 119 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 119 + raw fitness: 2.4832 + standardized fitness: 2.4832 + adjusted fitness: 0.2871 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 x) + (+ (- (cos -0.00366) + (/ x 0.07147)) + (* (* (cos (exp -0.91503)) + (* (cos -0.56649) + (sin -0.51065))) + (cos (/ 0.79291 -0.55837))))))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 35 + depth: 9 + hits: 129 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 129 + raw fitness: 1.5757 + standardized fitness: 1.5757 + adjusted fitness: 0.3882 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 + (* (exp -0.04285) x)) + (+ (- (cos -0.00366) + (/ x 0.07147)) + (- -0.16173 + (- -0.16814 x)))))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 52 + depth: 12 + hits: 158 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 158 + raw fitness: 1.0649 + standardized fitness: 1.0649 + adjusted fitness: 0.4843 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 + (* (cos -0.00366) x)) + (+ (- (/ (* x 0.27129) + (- (sin (* 0.01654 0.32038)) -0.58478)) + (/ x 0.07147)) + (- (sin (+ (* x x) + (/ x x))) + (log (exp (sin (cos x))))))))) + (- -0.16814 x))) x) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 66 + depth: 15 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.5303 + standardized fitness: 0.5303 + adjusted fitness: 0.6535 +TREE: + (* (* (+ (* x x) + (/ x x)) + (- (sin (exp (/ (* 0.24005 x) + (+ (- (* (exp (sin -0.16173)) x) + (/ x 0.07147)) + (* (* (cos (exp -0.91503)) + (* (cos -0.56649) + (sin -0.51065))) + (* (exp (/ (* 0.24005 x) + (+ (- (cos -0.00366) + (/ x 0.07147)) + (- (sin (* x x)) + (- -0.16814 x))))) + (* (exp (sin -0.16173)) x))))))) + (- -0.16814 x))) x) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.prg new file mode 100644 index 0000000..8f5ed8b --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -0.43653, y = -0.29284 + x = 3.71726, y = 259.83921 + x = -4.75705, y = 422.31734 + x = -0.04987, y = -0.04750 + x = 3.82893, y = 289.56155 + x = -4.40529, y = 306.12590 + x = -4.22447, y = 256.71510 + x = 2.04304, y = 32.16690 + x = 4.81652, y = 677.93946 + x = -1.63001, y = 3.75542 + x = -1.81445, y = 6.34298 + x = -0.27670, y = -0.21546 + x = -2.37354, y = 21.62689 + x = 3.23127, y = 156.42779 + x = 4.41702, y = 490.74734 + x = -0.91306, y = -0.14555 + x = -4.34254, y = 288.23694 + x = -2.16995, y = 14.49276 + x = -0.76471, y = -0.28515 + x = -4.57114, y = 357.42482 + x = 2.16885, y = 39.20167 + x = -0.56990, y = -0.32472 + x = 3.05905, y = 128.61035 + x = 2.85535, y = 100.76028 + x = -4.23385, y = 259.12060 + x = -3.91667, y = 186.66645 + x = 4.20929, y = 410.43890 + x = 3.42226, y = 192.38251 + x = 1.67374, y = 17.01181 + x = 3.41364, y = 190.63547 + x = 4.63176, y = 585.68897 + x = -3.14623, y = 73.59416 + x = 4.40240, y = 484.73421 + x = -2.83273, y = 46.85084 + x = -2.54617, y = 29.45914 + x = 3.32395, y = 173.17063 + x = 3.49180, y = 206.91974 + x = 3.96438, y = 328.98786 + x = 4.28242, y = 437.47883 + x = 3.37452, y = 182.86199 + x = -3.17695, y = 76.71964 + x = -4.67880, y = 394.00986 + x = -1.53789, y = 2.78363 + x = 1.62998, y = 15.67614 + x = 2.96023, y = 114.45321 + x = -2.81744, y = 45.76712 + x = -2.77290, y = 42.71544 + x = -4.64957, y = 383.81248 + x = 3.62032, y = 235.96262 + x = -4.61758, y = 372.87748 + x = 4.10919, y = 375.49762 + x = -0.77984, y = -0.27610 + x = 2.96165, y = 114.64756 + x = -2.94236, y = 55.19402 + x = 1.79872, y = 21.32145 + x = -2.29030, y = 18.45639 + x = 4.31487, y = 449.89988 + x = 3.07568, y = 131.11848 + x = -2.50370, y = 27.36474 + x = -4.49502, y = 333.13738 + x = -2.89709, y = 51.62518 + x = -3.18884, y = 77.95639 + x = 2.76062, y = 89.50049 + x = -3.55800, y = 124.31959 + x = -3.45307, y = 109.47118 + x = -2.13566, y = 13.48752 + x = -3.73882, y = 153.38129 + x = 0.99648, y = 3.96492 + x = -4.72896, y = 411.98555 + x = 2.23446, y = 43.31187 + x = -3.14017, y = 72.98879 + x = -4.69297, y = 399.02868 + x = -0.79026, y = -0.26926 + x = -1.14714, y = 0.39089 + x = -3.68033, y = 143.47794 + x = -2.05131, y = 11.23110 + x = 1.46845, y = 11.44113 + x = 1.00141, y = 4.01412 + x = -3.94337, y = 192.09381 + x = 3.05645, y = 128.22204 + x = -3.23154, y = 82.51795 + x = -3.86639, y = 176.75597 + x = 0.92596, y = 3.31243 + x = 1.16876, y = 5.99721 + x = 1.31073, y = 8.23211 + x = 2.82060, y = 96.51097 + x = -0.90685, y = -0.15394 + x = 2.96040, y = 114.47677 + x = -4.37966, y = 298.72060 + x = 4.58948, y = 565.98809 + x = 2.06277, y = 33.20001 + x = -2.50468, y = 27.41170 + x = 3.69333, y = 253.78316 + x = -2.95205, y = 55.98069 + x = 1.51469, y = 12.54785 + x = -3.48398, y = 113.69850 + x = 1.11147, y = 5.24601 + x = 4.60925, y = 575.13625 + x = 0.31031, y = 0.44576 + x = 0.01154, y = 0.01168 + x = 0.71411, y = 1.84827 + x = 1.22569, y = 6.82638 + x = 4.29379, y = 441.80478 + x = -4.43613, y = 315.21716 + x = 3.61396, y = 234.45784 + x = 2.97558, y = 116.57020 + x = 3.29420, y = 167.65436 + x = -3.20711, y = 79.88407 + x = 0.74691, y = 2.03268 + x = 3.97812, y = 333.20356 + x = 3.61655, y = 235.07048 + x = -3.64554, y = 137.81794 + x = 2.45534, y = 59.63152 + x = -2.09319, y = 12.31403 + x = -1.55779, y = 2.97751 + x = 4.60759, y = 574.36366 + x = -1.88218, y = 7.54261 + x = 0.71267, y = 1.84049 + x = -0.07269, y = -0.06777 + x = -4.96909, y = 506.71444 + x = 1.75288, y = 19.65204 + x = -3.34807, y = 95.98498 + x = -4.31383, y = 280.31892 + x = 0.25950, y = 0.34885 + x = -3.47965, y = 113.09908 + x = 0.63414, y = 1.45299 + x = -3.98677, y = 201.16954 + x = -1.35413, y = 1.35886 + x = 0.23890, y = 0.31287 + x = -1.65591, y = 4.06436 + x = -0.34551, y = -0.25313 + x = -0.32444, y = -0.24225 + x = -4.74550, y = 418.04638 + x = -2.92149, y = 53.52615 + x = 4.43990, y = 500.26484 + x = -4.58600, y = 362.31602 + x = -1.32173, y = 1.16812 + x = -1.98085, y = 9.56651 + x = -2.27345, y = 17.85897 + x = 1.70314, y = 17.95801 + x = -0.29722, y = -0.22733 + x = 3.38048, y = 184.03032 + x = -1.96690, y = 9.25931 + x = -4.41057, y = 307.66735 + x = -2.16339, y = 14.29653 + x = 0.41083, y = 0.67745 + x = -3.19085, y = 78.16628 + x = -1.56617, y = 3.06171 + x = -4.47240, y = 326.16649 + x = -4.11945, y = 230.92032 + x = -4.49721, y = 333.81857 + x = -2.53440, y = 28.86720 + x = -0.62965, y = -0.32564 + x = -3.03378, y = 62.95764 + x = -4.64295, y = 381.52928 + x = -3.96145, y = 195.83742 + x = 0.97119, y = 3.72010 + x = 2.21528, y = 42.07750 + x = -3.87603, y = 178.62444 + x = 3.19996, y = 151.05951 + x = -0.70269, y = -0.31207 + x = 0.27505, y = 0.37724 + x = 4.06635, y = 361.25108 + x = 4.04377, y = 353.91059 + x = -0.72466, y = -0.30431 + x = -4.76393, y = 424.87754 + x = 3.32137, y = 172.68558 + x = 1.86591, y = 23.96552 + x = -4.92979, y = 490.19437 + x = 3.03138, y = 124.51938 + x = 2.79844, y = 93.87353 + x = 4.68399, y = 610.74158 + x = 0.18507, y = 0.22683 + x = -0.95324, y = -0.08507 + x = 4.52812, y = 538.28469 + x = -0.71272, y = -0.30876 + x = 2.28159, y = 46.46323 + x = 3.71994, y = 260.52423 + x = -0.09755, y = -0.08887 + x = -4.51820, y = 340.39598 + x = 4.66295, y = 600.55461 + x = -1.20205, y = 0.59380 + x = -2.47810, y = 26.15660 + x = 2.03894, y = 31.95560 + x = 4.04678, y = 354.88242 + x = 4.37944, y = 475.40659 + x = 0.60921, y = 1.34421 + x = -3.78927, y = 162.32926 + x = 2.80317, y = 94.43224 + x = 4.20383, y = 408.47163 + x = -2.90737, y = 52.41969 + x = 1.81236, y = 21.83901 + x = -2.05106, y = 11.22480 + x = -0.30483, y = -0.23160 + x = 3.90470, y = 311.14642 + x = 0.01879, y = 0.01915 + x = -1.80459, y = 6.18031 + x = 3.98634, y = 335.74565 + x = -3.93869, y = 191.13442 + x = 3.54933, y = 219.56354 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.stt new file mode 100644 index 0000000..dbaf21c --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.stt @@ -0,0 +1,17 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.510 3.726 26 4 54 6 0.0000 0.0001 0.0000 13.510 3.726 26 4 54 6 +1 0 0.0000 0.0001 0.0000 13.640 4.206 26 4 8 4 0.0000 0.0001 0.0000 13.575 3.966 26 4 54 6 +2 0 0.0000 0.0002 0.0000 14.154 4.571 27 4 5 4 0.0000 0.0002 0.0000 13.768 4.168 27 4 5 4 +3 0 0.0000 0.0003 0.0000 14.774 4.857 22 4 17 7 0.0000 0.0003 0.0000 14.019 4.340 22 4 5 4 +4 0 0.0000 0.0003 0.0000 15.516 5.056 22 4 22 6 0.0000 0.0003 0.0000 14.319 4.483 22 4 5 4 +5 0 0.0000 0.0006 0.0000 16.344 5.269 25 7 14 5 0.0000 0.0006 0.0000 14.656 4.614 25 7 5 4 +6 0 0.0000 0.0053 0.0000 17.603 5.546 17 5 25 6 0.0000 0.0053 0.0000 15.077 4.747 17 5 5 4 +7 0 0.0001 0.0178 0.0000 18.823 5.781 18 6 37 7 0.0000 0.0178 0.0000 15.545 4.877 18 6 5 4 +8 0 0.0002 0.0178 0.0000 21.409 6.205 19 7 20 4 0.0001 0.0178 0.0000 16.197 5.024 19 7 5 4 +9 0 0.0007 0.0217 0.0000 23.040 6.442 23 9 23 8 0.0001 0.0217 0.0000 16.881 5.166 23 9 5 4 +10 0 0.0013 0.1043 0.0000 25.311 6.933 38 10 19 7 0.0002 0.1043 0.0000 17.647 5.327 38 10 5 4 +11 0 0.0026 0.2478 0.0000 30.058 8.014 36 10 46 13 0.0004 0.2478 0.0000 18.682 5.550 36 10 5 4 +12 0 0.0076 0.2871 0.0000 36.244 9.581 41 11 29 9 0.0010 0.2871 0.0000 20.033 5.861 41 11 5 4 +13 0 0.0229 0.3882 0.0000 40.215 10.609 35 9 44 11 0.0025 0.3882 0.0000 21.474 6.200 35 9 5 4 +14 0 0.0451 0.4843 0.0000 43.129 11.115 52 12 22 6 0.0054 0.4843 0.0000 22.918 6.527 52 12 5 4 +15 0 0.0667 0.6535 0.0000 45.336 11.432 66 15 43 16 0.0092 0.6535 0.0000 24.319 6.834 66 15 5 4 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.sys new file mode 100644 index 0000000..8030b21 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_8/regress.sys @@ -0,0 +1,98 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 327. +creating initial population(s): + 5617 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 43727398 + freed: 43426618 + not freed: 300780 + max allocated: 5749208 + malloc'ed blocks: 234992 + realloc'ed blocks: 10 + free'ed blocks: 234947 + +------- time ------- + overall: 2s wall + evaluation: 2s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 52746 + freed: 52746 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.bst b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.bst new file mode 100644 index 0000000..61cfa95 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.bst @@ -0,0 +1,34 @@ +=== BEST-OF-RUN === + generation: 18 + nodes: 66 + depth: 16 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.1004 + standardized fitness: 0.1004 + adjusted fitness: 0.9088 +TREE: + (+ (* x x) + (+ x + (* x + (- (* (* x x) x) + (* x + (- (* (/ (sin (+ x x)) + (* (exp (/ (exp (* x + (- (* (* x x) x) + (- -0.30292 x)))) 0.91093)) + (+ (* x + (- (* (* x x) + (+ x 0.83823)) + (log (/ 0.68915 + (exp 0.66163))))) + (/ (cos (cos x)) + (* 0.72481 + (+ -0.58125 0.16027)))))) 0.16346) x)))))) +TREE-equ: +y = ((x * x) + (x + (x * (((x * x) * x) - (x * (((sin((x + x)) / (exp((exp((x * (((x * x) * x) - (-0.30292 - x)))) / 0.91093)) * ((x * (((x * x) * (x + 0.83823)) - log((0.68915 / exp(0.66163))))) + (cos(cos(x)) / (0.72481 * (-0.58125 + 0.16027)))))) * 0.16346) - x)))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.fn b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.fn new file mode 100644 index 0000000..13828c0 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * x) + (x + (x * (((x * x) * x) - (x * (((sin((x + x)) / (exp((exp((x * (((x * x) * x) - (-0.30292 - x)))) / 0.91093)) * ((x * (((x * x) * (x + 0.83823)) - log((0.68915 / exp(0.66163))))) + (cos(cos(x)) / (0.72481 * (-0.58125 + 0.16027)))))) * 0.16346) - x)))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.gen b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.his b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.his new file mode 100644 index 0000000..b81e80c --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.his @@ -0,0 +1,428 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13037.8069 + standardized fitness: 13037.8069 + adjusted fitness: 0.0001 +TREE: + (+ (cos (cos (+ (exp -0.22801) + (sin x)))) + (- (exp (exp (sin x))) + (* (+ (log 0.41611) + (exp x)) + (- (/ x -0.93343) + (log x))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 12 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 12735.3334 + standardized fitness: 12735.3334 + adjusted fitness: 0.0001 +TREE: + (+ (sin 0.28256) + (+ -0.90127 + (* (/ x 0.10777) + (+ x x)))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 19 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5635.8123 + standardized fitness: 5635.8123 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ 0.99725 x)) + (* x + (- (* (* x x) x) + (+ (- x 0.26844) + (log 0.57738))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 19 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5635.8123 + standardized fitness: 5635.8123 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ 0.99725 x)) + (* x + (- (* (* x x) x) + (+ (- x 0.26844) + (log 0.57738))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 26 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5624.4940 + standardized fitness: 5624.4940 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ 0.99725 x)) + (* x + (- (* (* x x) x) + (+ (- x 0.26844) + (* (* (cos x) x) + (* (sin x) 0.91092)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 31 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5604.2666 + standardized fitness: 5604.2666 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ 0.99725 x)) + (* x + (- (* (* x x) x) + (+ (- x 0.26844) + (* (* (- (* 0.99265 -0.92599) + (/ -0.39194 x)) x) + (* (sin x) 0.91092)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 26 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3797.7019 + standardized fitness: 3797.7019 + adjusted fitness: 0.0003 +TREE: + (+ (exp (+ 0.99725 x)) + (* x + (- (* (* x x) x) + (+ (- x 0.26844) + (+ (sin (- (sin (* x -0.18516)) x)) x))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 22 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3390.8615 + standardized fitness: 3390.8615 + adjusted fitness: 0.0003 +TREE: + (+ (exp (+ 0.99725 x)) + (* x + (- (* (* x x) x) + (+ (- x 0.26844) + (+ (- x 0.82540) x))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 15 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1840.8043 + standardized fitness: 1840.8043 + adjusted fitness: 0.0005 +TREE: + (+ (sin (sin x)) + (* x + (- (* (* x x) + (+ x 0.83823)) -0.80493))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 25 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1760.5873 + standardized fitness: 1760.5873 + adjusted fitness: 0.0006 +TREE: + (+ (sin (sin (/ (+ x x) + (+ (* -0.86818 -0.15635) + (/ x 0.25981))))) + (* x + (- (* (* x x) + (+ x 0.83823)) -0.80493))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 35 + depth: 7 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 1379.9212 + standardized fitness: 1379.9212 + adjusted fitness: 0.0007 +TREE: + (+ (* (* x x) x) + (* x + (- (* (* x x) x) + (* (- (- (log x) + (/ -0.27020 0.64980)) + (* (* x -0.69251) + (log -0.26737))) + (- -0.99016 + (- (sin -0.91957) + (log x))))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 25 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 426.5962 + standardized fitness: 426.5962 + adjusted fitness: 0.0023 +TREE: + (+ (- (exp (- (cos 0.96108) + (* -0.64883 x))) + (log (log (+ -0.21883 -0.68916)))) + (* x + (- (* (* x x) + (+ x 0.83823)) -0.80493))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 22 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 379.1620 + standardized fitness: 379.1620 + adjusted fitness: 0.0026 +TREE: + (+ (- (exp (- (cos 0.96108) + (* -0.64883 x))) + (cos x)) + (* x + (- (* (* x x) + (+ x 0.83823)) -0.80493))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 34 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 280.6181 + standardized fitness: 280.6181 + adjusted fitness: 0.0036 +TREE: + (+ (- (* (* x x) x) + (+ 0.09973 + (* (* (- (* 0.99265 -0.92599) + (/ -0.39194 x)) x) + (log (- x 0.26844))))) + (* x + (- (* (* x x) x) + (- -0.30292 x)))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 19.9538 + standardized fitness: 19.9538 + adjusted fitness: 0.0477 +TREE: + (+ (- (* (* x x) x) + (+ 0.09973 + (* x -0.69251))) + (* x + (- (* (* x x) x) + (- -0.30292 x)))) +=== BEST-OF-RUN === + current generation: 15 + generation: 14 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 19.9538 + standardized fitness: 19.9538 + adjusted fitness: 0.0477 +TREE: + (+ (- (* (* x x) x) + (+ 0.09973 + (* x -0.69251))) + (* x + (- (* (* x x) x) + (- -0.30292 x)))) +=== BEST-OF-RUN === + current generation: 16 + generation: 14 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 19.9538 + standardized fitness: 19.9538 + adjusted fitness: 0.0477 +TREE: + (+ (- (* (* x x) x) + (+ 0.09973 + (* x -0.69251))) + (* x + (- (* (* x x) x) + (- -0.30292 x)))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 21 + depth: 5 + hits: 74 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 74 + raw fitness: 2.3694 + standardized fitness: 2.3694 + adjusted fitness: 0.2968 +TREE: + (+ (- (* (* x x) x) + (* x -0.69251)) + (* x + (- (* (* x x) x) + (- -0.30292 x)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 66 + depth: 16 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.1004 + standardized fitness: 0.1004 + adjusted fitness: 0.9088 +TREE: + (+ (* x x) + (+ x + (* x + (- (* (* x x) x) + (* x + (- (* (/ (sin (+ x x)) + (* (exp (/ (exp (* x + (- (* (* x x) x) + (- -0.30292 x)))) 0.91093)) + (+ (* x + (- (* (* x x) + (+ x 0.83823)) + (log (/ 0.68915 + (exp 0.66163))))) + (/ (cos (cos x)) + (* 0.72481 + (+ -0.58125 0.16027)))))) 0.16346) x)))))) diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.prg b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.prg new file mode 100644 index 0000000..baca39a --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -0.64301, y = -0.32446 + x = 2.76958, y = 90.52257 + x = -0.20907, y = -0.17259 + x = -3.54813, y = 122.86210 + x = -0.00055, y = -0.00055 + x = -1.92037, y = 8.28555 + x = 1.85331, y = 23.45146 + x = 2.09148, y = 34.74869 + x = 4.93864, y = 744.66207 + x = -0.73997, y = -0.29777 + x = -2.71883, y = 39.21778 + x = -0.97088, y = -0.05492 + x = 0.50116, y = 0.94127 + x = 2.66743, y = 79.38811 + x = 4.25748, y = 428.11320 + x = -1.37224, y = 1.47269 + x = 2.01960, y = 30.97223 + x = -3.33305, y = 94.16316 + x = 0.81917, y = 2.49017 + x = 1.58929, y = 14.50945 + x = 0.66763, y = 1.60962 + x = -2.75742, y = 41.69143 + x = 4.25225, y = 426.16535 + x = -0.95121, y = -0.08841 + x = -0.33637, y = -0.24848 + x = 4.16815, y = 395.79308 + x = 2.59187, y = 71.84971 + x = 3.80374, y = 282.64151 + x = 2.31844, y = 49.04792 + x = -2.63009, y = 33.94374 + x = 2.93732, y = 111.34716 + x = -3.14069, y = 73.04077 + x = 3.35456, y = 178.98800 + x = 4.14199, y = 386.69089 + x = -4.17799, y = 245.04652 + x = 1.22901, y = 6.87739 + x = -0.13318, y = -0.11749 + x = -4.76992, y = 427.11682 + x = -3.39087, y = 101.32226 + x = -3.99310, y = 202.51990 + x = 4.11737, y = 378.26706 + x = -4.20596, y = 252.01890 + x = -2.89247, y = 51.27046 + x = -2.55782, y = 30.05385 + x = -4.60025, y = 367.05279 + x = 2.21192, y = 41.86397 + x = -2.69834, y = 37.94932 + x = -3.44283, y = 108.09785 + x = 4.92496, y = 736.95022 + x = 0.69880, y = 1.76682 + x = 1.83967, y = 22.90420 + x = -4.37796, y = 298.23399 + x = -0.63571, y = -0.32517 + x = -3.43118, y = 106.55051 + x = 3.76386, y = 271.94551 + x = -2.50232, y = 27.29835 + x = 4.41503, y = 489.92296 + x = 0.64894, y = 1.52068 + x = -4.37014, y = 296.00569 + x = 3.77044, y = 273.68917 + x = 3.21281, y = 153.24446 + x = 1.62324, y = 15.47786 + x = 0.48234, y = 0.88134 + x = 3.93173, y = 319.13562 + x = 0.14265, y = 0.16632 + x = -3.51288, y = 117.76029 + x = -3.07842, y = 67.03198 + x = -1.94102, y = 8.70813 + x = 2.26768, y = 45.51551 + x = -2.95444, y = 56.17604 + x = -3.67391, y = 142.41979 + x = 0.46243, y = 0.82088 + x = -3.25800, y = 85.44373 + x = -4.87964, y = 469.69900 + x = 4.74963, y = 643.36174 + x = 0.04559, y = 0.04777 + x = 2.87829, y = 103.64214 + x = 2.68343, y = 81.05853 + x = 0.28493, y = 0.39584 + x = -2.83405, y = 46.94567 + x = 4.75312, y = 645.13370 + x = -3.05707, y = 65.05999 + x = 3.17388, y = 146.69537 + x = 3.54800, y = 219.26456 + x = -0.84289, y = -0.22651 + x = -3.68592, y = 144.40272 + x = 1.37697, y = 9.47881 + x = 4.42282, y = 493.14757 + x = -1.00066, y = 0.00132 + x = 4.33488, y = 457.69378 + x = -0.69257, y = -0.31504 + x = -3.19216, y = 78.30385 + x = -2.03761, y = 10.89216 + x = 4.56357, y = 554.16174 + x = 4.68081, y = 609.19458 + x = -1.34506, y = 1.30379 + x = 4.05205, y = 356.58871 + x = -3.01283, y = 61.11106 + x = -2.30745, y = 19.07963 + x = 0.35416, y = 0.53975 + x = 4.33363, y = 457.20218 + x = -0.38177, y = -0.27042 + x = 1.27224, y = 7.56984 + x = 2.75901, y = 89.31738 + x = 0.94568, y = 3.48552 + x = -0.10326, y = -0.09359 + x = -2.55184, y = 29.74743 + x = 0.81629, y = 2.47054 + x = 2.41171, y = 56.08518 + x = 2.44978, y = 59.17043 + x = 1.12071, y = 5.36184 + x = 4.99220, y = 775.44104 + x = -3.35040, y = 96.27085 + x = -3.70503, y = 147.59917 + x = -0.53699, y = -0.32033 + x = 1.40497, y = 10.04866 + x = -1.33916, y = 1.26870 + x = 0.91877, y = 3.25104 + x = 4.25093, y = 425.67508 + x = -3.51229, y = 117.67701 + x = -2.56492, y = 30.42072 + x = 4.93441, y = 742.27532 + x = -4.63357, y = 378.31412 + x = -3.08648, y = 67.78829 + x = -2.28807, y = 18.37639 + x = 1.70786, y = 18.11375 + x = 4.19019, y = 403.59193 + x = -1.01701, y = 0.03519 + x = -0.82532, y = -0.24237 + x = -0.14711, y = -0.12819 + x = -2.40257, y = 22.82125 + x = -2.93800, y = 54.84222 + x = -4.72828, y = 411.73856 + x = 2.83515, y = 98.27340 + x = 1.04524, y = 4.47330 + x = 4.76092, y = 649.10231 + x = -4.70667, y = 403.92406 + x = 1.87891, y = 24.50529 + x = -0.91502, y = -0.14287 + x = 2.75214, y = 88.54129 + x = 2.65324, y = 77.92792 + x = -4.54180, y = 347.91002 + x = -4.82810, y = 449.31929 + x = -2.48837, y = 26.63635 + x = 1.89981, y = 25.39279 + x = -0.62699, y = -0.32581 + x = -3.55859, y = 124.40622 + x = -3.95113, y = 193.69359 + x = 1.85164, y = 23.38371 + x = -2.02705, y = 10.63619 + x = -0.53525, y = -0.32002 + x = 0.06906, y = 0.07418 + x = 2.81249, y = 95.53875 + x = 2.83966, y = 98.82465 + x = -2.24327, y = 16.82388 + x = 2.27163, y = 45.78289 + x = -0.65349, y = -0.32314 + x = 3.43708, y = 195.41425 + x = -3.28623, y = 88.64911 + x = 1.18476, y = 6.22172 + x = -0.39659, y = -0.27695 + x = 0.56925, y = 1.18277 + x = -3.26869, y = 86.64732 + x = 4.65957, y = 598.93158 + x = 4.79654, y = 667.46954 + x = 0.66251, y = 1.58487 + x = 4.82031, y = 679.93811 + x = 4.13797, y = 385.30383 + x = -0.60483, y = -0.32645 + x = -4.91000, y = 482.02781 + x = -0.03644, y = -0.03516 + x = -2.38803, y = 22.21719 + x = 4.06713, y = 361.50838 + x = 1.27797, y = 7.66582 + x = 2.02296, y = 31.14149 + x = 2.36602, y = 52.54719 + x = -2.87807, y = 50.17818 + x = -2.47324, y = 25.93155 + x = 4.15679, y = 391.82131 + x = 0.44030, y = 0.75712 + x = -2.63865, y = 34.42845 + x = -4.24689, y = 262.49143 + x = -2.73078, y = 39.97181 + x = 2.98992, y = 118.57513 + x = -4.75052, y = 419.89920 + x = 2.02818, y = 31.40554 + x = -4.66931, y = 390.67640 + x = -4.38785, y = 301.07188 + x = 3.03861, y = 125.57907 + x = -4.61727, y = 372.77438 + x = 4.94061, y = 745.77972 + x = -3.84464, y = 172.59299 + x = -2.51626, y = 27.97205 + x = -1.00502, y = 0.01013 + x = -2.21142, y = 15.78008 + x = 0.04127, y = 0.04305 + x = -3.60893, y = 132.04575 + x = -1.10608, y = 0.26087 + x = 0.48867, y = 0.90119 + x = 4.53379, y = 540.80017 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.stt b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.stt new file mode 100644 index 0000000..d565c1b --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.stt @@ -0,0 +1,20 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.173 3.666 25 5 20 6 0.0000 0.0001 0.0000 13.173 3.666 25 5 20 6 +1 0 0.0000 0.0001 0.0000 12.930 4.084 12 4 28 8 0.0000 0.0001 0.0000 13.051 3.875 12 4 20 6 +2 0 0.0000 0.0002 0.0000 13.725 4.446 19 5 44 9 0.0000 0.0002 0.0000 13.276 4.065 19 5 20 6 +3 0 0.0000 0.0002 0.0000 14.343 4.740 19 5 24 7 0.0000 0.0002 0.0000 13.543 4.234 19 5 20 6 +4 0 0.0000 0.0002 0.0000 15.018 4.956 26 7 17 8 0.0000 0.0002 0.0000 13.838 4.378 26 7 20 6 +5 0 0.0000 0.0002 0.0000 15.893 5.224 31 8 9 5 0.0000 0.0002 0.0000 14.180 4.519 31 8 20 6 +6 0 0.0000 0.0003 0.0000 16.829 5.492 26 9 38 15 0.0000 0.0003 0.0000 14.559 4.658 26 9 20 6 +7 0 0.0000 0.0003 0.0000 17.781 5.735 22 6 12 7 0.0000 0.0003 0.0000 14.961 4.793 22 6 20 6 +8 0 0.0000 0.0005 0.0000 19.461 6.082 15 5 14 5 0.0000 0.0005 0.0000 15.461 4.936 15 5 20 6 +9 0 0.0001 0.0006 0.0000 22.515 6.724 25 6 24 10 0.0000 0.0006 0.0000 16.167 5.115 25 6 20 6 +10 0 0.0001 0.0007 0.0000 26.171 7.375 35 7 16 6 0.0000 0.0007 0.0000 17.076 5.320 35 7 20 6 +11 0 0.0001 0.0023 0.0000 29.812 8.053 25 5 57 12 0.0000 0.0023 0.0000 18.137 5.548 25 5 20 6 +12 0 0.0001 0.0026 0.0000 33.424 8.632 22 5 29 7 0.0001 0.0026 0.0000 19.313 5.785 22 5 20 6 +13 0 0.0002 0.0036 0.0000 37.391 9.231 34 7 65 17 0.0001 0.0036 0.0000 20.605 6.031 34 7 20 6 +14 0 0.0003 0.0477 0.0000 40.962 9.810 23 5 80 17 0.0001 0.0477 0.0000 21.962 6.283 23 5 20 6 +15 0 0.0006 0.0477 0.0000 43.616 10.028 23 5 33 8 0.0001 0.0477 0.0000 23.315 6.517 23 5 20 6 +16 0 0.0009 0.0477 0.0000 42.544 9.541 23 5 27 7 0.0002 0.0477 0.0000 24.446 6.695 23 5 20 6 +17 0 0.0018 0.2968 0.0000 38.789 8.628 21 5 56 13 0.0003 0.2968 0.0000 25.243 6.803 21 5 20 6 +18 0 0.0182 0.9088 0.0000 36.391 8.558 66 16 27 8 0.0012 0.9088 0.0000 25.830 6.895 66 16 20 6 diff --git a/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.sys b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.sys new file mode 100644 index 0000000..5bf1ce4 --- /dev/null +++ b/PartA/crossover_100_mutation_100_elitism_2/run_9/regress.sys @@ -0,0 +1,107 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1467. +creating initial population(s): + 5600 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 54475842 + freed: 54114906 + not freed: 360936 + max allocated: 5614101 + malloc'ed blocks: 280245 + realloc'ed blocks: 11 + free'ed blocks: 280191 + +------- time ------- + overall: 2s wall + evaluation: 1s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 60245 + freed: 60245 + allocated: 16000 + blocks: 31 diff --git a/PartA/crossover_90_mutation_10_elitism_0/aggregated.tsv b/PartA/crossover_90_mutation_10_elitism_0/aggregated.tsv new file mode 100644 index 0000000..2766323 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/aggregated.tsv @@ -0,0 +1,54 @@ +Runs Generation Count Mean: 42 +Runs Generation Count Mode: 50 occurred (7) time(s) +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0 0.00013 0 13.0037 3.6679 21 4 22 5 0 0.00013 0 13.0037 3.6679 21 4 22 5 +1 0 0 0.00011 0 12.3673 3.8668 22 4 9 4 0 0.00013 0 12.6854 3.7673 21 4 20 5 +2 0 0 0.00012 0 12.3627 4.0359 23 4 20 5 0 0.00014 0 12.5779 3.8569 25 4 20 5 +3 0 0 0.00013 0 12.3978 4.1474 21 5 12 5 0 0.00015 0 12.5327 3.9295 20 4 20 5 +4 0 0 0.0002 0 12.5401 4.2664 21 5 17 5 0 0.0002 0 12.5342 3.9969 21 5 20 5 +5 0 0 0.00029 0 12.7373 4.351 25 5 16 6 0 0.00029 0 12.5682 4.0559 24 4 21 6 +6 0 0 0.00043 0 13.2322 4.4751 28 7 16 5 0 0.00044 0 12.6629 4.1158 25 6 21 6 +7 0 2e-05 0.00059 0 14.5087 4.7328 31 6 22 7 0 0.0006 0 12.8937 4.193 31 6 21 6 +8 0 4e-05 0.00098 0 16.896 5.1569 29 7 28 8 1e-05 0.00098 0 13.3385 4.3 29 7 21 6 +9 0 0.00011 0.00142 0 20.0375 5.7386 23 6 33 7 3e-05 0.00142 0 14.0086 4.4439 23 6 21 6 +10 0 0.0002 0.10179 0 23.1455 6.2997 30 7 31 7 6e-05 0.10188 0 14.839 4.6127 23 6 21 6 +11 0 0.00017 0.00243 0 23.9502 6.2108 27 7 28 7 5e-05 0.00251 0 14.4012 4.3466 23 6 17 5 +12 0 0.00022 0.00209 0 26.4197 6.6151 29 7 34 8 6e-05 0.00256 0 15.3258 4.5212 23 6 17 5 +13 0 0.00026 0.00218 0 28.988 7.0457 35 8 32 9 7e-05 0.00265 0 16.3016 4.7016 27 7 17 5 +14 0 0.00035 0.00238 0 31.9373 7.5095 34 7 45 10 0.0001 0.00275 0 17.344 4.8886 24 6 17 5 +15 0 0.00047 0.00264 0 34.7186 7.9494 38 8 58 11 0.00011 0.00288 0 18.4297 5.08 29 7 17 5 +16 0 0.00056 0.00309 0 37.3934 8.3373 30 6 38 8 0.00015 0.00311 0 19.5454 5.2715 27 6 17 5 +17 0 0.00067 0.00395 0 39.7441 8.6536 38 8 52 10 0.00018 0.00402 0 20.6675 5.4595 31 7 17 5 +18 0 0.00074 0.00383 0 41.7076 8.9188 38 7 46 9 0.00021 0.00438 0 21.7748 5.6415 40 8 17 5 +19 0 0.00085 0.00387 0 43.314 9.1726 34 8 73 12 0.00025 0.00441 0 22.852 5.818 41 9 17 5 +20 0 0.00091 0.00387 0 44.8477 9.4017 49 9 62 11 0.00027 0.00467 0 23.8993 5.9887 44 9 17 5 +21 0 0.00105 0.00466 0 46.6155 9.6548 44 8 47 9 0.00032 0.00512 0 24.9319 6.1555 44 9 17 5 +22 0 0.00115 0.01107 0 48.2373 9.8518 48 10 50 10 0.00035 0.01109 0 25.945 6.3162 44 10 17 5 +23 0 0.00127 0.01195 0 50.0907 10.0674 49 10 61 10 0.00039 0.0122 0 26.9513 6.4725 43 9 17 5 +24 0 0.00217 0.01244 0 51.4262 10.2245 51 9 41 9 0.00045 0.01266 0 27.9301 6.6224 48 9 17 5 +25 0 0.00415 0.01294 0 52.8199 10.3886 46 9 53 10 0.0006 0.01325 0 28.8874 6.7675 42 9 17 5 +26 0 0.00457 0.01885 0 54.4409 10.5467 50 9 44 9 0.00075 0.01885 0 29.8339 6.9074 49 9 17 5 +27 0 0.0047 0.01912 0 56.1528 10.6779 47 10 63 12 0.00089 0.01914 0 30.7738 7.0419 49 9 17 5 +28 0 0.00485 0.1305 0 57.8071 10.822 51 10 72 11 0.00102 0.1305 0 31.7061 7.1723 52 9 17 5 +29 0 0.00499 0.03082 0 55.4609 9.8436 79 12 60 9 0.00113 0.0309 0 30.5131 6.6313 63 10 16 4 +30 0 0.00527 0.03191 0 57.2159 9.9802 67 11 63 10 0.00126 0.03194 0 31.3744 6.7393 61 9 16 4 +31 0 0.00611 0.05786 0 59.3277 10.1387 66 10 74 11 0.00141 0.05797 0 32.2478 6.8455 63 9 16 4 +32 0 0.00782 0.06398 0 61.2103 10.2798 69 10 47 9 0.00161 0.06413 0 33.1256 6.9497 55 9 16 4 +33 0 0.00143 0.00332 0 57.5509 9.0645 48 8 53 8 0.0006 0.00344 0 30.8115 6.1834 42 7 15 4 +34 0 0.00145 0.00331 0 59.0941 9.1686 63 9 71 8 0.00064 0.00344 0 31.6194 6.2688 42 7 15 4 +35 0 0.00148 0.00331 0 60.6663 9.2754 54 8 62 9 0.00066 0.00344 0 32.4264 6.3522 42 7 15 4 +36 0 0.00151 0.00339 0 62.3083 9.4 69 10 81 10 0.00068 0.00347 0 33.2339 6.4346 55 9 15 4 +37 0 0.00153 0.00333 0 63.6233 9.4654 61 10 57 10 0.00069 0.00348 0 34.0338 6.5146 56 9 15 4 +38 0 0.00156 0.00314 0 65.0876 9.5284 72 10 77 11 0.00073 0.00349 0 34.83 6.5917 62 9 15 4 +39 0 0.00158 0.00359 0 66.5814 9.5909 57 9 68 10 0.00075 0.00368 0 35.6239 6.6669 57 10 15 4 +40 0 0.0016 0.00373 0 67.953 9.6398 72 10 68 9 0.00077 0.00376 0 36.4122 6.7392 67 10 15 4 +41 0 0.0016 0.00325 0 69.7645 9.7153 71 9 71 10 0.00079 0.00377 0 37.2063 6.81 73 10 15 4 +42 0 0.00161 0.00316 0 71.1871 9.7876 66 10 72 10 0.00081 0.00377 0 37.9967 6.8793 72 10 15 4 +43 0 0.00164 0.00316 0 72.3 9.8335 59 8 71 9 0.00082 0.00377 0 38.7764 6.9464 68 9 15 4 +44 0 0.00166 0.00326 0 73.341 9.8662 61 9 65 10 0.00084 0.00377 0 39.5445 7.0115 72 10 15 4 +45 0 0.00167 0.00364 0 74.3708 9.9213 68 9 72 8 0.00087 0.00378 0 40.3015 7.0748 72 10 15 4 +46 0 0.00168 0.0038 0 75.3003 9.9371 68 9 79 10 0.00088 0.00384 0 41.0462 7.1357 67 10 15 4 +47 0 0.00168 0.0038 0 76.2784 9.9721 74 10 72 9 0.0009 0.00385 0 41.7801 7.1946 67 10 15 4 +48 0 0.0017 0.00399 0 77.1385 10.0076 75 10 61 10 0.00091 0.00408 0 42.5017 7.2521 65 10 15 4 +49 0 0.00171 0.00391 0 78.2643 10.0559 79 9 87 9 0.00092 0.00414 0 43.217 7.3082 70 10 15 4 +50 0 0.00174 0.00406 0 79.0369 10.0992 82 10 91 10 0.00096 0.00417 0 43.9195 7.3627 66 10 15 4 diff --git a/PartA/crossover_90_mutation_10_elitism_0/crossover_90_mutation_10_elitism_0.tsv b/PartA/crossover_90_mutation_10_elitism_0/crossover_90_mutation_10_elitism_0.tsv new file mode 100644 index 0000000..f6c6180 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/crossover_90_mutation_10_elitism_0.tsv @@ -0,0 +1,483 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +=AVERAGE(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =AVERAGE(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =AVERAGE(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =AVERAGE(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =AVERAGE(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =AVERAGE(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =AVERAGE(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =AVERAGE(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =AVERAGE(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =AVERAGE(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =AVERAGE(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =AVERAGE(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =AVERAGE(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =AVERAGE(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =AVERAGE(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =AVERAGE(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =AVERAGE(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =AVERAGE(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =AVERAGE(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =AVERAGE(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =STDEV.P(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =STDEV.P(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =STDEV.P(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =STDEV.P(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =STDEV.P(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =STDEV.P(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =STDEV.P(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =STDEV.P(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =STDEV.P(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =STDEV.P(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =STDEV.P(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =STDEV.P(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =STDEV.P(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =STDEV.P(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =STDEV.P(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =STDEV.P(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =STDEV.P(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =STDEV.P(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =STDEV.P(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22, a23, a24, a25, a26, a27, a28, a29, a30, a31, a32, a33, a34, a35, a36, a37, a38, a39, a40, a41, a42, a43, a44, a45, a46, a47, a48, a49, a50, a51, a52) =STDEV.P(b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16, b17, b18, b19, b20, b21, b22, b23, b24, b25, b26, b27, b28, b29, b30, b31, b32, b33, b34, b35, b36, b37, b38, b39, b40, b41, b42, b43, b44, b45, b46, b47, b48, b49, b50, b51, b52) =STDEV.P(c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29, c30, c31, c32, c33, c34, c35, c36, c37, c38, c39, c40, c41, c42, c43, c44, c45, c46, c47, c48, c49, c50, c51, c52) =STDEV.P(d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, d16, d17, d18, d19, d20, d21, d22, d23, d24, d25, d26, d27, d28, d29, d30, d31, d32, d33, d34, d35, d36, d37, d38, d39, d40, d41, d42, d43, d44, d45, d46, d47, d48, d49, d50, d51, d52) =STDEV.P(e2, e3, e4, e5, e6, e7, e8, e9, e10, e11, e12, e13, e14, e15, e16, e17, e18, e19, e20, e21, e22, e23, e24, e25, e26, e27, e28, e29, e30, e31, e32, e33, e34, e35, e36, e37, e38, e39, e40, e41, e42, e43, e44, e45, e46, e47, e48, e49, e50, e51, e52) =STDEV.P(f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f23, f24, f25, f26, f27, f28, f29, f30, f31, f32, f33, f34, f35, f36, f37, f38, f39, f40, f41, f42, f43, f44, f45, f46, f47, f48, f49, f50, f51, f52) =STDEV.P(g2, g3, g4, g5, g6, g7, g8, g9, g10, g11, g12, g13, g14, g15, g16, g17, g18, g19, g20, g21, g22, g23, g24, g25, g26, g27, g28, g29, g30, g31, g32, g33, g34, g35, g36, g37, g38, g39, g40, g41, g42, g43, g44, g45, g46, g47, g48, g49, g50, g51, g52) =STDEV.P(h2, h3, h4, h5, h6, h7, h8, h9, h10, h11, h12, h13, h14, h15, h16, h17, h18, h19, h20, h21, h22, h23, h24, h25, h26, h27, h28, h29, h30, h31, h32, h33, h34, h35, h36, h37, h38, h39, h40, h41, h42, h43, h44, h45, h46, h47, h48, h49, h50, h51, h52) =STDEV.P(i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13, i14, i15, i16, i17, i18, i19, i20, i21, i22, i23, i24, i25, i26, i27, i28, i29, i30, i31, i32, i33, i34, i35, i36, i37, i38, i39, i40, i41, i42, i43, i44, i45, i46, i47, i48, i49, i50, i51, i52) =STDEV.P(j2, j3, j4, j5, j6, j7, j8, j9, j10, j11, j12, j13, j14, j15, j16, j17, j18, j19, j20, j21, j22, j23, j24, j25, j26, j27, j28, j29, j30, j31, j32, j33, j34, j35, j36, j37, j38, j39, j40, j41, j42, j43, j44, j45, j46, j47, j48, j49, j50, j51, j52) =STDEV.P(k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12, k13, k14, k15, k16, k17, k18, k19, k20, k21, k22, k23, k24, k25, k26, k27, k28, k29, k30, k31, k32, k33, k34, k35, k36, k37, k38, k39, k40, k41, k42, k43, k44, k45, k46, k47, k48, k49, k50, k51, k52) =STDEV.P(l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12, l13, l14, l15, l16, l17, l18, l19, l20, l21, l22, l23, l24, l25, l26, l27, l28, l29, l30, l31, l32, l33, l34, l35, l36, l37, l38, l39, l40, l41, l42, l43, l44, l45, l46, l47, l48, l49, l50, l51, l52) =STDEV.P(m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, m16, m17, m18, m19, m20, m21, m22, m23, m24, m25, m26, m27, m28, m29, m30, m31, m32, m33, m34, m35, m36, m37, m38, m39, m40, m41, m42, m43, m44, m45, m46, m47, m48, m49, m50, m51, m52) =STDEV.P(n2, n3, n4, n5, n6, n7, n8, n9, n10, n11, n12, n13, n14, n15, n16, n17, n18, n19, n20, n21, n22, n23, n24, n25, n26, n27, n28, n29, n30, n31, n32, n33, n34, n35, n36, n37, n38, n39, n40, n41, n42, n43, n44, n45, n46, n47, n48, n49, n50, n51, n52) =STDEV.P(o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12, o13, o14, o15, o16, o17, o18, o19, o20, o21, o22, o23, o24, o25, o26, o27, o28, o29, o30, o31, o32, o33, o34, o35, o36, o37, o38, o39, o40, o41, o42, o43, o44, o45, o46, o47, o48, o49, o50, o51, o52) =STDEV.P(p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, p50, p51, p52) =STDEV.P(q2, q3, q4, q5, q6, q7, q8, q9, q10, q11, q12, q13, q14, q15, q16, q17, q18, q19, q20, q21, q22, q23, q24, q25, q26, q27, q28, q29, q30, q31, q32, q33, q34, q35, q36, q37, q38, q39, q40, q41, q42, q43, q44, q45, q46, q47, q48, q49, q50, q51, q52) =STDEV.P(r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r34, r35, r36, r37, r38, r39, r40, r41, r42, r43, r44, r45, r46, r47, r48, r49, r50, r51, r52) =STDEV.P(s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15, s16, s17, s18, s19, s20, s21, s22, s23, s24, s25, s26, s27, s28, s29, s30, s31, s32, s33, s34, s35, s36, s37, s38, s39, s40, s41, s42, s43, s44, s45, s46, s47, s48, s49, s50, s51, s52) =STDEV.P(t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t21, t22, t23, t24, t25, t26, t27, t28, t29, t30, t31, t32, t33, t34, t35, t36, t37, t38, t39, t40, t41, t42, t43, t44, t45, t46, t47, t48, t49, t50, t51, t52) +=AVERAGE(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =AVERAGE(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =AVERAGE(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =AVERAGE(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =AVERAGE(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =AVERAGE(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =AVERAGE(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =AVERAGE(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =AVERAGE(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =AVERAGE(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =AVERAGE(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =AVERAGE(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =AVERAGE(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =AVERAGE(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =AVERAGE(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =AVERAGE(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =AVERAGE(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =AVERAGE(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =AVERAGE(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =AVERAGE(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) =STDEV.P(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =STDEV.P(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =STDEV.P(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =STDEV.P(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =STDEV.P(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =STDEV.P(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =STDEV.P(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =STDEV.P(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =STDEV.P(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =STDEV.P(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =STDEV.P(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =STDEV.P(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =STDEV.P(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =STDEV.P(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =STDEV.P(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =STDEV.P(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =STDEV.P(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =STDEV.P(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =STDEV.P(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =STDEV.P(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) +=AVERAGE(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =AVERAGE(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =AVERAGE(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =AVERAGE(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =AVERAGE(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =AVERAGE(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =AVERAGE(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =AVERAGE(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =AVERAGE(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =AVERAGE(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =AVERAGE(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =AVERAGE(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =AVERAGE(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =AVERAGE(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =AVERAGE(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =AVERAGE(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =AVERAGE(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =AVERAGE(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =AVERAGE(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =AVERAGE(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) =STDEV.P(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =STDEV.P(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =STDEV.P(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =STDEV.P(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =STDEV.P(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =STDEV.P(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =STDEV.P(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =STDEV.P(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =STDEV.P(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =STDEV.P(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =STDEV.P(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =STDEV.P(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =STDEV.P(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =STDEV.P(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =STDEV.P(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =STDEV.P(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =STDEV.P(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =STDEV.P(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =STDEV.P(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =STDEV.P(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) +=AVERAGE(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =AVERAGE(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =AVERAGE(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =AVERAGE(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =AVERAGE(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =AVERAGE(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =AVERAGE(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =AVERAGE(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =AVERAGE(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =AVERAGE(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =AVERAGE(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =AVERAGE(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =AVERAGE(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =AVERAGE(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =AVERAGE(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =AVERAGE(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =AVERAGE(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =AVERAGE(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =AVERAGE(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =AVERAGE(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) =STDEV.P(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =STDEV.P(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =STDEV.P(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =STDEV.P(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =STDEV.P(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =STDEV.P(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =STDEV.P(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =STDEV.P(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =STDEV.P(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =STDEV.P(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =STDEV.P(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =STDEV.P(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =STDEV.P(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =STDEV.P(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =STDEV.P(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =STDEV.P(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =STDEV.P(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =STDEV.P(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =STDEV.P(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =STDEV.P(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) +=AVERAGE(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =AVERAGE(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =AVERAGE(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =AVERAGE(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =AVERAGE(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =AVERAGE(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =AVERAGE(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =AVERAGE(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =AVERAGE(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =AVERAGE(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =AVERAGE(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =AVERAGE(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =AVERAGE(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =AVERAGE(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =AVERAGE(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =AVERAGE(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =AVERAGE(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =AVERAGE(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =AVERAGE(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =AVERAGE(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) =STDEV.P(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =STDEV.P(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =STDEV.P(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =STDEV.P(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =STDEV.P(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =STDEV.P(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =STDEV.P(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =STDEV.P(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =STDEV.P(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =STDEV.P(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =STDEV.P(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =STDEV.P(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =STDEV.P(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =STDEV.P(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =STDEV.P(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =STDEV.P(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =STDEV.P(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =STDEV.P(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =STDEV.P(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =STDEV.P(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) +=AVERAGE(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =AVERAGE(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =AVERAGE(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =AVERAGE(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =AVERAGE(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =AVERAGE(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =AVERAGE(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =AVERAGE(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =AVERAGE(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =AVERAGE(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =AVERAGE(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =AVERAGE(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =AVERAGE(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =AVERAGE(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =AVERAGE(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =AVERAGE(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =AVERAGE(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =AVERAGE(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =AVERAGE(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =AVERAGE(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) =STDEV.P(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =STDEV.P(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =STDEV.P(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =STDEV.P(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =STDEV.P(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =STDEV.P(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =STDEV.P(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =STDEV.P(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =STDEV.P(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =STDEV.P(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =STDEV.P(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =STDEV.P(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =STDEV.P(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =STDEV.P(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =STDEV.P(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =STDEV.P(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =STDEV.P(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =STDEV.P(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =STDEV.P(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =STDEV.P(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) +=AVERAGE(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =AVERAGE(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =AVERAGE(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =AVERAGE(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =AVERAGE(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =AVERAGE(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =AVERAGE(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =AVERAGE(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =AVERAGE(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =AVERAGE(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =AVERAGE(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =AVERAGE(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =AVERAGE(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =AVERAGE(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =AVERAGE(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =AVERAGE(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =AVERAGE(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =AVERAGE(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =AVERAGE(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =AVERAGE(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) =STDEV.P(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =STDEV.P(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =STDEV.P(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =STDEV.P(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =STDEV.P(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =STDEV.P(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =STDEV.P(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =STDEV.P(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =STDEV.P(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =STDEV.P(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =STDEV.P(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =STDEV.P(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =STDEV.P(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =STDEV.P(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =STDEV.P(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =STDEV.P(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =STDEV.P(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =STDEV.P(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =STDEV.P(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =STDEV.P(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) +=AVERAGE(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =AVERAGE(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =AVERAGE(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =AVERAGE(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =AVERAGE(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =AVERAGE(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =AVERAGE(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =AVERAGE(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =AVERAGE(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =AVERAGE(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =AVERAGE(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =AVERAGE(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =AVERAGE(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =AVERAGE(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =AVERAGE(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =AVERAGE(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =AVERAGE(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =AVERAGE(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =AVERAGE(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =AVERAGE(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) =STDEV.P(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =STDEV.P(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =STDEV.P(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =STDEV.P(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =STDEV.P(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =STDEV.P(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =STDEV.P(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =STDEV.P(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =STDEV.P(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =STDEV.P(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =STDEV.P(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =STDEV.P(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =STDEV.P(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =STDEV.P(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =STDEV.P(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =STDEV.P(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =STDEV.P(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =STDEV.P(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =STDEV.P(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =STDEV.P(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) +=AVERAGE(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =AVERAGE(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =AVERAGE(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =AVERAGE(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =AVERAGE(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =AVERAGE(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =AVERAGE(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =AVERAGE(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =AVERAGE(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =AVERAGE(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =AVERAGE(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =AVERAGE(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =AVERAGE(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =AVERAGE(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =AVERAGE(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =AVERAGE(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =AVERAGE(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =AVERAGE(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =AVERAGE(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =AVERAGE(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) =STDEV.P(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =STDEV.P(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =STDEV.P(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =STDEV.P(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =STDEV.P(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =STDEV.P(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =STDEV.P(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =STDEV.P(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =STDEV.P(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =STDEV.P(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =STDEV.P(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =STDEV.P(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =STDEV.P(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =STDEV.P(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =STDEV.P(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =STDEV.P(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =STDEV.P(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =STDEV.P(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =STDEV.P(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =STDEV.P(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) +=AVERAGE(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =AVERAGE(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =AVERAGE(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =AVERAGE(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =AVERAGE(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =AVERAGE(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =AVERAGE(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =AVERAGE(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =AVERAGE(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =AVERAGE(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =AVERAGE(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =AVERAGE(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =AVERAGE(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =AVERAGE(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =AVERAGE(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =AVERAGE(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =AVERAGE(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =AVERAGE(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =AVERAGE(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =AVERAGE(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) =STDEV.P(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =STDEV.P(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =STDEV.P(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =STDEV.P(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =STDEV.P(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =STDEV.P(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =STDEV.P(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =STDEV.P(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =STDEV.P(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =STDEV.P(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =STDEV.P(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =STDEV.P(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =STDEV.P(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =STDEV.P(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =STDEV.P(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =STDEV.P(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =STDEV.P(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =STDEV.P(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =STDEV.P(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =STDEV.P(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) +=AVERAGE(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =AVERAGE(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =AVERAGE(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =AVERAGE(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =AVERAGE(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =AVERAGE(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =AVERAGE(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =AVERAGE(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =AVERAGE(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =AVERAGE(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =AVERAGE(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =AVERAGE(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =AVERAGE(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =AVERAGE(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =AVERAGE(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =AVERAGE(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =AVERAGE(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =AVERAGE(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =AVERAGE(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =AVERAGE(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) =STDEV.P(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =STDEV.P(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =STDEV.P(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =STDEV.P(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =STDEV.P(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =STDEV.P(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =STDEV.P(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =STDEV.P(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =STDEV.P(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =STDEV.P(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =STDEV.P(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =STDEV.P(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =STDEV.P(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =STDEV.P(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =STDEV.P(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =STDEV.P(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =STDEV.P(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =STDEV.P(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =STDEV.P(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =STDEV.P(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) +=AVERAGE(a164, a165, a166, a167, a168, a169, a170, a171, a172) =AVERAGE(b164, b165, b166, b167, b168, b169, b170, b171, b172) =AVERAGE(c164, c165, c166, c167, c168, c169, c170, c171, c172) =AVERAGE(d164, d165, d166, d167, d168, d169, d170, d171, d172) =AVERAGE(e164, e165, e166, e167, e168, e169, e170, e171, e172) =AVERAGE(f164, f165, f166, f167, f168, f169, f170, f171, f172) =AVERAGE(g164, g165, g166, g167, g168, g169, g170, g171, g172) =AVERAGE(h164, h165, h166, h167, h168, h169, h170, h171, h172) =AVERAGE(i164, i165, i166, i167, i168, i169, i170, i171, i172) =AVERAGE(j164, j165, j166, j167, j168, j169, j170, j171, j172) =AVERAGE(k164, k165, k166, k167, k168, k169, k170, k171, k172) =AVERAGE(l164, l165, l166, l167, l168, l169, l170, l171, l172) =AVERAGE(m164, m165, m166, m167, m168, m169, m170, m171, m172) =AVERAGE(n164, n165, n166, n167, n168, n169, n170, n171, n172) =AVERAGE(o164, o165, o166, o167, o168, o169, o170, o171, o172) =AVERAGE(p164, p165, p166, p167, p168, p169, p170, p171, p172) =AVERAGE(q164, q165, q166, q167, q168, q169, q170, q171, q172) =AVERAGE(r164, r165, r166, r167, r168, r169, r170, r171, r172) =AVERAGE(s164, s165, s166, s167, s168, s169, s170, s171, s172) =AVERAGE(t164, t165, t166, t167, t168, t169, t170, t171, t172) =STDEV.P(a164, a165, a166, a167, a168, a169, a170, a171, a172) =STDEV.P(b164, b165, b166, b167, b168, b169, b170, b171, b172) =STDEV.P(c164, c165, c166, c167, c168, c169, c170, c171, c172) =STDEV.P(d164, d165, d166, d167, d168, d169, d170, d171, d172) =STDEV.P(e164, e165, e166, e167, e168, e169, e170, e171, e172) =STDEV.P(f164, f165, f166, f167, f168, f169, f170, f171, f172) =STDEV.P(g164, g165, g166, g167, g168, g169, g170, g171, g172) =STDEV.P(h164, h165, h166, h167, h168, h169, h170, h171, h172) =STDEV.P(i164, i165, i166, i167, i168, i169, i170, i171, i172) =STDEV.P(j164, j165, j166, j167, j168, j169, j170, j171, j172) =STDEV.P(k164, k165, k166, k167, k168, k169, k170, k171, k172) =STDEV.P(l164, l165, l166, l167, l168, l169, l170, l171, l172) =STDEV.P(m164, m165, m166, m167, m168, m169, m170, m171, m172) =STDEV.P(n164, n165, n166, n167, n168, n169, n170, n171, n172) =STDEV.P(o164, o165, o166, o167, o168, o169, o170, o171, o172) =STDEV.P(p164, p165, p166, p167, p168, p169, p170, p171, p172) =STDEV.P(q164, q165, q166, q167, q168, q169, q170, q171, q172) =STDEV.P(r164, r165, r166, r167, r168, r169, r170, r171, r172) =STDEV.P(s164, s165, s166, s167, s168, s169, s170, s171, s172) =STDEV.P(t164, t165, t166, t167, t168, t169, t170, t171, t172) +=AVERAGE(a173, a174, a175, a176, a177, a178, a179, a180, a181) =AVERAGE(b173, b174, b175, b176, b177, b178, b179, b180, b181) =AVERAGE(c173, c174, c175, c176, c177, c178, c179, c180, c181) =AVERAGE(d173, d174, d175, d176, d177, d178, d179, d180, d181) =AVERAGE(e173, e174, e175, e176, e177, e178, e179, e180, e181) =AVERAGE(f173, f174, f175, f176, f177, f178, f179, f180, f181) =AVERAGE(g173, g174, g175, g176, g177, g178, g179, g180, g181) =AVERAGE(h173, h174, h175, h176, h177, h178, h179, h180, h181) =AVERAGE(i173, i174, i175, i176, i177, i178, i179, i180, i181) =AVERAGE(j173, j174, j175, j176, j177, j178, j179, j180, j181) =AVERAGE(k173, k174, k175, k176, k177, k178, k179, k180, k181) =AVERAGE(l173, l174, l175, l176, l177, l178, l179, l180, l181) =AVERAGE(m173, m174, m175, m176, m177, m178, m179, m180, m181) =AVERAGE(n173, n174, n175, n176, n177, n178, n179, n180, n181) =AVERAGE(o173, o174, o175, o176, o177, o178, o179, o180, o181) =AVERAGE(p173, p174, p175, p176, p177, p178, p179, p180, p181) =AVERAGE(q173, q174, q175, q176, q177, q178, q179, q180, q181) =AVERAGE(r173, r174, r175, r176, r177, r178, r179, r180, r181) =AVERAGE(s173, s174, s175, s176, s177, s178, s179, s180, s181) =AVERAGE(t173, t174, t175, t176, t177, t178, t179, t180, t181) =STDEV.P(a173, a174, a175, a176, a177, a178, a179, a180, a181) =STDEV.P(b173, b174, b175, b176, b177, b178, b179, b180, b181) =STDEV.P(c173, c174, c175, c176, c177, c178, c179, c180, c181) =STDEV.P(d173, d174, d175, d176, d177, d178, d179, d180, d181) =STDEV.P(e173, e174, e175, e176, e177, e178, e179, e180, e181) =STDEV.P(f173, f174, f175, f176, f177, f178, f179, f180, f181) =STDEV.P(g173, g174, g175, g176, g177, g178, g179, g180, g181) =STDEV.P(h173, h174, h175, h176, h177, h178, h179, h180, h181) =STDEV.P(i173, i174, i175, i176, i177, i178, i179, i180, i181) =STDEV.P(j173, j174, j175, j176, j177, j178, j179, j180, j181) =STDEV.P(k173, k174, k175, k176, k177, k178, k179, k180, k181) =STDEV.P(l173, l174, l175, l176, l177, l178, l179, l180, l181) =STDEV.P(m173, m174, m175, m176, m177, m178, m179, m180, m181) =STDEV.P(n173, n174, n175, n176, n177, n178, n179, n180, n181) =STDEV.P(o173, o174, o175, o176, o177, o178, o179, o180, o181) =STDEV.P(p173, p174, p175, p176, p177, p178, p179, p180, p181) =STDEV.P(q173, q174, q175, q176, q177, q178, q179, q180, q181) =STDEV.P(r173, r174, r175, r176, r177, r178, r179, r180, r181) =STDEV.P(s173, s174, s175, s176, s177, s178, s179, s180, s181) =STDEV.P(t173, t174, t175, t176, t177, t178, t179, t180, t181) +=AVERAGE(a182, a183, a184, a185, a186, a187, a188, a189, a190) =AVERAGE(b182, b183, b184, b185, b186, b187, b188, b189, b190) =AVERAGE(c182, c183, c184, c185, c186, c187, c188, c189, c190) =AVERAGE(d182, d183, d184, d185, d186, d187, d188, d189, d190) =AVERAGE(e182, e183, e184, e185, e186, e187, e188, e189, e190) =AVERAGE(f182, f183, f184, f185, f186, f187, f188, f189, f190) =AVERAGE(g182, g183, g184, g185, g186, g187, g188, g189, g190) =AVERAGE(h182, h183, h184, h185, h186, h187, h188, h189, h190) =AVERAGE(i182, i183, i184, i185, i186, i187, i188, i189, i190) =AVERAGE(j182, j183, j184, j185, j186, j187, j188, j189, j190) =AVERAGE(k182, k183, k184, k185, k186, k187, k188, k189, k190) =AVERAGE(l182, l183, l184, l185, l186, l187, l188, l189, l190) =AVERAGE(m182, m183, m184, m185, m186, m187, m188, m189, m190) =AVERAGE(n182, n183, n184, n185, n186, n187, n188, n189, n190) =AVERAGE(o182, o183, o184, o185, o186, o187, o188, o189, o190) =AVERAGE(p182, p183, p184, p185, p186, p187, p188, p189, p190) =AVERAGE(q182, q183, q184, q185, q186, q187, q188, q189, q190) =AVERAGE(r182, r183, r184, r185, r186, r187, r188, r189, r190) =AVERAGE(s182, s183, s184, s185, s186, s187, s188, s189, s190) =AVERAGE(t182, t183, t184, t185, t186, t187, t188, t189, t190) =STDEV.P(a182, a183, a184, a185, a186, a187, a188, a189, a190) =STDEV.P(b182, b183, b184, b185, b186, b187, b188, b189, b190) =STDEV.P(c182, c183, c184, c185, c186, c187, c188, c189, c190) =STDEV.P(d182, d183, d184, d185, d186, d187, d188, d189, d190) =STDEV.P(e182, e183, e184, e185, e186, e187, e188, e189, e190) =STDEV.P(f182, f183, f184, f185, f186, f187, f188, f189, f190) =STDEV.P(g182, g183, g184, g185, g186, g187, g188, g189, g190) =STDEV.P(h182, h183, h184, h185, h186, h187, h188, h189, h190) =STDEV.P(i182, i183, i184, i185, i186, i187, i188, i189, i190) =STDEV.P(j182, j183, j184, j185, j186, j187, j188, j189, j190) =STDEV.P(k182, k183, k184, k185, k186, k187, k188, k189, k190) =STDEV.P(l182, l183, l184, l185, l186, l187, l188, l189, l190) =STDEV.P(m182, m183, m184, m185, m186, m187, m188, m189, m190) =STDEV.P(n182, n183, n184, n185, n186, n187, n188, n189, n190) =STDEV.P(o182, o183, o184, o185, o186, o187, o188, o189, o190) =STDEV.P(p182, p183, p184, p185, p186, p187, p188, p189, p190) =STDEV.P(q182, q183, q184, q185, q186, q187, q188, q189, q190) =STDEV.P(r182, r183, r184, r185, r186, r187, r188, r189, r190) =STDEV.P(s182, s183, s184, s185, s186, s187, s188, s189, s190) =STDEV.P(t182, t183, t184, t185, t186, t187, t188, t189, t190) +=AVERAGE(a191, a192, a193, a194, a195, a196, a197, a198, a199) =AVERAGE(b191, b192, b193, b194, b195, b196, b197, b198, b199) =AVERAGE(c191, c192, c193, c194, c195, c196, c197, c198, c199) =AVERAGE(d191, d192, d193, d194, d195, d196, d197, d198, d199) =AVERAGE(e191, e192, e193, e194, e195, e196, e197, e198, e199) =AVERAGE(f191, f192, f193, f194, f195, f196, f197, f198, f199) =AVERAGE(g191, g192, g193, g194, g195, g196, g197, g198, g199) =AVERAGE(h191, h192, h193, h194, h195, h196, h197, h198, h199) =AVERAGE(i191, i192, i193, i194, i195, i196, i197, i198, i199) =AVERAGE(j191, j192, j193, j194, j195, j196, j197, j198, j199) =AVERAGE(k191, k192, k193, k194, k195, k196, k197, k198, k199) =AVERAGE(l191, l192, l193, l194, l195, l196, l197, l198, l199) =AVERAGE(m191, m192, m193, m194, m195, m196, m197, m198, m199) =AVERAGE(n191, n192, n193, n194, n195, n196, n197, n198, n199) =AVERAGE(o191, o192, o193, o194, o195, o196, o197, o198, o199) =AVERAGE(p191, p192, p193, p194, p195, p196, p197, p198, p199) =AVERAGE(q191, q192, q193, q194, q195, q196, q197, q198, q199) =AVERAGE(r191, r192, r193, r194, r195, r196, r197, r198, r199) =AVERAGE(s191, s192, s193, s194, s195, s196, s197, s198, s199) =AVERAGE(t191, t192, t193, t194, t195, t196, t197, t198, t199) =STDEV.P(a191, a192, a193, a194, a195, a196, a197, a198, a199) =STDEV.P(b191, b192, b193, b194, b195, b196, b197, b198, b199) =STDEV.P(c191, c192, c193, c194, c195, c196, c197, c198, c199) =STDEV.P(d191, d192, d193, d194, d195, d196, d197, d198, d199) =STDEV.P(e191, e192, e193, e194, e195, e196, e197, e198, e199) =STDEV.P(f191, f192, f193, f194, f195, f196, f197, f198, f199) =STDEV.P(g191, g192, g193, g194, g195, g196, g197, g198, g199) =STDEV.P(h191, h192, h193, h194, h195, h196, h197, h198, h199) =STDEV.P(i191, i192, i193, i194, i195, i196, i197, i198, i199) =STDEV.P(j191, j192, j193, j194, j195, j196, j197, j198, j199) =STDEV.P(k191, k192, k193, k194, k195, k196, k197, k198, k199) =STDEV.P(l191, l192, l193, l194, l195, l196, l197, l198, l199) =STDEV.P(m191, m192, m193, m194, m195, m196, m197, m198, m199) =STDEV.P(n191, n192, n193, n194, n195, n196, n197, n198, n199) =STDEV.P(o191, o192, o193, o194, o195, o196, o197, o198, o199) =STDEV.P(p191, p192, p193, p194, p195, p196, p197, p198, p199) =STDEV.P(q191, q192, q193, q194, q195, q196, q197, q198, q199) =STDEV.P(r191, r192, r193, r194, r195, r196, r197, r198, r199) =STDEV.P(s191, s192, s193, s194, s195, s196, s197, s198, s199) =STDEV.P(t191, t192, t193, t194, t195, t196, t197, t198, t199) +=AVERAGE(a200, a201, a202, a203, a204, a205, a206, a207, a208) =AVERAGE(b200, b201, b202, b203, b204, b205, b206, b207, b208) =AVERAGE(c200, c201, c202, c203, c204, c205, c206, c207, c208) =AVERAGE(d200, d201, d202, d203, d204, d205, d206, d207, d208) =AVERAGE(e200, e201, e202, e203, e204, e205, e206, e207, e208) =AVERAGE(f200, f201, f202, f203, f204, f205, f206, f207, f208) =AVERAGE(g200, g201, g202, g203, g204, g205, g206, g207, g208) =AVERAGE(h200, h201, h202, h203, h204, h205, h206, h207, h208) =AVERAGE(i200, i201, i202, i203, i204, i205, i206, i207, i208) =AVERAGE(j200, j201, j202, j203, j204, j205, j206, j207, j208) =AVERAGE(k200, k201, k202, k203, k204, k205, k206, k207, k208) =AVERAGE(l200, l201, l202, l203, l204, l205, l206, l207, l208) =AVERAGE(m200, m201, m202, m203, m204, m205, m206, m207, m208) =AVERAGE(n200, n201, n202, n203, n204, n205, n206, n207, n208) =AVERAGE(o200, o201, o202, o203, o204, o205, o206, o207, o208) =AVERAGE(p200, p201, p202, p203, p204, p205, p206, p207, p208) =AVERAGE(q200, q201, q202, q203, q204, q205, q206, q207, q208) =AVERAGE(r200, r201, r202, r203, r204, r205, r206, r207, r208) =AVERAGE(s200, s201, s202, s203, s204, s205, s206, s207, s208) =AVERAGE(t200, t201, t202, t203, t204, t205, t206, t207, t208) =STDEV.P(a200, a201, a202, a203, a204, a205, a206, a207, a208) =STDEV.P(b200, b201, b202, b203, b204, b205, b206, b207, b208) =STDEV.P(c200, c201, c202, c203, c204, c205, c206, c207, c208) =STDEV.P(d200, d201, d202, d203, d204, d205, d206, d207, d208) =STDEV.P(e200, e201, e202, e203, e204, e205, e206, e207, e208) =STDEV.P(f200, f201, f202, f203, f204, f205, f206, f207, f208) =STDEV.P(g200, g201, g202, g203, g204, g205, g206, g207, g208) =STDEV.P(h200, h201, h202, h203, h204, h205, h206, h207, h208) =STDEV.P(i200, i201, i202, i203, i204, i205, i206, i207, i208) =STDEV.P(j200, j201, j202, j203, j204, j205, j206, j207, j208) =STDEV.P(k200, k201, k202, k203, k204, k205, k206, k207, k208) =STDEV.P(l200, l201, l202, l203, l204, l205, l206, l207, l208) =STDEV.P(m200, m201, m202, m203, m204, m205, m206, m207, m208) =STDEV.P(n200, n201, n202, n203, n204, n205, n206, n207, n208) =STDEV.P(o200, o201, o202, o203, o204, o205, o206, o207, o208) =STDEV.P(p200, p201, p202, p203, p204, p205, p206, p207, p208) =STDEV.P(q200, q201, q202, q203, q204, q205, q206, q207, q208) =STDEV.P(r200, r201, r202, r203, r204, r205, r206, r207, r208) =STDEV.P(s200, s201, s202, s203, s204, s205, s206, s207, s208) =STDEV.P(t200, t201, t202, t203, t204, t205, t206, t207, t208) +=AVERAGE(a209, a210, a211, a212, a213, a214, a215, a216, a217) =AVERAGE(b209, b210, b211, b212, b213, b214, b215, b216, b217) =AVERAGE(c209, c210, c211, c212, c213, c214, c215, c216, c217) =AVERAGE(d209, d210, d211, d212, d213, d214, d215, d216, d217) =AVERAGE(e209, e210, e211, e212, e213, e214, e215, e216, e217) =AVERAGE(f209, f210, f211, f212, f213, f214, f215, f216, f217) =AVERAGE(g209, g210, g211, g212, g213, g214, g215, g216, g217) =AVERAGE(h209, h210, h211, h212, h213, h214, h215, h216, h217) =AVERAGE(i209, i210, i211, i212, i213, i214, i215, i216, i217) =AVERAGE(j209, j210, j211, j212, j213, j214, j215, j216, j217) =AVERAGE(k209, k210, k211, k212, k213, k214, k215, k216, k217) =AVERAGE(l209, l210, l211, l212, l213, l214, l215, l216, l217) =AVERAGE(m209, m210, m211, m212, m213, m214, m215, m216, m217) =AVERAGE(n209, n210, n211, n212, n213, n214, n215, n216, n217) =AVERAGE(o209, o210, o211, o212, o213, o214, o215, o216, o217) =AVERAGE(p209, p210, p211, p212, p213, p214, p215, p216, p217) =AVERAGE(q209, q210, q211, q212, q213, q214, q215, q216, q217) =AVERAGE(r209, r210, r211, r212, r213, r214, r215, r216, r217) =AVERAGE(s209, s210, s211, s212, s213, s214, s215, s216, s217) =AVERAGE(t209, t210, t211, t212, t213, t214, t215, t216, t217) =STDEV.P(a209, a210, a211, a212, a213, a214, a215, a216, a217) =STDEV.P(b209, b210, b211, b212, b213, b214, b215, b216, b217) =STDEV.P(c209, c210, c211, c212, c213, c214, c215, c216, c217) =STDEV.P(d209, d210, d211, d212, d213, d214, d215, d216, d217) =STDEV.P(e209, e210, e211, e212, e213, e214, e215, e216, e217) =STDEV.P(f209, f210, f211, f212, f213, f214, f215, f216, f217) =STDEV.P(g209, g210, g211, g212, g213, g214, g215, g216, g217) =STDEV.P(h209, h210, h211, h212, h213, h214, h215, h216, h217) =STDEV.P(i209, i210, i211, i212, i213, i214, i215, i216, i217) =STDEV.P(j209, j210, j211, j212, j213, j214, j215, j216, j217) =STDEV.P(k209, k210, k211, k212, k213, k214, k215, k216, k217) =STDEV.P(l209, l210, l211, l212, l213, l214, l215, l216, l217) =STDEV.P(m209, m210, m211, m212, m213, m214, m215, m216, m217) =STDEV.P(n209, n210, n211, n212, n213, n214, n215, n216, n217) =STDEV.P(o209, o210, o211, o212, o213, o214, o215, o216, o217) =STDEV.P(p209, p210, p211, p212, p213, p214, p215, p216, p217) =STDEV.P(q209, q210, q211, q212, q213, q214, q215, q216, q217) =STDEV.P(r209, r210, r211, r212, r213, r214, r215, r216, r217) =STDEV.P(s209, s210, s211, s212, s213, s214, s215, s216, s217) =STDEV.P(t209, t210, t211, t212, t213, t214, t215, t216, t217) +=AVERAGE(a218, a219, a220, a221, a222, a223, a224, a225, a226) =AVERAGE(b218, b219, b220, b221, b222, b223, b224, b225, b226) =AVERAGE(c218, c219, c220, c221, c222, c223, c224, c225, c226) =AVERAGE(d218, d219, d220, d221, d222, d223, d224, d225, d226) =AVERAGE(e218, e219, e220, e221, e222, e223, e224, e225, e226) =AVERAGE(f218, f219, f220, f221, f222, f223, f224, f225, f226) =AVERAGE(g218, g219, g220, g221, g222, g223, g224, g225, g226) =AVERAGE(h218, h219, h220, h221, h222, h223, h224, h225, h226) =AVERAGE(i218, i219, i220, i221, i222, i223, i224, i225, i226) =AVERAGE(j218, j219, j220, j221, j222, j223, j224, j225, j226) =AVERAGE(k218, k219, k220, k221, k222, k223, k224, k225, k226) =AVERAGE(l218, l219, l220, l221, l222, l223, l224, l225, l226) =AVERAGE(m218, m219, m220, m221, m222, m223, m224, m225, m226) =AVERAGE(n218, n219, n220, n221, n222, n223, n224, n225, n226) =AVERAGE(o218, o219, o220, o221, o222, o223, o224, o225, o226) =AVERAGE(p218, p219, p220, p221, p222, p223, p224, p225, p226) =AVERAGE(q218, q219, q220, q221, q222, q223, q224, q225, q226) =AVERAGE(r218, r219, r220, r221, r222, r223, r224, r225, r226) =AVERAGE(s218, s219, s220, s221, s222, s223, s224, s225, s226) =AVERAGE(t218, t219, t220, t221, t222, t223, t224, t225, t226) =STDEV.P(a218, a219, a220, a221, a222, a223, a224, a225, a226) =STDEV.P(b218, b219, b220, b221, b222, b223, b224, b225, b226) =STDEV.P(c218, c219, c220, c221, c222, c223, c224, c225, c226) =STDEV.P(d218, d219, d220, d221, d222, d223, d224, d225, d226) =STDEV.P(e218, e219, e220, e221, e222, e223, e224, e225, e226) =STDEV.P(f218, f219, f220, f221, f222, f223, f224, f225, f226) =STDEV.P(g218, g219, g220, g221, g222, g223, g224, g225, g226) =STDEV.P(h218, h219, h220, h221, h222, h223, h224, h225, h226) =STDEV.P(i218, i219, i220, i221, i222, i223, i224, i225, i226) =STDEV.P(j218, j219, j220, j221, j222, j223, j224, j225, j226) =STDEV.P(k218, k219, k220, k221, k222, k223, k224, k225, k226) =STDEV.P(l218, l219, l220, l221, l222, l223, l224, l225, l226) =STDEV.P(m218, m219, m220, m221, m222, m223, m224, m225, m226) =STDEV.P(n218, n219, n220, n221, n222, n223, n224, n225, n226) =STDEV.P(o218, o219, o220, o221, o222, o223, o224, o225, o226) =STDEV.P(p218, p219, p220, p221, p222, p223, p224, p225, p226) =STDEV.P(q218, q219, q220, q221, q222, q223, q224, q225, q226) =STDEV.P(r218, r219, r220, r221, r222, r223, r224, r225, r226) =STDEV.P(s218, s219, s220, s221, s222, s223, s224, s225, s226) =STDEV.P(t218, t219, t220, t221, t222, t223, t224, t225, t226) +=AVERAGE(a227, a228, a229, a230, a231, a232, a233, a234, a235) =AVERAGE(b227, b228, b229, b230, b231, b232, b233, b234, b235) =AVERAGE(c227, c228, c229, c230, c231, c232, c233, c234, c235) =AVERAGE(d227, d228, d229, d230, d231, d232, d233, d234, d235) =AVERAGE(e227, e228, e229, e230, e231, e232, e233, e234, e235) =AVERAGE(f227, f228, f229, f230, f231, f232, f233, f234, f235) =AVERAGE(g227, g228, g229, g230, g231, g232, g233, g234, g235) =AVERAGE(h227, h228, h229, h230, h231, h232, h233, h234, h235) =AVERAGE(i227, i228, i229, i230, i231, i232, i233, i234, i235) =AVERAGE(j227, j228, j229, j230, j231, j232, j233, j234, j235) =AVERAGE(k227, k228, k229, k230, k231, k232, k233, k234, k235) =AVERAGE(l227, l228, l229, l230, l231, l232, l233, l234, l235) =AVERAGE(m227, m228, m229, m230, m231, m232, m233, m234, m235) =AVERAGE(n227, n228, n229, n230, n231, n232, n233, n234, n235) =AVERAGE(o227, o228, o229, o230, o231, o232, o233, o234, o235) =AVERAGE(p227, p228, p229, p230, p231, p232, p233, p234, p235) =AVERAGE(q227, q228, q229, q230, q231, q232, q233, q234, q235) =AVERAGE(r227, r228, r229, r230, r231, r232, r233, r234, r235) =AVERAGE(s227, s228, s229, s230, s231, s232, s233, s234, s235) =AVERAGE(t227, t228, t229, t230, t231, t232, t233, t234, t235) =STDEV.P(a227, a228, a229, a230, a231, a232, a233, a234, a235) =STDEV.P(b227, b228, b229, b230, b231, b232, b233, b234, b235) =STDEV.P(c227, c228, c229, c230, c231, c232, c233, c234, c235) =STDEV.P(d227, d228, d229, d230, d231, d232, d233, d234, d235) =STDEV.P(e227, e228, e229, e230, e231, e232, e233, e234, e235) =STDEV.P(f227, f228, f229, f230, f231, f232, f233, f234, f235) =STDEV.P(g227, g228, g229, g230, g231, g232, g233, g234, g235) =STDEV.P(h227, h228, h229, h230, h231, h232, h233, h234, h235) =STDEV.P(i227, i228, i229, i230, i231, i232, i233, i234, i235) =STDEV.P(j227, j228, j229, j230, j231, j232, j233, j234, j235) =STDEV.P(k227, k228, k229, k230, k231, k232, k233, k234, k235) =STDEV.P(l227, l228, l229, l230, l231, l232, l233, l234, l235) =STDEV.P(m227, m228, m229, m230, m231, m232, m233, m234, m235) =STDEV.P(n227, n228, n229, n230, n231, n232, n233, n234, n235) =STDEV.P(o227, o228, o229, o230, o231, o232, o233, o234, o235) =STDEV.P(p227, p228, p229, p230, p231, p232, p233, p234, p235) =STDEV.P(q227, q228, q229, q230, q231, q232, q233, q234, q235) =STDEV.P(r227, r228, r229, r230, r231, r232, r233, r234, r235) =STDEV.P(s227, s228, s229, s230, s231, s232, s233, s234, s235) =STDEV.P(t227, t228, t229, t230, t231, t232, t233, t234, t235) +=AVERAGE(a236, a237, a238, a239, a240, a241, a242, a243, a244) =AVERAGE(b236, b237, b238, b239, b240, b241, b242, b243, b244) =AVERAGE(c236, c237, c238, c239, c240, c241, c242, c243, c244) =AVERAGE(d236, d237, d238, d239, d240, d241, d242, d243, d244) =AVERAGE(e236, e237, e238, e239, e240, e241, e242, e243, e244) =AVERAGE(f236, f237, f238, f239, f240, f241, f242, f243, f244) =AVERAGE(g236, g237, g238, g239, g240, g241, g242, g243, g244) =AVERAGE(h236, h237, h238, h239, h240, h241, h242, h243, h244) =AVERAGE(i236, i237, i238, i239, i240, i241, i242, i243, i244) =AVERAGE(j236, j237, j238, j239, j240, j241, j242, j243, j244) =AVERAGE(k236, k237, k238, k239, k240, k241, k242, k243, k244) =AVERAGE(l236, l237, l238, l239, l240, l241, l242, l243, l244) =AVERAGE(m236, m237, m238, m239, m240, m241, m242, m243, m244) =AVERAGE(n236, n237, n238, n239, n240, n241, n242, n243, n244) =AVERAGE(o236, o237, o238, o239, o240, o241, o242, o243, o244) =AVERAGE(p236, p237, p238, p239, p240, p241, p242, p243, p244) =AVERAGE(q236, q237, q238, q239, q240, q241, q242, q243, q244) =AVERAGE(r236, r237, r238, r239, r240, r241, r242, r243, r244) =AVERAGE(s236, s237, s238, s239, s240, s241, s242, s243, s244) =AVERAGE(t236, t237, t238, t239, t240, t241, t242, t243, t244) =STDEV.P(a236, a237, a238, a239, a240, a241, a242, a243, a244) =STDEV.P(b236, b237, b238, b239, b240, b241, b242, b243, b244) =STDEV.P(c236, c237, c238, c239, c240, c241, c242, c243, c244) =STDEV.P(d236, d237, d238, d239, d240, d241, d242, d243, d244) =STDEV.P(e236, e237, e238, e239, e240, e241, e242, e243, e244) =STDEV.P(f236, f237, f238, f239, f240, f241, f242, f243, f244) =STDEV.P(g236, g237, g238, g239, g240, g241, g242, g243, g244) =STDEV.P(h236, h237, h238, h239, h240, h241, h242, h243, h244) =STDEV.P(i236, i237, i238, i239, i240, i241, i242, i243, i244) =STDEV.P(j236, j237, j238, j239, j240, j241, j242, j243, j244) =STDEV.P(k236, k237, k238, k239, k240, k241, k242, k243, k244) =STDEV.P(l236, l237, l238, l239, l240, l241, l242, l243, l244) =STDEV.P(m236, m237, m238, m239, m240, m241, m242, m243, m244) =STDEV.P(n236, n237, n238, n239, n240, n241, n242, n243, n244) =STDEV.P(o236, o237, o238, o239, o240, o241, o242, o243, o244) =STDEV.P(p236, p237, p238, p239, p240, p241, p242, p243, p244) =STDEV.P(q236, q237, q238, q239, q240, q241, q242, q243, q244) =STDEV.P(r236, r237, r238, r239, r240, r241, r242, r243, r244) =STDEV.P(s236, s237, s238, s239, s240, s241, s242, s243, s244) =STDEV.P(t236, t237, t238, t239, t240, t241, t242, t243, t244) +=AVERAGE(a245, a246, a247, a248, a249, a250, a251, a252, a253) =AVERAGE(b245, b246, b247, b248, b249, b250, b251, b252, b253) =AVERAGE(c245, c246, c247, c248, c249, c250, c251, c252, c253) =AVERAGE(d245, d246, d247, d248, d249, d250, d251, d252, d253) =AVERAGE(e245, e246, e247, e248, e249, e250, e251, e252, e253) =AVERAGE(f245, f246, f247, f248, f249, f250, f251, f252, f253) =AVERAGE(g245, g246, g247, g248, g249, g250, g251, g252, g253) =AVERAGE(h245, h246, h247, h248, h249, h250, h251, h252, h253) =AVERAGE(i245, i246, i247, i248, i249, i250, i251, i252, i253) =AVERAGE(j245, j246, j247, j248, j249, j250, j251, j252, j253) =AVERAGE(k245, k246, k247, k248, k249, k250, k251, k252, k253) =AVERAGE(l245, l246, l247, l248, l249, l250, l251, l252, l253) =AVERAGE(m245, m246, m247, m248, m249, m250, m251, m252, m253) =AVERAGE(n245, n246, n247, n248, n249, n250, n251, n252, n253) =AVERAGE(o245, o246, o247, o248, o249, o250, o251, o252, o253) =AVERAGE(p245, p246, p247, p248, p249, p250, p251, p252, p253) =AVERAGE(q245, q246, q247, q248, q249, q250, q251, q252, q253) =AVERAGE(r245, r246, r247, r248, r249, r250, r251, r252, r253) =AVERAGE(s245, s246, s247, s248, s249, s250, s251, s252, s253) =AVERAGE(t245, t246, t247, t248, t249, t250, t251, t252, t253) =STDEV.P(a245, a246, a247, a248, a249, a250, a251, a252, a253) =STDEV.P(b245, b246, b247, b248, b249, b250, b251, b252, b253) =STDEV.P(c245, c246, c247, c248, c249, c250, c251, c252, c253) =STDEV.P(d245, d246, d247, d248, d249, d250, d251, d252, d253) =STDEV.P(e245, e246, e247, e248, e249, e250, e251, e252, e253) =STDEV.P(f245, f246, f247, f248, f249, f250, f251, f252, f253) =STDEV.P(g245, g246, g247, g248, g249, g250, g251, g252, g253) =STDEV.P(h245, h246, h247, h248, h249, h250, h251, h252, h253) =STDEV.P(i245, i246, i247, i248, i249, i250, i251, i252, i253) =STDEV.P(j245, j246, j247, j248, j249, j250, j251, j252, j253) =STDEV.P(k245, k246, k247, k248, k249, k250, k251, k252, k253) =STDEV.P(l245, l246, l247, l248, l249, l250, l251, l252, l253) =STDEV.P(m245, m246, m247, m248, m249, m250, m251, m252, m253) =STDEV.P(n245, n246, n247, n248, n249, n250, n251, n252, n253) =STDEV.P(o245, o246, o247, o248, o249, o250, o251, o252, o253) =STDEV.P(p245, p246, p247, p248, p249, p250, p251, p252, p253) =STDEV.P(q245, q246, q247, q248, q249, q250, q251, q252, q253) =STDEV.P(r245, r246, r247, r248, r249, r250, r251, r252, r253) =STDEV.P(s245, s246, s247, s248, s249, s250, s251, s252, s253) =STDEV.P(t245, t246, t247, t248, t249, t250, t251, t252, t253) +=AVERAGE(a254, a255, a256, a257, a258, a259, a260, a261, a262) =AVERAGE(b254, b255, b256, b257, b258, b259, b260, b261, b262) =AVERAGE(c254, c255, c256, c257, c258, c259, c260, c261, c262) =AVERAGE(d254, d255, d256, d257, d258, d259, d260, d261, d262) =AVERAGE(e254, e255, e256, e257, e258, e259, e260, e261, e262) =AVERAGE(f254, f255, f256, f257, f258, f259, f260, f261, f262) =AVERAGE(g254, g255, g256, g257, g258, g259, g260, g261, g262) =AVERAGE(h254, h255, h256, h257, h258, h259, h260, h261, h262) =AVERAGE(i254, i255, i256, i257, i258, i259, i260, i261, i262) =AVERAGE(j254, j255, j256, j257, j258, j259, j260, j261, j262) =AVERAGE(k254, k255, k256, k257, k258, k259, k260, k261, k262) =AVERAGE(l254, l255, l256, l257, l258, l259, l260, l261, l262) =AVERAGE(m254, m255, m256, m257, m258, m259, m260, m261, m262) =AVERAGE(n254, n255, n256, n257, n258, n259, n260, n261, n262) =AVERAGE(o254, o255, o256, o257, o258, o259, o260, o261, o262) =AVERAGE(p254, p255, p256, p257, p258, p259, p260, p261, p262) =AVERAGE(q254, q255, q256, q257, q258, q259, q260, q261, q262) =AVERAGE(r254, r255, r256, r257, r258, r259, r260, r261, r262) =AVERAGE(s254, s255, s256, s257, s258, s259, s260, s261, s262) =AVERAGE(t254, t255, t256, t257, t258, t259, t260, t261, t262) =STDEV.P(a254, a255, a256, a257, a258, a259, a260, a261, a262) =STDEV.P(b254, b255, b256, b257, b258, b259, b260, b261, b262) =STDEV.P(c254, c255, c256, c257, c258, c259, c260, c261, c262) =STDEV.P(d254, d255, d256, d257, d258, d259, d260, d261, d262) =STDEV.P(e254, e255, e256, e257, e258, e259, e260, e261, e262) =STDEV.P(f254, f255, f256, f257, f258, f259, f260, f261, f262) =STDEV.P(g254, g255, g256, g257, g258, g259, g260, g261, g262) =STDEV.P(h254, h255, h256, h257, h258, h259, h260, h261, h262) =STDEV.P(i254, i255, i256, i257, i258, i259, i260, i261, i262) =STDEV.P(j254, j255, j256, j257, j258, j259, j260, j261, j262) =STDEV.P(k254, k255, k256, k257, k258, k259, k260, k261, k262) =STDEV.P(l254, l255, l256, l257, l258, l259, l260, l261, l262) =STDEV.P(m254, m255, m256, m257, m258, m259, m260, m261, m262) =STDEV.P(n254, n255, n256, n257, n258, n259, n260, n261, n262) =STDEV.P(o254, o255, o256, o257, o258, o259, o260, o261, o262) =STDEV.P(p254, p255, p256, p257, p258, p259, p260, p261, p262) =STDEV.P(q254, q255, q256, q257, q258, q259, q260, q261, q262) =STDEV.P(r254, r255, r256, r257, r258, r259, r260, r261, r262) =STDEV.P(s254, s255, s256, s257, s258, s259, s260, s261, s262) =STDEV.P(t254, t255, t256, t257, t258, t259, t260, t261, t262) +=AVERAGE(a263, a264, a265, a266, a267, a268, a269, a270, a271) =AVERAGE(b263, b264, b265, b266, b267, b268, b269, b270, b271) =AVERAGE(c263, c264, c265, c266, c267, c268, c269, c270, c271) =AVERAGE(d263, d264, d265, d266, d267, d268, d269, d270, d271) =AVERAGE(e263, e264, e265, e266, e267, e268, e269, e270, e271) =AVERAGE(f263, f264, f265, f266, f267, f268, f269, f270, f271) =AVERAGE(g263, g264, g265, g266, g267, g268, g269, g270, g271) =AVERAGE(h263, h264, h265, h266, h267, h268, h269, h270, h271) =AVERAGE(i263, i264, i265, i266, i267, i268, i269, i270, i271) =AVERAGE(j263, j264, j265, j266, j267, j268, j269, j270, j271) =AVERAGE(k263, k264, k265, k266, k267, k268, k269, k270, k271) =AVERAGE(l263, l264, l265, l266, l267, l268, l269, l270, l271) =AVERAGE(m263, m264, m265, m266, m267, m268, m269, m270, m271) =AVERAGE(n263, n264, n265, n266, n267, n268, n269, n270, n271) =AVERAGE(o263, o264, o265, o266, o267, o268, o269, o270, o271) =AVERAGE(p263, p264, p265, p266, p267, p268, p269, p270, p271) =AVERAGE(q263, q264, q265, q266, q267, q268, q269, q270, q271) =AVERAGE(r263, r264, r265, r266, r267, r268, r269, r270, r271) =AVERAGE(s263, s264, s265, s266, s267, s268, s269, s270, s271) =AVERAGE(t263, t264, t265, t266, t267, t268, t269, t270, t271) =STDEV.P(a263, a264, a265, a266, a267, a268, a269, a270, a271) =STDEV.P(b263, b264, b265, b266, b267, b268, b269, b270, b271) =STDEV.P(c263, c264, c265, c266, c267, c268, c269, c270, c271) =STDEV.P(d263, d264, d265, d266, d267, d268, d269, d270, d271) =STDEV.P(e263, e264, e265, e266, e267, e268, e269, e270, e271) =STDEV.P(f263, f264, f265, f266, f267, f268, f269, f270, f271) =STDEV.P(g263, g264, g265, g266, g267, g268, g269, g270, g271) =STDEV.P(h263, h264, h265, h266, h267, h268, h269, h270, h271) =STDEV.P(i263, i264, i265, i266, i267, i268, i269, i270, i271) =STDEV.P(j263, j264, j265, j266, j267, j268, j269, j270, j271) =STDEV.P(k263, k264, k265, k266, k267, k268, k269, k270, k271) =STDEV.P(l263, l264, l265, l266, l267, l268, l269, l270, l271) =STDEV.P(m263, m264, m265, m266, m267, m268, m269, m270, m271) =STDEV.P(n263, n264, n265, n266, n267, n268, n269, n270, n271) =STDEV.P(o263, o264, o265, o266, o267, o268, o269, o270, o271) =STDEV.P(p263, p264, p265, p266, p267, p268, p269, p270, p271) =STDEV.P(q263, q264, q265, q266, q267, q268, q269, q270, q271) =STDEV.P(r263, r264, r265, r266, r267, r268, r269, r270, r271) =STDEV.P(s263, s264, s265, s266, s267, s268, s269, s270, s271) =STDEV.P(t263, t264, t265, t266, t267, t268, t269, t270, t271) +=AVERAGE(a272, a273, a274, a275, a276, a277, a278, a279, a280) =AVERAGE(b272, b273, b274, b275, b276, b277, b278, b279, b280) =AVERAGE(c272, c273, c274, c275, c276, c277, c278, c279, c280) =AVERAGE(d272, d273, d274, d275, d276, d277, d278, d279, d280) =AVERAGE(e272, e273, e274, e275, e276, e277, e278, e279, e280) =AVERAGE(f272, f273, f274, f275, f276, f277, f278, f279, f280) =AVERAGE(g272, g273, g274, g275, g276, g277, g278, g279, g280) =AVERAGE(h272, h273, h274, h275, h276, h277, h278, h279, h280) =AVERAGE(i272, i273, i274, i275, i276, i277, i278, i279, i280) =AVERAGE(j272, j273, j274, j275, j276, j277, j278, j279, j280) =AVERAGE(k272, k273, k274, k275, k276, k277, k278, k279, k280) =AVERAGE(l272, l273, l274, l275, l276, l277, l278, l279, l280) =AVERAGE(m272, m273, m274, m275, m276, m277, m278, m279, m280) =AVERAGE(n272, n273, n274, n275, n276, n277, n278, n279, n280) =AVERAGE(o272, o273, o274, o275, o276, o277, o278, o279, o280) =AVERAGE(p272, p273, p274, p275, p276, p277, p278, p279, p280) =AVERAGE(q272, q273, q274, q275, q276, q277, q278, q279, q280) =AVERAGE(r272, r273, r274, r275, r276, r277, r278, r279, r280) =AVERAGE(s272, s273, s274, s275, s276, s277, s278, s279, s280) =AVERAGE(t272, t273, t274, t275, t276, t277, t278, t279, t280) =STDEV.P(a272, a273, a274, a275, a276, a277, a278, a279, a280) =STDEV.P(b272, b273, b274, b275, b276, b277, b278, b279, b280) =STDEV.P(c272, c273, c274, c275, c276, c277, c278, c279, c280) =STDEV.P(d272, d273, d274, d275, d276, d277, d278, d279, d280) =STDEV.P(e272, e273, e274, e275, e276, e277, e278, e279, e280) =STDEV.P(f272, f273, f274, f275, f276, f277, f278, f279, f280) =STDEV.P(g272, g273, g274, g275, g276, g277, g278, g279, g280) =STDEV.P(h272, h273, h274, h275, h276, h277, h278, h279, h280) =STDEV.P(i272, i273, i274, i275, i276, i277, i278, i279, i280) =STDEV.P(j272, j273, j274, j275, j276, j277, j278, j279, j280) =STDEV.P(k272, k273, k274, k275, k276, k277, k278, k279, k280) =STDEV.P(l272, l273, l274, l275, l276, l277, l278, l279, l280) =STDEV.P(m272, m273, m274, m275, m276, m277, m278, m279, m280) =STDEV.P(n272, n273, n274, n275, n276, n277, n278, n279, n280) =STDEV.P(o272, o273, o274, o275, o276, o277, o278, o279, o280) =STDEV.P(p272, p273, p274, p275, p276, p277, p278, p279, p280) =STDEV.P(q272, q273, q274, q275, q276, q277, q278, q279, q280) =STDEV.P(r272, r273, r274, r275, r276, r277, r278, r279, r280) =STDEV.P(s272, s273, s274, s275, s276, s277, s278, s279, s280) =STDEV.P(t272, t273, t274, t275, t276, t277, t278, t279, t280) +=AVERAGE(a281, a282, a283, a284, a285, a286, a287, a288, a289) =AVERAGE(b281, b282, b283, b284, b285, b286, b287, b288, b289) =AVERAGE(c281, c282, c283, c284, c285, c286, c287, c288, c289) =AVERAGE(d281, d282, d283, d284, d285, d286, d287, d288, d289) =AVERAGE(e281, e282, e283, e284, e285, e286, e287, e288, e289) =AVERAGE(f281, f282, f283, f284, f285, f286, f287, f288, f289) =AVERAGE(g281, g282, g283, g284, g285, g286, g287, g288, g289) =AVERAGE(h281, h282, h283, h284, h285, h286, h287, h288, h289) =AVERAGE(i281, i282, i283, i284, i285, i286, i287, i288, i289) =AVERAGE(j281, j282, j283, j284, j285, j286, j287, j288, j289) =AVERAGE(k281, k282, k283, k284, k285, k286, k287, k288, k289) =AVERAGE(l281, l282, l283, l284, l285, l286, l287, l288, l289) =AVERAGE(m281, m282, m283, m284, m285, m286, m287, m288, m289) =AVERAGE(n281, n282, n283, n284, n285, n286, n287, n288, n289) =AVERAGE(o281, o282, o283, o284, o285, o286, o287, o288, o289) =AVERAGE(p281, p282, p283, p284, p285, p286, p287, p288, p289) =AVERAGE(q281, q282, q283, q284, q285, q286, q287, q288, q289) =AVERAGE(r281, r282, r283, r284, r285, r286, r287, r288, r289) =AVERAGE(s281, s282, s283, s284, s285, s286, s287, s288, s289) =AVERAGE(t281, t282, t283, t284, t285, t286, t287, t288, t289) =STDEV.P(a281, a282, a283, a284, a285, a286, a287, a288, a289) =STDEV.P(b281, b282, b283, b284, b285, b286, b287, b288, b289) =STDEV.P(c281, c282, c283, c284, c285, c286, c287, c288, c289) =STDEV.P(d281, d282, d283, d284, d285, d286, d287, d288, d289) =STDEV.P(e281, e282, e283, e284, e285, e286, e287, e288, e289) =STDEV.P(f281, f282, f283, f284, f285, f286, f287, f288, f289) =STDEV.P(g281, g282, g283, g284, g285, g286, g287, g288, g289) =STDEV.P(h281, h282, h283, h284, h285, h286, h287, h288, h289) =STDEV.P(i281, i282, i283, i284, i285, i286, i287, i288, i289) =STDEV.P(j281, j282, j283, j284, j285, j286, j287, j288, j289) =STDEV.P(k281, k282, k283, k284, k285, k286, k287, k288, k289) =STDEV.P(l281, l282, l283, l284, l285, l286, l287, l288, l289) =STDEV.P(m281, m282, m283, m284, m285, m286, m287, m288, m289) =STDEV.P(n281, n282, n283, n284, n285, n286, n287, n288, n289) =STDEV.P(o281, o282, o283, o284, o285, o286, o287, o288, o289) =STDEV.P(p281, p282, p283, p284, p285, p286, p287, p288, p289) =STDEV.P(q281, q282, q283, q284, q285, q286, q287, q288, q289) =STDEV.P(r281, r282, r283, r284, r285, r286, r287, r288, r289) =STDEV.P(s281, s282, s283, s284, s285, s286, s287, s288, s289) =STDEV.P(t281, t282, t283, t284, t285, t286, t287, t288, t289) +=AVERAGE(a290, a291, a292, a293, a294, a295, a296, a297, a298) =AVERAGE(b290, b291, b292, b293, b294, b295, b296, b297, b298) =AVERAGE(c290, c291, c292, c293, c294, c295, c296, c297, c298) =AVERAGE(d290, d291, d292, d293, d294, d295, d296, d297, d298) =AVERAGE(e290, e291, e292, e293, e294, e295, e296, e297, e298) =AVERAGE(f290, f291, f292, f293, f294, f295, f296, f297, f298) =AVERAGE(g290, g291, g292, g293, g294, g295, g296, g297, g298) =AVERAGE(h290, h291, h292, h293, h294, h295, h296, h297, h298) =AVERAGE(i290, i291, i292, i293, i294, i295, i296, i297, i298) =AVERAGE(j290, j291, j292, j293, j294, j295, j296, j297, j298) =AVERAGE(k290, k291, k292, k293, k294, k295, k296, k297, k298) =AVERAGE(l290, l291, l292, l293, l294, l295, l296, l297, l298) =AVERAGE(m290, m291, m292, m293, m294, m295, m296, m297, m298) =AVERAGE(n290, n291, n292, n293, n294, n295, n296, n297, n298) =AVERAGE(o290, o291, o292, o293, o294, o295, o296, o297, o298) =AVERAGE(p290, p291, p292, p293, p294, p295, p296, p297, p298) =AVERAGE(q290, q291, q292, q293, q294, q295, q296, q297, q298) =AVERAGE(r290, r291, r292, r293, r294, r295, r296, r297, r298) =AVERAGE(s290, s291, s292, s293, s294, s295, s296, s297, s298) =AVERAGE(t290, t291, t292, t293, t294, t295, t296, t297, t298) =STDEV.P(a290, a291, a292, a293, a294, a295, a296, a297, a298) =STDEV.P(b290, b291, b292, b293, b294, b295, b296, b297, b298) =STDEV.P(c290, c291, c292, c293, c294, c295, c296, c297, c298) =STDEV.P(d290, d291, d292, d293, d294, d295, d296, d297, d298) =STDEV.P(e290, e291, e292, e293, e294, e295, e296, e297, e298) =STDEV.P(f290, f291, f292, f293, f294, f295, f296, f297, f298) =STDEV.P(g290, g291, g292, g293, g294, g295, g296, g297, g298) =STDEV.P(h290, h291, h292, h293, h294, h295, h296, h297, h298) =STDEV.P(i290, i291, i292, i293, i294, i295, i296, i297, i298) =STDEV.P(j290, j291, j292, j293, j294, j295, j296, j297, j298) =STDEV.P(k290, k291, k292, k293, k294, k295, k296, k297, k298) =STDEV.P(l290, l291, l292, l293, l294, l295, l296, l297, l298) =STDEV.P(m290, m291, m292, m293, m294, m295, m296, m297, m298) =STDEV.P(n290, n291, n292, n293, n294, n295, n296, n297, n298) =STDEV.P(o290, o291, o292, o293, o294, o295, o296, o297, o298) =STDEV.P(p290, p291, p292, p293, p294, p295, p296, p297, p298) =STDEV.P(q290, q291, q292, q293, q294, q295, q296, q297, q298) =STDEV.P(r290, r291, r292, r293, r294, r295, r296, r297, r298) =STDEV.P(s290, s291, s292, s293, s294, s295, s296, s297, s298) =STDEV.P(t290, t291, t292, t293, t294, t295, t296, t297, t298) +=AVERAGE(a299, a300, a301, a302, a303, a304, a305, a306, a307) =AVERAGE(b299, b300, b301, b302, b303, b304, b305, b306, b307) =AVERAGE(c299, c300, c301, c302, c303, c304, c305, c306, c307) =AVERAGE(d299, d300, d301, d302, d303, d304, d305, d306, d307) =AVERAGE(e299, e300, e301, e302, e303, e304, e305, e306, e307) =AVERAGE(f299, f300, f301, f302, f303, f304, f305, f306, f307) =AVERAGE(g299, g300, g301, g302, g303, g304, g305, g306, g307) =AVERAGE(h299, h300, h301, h302, h303, h304, h305, h306, h307) =AVERAGE(i299, i300, i301, i302, i303, i304, i305, i306, i307) =AVERAGE(j299, j300, j301, j302, j303, j304, j305, j306, j307) =AVERAGE(k299, k300, k301, k302, k303, k304, k305, k306, k307) =AVERAGE(l299, l300, l301, l302, l303, l304, l305, l306, l307) =AVERAGE(m299, m300, m301, m302, m303, m304, m305, m306, m307) =AVERAGE(n299, n300, n301, n302, n303, n304, n305, n306, n307) =AVERAGE(o299, o300, o301, o302, o303, o304, o305, o306, o307) =AVERAGE(p299, p300, p301, p302, p303, p304, p305, p306, p307) =AVERAGE(q299, q300, q301, q302, q303, q304, q305, q306, q307) =AVERAGE(r299, r300, r301, r302, r303, r304, r305, r306, r307) =AVERAGE(s299, s300, s301, s302, s303, s304, s305, s306, s307) =AVERAGE(t299, t300, t301, t302, t303, t304, t305, t306, t307) =STDEV.P(a299, a300, a301, a302, a303, a304, a305, a306, a307) =STDEV.P(b299, b300, b301, b302, b303, b304, b305, b306, b307) =STDEV.P(c299, c300, c301, c302, c303, c304, c305, c306, c307) =STDEV.P(d299, d300, d301, d302, d303, d304, d305, d306, d307) =STDEV.P(e299, e300, e301, e302, e303, e304, e305, e306, e307) =STDEV.P(f299, f300, f301, f302, f303, f304, f305, f306, f307) =STDEV.P(g299, g300, g301, g302, g303, g304, g305, g306, g307) =STDEV.P(h299, h300, h301, h302, h303, h304, h305, h306, h307) =STDEV.P(i299, i300, i301, i302, i303, i304, i305, i306, i307) =STDEV.P(j299, j300, j301, j302, j303, j304, j305, j306, j307) =STDEV.P(k299, k300, k301, k302, k303, k304, k305, k306, k307) =STDEV.P(l299, l300, l301, l302, l303, l304, l305, l306, l307) =STDEV.P(m299, m300, m301, m302, m303, m304, m305, m306, m307) =STDEV.P(n299, n300, n301, n302, n303, n304, n305, n306, n307) =STDEV.P(o299, o300, o301, o302, o303, o304, o305, o306, o307) =STDEV.P(p299, p300, p301, p302, p303, p304, p305, p306, p307) =STDEV.P(q299, q300, q301, q302, q303, q304, q305, q306, q307) =STDEV.P(r299, r300, r301, r302, r303, r304, r305, r306, r307) =STDEV.P(s299, s300, s301, s302, s303, s304, s305, s306, s307) =STDEV.P(t299, t300, t301, t302, t303, t304, t305, t306, t307) +=AVERAGE(a308, a309, a310, a311, a312, a313, a314, a315, a316) =AVERAGE(b308, b309, b310, b311, b312, b313, b314, b315, b316) =AVERAGE(c308, c309, c310, c311, c312, c313, c314, c315, c316) =AVERAGE(d308, d309, d310, d311, d312, d313, d314, d315, d316) =AVERAGE(e308, e309, e310, e311, e312, e313, e314, e315, e316) =AVERAGE(f308, f309, f310, f311, f312, f313, f314, f315, f316) =AVERAGE(g308, g309, g310, g311, g312, g313, g314, g315, g316) =AVERAGE(h308, h309, h310, h311, h312, h313, h314, h315, h316) =AVERAGE(i308, i309, i310, i311, i312, i313, i314, i315, i316) =AVERAGE(j308, j309, j310, j311, j312, j313, j314, j315, j316) =AVERAGE(k308, k309, k310, k311, k312, k313, k314, k315, k316) =AVERAGE(l308, l309, l310, l311, l312, l313, l314, l315, l316) =AVERAGE(m308, m309, m310, m311, m312, m313, m314, m315, m316) =AVERAGE(n308, n309, n310, n311, n312, n313, n314, n315, n316) =AVERAGE(o308, o309, o310, o311, o312, o313, o314, o315, o316) =AVERAGE(p308, p309, p310, p311, p312, p313, p314, p315, p316) =AVERAGE(q308, q309, q310, q311, q312, q313, q314, q315, q316) =AVERAGE(r308, r309, r310, r311, r312, r313, r314, r315, r316) =AVERAGE(s308, s309, s310, s311, s312, s313, s314, s315, s316) =AVERAGE(t308, t309, t310, t311, t312, t313, t314, t315, t316) =STDEV.P(a308, a309, a310, a311, a312, a313, a314, a315, a316) =STDEV.P(b308, b309, b310, b311, b312, b313, b314, b315, b316) =STDEV.P(c308, c309, c310, c311, c312, c313, c314, c315, c316) =STDEV.P(d308, d309, d310, d311, d312, d313, d314, d315, d316) =STDEV.P(e308, e309, e310, e311, e312, e313, e314, e315, e316) =STDEV.P(f308, f309, f310, f311, f312, f313, f314, f315, f316) =STDEV.P(g308, g309, g310, g311, g312, g313, g314, g315, g316) =STDEV.P(h308, h309, h310, h311, h312, h313, h314, h315, h316) =STDEV.P(i308, i309, i310, i311, i312, i313, i314, i315, i316) =STDEV.P(j308, j309, j310, j311, j312, j313, j314, j315, j316) =STDEV.P(k308, k309, k310, k311, k312, k313, k314, k315, k316) =STDEV.P(l308, l309, l310, l311, l312, l313, l314, l315, l316) =STDEV.P(m308, m309, m310, m311, m312, m313, m314, m315, m316) =STDEV.P(n308, n309, n310, n311, n312, n313, n314, n315, n316) =STDEV.P(o308, o309, o310, o311, o312, o313, o314, o315, o316) =STDEV.P(p308, p309, p310, p311, p312, p313, p314, p315, p316) =STDEV.P(q308, q309, q310, q311, q312, q313, q314, q315, q316) =STDEV.P(r308, r309, r310, r311, r312, r313, r314, r315, r316) =STDEV.P(s308, s309, s310, s311, s312, s313, s314, s315, s316) =STDEV.P(t308, t309, t310, t311, t312, t313, t314, t315, t316) +=AVERAGE(a317, a318, a319, a320, a321, a322, a323, a324, a325) =AVERAGE(b317, b318, b319, b320, b321, b322, b323, b324, b325) =AVERAGE(c317, c318, c319, c320, c321, c322, c323, c324, c325) =AVERAGE(d317, d318, d319, d320, d321, d322, d323, d324, d325) =AVERAGE(e317, e318, e319, e320, e321, e322, e323, e324, e325) =AVERAGE(f317, f318, f319, f320, f321, f322, f323, f324, f325) =AVERAGE(g317, g318, g319, g320, g321, g322, g323, g324, g325) =AVERAGE(h317, h318, h319, h320, h321, h322, h323, h324, h325) =AVERAGE(i317, i318, i319, i320, i321, i322, i323, i324, i325) =AVERAGE(j317, j318, j319, j320, j321, j322, j323, j324, j325) =AVERAGE(k317, k318, k319, k320, k321, k322, k323, k324, k325) =AVERAGE(l317, l318, l319, l320, l321, l322, l323, l324, l325) =AVERAGE(m317, m318, m319, m320, m321, m322, m323, m324, m325) =AVERAGE(n317, n318, n319, n320, n321, n322, n323, n324, n325) =AVERAGE(o317, o318, o319, o320, o321, o322, o323, o324, o325) =AVERAGE(p317, p318, p319, p320, p321, p322, p323, p324, p325) =AVERAGE(q317, q318, q319, q320, q321, q322, q323, q324, q325) =AVERAGE(r317, r318, r319, r320, r321, r322, r323, r324, r325) =AVERAGE(s317, s318, s319, s320, s321, s322, s323, s324, s325) =AVERAGE(t317, t318, t319, t320, t321, t322, t323, t324, t325) =STDEV.P(a317, a318, a319, a320, a321, a322, a323, a324, a325) =STDEV.P(b317, b318, b319, b320, b321, b322, b323, b324, b325) =STDEV.P(c317, c318, c319, c320, c321, c322, c323, c324, c325) =STDEV.P(d317, d318, d319, d320, d321, d322, d323, d324, d325) =STDEV.P(e317, e318, e319, e320, e321, e322, e323, e324, e325) =STDEV.P(f317, f318, f319, f320, f321, f322, f323, f324, f325) =STDEV.P(g317, g318, g319, g320, g321, g322, g323, g324, g325) =STDEV.P(h317, h318, h319, h320, h321, h322, h323, h324, h325) =STDEV.P(i317, i318, i319, i320, i321, i322, i323, i324, i325) =STDEV.P(j317, j318, j319, j320, j321, j322, j323, j324, j325) =STDEV.P(k317, k318, k319, k320, k321, k322, k323, k324, k325) =STDEV.P(l317, l318, l319, l320, l321, l322, l323, l324, l325) =STDEV.P(m317, m318, m319, m320, m321, m322, m323, m324, m325) =STDEV.P(n317, n318, n319, n320, n321, n322, n323, n324, n325) =STDEV.P(o317, o318, o319, o320, o321, o322, o323, o324, o325) =STDEV.P(p317, p318, p319, p320, p321, p322, p323, p324, p325) =STDEV.P(q317, q318, q319, q320, q321, q322, q323, q324, q325) =STDEV.P(r317, r318, r319, r320, r321, r322, r323, r324, r325) =STDEV.P(s317, s318, s319, s320, s321, s322, s323, s324, s325) =STDEV.P(t317, t318, t319, t320, t321, t322, t323, t324, t325) +=AVERAGE(a326, a327, a328, a329, a330, a331, a332, a333) =AVERAGE(b326, b327, b328, b329, b330, b331, b332, b333) =AVERAGE(c326, c327, c328, c329, c330, c331, c332, c333) =AVERAGE(d326, d327, d328, d329, d330, d331, d332, d333) =AVERAGE(e326, e327, e328, e329, e330, e331, e332, e333) =AVERAGE(f326, f327, f328, f329, f330, f331, f332, f333) =AVERAGE(g326, g327, g328, g329, g330, g331, g332, g333) =AVERAGE(h326, h327, h328, h329, h330, h331, h332, h333) =AVERAGE(i326, i327, i328, i329, i330, i331, i332, i333) =AVERAGE(j326, j327, j328, j329, j330, j331, j332, j333) =AVERAGE(k326, k327, k328, k329, k330, k331, k332, k333) =AVERAGE(l326, l327, l328, l329, l330, l331, l332, l333) =AVERAGE(m326, m327, m328, m329, m330, m331, m332, m333) =AVERAGE(n326, n327, n328, n329, n330, n331, n332, n333) =AVERAGE(o326, o327, o328, o329, o330, o331, o332, o333) =AVERAGE(p326, p327, p328, p329, p330, p331, p332, p333) =AVERAGE(q326, q327, q328, q329, q330, q331, q332, q333) =AVERAGE(r326, r327, r328, r329, r330, r331, r332, r333) =AVERAGE(s326, s327, s328, s329, s330, s331, s332, s333) =AVERAGE(t326, t327, t328, t329, t330, t331, t332, t333) =STDEV.P(a326, a327, a328, a329, a330, a331, a332, a333) =STDEV.P(b326, b327, b328, b329, b330, b331, b332, b333) =STDEV.P(c326, c327, c328, c329, c330, c331, c332, c333) =STDEV.P(d326, d327, d328, d329, d330, d331, d332, d333) =STDEV.P(e326, e327, e328, e329, e330, e331, e332, e333) =STDEV.P(f326, f327, f328, f329, f330, f331, f332, f333) =STDEV.P(g326, g327, g328, g329, g330, g331, g332, g333) =STDEV.P(h326, h327, h328, h329, h330, h331, h332, h333) =STDEV.P(i326, i327, i328, i329, i330, i331, i332, i333) =STDEV.P(j326, j327, j328, j329, j330, j331, j332, j333) =STDEV.P(k326, k327, k328, k329, k330, k331, k332, k333) =STDEV.P(l326, l327, l328, l329, l330, l331, l332, l333) =STDEV.P(m326, m327, m328, m329, m330, m331, m332, m333) =STDEV.P(n326, n327, n328, n329, n330, n331, n332, n333) =STDEV.P(o326, o327, o328, o329, o330, o331, o332, o333) =STDEV.P(p326, p327, p328, p329, p330, p331, p332, p333) =STDEV.P(q326, q327, q328, q329, q330, q331, q332, q333) =STDEV.P(r326, r327, r328, r329, r330, r331, r332, r333) =STDEV.P(s326, s327, s328, s329, s330, s331, s332, s333) =STDEV.P(t326, t327, t328, t329, t330, t331, t332, t333) +=AVERAGE(a334, a335, a336, a337, a338, a339, a340, a341) =AVERAGE(b334, b335, b336, b337, b338, b339, b340, b341) =AVERAGE(c334, c335, c336, c337, c338, c339, c340, c341) =AVERAGE(d334, d335, d336, d337, d338, d339, d340, d341) =AVERAGE(e334, e335, e336, e337, e338, e339, e340, e341) =AVERAGE(f334, f335, f336, f337, f338, f339, f340, f341) =AVERAGE(g334, g335, g336, g337, g338, g339, g340, g341) =AVERAGE(h334, h335, h336, h337, h338, h339, h340, h341) =AVERAGE(i334, i335, i336, i337, i338, i339, i340, i341) =AVERAGE(j334, j335, j336, j337, j338, j339, j340, j341) =AVERAGE(k334, k335, k336, k337, k338, k339, k340, k341) =AVERAGE(l334, l335, l336, l337, l338, l339, l340, l341) =AVERAGE(m334, m335, m336, m337, m338, m339, m340, m341) =AVERAGE(n334, n335, n336, n337, n338, n339, n340, n341) =AVERAGE(o334, o335, o336, o337, o338, o339, o340, o341) =AVERAGE(p334, p335, p336, p337, p338, p339, p340, p341) =AVERAGE(q334, q335, q336, q337, q338, q339, q340, q341) =AVERAGE(r334, r335, r336, r337, r338, r339, r340, r341) =AVERAGE(s334, s335, s336, s337, s338, s339, s340, s341) =AVERAGE(t334, t335, t336, t337, t338, t339, t340, t341) =STDEV.P(a334, a335, a336, a337, a338, a339, a340, a341) =STDEV.P(b334, b335, b336, b337, b338, b339, b340, b341) =STDEV.P(c334, c335, c336, c337, c338, c339, c340, c341) =STDEV.P(d334, d335, d336, d337, d338, d339, d340, d341) =STDEV.P(e334, e335, e336, e337, e338, e339, e340, e341) =STDEV.P(f334, f335, f336, f337, f338, f339, f340, f341) =STDEV.P(g334, g335, g336, g337, g338, g339, g340, g341) =STDEV.P(h334, h335, h336, h337, h338, h339, h340, h341) =STDEV.P(i334, i335, i336, i337, i338, i339, i340, i341) =STDEV.P(j334, j335, j336, j337, j338, j339, j340, j341) =STDEV.P(k334, k335, k336, k337, k338, k339, k340, k341) =STDEV.P(l334, l335, l336, l337, l338, l339, l340, l341) =STDEV.P(m334, m335, m336, m337, m338, m339, m340, m341) =STDEV.P(n334, n335, n336, n337, n338, n339, n340, n341) =STDEV.P(o334, o335, o336, o337, o338, o339, o340, o341) =STDEV.P(p334, p335, p336, p337, p338, p339, p340, p341) =STDEV.P(q334, q335, q336, q337, q338, q339, q340, q341) =STDEV.P(r334, r335, r336, r337, r338, r339, r340, r341) =STDEV.P(s334, s335, s336, s337, s338, s339, s340, s341) =STDEV.P(t334, t335, t336, t337, t338, t339, t340, t341) +=AVERAGE(a342, a343, a344, a345, a346, a347, a348, a349) =AVERAGE(b342, b343, b344, b345, b346, b347, b348, b349) =AVERAGE(c342, c343, c344, c345, c346, c347, c348, c349) =AVERAGE(d342, d343, d344, d345, d346, d347, d348, d349) =AVERAGE(e342, e343, e344, e345, e346, e347, e348, e349) =AVERAGE(f342, f343, f344, f345, f346, f347, f348, f349) =AVERAGE(g342, g343, g344, g345, g346, g347, g348, g349) =AVERAGE(h342, h343, h344, h345, h346, h347, h348, h349) =AVERAGE(i342, i343, i344, i345, i346, i347, i348, i349) =AVERAGE(j342, j343, j344, j345, j346, j347, j348, j349) =AVERAGE(k342, k343, k344, k345, k346, k347, k348, k349) =AVERAGE(l342, l343, l344, l345, l346, l347, l348, l349) =AVERAGE(m342, m343, m344, m345, m346, m347, m348, m349) =AVERAGE(n342, n343, n344, n345, n346, n347, n348, n349) =AVERAGE(o342, o343, o344, o345, o346, o347, o348, o349) =AVERAGE(p342, p343, p344, p345, p346, p347, p348, p349) =AVERAGE(q342, q343, q344, q345, q346, q347, q348, q349) =AVERAGE(r342, r343, r344, r345, r346, r347, r348, r349) =AVERAGE(s342, s343, s344, s345, s346, s347, s348, s349) =AVERAGE(t342, t343, t344, t345, t346, t347, t348, t349) =STDEV.P(a342, a343, a344, a345, a346, a347, a348, a349) =STDEV.P(b342, b343, b344, b345, b346, b347, b348, b349) =STDEV.P(c342, c343, c344, c345, c346, c347, c348, c349) =STDEV.P(d342, d343, d344, d345, d346, d347, d348, d349) =STDEV.P(e342, e343, e344, e345, e346, e347, e348, e349) =STDEV.P(f342, f343, f344, f345, f346, f347, f348, f349) =STDEV.P(g342, g343, g344, g345, g346, g347, g348, g349) =STDEV.P(h342, h343, h344, h345, h346, h347, h348, h349) =STDEV.P(i342, i343, i344, i345, i346, i347, i348, i349) =STDEV.P(j342, j343, j344, j345, j346, j347, j348, j349) =STDEV.P(k342, k343, k344, k345, k346, k347, k348, k349) =STDEV.P(l342, l343, l344, l345, l346, l347, l348, l349) =STDEV.P(m342, m343, m344, m345, m346, m347, m348, m349) =STDEV.P(n342, n343, n344, n345, n346, n347, n348, n349) =STDEV.P(o342, o343, o344, o345, o346, o347, o348, o349) =STDEV.P(p342, p343, p344, p345, p346, p347, p348, p349) =STDEV.P(q342, q343, q344, q345, q346, q347, q348, q349) =STDEV.P(r342, r343, r344, r345, r346, r347, r348, r349) =STDEV.P(s342, s343, s344, s345, s346, s347, s348, s349) =STDEV.P(t342, t343, t344, t345, t346, t347, t348, t349) +=AVERAGE(a350, a351, a352, a353, a354, a355, a356, a357) =AVERAGE(b350, b351, b352, b353, b354, b355, b356, b357) =AVERAGE(c350, c351, c352, c353, c354, c355, c356, c357) =AVERAGE(d350, d351, d352, d353, d354, d355, d356, d357) =AVERAGE(e350, e351, e352, e353, e354, e355, e356, e357) =AVERAGE(f350, f351, f352, f353, f354, f355, f356, f357) =AVERAGE(g350, g351, g352, g353, g354, g355, g356, g357) =AVERAGE(h350, h351, h352, h353, h354, h355, h356, h357) =AVERAGE(i350, i351, i352, i353, i354, i355, i356, i357) =AVERAGE(j350, j351, j352, j353, j354, j355, j356, j357) =AVERAGE(k350, k351, k352, k353, k354, k355, k356, k357) =AVERAGE(l350, l351, l352, l353, l354, l355, l356, l357) =AVERAGE(m350, m351, m352, m353, m354, m355, m356, m357) =AVERAGE(n350, n351, n352, n353, n354, n355, n356, n357) =AVERAGE(o350, o351, o352, o353, o354, o355, o356, o357) =AVERAGE(p350, p351, p352, p353, p354, p355, p356, p357) =AVERAGE(q350, q351, q352, q353, q354, q355, q356, q357) =AVERAGE(r350, r351, r352, r353, r354, r355, r356, r357) =AVERAGE(s350, s351, s352, s353, s354, s355, s356, s357) =AVERAGE(t350, t351, t352, t353, t354, t355, t356, t357) =STDEV.P(a350, a351, a352, a353, a354, a355, a356, a357) =STDEV.P(b350, b351, b352, b353, b354, b355, b356, b357) =STDEV.P(c350, c351, c352, c353, c354, c355, c356, c357) =STDEV.P(d350, d351, d352, d353, d354, d355, d356, d357) =STDEV.P(e350, e351, e352, e353, e354, e355, e356, e357) =STDEV.P(f350, f351, f352, f353, f354, f355, f356, f357) =STDEV.P(g350, g351, g352, g353, g354, g355, g356, g357) =STDEV.P(h350, h351, h352, h353, h354, h355, h356, h357) =STDEV.P(i350, i351, i352, i353, i354, i355, i356, i357) =STDEV.P(j350, j351, j352, j353, j354, j355, j356, j357) =STDEV.P(k350, k351, k352, k353, k354, k355, k356, k357) =STDEV.P(l350, l351, l352, l353, l354, l355, l356, l357) =STDEV.P(m350, m351, m352, m353, m354, m355, m356, m357) =STDEV.P(n350, n351, n352, n353, n354, n355, n356, n357) =STDEV.P(o350, o351, o352, o353, o354, o355, o356, o357) =STDEV.P(p350, p351, p352, p353, p354, p355, p356, p357) =STDEV.P(q350, q351, q352, q353, q354, q355, q356, q357) =STDEV.P(r350, r351, r352, r353, r354, r355, r356, r357) =STDEV.P(s350, s351, s352, s353, s354, s355, s356, s357) =STDEV.P(t350, t351, t352, t353, t354, t355, t356, t357) +=AVERAGE(a358, a359, a360, a361, a362, a363, a364) =AVERAGE(b358, b359, b360, b361, b362, b363, b364) =AVERAGE(c358, c359, c360, c361, c362, c363, c364) =AVERAGE(d358, d359, d360, d361, d362, d363, d364) =AVERAGE(e358, e359, e360, e361, e362, e363, e364) =AVERAGE(f358, f359, f360, f361, f362, f363, f364) =AVERAGE(g358, g359, g360, g361, g362, g363, g364) =AVERAGE(h358, h359, h360, h361, h362, h363, h364) =AVERAGE(i358, i359, i360, i361, i362, i363, i364) =AVERAGE(j358, j359, j360, j361, j362, j363, j364) =AVERAGE(k358, k359, k360, k361, k362, k363, k364) =AVERAGE(l358, l359, l360, l361, l362, l363, l364) =AVERAGE(m358, m359, m360, m361, m362, m363, m364) =AVERAGE(n358, n359, n360, n361, n362, n363, n364) =AVERAGE(o358, o359, o360, o361, o362, o363, o364) =AVERAGE(p358, p359, p360, p361, p362, p363, p364) =AVERAGE(q358, q359, q360, q361, q362, q363, q364) =AVERAGE(r358, r359, r360, r361, r362, r363, r364) =AVERAGE(s358, s359, s360, s361, s362, s363, s364) =AVERAGE(t358, t359, t360, t361, t362, t363, t364) =STDEV.P(a358, a359, a360, a361, a362, a363, a364) =STDEV.P(b358, b359, b360, b361, b362, b363, b364) =STDEV.P(c358, c359, c360, c361, c362, c363, c364) =STDEV.P(d358, d359, d360, d361, d362, d363, d364) =STDEV.P(e358, e359, e360, e361, e362, e363, e364) =STDEV.P(f358, f359, f360, f361, f362, f363, f364) =STDEV.P(g358, g359, g360, g361, g362, g363, g364) =STDEV.P(h358, h359, h360, h361, h362, h363, h364) =STDEV.P(i358, i359, i360, i361, i362, i363, i364) =STDEV.P(j358, j359, j360, j361, j362, j363, j364) =STDEV.P(k358, k359, k360, k361, k362, k363, k364) =STDEV.P(l358, l359, l360, l361, l362, l363, l364) =STDEV.P(m358, m359, m360, m361, m362, m363, m364) =STDEV.P(n358, n359, n360, n361, n362, n363, n364) =STDEV.P(o358, o359, o360, o361, o362, o363, o364) =STDEV.P(p358, p359, p360, p361, p362, p363, p364) =STDEV.P(q358, q359, q360, q361, q362, q363, q364) =STDEV.P(r358, r359, r360, r361, r362, r363, r364) =STDEV.P(s358, s359, s360, s361, s362, s363, s364) =STDEV.P(t358, t359, t360, t361, t362, t363, t364) +=AVERAGE(a365, a366, a367, a368, a369, a370, a371) =AVERAGE(b365, b366, b367, b368, b369, b370, b371) =AVERAGE(c365, c366, c367, c368, c369, c370, c371) =AVERAGE(d365, d366, d367, d368, d369, d370, d371) =AVERAGE(e365, e366, e367, e368, e369, e370, e371) =AVERAGE(f365, f366, f367, f368, f369, f370, f371) =AVERAGE(g365, g366, g367, g368, g369, g370, g371) =AVERAGE(h365, h366, h367, h368, h369, h370, h371) =AVERAGE(i365, i366, i367, i368, i369, i370, i371) =AVERAGE(j365, j366, j367, j368, j369, j370, j371) =AVERAGE(k365, k366, k367, k368, k369, k370, k371) =AVERAGE(l365, l366, l367, l368, l369, l370, l371) =AVERAGE(m365, m366, m367, m368, m369, m370, m371) =AVERAGE(n365, n366, n367, n368, n369, n370, n371) =AVERAGE(o365, o366, o367, o368, o369, o370, o371) =AVERAGE(p365, p366, p367, p368, p369, p370, p371) =AVERAGE(q365, q366, q367, q368, q369, q370, q371) =AVERAGE(r365, r366, r367, r368, r369, r370, r371) =AVERAGE(s365, s366, s367, s368, s369, s370, s371) =AVERAGE(t365, t366, t367, t368, t369, t370, t371) =STDEV.P(a365, a366, a367, a368, a369, a370, a371) =STDEV.P(b365, b366, b367, b368, b369, b370, b371) =STDEV.P(c365, c366, c367, c368, c369, c370, c371) =STDEV.P(d365, d366, d367, d368, d369, d370, d371) =STDEV.P(e365, e366, e367, e368, e369, e370, e371) =STDEV.P(f365, f366, f367, f368, f369, f370, f371) =STDEV.P(g365, g366, g367, g368, g369, g370, g371) =STDEV.P(h365, h366, h367, h368, h369, h370, h371) =STDEV.P(i365, i366, i367, i368, i369, i370, i371) =STDEV.P(j365, j366, j367, j368, j369, j370, j371) =STDEV.P(k365, k366, k367, k368, k369, k370, k371) =STDEV.P(l365, l366, l367, l368, l369, l370, l371) =STDEV.P(m365, m366, m367, m368, m369, m370, m371) =STDEV.P(n365, n366, n367, n368, n369, n370, n371) =STDEV.P(o365, o366, o367, o368, o369, o370, o371) =STDEV.P(p365, p366, p367, p368, p369, p370, p371) =STDEV.P(q365, q366, q367, q368, q369, q370, q371) =STDEV.P(r365, r366, r367, r368, r369, r370, r371) =STDEV.P(s365, s366, s367, s368, s369, s370, s371) =STDEV.P(t365, t366, t367, t368, t369, t370, t371) +=AVERAGE(a372, a373, a374, a375, a376, a377, a378) =AVERAGE(b372, b373, b374, b375, b376, b377, b378) =AVERAGE(c372, c373, c374, c375, c376, c377, c378) =AVERAGE(d372, d373, d374, d375, d376, d377, d378) =AVERAGE(e372, e373, e374, e375, e376, e377, e378) =AVERAGE(f372, f373, f374, f375, f376, f377, f378) =AVERAGE(g372, g373, g374, g375, g376, g377, g378) =AVERAGE(h372, h373, h374, h375, h376, h377, h378) =AVERAGE(i372, i373, i374, i375, i376, i377, i378) =AVERAGE(j372, j373, j374, j375, j376, j377, j378) =AVERAGE(k372, k373, k374, k375, k376, k377, k378) =AVERAGE(l372, l373, l374, l375, l376, l377, l378) =AVERAGE(m372, m373, m374, m375, m376, m377, m378) =AVERAGE(n372, n373, n374, n375, n376, n377, n378) =AVERAGE(o372, o373, o374, o375, o376, o377, o378) =AVERAGE(p372, p373, p374, p375, p376, p377, p378) =AVERAGE(q372, q373, q374, q375, q376, q377, q378) =AVERAGE(r372, r373, r374, r375, r376, r377, r378) =AVERAGE(s372, s373, s374, s375, s376, s377, s378) =AVERAGE(t372, t373, t374, t375, t376, t377, t378) =STDEV.P(a372, a373, a374, a375, a376, a377, a378) =STDEV.P(b372, b373, b374, b375, b376, b377, b378) =STDEV.P(c372, c373, c374, c375, c376, c377, c378) =STDEV.P(d372, d373, d374, d375, d376, d377, d378) =STDEV.P(e372, e373, e374, e375, e376, e377, e378) =STDEV.P(f372, f373, f374, f375, f376, f377, f378) =STDEV.P(g372, g373, g374, g375, g376, g377, g378) =STDEV.P(h372, h373, h374, h375, h376, h377, h378) =STDEV.P(i372, i373, i374, i375, i376, i377, i378) =STDEV.P(j372, j373, j374, j375, j376, j377, j378) =STDEV.P(k372, k373, k374, k375, k376, k377, k378) =STDEV.P(l372, l373, l374, l375, l376, l377, l378) =STDEV.P(m372, m373, m374, m375, m376, m377, m378) =STDEV.P(n372, n373, n374, n375, n376, n377, n378) =STDEV.P(o372, o373, o374, o375, o376, o377, o378) =STDEV.P(p372, p373, p374, p375, p376, p377, p378) =STDEV.P(q372, q373, q374, q375, q376, q377, q378) =STDEV.P(r372, r373, r374, r375, r376, r377, r378) =STDEV.P(s372, s373, s374, s375, s376, s377, s378) =STDEV.P(t372, t373, t374, t375, t376, t377, t378) +=AVERAGE(a379, a380, a381, a382, a383, a384, a385) =AVERAGE(b379, b380, b381, b382, b383, b384, b385) =AVERAGE(c379, c380, c381, c382, c383, c384, c385) =AVERAGE(d379, d380, d381, d382, d383, d384, d385) =AVERAGE(e379, e380, e381, e382, e383, e384, e385) =AVERAGE(f379, f380, f381, f382, f383, f384, f385) =AVERAGE(g379, g380, g381, g382, g383, g384, g385) =AVERAGE(h379, h380, h381, h382, h383, h384, h385) =AVERAGE(i379, i380, i381, i382, i383, i384, i385) =AVERAGE(j379, j380, j381, j382, j383, j384, j385) =AVERAGE(k379, k380, k381, k382, k383, k384, k385) =AVERAGE(l379, l380, l381, l382, l383, l384, l385) =AVERAGE(m379, m380, m381, m382, m383, m384, m385) =AVERAGE(n379, n380, n381, n382, n383, n384, n385) =AVERAGE(o379, o380, o381, o382, o383, o384, o385) =AVERAGE(p379, p380, p381, p382, p383, p384, p385) =AVERAGE(q379, q380, q381, q382, q383, q384, q385) =AVERAGE(r379, r380, r381, r382, r383, r384, r385) =AVERAGE(s379, s380, s381, s382, s383, s384, s385) =AVERAGE(t379, t380, t381, t382, t383, t384, t385) =STDEV.P(a379, a380, a381, a382, a383, a384, a385) =STDEV.P(b379, b380, b381, b382, b383, b384, b385) =STDEV.P(c379, c380, c381, c382, c383, c384, c385) =STDEV.P(d379, d380, d381, d382, d383, d384, d385) =STDEV.P(e379, e380, e381, e382, e383, e384, e385) =STDEV.P(f379, f380, f381, f382, f383, f384, f385) =STDEV.P(g379, g380, g381, g382, g383, g384, g385) =STDEV.P(h379, h380, h381, h382, h383, h384, h385) =STDEV.P(i379, i380, i381, i382, i383, i384, i385) =STDEV.P(j379, j380, j381, j382, j383, j384, j385) =STDEV.P(k379, k380, k381, k382, k383, k384, k385) =STDEV.P(l379, l380, l381, l382, l383, l384, l385) =STDEV.P(m379, m380, m381, m382, m383, m384, m385) =STDEV.P(n379, n380, n381, n382, n383, n384, n385) =STDEV.P(o379, o380, o381, o382, o383, o384, o385) =STDEV.P(p379, p380, p381, p382, p383, p384, p385) =STDEV.P(q379, q380, q381, q382, q383, q384, q385) =STDEV.P(r379, r380, r381, r382, r383, r384, r385) =STDEV.P(s379, s380, s381, s382, s383, s384, s385) =STDEV.P(t379, t380, t381, t382, t383, t384, t385) +=AVERAGE(a386, a387, a388, a389, a390, a391, a392) =AVERAGE(b386, b387, b388, b389, b390, b391, b392) =AVERAGE(c386, c387, c388, c389, c390, c391, c392) =AVERAGE(d386, d387, d388, d389, d390, d391, d392) =AVERAGE(e386, e387, e388, e389, e390, e391, e392) =AVERAGE(f386, f387, f388, f389, f390, f391, f392) =AVERAGE(g386, g387, g388, g389, g390, g391, g392) =AVERAGE(h386, h387, h388, h389, h390, h391, h392) =AVERAGE(i386, i387, i388, i389, i390, i391, i392) =AVERAGE(j386, j387, j388, j389, j390, j391, j392) =AVERAGE(k386, k387, k388, k389, k390, k391, k392) =AVERAGE(l386, l387, l388, l389, l390, l391, l392) =AVERAGE(m386, m387, m388, m389, m390, m391, m392) =AVERAGE(n386, n387, n388, n389, n390, n391, n392) =AVERAGE(o386, o387, o388, o389, o390, o391, o392) =AVERAGE(p386, p387, p388, p389, p390, p391, p392) =AVERAGE(q386, q387, q388, q389, q390, q391, q392) =AVERAGE(r386, r387, r388, r389, r390, r391, r392) =AVERAGE(s386, s387, s388, s389, s390, s391, s392) =AVERAGE(t386, t387, t388, t389, t390, t391, t392) =STDEV.P(a386, a387, a388, a389, a390, a391, a392) =STDEV.P(b386, b387, b388, b389, b390, b391, b392) =STDEV.P(c386, c387, c388, c389, c390, c391, c392) =STDEV.P(d386, d387, d388, d389, d390, d391, d392) =STDEV.P(e386, e387, e388, e389, e390, e391, e392) =STDEV.P(f386, f387, f388, f389, f390, f391, f392) =STDEV.P(g386, g387, g388, g389, g390, g391, g392) =STDEV.P(h386, h387, h388, h389, h390, h391, h392) =STDEV.P(i386, i387, i388, i389, i390, i391, i392) =STDEV.P(j386, j387, j388, j389, j390, j391, j392) =STDEV.P(k386, k387, k388, k389, k390, k391, k392) =STDEV.P(l386, l387, l388, l389, l390, l391, l392) =STDEV.P(m386, m387, m388, m389, m390, m391, m392) =STDEV.P(n386, n387, n388, n389, n390, n391, n392) =STDEV.P(o386, o387, o388, o389, o390, o391, o392) =STDEV.P(p386, p387, p388, p389, p390, p391, p392) =STDEV.P(q386, q387, q388, q389, q390, q391, q392) =STDEV.P(r386, r387, r388, r389, r390, r391, r392) =STDEV.P(s386, s387, s388, s389, s390, s391, s392) =STDEV.P(t386, t387, t388, t389, t390, t391, t392) +=AVERAGE(a393, a394, a395, a396, a397, a398, a399) =AVERAGE(b393, b394, b395, b396, b397, b398, b399) =AVERAGE(c393, c394, c395, c396, c397, c398, c399) =AVERAGE(d393, d394, d395, d396, d397, d398, d399) =AVERAGE(e393, e394, e395, e396, e397, e398, e399) =AVERAGE(f393, f394, f395, f396, f397, f398, f399) =AVERAGE(g393, g394, g395, g396, g397, g398, g399) =AVERAGE(h393, h394, h395, h396, h397, h398, h399) =AVERAGE(i393, i394, i395, i396, i397, i398, i399) =AVERAGE(j393, j394, j395, j396, j397, j398, j399) =AVERAGE(k393, k394, k395, k396, k397, k398, k399) =AVERAGE(l393, l394, l395, l396, l397, l398, l399) =AVERAGE(m393, m394, m395, m396, m397, m398, m399) =AVERAGE(n393, n394, n395, n396, n397, n398, n399) =AVERAGE(o393, o394, o395, o396, o397, o398, o399) =AVERAGE(p393, p394, p395, p396, p397, p398, p399) =AVERAGE(q393, q394, q395, q396, q397, q398, q399) =AVERAGE(r393, r394, r395, r396, r397, r398, r399) =AVERAGE(s393, s394, s395, s396, s397, s398, s399) =AVERAGE(t393, t394, t395, t396, t397, t398, t399) =STDEV.P(a393, a394, a395, a396, a397, a398, a399) =STDEV.P(b393, b394, b395, b396, b397, b398, b399) =STDEV.P(c393, c394, c395, c396, c397, c398, c399) =STDEV.P(d393, d394, d395, d396, d397, d398, d399) =STDEV.P(e393, e394, e395, e396, e397, e398, e399) =STDEV.P(f393, f394, f395, f396, f397, f398, f399) =STDEV.P(g393, g394, g395, g396, g397, g398, g399) =STDEV.P(h393, h394, h395, h396, h397, h398, h399) =STDEV.P(i393, i394, i395, i396, i397, i398, i399) =STDEV.P(j393, j394, j395, j396, j397, j398, j399) =STDEV.P(k393, k394, k395, k396, k397, k398, k399) =STDEV.P(l393, l394, l395, l396, l397, l398, l399) =STDEV.P(m393, m394, m395, m396, m397, m398, m399) =STDEV.P(n393, n394, n395, n396, n397, n398, n399) =STDEV.P(o393, o394, o395, o396, o397, o398, o399) =STDEV.P(p393, p394, p395, p396, p397, p398, p399) =STDEV.P(q393, q394, q395, q396, q397, q398, q399) =STDEV.P(r393, r394, r395, r396, r397, r398, r399) =STDEV.P(s393, s394, s395, s396, s397, s398, s399) =STDEV.P(t393, t394, t395, t396, t397, t398, t399) +=AVERAGE(a400, a401, a402, a403, a404, a405, a406) =AVERAGE(b400, b401, b402, b403, b404, b405, b406) =AVERAGE(c400, c401, c402, c403, c404, c405, c406) =AVERAGE(d400, d401, d402, d403, d404, d405, d406) =AVERAGE(e400, e401, e402, e403, e404, e405, e406) =AVERAGE(f400, f401, f402, f403, f404, f405, f406) =AVERAGE(g400, g401, g402, g403, g404, g405, g406) =AVERAGE(h400, h401, h402, h403, h404, h405, h406) =AVERAGE(i400, i401, i402, i403, i404, i405, i406) =AVERAGE(j400, j401, j402, j403, j404, j405, j406) =AVERAGE(k400, k401, k402, k403, k404, k405, k406) =AVERAGE(l400, l401, l402, l403, l404, l405, l406) =AVERAGE(m400, m401, m402, m403, m404, m405, m406) =AVERAGE(n400, n401, n402, n403, n404, n405, n406) =AVERAGE(o400, o401, o402, o403, o404, o405, o406) =AVERAGE(p400, p401, p402, p403, p404, p405, p406) =AVERAGE(q400, q401, q402, q403, q404, q405, q406) =AVERAGE(r400, r401, r402, r403, r404, r405, r406) =AVERAGE(s400, s401, s402, s403, s404, s405, s406) =AVERAGE(t400, t401, t402, t403, t404, t405, t406) =STDEV.P(a400, a401, a402, a403, a404, a405, a406) =STDEV.P(b400, b401, b402, b403, b404, b405, b406) =STDEV.P(c400, c401, c402, c403, c404, c405, c406) =STDEV.P(d400, d401, d402, d403, d404, d405, d406) =STDEV.P(e400, e401, e402, e403, e404, e405, e406) =STDEV.P(f400, f401, f402, f403, f404, f405, f406) =STDEV.P(g400, g401, g402, g403, g404, g405, g406) =STDEV.P(h400, h401, h402, h403, h404, h405, h406) =STDEV.P(i400, i401, i402, i403, i404, i405, i406) =STDEV.P(j400, j401, j402, j403, j404, j405, j406) =STDEV.P(k400, k401, k402, k403, k404, k405, k406) =STDEV.P(l400, l401, l402, l403, l404, l405, l406) =STDEV.P(m400, m401, m402, m403, m404, m405, m406) =STDEV.P(n400, n401, n402, n403, n404, n405, n406) =STDEV.P(o400, o401, o402, o403, o404, o405, o406) =STDEV.P(p400, p401, p402, p403, p404, p405, p406) =STDEV.P(q400, q401, q402, q403, q404, q405, q406) =STDEV.P(r400, r401, r402, r403, r404, r405, r406) =STDEV.P(s400, s401, s402, s403, s404, s405, s406) =STDEV.P(t400, t401, t402, t403, t404, t405, t406) +=AVERAGE(a407, a408, a409, a410, a411, a412, a413) =AVERAGE(b407, b408, b409, b410, b411, b412, b413) =AVERAGE(c407, c408, c409, c410, c411, c412, c413) =AVERAGE(d407, d408, d409, d410, d411, d412, d413) =AVERAGE(e407, e408, e409, e410, e411, e412, e413) =AVERAGE(f407, f408, f409, f410, f411, f412, f413) =AVERAGE(g407, g408, g409, g410, g411, g412, g413) =AVERAGE(h407, h408, h409, h410, h411, h412, h413) =AVERAGE(i407, i408, i409, i410, i411, i412, i413) =AVERAGE(j407, j408, j409, j410, j411, j412, j413) =AVERAGE(k407, k408, k409, k410, k411, k412, k413) =AVERAGE(l407, l408, l409, l410, l411, l412, l413) =AVERAGE(m407, m408, m409, m410, m411, m412, m413) =AVERAGE(n407, n408, n409, n410, n411, n412, n413) =AVERAGE(o407, o408, o409, o410, o411, o412, o413) =AVERAGE(p407, p408, p409, p410, p411, p412, p413) =AVERAGE(q407, q408, q409, q410, q411, q412, q413) =AVERAGE(r407, r408, r409, r410, r411, r412, r413) =AVERAGE(s407, s408, s409, s410, s411, s412, s413) =AVERAGE(t407, t408, t409, t410, t411, t412, t413) =STDEV.P(a407, a408, a409, a410, a411, a412, a413) =STDEV.P(b407, b408, b409, b410, b411, b412, b413) =STDEV.P(c407, c408, c409, c410, c411, c412, c413) =STDEV.P(d407, d408, d409, d410, d411, d412, d413) =STDEV.P(e407, e408, e409, e410, e411, e412, e413) =STDEV.P(f407, f408, f409, f410, f411, f412, f413) =STDEV.P(g407, g408, g409, g410, g411, g412, g413) =STDEV.P(h407, h408, h409, h410, h411, h412, h413) =STDEV.P(i407, i408, i409, i410, i411, i412, i413) =STDEV.P(j407, j408, j409, j410, j411, j412, j413) =STDEV.P(k407, k408, k409, k410, k411, k412, k413) =STDEV.P(l407, l408, l409, l410, l411, l412, l413) =STDEV.P(m407, m408, m409, m410, m411, m412, m413) =STDEV.P(n407, n408, n409, n410, n411, n412, n413) =STDEV.P(o407, o408, o409, o410, o411, o412, o413) =STDEV.P(p407, p408, p409, p410, p411, p412, p413) =STDEV.P(q407, q408, q409, q410, q411, q412, q413) =STDEV.P(r407, r408, r409, r410, r411, r412, r413) =STDEV.P(s407, s408, s409, s410, s411, s412, s413) =STDEV.P(t407, t408, t409, t410, t411, t412, t413) +=AVERAGE(a414, a415, a416, a417, a418, a419, a420) =AVERAGE(b414, b415, b416, b417, b418, b419, b420) =AVERAGE(c414, c415, c416, c417, c418, c419, c420) =AVERAGE(d414, d415, d416, d417, d418, d419, d420) =AVERAGE(e414, e415, e416, e417, e418, e419, e420) =AVERAGE(f414, f415, f416, f417, f418, f419, f420) =AVERAGE(g414, g415, g416, g417, g418, g419, g420) =AVERAGE(h414, h415, h416, h417, h418, h419, h420) =AVERAGE(i414, i415, i416, i417, i418, i419, i420) =AVERAGE(j414, j415, j416, j417, j418, j419, j420) =AVERAGE(k414, k415, k416, k417, k418, k419, k420) =AVERAGE(l414, l415, l416, l417, l418, l419, l420) =AVERAGE(m414, m415, m416, m417, m418, m419, m420) =AVERAGE(n414, n415, n416, n417, n418, n419, n420) =AVERAGE(o414, o415, o416, o417, o418, o419, o420) =AVERAGE(p414, p415, p416, p417, p418, p419, p420) =AVERAGE(q414, q415, q416, q417, q418, q419, q420) =AVERAGE(r414, r415, r416, r417, r418, r419, r420) =AVERAGE(s414, s415, s416, s417, s418, s419, s420) =AVERAGE(t414, t415, t416, t417, t418, t419, t420) =STDEV.P(a414, a415, a416, a417, a418, a419, a420) =STDEV.P(b414, b415, b416, b417, b418, b419, b420) =STDEV.P(c414, c415, c416, c417, c418, c419, c420) =STDEV.P(d414, d415, d416, d417, d418, d419, d420) =STDEV.P(e414, e415, e416, e417, e418, e419, e420) =STDEV.P(f414, f415, f416, f417, f418, f419, f420) =STDEV.P(g414, g415, g416, g417, g418, g419, g420) =STDEV.P(h414, h415, h416, h417, h418, h419, h420) =STDEV.P(i414, i415, i416, i417, i418, i419, i420) =STDEV.P(j414, j415, j416, j417, j418, j419, j420) =STDEV.P(k414, k415, k416, k417, k418, k419, k420) =STDEV.P(l414, l415, l416, l417, l418, l419, l420) =STDEV.P(m414, m415, m416, m417, m418, m419, m420) =STDEV.P(n414, n415, n416, n417, n418, n419, n420) =STDEV.P(o414, o415, o416, o417, o418, o419, o420) =STDEV.P(p414, p415, p416, p417, p418, p419, p420) =STDEV.P(q414, q415, q416, q417, q418, q419, q420) =STDEV.P(r414, r415, r416, r417, r418, r419, r420) =STDEV.P(s414, s415, s416, s417, s418, s419, s420) =STDEV.P(t414, t415, t416, t417, t418, t419, t420) +=AVERAGE(a421, a422, a423, a424, a425, a426, a427) =AVERAGE(b421, b422, b423, b424, b425, b426, b427) =AVERAGE(c421, c422, c423, c424, c425, c426, c427) =AVERAGE(d421, d422, d423, d424, d425, d426, d427) =AVERAGE(e421, e422, e423, e424, e425, e426, e427) =AVERAGE(f421, f422, f423, f424, f425, f426, f427) =AVERAGE(g421, g422, g423, g424, g425, g426, g427) =AVERAGE(h421, h422, h423, h424, h425, h426, h427) =AVERAGE(i421, i422, i423, i424, i425, i426, i427) =AVERAGE(j421, j422, j423, j424, j425, j426, j427) =AVERAGE(k421, k422, k423, k424, k425, k426, k427) =AVERAGE(l421, l422, l423, l424, l425, l426, l427) =AVERAGE(m421, m422, m423, m424, m425, m426, m427) =AVERAGE(n421, n422, n423, n424, n425, n426, n427) =AVERAGE(o421, o422, o423, o424, o425, o426, o427) =AVERAGE(p421, p422, p423, p424, p425, p426, p427) =AVERAGE(q421, q422, q423, q424, q425, q426, q427) =AVERAGE(r421, r422, r423, r424, r425, r426, r427) =AVERAGE(s421, s422, s423, s424, s425, s426, s427) =AVERAGE(t421, t422, t423, t424, t425, t426, t427) =STDEV.P(a421, a422, a423, a424, a425, a426, a427) =STDEV.P(b421, b422, b423, b424, b425, b426, b427) =STDEV.P(c421, c422, c423, c424, c425, c426, c427) =STDEV.P(d421, d422, d423, d424, d425, d426, d427) =STDEV.P(e421, e422, e423, e424, e425, e426, e427) =STDEV.P(f421, f422, f423, f424, f425, f426, f427) =STDEV.P(g421, g422, g423, g424, g425, g426, g427) =STDEV.P(h421, h422, h423, h424, h425, h426, h427) =STDEV.P(i421, i422, i423, i424, i425, i426, i427) =STDEV.P(j421, j422, j423, j424, j425, j426, j427) =STDEV.P(k421, k422, k423, k424, k425, k426, k427) =STDEV.P(l421, l422, l423, l424, l425, l426, l427) =STDEV.P(m421, m422, m423, m424, m425, m426, m427) =STDEV.P(n421, n422, n423, n424, n425, n426, n427) =STDEV.P(o421, o422, o423, o424, o425, o426, o427) =STDEV.P(p421, p422, p423, p424, p425, p426, p427) =STDEV.P(q421, q422, q423, q424, q425, q426, q427) =STDEV.P(r421, r422, r423, r424, r425, r426, r427) =STDEV.P(s421, s422, s423, s424, s425, s426, s427) =STDEV.P(t421, t422, t423, t424, t425, t426, t427) +=AVERAGE(a428, a429, a430, a431, a432, a433, a434) =AVERAGE(b428, b429, b430, b431, b432, b433, b434) =AVERAGE(c428, c429, c430, c431, c432, c433, c434) =AVERAGE(d428, d429, d430, d431, d432, d433, d434) =AVERAGE(e428, e429, e430, e431, e432, e433, e434) =AVERAGE(f428, f429, f430, f431, f432, f433, f434) =AVERAGE(g428, g429, g430, g431, g432, g433, g434) =AVERAGE(h428, h429, h430, h431, h432, h433, h434) =AVERAGE(i428, i429, i430, i431, i432, i433, i434) =AVERAGE(j428, j429, j430, j431, j432, j433, j434) =AVERAGE(k428, k429, k430, k431, k432, k433, k434) =AVERAGE(l428, l429, l430, l431, l432, l433, l434) =AVERAGE(m428, m429, m430, m431, m432, m433, m434) =AVERAGE(n428, n429, n430, n431, n432, n433, n434) =AVERAGE(o428, o429, o430, o431, o432, o433, o434) =AVERAGE(p428, p429, p430, p431, p432, p433, p434) =AVERAGE(q428, q429, q430, q431, q432, q433, q434) =AVERAGE(r428, r429, r430, r431, r432, r433, r434) =AVERAGE(s428, s429, s430, s431, s432, s433, s434) =AVERAGE(t428, t429, t430, t431, t432, t433, t434) =STDEV.P(a428, a429, a430, a431, a432, a433, a434) =STDEV.P(b428, b429, b430, b431, b432, b433, b434) =STDEV.P(c428, c429, c430, c431, c432, c433, c434) =STDEV.P(d428, d429, d430, d431, d432, d433, d434) =STDEV.P(e428, e429, e430, e431, e432, e433, e434) =STDEV.P(f428, f429, f430, f431, f432, f433, f434) =STDEV.P(g428, g429, g430, g431, g432, g433, g434) =STDEV.P(h428, h429, h430, h431, h432, h433, h434) =STDEV.P(i428, i429, i430, i431, i432, i433, i434) =STDEV.P(j428, j429, j430, j431, j432, j433, j434) =STDEV.P(k428, k429, k430, k431, k432, k433, k434) =STDEV.P(l428, l429, l430, l431, l432, l433, l434) =STDEV.P(m428, m429, m430, m431, m432, m433, m434) =STDEV.P(n428, n429, n430, n431, n432, n433, n434) =STDEV.P(o428, o429, o430, o431, o432, o433, o434) =STDEV.P(p428, p429, p430, p431, p432, p433, p434) =STDEV.P(q428, q429, q430, q431, q432, q433, q434) =STDEV.P(r428, r429, r430, r431, r432, r433, r434) =STDEV.P(s428, s429, s430, s431, s432, s433, s434) =STDEV.P(t428, t429, t430, t431, t432, t433, t434) +=AVERAGE(a435, a436, a437, a438, a439, a440, a441) =AVERAGE(b435, b436, b437, b438, b439, b440, b441) =AVERAGE(c435, c436, c437, c438, c439, c440, c441) =AVERAGE(d435, d436, d437, d438, d439, d440, d441) =AVERAGE(e435, e436, e437, e438, e439, e440, e441) =AVERAGE(f435, f436, f437, f438, f439, f440, f441) =AVERAGE(g435, g436, g437, g438, g439, g440, g441) =AVERAGE(h435, h436, h437, h438, h439, h440, h441) =AVERAGE(i435, i436, i437, i438, i439, i440, i441) =AVERAGE(j435, j436, j437, j438, j439, j440, j441) =AVERAGE(k435, k436, k437, k438, k439, k440, k441) =AVERAGE(l435, l436, l437, l438, l439, l440, l441) =AVERAGE(m435, m436, m437, m438, m439, m440, m441) =AVERAGE(n435, n436, n437, n438, n439, n440, n441) =AVERAGE(o435, o436, o437, o438, o439, o440, o441) =AVERAGE(p435, p436, p437, p438, p439, p440, p441) =AVERAGE(q435, q436, q437, q438, q439, q440, q441) =AVERAGE(r435, r436, r437, r438, r439, r440, r441) =AVERAGE(s435, s436, s437, s438, s439, s440, s441) =AVERAGE(t435, t436, t437, t438, t439, t440, t441) =STDEV.P(a435, a436, a437, a438, a439, a440, a441) =STDEV.P(b435, b436, b437, b438, b439, b440, b441) =STDEV.P(c435, c436, c437, c438, c439, c440, c441) =STDEV.P(d435, d436, d437, d438, d439, d440, d441) =STDEV.P(e435, e436, e437, e438, e439, e440, e441) =STDEV.P(f435, f436, f437, f438, f439, f440, f441) =STDEV.P(g435, g436, g437, g438, g439, g440, g441) =STDEV.P(h435, h436, h437, h438, h439, h440, h441) =STDEV.P(i435, i436, i437, i438, i439, i440, i441) =STDEV.P(j435, j436, j437, j438, j439, j440, j441) =STDEV.P(k435, k436, k437, k438, k439, k440, k441) =STDEV.P(l435, l436, l437, l438, l439, l440, l441) =STDEV.P(m435, m436, m437, m438, m439, m440, m441) =STDEV.P(n435, n436, n437, n438, n439, n440, n441) =STDEV.P(o435, o436, o437, o438, o439, o440, o441) =STDEV.P(p435, p436, p437, p438, p439, p440, p441) =STDEV.P(q435, q436, q437, q438, q439, q440, q441) =STDEV.P(r435, r436, r437, r438, r439, r440, r441) =STDEV.P(s435, s436, s437, s438, s439, s440, s441) =STDEV.P(t435, t436, t437, t438, t439, t440, t441) +=AVERAGE(a442, a443, a444, a445, a446, a447, a448) =AVERAGE(b442, b443, b444, b445, b446, b447, b448) =AVERAGE(c442, c443, c444, c445, c446, c447, c448) =AVERAGE(d442, d443, d444, d445, d446, d447, d448) =AVERAGE(e442, e443, e444, e445, e446, e447, e448) =AVERAGE(f442, f443, f444, f445, f446, f447, f448) =AVERAGE(g442, g443, g444, g445, g446, g447, g448) =AVERAGE(h442, h443, h444, h445, h446, h447, h448) =AVERAGE(i442, i443, i444, i445, i446, i447, i448) =AVERAGE(j442, j443, j444, j445, j446, j447, j448) =AVERAGE(k442, k443, k444, k445, k446, k447, k448) =AVERAGE(l442, l443, l444, l445, l446, l447, l448) =AVERAGE(m442, m443, m444, m445, m446, m447, m448) =AVERAGE(n442, n443, n444, n445, n446, n447, n448) =AVERAGE(o442, o443, o444, o445, o446, o447, o448) =AVERAGE(p442, p443, p444, p445, p446, p447, p448) =AVERAGE(q442, q443, q444, q445, q446, q447, q448) =AVERAGE(r442, r443, r444, r445, r446, r447, r448) =AVERAGE(s442, s443, s444, s445, s446, s447, s448) =AVERAGE(t442, t443, t444, t445, t446, t447, t448) =STDEV.P(a442, a443, a444, a445, a446, a447, a448) =STDEV.P(b442, b443, b444, b445, b446, b447, b448) =STDEV.P(c442, c443, c444, c445, c446, c447, c448) =STDEV.P(d442, d443, d444, d445, d446, d447, d448) =STDEV.P(e442, e443, e444, e445, e446, e447, e448) =STDEV.P(f442, f443, f444, f445, f446, f447, f448) =STDEV.P(g442, g443, g444, g445, g446, g447, g448) =STDEV.P(h442, h443, h444, h445, h446, h447, h448) =STDEV.P(i442, i443, i444, i445, i446, i447, i448) =STDEV.P(j442, j443, j444, j445, j446, j447, j448) =STDEV.P(k442, k443, k444, k445, k446, k447, k448) =STDEV.P(l442, l443, l444, l445, l446, l447, l448) =STDEV.P(m442, m443, m444, m445, m446, m447, m448) =STDEV.P(n442, n443, n444, n445, n446, n447, n448) =STDEV.P(o442, o443, o444, o445, o446, o447, o448) =STDEV.P(p442, p443, p444, p445, p446, p447, p448) =STDEV.P(q442, q443, q444, q445, q446, q447, q448) =STDEV.P(r442, r443, r444, r445, r446, r447, r448) =STDEV.P(s442, s443, s444, s445, s446, s447, s448) =STDEV.P(t442, t443, t444, t445, t446, t447, t448) +=AVERAGE(a449, a450, a451, a452, a453, a454, a455) =AVERAGE(b449, b450, b451, b452, b453, b454, b455) =AVERAGE(c449, c450, c451, c452, c453, c454, c455) =AVERAGE(d449, d450, d451, d452, d453, d454, d455) =AVERAGE(e449, e450, e451, e452, e453, e454, e455) =AVERAGE(f449, f450, f451, f452, f453, f454, f455) =AVERAGE(g449, g450, g451, g452, g453, g454, g455) =AVERAGE(h449, h450, h451, h452, h453, h454, h455) =AVERAGE(i449, i450, i451, i452, i453, i454, i455) =AVERAGE(j449, j450, j451, j452, j453, j454, j455) =AVERAGE(k449, k450, k451, k452, k453, k454, k455) =AVERAGE(l449, l450, l451, l452, l453, l454, l455) =AVERAGE(m449, m450, m451, m452, m453, m454, m455) =AVERAGE(n449, n450, n451, n452, n453, n454, n455) =AVERAGE(o449, o450, o451, o452, o453, o454, o455) =AVERAGE(p449, p450, p451, p452, p453, p454, p455) =AVERAGE(q449, q450, q451, q452, q453, q454, q455) =AVERAGE(r449, r450, r451, r452, r453, r454, r455) =AVERAGE(s449, s450, s451, s452, s453, s454, s455) =AVERAGE(t449, t450, t451, t452, t453, t454, t455) =STDEV.P(a449, a450, a451, a452, a453, a454, a455) =STDEV.P(b449, b450, b451, b452, b453, b454, b455) =STDEV.P(c449, c450, c451, c452, c453, c454, c455) =STDEV.P(d449, d450, d451, d452, d453, d454, d455) =STDEV.P(e449, e450, e451, e452, e453, e454, e455) =STDEV.P(f449, f450, f451, f452, f453, f454, f455) =STDEV.P(g449, g450, g451, g452, g453, g454, g455) =STDEV.P(h449, h450, h451, h452, h453, h454, h455) =STDEV.P(i449, i450, i451, i452, i453, i454, i455) =STDEV.P(j449, j450, j451, j452, j453, j454, j455) =STDEV.P(k449, k450, k451, k452, k453, k454, k455) =STDEV.P(l449, l450, l451, l452, l453, l454, l455) =STDEV.P(m449, m450, m451, m452, m453, m454, m455) =STDEV.P(n449, n450, n451, n452, n453, n454, n455) =STDEV.P(o449, o450, o451, o452, o453, o454, o455) =STDEV.P(p449, p450, p451, p452, p453, p454, p455) =STDEV.P(q449, q450, q451, q452, q453, q454, q455) =STDEV.P(r449, r450, r451, r452, r453, r454, r455) =STDEV.P(s449, s450, s451, s452, s453, s454, s455) =STDEV.P(t449, t450, t451, t452, t453, t454, t455) +=AVERAGE(a456, a457, a458, a459, a460, a461, a462) =AVERAGE(b456, b457, b458, b459, b460, b461, b462) =AVERAGE(c456, c457, c458, c459, c460, c461, c462) =AVERAGE(d456, d457, d458, d459, d460, d461, d462) =AVERAGE(e456, e457, e458, e459, e460, e461, e462) =AVERAGE(f456, f457, f458, f459, f460, f461, f462) =AVERAGE(g456, g457, g458, g459, g460, g461, g462) =AVERAGE(h456, h457, h458, h459, h460, h461, h462) =AVERAGE(i456, i457, i458, i459, i460, i461, i462) =AVERAGE(j456, j457, j458, j459, j460, j461, j462) =AVERAGE(k456, k457, k458, k459, k460, k461, k462) =AVERAGE(l456, l457, l458, l459, l460, l461, l462) =AVERAGE(m456, m457, m458, m459, m460, m461, m462) =AVERAGE(n456, n457, n458, n459, n460, n461, n462) =AVERAGE(o456, o457, o458, o459, o460, o461, o462) =AVERAGE(p456, p457, p458, p459, p460, p461, p462) =AVERAGE(q456, q457, q458, q459, q460, q461, q462) =AVERAGE(r456, r457, r458, r459, r460, r461, r462) =AVERAGE(s456, s457, s458, s459, s460, s461, s462) =AVERAGE(t456, t457, t458, t459, t460, t461, t462) =STDEV.P(a456, a457, a458, a459, a460, a461, a462) =STDEV.P(b456, b457, b458, b459, b460, b461, b462) =STDEV.P(c456, c457, c458, c459, c460, c461, c462) =STDEV.P(d456, d457, d458, d459, d460, d461, d462) =STDEV.P(e456, e457, e458, e459, e460, e461, e462) =STDEV.P(f456, f457, f458, f459, f460, f461, f462) =STDEV.P(g456, g457, g458, g459, g460, g461, g462) =STDEV.P(h456, h457, h458, h459, h460, h461, h462) =STDEV.P(i456, i457, i458, i459, i460, i461, i462) =STDEV.P(j456, j457, j458, j459, j460, j461, j462) =STDEV.P(k456, k457, k458, k459, k460, k461, k462) =STDEV.P(l456, l457, l458, l459, l460, l461, l462) =STDEV.P(m456, m457, m458, m459, m460, m461, m462) =STDEV.P(n456, n457, n458, n459, n460, n461, n462) =STDEV.P(o456, o457, o458, o459, o460, o461, o462) =STDEV.P(p456, p457, p458, p459, p460, p461, p462) =STDEV.P(q456, q457, q458, q459, q460, q461, q462) =STDEV.P(r456, r457, r458, r459, r460, r461, r462) =STDEV.P(s456, s457, s458, s459, s460, s461, s462) =STDEV.P(t456, t457, t458, t459, t460, t461, t462) +=AVERAGE(a463, a464, a465, a466, a467, a468, a469) =AVERAGE(b463, b464, b465, b466, b467, b468, b469) =AVERAGE(c463, c464, c465, c466, c467, c468, c469) =AVERAGE(d463, d464, d465, d466, d467, d468, d469) =AVERAGE(e463, e464, e465, e466, e467, e468, e469) =AVERAGE(f463, f464, f465, f466, f467, f468, f469) =AVERAGE(g463, g464, g465, g466, g467, g468, g469) =AVERAGE(h463, h464, h465, h466, h467, h468, h469) =AVERAGE(i463, i464, i465, i466, i467, i468, i469) =AVERAGE(j463, j464, j465, j466, j467, j468, j469) =AVERAGE(k463, k464, k465, k466, k467, k468, k469) =AVERAGE(l463, l464, l465, l466, l467, l468, l469) =AVERAGE(m463, m464, m465, m466, m467, m468, m469) =AVERAGE(n463, n464, n465, n466, n467, n468, n469) =AVERAGE(o463, o464, o465, o466, o467, o468, o469) =AVERAGE(p463, p464, p465, p466, p467, p468, p469) =AVERAGE(q463, q464, q465, q466, q467, q468, q469) =AVERAGE(r463, r464, r465, r466, r467, r468, r469) =AVERAGE(s463, s464, s465, s466, s467, s468, s469) =AVERAGE(t463, t464, t465, t466, t467, t468, t469) =STDEV.P(a463, a464, a465, a466, a467, a468, a469) =STDEV.P(b463, b464, b465, b466, b467, b468, b469) =STDEV.P(c463, c464, c465, c466, c467, c468, c469) =STDEV.P(d463, d464, d465, d466, d467, d468, d469) =STDEV.P(e463, e464, e465, e466, e467, e468, e469) =STDEV.P(f463, f464, f465, f466, f467, f468, f469) =STDEV.P(g463, g464, g465, g466, g467, g468, g469) =STDEV.P(h463, h464, h465, h466, h467, h468, h469) =STDEV.P(i463, i464, i465, i466, i467, i468, i469) =STDEV.P(j463, j464, j465, j466, j467, j468, j469) =STDEV.P(k463, k464, k465, k466, k467, k468, k469) =STDEV.P(l463, l464, l465, l466, l467, l468, l469) =STDEV.P(m463, m464, m465, m466, m467, m468, m469) =STDEV.P(n463, n464, n465, n466, n467, n468, n469) =STDEV.P(o463, o464, o465, o466, o467, o468, o469) =STDEV.P(p463, p464, p465, p466, p467, p468, p469) =STDEV.P(q463, q464, q465, q466, q467, q468, q469) =STDEV.P(r463, r464, r465, r466, r467, r468, r469) =STDEV.P(s463, s464, s465, s466, s467, s468, s469) =STDEV.P(t463, t464, t465, t466, t467, t468, t469) +=AVERAGE(a470, a471, a472, a473, a474, a475, a476) =AVERAGE(b470, b471, b472, b473, b474, b475, b476) =AVERAGE(c470, c471, c472, c473, c474, c475, c476) =AVERAGE(d470, d471, d472, d473, d474, d475, d476) =AVERAGE(e470, e471, e472, e473, e474, e475, e476) =AVERAGE(f470, f471, f472, f473, f474, f475, f476) =AVERAGE(g470, g471, g472, g473, g474, g475, g476) =AVERAGE(h470, h471, h472, h473, h474, h475, h476) =AVERAGE(i470, i471, i472, i473, i474, i475, i476) =AVERAGE(j470, j471, j472, j473, j474, j475, j476) =AVERAGE(k470, k471, k472, k473, k474, k475, k476) =AVERAGE(l470, l471, l472, l473, l474, l475, l476) =AVERAGE(m470, m471, m472, m473, m474, m475, m476) =AVERAGE(n470, n471, n472, n473, n474, n475, n476) =AVERAGE(o470, o471, o472, o473, o474, o475, o476) =AVERAGE(p470, p471, p472, p473, p474, p475, p476) =AVERAGE(q470, q471, q472, q473, q474, q475, q476) =AVERAGE(r470, r471, r472, r473, r474, r475, r476) =AVERAGE(s470, s471, s472, s473, s474, s475, s476) =AVERAGE(t470, t471, t472, t473, t474, t475, t476) =STDEV.P(a470, a471, a472, a473, a474, a475, a476) =STDEV.P(b470, b471, b472, b473, b474, b475, b476) =STDEV.P(c470, c471, c472, c473, c474, c475, c476) =STDEV.P(d470, d471, d472, d473, d474, d475, d476) =STDEV.P(e470, e471, e472, e473, e474, e475, e476) =STDEV.P(f470, f471, f472, f473, f474, f475, f476) =STDEV.P(g470, g471, g472, g473, g474, g475, g476) =STDEV.P(h470, h471, h472, h473, h474, h475, h476) =STDEV.P(i470, i471, i472, i473, i474, i475, i476) =STDEV.P(j470, j471, j472, j473, j474, j475, j476) =STDEV.P(k470, k471, k472, k473, k474, k475, k476) =STDEV.P(l470, l471, l472, l473, l474, l475, l476) =STDEV.P(m470, m471, m472, m473, m474, m475, m476) =STDEV.P(n470, n471, n472, n473, n474, n475, n476) =STDEV.P(o470, o471, o472, o473, o474, o475, o476) =STDEV.P(p470, p471, p472, p473, p474, p475, p476) =STDEV.P(q470, q471, q472, q473, q474, q475, q476) =STDEV.P(r470, r471, r472, r473, r474, r475, r476) =STDEV.P(s470, s471, s472, s473, s474, s475, s476) =STDEV.P(t470, t471, t472, t473, t474, t475, t476) +=AVERAGE(a477, a478, a479, a480, a481, a482, a483) =AVERAGE(b477, b478, b479, b480, b481, b482, b483) =AVERAGE(c477, c478, c479, c480, c481, c482, c483) =AVERAGE(d477, d478, d479, d480, d481, d482, d483) =AVERAGE(e477, e478, e479, e480, e481, e482, e483) =AVERAGE(f477, f478, f479, f480, f481, f482, f483) =AVERAGE(g477, g478, g479, g480, g481, g482, g483) =AVERAGE(h477, h478, h479, h480, h481, h482, h483) =AVERAGE(i477, i478, i479, i480, i481, i482, i483) =AVERAGE(j477, j478, j479, j480, j481, j482, j483) =AVERAGE(k477, k478, k479, k480, k481, k482, k483) =AVERAGE(l477, l478, l479, l480, l481, l482, l483) =AVERAGE(m477, m478, m479, m480, m481, m482, m483) =AVERAGE(n477, n478, n479, n480, n481, n482, n483) =AVERAGE(o477, o478, o479, o480, o481, o482, o483) =AVERAGE(p477, p478, p479, p480, p481, p482, p483) =AVERAGE(q477, q478, q479, q480, q481, q482, q483) =AVERAGE(r477, r478, r479, r480, r481, r482, r483) =AVERAGE(s477, s478, s479, s480, s481, s482, s483) =AVERAGE(t477, t478, t479, t480, t481, t482, t483) =STDEV.P(a477, a478, a479, a480, a481, a482, a483) =STDEV.P(b477, b478, b479, b480, b481, b482, b483) =STDEV.P(c477, c478, c479, c480, c481, c482, c483) =STDEV.P(d477, d478, d479, d480, d481, d482, d483) =STDEV.P(e477, e478, e479, e480, e481, e482, e483) =STDEV.P(f477, f478, f479, f480, f481, f482, f483) =STDEV.P(g477, g478, g479, g480, g481, g482, g483) =STDEV.P(h477, h478, h479, h480, h481, h482, h483) =STDEV.P(i477, i478, i479, i480, i481, i482, i483) =STDEV.P(j477, j478, j479, j480, j481, j482, j483) =STDEV.P(k477, k478, k479, k480, k481, k482, k483) =STDEV.P(l477, l478, l479, l480, l481, l482, l483) =STDEV.P(m477, m478, m479, m480, m481, m482, m483) =STDEV.P(n477, n478, n479, n480, n481, n482, n483) =STDEV.P(o477, o478, o479, o480, o481, o482, o483) =STDEV.P(p477, p478, p479, p480, p481, p482, p483) =STDEV.P(q477, q478, q479, q480, q481, q482, q483) =STDEV.P(r477, r478, r479, r480, r481, r482, r483) =STDEV.P(s477, s478, s479, s480, s481, s482, s483) =STDEV.P(t477, t478, t479, t480, t481, t482, t483) + +0 0 0 0.0001 0 12.884 3.667 10 3 23 6 0 0.0001 0 12.884 3.667 10 3 23 6 +0 0 0 0.0001 0 12.83 3.65 6 2 29 6 0 0.0001 0 12.83 3.65 6 2 29 6 +0 0 0 0.0001 0 12.793 3.641 23 5 19 5 0 0.0001 0 12.793 3.641 23 5 19 5 +0 0 0 0.0001 0 12.946 3.632 7 3 37 6 0 0.0001 0 12.946 3.632 7 3 37 6 +0 0 0 0.0002 0 13.031 3.674 47 6 34 6 0 0.0002 0 13.031 3.674 47 6 34 6 +0 0 0 0.0002 0 13.263 3.693 7 2 27 5 0 0.0002 0 13.263 3.693 7 2 27 5 +0 0 0 0.0002 0 13.048 3.657 37 6 23 6 0 0.0002 0 13.048 3.657 37 6 23 6 +0 0 0 0.0001 0 13.076 3.671 14 4 6 5 0 0.0001 0 13.076 3.671 14 4 6 5 +0 0 0 0.0001 0 12.836 3.691 43 6 8 5 0 0.0001 0 12.836 3.691 43 6 8 5 +0 0 0 0.0001 0 13.33 3.703 16 4 17 6 0 0.0001 0 13.33 3.703 16 4 17 6 +1 0 0 0.0001 0 12.557 3.922 5 2 5 3 0 0.0001 0 12.72 3.794 5 2 23 6 +1 0 0 0.0001 0 11.998 3.802 15 3 22 5 0 0.0001 0 12.414 3.726 15 3 29 6 +1 0 0 0.0001 0 11.983 3.851 40 9 8 4 0 0.0001 0 12.388 3.746 23 5 19 5 +1 0 0 0.0001 0 12.316 3.841 7 5 8 4 0 0.0001 0 12.631 3.737 7 3 37 6 +1 0 0 0.0002 0 12.46 3.889 47 6 17 9 0 0.0002 0 12.746 3.782 47 6 17 9 +1 0 0 0.0001 0 12.761 3.894 23 5 5 3 0 0.0002 0 13.012 3.794 7 2 27 5 +1 0 0 0.0001 0 12.741 3.914 38 6 14 8 0 0.0002 0 12.894 3.785 37 6 23 6 +1 0 0 0.0001 0 12.218 3.836 12 4 6 4 0 0.0001 0 12.647 3.753 12 4 6 4 +1 0 0 0.0001 0 11.805 3.811 17 5 4 2 0 0.0001 0 12.32 3.751 43 6 8 5 +1 0 0 0.0001 0 12.834 3.908 20 4 10 6 0 0.0001 0 13.082 3.805 20 4 17 6 +2 0 0 0.0001 0 12.648 4.102 11 3 49 7 0 0.0001 0 12.696 3.897 11 3 23 6 +2 0 0 0.0002 0 12.003 3.953 53 7 31 8 0 0.0002 0 12.277 3.802 53 7 29 6 +2 0 0 0.0001 0 12.018 4.016 6 3 37 7 0 0.0001 0 12.264 3.836 23 5 19 5 +2 0 0 0.0001 0 12.276 3.985 10 3 33 8 0 0.0001 0 12.513 3.819 7 3 37 6 +2 0 0 0.0002 0 12.453 4.034 43 6 5 3 0 0.0002 0 12.648 3.866 43 6 17 9 +2 0 0 0.0001 0 12.733 4.093 18 4 13 5 0 0.0002 0 12.919 3.893 7 2 27 5 +2 0 0 0.0001 0 12.995 4.141 35 6 11 5 0 0.0002 0 12.928 3.904 37 6 23 6 +2 0 0 0.0001 0 12.196 3.998 21 6 15 5 0 0.0001 0 12.497 3.835 12 4 6 4 +2 0 0 0.0001 0 11.614 3.955 19 5 9 5 0 0.0001 0 12.085 3.819 43 6 8 5 +2 0 0 0.0001 0 12.691 4.082 20 6 4 3 0 0.0001 0 12.952 3.898 20 4 17 6 +3 0 0 0.0001 0 12.777 4.237 12 3 9 6 0 0.0001 0 12.716 3.982 12 3 23 6 +3 0 0 0.0002 0 12.138 4.064 43 10 7 3 0 0.0002 0 12.242 3.867 43 10 29 6 +3 0 0 0.0001 0 12.22 4.137 10 4 16 8 0 0.0001 0 12.253 3.911 23 5 19 5 +3 0 0 0.0001 0 12.127 4.095 9 5 8 5 0 0.0001 0 12.416 3.888 7 3 37 6 +3 0 0 0.0002 0 12.54 4.123 37 6 10 5 0 0.0002 0 12.621 3.93 37 6 17 9 +3 0 0 0.0001 0 12.723 4.209 18 4 13 4 0 0.0002 0 12.87 3.972 7 2 27 5 +3 0 0 0.0001 0 13.196 4.259 42 11 11 5 0 0.0002 0 12.995 3.993 37 6 23 6 +3 0 0 0.0001 0 11.824 4.054 19 6 14 6 0 0.0001 0 12.328 3.89 19 6 6 4 +3 0 0 0.0001 0 11.766 4.065 13 4 6 4 0 0.0001 0 12.005 3.881 13 4 8 5 +3 0 0 0.0002 0 12.667 4.231 7 3 29 8 0 0.0002 0 12.881 3.981 7 3 17 6 +4 0 0 0.0001 0 12.552 4.301 11 3 18 5 0 0.0001 0 12.683 4.046 11 3 23 6 +4 0 0 0.0002 0 12.503 4.228 52 9 16 5 0 0.0002 0 12.294 3.939 52 9 29 6 +4 0 0 0.0001 0 12.343 4.293 8 4 13 6 0 0.0001 0 12.271 3.987 23 5 19 5 +4 0 0 0.0001 0 12.163 4.167 17 5 5 4 0 0.0001 0 12.366 3.944 7 3 37 6 +4 0 0 0.0002 0 13.461 4.345 35 6 39 7 0 0.0002 0 12.789 4.013 35 6 17 9 +4 0 0 0.0002 0 12.614 4.285 30 6 13 6 0 0.0002 0 12.819 4.035 30 6 27 5 +4 0 0 0.0004 0 13.385 4.399 16 5 14 4 0 0.0004 0 13.073 4.074 16 5 23 6 +4 0 0 0.0001 0 11.747 4.135 13 4 10 5 0 0.0001 0 12.212 3.939 19 6 6 4 +4 0 0 0.0001 0 12.081 4.21 22 7 9 5 0 0.0001 0 12.02 3.947 13 4 8 5 +4 0 0 0.0005 0 12.552 4.301 9 3 42 11 0 0.0005 0 12.815 4.045 9 3 17 6 +5 0 0 0.0001 0 12.452 4.328 11 3 17 9 0 0.0001 0 12.645 4.093 11 3 23 6 +5 0 0 0.0008 0 13.064 4.372 36 7 10 5 0 0.0008 0 12.423 4.011 36 7 29 6 +5 0 0 0.0001 0 12.588 4.362 26 5 27 12 0 0.0001 0 12.324 4.05 26 5 27 12 +5 0 0 0.0001 0 12.064 4.222 17 5 14 6 0 0.0001 0 12.315 3.99 7 3 37 6 +5 0 0 0.0003 0 14.694 4.571 38 6 5 4 0 0.0003 0 13.107 4.106 38 6 17 9 +5 0 0 0.0002 0 12.663 4.371 29 6 7 6 0 0.0002 0 12.793 4.091 30 6 27 5 +5 0 0 0.0006 0 13.471 4.494 19 5 6 4 0 0.0006 0 13.139 4.144 19 5 23 6 +5 0 0 0.0001 0 11.754 4.166 63 8 41 8 0 0.0001 0 12.136 3.977 63 8 6 4 +5 0 0 0.0001 0 12.019 4.245 7 2 31 8 0 0.0001 0 12.02 3.996 7 2 8 5 +5 0 0 0.0005 0 12.604 4.379 9 3 5 3 0 0.0005 0 12.78 4.101 9 3 17 6 +6 0 0 0.0006 0 12.39 4.377 9 3 27 7 0 0.0006 0 12.608 4.133 9 3 23 6 +6 0 0 0.0018 0 14.192 4.556 43 12 27 7 0 0.0018 0 12.676 4.089 43 12 29 6 +6 0 0 0.0001 0 12.56 4.372 28 7 11 5 0 0.0001 0 12.358 4.096 28 7 27 12 +6 0 0 0.0001 0 12.024 4.239 25 7 8 5 0 0.0001 0 12.274 4.026 7 3 37 6 +6 0 0 0.0003 0 18.207 5.093 43 10 44 7 0 0.0003 0 13.835 4.247 43 10 17 9 +6 0 0 0.0001 0 12.784 4.496 30 7 10 6 0 0.0002 0 12.791 4.149 30 6 27 5 +6 0 0 0.0006 0 13.385 4.569 15 5 5 3 0 0.0006 0 13.174 4.205 15 5 23 6 +6 0 0 0.0001 0 12.27 4.313 61 8 6 4 0 0.0001 0 12.155 4.025 61 8 6 4 +6 0 0 0.0001 0 12.106 4.325 15 6 19 6 0 0.0001 0 12.032 4.043 7 2 8 5 +6 0 0 0.0005 0 12.404 4.411 16 5 6 4 0 0.0005 0 12.726 4.145 16 5 17 6 +7 0 0 0.0012 0 12.668 4.491 13 3 31 11 0 0.0012 0 12.616 4.178 13 3 23 6 +7 0 0.0001 0.0025 0 17.217 5.081 75 13 10 5 0 0.0025 0 13.243 4.213 75 13 29 6 +7 0 0 0.0001 0 13.039 4.533 31 8 32 9 0 0.0001 0 12.443 4.151 31 8 32 9 +7 0 0 0.0001 0 12.412 4.402 7 3 29 6 0 0.0001 0 12.291 4.073 7 3 37 6 +7 0 0.0001 0.0004 0 25.668 6.211 29 6 60 11 0 0.0004 0 15.314 4.492 29 6 17 9 +7 0 0 0.0001 0 13.012 4.603 30 7 8 5 0 0.0002 0 12.819 4.206 30 6 27 5 +7 0 0 0.0008 0 13.512 4.639 37 8 18 7 0 0.0008 0 13.217 4.259 37 8 23 6 +7 0 0 0.0001 0 12.359 4.359 66 11 9 5 0 0.0001 0 12.181 4.067 61 8 6 4 +7 0 0 0.0001 0 12.552 4.455 18 5 14 8 0 0.0001 0 12.097 4.095 18 5 8 5 +7 0 0 0.0005 0 12.648 4.554 13 4 9 4 0 0.0005 0 12.716 4.196 13 4 17 6 +8 0 0 0.0012 0 12.811 4.544 32 9 12 7 0 0.0012 0 12.638 4.219 32 9 23 6 +8 0 0.0002 0.0055 0 28.075 6.999 26 5 75 11 0.0001 0.0055 0 14.891 4.523 26 5 29 6 +8 0 0 0.0001 0 13.432 4.634 30 8 18 9 0 0.0001 0 12.553 4.204 31 8 32 9 +8 0 0 0.0002 0 12.745 4.529 24 8 17 7 0 0.0002 0 12.341 4.123 24 8 37 6 +8 0 0.0001 0.0005 0 35.144 7.493 72 15 23 8 0 0.0005 0 17.518 4.826 72 15 17 9 +8 0 0 0.0002 0 13.229 4.677 41 12 7 5 0 0.0002 0 12.865 4.258 41 12 27 5 +8 0 0 0.0013 0 14.354 4.816 13 4 24 8 0 0.0013 0 13.343 4.321 13 4 23 6 +8 0 0 0.0001 0 12.931 4.487 19 5 35 7 0 0.0001 0 12.264 4.113 19 5 6 4 +8 0 0 0.0001 0 12.592 4.54 19 6 41 15 0 0.0001 0 12.152 4.144 18 5 8 5 +8 0 0.0001 0.0006 0 13.647 4.85 14 4 35 10 0 0.0006 0 12.82 4.269 14 4 17 6 +9 0 0.0001 0.002 0 13.532 4.699 17 4 14 4 0 0.002 0 12.727 4.267 17 4 23 6 +9 0 0.0006 0.0065 0 38.586 8.943 32 7 87 14 0.0001 0.0065 0 17.261 4.965 32 7 29 6 +9 0 0 0.0003 0 14.314 4.842 29 6 31 7 0 0.0003 0 12.729 4.268 29 6 32 9 +9 0 0 0.0002 0 12.673 4.571 25 9 8 4 0 0.0002 0 12.375 4.168 25 9 37 6 +9 0 0.0001 0.0006 0 45.317 8.906 54 11 93 11 0.0001 0.0006 0 20.298 5.234 54 11 17 9 +9 0 0 0.0002 0 13.847 4.856 19 6 7 4 0 0.0002 0 12.963 4.318 19 6 27 5 +9 0 0.0001 0.0025 0 18.46 5.524 27 6 17 8 0 0.0025 0 13.855 4.441 27 6 23 6 +9 0 0 0.0002 0 13.93 4.678 9 5 37 9 0 0.0002 0 12.431 4.17 9 5 6 4 +9 0 0 0.0002 0 12.866 4.642 9 3 5 4 0 0.0002 0 12.224 4.194 9 3 8 5 +9 0 0.0002 0.0015 0 16.85 5.725 14 4 32 13 0.0001 0.0015 0 13.223 4.414 14 4 17 6 +10 0 0.0007 1 0 16.376 5.224 15 4 5 3 0.0001 1 0 13.059 4.354 15 4 23 6 +10 0 0.0008 0.011 0 42.829 9.718 31 6 58 11 0.0002 0.011 0 19.585 5.397 31 6 29 6 +10 0 0 0.0014 0 15.457 5.099 28 6 35 10 0 0.0014 0 12.977 4.344 28 6 32 9 +10 0 0 0.0001 0 12.602 4.606 19 5 4 2 0 0.0002 0 12.395 4.208 25 9 37 6 +10 0 0.0001 0.0005 0 52.556 9.898 75 12 62 9 0.0001 0.0006 0 23.23 5.658 54 11 17 9 +10 0 0 0.0003 0 14.634 5.029 22 6 18 6 0 0.0003 0 13.115 4.382 22 6 27 5 +10 0 0.0002 0.0034 0 27.03 7.017 27 6 25 7 0.0001 0.0034 0 15.052 4.676 27 6 23 6 +10 0 0 0.0002 0 15.815 5.003 49 15 49 13 0 0.0002 0 12.738 4.245 9 5 6 4 +10 0 0 0.0001 0 13.113 4.739 11 5 12 5 0 0.0002 0 12.305 4.244 9 3 8 5 +10 0 0.0002 0.0009 0 21.043 6.664 30 8 48 12 0.0001 0.0015 0 13.934 4.619 14 4 17 6 +11 0 0.001 0.0152 0 46.39 10.232 27 6 74 10 0.0002 0.0152 0 21.819 5.8 27 6 29 6 +11 0 0 0.0014 0 16.449 5.337 28 6 12 4 0 0.0014 0 13.266 4.426 28 6 12 4 +11 0 0 0.0001 0 13.06 4.774 18 5 14 6 0 0.0002 0 12.451 4.255 25 9 37 6 +11 0 0.0001 0.0006 0 58.057 10.617 57 12 22 9 0.0001 0.0006 0 26.132 6.071 57 12 17 9 +11 0 0 0.0004 0 15.698 5.278 40 12 27 11 0 0.0004 0 13.33 4.457 40 12 27 5 +11 0 0.0003 0.0054 0 33.444 8.198 21 6 60 12 0.0001 0.0054 0 16.585 4.969 21 6 23 6 +11 0 0 0.0002 0 18.931 5.45 49 15 40 9 0 0.0002 0 13.254 4.346 9 5 6 4 +11 0 0 0.0002 0 13.443 4.847 9 3 7 4 0 0.0002 0 12.4 4.294 9 3 8 5 +11 0 0.0003 0.0008 0 24.03 7.375 27 10 31 8 0.0001 0.0015 0 14.775 4.848 14 4 17 6 +12 0 0.0012 0.0113 0 50.159 10.773 36 10 51 12 0.0003 0.0152 0 23.999 6.182 27 6 29 6 +12 0 0.0001 0.0018 0 19.264 5.825 47 10 37 12 0 0.0018 0 13.728 4.534 47 10 12 4 +12 0 0 0.0001 0 13.381 4.881 10 3 12 6 0 0.0002 0 12.522 4.303 25 9 37 6 +12 0 0.0001 0.0006 0 62.618 11.2 47 10 59 11 0.0001 0.0006 0 28.939 6.466 47 10 17 9 +12 0 0.0001 0.0004 0 17.41 5.62 32 8 7 4 0 0.0004 0 13.644 4.547 32 8 27 5 +12 0 0.0004 0.0048 0 37.49 8.895 22 5 67 13 0.0001 0.0054 0 18.193 5.271 21 6 23 6 +12 0 0 0.0002 0 23.135 6.024 50 14 52 10 0 0.0002 0 14.014 4.475 9 5 6 4 +12 0 0 0.0001 0 14.207 5.024 25 8 9 5 0 0.0002 0 12.539 4.35 9 3 8 5 +12 0 0.0003 0.0016 0 26.533 7.909 22 5 50 14 0.0001 0.0016 0 15.68 5.084 22 5 17 6 +13 0 0.0015 0.0114 0 52.906 11.079 57 12 56 10 0.0004 0.0152 0 26.064 6.532 27 6 29 6 +13 0 0.0001 0.0026 0 25.59 7.085 38 12 34 9 0 0.0026 0 14.575 4.716 38 12 12 4 +13 0 0 0.0001 0 13.793 4.972 44 9 21 6 0 0.0002 0 12.613 4.351 25 9 37 6 +13 0 0.0001 0.0006 0 65.484 11.629 48 10 62 12 0.0001 0.0006 0 31.549 6.835 47 10 17 9 +13 0 0.0001 0.0004 0 19.779 6.101 18 4 34 11 0 0.0004 0 14.082 4.658 18 4 27 5 +13 0 0.0004 0.005 0 41.035 9.44 30 7 34 11 0.0001 0.0054 0 19.825 5.569 21 6 23 6 +13 0 0.0001 0.0002 0 27.724 6.621 43 8 24 9 0 0.0002 0 14.994 4.628 43 8 6 4 +13 0 0 0.0003 0 14.746 5.158 38 11 17 8 0 0.0003 0 12.696 4.408 38 11 8 5 +13 0 0.0003 0.0012 0 28.823 8.372 36 10 42 16 0.0001 0.0016 0 16.618 5.319 22 5 17 6 +14 0 0.0019 0.0118 0 56.82 11.464 71 15 94 16 0.0005 0.0152 0 28.114 6.861 27 6 29 6 +14 0 0.0003 0.003 0 31.295 8.256 34 9 25 10 0.0001 0.003 0 15.69 4.952 34 9 12 4 +14 0 0 0.0001 0 14.171 5.089 36 8 59 13 0 0.0002 0 12.717 4.4 25 9 37 6 +14 0 0.0001 0.0006 0 67.719 11.824 87 16 74 14 0.0001 0.0006 0 33.961 7.167 47 10 17 9 +14 0 0.0001 0.0004 0 23.018 6.731 25 6 36 11 0 0.0004 0 14.678 4.796 25 6 27 5 +14 0 0.0007 0.0055 0 45.891 10.179 33 7 62 12 0.0002 0.0055 0 21.562 5.876 33 7 23 6 +14 0 0.0001 0.0002 0 33.876 7.406 17 6 21 7 0 0.0002 0 16.252 4.813 17 6 6 4 +14 0 0 0.0008 0 15.362 5.295 14 4 22 8 0 0.0008 0 12.874 4.467 14 4 8 5 +14 0 0.0003 0.0014 0 31.221 8.851 23 5 65 12 0.0001 0.0016 0 17.592 5.554 22 5 17 6 +15 0 0.0023 0.0129 0 61.354 11.905 83 16 90 15 0.0006 0.0152 0 30.191 7.176 27 6 29 6 +15 0 0.0004 0.0036 0 34.247 8.992 27 9 47 12 0.0001 0.0036 0 16.849 5.205 27 9 12 4 +15 0 0 0.0001 0 14.279 5.138 48 14 45 11 0 0.0002 0 12.814 4.446 25 9 37 6 +15 0 0.0002 0.0008 0 68.785 11.936 94 11 119 14 0.0001 0.0008 0 36.137 7.465 94 11 17 9 +15 0 0.0001 0.0005 0 27.329 7.545 18 4 68 13 0 0.0005 0 15.468 4.968 18 4 27 5 +15 0 0.0013 0.0058 0 51.941 11.107 44 12 81 15 0.0002 0.0058 0 23.461 6.203 44 12 23 6 +15 0 0.0001 0.0002 0 39.783 8.217 16 6 28 8 0 0.0002 0 17.723 5.026 16 6 6 4 +15 0 0 0.0009 0 16.454 5.512 25 8 51 10 0 0.0009 0 13.098 4.532 25 8 8 5 +15 0 0.0003 0.0016 0 33.014 9.142 27 7 55 17 0.0001 0.0016 0 18.556 5.779 22 5 17 6 +16 0 0.0027 0.0152 0 65.395 12.219 36 9 75 13 0.0007 0.0152 0 32.262 7.473 27 6 29 6 +16 0 0.0004 0.0047 0 36.686 9.539 21 7 56 15 0.0001 0.0047 0 18.016 5.46 21 7 12 4 +16 0 0 0.0001 0 14.509 5.231 37 9 11 5 0 0.0002 0 12.914 4.492 25 9 37 6 +16 0 0.0002 0.0008 0 70.286 12.111 89 11 109 16 0.0001 0.0008 0 38.146 7.738 89 11 17 9 +16 0 0.0001 0.0005 0 32.395 8.478 34 7 5 3 0.0001 0.0005 0 16.464 5.174 34 7 27 5 +16 0 0.0018 0.0062 0 56.449 11.808 36 9 54 12 0.0003 0.0062 0 25.402 6.533 36 9 23 6 +16 0 0.0001 0.0002 0 45.159 8.833 10 5 26 8 0 0.0002 0 19.337 5.25 10 5 6 4 +16 0 0 0.0017 0 18.284 5.827 12 4 13 8 0 0.0017 0 13.403 4.608 12 4 8 5 +16 0 0.0003 0.0015 0 34.771 9.327 31 6 34 8 0.0002 0.0016 0 19.51 5.987 22 5 17 6 +17 0 0.0032 0.0146 0 69.613 12.459 83 15 104 15 0.0009 0.0152 0 34.337 7.75 27 6 29 6 +17 0 0.0005 0.013 0 38.524 9.948 39 11 78 13 0.0001 0.013 0 19.156 5.709 39 11 12 4 +17 0 0 0.0001 0 14.621 5.33 37 9 17 8 0 0.0002 0 13.009 4.539 25 9 37 6 +17 0 0.0002 0.0009 0 71.943 12.322 76 10 87 13 0.0001 0.0009 0 40.023 7.993 76 10 17 9 +17 0 0.0002 0.0005 0 36.749 9.188 38 10 45 8 0.0001 0.0005 0 17.591 5.397 38 10 27 5 +17 0 0.0021 0.0065 0 58.898 12.039 33 7 59 12 0.0004 0.0065 0 27.262 6.839 33 7 23 6 +17 0 0.0001 0.0003 0 50.544 9.486 45 13 77 11 0 0.0003 0 21.071 5.485 45 13 6 4 +17 0 0.0001 0.002 0 20.063 6.225 13 4 12 6 0 0.002 0 13.773 4.698 13 4 8 5 +17 0 0.0003 0.0016 0 36.486 9.539 23 5 48 17 0.0002 0.0016 0 20.453 6.185 22 5 17 6 +18 0 0.0036 0.017 0 72.658 12.667 59 10 117 16 0.001 0.017 0 36.354 8.009 59 10 29 6 +18 0 0.0006 0.0076 0 40.63 10.427 37 11 53 10 0.0002 0.013 0 20.286 5.957 39 11 12 4 +18 0 0 0.0001 0 15.043 5.44 30 8 18 5 0 0.0002 0 13.116 4.586 25 9 37 6 +18 0 0.0002 0.0009 0 73.107 12.459 91 12 45 8 0.0001 0.0009 0 41.765 8.228 91 12 17 9 +18 0 0.0002 0.0005 0 40.094 9.617 19 4 52 12 0.0001 0.0005 0 18.775 5.619 38 10 27 5 +18 0 0.0023 0.0072 0 60.701 12.195 49 11 59 11 0.0005 0.0072 0 29.022 7.121 49 11 23 6 +18 0 0.0001 0.0003 0 55.207 10.065 56 13 41 10 0 0.0003 0 22.867 5.726 56 13 6 4 +18 0 0.0001 0.0031 0 21.642 6.615 24 5 42 10 0 0.0031 0 14.187 4.799 24 5 8 5 +18 0 0.0003 0.0016 0 37.994 9.703 24 5 42 12 0.0002 0.0016 0 21.376 6.37 24 5 17 6 +19 0 0.0041 0.017 0 73.168 12.643 61 10 167 17 0.0012 0.017 0 38.195 8.24 59 10 29 6 +19 0 0.0008 0.0088 0 42.946 10.84 16 6 86 11 0.0002 0.013 0 21.419 6.201 39 11 12 4 +19 0 0 0.0001 0 15.611 5.599 8 3 18 9 0 0.0002 0 13.241 4.637 25 9 37 6 +19 0 0.0002 0.001 0 74.947 12.661 83 12 156 17 0.0001 0.001 0 43.424 8.45 83 12 17 9 +19 0 0.0002 0.0005 0 43.187 9.958 37 11 46 12 0.0001 0.0005 0 19.996 5.836 38 10 27 5 +19 0 0.0024 0.0061 0 61.804 12.291 39 12 99 16 0.0006 0.0072 0 30.662 7.379 49 11 23 6 +19 0 0.0001 0.0003 0 58.36 10.482 36 13 67 16 0 0.0003 0 24.642 5.964 56 13 6 4 +19 0 0.0003 0.0033 0 23.148 7.27 22 5 60 14 0.0001 0.0033 0 14.635 4.923 22 5 8 5 +19 0 0.0004 0.0016 0 39.969 9.982 46 12 32 8 0.0002 0.0016 0 22.306 6.55 46 12 17 6 +20 0 0.0045 0.0183 0 73.585 12.607 96 15 128 15 0.0013 0.0183 0 39.88 8.448 96 15 29 6 +20 0 0.0009 0.0062 0 44.912 11.234 43 12 29 13 0.0002 0.013 0 22.538 6.441 39 11 12 4 +20 0 0 0.0001 0 15.958 5.631 41 8 46 10 0 0.0002 0 13.37 4.684 25 9 37 6 +20 0 0.0002 0.001 0 77.041 12.8 96 15 138 16 0.0001 0.001 0 45.025 8.657 96 15 17 9 +20 0 0.0002 0.0005 0 46.377 10.352 52 11 47 9 0.0001 0.0005 0 21.252 6.051 38 10 27 5 +20 0 0.0024 0.0061 0 63.487 12.454 72 13 65 17 0.0007 0.0072 0 32.225 7.621 49 11 23 6 +20 0 0.0001 0.0003 0 60.403 10.769 41 13 88 12 0 0.0003 0 26.345 6.193 56 13 6 4 +20 0 0.0004 0.004 0 25.123 8.055 26 7 47 17 0.0001 0.004 0 15.134 5.072 26 7 8 5 +20 0 0.0004 0.0022 0 41.591 10.115 23 5 39 10 0.0002 0.0022 0 23.224 6.72 23 5 17 6 +21 0 0.0053 0.019 0 73.924 12.628 101 16 115 15 0.0015 0.019 0 41.428 8.638 101 16 29 6 +21 0 0.001 0.0096 0 47.194 11.713 28 7 34 12 0.0003 0.013 0 23.658 6.681 39 11 12 4 +21 0 0 0.0001 0 16.971 5.879 6 4 17 8 0 0.0002 0 13.534 4.739 25 9 37 6 +21 0 0.0003 0.0011 0 80.205 12.99 93 14 63 10 0.0001 0.0011 0 46.624 8.854 93 14 17 9 +21 0 0.0003 0.0005 0 48.748 10.555 45 9 68 12 0.0001 0.0005 0 22.502 6.256 38 10 27 5 +21 0 0.0025 0.0061 0 65.814 12.636 72 13 66 12 0.0008 0.0072 0 33.751 7.849 49 11 23 6 +21 0 0.0001 0.0003 0 61.65 10.966 55 13 8 6 0.0001 0.0003 0 27.95 6.41 56 13 6 4 +21 0 0.0006 0.0076 0 27.835 8.818 16 5 22 7 0.0001 0.0076 0 15.712 5.242 16 5 8 5 +21 0 0.0004 0.0023 0 43.814 10.363 29 6 79 16 0.0002 0.0023 0 24.16 6.886 29 6 17 6 +22 0 0.0057 0.0196 0 73.941 12.635 88 15 70 14 0.0017 0.0196 0 42.841 8.812 88 15 29 6 +22 0 0.0012 0.0706 0 48.636 11.894 43 14 34 12 0.0003 0.0706 0 24.744 6.907 43 14 12 4 +22 0 0 0.0001 0 17.641 6.018 42 10 7 5 0 0.0002 0 13.712 4.794 25 9 37 6 +22 0 0.0003 0.0011 0 83.863 13.222 91 14 56 15 0.0001 0.0011 0 48.243 9.044 91 14 17 9 +22 0 0.0003 0.0005 0 50.943 10.691 19 4 29 7 0.0001 0.0005 0 23.739 6.449 38 10 27 5 +22 0 0.0026 0.0071 0 67.699 12.766 95 17 136 15 0.0009 0.0072 0 35.227 8.063 49 11 23 6 +22 0 0.0001 0.0003 0 62.984 11.163 55 13 98 13 0.0001 0.0003 0 29.473 6.617 56 13 6 4 +22 0 0.0008 0.0091 0 30.415 9.494 26 8 15 5 0.0001 0.0091 0 16.351 5.427 26 8 8 5 +22 0 0.0005 0.0023 0 46.251 10.635 30 6 55 14 0.0002 0.0023 0 25.12 7.049 29 6 17 6 +23 0 0.0061 0.0182 0 74.804 12.706 100 16 122 13 0.0019 0.0196 0 44.173 8.974 88 15 29 6 +23 0 0.0019 0.0813 0 50.006 12.103 43 14 76 17 0.0004 0.0813 0 25.797 7.124 43 14 12 4 +23 0 0 0.0001 0 18.816 6.27 56 12 15 8 0 0.0002 0 13.925 4.856 25 9 37 6 +23 0 0.0003 0.0011 0 87.117 13.435 67 10 169 17 0.0001 0.0011 0 49.863 9.227 67 10 17 9 +23 0 0.0003 0.0005 0 53.955 10.933 36 9 39 9 0.0001 0.0005 0 24.998 6.636 36 9 27 5 +23 0 0.0026 0.0062 0 70.298 12.956 70 13 34 8 0.0009 0.0072 0 36.689 8.267 49 11 23 6 +23 0 0.0001 0.0003 0 64.267 11.333 52 13 99 17 0.0001 0.0003 0 30.923 6.813 56 13 6 4 +23 0 0.0009 0.0094 0 32.704 10.014 28 8 20 7 0.0002 0.0094 0 17.032 5.618 28 8 8 5 +23 0 0.0005 0.0024 0 48.94 10.924 45 9 42 8 0.0002 0.0024 0 26.113 7.21 45 9 17 6 +24 0 0.0066 0.0182 0 76.416 12.836 100 16 40 9 0.0021 0.0196 0 45.463 9.129 88 15 29 6 +24 0 0.01 0.0858 0 48.007 12.082 89 14 93 17 0.0007 0.0858 0 26.685 7.322 89 14 12 4 +24 0 0 0.0001 0 20.11 6.567 55 12 29 8 0 0.0002 0 14.172 4.924 25 9 37 6 +24 0 0.0003 0.0012 0 90.766 13.608 84 14 33 7 0.0001 0.0012 0 51.499 9.402 84 14 17 9 +24 0 0.0003 0.0005 0 56.55 11.153 36 9 51 8 0.0001 0.0005 0 26.26 6.816 36 9 27 5 +24 0 0.0027 0.0065 0 71.724 13.054 42 10 26 9 0.001 0.0072 0 38.09 8.458 49 11 23 6 +24 0 0.0001 0.0003 0 64.963 11.445 37 6 40 10 0.0001 0.0003 0 32.284 6.998 37 6 6 4 +24 0 0.001 0.0094 0 34.196 10.331 28 8 20 6 0.0002 0.0094 0 17.719 5.806 28 8 8 5 +24 0 0.0007 0.0024 0 51.53 11.169 45 9 82 17 0.0002 0.0024 0 27.129 7.369 45 9 17 6 +25 0 0.007 0.0173 0 78.682 12.955 116 16 71 16 0.0023 0.0196 0 46.74 9.276 88 15 29 6 +25 0 0.029 0.0916 0 42.405 11.988 52 14 55 17 0.0018 0.0916 0 27.29 7.502 52 14 12 4 +25 0 0 0.0001 0 21.376 6.862 9 3 20 8 0 0.0002 0 14.449 4.999 25 9 37 6 +25 0 0.0004 0.0013 0 95.918 13.873 76 11 95 14 0.0001 0.0013 0 53.207 9.574 76 11 17 9 +25 0 0.0003 0.0005 0 59.98 11.39 32 7 29 6 0.0001 0.0005 0 27.557 6.992 36 9 27 5 +25 0 0.0028 0.0065 0 73.536 13.157 67 17 66 13 0.0011 0.0072 0 39.453 8.639 49 11 23 6 +25 0 0.0001 0.0003 0 65.783 11.636 52 13 109 13 0.0001 0.0003 0 33.573 7.177 37 6 6 4 +25 0 0.0011 0.0094 0 36.114 10.644 28 8 17 7 0.0002 0.0094 0 18.426 5.993 28 8 8 5 +25 0 0.0008 0.0024 0 54.405 11.381 31 8 76 14 0.0003 0.0024 0 28.179 7.523 31 8 17 6 +26 0 0.0073 0.0201 0 81.131 13.14 123 16 35 8 0.0024 0.0201 0 48.014 9.419 123 16 29 6 +26 0 0.0328 0.1458 0 41.245 11.823 46 14 42 9 0.003 0.1458 0 27.807 7.662 46 14 12 4 +26 0 0 0.0002 0 23.356 7.227 29 6 36 12 0 0.0002 0 14.779 5.081 25 9 37 6 +26 0 0.0004 0.0013 0 98.53 13.96 124 13 54 11 0.0002 0.0013 0 54.886 9.736 124 13 17 9 +26 0 0.0003 0.0005 0 63.521 11.684 32 7 29 7 0.0001 0.0005 0 28.889 7.166 36 9 27 5 +26 0 0.0028 0.0077 0 76.034 13.393 29 7 120 17 0.0011 0.0077 0 40.808 8.815 29 7 23 6 +26 0 0.0001 0.0003 0 65.699 11.709 38 13 76 13 0.0001 0.0003 0 34.763 7.345 37 6 6 4 +26 0 0.0011 0.0101 0 37.353 10.854 51 16 19 7 0.0003 0.0101 0 19.127 6.173 51 16 8 5 +26 0 0.0009 0.0025 0 57.54 11.677 28 5 31 7 0.0003 0.0025 0 29.266 7.677 28 5 17 6 +27 0 0.0077 0.0201 0 83.996 13.333 123 16 87 15 0.0026 0.0201 0 49.299 9.559 123 16 29 6 +27 0 0.0335 0.1457 0 42.019 11.844 49 16 48 11 0.0041 0.1458 0 28.314 7.811 46 14 12 4 +27 0 0 0.0002 0 24.993 7.495 32 8 84 16 0 0.0002 0 15.144 5.167 32 8 37 6 +27 0 0.0004 0.0012 0 101.442 14.013 106 13 84 15 0.0002 0.0013 0 56.549 9.889 124 13 17 9 +27 0 0.0003 0.0005 0 66.382 11.763 37 10 73 14 0.0001 0.0005 0 30.228 7.33 37 10 27 5 +27 0 0.0029 0.0077 0 77.968 13.505 28 7 76 11 0.0012 0.0077 0 42.135 8.982 28 7 23 6 +27 0 0.0001 0.0003 0 65.528 11.748 39 14 78 12 0.0001 0.0003 0 35.861 7.502 37 6 6 4 +27 0 0.0012 0.0127 0 38.795 11.103 41 11 30 13 0.0003 0.0127 0 19.83 6.349 41 11 8 5 +27 0 0.0009 0.0028 0 60.405 11.975 22 5 79 14 0.0003 0.0028 0 30.378 7.83 22 5 17 6 +28 0 0.008 0.0201 0 86.401 13.452 137 16 148 16 0.0028 0.0201 0 50.579 9.693 123 16 29 6 +28 0 0.0341 0.2718 0 43.211 12.037 79 16 65 16 0.0051 0.2718 0 28.828 7.957 79 16 12 4 +28 0 0 0.0002 0 26.723 7.821 32 8 39 11 0 0.0002 0 15.543 5.259 32 8 37 6 +28 0 0.0004 0.0013 0 105.748 14.224 91 15 76 8 0.0002 0.0013 0 58.245 10.039 124 13 17 9 +28 0 0.0003 0.0005 0 68.186 11.802 47 8 97 12 0.0001 0.0005 0 31.537 7.484 37 10 27 5 +28 0 0.003 0.0079 0 79.796 13.662 43 10 76 16 0.0013 0.0079 0 43.434 9.144 43 10 23 6 +28 0 0.0001 0.0003 0 65.282 11.799 39 14 112 13 0.0001 0.0003 0 36.876 7.65 37 6 6 4 +28 0 0.0016 1 0 40.2 11.239 19 5 30 8 0.0003 1 0 20.532 6.517 19 5 8 5 +28 0 0.001 0.0029 0 62.524 12.184 26 8 85 12 0.0003 0.0029 0 31.487 7.98 26 8 17 6 +29 0 0.0081 0.0201 0 89.376 13.654 129 16 68 13 0.003 0.0201 0 51.872 9.825 123 16 29 6 +29 0 0.0369 0.2756 0 45.152 12.318 80 16 27 7 0.0062 0.2756 0 29.372 8.102 80 16 12 4 +29 0 0 0.0002 0 28.36 8.184 69 14 67 14 0 0.0002 0 15.971 5.356 32 8 37 6 +29 0 0.0004 0.0015 0 107.754 14.23 149 17 119 15 0.0002 0.0015 0 59.895 10.178 149 17 17 9 +29 0 0.0003 0.0005 0 72.029 12.034 89 17 48 7 0.0001 0.0005 0 32.886 7.636 37 10 27 5 +29 0 0.0031 0.0074 0 81.755 13.769 34 11 136 17 0.0013 0.0079 0 44.711 9.298 43 10 23 6 +29 0 0.0001 0.0003 0 65.908 11.9 142 17 87 12 0.0001 0.0003 0 37.844 7.792 142 17 6 4 +29 0 0.001 0.0026 0 64.275 12.347 102 16 51 13 0.0004 0.0029 0 32.58 8.126 26 8 17 6 +30 0 0.0082 0.0201 0 92.058 13.843 138 17 124 16 0.0032 0.0201 0 53.168 9.955 123 16 29 6 +30 0 0.0396 0.2852 0 47.063 12.572 43 10 81 17 0.0072 0.2852 0 29.943 8.246 43 10 12 4 +30 0 0 0.0002 0 30.039 8.451 46 11 71 14 0 0.0002 0 16.424 5.456 32 8 37 6 +30 0 0.0004 0.0016 0 110.963 14.32 148 16 141 16 0.0002 0.0016 0 61.543 10.312 148 16 17 9 +30 0 0.0003 0.0005 0 74.847 12.202 90 17 8 4 0.0001 0.0005 0 34.24 7.783 37 10 27 5 +30 0 0.0031 0.0086 0 84.626 13.918 61 10 77 15 0.0014 0.0086 0 45.999 9.447 61 10 23 6 +30 0 0.0001 0.0003 0 67.073 12.085 39 14 79 13 0.0001 0.0003 0 38.786 7.93 142 17 6 4 +30 0 0.001 0.0026 0 65.49 12.411 105 16 58 10 0.0004 0.0029 0 33.641 8.264 26 8 17 6 +31 0 0.0085 0.0201 0 94.78 14.021 159 17 136 17 0.0033 0.0201 0 54.468 10.082 123 16 29 6 +31 0 0.0475 0.5455 0 49.578 12.816 70 13 67 17 0.0085 0.5455 0 30.556 8.389 70 13 12 4 +31 0 0 0.0002 0 31.847 8.772 28 6 43 10 0 0.0002 0 16.906 5.56 32 8 37 6 +31 0 0.0004 0.0015 0 115.863 14.516 149 17 151 16 0.0002 0.0016 0 63.24 10.443 148 16 17 9 +31 0 0.0003 0.0005 0 77.741 12.345 55 10 85 13 0.0002 0.0005 0 35.599 7.926 37 10 27 5 +31 0 0.0032 0.0078 0 86.624 13.976 65 11 72 17 0.0014 0.0086 0 47.268 9.588 61 10 23 6 +31 0 0.0001 0.0003 0 69.743 12.378 37 14 116 14 0.0001 0.0003 0 39.754 8.069 142 17 6 4 +31 0 0.0011 0.0027 0 67.101 12.563 104 16 74 15 0.0004 0.0029 0 34.687 8.398 26 8 17 6 +32 0 0.0087 0.0202 0 96.317 14.061 109 16 99 15 0.0035 0.0202 0 55.737 10.202 109 16 29 6 +32 0 0.0643 0.6069 0 53.262 13.181 72 13 22 7 0.0102 0.6069 0 31.244 8.534 72 13 12 4 +32 0 0 0.0002 0 33.732 9.049 35 6 22 9 0 0.0002 0 17.416 5.666 32 8 37 6 +32 0 0.0005 0.0017 0 119.009 14.597 150 17 86 14 0.0002 0.0017 0 64.93 10.569 150 17 17 9 +32 0 0.0003 0.0005 0 80.101 12.406 86 9 89 14 0.0002 0.0005 0 36.948 8.062 37 10 27 5 +32 0 0.0032 0.0072 0 88.283 14.185 64 12 69 16 0.0015 0.0086 0 48.511 9.728 61 10 23 6 +32 0 0.0001 0.0003 0 72.065 12.568 63 13 60 12 0.0001 0.0003 0 40.733 8.206 63 13 6 4 +32 0 0.0011 0.0028 0 69.334 12.751 113 16 28 8 0.0004 0.0029 0 35.737 8.53 26 8 17 6 +33 0 0.0089 0.0202 0 98.321 14.138 109 16 138 16 0.0036 0.0202 0 56.989 10.318 109 16 29 6 +33 0 0.0001 0.0002 0 36.234 9.365 31 10 47 12 0 0.0002 0 17.97 5.774 32 8 37 6 +33 0 0.0005 0.0017 0 122.479 14.686 92 12 135 17 0.0002 0.0017 0 66.623 10.69 92 12 17 9 +33 0 0.0003 0.0005 0 84.052 12.608 60 14 69 14 0.0002 0.0005 0 38.333 8.195 37 10 27 5 +33 0 0.0033 0.0075 0 89.491 14.181 71 11 12 4 0.0015 0.0086 0 49.717 9.859 61 10 23 6 +33 0 0.0001 0.0003 0 74.392 12.89 63 13 63 13 0.0001 0.0003 0 41.723 8.343 63 13 6 4 +33 0 0.0011 0.0028 0 70.54 12.777 54 10 71 10 0.0004 0.0029 0 36.76 8.655 26 8 17 6 +34 0 0.009 0.0202 0 100.611 14.27 106 16 166 15 0.0038 0.0202 0 58.235 10.431 109 16 29 6 +34 0 0.0001 0.0002 0 38.52 9.671 87 14 11 4 0 0.0002 0 18.557 5.886 32 8 37 6 +34 0 0.0005 0.0015 0 125.656 14.818 160 17 173 17 0.0002 0.0017 0 68.309 10.808 92 12 17 9 +34 0 0.0003 0.0005 0 86.034 12.714 95 14 124 16 0.0002 0.0005 0 39.696 8.324 37 10 27 5 +34 0 0.0033 0.0076 0 90.27 14.151 73 11 17 8 0.0016 0.0086 0 50.875 9.981 61 10 23 6 +34 0 0.0002 0.0003 0 77.753 13.188 64 13 92 13 0.0001 0.0003 0 42.752 8.482 63 13 6 4 +34 0 0.0011 0.0028 0 72.097 12.874 54 10 135 16 0.0005 0.0029 0 37.77 8.776 26 8 17 6 +35 0 0.0092 0.0202 0 101.731 14.331 108 16 194 16 0.004 0.0202 0 59.444 10.539 109 16 29 6 +35 0 0.0001 0.0002 0 42.157 10.115 37 9 70 16 0 0.0002 0 19.212 6.003 37 9 37 6 +35 0 0.0005 0.0015 0 129.636 14.944 158 17 124 17 0.0002 0.0017 0 70.013 10.923 92 12 17 9 +35 0 0.0003 0.0005 0 88.586 12.821 69 14 41 7 0.0002 0.0005 0 41.054 8.449 37 10 27 5 +35 0 0.0034 0.0076 0 91.965 14.303 84 15 97 15 0.0016 0.0086 0 52.017 10.101 61 10 23 6 +35 0 0.0002 0.0003 0 80.338 13.375 64 13 46 16 0.0001 0.0003 0 43.796 8.618 63 13 6 4 +35 0 0.0011 0.0028 0 72.25 12.865 27 5 51 12 0.0005 0.0029 0 38.728 8.889 26 8 17 6 +36 0 0.0092 0.0202 0 102.559 14.429 108 16 104 16 0.0041 0.0202 0 60.609 10.644 109 16 29 6 +36 0 0.0001 0.0002 0 46.076 10.597 47 10 41 11 0 0.0002 0 19.938 6.127 47 10 37 6 +36 0 0.0006 0.0015 0 132.743 15.093 157 17 164 17 0.0002 0.0017 0 71.708 11.036 92 12 17 9 +36 0 0.0003 0.0005 0 91.293 12.954 74 16 155 16 0.0002 0.0005 0 42.412 8.571 74 16 27 5 +36 0 0.0035 0.008 0 92.835 14.317 115 16 136 16 0.0017 0.0086 0 53.12 10.215 61 10 23 6 +36 0 0.0002 0.0003 0 84.226 13.67 87 15 165 17 0.0001 0.0003 0 44.889 8.754 63 13 6 4 +36 0 0.0012 0.0032 0 73.351 12.94 108 17 48 8 0.0005 0.0032 0 39.663 8.999 108 17 17 6 +37 0 0.0093 0.0199 0 103.314 14.378 90 16 79 15 0.0042 0.0202 0 61.733 10.743 109 16 29 6 +37 0 0.0001 0.0003 0 49.736 11.009 56 12 53 13 0 0.0003 0 20.723 6.256 56 12 37 6 +37 0 0.0006 0.0016 0 134.242 15.101 100 13 129 17 0.0002 0.0017 0 73.354 11.143 92 12 17 9 +37 0 0.0003 0.0005 0 93.639 13.076 76 16 88 16 0.0002 0.0005 0 43.76 8.69 74 16 27 5 +37 0 0.0035 0.0078 0 93.15 14.345 116 16 108 17 0.0017 0.0086 0 54.173 10.324 61 10 23 6 +37 0 0.0002 0.0003 0 87.446 13.802 71 15 42 12 0.0001 0.0003 0 46.009 8.887 63 13 6 4 +37 0 0.0013 0.0029 0 74.706 12.943 109 17 79 11 0.0005 0.0032 0 40.586 9.103 108 17 17 6 +38 0 0.0096 0.0174 0 105.436 14.506 97 13 81 16 0.0044 0.0202 0 62.853 10.839 109 16 29 6 +38 0 0.0001 0.0003 0 53.08 11.284 50 12 98 14 0 0.0003 0 21.552 6.385 56 12 37 6 +38 0 0.0006 0.0015 0 136.367 15.127 109 13 144 16 0.0003 0.0017 0 74.97 11.245 92 12 17 9 +38 0 0.0003 0.0005 0 95.217 13.059 111 16 132 17 0.0002 0.0005 0 45.08 8.802 74 16 27 5 +38 0 0.0035 0.0081 0 93.553 14.317 126 16 97 15 0.0018 0.0086 0 55.183 10.426 61 10 23 6 +38 0 0.0002 0.0003 0 92.175 14.075 112 16 127 17 0.0001 0.0003 0 47.193 9.02 112 16 6 4 +38 0 0.0013 0.0033 0 75.048 12.916 118 17 92 16 0.0005 0.0033 0 41.469 9.2 118 17 17 6 +39 0 0.0097 0.0221 0 107.198 14.527 83 17 96 17 0.0045 0.0221 0 63.962 10.931 83 17 29 6 +39 0 0.0001 0.0003 0 54.641 11.355 57 13 82 16 0 0.0003 0 22.38 6.509 56 12 37 6 +39 0 0.0006 0.0015 0 137.999 15.113 104 12 168 14 0.0003 0.0017 0 76.545 11.342 92 12 17 9 +39 0 0.0003 0.0005 0 97.999 13.236 69 11 95 13 0.0002 0.0005 0 46.403 8.913 74 16 27 5 +39 0 0.0036 0.0081 0 95.565 14.477 128 16 90 16 0.0018 0.0086 0 56.193 10.528 61 10 23 6 +39 0 0.0002 0.0003 0 95.763 14.199 91 16 94 14 0.0001 0.0003 0 48.407 9.15 91 16 6 4 +39 0 0.0013 0.0031 0 76.649 13.002 41 7 56 11 0.0006 0.0033 0 42.349 9.296 118 17 17 6 +40 0 0.0098 0.0221 0 109.305 14.62 90 17 125 17 0.0046 0.0221 0 65.068 11.021 83 17 29 6 +40 0 0.0001 0.0004 0 56.734 11.461 90 16 16 6 0 0.0004 0 23.217 6.63 90 16 37 6 +40 0 0.0006 0.0015 0 140.34 15.15 142 15 150 15 0.0003 0.0017 0 78.101 11.435 92 12 17 9 +40 0 0.0003 0.0005 0 100.375 13.371 40 7 81 15 0.0002 0.0005 0 47.719 9.021 40 7 27 5 +40 0 0.0036 0.0093 0 95.043 14.354 139 16 124 16 0.0019 0.0093 0 57.14 10.621 139 16 23 6 +40 0 0.0002 0.0003 0 99.241 14.335 116 16 96 14 0.0001 0.0003 0 49.647 9.276 116 16 6 4 +40 0 0.0014 0.0032 0 78.492 13.107 112 17 95 13 0.0006 0.0033 0 43.23 9.388 118 17 17 6 +41 0 0.0098 0.0183 0 111.581 14.734 163 16 134 16 0.0048 0.0221 0 66.175 11.11 83 17 29 6 +41 0 0.0001 0.0004 0 59.675 11.726 88 16 112 17 0 0.0004 0 24.085 6.751 90 16 37 6 +41 0 0.0006 0.0018 0 142.575 15.201 145 15 114 15 0.0003 0.0018 0 79.636 11.524 145 15 17 9 +41 0 0.0003 0.0005 0 103.959 13.473 69 11 66 10 0.0002 0.0005 0 49.058 9.127 40 7 27 5 +41 0 0.0036 0.008 0 97.268 14.454 47 9 112 16 0.0019 0.0093 0 58.096 10.712 139 16 23 6 +41 0 0.0002 0.0003 0 102.151 14.41 86 14 100 14 0.0001 0.0003 0 50.897 9.398 116 16 6 4 +41 0 0.0014 0.0032 0 80.436 13.155 112 17 80 13 0.0006 0.0033 0 44.116 9.478 118 17 17 6 +42 0 0.0098 0.0174 0 112.471 14.69 101 14 180 16 0.0049 0.0221 0 67.252 11.193 83 17 29 6 +42 0 0.0001 0.0004 0 62.32 12.05 86 16 34 12 0 0.0004 0 24.975 6.874 86 16 37 6 +42 0 0.0006 0.0018 0 144.961 15.276 136 15 129 14 0.0003 0.0018 0 81.156 11.611 145 15 17 9 +42 0 0.0003 0.0005 0 106.15 13.551 63 11 110 12 0.0002 0.0005 0 50.386 9.23 40 7 27 5 +42 0 0.0037 0.008 0 98.495 14.553 115 16 85 16 0.002 0.0093 0 59.035 10.802 139 16 23 6 +42 0 0.0002 0.0003 0 105.258 14.466 75 14 112 16 0.0001 0.0003 0 52.161 9.516 116 16 6 4 +42 0 0.0014 0.0032 0 82.216 13.29 86 17 72 17 0.0006 0.0033 0 45.002 9.567 118 17 17 6 +43 0 0.0098 0.017 0 113.67 14.754 103 15 87 13 0.005 0.0221 0 68.307 11.274 83 17 29 6 +43 0 0.0001 0.0004 0 64.394 12.161 44 11 60 12 0 0.0004 0 25.871 6.995 44 11 37 6 +43 0 0.0007 0.0017 0 146.635 15.302 136 15 127 16 0.0003 0.0018 0 82.644 11.695 145 15 17 9 +43 0 0.0003 0.0005 0 109.266 13.725 97 16 144 16 0.0002 0.0005 0 51.724 9.332 40 7 27 5 +43 0 0.0038 0.0087 0 99.097 14.567 50 9 93 16 0.002 0.0093 0 59.946 10.887 139 16 23 6 +43 0 0.0002 0.0003 0 107.169 14.536 127 14 125 14 0.0001 0.0003 0 53.411 9.63 116 16 6 4 +43 0 0.0015 0.003 0 82.769 13.29 35 7 74 11 0.0006 0.0033 0 45.861 9.651 118 17 17 6 +44 0 0.01 0.0182 0 115.794 14.8 124 16 81 17 0.0051 0.0221 0 69.362 11.352 83 17 29 6 +44 0 0.0001 0.0004 0 66.645 12.305 26 7 53 15 0 0.0004 0 26.777 7.113 26 7 37 6 +44 0 0.0007 0.0017 0 148.561 15.356 136 15 136 16 0.0003 0.0018 0 84.109 11.777 145 15 17 9 +44 0 0.0003 0.0005 0 109.588 13.674 97 16 23 8 0.0002 0.0005 0 53.01 9.429 97 16 27 5 +44 0 0.0038 0.0084 0 99.151 14.556 67 12 189 17 0.002 0.0093 0 60.817 10.969 139 16 23 6 +44 0 0.0002 0.0003 0 109.631 14.606 83 13 53 13 0.0001 0.0003 0 54.661 9.741 116 16 6 4 +44 0 0.0015 0.0031 0 84.04 13.365 83 11 120 17 0.0007 0.0033 0 46.709 9.734 118 17 17 6 +45 0 0.0101 0.0219 0 117.346 14.909 173 17 16 6 0.0052 0.0221 0 70.405 11.43 83 17 29 6 +45 0 0.0001 0.0005 0 69.179 12.511 22 7 156 16 0.0001 0.0005 0 27.698 7.23 22 7 37 6 +45 0 0.0007 0.0018 0 150.301 15.413 122 15 159 17 0.0003 0.0018 0 85.548 11.856 145 15 17 9 +45 0 0.0003 0.0005 0 111.307 13.766 98 16 98 10 0.0002 0.0005 0 54.277 9.523 97 16 27 5 +45 0 0.0038 0.0084 0 100.467 14.566 67 12 94 13 0.0021 0.0093 0 61.679 11.047 139 16 23 6 +45 0 0.0002 0.0003 0 110.749 14.651 133 16 148 17 0.0001 0.0003 0 55.88 9.848 116 16 6 4 +45 0 0.0015 0.003 0 84.359 13.397 65 13 54 10 0.0007 0.0033 0 47.528 9.814 118 17 17 6 +46 0 0.0101 0.0219 0 117.378 14.859 177 17 111 16 0.0053 0.0221 0 71.405 11.503 83 17 29 6 +46 0 0.0001 0.0008 0 70.669 12.573 35 10 74 14 0.0001 0.0008 0 28.613 7.344 35 10 37 6 +46 0 0.0007 0.0018 0 152.311 15.424 137 15 118 15 0.0003 0.0018 0 86.968 11.932 145 15 17 9 +46 0 0.0003 0.0005 0 112.175 13.709 89 12 128 16 0.0002 0.0005 0 55.509 9.612 97 16 27 5 +46 0 0.0039 0.0096 0 102.288 14.696 77 13 123 14 0.0021 0.0096 0 62.543 11.125 77 13 23 6 +46 0 0.0002 0.0003 0 112.703 14.66 127 16 161 17 0.0001 0.0003 0 57.089 9.95 116 16 6 4 +46 0 0.0015 0.0031 0 85.479 13.45 40 7 81 15 0.0007 0.0033 0 48.335 9.891 118 17 17 6 +47 0 0.0101 0.0219 0 118.018 14.891 174 17 168 16 0.0054 0.0221 0 72.376 11.573 83 17 29 6 +47 0 0.0001 0.0009 0 72.989 12.752 34 10 36 8 0.0001 0.0009 0 29.537 7.456 34 10 37 6 +47 0 0.0007 0.0018 0 154.809 15.468 122 15 145 15 0.0003 0.0018 0 88.381 12.005 145 15 17 9 +47 0 0.0003 0.0005 0 114.255 13.786 100 16 143 15 0.0002 0.0005 0 56.733 9.699 97 16 27 5 +47 0 0.0039 0.0096 0 102.353 14.605 101 17 82 12 0.0022 0.0096 0 63.372 11.197 77 13 23 6 +47 0 0.0002 0.0003 0 113.875 14.687 127 16 107 14 0.0001 0.0003 0 58.272 10.049 116 16 6 4 +47 0 0.0015 0.003 0 86.485 13.532 88 16 43 10 0.0007 0.0033 0 49.13 9.967 118 17 17 6 +48 0 0.0102 0.0219 0 117.649 14.828 179 17 82 12 0.0055 0.0221 0 73.3 11.64 83 17 29 6 +48 0 0.0002 0.0032 0 74.328 12.936 18 6 90 17 0.0001 0.0032 0 30.451 7.568 18 6 37 6 +48 0 0.0007 0.0018 0 157.069 15.564 115 15 135 13 0.0003 0.0018 0 89.783 12.078 145 15 17 9 +48 0 0.0003 0.0005 0 115.659 13.814 117 13 89 13 0.0002 0.0005 0 57.935 9.783 97 16 27 5 +48 0 0.0039 0.0091 0 104.269 14.754 98 17 67 14 0.0022 0.0096 0 64.207 11.27 77 13 23 6 +48 0 0.0002 0.0003 0 115.35 14.686 132 16 91 16 0.0001 0.0003 0 59.437 10.143 116 16 6 4 +48 0 0.0015 0.0031 0 87.061 13.494 95 16 62 17 0.0007 0.0033 0 49.904 10.039 118 17 17 6 +49 0 0.0102 0.0219 0 119.367 14.854 158 15 86 16 0.0056 0.0221 0 74.221 11.704 83 17 29 6 +49 0 0.0002 0.0014 0 74.075 13.074 21 6 62 10 0.0001 0.0032 0 31.324 7.678 18 6 37 6 +49 0 0.0007 0.0018 0 159.581 15.657 127 16 239 17 0.0003 0.0018 0 91.179 12.15 127 16 17 9 +49 0 0.0003 0.0005 0 118.071 13.925 136 13 213 17 0.0002 0.0005 0 59.138 9.866 97 16 27 5 +49 0 0.0039 0.0102 0 106.068 14.758 143 17 12 4 0.0022 0.0102 0 65.044 11.339 143 17 23 6 +49 0 0.0002 0.0003 0 117.635 14.757 119 14 130 15 0.0001 0.0003 0 60.601 10.236 116 16 6 4 +49 0 0.0016 0.003 0 87.846 13.534 87 13 129 17 0.0007 0.0033 0 50.663 10.109 118 17 17 6 +50 0 0.0103 0.0219 0 121.124 14.899 184 17 104 16 0.0057 0.0221 0 75.141 11.766 83 17 29 6 +50 0 0.0002 0.0026 0 72.485 13.225 76 15 101 12 0.0001 0.0032 0 32.131 7.787 18 6 37 6 +50 0 0.0008 0.0019 0 161.479 15.714 125 16 197 16 0.0004 0.0019 0 92.558 12.219 125 16 17 9 +50 0 0.0003 0.0005 0 119.15 13.914 123 13 168 17 0.0002 0.0005 0 60.315 9.945 97 16 27 5 +50 0 0.004 0.0104 0 106.436 14.751 110 17 177 17 0.0023 0.0104 0 65.856 11.406 110 17 23 6 +50 0 0.0002 0.0003 0 120.409 14.793 123 14 89 16 0.0001 0.0003 0 61.774 10.325 116 16 6 4 +50 0 0.0016 0.003 0 89.286 13.696 80 16 81 13 0.0008 0.0033 0 51.42 10.179 118 17 17 6 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.bst new file mode 100644 index 0000000..86ecbee --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 10 + nodes: 15 + depth: 4 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ x + (* x x)) + (* (+ x + (* x x)) + (* x x))) +TREE-equ: +y = ((x + (x * x)) + ((x + (x * x)) * (x * x))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.fn new file mode 100644 index 0000000..4411226 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.fn @@ -0,0 +1,2 @@ + +y = ((x + (x * x)) + ((x + (x * x)) * (x * x))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.his new file mode 100644 index 0000000..72b59b8 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.his @@ -0,0 +1,220 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 10 + depth: 3 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 13066.6592 + standardized fitness: 13066.6592 + adjusted fitness: 0.0001 +TREE: + (* (- (exp x) + (- -0.67488 x)) + (log (exp x))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 5 + depth: 2 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 11350.4226 + standardized fitness: 11350.4226 + adjusted fitness: 0.0001 +TREE: + (* x + (/ x 0.08244)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 11 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10605.7139 + standardized fitness: 10605.7139 + adjusted fitness: 0.0001 +TREE: + (- (cos (log x)) + (* (/ x 0.06923) + (- -0.02231 x))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 12 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10589.3556 + standardized fitness: 10589.3556 + adjusted fitness: 0.0001 +TREE: + (- (cos (/ 0.59749 -0.85037)) + (* (/ x 0.06923) + (- -0.02231 x))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 11 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10382.5770 + standardized fitness: 10382.5770 + adjusted fitness: 0.0001 +TREE: + (- (+ x 0.17669) + (* (/ x 0.06923) + (- -0.02231 x))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 11 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10382.5770 + standardized fitness: 10382.5770 + adjusted fitness: 0.0001 +TREE: + (- (+ x 0.17669) + (* (/ x 0.06923) + (- -0.02231 x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 9 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1543.6259 + standardized fitness: 1543.6259 + adjusted fitness: 0.0006 +TREE: + (* (+ x + (* x x)) + (* x x)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 13 + depth: 3 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 849.2357 + standardized fitness: 849.2357 + adjusted fitness: 0.0012 +TREE: + (* (+ x + (* x x)) + (* (* x x) + (- 0.30934 -0.77329))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 32 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 826.0171 + standardized fitness: 826.0171 + adjusted fitness: 0.0012 +TREE: + (+ (+ (log x) + (/ (exp x) + (log (- (exp -0.30625) + (- (* (+ x + (exp x)) + (- -0.63247 0.30722)) + (/ x x)))))) + (* (+ x + (* x x)) + (* x x))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 17 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 504.5374 + standardized fitness: 504.5374 + adjusted fitness: 0.0020 +TREE: + (+ (+ (/ 0.21868 x) + (* x x)) + (* (+ x + (* x x)) + (* x x))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 15 + depth: 4 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ x + (* x x)) + (* (+ x + (* x x)) + (* x x))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.prg new file mode 100644 index 0000000..e825569 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.28520, y = 0.39635 + x = 1.30331, y = 8.10109 + x = -3.30318, y = 90.61624 + x = 3.54966, y = 219.63839 + x = -1.81654, y = 6.37781 + x = 0.26540, y = 0.35948 + x = -2.51187, y = 27.75887 + x = -0.63655, y = -0.32510 + x = 2.11729, y = 36.18816 + x = 4.13264, y = 383.47501 + x = 0.42672, y = 0.71966 + x = -0.75825, y = -0.28870 + x = -4.47346, y = 326.49042 + x = -3.95170, y = 193.81252 + x = -1.54043, y = 2.80797 + x = -2.79062, y = 43.91064 + x = -1.37245, y = 1.47400 + x = 2.14021, y = 37.50502 + x = 4.81292, y = 676.04361 + x = -2.21393, y = 15.86054 + x = -2.76416, y = 42.13491 + x = -0.65323, y = -0.32318 + x = -4.59247, y = 364.46189 + x = -4.79623, y = 437.05219 + x = 0.72682, y = 1.91813 + x = -4.07263, y = 220.06870 + x = -1.35940, y = 1.39143 + x = -0.67947, y = -0.31834 + x = -0.49818, y = -0.31204 + x = 2.35863, y = 51.99140 + x = -1.58306, y = 3.23618 + x = -1.81437, y = 6.34168 + x = -3.31818, y = 92.38480 + x = 2.64068, y = 76.65343 + x = -4.11102, y = 228.93741 + x = 1.21594, y = 6.67816 + x = -4.87487, y = 467.78722 + x = -2.37314, y = 21.61080 + x = 2.32862, y = 49.78138 + x = -1.32744, y = 1.20059 + x = -3.12210, y = 71.20653 + x = -4.13822, y = 235.38118 + x = -0.51000, y = -0.31490 + x = 0.08006, y = 0.08702 + x = 0.97636, y = 3.76911 + x = 4.50806, y = 529.45621 + x = 3.87389, y = 302.22638 + x = -3.63804, y = 136.62007 + x = 1.27241, y = 7.57279 + x = -4.70195, y = 402.23145 + x = -2.61894, y = 33.32078 + x = -4.48701, y = 330.65530 + x = 1.92094, y = 26.31564 + x = -2.81201, y = 45.38682 + x = 2.60802, y = 73.41260 + x = -2.90043, y = 51.88196 + x = -0.37851, y = -0.26894 + x = -0.94386, y = -0.10020 + x = 2.66068, y = 78.69086 + x = 1.96753, y = 28.44111 + x = 0.14027, y = 0.16309 + x = 4.86127, y = 701.84228 + x = 2.03483, y = 31.74461 + x = -1.55527, y = 2.95250 + x = 2.25474, y = 44.64705 + x = -0.43506, y = -0.29230 + x = 4.75174, y = 644.43523 + x = 0.44648, y = 0.77457 + x = 0.07194, y = 0.07751 + x = -1.04850, y = 0.10675 + x = -1.66450, y = 4.17050 + x = -2.73441, y = 40.20297 + x = -4.13220, y = 233.94349 + x = 4.51487, y = 532.43761 + x = -4.59499, y = 365.29847 + x = -3.27715, y = 87.60833 + x = 2.42583, y = 57.21452 + x = 3.21954, y = 154.39888 + x = -2.40425, y = 22.89170 + x = -1.37275, y = 1.47595 + x = 1.30588, y = 8.14634 + x = 4.58446, y = 563.67899 + x = 1.65985, y = 16.57856 + x = 2.53429, y = 66.48420 + x = -2.78164, y = 43.30218 + x = -1.44433, y = 1.98051 + x = 1.15080, y = 5.75304 + x = 3.23709, y = 157.44092 + x = -4.61406, y = 371.68916 + x = 1.32404, y = 8.47164 + x = 1.46419, y = 11.34320 + x = -0.32135, y = -0.24061 + x = 2.55492, y = 68.36975 + x = -1.62288, y = 3.67320 + x = -4.66294, y = 388.45288 + x = 4.61231, y = 576.56388 + x = 4.99398, y = 776.47829 + x = -0.02486, y = -0.02426 + x = -0.32495, y = -0.24252 + x = -0.74649, y = -0.29470 + x = -2.91776, y = 53.23264 + x = -4.34565, y = 289.10403 + x = 3.76621, y = 272.56745 + x = -2.35484, y = 20.88212 + x = -1.00783, y = 0.01591 + x = -2.20340, y = 15.52478 + x = -1.14686, y = 0.38995 + x = 4.38665, y = 478.32217 + x = 4.96963, y = 762.35512 + x = -0.94766, y = -0.09415 + x = 0.94878, y = 3.51333 + x = 1.38440, y = 9.62745 + x = -1.32980, y = 1.21411 + x = -3.66336, y = 140.69623 + x = -4.49667, y = 333.64965 + x = -4.53838, y = 346.81367 + x = -2.69365, y = 37.66362 + x = -1.34229, y = 1.28727 + x = -1.89233, y = 7.73519 + x = 2.64243, y = 76.82988 + x = -0.42904, y = -0.29006 + x = -0.22339, y = -0.18215 + x = -4.22857, y = 257.76465 + x = -4.18157, y = 245.93068 + x = -3.13073, y = 72.05420 + x = -2.31885, y = 19.50251 + x = -1.50062, y = 2.44295 + x = 3.22264, y = 154.93268 + x = 0.52270, y = 1.01336 + x = 2.60841, y = 73.45086 + x = 2.86971, y = 102.55628 + x = 3.03918, y = 125.66200 + x = 3.24991, y = 159.69097 + x = 3.54341, y = 218.23610 + x = 2.67847, y = 80.53804 + x = 4.92149, y = 735.00341 + x = 0.91426, y = 3.21297 + x = 0.32321, y = 0.47236 + x = 2.03096, y = 31.54707 + x = -3.24326, y = 83.80450 + x = -3.75068, y = 155.45071 + x = -2.50691, y = 27.51898 + x = 0.12942, y = 0.14862 + x = -2.25649, y = 17.27167 + x = -3.24691, y = 84.20826 + x = -3.31241, y = 91.70238 + x = -1.09279, y = 0.22248 + x = 1.73649, y = 19.08068 + x = -3.49215, y = 114.83599 + x = 2.65591, y = 78.20109 + x = 1.11293, y = 5.26425 + x = -3.22866, y = 82.20381 + x = 4.45244, y = 505.54302 + x = 2.06664, y = 33.40571 + x = 1.38380, y = 9.61546 + x = -0.95694, y = -0.07894 + x = -2.59556, y = 32.04151 + x = -4.77720, y = 429.84739 + x = -0.03331, y = -0.03224 + x = -0.92932, y = -0.12242 + x = 1.88235, y = 24.64969 + x = 3.52993, y = 215.23685 + x = -2.64431, y = 34.75137 + x = 3.21289, y = 153.25866 + x = -2.19698, y = 15.32274 + x = -1.54431, y = 2.84531 + x = -3.74502, y = 154.46095 + x = -4.07331, y = 220.22395 + x = 4.58355, y = 563.26313 + x = 3.81575, y = 285.92436 + x = 1.55441, y = 13.56422 + x = 0.56986, y = 1.18511 + x = -2.85014, y = 48.10896 + x = 0.45176, y = 0.78971 + x = -3.47050, y = 111.84129 + x = -2.20039, y = 15.42975 + x = 0.32417, y = 0.47436 + x = -1.29521, y = 1.02378 + x = -0.56537, y = -0.32427 + x = 2.82621, y = 97.18688 + x = -4.72329, y = 409.92520 + x = -1.72342, y = 4.94990 + x = -1.74405, y = 5.24481 + x = -3.54799, y = 122.84064 + x = -4.27394, y = 269.58976 + x = 4.33977, y = 459.61308 + x = 0.68349, y = 1.68816 + x = -4.96298, y = 504.11959 + x = 0.74039, y = 1.99492 + x = -0.77721, y = -0.27775 + x = 3.66650, y = 247.12050 + x = -0.01244, y = -0.01228 + x = 0.73966, y = 1.99075 + x = 3.21521, y = 153.65624 + x = 0.20233, y = 0.25323 + x = 0.67946, y = 1.66796 + x = -4.65677, y = 386.30414 + x = 4.67765, y = 607.66170 + x = -3.78599, y = 161.73522 + x = 3.95347, y = 325.67130 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.stt new file mode 100644 index 0000000..c77c013 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.stt @@ -0,0 +1,12 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.884 3.667 10 3 23 6 0.0000 0.0001 0.0000 12.884 3.667 10 3 23 6 +1 0 0.0000 0.0001 0.0000 12.557 3.922 5 2 5 3 0.0000 0.0001 0.0000 12.720 3.794 5 2 23 6 +2 0 0.0000 0.0001 0.0000 12.648 4.102 11 3 49 7 0.0000 0.0001 0.0000 12.696 3.897 11 3 23 6 +3 0 0.0000 0.0001 0.0000 12.777 4.237 12 3 9 6 0.0000 0.0001 0.0000 12.716 3.982 12 3 23 6 +4 0 0.0000 0.0001 0.0000 12.552 4.301 11 3 18 5 0.0000 0.0001 0.0000 12.683 4.046 11 3 23 6 +5 0 0.0000 0.0001 0.0000 12.452 4.328 11 3 17 9 0.0000 0.0001 0.0000 12.645 4.093 11 3 23 6 +6 0 0.0000 0.0006 0.0000 12.390 4.377 9 3 27 7 0.0000 0.0006 0.0000 12.608 4.133 9 3 23 6 +7 0 0.0000 0.0012 0.0000 12.668 4.491 13 3 31 11 0.0000 0.0012 0.0000 12.616 4.178 13 3 23 6 +8 0 0.0000 0.0012 0.0000 12.811 4.544 32 9 12 7 0.0000 0.0012 0.0000 12.638 4.219 32 9 23 6 +9 0 0.0001 0.0020 0.0000 13.532 4.699 17 4 14 4 0.0000 0.0020 0.0000 12.727 4.267 17 4 23 6 +10 0 0.0007 1.0000 0.0000 16.376 5.224 15 4 5 3 0.0001 1.0000 0.0000 13.059 4.354 15 4 23 6 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.sys new file mode 100644 index 0000000..ad6e992 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_0/regress.sys @@ -0,0 +1,83 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 23. +creating initial population(s): + 5627 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 18801148 + freed: 18600628 + not freed: 200520 + max allocated: 2846271 + malloc'ed blocks: 161015 + realloc'ed blocks: 9 + free'ed blocks: 160985 + +------- time ------- + overall: 1s wall + evaluation: 0s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 16958 + freed: 16958 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.bst new file mode 100644 index 0000000..537d6bc --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.bst @@ -0,0 +1,36 @@ +=== BEST-OF-RUN === + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +TREE-equ: +y = (x * ((((x * x) * (x + 0.95783)) + (log((x + x)) - ((cos(sin((x * -0.65293))) * cos(exp(cos(x)))) - x))) + ((-0.52746 * -0.52845) - (((cos(x) - log((x + x))) * cos(((x * x) * (x + 0.95783)))) * ((log((x * (log((0.73343 - (((log(sin((-0.52746 * -0.52845))) * (x + 0.46729)) + x) + ((-0.52746 * -0.52845) / x)))) - (0.73343 - x)))) - log(-0.52746)) * (x - x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.fn new file mode 100644 index 0000000..8129a38 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.fn @@ -0,0 +1,2 @@ + +y = (x * ((((x * x) * (x + 0.95783)) + (log((x + x)) - ((cos(sin((x * -0.65293))) * cos(exp(cos(x)))) - x))) + ((-0.52746 * -0.52845) - (((cos(x) - log((x + x))) * cos(((x * x) * (x + 0.95783)))) * ((log((x * (log((0.73343 - (((log(sin((-0.52746 * -0.52845))) * (x + 0.46729)) + x) + ((-0.52746 * -0.52845) / x)))) - (0.73343 - x)))) - log(-0.52746)) * (x - x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.his new file mode 100644 index 0000000..f42dd34 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.his @@ -0,0 +1,1735 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 6 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11807.9664 + standardized fitness: 11807.9664 + adjusted fitness: 0.0001 +TREE: + (* (exp x) + (- x -0.75431)) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 15 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7896.8910 + standardized fitness: 7896.8910 + adjusted fitness: 0.0001 +TREE: + (* (* (- 0.65737 -0.56769) + (* x x)) + (* (* x 0.81479) + (* x 0.83336))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 53 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5288.0168 + standardized fitness: 5288.0168 + adjusted fitness: 0.0002 +TREE: + (* (+ (log (- (* (exp x) + (exp 0.30001)) + (log x))) + (+ (exp (* (exp 0.37940) + (log x))) + (* (cos (/ -0.42717 0.07669)) + (- (+ -0.96635 x) + (- x 0.03776))))) + (exp (+ (sin (log (- -0.75978 x))) + (+ (+ (/ (- x x) + (- 0.15060 -0.06217)) 0.88378) + (+ 0.23604 + (log (+ -0.19956 x))))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 43 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4998.2883 + standardized fitness: 4998.2883 + adjusted fitness: 0.0002 +TREE: + (- (- (* (+ x -0.55533) + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (cos x) + (cos (log (+ (- -0.50102 x) + (exp -0.28711)))))) + (- (sin (* -0.52746 -0.52845)) + (* (+ x x) + (- x x))))) + (cos 0.79558)) + (exp (log x))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 52 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4783.6736 + standardized fitness: 4783.6736 + adjusted fitness: 0.0002 +TREE: + (* (+ (log (- (* (exp x) + (exp 0.30001)) + (log (- (* x + (+ (sin -0.98791) + (/ 0.96087 x))) 0.93791)))) + (+ (exp (* (exp 0.37940) + (log x))) + (log 0.30996))) + (exp (+ (sin (log (- -0.75978 x))) + (+ (+ (/ (- x x) + (- 0.15060 -0.06217)) 0.88378) + (+ 0.23604 + (log (+ -0.19956 x))))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 36 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1315.3571 + standardized fitness: 1315.3571 + adjusted fitness: 0.0008 +TREE: + (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (cos x) + (- 0.73343 x))) + (- (sin (* -0.52746 -0.52845)) + (* (+ x x) + (- x x))))) + (cos 0.79558)) + (exp (log x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 43 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 545.5211 + standardized fitness: 545.5211 + adjusted fitness: 0.0018 +TREE: + (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- x + (log (log (sin (- 0.35700 -0.45484)))))) + (- 0.73343 x))) + (- (sin (* -0.52746 -0.52845)) + (* (+ x x) + (- x x))))) + (cos 0.79558)) + (exp (log x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 75 + depth: 13 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 393.8368 + standardized fitness: 393.8368 + adjusted fitness: 0.0025 +TREE: + (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- x + (log (log (sin (- 0.35700 -0.45484)))))) + (- 0.73343 x))) + (- (sin (* -0.52746 -0.52845)) + (* (+ x x) + (- x x))))) + (log (- (log (- (* (+ x x) -0.74968) + (* (- (- 0.46729 0.39742) + (log (/ (exp (log (+ x x))) + (exp (* (- 0.84792 -0.82038) + (+ x x)))))) + (sin -0.31143)))) + (cos (sin 0.37423))))) + (exp (log x))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 26 + depth: 5 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 180.5556 + standardized fitness: 180.5556 + adjusted fitness: 0.0055 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (+ x 0.95783)) + (- (sin (* -0.52746 -0.52845)) + (* (+ x x) + (- x x))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 32 + depth: 7 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 153.3538 + standardized fitness: 153.3538 + adjusted fitness: 0.0065 +TREE: + (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- (sin (* -0.52746 -0.52845)) + (* -0.45931 + (- x x))))) + (cos 0.79558)) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 31 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 89.7188 + standardized fitness: 89.7188 + adjusted fitness: 0.0110 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- (sin (* -0.52746 -0.52845)) + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 11 + nodes: 27 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 64.6128 + standardized fitness: 64.6128 + adjusted fitness: 0.0152 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- 0.73343 x))) + (- 0.35700 + (* (exp 0.06538) + (- x x))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 59 + depth: 10 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 57.9691 + standardized fitness: 57.9691 + adjusted fitness: 0.0170 +TREE: + (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- x + (sin (log 0.79920)))) + (- 0.73343 x))) + (- (sin (- 0.84792 -0.82038)) + (* (+ x x) + (- x x))))) + (sin (exp (- -0.82038 + (* (+ x x) + (- x x)))))) + (* x + (* -0.62714 + (/ (sin (cos 0.37423)) + (- (* x x) -0.06217))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 18 + nodes: 59 + depth: 10 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 57.9691 + standardized fitness: 57.9691 + adjusted fitness: 0.0170 +TREE: + (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- x + (sin (log 0.79920)))) + (- 0.73343 x))) + (- (sin (- 0.84792 -0.82038)) + (* (+ x x) + (- x x))))) + (sin (exp (- -0.82038 + (* (+ x x) + (- x x)))))) + (* x + (* -0.62714 + (/ (sin (cos 0.37423)) + (- (* x x) -0.06217))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 96 + depth: 15 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 53.6028 + standardized fitness: 53.6028 + adjusted fitness: 0.0183 +TREE: + (+ (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- (- (log (- x + (log (cos (cos -0.74465))))) + (- 0.73343 x)) + (log (log (sin (- 0.35700 -0.45484)))))) + (- (cos 0.79558) x))) + (* -0.52746 -0.52845))) + (cos 0.79558)) + (exp (* (+ x x) + (- x x)))) + (- (cos (/ (log (- x + (- 0.73343 x))) + (sin (exp (* (/ (* x + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) x) x))) + (/ x + (exp 0.06346))) + (* 0.60373 + (* 0.79886 -0.00142))))))) + (- -0.29628 + (+ (* 0.76847 x) + (sin 0.38091))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 101 + depth: 16 + hits: 8 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 8 + raw fitness: 51.7540 + standardized fitness: 51.7540 + adjusted fitness: 0.0190 +TREE: + (+ (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- (- (log (- x + (log (cos (cos -0.74465))))) + (- 0.73343 x)) + (log (log (sin (- 0.35700 -0.45484)))))) + (- (cos 0.79558) x))) + (* -0.52746 -0.52845))) + (cos 0.79558)) + (exp (* (+ x x) + (- x x)))) + (- (cos (/ (log (- x + (- 0.73343 x))) + (sin (exp (* (/ (* x + (* x + (+ (+ (* (* x x) + (- (log (+ x x)) + (- 0.73343 x))) x) x))) + (/ x + (exp 0.06346))) + (* 0.60373 + (* 0.79886 -0.00142))))))) + (- -0.29628 + (+ (* 0.76847 x) + (sin 0.38091))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 88 + depth: 15 + hits: 12 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 12 + raw fitness: 50.1107 + standardized fitness: 50.1107 + adjusted fitness: 0.0196 +TREE: + (+ (- (- (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (- (- (log (- x + (log (cos (cos -0.74465))))) + (- 0.73343 x)) + (log (log (sin (- 0.35700 -0.45484)))))) + (- (cos 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generation: 42 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 39 + nodes: 83 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 44.1929 + standardized fitness: 44.1929 + adjusted fitness: 0.0221 +TREE: + (* x + (+ (+ (* (* x x) + (+ x 0.95783)) + (- (log (+ x x)) + (- (* (cos (sin (* x -0.65293))) + (cos (exp (cos x)))) x))) + (- (* -0.52746 -0.52845) + (* (* (- (cos x) + (log (+ x x))) + (cos (* (* x x) + (+ x 0.95783)))) + (* (- (log (* x + (- (log (- 0.73343 + (+ (+ (* (log (sin (* -0.52746 -0.52845))) + (+ x 0.46729)) x) + (/ (* -0.52746 -0.52845) x)))) + (- 0.73343 x)))) + (log -0.52746)) + (- x x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.prg new file mode 100644 index 0000000..ef226fa --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -1.75676, y = 5.43231 + x = 1.38022, y = 9.54353 + x = -3.82805, y = 169.46761 + x = 4.74047, y = 638.73141 + x = 0.43215, y = 0.73450 + x = -2.41323, y = 23.27185 + x = 0.58707, y = 1.25283 + x = 1.34937, y = 8.94241 + x = -1.96900, y = 9.30505 + x = -1.64592, y = 3.94320 + x = -0.60599, y = -0.32645 + x = -0.61177, y = -0.32640 + x = 2.56325, y = 69.14326 + x = -2.77375, y = 42.77242 + x = 3.24335, y = 158.53728 + x = 2.61661, y = 74.25515 + x = -1.95526, y = 9.00847 + x = 2.24052, y = 43.70720 + x = 1.40490, y = 10.04731 + x = 0.59839, y = 1.29894 + x = 2.85723, y = 100.99427 + x = 0.24943, y = 0.33103 + x = 1.88807, y = 24.89117 + x = 0.03994, y = 0.04160 + x = -1.92727, y = 8.42507 + x = -1.30860, y = 1.09536 + x = -4.71290, y = 406.16576 + x = 1.71624, y = 18.39259 + x = -0.25497, y = -0.20231 + x = -2.41661, y = 23.41590 + x = 4.83232, y = 686.30972 + x = 3.29054, y = 166.98510 + x = -0.49003, y = -0.30991 + x = -3.00213, y = 60.18373 + x = 3.19780, y = 150.69406 + x = -1.63541, y = 3.81841 + x = -3.95565, y = 194.63146 + x = 1.68252, y = 17.29034 + x = 1.69021, y = 17.53689 + x = -0.77313, y = -0.28024 + x = 4.22971, y = 417.85781 + x = 3.79988, y = 281.59249 + x = -2.84990, y = 48.09102 + x = 3.12615, y = 138.95798 + x = 4.98310, y = 770.14565 + x = -2.15344, y = 14.00241 + x = -4.47768, y = 327.78366 + x = -4.86498, y = 463.83541 + x = -3.53378, y = 120.76557 + x = 2.29216, y = 47.19393 + x = -1.13918, y = 0.36432 + x = 3.58708, y = 228.17283 + x = -2.83715, y = 47.16781 + x = -1.44984, y = 2.02314 + x = -4.83445, y = 451.79356 + x = -0.04730, y = -0.04516 + x = -3.12976, y = 71.95801 + x = 4.17409, y = 397.88393 + x = -3.45734, y = 110.04817 + x = -2.93244, y = 54.39627 + x = -3.45758, y = 110.08065 + x = 3.90454, y = 311.10076 + x = 4.65916, y = 598.73572 + x = 3.80413, y = 282.74929 + x = -0.87562, y = -0.19241 + x = 0.59413, y = 1.28144 + x = -2.76188, y = 41.98437 + x = 4.43711, y = 499.09573 + x = -2.75685, y = 41.65427 + x = 0.39680, y = 0.64151 + x = 2.09429, y = 34.90366 + x = -2.09028, y = 12.23654 + x = 0.77430, y = 2.19749 + x = 4.11274, y = 376.69757 + x = -3.26243, y = 85.94019 + x = 4.27015, y = 432.85426 + x = -1.91343, y = 8.14670 + x = -1.66209, y = 4.14054 + x = -0.12561, y = -0.11157 + x = 3.12002, y = 137.98806 + x = -3.17884, y = 76.91533 + x = -3.88699, y = 180.76672 + x = 0.17357, y = 0.20984 + x = -2.32253, y = 19.64028 + x = -3.95903, y = 195.33310 + x = -4.07222, y = 219.97677 + x = 3.63138, y = 238.59918 + x = 0.70584, y = 1.80392 + x = 2.87349, y = 103.03382 + x = -2.39633, y = 22.56035 + x = -3.87353, y = 178.13860 + x = -3.39276, y = 101.56347 + x = -0.56062, y = -0.32374 + x = -3.70659, y = 147.86314 + x = 2.13257, y = 37.06214 + x = 1.31999, y = 8.39807 + x = -1.97442, y = 9.42395 + x = -1.96264, y = 9.16685 + x = 1.38858, y = 9.71183 + x = -4.28705, y = 273.08166 + x = 4.75998, y = 648.62493 + x = 2.18441, y = 40.14803 + x = 0.26063, y = 0.35087 + x = -1.65380, y = 4.03859 + x = 0.47100, y = 0.84655 + x = -2.25220, y = 17.12526 + x = -1.58649, y = 3.27243 + x = 4.48538, y = 519.60359 + x = -2.49081, y = 26.75134 + x = 4.23777, y = 420.81636 + x = 1.32133, y = 8.42235 + x = 1.16440, y = 5.93725 + x = -3.69940, y = 146.65253 + x = 3.93899, y = 321.30545 + x = -4.05891, y = 216.96304 + x = 4.93518, y = 742.70838 + x = -0.53483, y = -0.31995 + x = 3.36575, y = 181.15271 + x = -3.32844, y = 93.60911 + x = 2.80439, y = 94.57639 + x = -2.43145, y = 24.05716 + x = 4.20076, y = 407.37134 + x = -1.95147, y = 8.92778 + x = -3.46980, y = 111.74500 + x = 0.63682, y = 1.46506 + x = 4.90988, y = 728.52368 + x = 2.64909, y = 77.50503 + x = -2.57190, y = 30.78430 + x = -1.35826, y = 1.38436 + x = 3.98977, y = 336.80878 + x = 0.85665, y = 2.75768 + x = -1.39881, y = 1.64938 + x = -4.17128, y = 243.39556 + x = 0.63662, y = 1.46416 + x = -3.20130, y = 79.26759 + x = 0.65676, y = 1.55742 + x = 4.81241, y = 675.77746 + x = 1.23458, y = 6.96371 + x = -3.26362, y = 86.07458 + x = -3.89421, y = 182.18919 + x = 1.46261, y = 11.30699 + x = -4.73438, y = 413.96407 + x = -0.96572, y = -0.06398 + x = -4.93090, y = 490.65373 + x = -4.96487, y = 504.92187 + x = -3.07429, y = 66.64773 + x = 3.55871, y = 221.68002 + x = -2.09082, y = 12.25097 + x = 0.65659, y = 1.55663 + x = 2.22269, y = 42.55098 + x = 3.67090, y = 248.20194 + x = -4.40252, y = 305.31821 + x = 4.39562, y = 481.96799 + x = 2.39881, y = 55.06824 + x = -0.14370, y = -0.12559 + x = 1.15879, y = 5.86066 + x = 1.35569, y = 9.06314 + x = 4.62401, y = 582.04174 + x = -3.45250, y = 109.39489 + x = 4.81424, y = 676.74145 + x = -2.06461, y = 11.56717 + x = 2.17892, y = 39.81216 + x = 2.74900, y = 88.18869 + x = -3.59660, y = 130.14282 + x = -2.22484, y = 16.21391 + x = 1.05570, y = 4.58895 + x = -2.86988, y = 49.56427 + x = -3.76850, y = 158.59979 + x = 3.90386, y = 310.90122 + x = 4.01539, y = 344.84200 + x = -3.62353, y = 134.32570 + x = -3.44401, y = 108.25513 + x = -2.29084, y = 18.47578 + x = -0.55113, y = -0.32253 + x = 4.13349, y = 383.76683 + x = -3.02893, y = 62.52701 + x = 4.80514, y = 671.96067 + x = 0.64972, y = 1.52433 + x = 1.67390, y = 17.01689 + x = 4.47803, y = 516.44050 + x = -1.44581, y = 1.99193 + x = 3.02508, y = 123.60153 + x = -4.11940, y = 230.90829 + x = -1.17251, y = 0.48033 + x = 1.05437, y = 4.57413 + x = 3.67773, y = 249.89105 + x = 0.85219, y = 2.72472 + x = 4.42532, y = 494.18239 + x = -2.13854, y = 13.57019 + x = 0.74299, y = 2.00993 + x = -1.47336, y = 2.21144 + x = 3.58091, y = 226.74941 + x = 2.33072, y = 49.93359 + x = -2.27901, y = 18.05434 + x = 4.72932, y = 633.13184 + x = -0.09338, y = -0.08540 + x = 2.55646, y = 68.51235 + x = 4.58541, y = 564.11436 + x = -4.06439, y = 218.20119 + x = 3.06406, y = 129.36259 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.stt new file mode 100644 index 0000000..bdba7b2 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.830 3.650 6 2 29 6 0.0000 0.0001 0.0000 12.830 3.650 6 2 29 6 +1 0 0.0000 0.0001 0.0000 11.998 3.802 15 3 22 5 0.0000 0.0001 0.0000 12.414 3.726 15 3 29 6 +2 0 0.0000 0.0002 0.0000 12.003 3.953 53 7 31 8 0.0000 0.0002 0.0000 12.277 3.802 53 7 29 6 +3 0 0.0000 0.0002 0.0000 12.138 4.064 43 10 7 3 0.0000 0.0002 0.0000 12.242 3.867 43 10 29 6 +4 0 0.0000 0.0002 0.0000 12.503 4.228 52 9 16 5 0.0000 0.0002 0.0000 12.294 3.939 52 9 29 6 +5 0 0.0000 0.0008 0.0000 13.064 4.372 36 7 10 5 0.0000 0.0008 0.0000 12.423 4.011 36 7 29 6 +6 0 0.0000 0.0018 0.0000 14.192 4.556 43 12 27 7 0.0000 0.0018 0.0000 12.676 4.089 43 12 29 6 +7 0 0.0001 0.0025 0.0000 17.217 5.081 75 13 10 5 0.0000 0.0025 0.0000 13.243 4.213 75 13 29 6 +8 0 0.0002 0.0055 0.0000 28.075 6.999 26 5 75 11 0.0001 0.0055 0.0000 14.891 4.523 26 5 29 6 +9 0 0.0006 0.0065 0.0000 38.586 8.943 32 7 87 14 0.0001 0.0065 0.0000 17.261 4.965 32 7 29 6 +10 0 0.0008 0.0110 0.0000 42.829 9.718 31 6 58 11 0.0002 0.0110 0.0000 19.585 5.397 31 6 29 6 +11 0 0.0010 0.0152 0.0000 46.390 10.232 27 6 74 10 0.0002 0.0152 0.0000 21.819 5.800 27 6 29 6 +12 0 0.0012 0.0113 0.0000 50.159 10.773 36 10 51 12 0.0003 0.0152 0.0000 23.999 6.182 27 6 29 6 +13 0 0.0015 0.0114 0.0000 52.906 11.079 57 12 56 10 0.0004 0.0152 0.0000 26.064 6.532 27 6 29 6 +14 0 0.0019 0.0118 0.0000 56.820 11.464 71 15 94 16 0.0005 0.0152 0.0000 28.114 6.861 27 6 29 6 +15 0 0.0023 0.0129 0.0000 61.354 11.905 83 16 90 15 0.0006 0.0152 0.0000 30.191 7.176 27 6 29 6 +16 0 0.0027 0.0152 0.0000 65.395 12.219 36 9 75 13 0.0007 0.0152 0.0000 32.262 7.473 27 6 29 6 +17 0 0.0032 0.0146 0.0000 69.613 12.459 83 15 104 15 0.0009 0.0152 0.0000 34.337 7.750 27 6 29 6 +18 0 0.0036 0.0170 0.0000 72.658 12.667 59 10 117 16 0.0010 0.0170 0.0000 36.354 8.009 59 10 29 6 +19 0 0.0041 0.0170 0.0000 73.168 12.643 61 10 167 17 0.0012 0.0170 0.0000 38.195 8.240 59 10 29 6 +20 0 0.0045 0.0183 0.0000 73.585 12.607 96 15 128 15 0.0013 0.0183 0.0000 39.880 8.448 96 15 29 6 +21 0 0.0053 0.0190 0.0000 73.924 12.628 101 16 115 15 0.0015 0.0190 0.0000 41.428 8.638 101 16 29 6 +22 0 0.0057 0.0196 0.0000 73.941 12.635 88 15 70 14 0.0017 0.0196 0.0000 42.841 8.812 88 15 29 6 +23 0 0.0061 0.0182 0.0000 74.804 12.706 100 16 122 13 0.0019 0.0196 0.0000 44.173 8.974 88 15 29 6 +24 0 0.0066 0.0182 0.0000 76.416 12.836 100 16 40 9 0.0021 0.0196 0.0000 45.463 9.129 88 15 29 6 +25 0 0.0070 0.0173 0.0000 78.682 12.955 116 16 71 16 0.0023 0.0196 0.0000 46.740 9.276 88 15 29 6 +26 0 0.0073 0.0201 0.0000 81.131 13.140 123 16 35 8 0.0024 0.0201 0.0000 48.014 9.419 123 16 29 6 +27 0 0.0077 0.0201 0.0000 83.996 13.333 123 16 87 15 0.0026 0.0201 0.0000 49.299 9.559 123 16 29 6 +28 0 0.0080 0.0201 0.0000 86.401 13.452 137 16 148 16 0.0028 0.0201 0.0000 50.579 9.693 123 16 29 6 +29 0 0.0081 0.0201 0.0000 89.376 13.654 129 16 68 13 0.0030 0.0201 0.0000 51.872 9.825 123 16 29 6 +30 0 0.0082 0.0201 0.0000 92.058 13.843 138 17 124 16 0.0032 0.0201 0.0000 53.168 9.955 123 16 29 6 +31 0 0.0085 0.0201 0.0000 94.780 14.021 159 17 136 17 0.0033 0.0201 0.0000 54.468 10.082 123 16 29 6 +32 0 0.0087 0.0202 0.0000 96.317 14.061 109 16 99 15 0.0035 0.0202 0.0000 55.737 10.202 109 16 29 6 +33 0 0.0089 0.0202 0.0000 98.321 14.138 109 16 138 16 0.0036 0.0202 0.0000 56.989 10.318 109 16 29 6 +34 0 0.0090 0.0202 0.0000 100.611 14.270 106 16 166 15 0.0038 0.0202 0.0000 58.235 10.431 109 16 29 6 +35 0 0.0092 0.0202 0.0000 101.731 14.331 108 16 194 16 0.0040 0.0202 0.0000 59.444 10.539 109 16 29 6 +36 0 0.0092 0.0202 0.0000 102.559 14.429 108 16 104 16 0.0041 0.0202 0.0000 60.609 10.644 109 16 29 6 +37 0 0.0093 0.0199 0.0000 103.314 14.378 90 16 79 15 0.0042 0.0202 0.0000 61.733 10.743 109 16 29 6 +38 0 0.0096 0.0174 0.0000 105.436 14.506 97 13 81 16 0.0044 0.0202 0.0000 62.853 10.839 109 16 29 6 +39 0 0.0097 0.0221 0.0000 107.198 14.527 83 17 96 17 0.0045 0.0221 0.0000 63.962 10.931 83 17 29 6 +40 0 0.0098 0.0221 0.0000 109.305 14.620 90 17 125 17 0.0046 0.0221 0.0000 65.068 11.021 83 17 29 6 +41 0 0.0098 0.0183 0.0000 111.581 14.734 163 16 134 16 0.0048 0.0221 0.0000 66.175 11.110 83 17 29 6 +42 0 0.0098 0.0174 0.0000 112.471 14.690 101 14 180 16 0.0049 0.0221 0.0000 67.252 11.193 83 17 29 6 +43 0 0.0098 0.0170 0.0000 113.670 14.754 103 15 87 13 0.0050 0.0221 0.0000 68.307 11.274 83 17 29 6 +44 0 0.0100 0.0182 0.0000 115.794 14.800 124 16 81 17 0.0051 0.0221 0.0000 69.362 11.352 83 17 29 6 +45 0 0.0101 0.0219 0.0000 117.346 14.909 173 17 16 6 0.0052 0.0221 0.0000 70.405 11.430 83 17 29 6 +46 0 0.0101 0.0219 0.0000 117.378 14.859 177 17 111 16 0.0053 0.0221 0.0000 71.405 11.503 83 17 29 6 +47 0 0.0101 0.0219 0.0000 118.018 14.891 174 17 168 16 0.0054 0.0221 0.0000 72.376 11.573 83 17 29 6 +48 0 0.0102 0.0219 0.0000 117.649 14.828 179 17 82 12 0.0055 0.0221 0.0000 73.300 11.640 83 17 29 6 +49 0 0.0102 0.0219 0.0000 119.367 14.854 158 15 86 16 0.0056 0.0221 0.0000 74.221 11.704 83 17 29 6 +50 0 0.0103 0.0219 0.0000 121.124 14.899 184 17 104 16 0.0057 0.0221 0.0000 75.141 11.766 83 17 29 6 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.sys new file mode 100644 index 0000000..4dbce66 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_1/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1756. +creating initial population(s): + 5609 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 370112738 + freed: 369110138 + not freed: 1002600 + max allocated: 13412121 + malloc'ed blocks: 741018 + realloc'ed blocks: 12 + free'ed blocks: 740868 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33719 + freed: 33719 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.bst new file mode 100644 index 0000000..cfd3f18 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.bst @@ -0,0 +1,33 @@ +=== BEST-OF-RUN === + generation: 32 + nodes: 72 + depth: 13 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.6478 + standardized fitness: 0.6478 + adjusted fitness: 0.6069 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (cos -0.10339) + (* x x))) + (cos (sin (cos (log (+ x + (cos 0.05207)))))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (* (* (cos (* (- -0.94279 + (exp (* -0.94009 0.61677))) + (sin (log x)))) + (cos (sin (+ (+ -0.32750 + (cos (sin (cos -0.66045)))) + (+ (- x x) + (/ x 0.86064)))))) + (sin (+ -0.41917 0.44344))))) + (* x + (+ (* x x) + (cos (sin (+ -0.41917 0.44344)))))) +TREE-equ: +y = (((cos((log((cos((cos(-0.10339) / (x * x))) * cos(sin(cos(log((x + cos(0.05207)))))))) * sin((-0.41917 + 0.44344)))) * x) + cos(((cos(((-0.94279 - exp((-0.94009 * 0.61677))) * sin(log(x)))) * cos(sin(((-0.32750 + cos(sin(cos(-0.66045)))) + ((x - x) + (x / 0.86064)))))) * sin((-0.41917 + 0.44344))))) * (x * ((x * x) + cos(sin((-0.41917 + 0.44344)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.fn new file mode 100644 index 0000000..88bb13d --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.fn @@ -0,0 +1,2 @@ + +y = (((cos((log((cos((cos(-0.10339) / (x * x))) * cos(sin(cos(log((x + cos(0.05207)))))))) * sin((-0.41917 + 0.44344)))) * x) + cos(((cos(((-0.94279 - exp((-0.94009 * 0.61677))) * sin(log(x)))) * cos(sin(((-0.32750 + cos(sin(cos(-0.66045)))) + ((x - x) + (x / 0.86064)))))) * sin((-0.41917 + 0.44344))))) * (x * ((x * x) + cos(sin((-0.41917 + 0.44344)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.his new file mode 100644 index 0000000..988320c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.his @@ -0,0 +1,841 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11661.2316 + standardized fitness: 11661.2316 + adjusted fitness: 0.0001 +TREE: + (* (/ (log (/ (+ 0.93893 x) + (/ -0.21008 x))) + (exp (sin (+ -0.81319 0.54634)))) + (exp (+ (log (sin x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11661.2316 + standardized fitness: 11661.2316 + adjusted fitness: 0.0001 +TREE: + (* (/ (log (/ (+ 0.93893 x) + (/ -0.21008 x))) + (exp (sin (+ -0.81319 0.54634)))) + (exp (+ (log (sin x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11661.2316 + standardized fitness: 11661.2316 + adjusted fitness: 0.0001 +TREE: + (* (/ (log (/ (+ 0.93893 x) + (/ -0.21008 x))) + (exp (sin (+ -0.81319 0.54634)))) + (exp (+ (log (sin x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11661.2316 + standardized fitness: 11661.2316 + adjusted fitness: 0.0001 +TREE: + (* (/ (log (/ (+ 0.93893 x) + (/ -0.21008 x))) + (exp (sin (+ -0.81319 0.54634)))) + (exp (+ (log (sin x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 0 + nodes: 23 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11661.2316 + standardized fitness: 11661.2316 + adjusted fitness: 0.0001 +TREE: + (* (/ (log (/ (+ 0.93893 x) + (/ -0.21008 x))) + (exp (sin (+ -0.81319 0.54634)))) + (exp (+ (log (sin x)) + (exp (log x))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 26 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6913.0731 + standardized fitness: 6913.0731 + adjusted fitness: 0.0001 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* (cos x) + (log 0.79753))) + (+ (+ (* x x) + (sin -0.85950)) + (cos (+ 0.85284 x))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 28 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6899.3783 + standardized fitness: 6899.3783 + adjusted fitness: 0.0001 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* (cos x) + (log 0.79753))) + (+ (+ (* x x) + (sin (exp (exp 0.48387)))) + (cos (+ 0.85284 x))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 31 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6860.9686 + standardized fitness: 6860.9686 + adjusted fitness: 0.0001 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* (cos x) + (log (cos (cos (cos x)))))) + (+ (+ (* x x) + (sin (exp (exp 0.48387)))) + (cos (+ 0.85284 x))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 31 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6860.9686 + standardized fitness: 6860.9686 + adjusted fitness: 0.0001 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* (cos x) + (log (cos (cos (cos x)))))) + (+ (+ (* x x) + (sin (exp (exp 0.48387)))) + (cos (+ 0.85284 x))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 29 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3916.3164 + standardized fitness: 3916.3164 + adjusted fitness: 0.0003 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* (cos x) + (* (* x 0.67834) + (- -0.95395 -0.37023)))) + (+ (+ (* x x) + (+ -0.90304 x)) 0.76472))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 28 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 704.7446 + standardized fitness: 704.7446 + adjusted fitness: 0.0014 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023)))) + (+ (+ (* x x) + (+ -0.90304 x)) 0.76472))) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 28 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 704.7446 + standardized fitness: 704.7446 + adjusted fitness: 0.0014 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023)))) + (+ (+ (* x x) + (+ -0.90304 x)) 0.76472))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 47 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 563.5708 + standardized fitness: 563.5708 + adjusted fitness: 0.0018 +TREE: + (- (log 0.57168) + (- (+ (- (log (log 0.86501)) + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023)))) + (+ (+ (* x x) + (+ -0.90304 x)) 0.76472)))) + (* (* (/ x x) + (- -0.58537 x)) 0.05829)) x)) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 38 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 381.0239 + standardized fitness: 381.0239 + adjusted fitness: 0.0026 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (cos (log -0.81501))) + (+ (+ (* x x) + (sin (sin (sin (* (cos (log (+ x + (log 0.67167)))) + (log x)))))) + (cos (cos (/ (+ x 0.82549) + (exp 0.16894))))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 34 + depth: 9 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 335.9753 + standardized fitness: 335.9753 + adjusted fitness: 0.0030 +TREE: + (* (+ x -0.05480) + (* (+ (* (cos 0.05207) x) + (exp (/ (log 0.77846) + (* x x)))) + (+ (+ (* x x) + (sin (sin (/ (/ x + (- 0.59029 x)) 0.27315)))) + (cos (sin x))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 27 + depth: 9 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 276.3679 + standardized fitness: 276.3679 + adjusted fitness: 0.0036 +TREE: + (* x + (* (+ (* (cos 0.05207) x) + (cos (log -0.81501))) + (+ (* x x) + (cos (cos (/ (+ x 0.82549) + (+ (* (cos 0.05207) x) -0.05923))))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 21 + depth: 7 + hits: 10 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 10 + raw fitness: 210.4968 + standardized fitness: 210.4968 + adjusted fitness: 0.0047 +TREE: + (* (+ (* (cos 0.05207) x) + (cos (log -0.81501))) + (* x + (+ (* x x) + (cos (+ 0.85284 + (sin (log 0.64822))))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 39 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 76.0912 + standardized fitness: 76.0912 + adjusted fitness: 0.0130 +TREE: + (* (+ x -0.05480) + (* (+ x + (cos (log -0.81501))) + (+ (+ (* x x) + (sin (sin (sin (* (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023))) + (log x)))))) + (cos (* -0.15975 + (* (* x 0.67834) + (cos -0.92681))))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 17 + nodes: 39 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 76.0912 + standardized fitness: 76.0912 + adjusted fitness: 0.0130 +TREE: + (* (+ x -0.05480) + (* (+ x + (cos (log -0.81501))) + (+ (+ (* x x) + (sin (sin (sin (* (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023))) + (log x)))))) + (cos (* -0.15975 + (* (* x 0.67834) + (cos -0.92681))))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 17 + nodes: 39 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 76.0912 + standardized fitness: 76.0912 + adjusted fitness: 0.0130 +TREE: + (* (+ x -0.05480) + (* (+ x + (cos (log -0.81501))) + (+ (+ (* x x) + (sin (sin (sin (* (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023))) + (log x)))))) + (cos (* -0.15975 + (* (* x 0.67834) + (cos -0.92681))))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 17 + nodes: 39 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 76.0912 + standardized fitness: 76.0912 + adjusted fitness: 0.0130 +TREE: + (* (+ x -0.05480) + (* (+ x + (cos (log -0.81501))) + (+ (+ (* x x) + (sin (sin (sin (* (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023))) + (log x)))))) + (cos (* -0.15975 + (* (* x 0.67834) + (cos -0.92681))))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 17 + nodes: 39 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 76.0912 + standardized fitness: 76.0912 + adjusted fitness: 0.0130 +TREE: + (* (+ x -0.05480) + (* (+ x + (cos (log -0.81501))) + (+ (+ (* x x) + (sin (sin (sin (* (* -0.15975 + (* (* x 0.67834) + (- -0.95395 -0.37023))) + (log x)))))) + (cos (* -0.15975 + (* (* x 0.67834) + (cos -0.92681))))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 43 + depth: 14 + hits: 118 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 118 + raw fitness: 13.1587 + standardized fitness: 13.1587 + adjusted fitness: 0.0706 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (sin (cos (+ (/ (/ 0.32165 x) + (+ -0.66302 -0.58606)) + (cos -0.66045)))) + (* x x))) + (cos (sin (log x))))) + (sin (+ -0.41917 0.44344)))) x) + (cos 0.05207)) + (* x + (+ (* x x) + (cos -0.10339)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 43 + depth: 14 + hits: 72 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 72 + raw fitness: 11.2988 + standardized fitness: 11.2988 + adjusted fitness: 0.0813 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (sin (cos (+ (/ (/ 0.32165 x) + (+ -0.66302 -0.58606)) + (cos -0.66045)))) + (* x x))) + (cos (sin (log x))))) + (sin (+ -0.41917 0.44344)))) x) + (cos 0.05207)) + (* x + (+ (* x x) + (cos 0.05207)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 89 + depth: 14 + hits: 71 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 71 + raw fitness: 10.6604 + standardized fitness: 10.6604 + adjusted fitness: 0.0858 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (sin (* (cos 0.05207) x)) + (* x x))) + (cos (sin (log x))))) + (sin (+ -0.41917 0.44344)))) x) + (cos 0.05207)) + (* x + (+ (* x x) + (cos (* (* (- (/ (log 0.77846) + (cos (* (+ x -0.05480) + (* x + (+ (/ (log 0.77846) + (* x x)) x))))) + (exp (sin (* (cos (log (+ x + (log 0.67167)))) + (/ -0.18539 x))))) + (+ (+ (- (+ -0.47954 + (sin (cos (cos x)))) + (+ (sin -0.93135) + (log x))) -0.85520) + (log x))) + (sin (+ -0.41917 0.44344))))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 52 + depth: 14 + hits: 63 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 63 + raw fitness: 9.9142 + standardized fitness: 9.9142 + adjusted fitness: 0.0916 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (sin (cos (+ (/ (/ 0.32165 x) + (+ -0.66302 -0.58606)) + (cos -0.66045)))) + (* (/ x 0.86064) x))) + (cos (sin (+ (+ -0.32750 -0.85520) + (log x)))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (sin (+ -0.41917 0.44344)))) + (* x + (+ (* x x) + (cos -0.10339)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 46 + depth: 14 + hits: 95 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 95 + raw fitness: 5.8565 + standardized fitness: 5.8565 + adjusted fitness: 0.1458 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (sin (cos (+ (/ (/ 0.32165 x) + (+ -0.66302 -0.58606)) + (cos -0.66045)))) + (* x x))) + (cos (sin (log x))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (sin (+ -0.41917 0.44344)))) + (* x + (+ (* x x) + (cos 0.05207)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 26 + nodes: 46 + depth: 14 + hits: 95 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 95 + raw fitness: 5.8565 + standardized fitness: 5.8565 + adjusted fitness: 0.1458 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (sin (cos (+ (/ (/ 0.32165 x) + (+ -0.66302 -0.58606)) + (cos -0.66045)))) + (* x x))) + (cos (sin (log x))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (sin (+ -0.41917 0.44344)))) + (* x + (+ (* x x) + (cos 0.05207)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 28 + nodes: 79 + depth: 16 + hits: 93 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 93 + raw fitness: 2.6788 + standardized fitness: 2.6788 + adjusted fitness: 0.2718 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (cos -0.10339) + (* x x))) + (cos (sin (cos (log (+ x + (cos 0.05207)))))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (* (log (* (cos (/ (sin (cos (+ (* x x) + (/ (+ -0.41917 0.44344) + (/ x 0.86064))))) + (* (log (* (cos (/ (sin (* (cos 0.05207) x)) + (* x x))) + (cos (sin (log x))))) x))) + (cos (log -0.80382)))) + (sin (+ -0.41917 0.44344))))) + (* x + (+ (* x x) + (cos 0.05207)))) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 80 + depth: 16 + hits: 95 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 95 + raw fitness: 2.6289 + standardized fitness: 2.6289 + adjusted fitness: 0.2756 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (cos -0.10339) + (* x x))) + (cos (sin (cos (log (+ x + (cos 0.05207)))))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (* (log (* (cos (/ (sin (cos (+ (* x x) + (/ (+ -0.41917 0.44344) + (/ x 0.86064))))) + (* (log (* (cos (/ (sin (* (cos 0.05207) x)) + (cos (sin (log x))))) + (cos (sin (log x))))) x))) + (cos (log -0.80382)))) + (sin (+ -0.41917 0.44344))))) + (* x + (+ (* x x) + (cos 0.05207)))) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 43 + depth: 10 + hits: 139 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 139 + raw fitness: 2.5059 + standardized fitness: 2.5059 + adjusted fitness: 0.2852 +TREE: + (* (+ (* (cos (* (log (log x)) + (sin (+ -0.41917 0.44344)))) x) + (cos (sin (+ -0.41917 0.44344)))) + (* x + (+ (* x x) + (cos (* (log (* (cos (cos 0.05207)) + (cos (/ (/ 0.32165 x) + (+ -0.66302 -0.58606))))) + (sin (+ -0.41917 0.44344))))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 31 + nodes: 70 + depth: 13 + hits: 174 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 174 + raw fitness: 0.8331 + standardized fitness: 0.8331 + adjusted fitness: 0.5455 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (cos -0.10339) + (* x x))) + (cos (sin (cos (log (+ x + (cos 0.05207)))))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (* (* (cos (* (- -0.94279 + (exp (* -0.94009 0.61677))) x)) + (cos (sin (+ (+ -0.32750 + (cos (sin (cos -0.66045)))) + (+ (- x x) + (/ x 0.86064)))))) + (sin (+ -0.41917 0.44344))))) + (* x + (+ (* x x) + (cos (sin (+ -0.41917 0.44344)))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 32 + nodes: 72 + depth: 13 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.6478 + standardized fitness: 0.6478 + adjusted fitness: 0.6069 +TREE: + (* (+ (* (cos (* (log (* (cos (/ (cos -0.10339) + (* x x))) + (cos (sin (cos (log (+ x + (cos 0.05207)))))))) + (sin (+ -0.41917 0.44344)))) x) + (cos (* (* (cos (* (- -0.94279 + (exp (* -0.94009 0.61677))) + (sin (log x)))) + (cos (sin (+ (+ -0.32750 + (cos (sin (cos -0.66045)))) + (+ (- x x) + (/ x 0.86064)))))) + (sin (+ -0.41917 0.44344))))) + (* x + (+ (* x x) + (cos (sin (+ -0.41917 0.44344)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.prg new file mode 100644 index 0000000..d85fa64 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.15081, y = 0.17749 + x = 0.81918, y = 2.49024 + x = -2.46735, y = 25.66143 + x = -4.51157, y = 338.30749 + x = -1.76679, y = 5.58362 + x = -1.97897, y = 9.52467 + x = -3.17034, y = 76.03948 + x = 4.62619, y = 583.06578 + x = -3.77814, y = 160.32258 + x = 2.31570, y = 48.85215 + x = -4.55088, y = 350.83505 + x = -1.46856, y = 2.17217 + x = -4.12390, y = 231.97117 + x = 4.55073, y = 548.37022 + x = -1.57052, y = 3.10602 + x = 3.15232, y = 143.16130 + x = 2.28891, y = 46.96785 + x = -1.40253, y = 1.67512 + x = 4.55704, y = 551.21198 + x = -1.58879, y = 3.29682 + x = -3.72468, y = 150.94131 + x = -3.86513, y = 176.51301 + x = -2.83733, y = 47.18125 + x = 2.81426, y = 95.75041 + x = 3.52567, y = 214.29468 + x = -0.74089, y = -0.29735 + x = -2.82591, y = 46.36528 + x = -3.72882, y = 151.65404 + x = -1.00712, y = 0.01444 + x = 2.96773, y = 115.48428 + x = -4.85750, y = 460.86129 + x = 1.61741, y = 15.30813 + x = 0.73245, y = 1.94972 + x = 2.19403, y = 40.74146 + x = -4.89841, y = 477.29290 + x = 4.14202, y = 386.70089 + x = 1.94016, y = 27.17675 + x = -4.79413, y = 436.25131 + x = -4.35763, y = 292.46520 + x = 1.15576, y = 5.81964 + x = -4.28034, y = 271.28862 + x = 4.91490, y = 731.31957 + x = -4.60289, y = 367.93566 + x = -3.65475, y = 139.30012 + x = -1.19634, y = 0.57106 + x = 3.64564, y = 242.03091 + x = -2.89800, y = 51.69510 + x = 2.06049, y = 33.07929 + x = 4.94414, y = 747.78037 + x = -0.57695, y = -0.32533 + x = -1.82474, y = 6.51595 + x = 1.11822, y = 5.33040 + x = -3.64023, y = 136.96915 + x = -0.87955, y = -0.18790 + x = 1.20622, y = 6.53311 + x = 3.53340, y = 216.00452 + x = -4.91328, y = 483.37313 + x = 0.33862, y = 0.50526 + x = -4.61316, y = 371.38468 + x = -0.90881, y = -0.15133 + x = 1.08087, y = 4.87682 + x = -3.37622, y = 99.47112 + x = 3.98382, y = 334.96505 + x = 0.06610, y = 0.07078 + x = 1.59604, y = 14.69789 + x = -4.46578, y = 324.14698 + x = -1.86568, y = 7.23672 + x = 4.53086, y = 539.49717 + x = 0.74707, y = 2.03361 + x = -0.21615, y = -0.17735 + x = 1.05032, y = 4.52921 + x = -4.77158, y = 427.73827 + x = -1.34667, y = 1.31351 + x = 0.13399, y = 0.15467 + x = -4.76405, y = 424.92155 + x = 0.15710, y = 0.18627 + x = 4.77510, y = 656.36598 + x = 3.04222, y = 126.10986 + x = -3.39196, y = 101.46192 + x = 4.99227, y = 775.48246 + x = -0.82761, y = -0.24039 + x = 1.83547, y = 22.73789 + x = -4.11567, y = 230.02900 + x = 4.90169, y = 723.97595 + x = -3.11314, y = 70.33497 + x = 3.51872, y = 212.76515 + x = 2.63359, y = 75.94040 + x = -4.33365, y = 285.76668 + x = -4.40201, y = 305.16984 + x = 4.56737, y = 555.88520 + x = 1.00770, y = 4.07759 + x = 2.40930, y = 55.89428 + x = -0.54119, y = -0.32103 + x = 0.85852, y = 2.77160 + x = -4.89457, y = 475.73213 + x = -4.50875, y = 337.42492 + x = 1.26157, y = 7.39407 + x = 0.26312, y = 0.35536 + x = -3.89070, y = 181.49730 + x = 3.64656, y = 242.25408 + x = 3.87054, y = 301.26953 + x = -0.94022, y = -0.10590 + x = 0.45245, y = 0.79169 + x = 4.95187, y = 752.17574 + x = -4.74934, y = 419.46211 + x = 1.33979, y = 8.76187 + x = 0.23389, y = 0.30438 + x = -3.54192, y = 121.95102 + x = -2.76641, y = 42.28406 + x = 2.68750, y = 81.48791 + x = -4.10019, y = 226.40973 + x = 4.42037, y = 492.13218 + x = -0.25937, y = -0.20502 + x = -4.18053, y = 245.67376 + x = 3.08349, y = 132.30977 + x = 3.67157, y = 248.36871 + x = 2.16498, y = 38.96883 + x = -1.87470, y = 7.40280 + x = -0.03933, y = -0.03784 + x = 1.10479, y = 5.16358 + x = -0.72735, y = -0.30323 + x = 2.87120, y = 102.74500 + x = 3.42156, y = 192.24044 + x = 2.10051, y = 35.24735 + x = 0.91331, y = 3.20503 + x = -3.00946, y = 60.81751 + x = -0.22403, y = -0.18257 + x = -1.29854, y = 1.04135 + x = -0.11667, y = -0.10446 + x = -1.10383, y = 0.25426 + x = 4.92322, y = 735.97549 + x = 3.31701, y = 171.87212 + x = 0.80863, y = 2.41881 + x = -1.07946, y = 0.18573 + x = 4.09247, y = 369.88732 + x = -0.24798, y = -0.19795 + x = -2.90516, y = 52.24805 + x = -4.93514, y = 492.41605 + x = -3.18180, y = 77.22245 + x = -1.78471, y = 5.86131 + x = -3.64626, y = 137.93381 + x = -0.49172, y = -0.31036 + x = 0.70568, y = 1.80306 + x = -0.50680, y = -0.31415 + x = 0.29473, y = 0.41474 + x = 3.13650, y = 140.60823 + x = 3.98774, y = 336.17959 + x = 2.35830, y = 51.96669 + x = 4.94521, y = 748.38907 + x = 3.11489, y = 137.17905 + x = 0.71528, y = 1.85460 + x = -2.43989, y = 24.42732 + x = -4.62021, y = 373.76645 + x = 2.21313, y = 41.94059 + x = 3.72334, y = 261.39398 + x = -4.44647, y = 318.31016 + x = 3.25115, y = 159.91081 + x = -3.46809, y = 111.51064 + x = -4.14060, y = 235.95139 + x = 0.49864, y = 0.93310 + x = -0.75506, y = -0.29039 + x = 0.16902, y = 0.20324 + x = 4.63988, y = 589.53464 + x = 4.01830, y = 345.76482 + x = 1.33376, y = 8.64988 + x = 1.39152, y = 9.77175 + x = -1.28531, y = 0.97251 + x = -4.75257, y = 420.65782 + x = 0.52474, y = 1.02041 + x = 4.94700, y = 749.40347 + x = 4.68383, y = 610.66459 + x = 4.80668, y = 672.76853 + x = -1.81991, y = 6.43428 + x = 1.84578, y = 23.14815 + x = -4.61049, y = 370.48517 + x = -3.28746, y = 88.79115 + x = 2.49141, y = 62.69132 + x = -3.79157, y = 162.74609 + x = 3.37717, y = 183.38036 + x = 0.35978, y = 0.55255 + x = -1.26061, y = 0.85061 + x = -1.75594, y = 5.42018 + x = -2.15794, y = 14.13475 + x = 4.38468, y = 477.52535 + x = 4.65123, y = 594.93460 + x = -0.24580, y = -0.19658 + x = 3.67713, y = 249.74358 + x = 1.79033, y = 21.00784 + x = 2.58678, y = 71.36233 + x = -2.29906, y = 18.77287 + x = -3.96267, y = 196.09277 + x = -3.15259, y = 74.23311 + x = -0.45988, y = -0.30092 + x = -3.12880, y = 71.86350 + x = -1.46854, y = 2.17198 + x = -3.45294, y = 109.45433 + x = -3.67181, y = 142.07559 + x = 3.85990, y = 298.24066 + x = -0.89631, y = -0.16760 + x = -1.41781, y = 1.78316 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.stt new file mode 100644 index 0000000..3356430 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.stt @@ -0,0 +1,34 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.793 3.641 23 5 19 5 0.0000 0.0001 0.0000 12.793 3.641 23 5 19 5 +1 0 0.0000 0.0001 0.0000 11.983 3.851 40 9 8 4 0.0000 0.0001 0.0000 12.388 3.746 23 5 19 5 +2 0 0.0000 0.0001 0.0000 12.018 4.016 6 3 37 7 0.0000 0.0001 0.0000 12.264 3.836 23 5 19 5 +3 0 0.0000 0.0001 0.0000 12.220 4.137 10 4 16 8 0.0000 0.0001 0.0000 12.253 3.911 23 5 19 5 +4 0 0.0000 0.0001 0.0000 12.343 4.293 8 4 13 6 0.0000 0.0001 0.0000 12.271 3.987 23 5 19 5 +5 0 0.0000 0.0001 0.0000 12.588 4.362 26 5 27 12 0.0000 0.0001 0.0000 12.324 4.050 26 5 27 12 +6 0 0.0000 0.0001 0.0000 12.560 4.372 28 7 11 5 0.0000 0.0001 0.0000 12.358 4.096 28 7 27 12 +7 0 0.0000 0.0001 0.0000 13.039 4.533 31 8 32 9 0.0000 0.0001 0.0000 12.443 4.151 31 8 32 9 +8 0 0.0000 0.0001 0.0000 13.432 4.634 30 8 18 9 0.0000 0.0001 0.0000 12.553 4.204 31 8 32 9 +9 0 0.0000 0.0003 0.0000 14.314 4.842 29 6 31 7 0.0000 0.0003 0.0000 12.729 4.268 29 6 32 9 +10 0 0.0000 0.0014 0.0000 15.457 5.099 28 6 35 10 0.0000 0.0014 0.0000 12.977 4.344 28 6 32 9 +11 0 0.0000 0.0014 0.0000 16.449 5.337 28 6 12 4 0.0000 0.0014 0.0000 13.266 4.426 28 6 12 4 +12 0 0.0001 0.0018 0.0000 19.264 5.825 47 10 37 12 0.0000 0.0018 0.0000 13.728 4.534 47 10 12 4 +13 0 0.0001 0.0026 0.0000 25.590 7.085 38 12 34 9 0.0000 0.0026 0.0000 14.575 4.716 38 12 12 4 +14 0 0.0003 0.0030 0.0000 31.295 8.256 34 9 25 10 0.0001 0.0030 0.0000 15.690 4.952 34 9 12 4 +15 0 0.0004 0.0036 0.0000 34.247 8.992 27 9 47 12 0.0001 0.0036 0.0000 16.849 5.205 27 9 12 4 +16 0 0.0004 0.0047 0.0000 36.686 9.539 21 7 56 15 0.0001 0.0047 0.0000 18.016 5.460 21 7 12 4 +17 0 0.0005 0.0130 0.0000 38.524 9.948 39 11 78 13 0.0001 0.0130 0.0000 19.156 5.709 39 11 12 4 +18 0 0.0006 0.0076 0.0000 40.630 10.427 37 11 53 10 0.0002 0.0130 0.0000 20.286 5.957 39 11 12 4 +19 0 0.0008 0.0088 0.0000 42.946 10.840 16 6 86 11 0.0002 0.0130 0.0000 21.419 6.201 39 11 12 4 +20 0 0.0009 0.0062 0.0000 44.912 11.234 43 12 29 13 0.0002 0.0130 0.0000 22.538 6.441 39 11 12 4 +21 0 0.0010 0.0096 0.0000 47.194 11.713 28 7 34 12 0.0003 0.0130 0.0000 23.658 6.681 39 11 12 4 +22 0 0.0012 0.0706 0.0000 48.636 11.894 43 14 34 12 0.0003 0.0706 0.0000 24.744 6.907 43 14 12 4 +23 0 0.0019 0.0813 0.0000 50.006 12.103 43 14 76 17 0.0004 0.0813 0.0000 25.797 7.124 43 14 12 4 +24 0 0.0100 0.0858 0.0000 48.007 12.082 89 14 93 17 0.0007 0.0858 0.0000 26.685 7.322 89 14 12 4 +25 0 0.0290 0.0916 0.0000 42.405 11.988 52 14 55 17 0.0018 0.0916 0.0000 27.290 7.502 52 14 12 4 +26 0 0.0328 0.1458 0.0000 41.245 11.823 46 14 42 9 0.0030 0.1458 0.0000 27.807 7.662 46 14 12 4 +27 0 0.0335 0.1457 0.0000 42.019 11.844 49 16 48 11 0.0041 0.1458 0.0000 28.314 7.811 46 14 12 4 +28 0 0.0341 0.2718 0.0000 43.211 12.037 79 16 65 16 0.0051 0.2718 0.0000 28.828 7.957 79 16 12 4 +29 0 0.0369 0.2756 0.0000 45.152 12.318 80 16 27 7 0.0062 0.2756 0.0000 29.372 8.102 80 16 12 4 +30 0 0.0396 0.2852 0.0000 47.063 12.572 43 10 81 17 0.0072 0.2852 0.0000 29.943 8.246 43 10 12 4 +31 0 0.0475 0.5455 0.0000 49.578 12.816 70 13 67 17 0.0085 0.5455 0.0000 30.556 8.389 70 13 12 4 +32 0 0.0643 0.6069 0.0000 53.262 13.181 72 13 22 7 0.0102 0.6069 0.0000 31.244 8.534 72 13 12 4 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.sys new file mode 100644 index 0000000..8ab1a9b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_2/regress.sys @@ -0,0 +1,149 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 426. +creating initial population(s): + 5652 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 112071379 + freed: 111429715 + not freed: 641664 + max allocated: 6745448 + malloc'ed blocks: 483040 + realloc'ed blocks: 10 + free'ed blocks: 482944 + +------- time ------- + overall: 3s wall + evaluation: 3s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 25920 + freed: 25920 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.bst new file mode 100644 index 0000000..0bb1dbe --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.bst @@ -0,0 +1,23 @@ +=== BEST-OF-RUN === + generation: 48 + nodes: 18 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 314.9653 + standardized fitness: 314.9653 + adjusted fitness: 0.0032 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (- -0.22366 + (+ x + (cos -0.45183))) -0.63993) + (* x x))) +TREE-equ: +y = ((-0.63993 - (x * x)) * (((-0.22366 - (x + cos(-0.45183))) - -0.63993) - (x * x))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.fn new file mode 100644 index 0000000..668842a --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.fn @@ -0,0 +1,2 @@ + +y = ((-0.63993 - (x * x)) * (((-0.22366 - (x + cos(-0.45183))) - -0.63993) - (x * x))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.his new file mode 100644 index 0000000..3bcf1e2 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.his @@ -0,0 +1,1162 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 4 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 5 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 6 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 7 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7618.1902 + standardized fitness: 7618.1902 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log x) + (- -0.25939 -0.51266))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 24 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5380.9051 + standardized fitness: 5380.9051 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin x)))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 11 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 12 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 13 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 14 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 15 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos 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raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current generation: 20 + generation: 9 + nodes: 25 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5309.3566 + standardized fitness: 5309.3566 + adjusted fitness: 0.0002 +TREE: + (* (cos (sin (/ (sin (cos (exp (sin (log 0.25930))))) x))) + (+ (/ (exp (- 0.39509 x)) 0.38787) + (- (exp (/ x 0.73915)) + (cos x)))) +=== BEST-OF-RUN === + current 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adjusted fitness: 0.0003 +TREE: + (+ (- (* (* (cos x) + (exp (/ x 0.73915))) + (cos x)) + (/ (sin -0.92788) + (- (cos (exp (/ x 0.73915))) + (+ (exp (/ (- (- (- (/ (/ x 0.73915) -0.59623) + (* (cos 0.19802) 0.76970)) + (+ x x)) -0.63993) 0.73915)) x)))) + (+ (exp (/ x 0.73915)) + (- x + (/ (sin -0.92788) + (exp (/ x 0.73915)))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 37 + nodes: 56 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 3934.4102 + standardized fitness: 3934.4102 + adjusted fitness: 0.0003 +TREE: + (+ (- (* (* (cos x) + (exp (/ x 0.73915))) + (cos x)) + (/ (sin -0.92788) + (- (cos (exp (/ x 0.73915))) + (+ (exp (/ (- (- (- (/ (/ x 0.73915) -0.59623) + (* (cos 0.19802) 0.76970)) + (+ x x)) -0.63993) 0.73915)) x)))) + (+ (exp (/ x 0.73915)) + (- x + (/ (sin -0.92788) + (exp (/ x 0.73915)))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 40 + nodes: 90 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + 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(/ (+ (* x x) + (sin -0.56167)) + (cos (sin 0.52331))) + (cos (cos (sin 0.16411)))))) + (cos x))) + (* (cos (log (cos (exp (log x))))) + (- (- (exp (sin (exp (/ x 0.73915)))) + (cos x)) + (log (- -0.22366 + (+ x + (cos -0.45183)))))))) + (/ x + (cos (- (exp (/ x 0.73915)) + (- (exp -0.81198) + (cos x)))))))) + (/ x 0.73915)) + (* x x))) +=== BEST-OF-RUN === + current generation: 42 + generation: 42 + nodes: 86 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2687.2871 + standardized fitness: 2687.2871 + adjusted fitness: 0.0004 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (cos (+ (+ (sin 0.04274) + (cos -0.07247)) + (* (cos (/ (* -0.77179 + (* (* (/ (sin -0.92788) + (exp x)) + (exp (* (/ (+ (* x x) + (sin -0.56167)) + (cos (sin 0.52331))) + (cos (cos (sin 0.16411)))))) + (cos x))) + (* (/ x + (exp x)) + (- (- (exp (sin (exp (/ x 0.73915)))) + (cos x)) + (log (- -0.22366 + (+ x + (cos -0.45183)))))))) + (/ x + (cos (- (exp (/ x 0.73915)) + (- (exp -0.81198) + (cos x)))))))) + (/ x 0.73915)) + (* x x))) +=== BEST-OF-RUN === + current generation: 43 + generation: 43 + nodes: 44 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2491.9469 + standardized fitness: 2491.9469 + adjusted fitness: 0.0004 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (cos (+ (+ (sin 0.04274) + (cos -0.07247)) + (* (cos (/ (- x + (cos x)) + (/ x 0.73915))) + (/ x + (cos (- (exp (/ x 0.73915)) + (- (exp -0.81198) + (cos x)))))))) + (/ x 0.73915)) + (* x x))) +=== BEST-OF-RUN === + current generation: 44 + generation: 44 + nodes: 26 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2230.4364 + standardized fitness: 2230.4364 + adjusted fitness: 0.0004 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (cos (+ (+ (/ x 0.73915) + (cos -0.07247)) + (cos (+ x x)))) + (/ x 0.73915)) + (* x x))) +=== BEST-OF-RUN === + current generation: 45 + generation: 45 + nodes: 22 + depth: 7 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 1875.3321 + standardized fitness: 1875.3321 + adjusted fitness: 0.0005 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (cos (+ (+ (sin 0.04274) x) + (cos 0.73915))) + (/ x 0.73915)) + (* x x))) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 35 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1252.6424 + standardized fitness: 1252.6424 + adjusted fitness: 0.0008 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (cos (log (+ (exp (sin -0.92788)) + (- (- (sin (* x 0.90518)) x) + (/ (sin (log x)) + (sin 0.04274)))))) + (/ x 0.73915)) + (* (- x 0.30954) x))) +=== BEST-OF-RUN === + current generation: 47 + generation: 47 + nodes: 34 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1052.8706 + standardized fitness: 1052.8706 + adjusted fitness: 0.0009 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (cos (log (+ (exp (sin -0.92788)) + (- (- (sin (* x 0.90518)) x) + (/ (sin 0.76088) + (sin 0.04274)))))) + (/ x 0.73915)) + (* (- x 0.30954) x))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 18 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 314.9653 + standardized fitness: 314.9653 + adjusted fitness: 0.0032 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (- -0.22366 + (+ x + (cos -0.45183))) -0.63993) + (* x x))) +=== BEST-OF-RUN === + current generation: 49 + generation: 48 + nodes: 18 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 314.9653 + standardized fitness: 314.9653 + adjusted fitness: 0.0032 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (- -0.22366 + (+ x + (cos -0.45183))) -0.63993) + (* x x))) +=== BEST-OF-RUN === + current generation: 50 + generation: 48 + nodes: 18 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 314.9653 + standardized fitness: 314.9653 + adjusted fitness: 0.0032 +TREE: + (* (- -0.63993 + (* x x)) + (- (- (- -0.22366 + (+ x + (cos -0.45183))) -0.63993) + (* x x))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.prg new file mode 100644 index 0000000..e0dd8ba --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 2.18020, y = 39.88997 + x = -4.11295, y = 229.39090 + x = 0.81415, y = 2.45602 + x = 4.96684, y = 760.74943 + x = 4.51681, y = 533.29125 + x = -2.82514, y = 46.31059 + x = 4.75624, y = 646.72209 + x = -3.24859, y = 84.39376 + x = -3.78119, y = 160.87025 + x = 0.24829, y = 0.32904 + x = 4.78417, y = 661.04633 + x = 3.62541, y = 237.17338 + x = -3.68828, y = 144.79403 + x = -3.72933, y = 151.74185 + x = -2.36280, y = 21.19685 + x = -2.07271, y = 11.77537 + x = -4.89085, y = 474.22460 + x = -0.82879, y = -0.23936 + x = 0.16769, y = 0.20132 + x = -3.82837, y = 169.52785 + x = 0.49851, y = 0.93267 + x = 4.85308, y = 697.41978 + x = 4.12339, y = 380.31141 + x = -2.59352, y = 31.93159 + x = -3.16512, y = 75.50506 + x = 1.57648, y = 14.15658 + x = -3.68924, y = 144.95470 + x = -1.95322, y = 8.96484 + x = 2.37050, y = 52.88675 + x = -3.00458, y = 60.39476 + x = 1.28568, y = 7.79613 + x = 1.86129, y = 23.77618 + x = -0.41401, y = -0.28419 + x = 3.20894, y = 152.58360 + x = 2.34802, y = 51.20167 + x = -2.53710, y = 29.00221 + x = 3.98445, y = 335.15852 + x = -3.39991, y = 102.47767 + x = -4.80352, y = 439.83564 + x = 0.64950, y = 1.52332 + x = 3.02074, y = 122.97229 + x = 0.41636, y = 0.69195 + x = 1.46924, y = 11.45941 + x = -0.20663, y = -0.17093 + x = -4.83535, y = 452.14278 + x = -3.43371, y = 106.88439 + x = 4.62257, y = 581.36684 + x = 2.98189, y = 117.44943 + x = 1.79988, y = 21.36523 + x = -4.09680, y = 225.62170 + x = -2.20374, y = 15.53551 + x = 2.17167, y = 39.37164 + x = 4.74632, y = 641.68600 + x = 1.90468, y = 25.60314 + x = -2.31974, y = 19.53562 + x = -4.68110, y = 394.82131 + x = 1.30106, y = 8.06159 + x = 2.60521, y = 73.13967 + x = -2.38118, y = 21.93665 + x = 2.05391, y = 32.73300 + x = -1.80959, y = 6.26237 + x = 3.15615, y = 143.78422 + x = -3.44507, y = 108.39640 + x = 0.56931, y = 1.18299 + x = 2.22755, y = 42.86369 + x = -0.63219, y = -0.32546 + x = -2.84384, y = 47.65041 + x = 1.51835, y = 12.63905 + x = -3.89399, y = 182.14515 + x = -3.92909, y = 189.17683 + x = -1.69528, y = 4.56623 + x = -2.87274, y = 49.77828 + x = 2.37132, y = 52.94893 + x = -0.73551, y = -0.29977 + x = 3.37537, y = 183.02754 + x = 3.32685, y = 173.71428 + x = -4.89324, y = 475.19366 + x = -2.78129, y = 43.27858 + x = 4.72622, y = 631.58120 + x = -3.48403, y = 113.70544 + x = -4.72457, y = 410.39042 + x = -1.29446, y = 1.01984 + x = -4.57203, y = 357.71640 + x = -4.68340, y = 395.63614 + x = 3.80501, y = 282.98730 + x = 3.12953, y = 139.49495 + x = 0.30636, y = 0.43778 + x = 4.01668, y = 345.25188 + x = -4.01861, y = 208.03069 + x = -2.01979, y = 10.46257 + x = -4.69327, y = 399.13328 + x = -2.53391, y = 28.84255 + x = -4.50592, y = 336.53626 + x = 4.12557, y = 381.05635 + x = -2.65522, y = 35.38015 + x = 0.89348, y = 3.04233 + x = 3.04504, y = 126.52655 + x = -2.79525, y = 44.22707 + x = 1.41800, y = 10.32294 + x = -3.16219, y = 75.20602 + x = -3.54047, y = 121.73890 + x = 2.40387, y = 55.46524 + x = 3.25567, y = 160.71070 + x = 0.28391, y = 0.39390 + x = -4.37223, y = 296.59803 + x = 4.09072, y = 369.30554 + x = 1.74370, y = 19.33054 + x = 4.42972, y = 496.01372 + x = 3.09967, y = 134.80174 + x = -0.44926, y = -0.29737 + x = 0.01254, y = 0.01270 + x = 2.28438, y = 46.65490 + x = 1.62383, y = 15.49510 + x = 4.63861, y = 588.92903 + x = 1.74717, y = 19.45168 + x = -4.27568, y = 270.05120 + x = 2.66207, y = 78.83389 + x = -2.57064, y = 30.71824 + x = -1.77548, y = 5.71707 + x = -3.66593, y = 141.11439 + x = 1.32277, y = 8.44844 + x = 4.95141, y = 751.91635 + x = -4.89964, y = 477.79650 + x = 4.26820, y = 432.12062 + x = 4.61137, y = 576.12687 + x = 0.90085, y = 3.10206 + x = -1.12841, y = 0.32941 + x = -2.91259, y = 52.82668 + x = -1.36329, y = 1.41573 + x = 4.28465, y = 438.32514 + x = -3.41686, y = 104.67012 + x = -4.32296, y = 282.81888 + x = -0.88096, y = -0.18626 + x = 0.17548, y = 0.21263 + x = 1.50343, y = 12.27090 + x = -2.00895, y = 10.20735 + x = 2.08172, y = 34.21615 + x = -4.21064, y = 253.20114 + x = -1.43058, y = 1.87659 + x = 3.08069, y = 131.88124 + x = -4.53254, y = 344.94912 + x = -2.12301, y = 13.12985 + x = 0.79216, y = 2.31054 + x = 4.64732, y = 593.07138 + x = 1.65745, y = 16.50453 + x = -4.64468, y = 382.12366 + x = -2.63426, y = 34.17943 + x = -3.77412, y = 159.60220 + x = 4.51420, y = 532.14377 + x = 1.44393, y = 10.88631 + x = -2.97811, y = 58.13922 + x = 0.95763, y = 3.59384 + x = 3.56804, y = 223.79894 + x = 2.13335, y = 37.10717 + x = -4.74533, y = 417.98523 + x = -4.21751, y = 254.94138 + x = -1.71517, y = 4.83523 + x = -1.91981, y = 8.27420 + x = 3.78048, y = 276.36533 + x = 2.63672, y = 76.25503 + x = -2.99100, y = 59.22946 + x = 0.95434, y = 3.56379 + x = 0.86030, y = 2.78489 + x = -4.98102, y = 511.81111 + x = -0.91672, y = -0.14050 + x = -2.86445, y = 49.16091 + x = -3.50778, y = 117.03670 + x = 1.97650, y = 28.86574 + x = -2.01884, y = 10.44016 + x = 1.39185, y = 9.77836 + x = 3.35858, y = 179.76375 + x = 1.43619, y = 10.71565 + x = -2.08483, y = 12.09219 + x = 1.78059, y = 20.64867 + x = 4.31218, y = 448.86101 + x = -4.63486, y = 378.75420 + x = -3.61663, y = 133.24408 + x = -2.03300, y = 10.77987 + x = 4.01353, y = 344.25615 + x = 3.82888, y = 289.54686 + x = -2.38397, y = 22.05062 + x = -4.20861, y = 252.68725 + x = -1.69307, y = 4.53696 + x = 0.99999, y = 3.99991 + x = 2.27564, y = 46.05626 + x = 0.62880, y = 1.42915 + x = -0.18326, y = -0.15470 + x = -0.89994, y = -0.16298 + x = -3.90780, y = 184.88789 + x = -0.63212, y = -0.32546 + x = -3.50117, y = 116.10184 + x = -4.89479, y = 475.82104 + x = 2.80820, y = 95.02865 + x = 2.17757, y = 39.73002 + x = 4.72211, y = 629.52877 + x = -0.96873, y = -0.05871 + x = 4.96183, y = 757.87135 + x = 4.01156, y = 343.63413 + x = -4.66486, y = 389.12131 + x = 1.29231, y = 7.90967 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.stt new file mode 100644 index 0000000..9047d27 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.946 3.632 7 3 37 6 0.0000 0.0001 0.0000 12.946 3.632 7 3 37 6 +1 0 0.0000 0.0001 0.0000 12.316 3.841 7 5 8 4 0.0000 0.0001 0.0000 12.631 3.737 7 3 37 6 +2 0 0.0000 0.0001 0.0000 12.276 3.985 10 3 33 8 0.0000 0.0001 0.0000 12.513 3.819 7 3 37 6 +3 0 0.0000 0.0001 0.0000 12.127 4.095 9 5 8 5 0.0000 0.0001 0.0000 12.416 3.888 7 3 37 6 +4 0 0.0000 0.0001 0.0000 12.163 4.167 17 5 5 4 0.0000 0.0001 0.0000 12.366 3.944 7 3 37 6 +5 0 0.0000 0.0001 0.0000 12.064 4.222 17 5 14 6 0.0000 0.0001 0.0000 12.315 3.990 7 3 37 6 +6 0 0.0000 0.0001 0.0000 12.024 4.239 25 7 8 5 0.0000 0.0001 0.0000 12.274 4.026 7 3 37 6 +7 0 0.0000 0.0001 0.0000 12.412 4.402 7 3 29 6 0.0000 0.0001 0.0000 12.291 4.073 7 3 37 6 +8 0 0.0000 0.0002 0.0000 12.745 4.529 24 8 17 7 0.0000 0.0002 0.0000 12.341 4.123 24 8 37 6 +9 0 0.0000 0.0002 0.0000 12.673 4.571 25 9 8 4 0.0000 0.0002 0.0000 12.375 4.168 25 9 37 6 +10 0 0.0000 0.0001 0.0000 12.602 4.606 19 5 4 2 0.0000 0.0002 0.0000 12.395 4.208 25 9 37 6 +11 0 0.0000 0.0001 0.0000 13.060 4.774 18 5 14 6 0.0000 0.0002 0.0000 12.451 4.255 25 9 37 6 +12 0 0.0000 0.0001 0.0000 13.381 4.881 10 3 12 6 0.0000 0.0002 0.0000 12.522 4.303 25 9 37 6 +13 0 0.0000 0.0001 0.0000 13.793 4.972 44 9 21 6 0.0000 0.0002 0.0000 12.613 4.351 25 9 37 6 +14 0 0.0000 0.0001 0.0000 14.171 5.089 36 8 59 13 0.0000 0.0002 0.0000 12.717 4.400 25 9 37 6 +15 0 0.0000 0.0001 0.0000 14.279 5.138 48 14 45 11 0.0000 0.0002 0.0000 12.814 4.446 25 9 37 6 +16 0 0.0000 0.0001 0.0000 14.509 5.231 37 9 11 5 0.0000 0.0002 0.0000 12.914 4.492 25 9 37 6 +17 0 0.0000 0.0001 0.0000 14.621 5.330 37 9 17 8 0.0000 0.0002 0.0000 13.009 4.539 25 9 37 6 +18 0 0.0000 0.0001 0.0000 15.043 5.440 30 8 18 5 0.0000 0.0002 0.0000 13.116 4.586 25 9 37 6 +19 0 0.0000 0.0001 0.0000 15.611 5.599 8 3 18 9 0.0000 0.0002 0.0000 13.241 4.637 25 9 37 6 +20 0 0.0000 0.0001 0.0000 15.958 5.631 41 8 46 10 0.0000 0.0002 0.0000 13.370 4.684 25 9 37 6 +21 0 0.0000 0.0001 0.0000 16.971 5.879 6 4 17 8 0.0000 0.0002 0.0000 13.534 4.739 25 9 37 6 +22 0 0.0000 0.0001 0.0000 17.641 6.018 42 10 7 5 0.0000 0.0002 0.0000 13.712 4.794 25 9 37 6 +23 0 0.0000 0.0001 0.0000 18.816 6.270 56 12 15 8 0.0000 0.0002 0.0000 13.925 4.856 25 9 37 6 +24 0 0.0000 0.0001 0.0000 20.110 6.567 55 12 29 8 0.0000 0.0002 0.0000 14.172 4.924 25 9 37 6 +25 0 0.0000 0.0001 0.0000 21.376 6.862 9 3 20 8 0.0000 0.0002 0.0000 14.449 4.999 25 9 37 6 +26 0 0.0000 0.0002 0.0000 23.356 7.227 29 6 36 12 0.0000 0.0002 0.0000 14.779 5.081 25 9 37 6 +27 0 0.0000 0.0002 0.0000 24.993 7.495 32 8 84 16 0.0000 0.0002 0.0000 15.144 5.167 32 8 37 6 +28 0 0.0000 0.0002 0.0000 26.723 7.821 32 8 39 11 0.0000 0.0002 0.0000 15.543 5.259 32 8 37 6 +29 0 0.0000 0.0002 0.0000 28.360 8.184 69 14 67 14 0.0000 0.0002 0.0000 15.971 5.356 32 8 37 6 +30 0 0.0000 0.0002 0.0000 30.039 8.451 46 11 71 14 0.0000 0.0002 0.0000 16.424 5.456 32 8 37 6 +31 0 0.0000 0.0002 0.0000 31.847 8.772 28 6 43 10 0.0000 0.0002 0.0000 16.906 5.560 32 8 37 6 +32 0 0.0000 0.0002 0.0000 33.732 9.049 35 6 22 9 0.0000 0.0002 0.0000 17.416 5.666 32 8 37 6 +33 0 0.0001 0.0002 0.0000 36.234 9.365 31 10 47 12 0.0000 0.0002 0.0000 17.970 5.774 32 8 37 6 +34 0 0.0001 0.0002 0.0000 38.520 9.671 87 14 11 4 0.0000 0.0002 0.0000 18.557 5.886 32 8 37 6 +35 0 0.0001 0.0002 0.0000 42.157 10.115 37 9 70 16 0.0000 0.0002 0.0000 19.212 6.003 37 9 37 6 +36 0 0.0001 0.0002 0.0000 46.076 10.597 47 10 41 11 0.0000 0.0002 0.0000 19.938 6.127 47 10 37 6 +37 0 0.0001 0.0003 0.0000 49.736 11.009 56 12 53 13 0.0000 0.0003 0.0000 20.723 6.256 56 12 37 6 +38 0 0.0001 0.0003 0.0000 53.080 11.284 50 12 98 14 0.0000 0.0003 0.0000 21.552 6.385 56 12 37 6 +39 0 0.0001 0.0003 0.0000 54.641 11.355 57 13 82 16 0.0000 0.0003 0.0000 22.380 6.509 56 12 37 6 +40 0 0.0001 0.0004 0.0000 56.734 11.461 90 16 16 6 0.0000 0.0004 0.0000 23.217 6.630 90 16 37 6 +41 0 0.0001 0.0004 0.0000 59.675 11.726 88 16 112 17 0.0000 0.0004 0.0000 24.085 6.751 90 16 37 6 +42 0 0.0001 0.0004 0.0000 62.320 12.050 86 16 34 12 0.0000 0.0004 0.0000 24.975 6.874 86 16 37 6 +43 0 0.0001 0.0004 0.0000 64.394 12.161 44 11 60 12 0.0000 0.0004 0.0000 25.871 6.995 44 11 37 6 +44 0 0.0001 0.0004 0.0000 66.645 12.305 26 7 53 15 0.0000 0.0004 0.0000 26.777 7.113 26 7 37 6 +45 0 0.0001 0.0005 0.0000 69.179 12.511 22 7 156 16 0.0001 0.0005 0.0000 27.698 7.230 22 7 37 6 +46 0 0.0001 0.0008 0.0000 70.669 12.573 35 10 74 14 0.0001 0.0008 0.0000 28.613 7.344 35 10 37 6 +47 0 0.0001 0.0009 0.0000 72.989 12.752 34 10 36 8 0.0001 0.0009 0.0000 29.537 7.456 34 10 37 6 +48 0 0.0002 0.0032 0.0000 74.328 12.936 18 6 90 17 0.0001 0.0032 0.0000 30.451 7.568 18 6 37 6 +49 0 0.0002 0.0014 0.0000 74.075 13.074 21 6 62 10 0.0001 0.0032 0.0000 31.324 7.678 18 6 37 6 +50 0 0.0002 0.0026 0.0000 72.485 13.225 76 15 101 12 0.0001 0.0032 0.0000 32.131 7.787 18 6 37 6 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.sys new file mode 100644 index 0000000..b054e0c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_3/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 70. +creating initial population(s): + 5574 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 179251996 + freed: 178249396 + not freed: 1002600 + max allocated: 9312979 + malloc'ed blocks: 754578 + realloc'ed blocks: 11 + free'ed blocks: 754428 + +------- time ------- + overall: 5s wall + evaluation: 3s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33706 + freed: 33706 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.bst new file mode 100644 index 0000000..6ecc09b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.bst @@ -0,0 +1,44 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 125 + depth: 16 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 518.6200 + standardized fitness: 518.6200 + adjusted fitness: 0.0019 +TREE: + (- (- (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (sin 0.64610))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos (- (cos (/ x -0.11075)) + (* (exp (cos (/ x x))) + (+ (- (cos (+ x -0.28163)) x) + (exp (exp (/ x + (/ x x)))))))))))) + (sin (- (cos (exp -0.15704)) + (- (cos (+ -0.71630 0.01312)) x)))) x) + (sin x)) + (* (+ (+ (- (cos (- x -0.94651)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (exp (exp (exp (exp 0.57537)))) + (- (* x 0.55323) + (exp (/ x + (/ x x))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +TREE-equ: +y = (((((((exp((x / (x / x))) - cos(sin(0.64610))) + ((x / 0.46723) - (sin(sin(-0.28163)) + (sin(0.64610) * (x / -0.11075))))) - sin(log((x - cos((cos((x / -0.11075)) - (exp(cos((x / x))) * ((cos((x + -0.28163)) - x) + exp(exp((x / (x / x)))))))))))) - sin((cos(exp(-0.15704)) - (cos((-0.71630 + 0.01312)) - x)))) - x) - sin(x)) - ((((cos((x - -0.94651)) - exp(exp(0.57537))) + exp(cos(cos(((exp(exp(exp(exp(0.57537)))) + ((x * 0.55323) - exp((x / (x / x))))) + log(x)))))) + exp(exp(log(x)))) * ((cos((x + -0.28163)) - exp(exp(0.57537))) + exp(cos((x / x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.fn new file mode 100644 index 0000000..b0dfc90 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.fn @@ -0,0 +1,2 @@ + +y = (((((((exp((x / (x / x))) - cos(sin(0.64610))) + ((x / 0.46723) - (sin(sin(-0.28163)) + (sin(0.64610) * (x / -0.11075))))) - sin(log((x - cos((cos((x / -0.11075)) - (exp(cos((x / x))) * ((cos((x + -0.28163)) - x) + exp(exp((x / (x / x)))))))))))) - sin((cos(exp(-0.15704)) - (cos((-0.71630 + 0.01312)) - x)))) - x) - sin(x)) - ((((cos((x - -0.94651)) - exp(exp(0.57537))) + exp(cos(cos(((exp(exp(exp(exp(0.57537)))) + ((x * 0.55323) - exp((x / (x / x))))) + log(x)))))) + exp(exp(log(x)))) * ((cos((x + -0.28163)) - exp(exp(0.57537))) + exp(cos((x / x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.his new file mode 100644 index 0000000..c25bdd4 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.his @@ -0,0 +1,1875 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 47 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6142.7906 + standardized fitness: 6142.7906 + adjusted fitness: 0.0002 +TREE: + (- (- (exp (exp (sin (/ x -0.11075)))) + (sin (- (cos (exp -0.15704)) + (cos (/ x -0.14102))))) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (- (cos (sin -0.36340)) + (sin (+ -0.03159 -0.92504)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 47 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6129.8507 + standardized fitness: 6129.8507 + adjusted fitness: 0.0002 +TREE: + (- (- (exp (exp (sin (/ x -0.11075)))) + (sin (- (cos (exp -0.15704)) + (cos (/ x -0.22179))))) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (- (cos (sin -0.36340)) + (sin (+ -0.03159 -0.92504)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 43 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5673.7385 + standardized fitness: 5673.7385 + adjusted fitness: 0.0002 +TREE: + (- (- (exp (exp (sin (log 0.24583)))) + (sin (- (cos (exp -0.15704)) + (cos (/ x -0.14102))))) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 37 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5179.5827 + standardized fitness: 5179.5827 + adjusted fitness: 0.0002 +TREE: + (- (- x + (sin (- (cos (exp -0.15704)) + (cos x)))) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 35 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4149.0388 + standardized fitness: 4149.0388 + adjusted fitness: 0.0002 +TREE: + (- (- (exp -0.56295) x) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (- (cos (exp x)) + (sin (+ -0.03159 -0.92504)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 38 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3031.9407 + standardized fitness: 3031.9407 + adjusted fitness: 0.0003 +TREE: + (- (- (exp x) + (sin (- (cos (exp -0.15704)) + (cos x)))) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 43 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3031.8917 + standardized fitness: 3031.8917 + adjusted fitness: 0.0003 +TREE: + (- (- (exp x) + (sin (- (cos (exp -0.15704)) + (cos x)))) + (* (+ (sin (- (/ -0.85276 + (sin (log (log (/ -0.00742 -0.80460))))) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2780.9343 + standardized fitness: 2780.9343 + adjusted fitness: 0.0004 +TREE: + (- (+ (sin x) + (exp x)) + (* (+ (+ -0.25409 x) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 72 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1886.2889 + standardized fitness: 1886.2889 + adjusted fitness: 0.0005 +TREE: + (- (- x + (sin (- (cos -0.93306) + (cos x)))) + (* (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x + (- (+ (* x + (cos 0.24483)) + (+ (- (exp (cos x)) + (sin (- (sin (- (/ x x) + (log 0.73354))) + (cos (exp (exp -0.08553)))))) + (* (/ -0.68957 x) + (+ x + (sin (/ -0.25789 x)))))) + (- 0.16342 -0.92710)))))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1765.5298 + standardized fitness: 1765.5298 + adjusted fitness: 0.0006 +TREE: + (- (- (/ x 0.07137) -0.62757) + (* (+ (sin (- (/ -0.85276 0.06355) + (sin (/ (+ x x) + (- (sin (/ -0.48217 x)) + (cos (/ -0.58157 + (/ 0.46286 -0.93306)))))))) + (exp (exp (log x)))) + (+ (- (sin (- (/ x 0.89503) + (/ (log -0.14794) + (exp (exp x))))) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 54 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1765.5298 + standardized fitness: 1765.5298 + adjusted fitness: 0.0006 +TREE: + (- (- (/ x 0.07137) -0.62757) + (* (+ (sin (- (/ -0.85276 0.06355) + (sin (/ (+ x x) + (- (sin (/ -0.48217 x)) + (cos (/ -0.58157 + (/ 0.46286 -0.93306)))))))) + (exp (exp (log x)))) + (+ (- (sin (- (/ x 0.89503) + (/ (log -0.14794) + (exp (exp x))))) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 57 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1631.4742 + standardized fitness: 1631.4742 + adjusted fitness: 0.0006 +TREE: + (- (- (/ x 0.07137) -0.62757) + (* (+ (sin (- (/ -0.85276 0.06355) + (sin (/ (+ x x) + (- (sin (/ -0.48217 x)) + (cos (- (cos (+ x -0.28163)) + (exp (exp 0.57537))))))))) + (exp (exp (log x)))) + (+ (- (sin (- (/ x 0.89503) + (/ (log -0.14794) + (exp (exp x))))) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 47 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1540.4472 + standardized fitness: 1540.4472 + adjusted fitness: 0.0006 +TREE: + (- (- (/ x 0.07137) -0.62757) + (* (+ (sin (- (/ -0.85276 0.06355) + (sin (/ (+ x x) + (exp (exp (sin -0.62757))))))) + (exp (exp (log x)))) + (+ (- (sin (- (/ x 0.89503) + (/ (log -0.14794) + (exp (exp x))))) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 12 + nodes: 47 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1540.4472 + standardized fitness: 1540.4472 + adjusted fitness: 0.0006 +TREE: + (- (- (/ x 0.07137) -0.62757) + (* (+ (sin (- (/ -0.85276 0.06355) + (sin (/ (+ x x) + (exp (exp (sin -0.62757))))))) + (exp (exp (log x)))) + (+ (- (sin (- (/ x 0.89503) + (/ (log -0.14794) + (exp (exp x))))) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 12 + nodes: 47 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1540.4472 + standardized fitness: 1540.4472 + adjusted fitness: 0.0006 +TREE: + (- (- (/ x 0.07137) -0.62757) + (* (+ (sin (- (/ -0.85276 0.06355) + (sin (/ (+ x x) + (exp (exp (sin -0.62757))))))) + (exp (exp (log x)))) + (+ (- (sin (- (/ x 0.89503) + (/ (log -0.14794) + (exp (exp x))))) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 94 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1323.2964 + standardized fitness: 1323.2964 + adjusted fitness: 0.0008 +TREE: + (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (cos (log (cos (/ x x)))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos x))))) + (sin (- (cos (exp -0.15704)) + (- (+ x x) x)))) + (* (+ (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (log (cos x)) + (- (* x 0.55323) + (exp x))) + (sin (exp -0.54077))))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 89 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1240.1593 + standardized fitness: 1240.1593 + adjusted fitness: 0.0008 +TREE: + (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (cos (log (cos (/ x x)))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) x) + (sin (- (cos (exp -0.15704)) + (- (+ x x) x)))) + (* (+ (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (log (cos x)) + (- (* x 0.55323) + (exp x))) + (sin (exp -0.54077))))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 76 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1142.8041 + standardized fitness: 1142.8041 + adjusted fitness: 0.0009 +TREE: + (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (cos (log (cos (/ x x)))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) x) + (sin (- (cos (exp -0.15704)) + (- (+ x x) x)))) + (* (+ (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (sin -0.51412)))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 91 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1090.8255 + standardized fitness: 1090.8255 + adjusted fitness: 0.0009 +TREE: + (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (cos (log (cos (/ x x)))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) x) + (sin (- (cos (exp -0.15704)) + (- (- (cos (exp (+ (sin (- (/ -0.85276 0.06355) + (cos 0.92526))) + (exp (exp (log x)))))) + (cos x)) + (cos 0.92526))))) + (* (+ (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (sin -0.51412)))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 83 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 965.4908 + standardized fitness: 965.4908 + adjusted fitness: 0.0010 +TREE: + (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (cos (log (cos (/ x x)))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) x) + (sin x)) + (* (+ (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (log (cos x)) + (- (* x 0.55323) + (/ -0.85276 + (log -0.15000)))) + (sin (exp -0.54077))))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 96 + depth: 15 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 963.6176 + standardized fitness: 963.6176 + adjusted fitness: 0.0010 +TREE: + (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (cos (log (cos (/ x + (- (log (cos x)) + (cos (/ -0.58157 + (- (/ -0.85276 0.06355) + (+ 0.64954 x))))))))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) x) + (sin x)) + (* (+ (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (cos (+ 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x x)))) + (- (* x 0.55323) + (/ -0.85276 + (exp (exp (log x)))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 41 + nodes: 145 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 553.7061 + standardized fitness: 553.7061 + adjusted fitness: 0.0018 +TREE: + (- (- (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (+ x + (- (/ -0.85276 0.06355) + (* (/ x 0.59523) -0.31210))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos (- (cos (/ x -0.11075)) + (* (+ (+ x -0.28163) + (+ (sin (sin 0.06355)) + (* (sin 0.64610) + (/ x -0.11075)))) + (+ (- (cos (+ x -0.28163)) x) + (exp (cos (/ x x))))))))))) + (sin (- (cos (exp -0.15704)) + (- (cos (+ (* 0.67520 x) 0.31759)) x)))) x) + (sin x)) + (* (+ (+ (- (cos (- x -0.94651)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (exp (exp (/ x + (/ 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x x)))) + (- (* x 0.55323) + (/ -0.85276 + (exp (exp (log x)))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 41 + nodes: 145 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 553.7061 + standardized fitness: 553.7061 + adjusted fitness: 0.0018 +TREE: + (- (- (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (+ x + (- (/ -0.85276 0.06355) + (* (/ x 0.59523) -0.31210))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos (- (cos (/ x -0.11075)) + (* (+ (+ x -0.28163) + (+ (sin (sin 0.06355)) + (* (sin 0.64610) + (/ x -0.11075)))) + (+ (- (cos (+ x -0.28163)) x) + (exp (cos (/ x x))))))))))) + (sin (- (cos (exp -0.15704)) + (- (cos (+ (* 0.67520 x) 0.31759)) x)))) x) + (sin x)) + (* (+ (+ (- (cos (- x -0.94651)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (exp (exp (/ x + (/ x x)))) + (- (* x 0.55323) + (/ -0.85276 + (exp (exp (log x)))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 41 + nodes: 145 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 553.7061 + standardized fitness: 553.7061 + adjusted fitness: 0.0018 +TREE: + (- (- (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (+ x + (- (/ -0.85276 0.06355) + (* (/ x 0.59523) -0.31210))))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos (- (cos (/ x -0.11075)) + (* (+ (+ x -0.28163) + (+ (sin (sin 0.06355)) + (* (sin 0.64610) + (/ x -0.11075)))) + (+ (- (cos (+ x -0.28163)) x) + (exp (cos (/ x x))))))))))) + (sin (- (cos (exp -0.15704)) + (- (cos (+ (* 0.67520 x) 0.31759)) x)))) x) + (sin x)) + (* (+ (+ (- (cos (- x -0.94651)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (exp (exp (/ x + (/ x x)))) + (- (* x 0.55323) + (/ -0.85276 + (exp (exp (log x)))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 127 + depth: 16 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 545.2144 + standardized fitness: 545.2144 + adjusted fitness: 0.0018 +TREE: + (- (- (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (sin 0.64610))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos (- (cos (/ x -0.11075)) + (* (exp (cos (/ x x))) + (+ (- (cos (+ x -0.28163)) x) + (exp (exp (/ x + (/ x x)))))))))))) + (sin (- (cos (exp -0.15704)) + (- (cos (+ (* 0.67520 x) 0.31759)) x)))) x) + (sin x)) + (* (+ (+ (- (cos (- x -0.94651)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (exp (exp (exp (exp 0.57537)))) + (- (* x 0.55323) + (exp (/ x + (/ x x))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 125 + depth: 16 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 518.6200 + standardized fitness: 518.6200 + adjusted fitness: 0.0019 +TREE: + (- (- (- (- (- (+ (- (exp (/ x + (/ x x))) + (cos (sin 0.64610))) + (- (/ x 0.46723) + (+ (sin (sin -0.28163)) + (* (sin 0.64610) + (/ x -0.11075))))) + (sin (log (- x + (cos (- (cos (/ x -0.11075)) + (* (exp (cos (/ x x))) + (+ (- (cos (+ x -0.28163)) x) + (exp (exp (/ x + (/ x x)))))))))))) + (sin (- (cos (exp -0.15704)) + (- (cos (+ -0.71630 0.01312)) x)))) x) + (sin x)) + (* (+ (+ (- (cos (- x -0.94651)) + (exp (exp 0.57537))) + (exp (cos (cos (+ (+ (exp (exp (exp (exp 0.57537)))) + (- (* x 0.55323) + (exp (/ x + (/ x x))))) + (log x)))))) + (exp (exp (log x)))) + (+ (- (cos (+ x -0.28163)) + (exp (exp 0.57537))) + (exp (cos (/ x x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.prg new file mode 100644 index 0000000..5c274a1 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 2.68846, y = 81.58984 + x = -3.50526, y = 116.68018 + x = -2.76364, y = 42.10075 + x = -1.22677, y = 0.69687 + x = 0.89313, y = 3.03950 + x = 1.26114, y = 7.38702 + x = -0.21698, y = -0.17790 + x = -1.37354, y = 1.48104 + x = 3.59207, y = 229.32995 + x = -0.79123, y = -0.26860 + x = 4.06670, y = 361.36742 + x = -1.30563, y = 1.07927 + x = -0.98442, y = -0.03020 + x = 2.35601, y = 51.79569 + x = -2.92896, y = 54.11887 + x = -2.08599, y = 12.12282 + x = -4.31560, y = 280.80146 + x = -1.75171, y = 5.35727 + x = 2.99733, y = 119.62188 + x = -4.99252, y = 516.76171 + x = 3.97794, y = 333.14777 + x = 3.48271, y = 204.97344 + x = -1.53423, y = 2.74897 + x = -4.36922, y = 295.74423 + x = 3.83476, y = 291.17981 + x = -3.22720, y = 82.04560 + x = -4.32914, y = 284.52138 + x = -0.02273, y = -0.02223 + x = 2.85486, y = 100.69889 + x = 2.81472, y = 95.80613 + x = 3.68673, y = 252.13103 + x = -2.71864, y = 39.20613 + x = 0.64073, y = 1.48286 + x = 0.86379, y = 2.81111 + x = 2.79316, y = 93.25326 + x = -3.14587, y = 73.55841 + x = 3.63919, y = 240.47518 + x = -4.33290, y = 285.55963 + x = -3.92187, y = 187.71440 + x = 4.16217, y = 393.69936 + x = 1.84373, y = 23.06585 + x = -4.43713, y = 315.51500 + x = -3.45065, y = 109.14634 + x = 3.21910, y = 154.32337 + x = -1.95318, y = 8.96401 + x = -2.04598, y = 11.09849 + x = 3.10448, y = 135.54958 + x = -3.85847, y = 175.23116 + x = 1.89526, y = 25.19760 + x = 4.17647, y = 398.72359 + x = 3.85460, y = 296.74125 + x = -2.28499, y = 18.26660 + x = -4.54261, y = 348.16942 + x = 3.84976, y = 295.37922 + x = -2.30554, y = 19.00939 + x = 0.40711, y = 0.66779 + x = 0.85400, y = 2.73807 + x = 1.37257, y = 9.39171 + x = 0.98007, y = 3.80466 + x = -0.96100, y = -0.07209 + x = 2.62195, y = 74.78171 + x = -0.88408, y = -0.18259 + x = -2.45167, y = 24.95101 + x = 4.42990, y = 496.08784 + x = 2.36505, y = 52.47384 + x = 3.50383, y = 209.51764 + x = -2.85498, y = 48.46230 + x = 0.79648, y = 2.33857 + x = -0.69081, y = -0.31552 + x = 4.11702, y = 378.14832 + x = -0.19047, y = -0.15979 + x = 4.54287, y = 544.84767 + x = 1.35303, y = 9.01216 + x = 3.82086, y = 287.33179 + x = -3.84712, y = 173.06382 + x = 1.26293, y = 7.41629 + x = 3.02531, y = 123.63596 + x = -0.38400, y = -0.27142 + x = 2.93631, y = 111.21269 + x = -1.57235, y = 3.12484 + x = 0.91880, y = 3.25127 + x = -0.70172, y = -0.31238 + x = 3.99719, y = 339.12227 + x = -1.18414, y = 0.52378 + x = -4.80722, y = 441.25498 + x = -0.42919, y = -0.29011 + x = 4.73302, y = 634.98838 + x = 1.21084, y = 6.60170 + x = 3.49874, y = 208.41516 + x = 4.28932, y = 440.10135 + x = 4.70910, y = 623.07217 + x = -2.15729, y = 14.11555 + x = 1.35791, y = 9.10577 + x = -3.03890, y = 63.41530 + x = -0.64736, y = -0.32395 + x = 2.30086, y = 47.80117 + x = -0.79016, y = -0.26933 + x = -2.27152, y = 17.79122 + x = 2.06622, y = 33.38314 + x = 1.78389, y = 20.76987 + x = -0.07130, y = -0.06655 + x = -1.51152, y = 2.53966 + x = -1.79478, y = 6.02142 + x = -1.53239, y = 2.73157 + x = -1.74233, y = 5.21968 + x = -0.44368, y = -0.29542 + x = -1.28218, y = 0.95663 + x = 1.64153, y = 16.02046 + x = 3.65699, y = 244.78989 + x = 3.12366, y = 138.56258 + x = 0.67409, y = 1.64126 + x = 4.64317, y = 591.09468 + x = 2.87383, y = 103.07732 + x = 1.69075, y = 17.55439 + x = -0.67011, y = -0.32033 + x = -0.22076, y = -0.18041 + x = 2.75801, y = 89.20476 + x = -4.41277, y = 308.31200 + x = 0.07726, y = 0.08372 + x = -4.93581, y = 492.69690 + x = -0.70600, y = -0.31102 + x = 4.41654, y = 490.54909 + x = 3.73026, y = 263.17486 + x = 2.52529, y = 65.67401 + x = -0.81168, y = -0.25356 + x = -3.67895, y = 143.24938 + x = 1.33765, y = 8.72205 + x = -2.11458, y = 12.89546 + x = 0.56319, y = 1.15962 + x = 1.59657, y = 14.71285 + x = -2.45489, y = 25.09558 + x = -3.61622, y = 133.17988 + x = 0.95901, y = 3.60659 + x = 4.81266, y = 675.90632 + x = 2.75356, y = 88.70164 + x = 1.27563, y = 7.62647 + x = 1.42445, y = 10.46081 + x = -2.69356, y = 37.65785 + x = 4.48597, y = 519.85723 + x = 0.41354, y = 0.68452 + x = 1.81280, y = 21.85555 + x = 4.14579, y = 388.00320 + x = -3.86642, y = 176.76196 + x = 3.43455, y = 194.89387 + x = -0.00467, y = -0.00465 + x = -4.70744, y = 404.20058 + x = -0.88755, y = -0.17842 + x = 3.83262, y = 290.58404 + x = 2.77278, y = 90.88940 + x = -1.96841, y = 9.29217 + x = -4.03679, y = 212.02653 + x = -3.67558, y = 142.69554 + x = 2.16529, y = 38.98748 + x = -4.53035, y = 344.25063 + x = -0.76122, y = -0.28709 + x = -1.45508, y = 2.06420 + x = 2.52946, y = 66.04845 + x = -1.60744, y = 3.49935 + x = 0.71405, y = 1.84795 + x = 1.98204, y = 29.13010 + x = 3.13187, y = 139.86828 + x = -3.58863, y = 128.92372 + x = 2.15556, y = 38.40719 + x = -1.75655, y = 5.42924 + x = -3.68914, y = 144.93756 + x = 1.52829, y = 12.88902 + x = 3.50959, y = 210.76895 + x = 4.43928, y = 500.00798 + x = -3.30458, y = 90.78044 + x = -0.96267, y = -0.06924 + x = -4.33321, y = 285.64487 + x = 3.92540, y = 317.24859 + x = -2.18555, y = 14.96779 + x = -2.95433, y = 56.16753 + x = 4.10098, y = 372.73716 + x = -2.03042, y = 10.71739 + x = -2.74875, y = 41.12558 + x = 3.26062, y = 161.58913 + x = -1.71349, y = 4.81198 + x = -4.35660, y = 292.17286 + x = -1.20841, y = 0.61961 + x = -2.05491, y = 11.32144 + x = 2.17137, y = 39.35375 + x = 3.58115, y = 226.80354 + x = 3.46470, y = 201.15913 + x = -3.86626, y = 176.73029 + x = -0.77178, y = -0.28105 + x = -2.28444, y = 18.24690 + x = 3.50180, y = 209.07616 + x = -3.77473, y = 159.71222 + x = 2.76604, y = 90.11738 + x = 1.98516, y = 29.27978 + x = -4.38898, y = 301.39680 + x = 0.44864, y = 0.78072 + x = -0.25325, y = -0.20124 + x = 2.88740, y = 104.80371 + x = 1.33135, y = 8.60531 + x = 4.08791, y = 368.37014 + x = 4.33357, y = 457.17751 + x = -2.97426, y = 57.81623 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.stt new file mode 100644 index 0000000..914f613 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0002 0.0000 13.031 3.674 47 6 34 6 0.0000 0.0002 0.0000 13.031 3.674 47 6 34 6 +1 0 0.0000 0.0002 0.0000 12.460 3.889 47 6 17 9 0.0000 0.0002 0.0000 12.746 3.782 47 6 17 9 +2 0 0.0000 0.0002 0.0000 12.453 4.034 43 6 5 3 0.0000 0.0002 0.0000 12.648 3.866 43 6 17 9 +3 0 0.0000 0.0002 0.0000 12.540 4.123 37 6 10 5 0.0000 0.0002 0.0000 12.621 3.930 37 6 17 9 +4 0 0.0000 0.0002 0.0000 13.461 4.345 35 6 39 7 0.0000 0.0002 0.0000 12.789 4.013 35 6 17 9 +5 0 0.0000 0.0003 0.0000 14.694 4.571 38 6 5 4 0.0000 0.0003 0.0000 13.107 4.106 38 6 17 9 +6 0 0.0000 0.0003 0.0000 18.207 5.093 43 10 44 7 0.0000 0.0003 0.0000 13.835 4.247 43 10 17 9 +7 0 0.0001 0.0004 0.0000 25.668 6.211 29 6 60 11 0.0000 0.0004 0.0000 15.314 4.492 29 6 17 9 +8 0 0.0001 0.0005 0.0000 35.144 7.493 72 15 23 8 0.0000 0.0005 0.0000 17.518 4.826 72 15 17 9 +9 0 0.0001 0.0006 0.0000 45.317 8.906 54 11 93 11 0.0001 0.0006 0.0000 20.298 5.234 54 11 17 9 +10 0 0.0001 0.0005 0.0000 52.556 9.898 75 12 62 9 0.0001 0.0006 0.0000 23.230 5.658 54 11 17 9 +11 0 0.0001 0.0006 0.0000 58.057 10.617 57 12 22 9 0.0001 0.0006 0.0000 26.132 6.071 57 12 17 9 +12 0 0.0001 0.0006 0.0000 62.618 11.200 47 10 59 11 0.0001 0.0006 0.0000 28.939 6.466 47 10 17 9 +13 0 0.0001 0.0006 0.0000 65.484 11.629 48 10 62 12 0.0001 0.0006 0.0000 31.549 6.835 47 10 17 9 +14 0 0.0001 0.0006 0.0000 67.719 11.824 87 16 74 14 0.0001 0.0006 0.0000 33.961 7.167 47 10 17 9 +15 0 0.0002 0.0008 0.0000 68.785 11.936 94 11 119 14 0.0001 0.0008 0.0000 36.137 7.465 94 11 17 9 +16 0 0.0002 0.0008 0.0000 70.286 12.111 89 11 109 16 0.0001 0.0008 0.0000 38.146 7.738 89 11 17 9 +17 0 0.0002 0.0009 0.0000 71.943 12.322 76 10 87 13 0.0001 0.0009 0.0000 40.023 7.993 76 10 17 9 +18 0 0.0002 0.0009 0.0000 73.107 12.459 91 12 45 8 0.0001 0.0009 0.0000 41.765 8.228 91 12 17 9 +19 0 0.0002 0.0010 0.0000 74.947 12.661 83 12 156 17 0.0001 0.0010 0.0000 43.424 8.450 83 12 17 9 +20 0 0.0002 0.0010 0.0000 77.041 12.800 96 15 138 16 0.0001 0.0010 0.0000 45.025 8.657 96 15 17 9 +21 0 0.0003 0.0011 0.0000 80.205 12.990 93 14 63 10 0.0001 0.0011 0.0000 46.624 8.854 93 14 17 9 +22 0 0.0003 0.0011 0.0000 83.863 13.222 91 14 56 15 0.0001 0.0011 0.0000 48.243 9.044 91 14 17 9 +23 0 0.0003 0.0011 0.0000 87.117 13.435 67 10 169 17 0.0001 0.0011 0.0000 49.863 9.227 67 10 17 9 +24 0 0.0003 0.0012 0.0000 90.766 13.608 84 14 33 7 0.0001 0.0012 0.0000 51.499 9.402 84 14 17 9 +25 0 0.0004 0.0013 0.0000 95.918 13.873 76 11 95 14 0.0001 0.0013 0.0000 53.207 9.574 76 11 17 9 +26 0 0.0004 0.0013 0.0000 98.530 13.960 124 13 54 11 0.0002 0.0013 0.0000 54.886 9.736 124 13 17 9 +27 0 0.0004 0.0012 0.0000 101.442 14.013 106 13 84 15 0.0002 0.0013 0.0000 56.549 9.889 124 13 17 9 +28 0 0.0004 0.0013 0.0000 105.748 14.224 91 15 76 8 0.0002 0.0013 0.0000 58.245 10.039 124 13 17 9 +29 0 0.0004 0.0015 0.0000 107.754 14.230 149 17 119 15 0.0002 0.0015 0.0000 59.895 10.178 149 17 17 9 +30 0 0.0004 0.0016 0.0000 110.963 14.320 148 16 141 16 0.0002 0.0016 0.0000 61.543 10.312 148 16 17 9 +31 0 0.0004 0.0015 0.0000 115.863 14.516 149 17 151 16 0.0002 0.0016 0.0000 63.240 10.443 148 16 17 9 +32 0 0.0005 0.0017 0.0000 119.009 14.597 150 17 86 14 0.0002 0.0017 0.0000 64.930 10.569 150 17 17 9 +33 0 0.0005 0.0017 0.0000 122.479 14.686 92 12 135 17 0.0002 0.0017 0.0000 66.623 10.690 92 12 17 9 +34 0 0.0005 0.0015 0.0000 125.656 14.818 160 17 173 17 0.0002 0.0017 0.0000 68.309 10.808 92 12 17 9 +35 0 0.0005 0.0015 0.0000 129.636 14.944 158 17 124 17 0.0002 0.0017 0.0000 70.013 10.923 92 12 17 9 +36 0 0.0006 0.0015 0.0000 132.743 15.093 157 17 164 17 0.0002 0.0017 0.0000 71.708 11.036 92 12 17 9 +37 0 0.0006 0.0016 0.0000 134.242 15.101 100 13 129 17 0.0002 0.0017 0.0000 73.354 11.143 92 12 17 9 +38 0 0.0006 0.0015 0.0000 136.367 15.127 109 13 144 16 0.0003 0.0017 0.0000 74.970 11.245 92 12 17 9 +39 0 0.0006 0.0015 0.0000 137.999 15.113 104 12 168 14 0.0003 0.0017 0.0000 76.545 11.342 92 12 17 9 +40 0 0.0006 0.0015 0.0000 140.340 15.150 142 15 150 15 0.0003 0.0017 0.0000 78.101 11.435 92 12 17 9 +41 0 0.0006 0.0018 0.0000 142.575 15.201 145 15 114 15 0.0003 0.0018 0.0000 79.636 11.524 145 15 17 9 +42 0 0.0006 0.0018 0.0000 144.961 15.276 136 15 129 14 0.0003 0.0018 0.0000 81.156 11.611 145 15 17 9 +43 0 0.0007 0.0017 0.0000 146.635 15.302 136 15 127 16 0.0003 0.0018 0.0000 82.644 11.695 145 15 17 9 +44 0 0.0007 0.0017 0.0000 148.561 15.356 136 15 136 16 0.0003 0.0018 0.0000 84.109 11.777 145 15 17 9 +45 0 0.0007 0.0018 0.0000 150.301 15.413 122 15 159 17 0.0003 0.0018 0.0000 85.548 11.856 145 15 17 9 +46 0 0.0007 0.0018 0.0000 152.311 15.424 137 15 118 15 0.0003 0.0018 0.0000 86.968 11.932 145 15 17 9 +47 0 0.0007 0.0018 0.0000 154.809 15.468 122 15 145 15 0.0003 0.0018 0.0000 88.381 12.005 145 15 17 9 +48 0 0.0007 0.0018 0.0000 157.069 15.564 115 15 135 13 0.0003 0.0018 0.0000 89.783 12.078 145 15 17 9 +49 0 0.0007 0.0018 0.0000 159.581 15.657 127 16 239 17 0.0003 0.0018 0.0000 91.179 12.150 127 16 17 9 +50 0 0.0008 0.0019 0.0000 161.479 15.714 125 16 197 16 0.0004 0.0019 0.0000 92.558 12.219 125 16 17 9 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.sys new file mode 100644 index 0000000..6512875 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_4/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1671. +creating initial population(s): + 5628 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 449457378 + freed: 448454778 + not freed: 1002600 + max allocated: 17058737 + malloc'ed blocks: 744681 + realloc'ed blocks: 12 + free'ed blocks: 744531 + +------- time ------- + overall: 8s wall + evaluation: 6s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 34152 + freed: 34152 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.bst new file mode 100644 index 0000000..2375c2b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.bst @@ -0,0 +1,43 @@ +=== BEST-OF-RUN === + generation: 44 + nodes: 97 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1822.7568 + standardized fitness: 1822.7568 + adjusted fitness: 0.0005 +TREE: + (+ (- (- x x) + (* -0.71687 0.73728)) + (- (+ (- (cos -0.23218) x) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (+ x 0.64967) + (exp x)))) + (/ (* (log (+ (/ (/ (+ (* (+ 0.27272 + (+ 0.74666 -0.16384)) + (cos x)) + (- (+ (log (- (- 0.33578 + (/ (- x x) + (+ x x))) -0.30410)) x) + (/ x x))) + (exp (log (exp x)))) + (cos x)) + (- (/ (- (/ (exp x) + (* 0.23157 -0.37510)) x) + (* 0.23157 0.73648)) + (/ (* 0.23157 0.73648) + (exp (* x + (cos -0.23218))))))) + (cos (* 0.23157 + (* 0.23157 + (exp x))))) + (sin 0.87653)))) +TREE-equ: +y = (((x - x) - (-0.71687 * 0.73728)) + (((cos(-0.23218) - x) + ((exp(x) / (0.23157 * 0.73648)) - ((x + 0.64967) / exp(x)))) - ((log(((((((0.27272 + (0.74666 + -0.16384)) * cos(x)) + ((log(((0.33578 - ((x - x) / (x + x))) - -0.30410)) + x) - (x / x))) / exp(log(exp(x)))) / cos(x)) + ((((exp(x) / (0.23157 * -0.37510)) - x) / (0.23157 * 0.73648)) - ((0.23157 * 0.73648) / exp((x * cos(-0.23218))))))) * cos((0.23157 * (0.23157 * exp(x))))) / sin(0.87653)))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.fn new file mode 100644 index 0000000..6f75047 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.fn @@ -0,0 +1,2 @@ + +y = (((x - x) - (-0.71687 * 0.73728)) + (((cos(-0.23218) - x) + ((exp(x) / (0.23157 * 0.73648)) - ((x + 0.64967) / exp(x)))) - ((log(((((((0.27272 + (0.74666 + -0.16384)) * cos(x)) + ((log(((0.33578 - ((x - x) / (x + x))) - -0.30410)) + x) - (x / x))) / exp(log(exp(x)))) / cos(x)) + ((((exp(x) / (0.23157 * -0.37510)) - x) / (0.23157 * 0.73648)) - ((0.23157 * 0.73648) / exp((x * cos(-0.23218))))))) * cos((0.23157 * (0.23157 * exp(x))))) / sin(0.87653)))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.his new file mode 100644 index 0000000..1998e36 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.his @@ -0,0 +1,1372 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 7 + depth: 2 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5992.5270 + standardized fitness: 5992.5270 + adjusted fitness: 0.0002 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 7 + depth: 2 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5992.5270 + standardized fitness: 5992.5270 + adjusted fitness: 0.0002 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 7 + depth: 2 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5992.5270 + standardized fitness: 5992.5270 + adjusted fitness: 0.0002 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 7 + depth: 2 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5992.5270 + standardized fitness: 5992.5270 + adjusted fitness: 0.0002 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 30 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5491.1910 + standardized fitness: 5491.1910 + adjusted fitness: 0.0002 +TREE: + (+ (* (exp x) + (log (* (* (exp -0.12475) + (* x x)) + (/ (- x -0.89779) + (sin 0.83185))))) + (/ (exp (cos (/ (/ x -0.68103) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 30 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5491.1910 + standardized fitness: 5491.1910 + adjusted fitness: 0.0002 +TREE: + (+ (* (exp x) + (log (* (* (exp -0.12475) + (* x x)) + (/ (- x -0.89779) + (sin 0.83185))))) + (/ (exp (cos (/ (/ x -0.68103) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 30 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5491.1910 + standardized fitness: 5491.1910 + adjusted fitness: 0.0002 +TREE: + (+ (* (exp x) + (log (* (* (exp -0.12475) + (* x x)) + (/ (- x -0.89779) + (sin 0.83185))))) + (/ (exp (cos (/ (/ x -0.68103) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 4 + nodes: 30 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5491.1910 + standardized fitness: 5491.1910 + adjusted fitness: 0.0002 +TREE: + (+ (* (exp x) + (log (* (* (exp -0.12475) + (* x x)) + (/ (- x -0.89779) + (sin 0.83185))))) + (/ (exp (cos (/ (/ x -0.68103) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 41 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 4915.5294 + standardized fitness: 4915.5294 + adjusted fitness: 0.0002 +TREE: + (+ (* (exp x) + (log (* (* 0.63339 + (* x x)) + (/ (- x + (exp (- (log (* (exp x) + (sin (log 0.11627)))) + (cos (+ x 0.70702))))) + (sin 0.83185))))) + (/ (exp (cos (/ (/ x -0.68103) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 19 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4076.3223 + standardized fitness: 4076.3223 + adjusted fitness: 0.0002 +TREE: + (+ (/ (exp x) + (* 0.23157 0.73648)) + (/ (exp (cos (/ (/ x -0.68103) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 22 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3762.4065 + standardized fitness: 3762.4065 + adjusted fitness: 0.0003 +TREE: + (+ (* (/ (exp x) + (* 0.23157 0.73648)) + (cos -0.23218)) + (/ (exp (cos (/ (+ -0.78559 -0.15736) + (* x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 40 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2373.1595 + standardized fitness: 2373.1595 + adjusted fitness: 0.0004 +TREE: + (+ (/ (/ (cos (cos (log (- x -0.30410)))) + (exp (log (log (* (sin -0.00529) + (log (- (cos (/ x x)) + (sin (sin (log x)))))))))) + (cos x)) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 32 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2367.0708 + standardized fitness: 2367.0708 + adjusted fitness: 0.0004 +TREE: + (+ (/ (/ (cos (cos (log (- x -0.30410)))) + (exp (log (log (* (sin -0.00529) + (log x)))))) + (cos x)) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 18 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2269.0892 + standardized fitness: 2269.0892 + adjusted fitness: 0.0004 +TREE: + (+ (- (sin x) x) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 25 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2268.3536 + standardized fitness: 2268.3536 + adjusted fitness: 0.0004 +TREE: + (+ (- (log (* (- (sin x) -0.25787) + (exp (sin x)))) x) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 18 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2184.5049 + standardized fitness: 2184.5049 + adjusted fitness: 0.0005 +TREE: + (+ (log (* x -0.01870)) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 34 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1995.5974 + standardized fitness: 1995.5974 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (sin 0.87653)))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 38 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1972.2742 + standardized fitness: 1972.2742 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (cos (cos (sin (sin (log x)))))))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 17 + nodes: 38 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1972.2742 + standardized fitness: 1972.2742 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (cos (cos (sin (sin (log x)))))))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 17 + nodes: 38 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1972.2742 + standardized fitness: 1972.2742 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (cos (cos (sin (sin (log x)))))))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 20 + generation: 17 + nodes: 38 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1972.2742 + standardized fitness: 1972.2742 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (cos (cos (sin (sin (log x)))))))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 21 + generation: 17 + nodes: 38 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1972.2742 + standardized fitness: 1972.2742 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (cos (cos (sin (sin (log x)))))))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 22 + generation: 17 + nodes: 38 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1972.2742 + standardized fitness: 1972.2742 + adjusted fitness: 0.0005 +TREE: + (+ (exp -0.88301) + (- (+ (log (/ (* 0.09020 0.05192) + (+ (- x -0.30410) x))) + (- (/ (exp x) + (* 0.23157 0.73648)) + (/ (/ x 0.64178) + (cos (cos (sin (sin (log x)))))))) + (/ (+ x 0.64967) + (exp x)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 36 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1914.2257 + 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-0.23218))))))) + (cos (* 0.23157 + (* 0.23157 + (exp x))))) + (sin 0.87653)))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.prg new file mode 100644 index 0000000..7544f49 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 2.89913, y = 106.31479 + x = -0.93918, y = -0.10751 + x = -1.56383, y = 3.03810 + x = 2.04842, y = 32.44634 + x = -4.78816, y = 433.98485 + x = -3.38218, y = 100.22206 + x = 3.36340, y = 180.69573 + x = 3.87431, y = 302.34636 + x = 1.49973, y = 12.18091 + x = 0.93406, y = 3.38264 + x = 2.20363, y = 41.34125 + x = -2.35827, y = 21.01726 + x = -3.01657, y = 61.43735 + x = -1.37945, y = 1.51944 + x = -4.09992, y = 226.34697 + x = 4.97912, y = 767.83708 + x = -1.42355, y = 1.82479 + x = -4.14662, y = 237.39905 + x = 4.01258, y = 343.95356 + x = -1.34387, y = 1.29672 + x = -4.46903, y = 325.13786 + x = -0.87006, y = -0.19864 + x = 2.79215, y = 93.13487 + x = -0.37213, y = -0.26600 + x = 3.05224, y = 127.59475 + x = 0.32751, y = 0.48141 + x = -4.63945, y = 380.32648 + x = -1.79465, y = 6.01935 + x = 1.00321, y = 4.03224 + x = -0.89238, y = -0.17252 + x = 1.19499, y = 6.36857 + x = -1.17378, y = 0.48503 + x = -2.20532, y = 15.58576 + x = -1.23497, y = 0.73273 + x = -3.76011, y = 157.11069 + x = -1.20744, y = 0.61565 + x = -3.72367, y = 150.76815 + x = -4.08190, y = 222.18624 + x = -2.55383, y = 29.84887 + x = -1.81956, y = 6.42846 + x = -0.33489, y = -0.24772 + x = 0.61017, y = 1.34828 + x = -3.34015, y = 95.02162 + x = 1.90883, y = 25.78355 + x = 2.15139, y = 38.16041 + x = -2.49506, y = 26.95237 + x = -0.02642, y = -0.02574 + x = -1.63003, y = 3.75558 + x = -0.09256, y = -0.08472 + x = 1.03534, y = 4.36607 + x = -0.90947, y = -0.15043 + x = 1.60395, y = 14.92160 + x = -2.15473, y = 14.04021 + x = 2.95645, y = 113.93635 + x = -0.61454, y = -0.32634 + x = -0.92708, y = -0.12570 + x = -3.73385, y = 152.52171 + x = 4.67113, y = 604.50219 + x = 0.80853, y = 2.41813 + x = 1.41929, y = 10.35033 + x = -4.65852, y = 386.91243 + x = 2.44530, y = 58.80044 + x = 1.42813, y = 10.54024 + x = -1.68071, y = 4.37585 + x = -3.73106, y = 152.03860 + x = -3.40654, y = 103.33149 + x = -4.01812, y = 207.92293 + x = 0.07461, y = 0.08062 + x = 1.46916, y = 11.45757 + x = 3.39514, y = 186.92858 + x = 0.00554, y = 0.00557 + x = -4.79352, y = 436.02084 + x = 0.94594, y = 3.48785 + x = -2.02276, y = 10.53341 + x = 4.56560, y = 555.07918 + x = -1.07299, y = 0.16847 + x = -3.71533, y = 149.34446 + x = 4.83569, y = 688.10621 + x = -4.75759, y = 422.51932 + x = -1.02068, y = 0.04309 + x = -0.93863, y = -0.10835 + x = -4.31058, y = 279.43275 + x = 2.39682, y = 54.91287 + x = 4.58393, y = 563.43642 + x = -1.23386, y = 0.72783 + x = 3.74969, y = 268.21969 + x = 2.39809, y = 55.01167 + x = 4.47539, y = 515.30723 + x = -2.50391, y = 27.37468 + x = 4.64643, y = 592.64925 + x = -2.18933, y = 15.08436 + x = 1.20173, y = 6.46694 + x = -0.55106, y = -0.32252 + x = -0.94896, y = -0.09205 + x = 3.17490, y = 146.86405 + x = -0.54137, y = -0.32106 + x = 4.66423, y = 601.17306 + x = 3.68261, y = 251.10356 + x = 2.34323, y = 50.84822 + x = -1.77562, y = 5.71936 + x = -3.77973, y = 160.60828 + x = 0.13789, y = 0.15988 + x = -1.87244, y = 7.36092 + x = -4.07189, y = 219.90079 + x = -3.02603, y = 62.26985 + x = -1.59889, y = 3.40552 + x = 4.20713, y = 409.66101 + x = -1.73866, y = 5.16656 + x = -0.80969, y = -0.25511 + x = 0.63577, y = 1.46036 + x = 1.67483, y = 17.04628 + x = -3.20924, y = 80.11148 + x = 2.17504, y = 39.57616 + x = 1.16209, y = 5.90566 + x = -1.39139, y = 1.59884 + x = -0.86025, y = -0.20919 + x = -2.00364, y = 10.08406 + x = -2.62291, y = 33.54148 + x = 0.14439, y = 0.16868 + x = 1.81031, y = 21.76051 + x = -3.07077, y = 66.32081 + x = -2.70072, y = 38.09553 + x = 2.73137, y = 86.22645 + x = -1.75521, y = 5.40931 + x = 2.17487, y = 39.56560 + x = 4.86765, y = 705.30227 + x = 2.07891, y = 34.06430 + x = 0.01783, y = 0.01815 + x = -3.99673, y = 203.29807 + x = 1.16449, y = 5.93843 + x = -0.28012, y = -0.21747 + x = 3.02333, y = 123.34786 + x = 0.64539, y = 1.50422 + x = -0.39337, y = -0.27555 + x = 2.30449, y = 48.05696 + x = -2.72939, y = 39.88368 + x = -1.48562, y = 2.31376 + x = -3.76527, y = 158.02579 + x = 0.97532, y = 3.75917 + x = 4.62639, y = 583.15895 + x = 0.75333, y = 2.07044 + x = 0.02099, y = 0.02144 + x = -0.66900, y = -0.32055 + x = 0.68578, y = 1.69977 + x = 2.71721, y = 84.67399 + x = -4.48860, y = 331.14831 + x = 3.47036, y = 202.35129 + x = -3.79585, y = 163.52388 + x = 1.87617, y = 24.39074 + x = 3.30725, y = 170.05724 + x = 2.37972, y = 53.58963 + x = -0.35360, y = -0.25714 + x = 2.67934, y = 80.62889 + x = -3.82126, y = 168.20110 + x = 3.50449, y = 209.66039 + x = -1.80306, y = 6.15535 + x = 4.49250, y = 522.68163 + x = 3.52093, y = 213.25143 + x = -1.37638, y = 1.49943 + x = 4.70336, y = 620.23773 + x = 4.88673, y = 715.72487 + x = 2.97240, y = 116.12956 + x = 2.28603, y = 46.76870 + x = -0.43608, y = -0.29268 + x = 4.88244, y = 713.37064 + x = -3.34616, y = 95.75230 + x = 2.45976, y = 60.00033 + x = -3.51074, y = 117.45613 + x = 3.44489, y = 197.02479 + x = -1.90279, y = 7.93728 + x = 0.66940, y = 1.61823 + x = -3.20780, y = 79.95737 + x = 0.50093, y = 0.94051 + x = 1.83714, y = 22.80391 + x = 4.43059, y = 496.37568 + x = 2.28282, y = 46.54798 + x = -0.38007, y = -0.26965 + x = 1.55263, y = 13.51741 + x = -0.25970, y = -0.20522 + x = -1.02207, y = 0.04612 + x = -4.62485, y = 375.34253 + x = 3.55798, y = 221.51481 + x = -3.60579, y = 131.55937 + x = -3.70010, y = 146.76906 + x = 1.27776, y = 7.66212 + x = 1.74748, y = 19.46253 + x = -4.26270, y = 266.62211 + x = -3.91853, y = 187.04107 + x = -0.27581, y = -0.21493 + x = 0.65065, y = 1.52867 + x = -0.18915, y = -0.15886 + x = -2.97489, y = 57.86912 + x = -2.21016, y = 15.73972 + x = -2.12190, y = 13.09893 + x = -1.04301, y = 0.09366 + x = -1.03887, y = 0.08396 + x = 4.52006, y = 534.72570 + x = 2.49386, y = 62.90334 + x = 1.25519, y = 7.29045 + x = -4.56562, y = 355.61740 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.stt new file mode 100644 index 0000000..838df41 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0002 0.0000 13.263 3.693 7 2 27 5 0.0000 0.0002 0.0000 13.263 3.693 7 2 27 5 +1 0 0.0000 0.0001 0.0000 12.761 3.894 23 5 5 3 0.0000 0.0002 0.0000 13.012 3.794 7 2 27 5 +2 0 0.0000 0.0001 0.0000 12.733 4.093 18 4 13 5 0.0000 0.0002 0.0000 12.919 3.893 7 2 27 5 +3 0 0.0000 0.0001 0.0000 12.723 4.209 18 4 13 4 0.0000 0.0002 0.0000 12.870 3.972 7 2 27 5 +4 0 0.0000 0.0002 0.0000 12.614 4.285 30 6 13 6 0.0000 0.0002 0.0000 12.819 4.035 30 6 27 5 +5 0 0.0000 0.0002 0.0000 12.663 4.371 29 6 7 6 0.0000 0.0002 0.0000 12.793 4.091 30 6 27 5 +6 0 0.0000 0.0001 0.0000 12.784 4.496 30 7 10 6 0.0000 0.0002 0.0000 12.791 4.149 30 6 27 5 +7 0 0.0000 0.0001 0.0000 13.012 4.603 30 7 8 5 0.0000 0.0002 0.0000 12.819 4.206 30 6 27 5 +8 0 0.0000 0.0002 0.0000 13.229 4.677 41 12 7 5 0.0000 0.0002 0.0000 12.865 4.258 41 12 27 5 +9 0 0.0000 0.0002 0.0000 13.847 4.856 19 6 7 4 0.0000 0.0002 0.0000 12.963 4.318 19 6 27 5 +10 0 0.0000 0.0003 0.0000 14.634 5.029 22 6 18 6 0.0000 0.0003 0.0000 13.115 4.382 22 6 27 5 +11 0 0.0000 0.0004 0.0000 15.698 5.278 40 12 27 11 0.0000 0.0004 0.0000 13.330 4.457 40 12 27 5 +12 0 0.0001 0.0004 0.0000 17.410 5.620 32 8 7 4 0.0000 0.0004 0.0000 13.644 4.547 32 8 27 5 +13 0 0.0001 0.0004 0.0000 19.779 6.101 18 4 34 11 0.0000 0.0004 0.0000 14.082 4.658 18 4 27 5 +14 0 0.0001 0.0004 0.0000 23.018 6.731 25 6 36 11 0.0000 0.0004 0.0000 14.678 4.796 25 6 27 5 +15 0 0.0001 0.0005 0.0000 27.329 7.545 18 4 68 13 0.0000 0.0005 0.0000 15.468 4.968 18 4 27 5 +16 0 0.0001 0.0005 0.0000 32.395 8.478 34 7 5 3 0.0001 0.0005 0.0000 16.464 5.174 34 7 27 5 +17 0 0.0002 0.0005 0.0000 36.749 9.188 38 10 45 8 0.0001 0.0005 0.0000 17.591 5.397 38 10 27 5 +18 0 0.0002 0.0005 0.0000 40.094 9.617 19 4 52 12 0.0001 0.0005 0.0000 18.775 5.619 38 10 27 5 +19 0 0.0002 0.0005 0.0000 43.187 9.958 37 11 46 12 0.0001 0.0005 0.0000 19.996 5.836 38 10 27 5 +20 0 0.0002 0.0005 0.0000 46.377 10.352 52 11 47 9 0.0001 0.0005 0.0000 21.252 6.051 38 10 27 5 +21 0 0.0003 0.0005 0.0000 48.748 10.555 45 9 68 12 0.0001 0.0005 0.0000 22.502 6.256 38 10 27 5 +22 0 0.0003 0.0005 0.0000 50.943 10.691 19 4 29 7 0.0001 0.0005 0.0000 23.739 6.449 38 10 27 5 +23 0 0.0003 0.0005 0.0000 53.955 10.933 36 9 39 9 0.0001 0.0005 0.0000 24.998 6.636 36 9 27 5 +24 0 0.0003 0.0005 0.0000 56.550 11.153 36 9 51 8 0.0001 0.0005 0.0000 26.260 6.816 36 9 27 5 +25 0 0.0003 0.0005 0.0000 59.980 11.390 32 7 29 6 0.0001 0.0005 0.0000 27.557 6.992 36 9 27 5 +26 0 0.0003 0.0005 0.0000 63.521 11.684 32 7 29 7 0.0001 0.0005 0.0000 28.889 7.166 36 9 27 5 +27 0 0.0003 0.0005 0.0000 66.382 11.763 37 10 73 14 0.0001 0.0005 0.0000 30.228 7.330 37 10 27 5 +28 0 0.0003 0.0005 0.0000 68.186 11.802 47 8 97 12 0.0001 0.0005 0.0000 31.537 7.484 37 10 27 5 +29 0 0.0003 0.0005 0.0000 72.029 12.034 89 17 48 7 0.0001 0.0005 0.0000 32.886 7.636 37 10 27 5 +30 0 0.0003 0.0005 0.0000 74.847 12.202 90 17 8 4 0.0001 0.0005 0.0000 34.240 7.783 37 10 27 5 +31 0 0.0003 0.0005 0.0000 77.741 12.345 55 10 85 13 0.0002 0.0005 0.0000 35.599 7.926 37 10 27 5 +32 0 0.0003 0.0005 0.0000 80.101 12.406 86 9 89 14 0.0002 0.0005 0.0000 36.948 8.062 37 10 27 5 +33 0 0.0003 0.0005 0.0000 84.052 12.608 60 14 69 14 0.0002 0.0005 0.0000 38.333 8.195 37 10 27 5 +34 0 0.0003 0.0005 0.0000 86.034 12.714 95 14 124 16 0.0002 0.0005 0.0000 39.696 8.324 37 10 27 5 +35 0 0.0003 0.0005 0.0000 88.586 12.821 69 14 41 7 0.0002 0.0005 0.0000 41.054 8.449 37 10 27 5 +36 0 0.0003 0.0005 0.0000 91.293 12.954 74 16 155 16 0.0002 0.0005 0.0000 42.412 8.571 74 16 27 5 +37 0 0.0003 0.0005 0.0000 93.639 13.076 76 16 88 16 0.0002 0.0005 0.0000 43.760 8.690 74 16 27 5 +38 0 0.0003 0.0005 0.0000 95.217 13.059 111 16 132 17 0.0002 0.0005 0.0000 45.080 8.802 74 16 27 5 +39 0 0.0003 0.0005 0.0000 97.999 13.236 69 11 95 13 0.0002 0.0005 0.0000 46.403 8.913 74 16 27 5 +40 0 0.0003 0.0005 0.0000 100.375 13.371 40 7 81 15 0.0002 0.0005 0.0000 47.719 9.021 40 7 27 5 +41 0 0.0003 0.0005 0.0000 103.959 13.473 69 11 66 10 0.0002 0.0005 0.0000 49.058 9.127 40 7 27 5 +42 0 0.0003 0.0005 0.0000 106.150 13.551 63 11 110 12 0.0002 0.0005 0.0000 50.386 9.230 40 7 27 5 +43 0 0.0003 0.0005 0.0000 109.266 13.725 97 16 144 16 0.0002 0.0005 0.0000 51.724 9.332 40 7 27 5 +44 0 0.0003 0.0005 0.0000 109.588 13.674 97 16 23 8 0.0002 0.0005 0.0000 53.010 9.429 97 16 27 5 +45 0 0.0003 0.0005 0.0000 111.307 13.766 98 16 98 10 0.0002 0.0005 0.0000 54.277 9.523 97 16 27 5 +46 0 0.0003 0.0005 0.0000 112.175 13.709 89 12 128 16 0.0002 0.0005 0.0000 55.509 9.612 97 16 27 5 +47 0 0.0003 0.0005 0.0000 114.255 13.786 100 16 143 15 0.0002 0.0005 0.0000 56.733 9.699 97 16 27 5 +48 0 0.0003 0.0005 0.0000 115.659 13.814 117 13 89 13 0.0002 0.0005 0.0000 57.935 9.783 97 16 27 5 +49 0 0.0003 0.0005 0.0000 118.071 13.925 136 13 213 17 0.0002 0.0005 0.0000 59.138 9.866 97 16 27 5 +50 0 0.0003 0.0005 0.0000 119.150 13.914 123 13 168 17 0.0002 0.0005 0.0000 60.315 9.945 97 16 27 5 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.sys new file mode 100644 index 0000000..6cd8a94 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_5/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 72. +creating initial population(s): + 5631 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 312348100 + freed: 311345500 + not freed: 1002600 + max allocated: 13631439 + malloc'ed blocks: 751135 + realloc'ed blocks: 12 + free'ed blocks: 750985 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33931 + freed: 33931 + allocated: 14000 + blocks: 27 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.bst new file mode 100644 index 0000000..958014d --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.bst @@ -0,0 +1,45 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 110 + depth: 17 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 94.6946 + standardized fitness: 94.6946 + adjusted fitness: 0.0104 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (/ (log 0.74328) x) + (/ (log (/ x x)) -0.35416)) + (log (- (log x) + (+ (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ (* (/ -0.73086 x) + (cos -0.75675)) 0.85617) + (cos x)) + (- (cos (* 0.87538 x)) + (/ x + (* x + (+ 0.58676 x)))))))) + (cos (/ (+ (* x + (log 0.74328)) + (log -0.64582)) + (- 0.26089 + (/ (/ (+ (sin -0.22382) + (- (/ x x) + (/ (/ 0.60604 x) + (exp (* (+ x 0.85617) + (* x x)))))) + (* x x)) + (- (sin x) 0.44924)))))))))) x) +TREE-equ: +y = (((((x + 0.85617) * (x * x)) + x) - (((log(0.74328) / x) * (log((x / x)) / -0.35416)) - log((log(x) - (((x * x) + ((-0.87061 + (x * x)) / ((log((0.62563 - -0.90079)) - cos(x)) + (((((-0.73086 / x) * cos(-0.75675)) + 0.85617) - cos(x)) + (cos((0.87538 * x)) - (x / (x * (0.58676 + x)))))))) + cos((((x * log(0.74328)) + log(-0.64582)) / (0.26089 - (((sin(-0.22382) + ((x / x) - ((0.60604 / x) / exp(((x + 0.85617) * (x * x)))))) / (x * x)) / (sin(x) - 0.44924)))))))))) * x) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.fn new file mode 100644 index 0000000..af4bf51 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.fn @@ -0,0 +1,2 @@ + +y = (((((x + 0.85617) * (x * x)) + x) - (((log(0.74328) / x) * (log((x / x)) / -0.35416)) - log((log(x) - (((x * x) + ((-0.87061 + (x * x)) / ((log((0.62563 - -0.90079)) - cos(x)) + (((((-0.73086 / x) * cos(-0.75675)) + 0.85617) - cos(x)) + (cos((0.87538 * x)) - (x / (x * (0.58676 + x)))))))) + cos((((x * log(0.74328)) + log(-0.64582)) / (0.26089 - (((sin(-0.22382) + ((x / x) - ((0.60604 / x) / exp(((x + 0.85617) * (x * x)))))) / (x * x)) / (sin(x) - 0.44924)))))))))) * x) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.his new file mode 100644 index 0000000..a89879e --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.his @@ -0,0 +1,1533 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 37 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5520.7841 + standardized fitness: 5520.7841 + adjusted fitness: 0.0002 +TREE: + (* (- (- (log (* (/ 0.12830 0.15094) 0.47348)) + (* (cos -0.06153) -0.40640)) + (* (* (/ (- -0.06235 x) + (exp 0.95820)) x) + (+ (- (* x x) + (sin x)) + (/ x + (exp 0.87523))))) + (- (log x) -0.85709)) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 37 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5520.7841 + standardized fitness: 5520.7841 + adjusted fitness: 0.0002 +TREE: + (* (- (- (log (* (/ 0.12830 0.15094) 0.47348)) + (* (cos -0.06153) -0.40640)) + (* (* (/ (- -0.06235 x) + (exp 0.95820)) x) + (+ (- (* x x) + (sin x)) + (/ x + (exp 0.87523))))) + (- (log x) -0.85709)) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 37 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5520.7841 + standardized fitness: 5520.7841 + adjusted fitness: 0.0002 +TREE: + (* (- (- (log (* (/ 0.12830 0.15094) 0.47348)) + (* (cos -0.06153) -0.40640)) + (* (* (/ (- -0.06235 x) + (exp 0.95820)) x) + (+ (- (* x x) + (sin x)) + (/ x + (exp 0.87523))))) + (- (log x) -0.85709)) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 37 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 5520.7841 + standardized fitness: 5520.7841 + adjusted fitness: 0.0002 +TREE: + (* (- (- (log (* (/ 0.12830 0.15094) 0.47348)) + (* (cos -0.06153) -0.40640)) + (* (* (/ (- -0.06235 x) + (exp 0.95820)) x) + (+ (- (* x x) + (sin x)) + (/ x + (exp 0.87523))))) + (- (log x) -0.85709)) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 16 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2345.2714 + standardized fitness: 2345.2714 + adjusted fitness: 0.0004 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) + (log 0.33459)) + (- 0.92671 0.45955)) x) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 19 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1760.9490 + standardized fitness: 1760.9490 + adjusted fitness: 0.0006 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) + (* (* -0.21132 x) -0.68337)) + (- 0.92671 0.45955)) x) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 15 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1653.6446 + standardized fitness: 1653.6446 + adjusted fitness: 0.0006 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- 0.92671 0.45955)) x) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 37 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1205.8182 + standardized fitness: 1205.8182 + adjusted fitness: 0.0008 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) + (/ (sin (/ x x)) + (+ (- (+ 0.58378 0.10236) + (cos x)) + (- (cos (* 0.87538 x)) + (/ (/ 0.27849 -0.64197) + (exp x)))))) + (- 0.92671 0.45955)) x) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 13 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 787.3510 + standardized fitness: 787.3510 + adjusted fitness: 0.0013 +TREE: + (* (+ (* (+ x 0.85617) + (* x x)) x) + (+ 0.30851 x)) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 27 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 406.6917 + standardized fitness: 406.6917 + adjusted fitness: 0.0025 +TREE: + (+ (* (- (+ (* (+ x 0.85617) + (* x x)) + (+ x 0.85617)) + (- 0.92671 0.45955)) x) + (log (exp (+ (- x + (/ x -0.79473)) -0.00736)))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 27 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 293.3085 + standardized fitness: 293.3085 + adjusted fitness: 0.0034 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (- -0.33949 0.83185)) + (/ 0.58731 x)) + (log (* (* 0.94490 x) x)))) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 21 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 185.6475 + standardized fitness: 185.6475 + adjusted fitness: 0.0054 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (log 0.69918) + (log (* (* 0.94490 x) x)))) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 11 + nodes: 21 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 185.6475 + standardized fitness: 185.6475 + adjusted fitness: 0.0054 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (log 0.69918) + (log (* (* 0.94490 x) x)))) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 11 + nodes: 21 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 185.6475 + standardized fitness: 185.6475 + adjusted fitness: 0.0054 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (log 0.69918) + (log (* (* 0.94490 x) x)))) x) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 33 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 179.7281 + standardized fitness: 179.7281 + adjusted fitness: 0.0055 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (sin (- x x)) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) 0.69758))))) x) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 44 + depth: 12 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 172.5179 + standardized fitness: 172.5179 + adjusted fitness: 0.0058 +TREE: + (+ (sin (log (cos -0.38523))) + (* x + (+ (* (+ x 0.85617) + (* x x)) + (log (* (* (exp x) + (cos 0.51251)) + (+ (* (+ (/ 0.27849 x) + (* (/ (* x 0.75529) + (/ (exp 0.51273) + (- -0.45710 0.42617))) -0.68337)) + (* x x)) x)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 36 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 159.3420 + standardized fitness: 159.3420 + adjusted fitness: 0.0062 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* 0.85617 + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (sin (cos (cos 0.10691))) + (* (log x) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 33 + depth: 7 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 151.9284 + standardized fitness: 151.9284 + adjusted fitness: 0.0065 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (* -0.21132 x) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (cos x) + (* x x)))))) x) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 19 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 20 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 21 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 22 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 23 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 24 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 25 + generation: 18 + nodes: 49 + depth: 11 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 138.1663 + standardized fitness: 138.1663 + adjusted fitness: 0.0072 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* x + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin (log (- 0.92671 0.45955)))) + (+ (exp x) + (* (exp (* (+ (+ 0.70087 -0.13313) + (/ 0.58731 x)) + (- 0.26089 + (+ x 0.85617)))) + (* x x))))))) x) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 29 + depth: 7 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 129.1593 + standardized fitness: 129.1593 + adjusted fitness: 0.0077 +TREE: + (* (- (+ (* (+ x + (cos -0.49498)) + (* x x)) x) + (- (* (log 0.74328) + (/ 0.58731 x)) + (log (- -0.49498 + (+ (* x x) + (cos 0.85617)))))) x) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 28 + depth: 7 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 129.0002 + standardized fitness: 129.0002 + adjusted fitness: 0.0077 +TREE: + (* (- (+ (* (+ x + (cos -0.49498)) + (* x x)) x) + (- (* 0.26089 + (/ 0.58731 x)) + (log (- -0.49498 + (+ (* x x) + (cos 0.85617)))))) x) +=== BEST-OF-RUN === + current generation: 28 + generation: 28 + nodes: 43 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 124.8256 + standardized fitness: 124.8256 + adjusted fitness: 0.0079 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (- -0.33949 0.83185)) + (- (* (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (sin -0.98977)))) + (sin -0.98977)) + (cos x))) + (log (* (- 0.04278 x) x)))) x) +=== BEST-OF-RUN === + current generation: 29 + generation: 28 + nodes: 43 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 124.8256 + standardized fitness: 124.8256 + adjusted fitness: 0.0079 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (- -0.33949 0.83185)) + (- (* (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (sin -0.98977)))) + (sin -0.98977)) + (cos x))) + (log (* (- 0.04278 x) x)))) x) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 61 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 114.8038 + standardized fitness: 114.8038 + adjusted fitness: 0.0086 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (* (- (+ x 0.85617) + (* (* 0.94490 x) x)) x)) + (/ 0.58731 x)) + (log (- (- (- (- (/ (cos x) + (- 0.26089 0.44924)) + (sin 0.94005)) + (+ (* x x) + (sin -0.98977))) + (sin 0.94005)) + (+ (+ (* x x) + (+ -0.56431 + (cos x))) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 31 + generation: 30 + nodes: 61 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 114.8038 + standardized fitness: 114.8038 + adjusted fitness: 0.0086 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (* (- (+ x 0.85617) + (* (* 0.94490 x) x)) x)) + (/ 0.58731 x)) + (log (- (- (- (- (/ (cos x) + (- 0.26089 0.44924)) + (sin 0.94005)) + (+ (* x x) + (sin -0.98977))) + (sin 0.94005)) + (+ (+ (* x x) + (+ -0.56431 + (cos x))) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 32 + generation: 30 + nodes: 61 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 114.8038 + standardized fitness: 114.8038 + adjusted fitness: 0.0086 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (* (- (+ x 0.85617) + (* (* 0.94490 x) x)) x)) + (/ 0.58731 x)) + (log (- (- (- (- (/ (cos x) + (- 0.26089 0.44924)) + (sin 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114.8038 + adjusted fitness: 0.0086 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (* (- (+ x 0.85617) + (* (* 0.94490 x) x)) x)) + (/ 0.58731 x)) + (log (- (- (- (- (/ (cos x) + (- 0.26089 0.44924)) + (sin 0.94005)) + (+ (* x x) + (sin -0.98977))) + (sin 0.94005)) + (+ (+ (* x x) + (+ -0.56431 + (cos x))) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 39 + generation: 30 + nodes: 61 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 114.8038 + standardized fitness: 114.8038 + adjusted fitness: 0.0086 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (* (- (+ x 0.85617) + (* (* 0.94490 x) x)) x)) + (/ 0.58731 x)) + (log (- (- (- (- (/ (cos x) + (- 0.26089 0.44924)) + (sin 0.94005)) + (+ (* x x) + (sin -0.98977))) + (sin 0.94005)) + (+ (+ (* x x) + (+ -0.56431 + (cos x))) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 40 + generation: 40 + nodes: 139 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 106.7724 + standardized fitness: 106.7724 + adjusted fitness: 0.0093 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (exp (- (/ 0.58731 x) + (cos (exp x)))) + (exp (+ (* (+ (* (/ (- (- (* x x) 0.45955) x) + (* (+ x x) + (- x x))) + (cos -0.75675)) + (- (+ (* x x) + (cos (* x x))) + (- -0.98118 0.21476))) + (- (exp x) + (sin 0.94005))) + (/ (sin 0.85617) + (+ (sin -0.22382) + (- (/ x x) + (+ (sin 0.94005) x)))))))) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ 0.58378 0.10236) + (cos x)) + (- (cos (* 0.87538 x)) + (/ (cos (- (+ (* (log 0.74328) + (* x x)) + (* (log -0.81925) -0.68337)) + (- 0.41624 x))) + (* x + (+ 0.58676 x)))))))))))) x) +=== BEST-OF-RUN === + current generation: 41 + generation: 40 + nodes: 139 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 106.7724 + standardized fitness: 106.7724 + adjusted fitness: 0.0093 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (exp (- (/ 0.58731 x) + (cos (exp x)))) + (exp (+ (* (+ (* (/ (- (- (* x x) 0.45955) x) + (* (+ x x) + (- x x))) + (cos -0.75675)) + (- (+ (* x x) + (cos (* x x))) + (- -0.98118 0.21476))) + (- (exp x) + (sin 0.94005))) + (/ (sin 0.85617) + (+ (sin -0.22382) + (- (/ x x) + (+ (sin 0.94005) x)))))))) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ 0.58378 0.10236) + (cos x)) + (- (cos (* 0.87538 x)) + (/ (cos (- (+ (* (log 0.74328) + (* x x)) + (* (log -0.81925) -0.68337)) + (- 0.41624 x))) + (* x + (+ 0.58676 x)))))))))))) x) +=== BEST-OF-RUN === + current generation: 42 + generation: 40 + nodes: 139 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 106.7724 + standardized fitness: 106.7724 + adjusted fitness: 0.0093 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (exp (- (/ 0.58731 x) + (cos (exp x)))) + (exp (+ (* (+ (* (/ (- (- (* x x) 0.45955) x) + (* (+ x x) + (- x x))) + (cos -0.75675)) + (- (+ (* x x) + (cos (* x x))) + (- -0.98118 0.21476))) + (- (exp x) + (sin 0.94005))) + (/ (sin 0.85617) + (+ (sin -0.22382) + (- (/ x x) + (+ (sin 0.94005) x)))))))) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ 0.58378 0.10236) + (cos x)) + (- (cos (* 0.87538 x)) + (/ (cos (- (+ (* (log 0.74328) + (* x x)) + (* (log -0.81925) -0.68337)) + (- 0.41624 x))) + (* x + (+ 0.58676 x)))))))))))) x) +=== BEST-OF-RUN === + current generation: 43 + generation: 40 + nodes: 139 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 106.7724 + standardized fitness: 106.7724 + adjusted fitness: 0.0093 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (exp (- (/ 0.58731 x) + (cos (exp x)))) + (exp (+ (* (+ (* (/ (- (- (* x x) 0.45955) x) + (* (+ x x) + (- x x))) + (cos -0.75675)) + (- (+ (* x x) + (cos (* x x))) + (- -0.98118 0.21476))) + (- (exp x) + (sin 0.94005))) + (/ (sin 0.85617) + (+ (sin -0.22382) + (- (/ x x) + (+ (sin 0.94005) x)))))))) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ 0.58378 0.10236) + (cos x)) + (- (cos (* 0.87538 x)) + (/ (cos (- (+ (* (log 0.74328) + (* x x)) + (* (log -0.81925) -0.68337)) + (- 0.41624 x))) + (* x + (+ 0.58676 x)))))))))))) x) +=== BEST-OF-RUN === + current generation: 44 + generation: 40 + nodes: 139 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 106.7724 + standardized fitness: 106.7724 + adjusted fitness: 0.0093 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (exp (- (/ 0.58731 x) + (cos (exp x)))) + (exp (+ (* (+ (* (/ (- (- (* x x) 0.45955) x) + 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x x))) + (- -0.98118 0.21476))) + (- (exp x) + (sin 0.94005))) + (/ (sin 0.85617) + (+ (sin -0.22382) + (- (/ x x) + (+ (sin 0.94005) x)))))))) + (/ 0.58731 x)) + (log (- (- (log 0.74328) + (sin 0.94005)) + (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ 0.58378 0.10236) + (cos x)) + (- (cos (* 0.87538 x)) + (/ (cos (- (+ (* (log 0.74328) + (* x x)) + (* (log -0.81925) -0.68337)) + (- 0.41624 x))) + (* x + (+ 0.58676 x)))))))))))) x) +=== BEST-OF-RUN === + current generation: 46 + generation: 46 + nodes: 77 + depth: 13 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 103.3787 + standardized fitness: 103.3787 + adjusted fitness: 0.0096 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (sin (cos (/ (* (cos (/ x + (sin 0.94005))) + (/ 0.58731 x)) + (+ (cos (log 0.74328)) + (log (sin x)))))) + (- (+ (* x x) x) + (- (/ (cos (log 0.74328)) + (exp (/ 0.58731 x))) + (+ (log 0.74328) x))))) + (/ 0.58731 x)) + (log (- (- (exp x) + (* (log x) + (* x x))) + (+ (cos (/ (exp (cos 0.58393)) -0.60102)) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 47 + generation: 46 + nodes: 77 + depth: 13 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 103.3787 + standardized fitness: 103.3787 + adjusted fitness: 0.0096 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (sin (cos (/ (* (cos (/ x + (sin 0.94005))) + (/ 0.58731 x)) + (+ (cos (log 0.74328)) + (log (sin x)))))) + (- (+ (* x x) x) + (- (/ (cos (log 0.74328)) + (exp (/ 0.58731 x))) + (+ (log 0.74328) x))))) + (/ 0.58731 x)) + (log (- (- (exp x) + (* (log x) + (* x x))) + (+ (cos (/ (exp (cos 0.58393)) -0.60102)) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 48 + generation: 46 + nodes: 77 + depth: 13 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 103.3787 + standardized fitness: 103.3787 + adjusted fitness: 0.0096 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (cos (/ (sin (cos (/ (* (cos (/ x + (sin 0.94005))) + (/ 0.58731 x)) + (+ (cos (log 0.74328)) + (log (sin x)))))) + (- (+ (* x x) x) + (- (/ (cos (log 0.74328)) + (exp (/ 0.58731 x))) + (+ (log 0.74328) x))))) + (/ 0.58731 x)) + (log (- (- (exp x) + (* (log x) + (* x x))) + (+ (cos (/ (exp (cos 0.58393)) -0.60102)) + (sin -0.98977)))))) x) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 143 + depth: 17 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 97.4191 + standardized fitness: 97.4191 + adjusted fitness: 0.0102 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (/ (log 0.74328) x) + (/ (log (/ x x)) -0.35416)) + (log (- (log x) + (+ (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ (* (/ -0.73086 x) + (cos -0.75675)) 0.85617) + (cos x)) + (- (cos (* 0.87538 x)) + (/ x + (* x + (+ 0.58676 x)))))))) + (cos (/ (+ (* x + (* (- (log (+ (* -0.21132 x) + (log (exp x)))) + (- (* (cos (* (+ x 0.85617) + (* x x))) + (- (+ x 0.85617) + (* -0.60102 -0.60102))) + (log (* (* 0.94490 x) x)))) + (sin x))) + (log -0.64582)) + (- 0.26089 + (/ (/ (+ (sin -0.22382) + (- (/ x x) + (/ (/ 0.60604 x) + (exp (* (+ x 0.85617) + (* x x)))))) + (* x x)) + (- (sin x) 0.44924)))))))))) x) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 110 + depth: 17 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 94.6946 + standardized fitness: 94.6946 + adjusted fitness: 0.0104 +TREE: + (* (- (+ (* (+ x 0.85617) + (* x x)) x) + (- (* (/ (log 0.74328) x) + (/ (log (/ x x)) -0.35416)) + (log (- (log x) + (+ (+ (* x x) + (/ (+ -0.87061 + (* x x)) + (+ (- (log (- 0.62563 -0.90079)) + (cos x)) + (+ (- (+ (* (/ -0.73086 x) + (cos -0.75675)) 0.85617) + (cos x)) + (- (cos (* 0.87538 x)) + (/ x + (* x + (+ 0.58676 x)))))))) + (cos (/ (+ (* x + (log 0.74328)) + (log -0.64582)) + (- 0.26089 + (/ (/ (+ (sin -0.22382) + (- (/ x x) + (/ (/ 0.60604 x) + (exp (* (+ x 0.85617) + (* x x)))))) + (* x x)) + (- (sin x) 0.44924)))))))))) x) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.prg new file mode 100644 index 0000000..69a8edb --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 3.22605, y = 155.52201 + x = -1.56872, y = 3.08767 + x = 3.89308, y = 307.75831 + x = 1.01814, y = 4.18470 + x = 0.69411, y = 1.74243 + x = 0.23860, y = 0.31236 + x = 2.41690, y = 56.49826 + x = -2.42449, y = 23.75490 + x = -2.82623, y = 46.38771 + x = -3.52346, y = 119.27503 + x = 3.97710, y = 332.89080 + x = 1.53561, y = 13.07556 + x = -2.38268, y = 21.99785 + x = -1.65372, y = 4.03754 + x = -2.80863, y = 45.15099 + x = 4.14225, y = 386.77990 + x = 1.03899, y = 4.40539 + x = 2.41927, y = 56.68802 + x = 4.02083, y = 346.56724 + x = 2.50693, y = 64.04409 + x = -2.17998, y = 14.79702 + x = -3.66968, y = 141.72629 + x = 1.44521, y = 10.91465 + x = -4.81118, y = 442.77237 + x = 2.63938, y = 76.52170 + x = 3.44584, y = 197.22277 + x = 1.53689, y = 13.10832 + x = 2.17468, y = 39.55425 + x = 4.89060, y = 717.85044 + x = 0.37830, y = 0.59603 + x = -3.21552, y = 80.78321 + x = 3.55422, y = 220.66554 + x = 4.43821, y = 499.55651 + x = 2.65041, y = 77.63938 + x = -4.05729, y = 216.59849 + x = -4.85022, y = 457.98317 + x = -3.62093, y = 133.91676 + x = -4.64896, y = 383.60176 + x = 2.82315, y = 96.81815 + x = 4.22937, y = 417.73418 + x = -3.52333, y = 119.25634 + x = -0.64960, y = -0.32367 + x = 2.92091, y = 109.16316 + x = -1.84166, y = 6.80740 + x = -3.26239, y = 85.93637 + x = 1.40373, y = 10.02284 + x = 0.19203, y = 0.23735 + x = 3.34744, y = 177.62202 + x = -2.79165, y = 43.98128 + x = -2.32353, y = 19.67815 + x = 0.67781, y = 1.65972 + x = -4.70589, y = 403.64626 + x = -2.29792, y = 18.73147 + x = -3.88008, y = 179.41391 + x = 3.30165, y = 169.02331 + x = 4.67183, y = 604.83731 + x = -1.00693, y = 0.01404 + x = -3.75733, y = 156.62131 + x = 0.07543, y = 0.08158 + x = 0.54433, y = 1.08969 + x = -1.14047, y = 0.36858 + x = 2.06586, y = 33.36419 + x = -0.24764, y = -0.19774 + x = -2.05559, y = 11.33857 + x = 4.99987, y = 779.92382 + x = -0.37329, y = -0.26654 + x = 3.61470, y = 234.63340 + x = 4.45898, y = 508.31108 + x = -3.39133, y = 101.38080 + x = 0.78764, y = 2.28154 + x = -1.04978, y = 0.10985 + x = 2.69155, y = 81.91659 + x = 0.21092, y = 0.26678 + x = 1.34436, y = 8.84777 + x = -3.17089, y = 76.09513 + x = -2.47409, y = 25.97095 + x = 3.62824, y = 237.84989 + x = 0.32529, y = 0.47671 + x = -3.11283, y = 70.30466 + x = 2.96755, y = 115.45891 + x = -0.54723, y = -0.32197 + x = 0.29422, y = 0.41376 + x = -2.90074, y = 51.90643 + x = -0.65373, y = -0.32311 + x = -3.48123, y = 113.31795 + x = -0.28138, y = -0.21821 + x = -1.19813, y = 0.57817 + x = 1.49380, y = 12.03785 + x = 2.65054, y = 77.65262 + x = 1.31600, y = 8.32638 + x = -3.46492, y = 111.07873 + x = -3.07991, y = 67.17118 + x = 3.74236, y = 266.30838 + x = -2.96449, y = 57.00382 + x = 0.27915, y = 0.38489 + x = -1.21488, y = 0.64635 + x = 4.13947, y = 385.82155 + x = -3.42345, y = 105.53298 + x = -3.67078, y = 141.90634 + x = 4.21170, y = 411.30936 + x = 2.77548, y = 91.20034 + x = 4.86674, y = 704.81084 + x = 1.46027, y = 11.25353 + x = -0.75920, y = -0.28819 + x = 3.22370, y = 155.11558 + x = -4.61641, y = 372.48342 + x = 3.19485, y = 150.19583 + x = 3.35581, y = 179.22928 + x = 4.60115, y = 571.37380 + x = -1.41697, y = 1.77713 + x = 0.86996, y = 2.85799 + x = 2.49927, y = 63.37427 + x = -1.40787, y = 1.71243 + x = 3.75942, y = 270.77414 + x = -0.99075, y = -0.01817 + x = -3.06057, y = 65.37996 + x = 3.32350, y = 173.08525 + x = -2.28315, y = 18.20113 + x = 2.66526, y = 79.16323 + x = 1.21475, y = 6.66032 + x = 0.48724, y = 0.89667 + x = 2.03816, y = 31.91543 + x = 3.12976, y = 139.53158 + x = -2.60302, y = 32.44577 + x = 3.01216, y = 121.73592 + x = -0.91652, y = -0.14078 + x = -3.76872, y = 158.63842 + x = -4.02987, y = 210.49939 + x = 3.12067, y = 138.08980 + x = -3.55447, y = 123.79644 + x = -0.66894, y = -0.32056 + x = -4.72757, y = 411.47966 + x = 0.72414, y = 1.90320 + x = 3.30415, y = 169.48317 + x = -2.90241, y = 52.03530 + x = 1.95349, y = 27.78731 + x = -3.29790, y = 90.00044 + x = -1.66016, y = 4.11666 + x = -4.66298, y = 388.46717 + x = 4.57934, y = 561.33495 + x = 1.39513, y = 9.84535 + x = -3.91498, y = 186.32655 + x = 3.82854, y = 289.45208 + x = -3.56421, y = 125.24238 + x = -4.17123, y = 243.38353 + x = -0.50308, y = -0.31326 + x = -1.20966, y = 0.62473 + x = 1.34539, y = 8.86699 + x = -0.97665, y = -0.04456 + x = -3.80433, y = 165.07442 + x = -2.44616, y = 24.70519 + x = 3.16935, y = 145.94665 + x = -1.54412, y = 2.84348 + x = 4.88370, y = 714.05842 + x = -0.11937, y = -0.10661 + x = 2.50305, y = 63.70430 + x = -0.85739, y = -0.21215 + x = 3.15612, y = 143.77933 + x = -2.85679, y = 48.59547 + x = -3.72980, y = 151.82142 + x = 3.68149, y = 250.82475 + x = -0.14499, y = -0.12657 + x = 3.01879, y = 122.69144 + x = -4.97819, y = 510.59853 + x = 2.18790, y = 40.36261 + x = -0.21506, y = -0.17661 + x = 3.67074, y = 248.16273 + x = -2.84366, y = 47.63795 + x = 2.93065, y = 110.45632 + x = 4.51234, y = 531.32748 + x = 3.14909, y = 142.63758 + x = -3.02189, y = 61.90452 + x = 3.69350, y = 253.82429 + x = 1.46959, y = 11.46746 + x = -1.33909, y = 1.26828 + x = 2.31789, y = 49.00861 + x = -1.41772, y = 1.78250 + x = 3.24606, y = 159.01277 + x = 2.51634, y = 64.87576 + x = -4.49090, y = 331.85804 + x = 4.94087, y = 745.92475 + x = -1.92484, y = 8.37571 + x = 3.82691, y = 289.00261 + x = 1.85046, y = 23.33633 + x = -2.23596, y = 16.58001 + x = 4.47605, y = 515.59101 + x = -2.74636, y = 40.97107 + x = 0.70233, y = 1.78533 + x = -3.88376, y = 180.13274 + x = 2.31265, y = 48.63443 + x = 3.28276, y = 165.56849 + x = 4.54576, y = 546.14249 + x = 0.40918, y = 0.67315 + x = -4.17532, y = 244.38798 + x = -3.56976, y = 126.07151 + x = -0.58298, y = -0.32574 + x = -2.60848, y = 32.74396 + x = -2.64105, y = 34.56521 + x = 2.77488, y = 91.13044 + x = -1.48912, y = 2.34350 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.stt new file mode 100644 index 0000000..58180fc --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0002 0.0000 13.048 3.657 37 6 23 6 0.0000 0.0002 0.0000 13.048 3.657 37 6 23 6 +1 0 0.0000 0.0001 0.0000 12.741 3.914 38 6 14 8 0.0000 0.0002 0.0000 12.894 3.785 37 6 23 6 +2 0 0.0000 0.0001 0.0000 12.995 4.141 35 6 11 5 0.0000 0.0002 0.0000 12.928 3.904 37 6 23 6 +3 0 0.0000 0.0001 0.0000 13.196 4.259 42 11 11 5 0.0000 0.0002 0.0000 12.995 3.993 37 6 23 6 +4 0 0.0000 0.0004 0.0000 13.385 4.399 16 5 14 4 0.0000 0.0004 0.0000 13.073 4.074 16 5 23 6 +5 0 0.0000 0.0006 0.0000 13.471 4.494 19 5 6 4 0.0000 0.0006 0.0000 13.139 4.144 19 5 23 6 +6 0 0.0000 0.0006 0.0000 13.385 4.569 15 5 5 3 0.0000 0.0006 0.0000 13.174 4.205 15 5 23 6 +7 0 0.0000 0.0008 0.0000 13.512 4.639 37 8 18 7 0.0000 0.0008 0.0000 13.217 4.259 37 8 23 6 +8 0 0.0000 0.0013 0.0000 14.354 4.816 13 4 24 8 0.0000 0.0013 0.0000 13.343 4.321 13 4 23 6 +9 0 0.0001 0.0025 0.0000 18.460 5.524 27 6 17 8 0.0000 0.0025 0.0000 13.855 4.441 27 6 23 6 +10 0 0.0002 0.0034 0.0000 27.030 7.017 27 6 25 7 0.0001 0.0034 0.0000 15.052 4.676 27 6 23 6 +11 0 0.0003 0.0054 0.0000 33.444 8.198 21 6 60 12 0.0001 0.0054 0.0000 16.585 4.969 21 6 23 6 +12 0 0.0004 0.0048 0.0000 37.490 8.895 22 5 67 13 0.0001 0.0054 0.0000 18.193 5.271 21 6 23 6 +13 0 0.0004 0.0050 0.0000 41.035 9.440 30 7 34 11 0.0001 0.0054 0.0000 19.825 5.569 21 6 23 6 +14 0 0.0007 0.0055 0.0000 45.891 10.179 33 7 62 12 0.0002 0.0055 0.0000 21.562 5.876 33 7 23 6 +15 0 0.0013 0.0058 0.0000 51.941 11.107 44 12 81 15 0.0002 0.0058 0.0000 23.461 6.203 44 12 23 6 +16 0 0.0018 0.0062 0.0000 56.449 11.808 36 9 54 12 0.0003 0.0062 0.0000 25.402 6.533 36 9 23 6 +17 0 0.0021 0.0065 0.0000 58.898 12.039 33 7 59 12 0.0004 0.0065 0.0000 27.262 6.839 33 7 23 6 +18 0 0.0023 0.0072 0.0000 60.701 12.195 49 11 59 11 0.0005 0.0072 0.0000 29.022 7.121 49 11 23 6 +19 0 0.0024 0.0061 0.0000 61.804 12.291 39 12 99 16 0.0006 0.0072 0.0000 30.662 7.379 49 11 23 6 +20 0 0.0024 0.0061 0.0000 63.487 12.454 72 13 65 17 0.0007 0.0072 0.0000 32.225 7.621 49 11 23 6 +21 0 0.0025 0.0061 0.0000 65.814 12.636 72 13 66 12 0.0008 0.0072 0.0000 33.751 7.849 49 11 23 6 +22 0 0.0026 0.0071 0.0000 67.699 12.766 95 17 136 15 0.0009 0.0072 0.0000 35.227 8.063 49 11 23 6 +23 0 0.0026 0.0062 0.0000 70.298 12.956 70 13 34 8 0.0009 0.0072 0.0000 36.689 8.267 49 11 23 6 +24 0 0.0027 0.0065 0.0000 71.724 13.054 42 10 26 9 0.0010 0.0072 0.0000 38.090 8.458 49 11 23 6 +25 0 0.0028 0.0065 0.0000 73.536 13.157 67 17 66 13 0.0011 0.0072 0.0000 39.453 8.639 49 11 23 6 +26 0 0.0028 0.0077 0.0000 76.034 13.393 29 7 120 17 0.0011 0.0077 0.0000 40.808 8.815 29 7 23 6 +27 0 0.0029 0.0077 0.0000 77.968 13.505 28 7 76 11 0.0012 0.0077 0.0000 42.135 8.982 28 7 23 6 +28 0 0.0030 0.0079 0.0000 79.796 13.662 43 10 76 16 0.0013 0.0079 0.0000 43.434 9.144 43 10 23 6 +29 0 0.0031 0.0074 0.0000 81.755 13.769 34 11 136 17 0.0013 0.0079 0.0000 44.711 9.298 43 10 23 6 +30 0 0.0031 0.0086 0.0000 84.626 13.918 61 10 77 15 0.0014 0.0086 0.0000 45.999 9.447 61 10 23 6 +31 0 0.0032 0.0078 0.0000 86.624 13.976 65 11 72 17 0.0014 0.0086 0.0000 47.268 9.588 61 10 23 6 +32 0 0.0032 0.0072 0.0000 88.283 14.185 64 12 69 16 0.0015 0.0086 0.0000 48.511 9.728 61 10 23 6 +33 0 0.0033 0.0075 0.0000 89.491 14.181 71 11 12 4 0.0015 0.0086 0.0000 49.717 9.859 61 10 23 6 +34 0 0.0033 0.0076 0.0000 90.270 14.151 73 11 17 8 0.0016 0.0086 0.0000 50.875 9.981 61 10 23 6 +35 0 0.0034 0.0076 0.0000 91.965 14.303 84 15 97 15 0.0016 0.0086 0.0000 52.017 10.101 61 10 23 6 +36 0 0.0035 0.0080 0.0000 92.835 14.317 115 16 136 16 0.0017 0.0086 0.0000 53.120 10.215 61 10 23 6 +37 0 0.0035 0.0078 0.0000 93.150 14.345 116 16 108 17 0.0017 0.0086 0.0000 54.173 10.324 61 10 23 6 +38 0 0.0035 0.0081 0.0000 93.553 14.317 126 16 97 15 0.0018 0.0086 0.0000 55.183 10.426 61 10 23 6 +39 0 0.0036 0.0081 0.0000 95.565 14.477 128 16 90 16 0.0018 0.0086 0.0000 56.193 10.528 61 10 23 6 +40 0 0.0036 0.0093 0.0000 95.043 14.354 139 16 124 16 0.0019 0.0093 0.0000 57.140 10.621 139 16 23 6 +41 0 0.0036 0.0080 0.0000 97.268 14.454 47 9 112 16 0.0019 0.0093 0.0000 58.096 10.712 139 16 23 6 +42 0 0.0037 0.0080 0.0000 98.495 14.553 115 16 85 16 0.0020 0.0093 0.0000 59.035 10.802 139 16 23 6 +43 0 0.0038 0.0087 0.0000 99.097 14.567 50 9 93 16 0.0020 0.0093 0.0000 59.946 10.887 139 16 23 6 +44 0 0.0038 0.0084 0.0000 99.151 14.556 67 12 189 17 0.0020 0.0093 0.0000 60.817 10.969 139 16 23 6 +45 0 0.0038 0.0084 0.0000 100.467 14.566 67 12 94 13 0.0021 0.0093 0.0000 61.679 11.047 139 16 23 6 +46 0 0.0039 0.0096 0.0000 102.288 14.696 77 13 123 14 0.0021 0.0096 0.0000 62.543 11.125 77 13 23 6 +47 0 0.0039 0.0096 0.0000 102.353 14.605 101 17 82 12 0.0022 0.0096 0.0000 63.372 11.197 77 13 23 6 +48 0 0.0039 0.0091 0.0000 104.269 14.754 98 17 67 14 0.0022 0.0096 0.0000 64.207 11.270 77 13 23 6 +49 0 0.0039 0.0102 0.0000 106.068 14.758 143 17 12 4 0.0022 0.0102 0.0000 65.044 11.339 143 17 23 6 +50 0 0.0040 0.0104 0.0000 106.436 14.751 110 17 177 17 0.0023 0.0104 0.0000 65.856 11.406 110 17 23 6 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.sys new file mode 100644 index 0000000..cb39740 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_6/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 59. +creating initial population(s): + 5629 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 328626708 + freed: 327624108 + not freed: 1002600 + max allocated: 12133783 + malloc'ed blocks: 740066 + realloc'ed blocks: 11 + free'ed blocks: 739916 + +------- time ------- + overall: 7s wall + evaluation: 5s wall + breeding: 2s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33737 + freed: 33737 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.bst new file mode 100644 index 0000000..d2f6e8a --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.bst @@ -0,0 +1,45 @@ +=== BEST-OF-RUN === + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +TREE-equ: +y = log((((x + exp((log((x + log((exp(log(x)) / (exp((sin(log(cos(x))) - exp(0.56982))) / cos(((0.27165 * 0.48717) - log(exp((x * 0.51767)))))))))) + ((log((log(x) / -0.11285)) - (sin(((cos(x) + ((-0.13433 - x) + (cos(-0.96676) / log((x / -0.68555))))) * (x * -0.81129))) * exp(x))) - (0.05272 * x))))) + x) * ((exp((x / (((-0.44219 * 0.35652) * -0.41758) / (((0.53575 - (sin(x) - sin((x * -0.81129)))) - log(log(0.52374))) + x)))) / exp(x)) - sin(((0.53575 - (sin((0.53575 - (sin(x) - sin((x * -0.81129))))) - sin((x * -0.81129)))) - sin(-0.38775)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.fn new file mode 100644 index 0000000..66e7978 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.fn @@ -0,0 +1,2 @@ + +y = log((((x + exp((log((x + log((exp(log(x)) / (exp((sin(log(cos(x))) - exp(0.56982))) / cos(((0.27165 * 0.48717) - log(exp((x * 0.51767)))))))))) + ((log((log(x) / -0.11285)) - (sin(((cos(x) + ((-0.13433 - x) + (cos(-0.96676) / log((x / -0.68555))))) * (x * -0.81129))) * exp(x))) - (0.05272 * x))))) + x) * ((exp((x / (((-0.44219 * 0.35652) * -0.41758) / (((0.53575 - (sin(x) - sin((x * -0.81129)))) - log(log(0.52374))) + x)))) / exp(x)) - sin(((0.53575 - (sin((0.53575 - (sin(x) - sin((x * -0.81129))))) - sin((x * -0.81129)))) - sin(-0.38775)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.his new file mode 100644 index 0000000..130d319 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.his @@ -0,0 +1,1616 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 14 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 10319.0213 + standardized fitness: 10319.0213 + adjusted fitness: 0.0001 +TREE: + (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (sin 0.76848) + (+ -0.54284 x)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 12 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9789.2036 + standardized fitness: 9789.2036 + adjusted fitness: 0.0001 +TREE: + (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (sin 0.76848) x))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 12 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9789.2036 + standardized fitness: 9789.2036 + adjusted fitness: 0.0001 +TREE: + (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (sin 0.76848) x))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 19 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 9472.8122 + standardized fitness: 9472.8122 + adjusted fitness: 0.0001 +TREE: + (exp (- (- (exp (+ (exp -0.57982) + (log x))) + (* (- 0.45276 -0.69782) + (cos 0.04541))) + (cos (log (sin x))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 19 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 9472.8122 + standardized fitness: 9472.8122 + adjusted fitness: 0.0001 +TREE: + (exp (- (- (exp (+ (exp -0.57982) + (log x))) + (* (- 0.45276 -0.69782) + (cos 0.04541))) + (cos (log (sin x))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 63 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9008.5494 + standardized fitness: 9008.5494 + adjusted fitness: 0.0001 +TREE: + (- (- (/ (+ (exp (sin 0.30092)) + (- -0.82149 + (* x x))) + (log 0.94212)) + (+ (+ (cos (* -0.06806 0.25256)) + (* (+ x x) + (- -0.25282 x))) + (* (+ (cos (sin (cos x))) + (exp x)) + (cos (* x -0.81129))))) + (sin (+ (* (+ (cos x) + (cos -0.67321)) + (+ (log -0.84188) + (- -0.49806 x))) + (- (sin (cos 0.84692)) + (* (exp x) + (* 0.11821 0.96874)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 61 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8986.4169 + standardized fitness: 8986.4169 + adjusted fitness: 0.0001 +TREE: + (- (- (/ (+ (exp (sin 0.30092)) + (- -0.82149 + (* x x))) + (log 0.94212)) + (+ (+ (cos (* -0.06806 0.25256)) + (* (+ x x) + (- -0.25282 x))) + (* (+ (cos (sin (cos x))) + (exp x)) + (cos (* x -0.81129))))) + (sin (+ (* (+ (cos x) + (cos -0.67321)) + (+ (log -0.84188) + (- -0.49806 x))) + (- (sin (cos 0.84692)) + (* (exp x) x))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 61 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8986.4169 + standardized fitness: 8986.4169 + adjusted fitness: 0.0001 +TREE: + (- (- (/ (+ (exp (sin 0.30092)) + (- -0.82149 + (* x x))) + (log 0.94212)) + (+ (+ (cos (* -0.06806 0.25256)) + (* (+ x x) + (- -0.25282 x))) + (* (+ (cos (sin (cos x))) + (exp x)) + (cos (* x -0.81129))))) + (sin (+ (* (+ (cos x) + (cos -0.67321)) + (+ (log -0.84188) + (- -0.49806 x))) + (- (sin (cos 0.84692)) + (* (exp x) x))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 19 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6672.8210 + standardized fitness: 6672.8210 + adjusted fitness: 0.0001 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) + (/ (* (sin (* x x)) + (exp -0.97908)) + (/ 0.82491 -0.49989))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 9 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6286.3397 + standardized fitness: 6286.3397 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 9 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6286.3397 + standardized fitness: 6286.3397 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 9 + nodes: 9 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6286.3397 + standardized fitness: 6286.3397 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 9 + nodes: 9 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6286.3397 + standardized fitness: 6286.3397 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 43 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5782.8777 + standardized fitness: 5782.8777 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) + (- (* (* 0.77716 x) + (/ -0.29065 x)) + (+ (+ (cos (* -0.06806 0.25256)) + (* (+ x x) + (- -0.25282 x))) + (* (+ (cos (- x + (/ x 0.51232))) + (exp x)) + (cos (* x -0.81129)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 17 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4985.3622 + standardized fitness: 4985.3622 + adjusted fitness: 0.0002 +TREE: + (+ (exp (+ (exp (log x)) + (log x))) + (log (exp (- (exp x) + (log (+ 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0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 40 + nodes: 116 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3004.6946 + standardized fitness: 3004.6946 + adjusted fitness: 0.0003 +TREE: + (log (* (+ (+ x + (exp (+ (log (+ x + (log (/ (exp (log x)) + (/ (exp (- (sin (log (cos x))) + (exp 0.56982))) + (cos (- (* 0.27165 0.48717) + (log (exp (* x 0.51767)))))))))) + (- (- (log (/ (log x) -0.11285)) + (* (sin (* (+ (cos x) + (+ (- -0.13433 x) + (/ (cos -0.96676) + (log (/ x -0.68555))))) + (* x -0.81129))) + (exp x))) + (* 0.05272 x))))) x) + (- (/ (exp (/ x + (/ (* (* -0.44219 0.35652) -0.41758) + (+ (- (- 0.53575 + (- (sin x) + (sin (* x -0.81129)))) + (log (log 0.52374))) x)))) + (exp x)) + (sin (- (- 0.53575 + (- (sin (- 0.53575 + (- (sin x) + (sin (* x -0.81129))))) + (sin (* x -0.81129)))) + (sin -0.38775)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.prg new file mode 100644 index 0000000..8d208da --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -2.59054, y = 31.77182 + x = -1.39179, y = 1.60157 + x = -3.79123, y = 162.68494 + x = -4.77667, y = 429.64730 + x = -4.59668, y = 365.86277 + x = 2.49357, y = 62.87847 + x = 3.05951, y = 128.67982 + x = 0.87188, y = 2.87273 + x = 0.99362, y = 3.93663 + x = 1.38955, y = 9.73169 + x = 0.74885, y = 2.04405 + x = 3.17644, y = 147.11958 + x = 2.83970, y = 98.82894 + x = -3.35125, y = 96.37523 + x = -4.59194, y = 364.28611 + x = -0.99792, y = -0.00414 + x = 4.75835, y = 647.79115 + x = -4.58847, y = 363.13233 + x = -0.56662, y = -0.32440 + x = -2.15190, y = 13.95708 + x = -2.89397, y = 51.38581 + x = 2.23932, y = 43.62856 + x = 0.73249, y = 1.94990 + x = -3.68180, y = 143.72017 + x = -4.14263, y = 236.43929 + x = 0.92327, y = 3.28935 + x = 2.44142, y = 58.48230 + x = -1.31373, y = 1.12347 + x = 4.97098, y = 763.13299 + x = 3.90981, y = 312.64505 + x = -1.22029, y = 0.66912 + x = 0.32594, y = 0.47809 + x = 3.84707, y = 294.62190 + x = 0.41630, y = 0.69178 + x = 0.32149, y = 0.46875 + x = -4.10270, y = 226.99245 + x = -4.04242, y = 213.27374 + x = 0.35482, y = 0.54123 + x = 3.32984, y = 174.27827 + x = -1.45118, y = 2.03359 + x = 0.30040, y = 0.42589 + x = -4.91347, y = 483.45120 + x = -1.27242, y = 0.90786 + x = 1.61822, y = 15.33161 + x = 3.02942, y = 124.23264 + x = 0.75347, y = 2.07126 + x = 2.46985, y = 60.84885 + x = 4.80964, y = 674.31872 + x = -1.15780, y = 0.42760 + x = 4.76952, y = 653.50098 + x = 2.20400, y = 41.36449 + x = -2.21614, y = 15.93179 + x = -0.47486, y = -0.30560 + x = 2.98089, y = 117.30994 + x = -4.21279, y = 253.74570 + x = 2.08352, y = 34.31391 + x = -0.23886, y = -0.19218 + x = 0.79247, y = 2.31255 + x = -0.09815, y = -0.08937 + x = 4.50601, y = 528.55958 + x = 1.53599, y = 13.08514 + x = -2.29531, y = 18.63689 + x = 2.54205, y = 67.18806 + x = -2.55520, y = 29.91913 + x = -3.91084, y = 185.49614 + x = 0.66232, y = 1.58396 + x = -0.55114, y = -0.32253 + x = -3.77852, y = 160.39078 + x = -1.38067, y = 1.52746 + x = -0.34542, y = -0.25308 + x = 1.53223, y = 12.98892 + x = 4.94871, y = 750.37735 + x = 1.56933, y = 13.96238 + x = -0.33614, y = -0.24836 + x = 0.64410, y = 1.49829 + x = 4.32217, y = 452.73194 + x = -2.28582, y = 18.29618 + x = 2.75159, y = 88.48005 + x = -4.46901, y = 325.12963 + x = -1.22615, y = 0.69419 + x = -3.83787, y = 171.31276 + x = -3.35105, y = 96.34986 + x = 3.78443, y = 277.42238 + x = -4.53503, y = 345.74387 + x = -2.62618, y = 33.72432 + x = -3.92498, y = 188.34359 + x = 2.78389, y = 92.17284 + x = 1.40227, y = 9.99251 + x = -0.67286, y = -0.31978 + x = 4.65916, y = 598.73620 + x = 1.44844, y = 10.98673 + x = 4.73610, y = 636.53578 + x = -3.26451, y = 86.17508 + x = -1.32474, y = 1.18519 + x = 2.01659, y = 30.82168 + x = 0.35169, y = 0.53417 + x = -1.48280, y = 2.28990 + x = 4.06371, y = 360.38905 + x = -4.02588, y = 209.62139 + x = 3.70725, y = 257.29039 + x = -1.96071, y = 9.12517 + x = 4.71826, y = 627.61417 + x = 4.27864, y = 436.05204 + x = -4.93164, y = 490.96333 + x = 3.60738, y = 232.90839 + x = 0.55505, y = 1.12905 + x = -1.00057, y = 0.00114 + x = -0.93983, y = -0.10650 + x = 0.60707, y = 1.33514 + x = 4.71219, y = 624.60108 + x = 4.29962, y = 444.03307 + x = 3.35887, y = 179.81957 + x = -3.53467, y = 120.89477 + x = 0.24268, y = 0.31934 + x = -1.94243, y = 8.73747 + x = 1.79988, y = 21.36527 + x = -4.03079, y = 210.70197 + x = -1.13321, y = 0.34481 + x = 0.42821, y = 0.72371 + x = 0.73747, y = 1.97820 + x = -2.85488, y = 48.45548 + x = 0.38515, y = 0.61263 + x = -4.75264, y = 420.68336 + x = -0.08791, y = -0.08080 + x = -3.38471, y = 100.54136 + x = 1.81396, y = 21.90038 + x = -4.32993, y = 284.73919 + x = 1.50097, y = 12.21111 + x = 1.05648, y = 4.59761 + x = -4.91095, y = 482.41823 + x = 0.32274, y = 0.47136 + x = 3.65401, y = 244.06315 + x = -2.85548, y = 48.49890 + x = -4.18120, y = 245.83891 + x = -0.52578, y = -0.31826 + x = -2.19674, y = 15.31522 + x = -4.81638, y = 444.77669 + x = -1.45826, y = 2.08934 + x = 2.40739, y = 55.74338 + x = 0.57394, y = 1.20091 + x = -4.89419, y = 475.57829 + x = -1.08289, y = 0.19503 + x = -4.02594, y = 209.63500 + x = 3.58967, y = 228.77298 + x = 2.51405, y = 64.67221 + x = -3.93671, y = 190.72955 + x = 4.48874, y = 521.05510 + x = 1.82340, y = 22.26486 + x = -2.94003, y = 55.00598 + x = -4.79737, y = 437.48620 + x = -0.31838, y = -0.23901 + x = 2.01623, y = 30.80352 + x = -1.99277, y = 9.83463 + x = -4.11493, y = 229.85518 + x = -1.61549, y = 3.58933 + x = -0.61472, y = -0.32634 + x = 2.57374, y = 70.12551 + x = 3.45984, y = 200.13944 + x = 0.59413, y = 1.28144 + x = 0.80412, y = 2.38881 + x = 0.37143, y = 0.57966 + x = -4.54231, y = 348.07342 + x = 1.65278, y = 16.36135 + x = -4.96687, y = 505.76974 + x = 4.60638, y = 573.80193 + x = 0.38252, y = 0.60622 + x = 2.38481, y = 53.98113 + x = -2.12434, y = 13.16726 + x = 2.72864, y = 85.92504 + x = -3.00572, y = 60.49308 + x = 2.31114, y = 48.52751 + x = -0.85420, y = -0.21542 + x = -3.19318, y = 78.41051 + x = 0.22558, y = 0.29053 + x = -3.94415, y = 192.25519 + x = 0.12889, y = 0.14791 + x = -2.62208, y = 33.49554 + x = 4.36229, y = 468.52828 + x = -3.47242, y = 112.10416 + x = 2.23001, y = 43.02253 + x = 4.24023, y = 421.72071 + x = -2.78978, y = 43.85342 + x = -4.09316, y = 224.77861 + x = -4.74764, y = 418.83717 + x = -0.28238, y = -0.21880 + x = -0.13495, y = -0.11887 + x = -2.99877, y = 59.89429 + x = -2.88861, y = 50.97586 + x = -3.78758, y = 162.02335 + x = 4.09171, y = 369.63385 + x = 0.41845, y = 0.69748 + x = 2.30796, y = 48.30213 + x = 0.81310, y = 2.44891 + x = 0.41311, y = 0.68339 + x = 3.26280, y = 161.97769 + x = 0.96001, y = 3.61575 + x = -2.88972, y = 51.06060 + x = 0.74848, y = 2.04186 + x = 2.53382, y = 66.44152 + x = -2.61484, y = 33.09369 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.stt new file mode 100644 index 0000000..07be266 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.076 3.671 14 4 6 5 0.0000 0.0001 0.0000 13.076 3.671 14 4 6 5 +1 0 0.0000 0.0001 0.0000 12.218 3.836 12 4 6 4 0.0000 0.0001 0.0000 12.647 3.753 12 4 6 4 +2 0 0.0000 0.0001 0.0000 12.196 3.998 21 6 15 5 0.0000 0.0001 0.0000 12.497 3.835 12 4 6 4 +3 0 0.0000 0.0001 0.0000 11.824 4.054 19 6 14 6 0.0000 0.0001 0.0000 12.328 3.890 19 6 6 4 +4 0 0.0000 0.0001 0.0000 11.747 4.135 13 4 10 5 0.0000 0.0001 0.0000 12.212 3.939 19 6 6 4 +5 0 0.0000 0.0001 0.0000 11.754 4.166 63 8 41 8 0.0000 0.0001 0.0000 12.136 3.977 63 8 6 4 +6 0 0.0000 0.0001 0.0000 12.270 4.313 61 8 6 4 0.0000 0.0001 0.0000 12.155 4.025 61 8 6 4 +7 0 0.0000 0.0001 0.0000 12.359 4.359 66 11 9 5 0.0000 0.0001 0.0000 12.181 4.067 61 8 6 4 +8 0 0.0000 0.0001 0.0000 12.931 4.487 19 5 35 7 0.0000 0.0001 0.0000 12.264 4.113 19 5 6 4 +9 0 0.0000 0.0002 0.0000 13.930 4.678 9 5 37 9 0.0000 0.0002 0.0000 12.431 4.170 9 5 6 4 +10 0 0.0000 0.0002 0.0000 15.815 5.003 49 15 49 13 0.0000 0.0002 0.0000 12.738 4.245 9 5 6 4 +11 0 0.0000 0.0002 0.0000 18.931 5.450 49 15 40 9 0.0000 0.0002 0.0000 13.254 4.346 9 5 6 4 +12 0 0.0000 0.0002 0.0000 23.135 6.024 50 14 52 10 0.0000 0.0002 0.0000 14.014 4.475 9 5 6 4 +13 0 0.0001 0.0002 0.0000 27.724 6.621 43 8 24 9 0.0000 0.0002 0.0000 14.994 4.628 43 8 6 4 +14 0 0.0001 0.0002 0.0000 33.876 7.406 17 6 21 7 0.0000 0.0002 0.0000 16.252 4.813 17 6 6 4 +15 0 0.0001 0.0002 0.0000 39.783 8.217 16 6 28 8 0.0000 0.0002 0.0000 17.723 5.026 16 6 6 4 +16 0 0.0001 0.0002 0.0000 45.159 8.833 10 5 26 8 0.0000 0.0002 0.0000 19.337 5.250 10 5 6 4 +17 0 0.0001 0.0003 0.0000 50.544 9.486 45 13 77 11 0.0000 0.0003 0.0000 21.071 5.485 45 13 6 4 +18 0 0.0001 0.0003 0.0000 55.207 10.065 56 13 41 10 0.0000 0.0003 0.0000 22.867 5.726 56 13 6 4 +19 0 0.0001 0.0003 0.0000 58.360 10.482 36 13 67 16 0.0000 0.0003 0.0000 24.642 5.964 56 13 6 4 +20 0 0.0001 0.0003 0.0000 60.403 10.769 41 13 88 12 0.0000 0.0003 0.0000 26.345 6.193 56 13 6 4 +21 0 0.0001 0.0003 0.0000 61.650 10.966 55 13 8 6 0.0001 0.0003 0.0000 27.950 6.410 56 13 6 4 +22 0 0.0001 0.0003 0.0000 62.984 11.163 55 13 98 13 0.0001 0.0003 0.0000 29.473 6.617 56 13 6 4 +23 0 0.0001 0.0003 0.0000 64.267 11.333 52 13 99 17 0.0001 0.0003 0.0000 30.923 6.813 56 13 6 4 +24 0 0.0001 0.0003 0.0000 64.963 11.445 37 6 40 10 0.0001 0.0003 0.0000 32.284 6.998 37 6 6 4 +25 0 0.0001 0.0003 0.0000 65.783 11.636 52 13 109 13 0.0001 0.0003 0.0000 33.573 7.177 37 6 6 4 +26 0 0.0001 0.0003 0.0000 65.699 11.709 38 13 76 13 0.0001 0.0003 0.0000 34.763 7.345 37 6 6 4 +27 0 0.0001 0.0003 0.0000 65.528 11.748 39 14 78 12 0.0001 0.0003 0.0000 35.861 7.502 37 6 6 4 +28 0 0.0001 0.0003 0.0000 65.282 11.799 39 14 112 13 0.0001 0.0003 0.0000 36.876 7.650 37 6 6 4 +29 0 0.0001 0.0003 0.0000 65.908 11.900 142 17 87 12 0.0001 0.0003 0.0000 37.844 7.792 142 17 6 4 +30 0 0.0001 0.0003 0.0000 67.073 12.085 39 14 79 13 0.0001 0.0003 0.0000 38.786 7.930 142 17 6 4 +31 0 0.0001 0.0003 0.0000 69.743 12.378 37 14 116 14 0.0001 0.0003 0.0000 39.754 8.069 142 17 6 4 +32 0 0.0001 0.0003 0.0000 72.065 12.568 63 13 60 12 0.0001 0.0003 0.0000 40.733 8.206 63 13 6 4 +33 0 0.0001 0.0003 0.0000 74.392 12.890 63 13 63 13 0.0001 0.0003 0.0000 41.723 8.343 63 13 6 4 +34 0 0.0002 0.0003 0.0000 77.753 13.188 64 13 92 13 0.0001 0.0003 0.0000 42.752 8.482 63 13 6 4 +35 0 0.0002 0.0003 0.0000 80.338 13.375 64 13 46 16 0.0001 0.0003 0.0000 43.796 8.618 63 13 6 4 +36 0 0.0002 0.0003 0.0000 84.226 13.670 87 15 165 17 0.0001 0.0003 0.0000 44.889 8.754 63 13 6 4 +37 0 0.0002 0.0003 0.0000 87.446 13.802 71 15 42 12 0.0001 0.0003 0.0000 46.009 8.887 63 13 6 4 +38 0 0.0002 0.0003 0.0000 92.175 14.075 112 16 127 17 0.0001 0.0003 0.0000 47.193 9.020 112 16 6 4 +39 0 0.0002 0.0003 0.0000 95.763 14.199 91 16 94 14 0.0001 0.0003 0.0000 48.407 9.150 91 16 6 4 +40 0 0.0002 0.0003 0.0000 99.241 14.335 116 16 96 14 0.0001 0.0003 0.0000 49.647 9.276 116 16 6 4 +41 0 0.0002 0.0003 0.0000 102.151 14.410 86 14 100 14 0.0001 0.0003 0.0000 50.897 9.398 116 16 6 4 +42 0 0.0002 0.0003 0.0000 105.258 14.466 75 14 112 16 0.0001 0.0003 0.0000 52.161 9.516 116 16 6 4 +43 0 0.0002 0.0003 0.0000 107.169 14.536 127 14 125 14 0.0001 0.0003 0.0000 53.411 9.630 116 16 6 4 +44 0 0.0002 0.0003 0.0000 109.631 14.606 83 13 53 13 0.0001 0.0003 0.0000 54.661 9.741 116 16 6 4 +45 0 0.0002 0.0003 0.0000 110.749 14.651 133 16 148 17 0.0001 0.0003 0.0000 55.880 9.848 116 16 6 4 +46 0 0.0002 0.0003 0.0000 112.703 14.660 127 16 161 17 0.0001 0.0003 0.0000 57.089 9.950 116 16 6 4 +47 0 0.0002 0.0003 0.0000 113.875 14.687 127 16 107 14 0.0001 0.0003 0.0000 58.272 10.049 116 16 6 4 +48 0 0.0002 0.0003 0.0000 115.350 14.686 132 16 91 16 0.0001 0.0003 0.0000 59.437 10.143 116 16 6 4 +49 0 0.0002 0.0003 0.0000 117.635 14.757 119 14 130 15 0.0001 0.0003 0.0000 60.601 10.236 116 16 6 4 +50 0 0.0002 0.0003 0.0000 120.409 14.793 123 14 89 16 0.0001 0.0003 0.0000 61.774 10.325 116 16 6 4 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.sys new file mode 100644 index 0000000..7e6fb72 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_7/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 15. +creating initial population(s): + 5624 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 317218444 + freed: 316215844 + not freed: 1002600 + max allocated: 13717407 + malloc'ed blocks: 746905 + realloc'ed blocks: 11 + free'ed blocks: 746755 + +------- time ------- + overall: 7s wall + evaluation: 6s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33497 + freed: 33497 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.bst new file mode 100644 index 0000000..e3dda7b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.bst @@ -0,0 +1,21 @@ +=== BEST-OF-RUN === + generation: 28 + nodes: 19 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (/ (+ (* x x) x) + (* x x)))) +TREE-equ: +y = ((x * x) * (((x * x) + x) + (((x * x) + x) / (x * x)))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.fn new file mode 100644 index 0000000..79280a6 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * x) * (((x * x) + x) + (((x * x) + x) / (x * x)))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.his new file mode 100644 index 0000000..4a147c0 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.his @@ -0,0 +1,634 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 43 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13191.5247 + standardized fitness: 13191.5247 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ 0.36646 + (sin (* (sin x) x))) + (exp (exp (* (cos x) + (cos 0.27393))))) + (- (/ -0.65309 + (- (- x + (log -0.92818)) + (/ (sin 0.60339) + (/ 0.44467 x)))) + (- 0.43705 + (* (sin (cos -0.17938)) + (/ (+ x x) + (/ -0.15575 x)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 43 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13191.5247 + standardized fitness: 13191.5247 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ 0.36646 + (sin (* (sin x) x))) + (exp (exp (* (cos x) + (cos 0.27393))))) + (- (/ -0.65309 + (- (- x + (log -0.92818)) + (/ (sin 0.60339) + (/ 0.44467 x)))) + (- 0.43705 + (* (sin (cos -0.17938)) + (/ (+ x x) + (/ -0.15575 x)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 43 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 13191.5247 + standardized fitness: 13191.5247 + adjusted fitness: 0.0001 +TREE: + (- (/ (/ 0.36646 + (sin (* (sin x) x))) + (exp (exp (* (cos x) + (cos 0.27393))))) + (- (/ -0.65309 + (- (- x + (log -0.92818)) + (/ (sin 0.60339) + (/ 0.44467 x)))) + (- 0.43705 + (* (sin (cos -0.17938)) + (/ (+ x x) + (/ -0.15575 x)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 13 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 7413.1868 + standardized fitness: 7413.1868 + adjusted fitness: 0.0001 +TREE: + (* (* (* (* 0.26247 x) + (* x x)) + (exp (log x))) x) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 13 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 7413.1868 + standardized fitness: 7413.1868 + adjusted fitness: 0.0001 +TREE: + (* (* (* (* 0.26247 x) + (* x x)) + (exp (log x))) x) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7036.2090 + standardized fitness: 7036.2090 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7036.2090 + standardized fitness: 7036.2090 + adjusted fitness: 0.0001 +TREE: + (* (* x x) + (* x x)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 18 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6759.6509 + standardized fitness: 6759.6509 + adjusted fitness: 0.0001 +TREE: + (- (+ (* (* x x) + (* x x)) x) + (log (* (/ -0.91796 x) + (sin (exp x))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 18 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6759.6509 + standardized fitness: 6759.6509 + adjusted fitness: 0.0001 +TREE: + (- (+ (* (* x x) + (* x x)) x) + (log (* (/ -0.91796 x) + (sin (exp x))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 9 + depth: 3 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 6523.3950 + standardized fitness: 6523.3950 + adjusted fitness: 0.0002 +TREE: + (+ (* (* x x) + (* x x)) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 9 + depth: 3 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 6523.3950 + standardized fitness: 6523.3950 + adjusted fitness: 0.0002 +TREE: + (+ (* (* x x) + (* x x)) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 9 + nodes: 9 + depth: 3 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 6523.3950 + standardized fitness: 6523.3950 + adjusted fitness: 0.0002 +TREE: + (+ (* (* x x) + (* x x)) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 9 + nodes: 9 + depth: 3 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 6523.3950 + standardized fitness: 6523.3950 + adjusted fitness: 0.0002 +TREE: + (+ (* (* x x) + (* x x)) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 38 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3886.7644 + standardized fitness: 3886.7644 + adjusted fitness: 0.0003 +TREE: + (+ (- (/ 0.37966 x) 0.85229) + (- (* (+ (- (exp x) + (exp (- (* (+ 0.30097 + (* -0.76211 0.16626)) x) + (- x + (sin (cos (exp x))))))) + (/ x x)) + (+ x + (/ (- x 0.49094) x))) x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 14 + depth: 4 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 1307.5779 + standardized fitness: 1307.5779 + adjusted fitness: 0.0008 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (* -0.52096 + (cos x)))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 25 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1075.7979 + standardized fitness: 1075.7979 + adjusted fitness: 0.0009 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (* (- x + (+ 0.33116 + (+ (/ x + (/ x x)) + (log x)))) + (cos x)))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 12 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 575.2736 + standardized fitness: 575.2736 + adjusted fitness: 0.0017 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (cos -0.80135))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 497.1220 + standardized fitness: 497.1220 + adjusted fitness: 0.0020 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (sin (cos 0.45697)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 24 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 316.5523 + standardized fitness: 316.5523 + adjusted fitness: 0.0031 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (- (/ (+ -0.02341 x) + (+ -0.06622 x)) + (/ (log x) + (- 0.36303 x))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 22 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 299.9088 + standardized fitness: 299.9088 + adjusted fitness: 0.0033 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (- (/ (+ -0.02341 x) x) + (/ (log x) + (- 0.36303 x))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 26 + depth: 7 + hits: 8 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 8 + raw fitness: 252.0295 + standardized fitness: 252.0295 + adjusted fitness: 0.0040 +TREE: + (* (* x x) + (+ (+ (+ (* x x) x) + (- (sin (+ (cos -0.79894) + (log x))) -0.05386)) + (/ (- x + (+ -0.58457 x)) x))) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 16 + depth: 5 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 130.3358 + standardized fitness: 130.3358 + adjusted fitness: 0.0076 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (+ (/ (exp -0.24548) x) 0.92996))) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 26 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 108.3309 + standardized fitness: 108.3309 + adjusted fitness: 0.0091 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (exp (sin (/ (+ x + (+ (sin 0.47373) + (cos x))) + (+ (log x) + (* x x))))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 28 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 105.0103 + standardized fitness: 105.0103 + adjusted fitness: 0.0094 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (exp (sin (/ (+ x + (+ (sin 0.47373) + (cos x))) + (+ (* -0.28653 + (exp -0.56513)) + (* x x))))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 23 + nodes: 28 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 105.0103 + standardized fitness: 105.0103 + adjusted fitness: 0.0094 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (exp (sin (/ (+ x + (+ (sin 0.47373) + (cos x))) + (+ (* -0.28653 + (exp -0.56513)) + (* x x))))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 23 + nodes: 28 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 105.0103 + standardized fitness: 105.0103 + adjusted fitness: 0.0094 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (exp (sin (/ (+ x + (+ (sin 0.47373) + (cos x))) + (+ (* -0.28653 + (exp -0.56513)) + (* x x))))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 51 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 98.1097 + standardized fitness: 98.1097 + adjusted fitness: 0.0101 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (- (/ (+ -0.02341 x) x) + (/ (cos (/ (* -0.52096 + (+ (* x x) + (cos (/ (cos (* (* x x) + (+ -0.26136 + (* (/ (sin -0.13290) + (+ x x)) + (cos x))))) + (sin -0.03662))))) + (* x x))) + (- 0.36303 x))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 41 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 77.7551 + standardized fitness: 77.7551 + adjusted fitness: 0.0127 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (exp (sin (/ (+ x + (+ (sin 0.47373) + (/ (* x x) + (+ (+ (* x x) x) + (* x x))))) + (+ (* (+ x x) + (exp -0.56513)) + (* x x))))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 28 + nodes: 19 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (* x x) + (+ (+ (* x x) x) + (/ (+ (* x x) x) + (* x x)))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.prg new file mode 100644 index 0000000..a5b4968 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -2.99652, y = 59.70153 + x = 2.74353, y = 87.57578 + x = 4.88437, y = 714.42965 + x = 4.52170, y = 535.44622 + x = 1.89309, y = 25.10474 + x = 0.53274, y = 1.04830 + x = -2.02134, y = 10.49942 + x = -3.53743, y = 121.29554 + x = 1.28749, y = 7.82708 + x = 0.86184, y = 2.79650 + x = 0.99435, y = 3.94380 + x = -4.45661, y = 321.36540 + x = -3.33998, y = 95.00040 + x = 1.68891, y = 17.49496 + x = -0.46186, y = -0.30156 + x = -4.23972, y = 260.63561 + x = -3.76039, y = 157.16090 + x = -2.84469, y = 47.71251 + x = -3.06699, y = 65.97071 + x = -0.14921, y = -0.12977 + x = 4.18993, y = 403.49858 + x = -3.03620, y = 63.17436 + x = 2.31819, y = 49.02980 + x = -0.97736, y = -0.04327 + x = -4.48940, y = 331.39611 + x = -0.17454, y = -0.14846 + x = 2.66038, y = 78.65969 + x = 3.79850, y = 281.21980 + x = 4.24880, y = 424.88879 + x = -1.09566, y = 0.23063 + x = -4.91948, y = 485.92702 + x = -3.74565, y = 154.57040 + x = 1.92823, y = 26.63965 + x = -0.84098, y = -0.22831 + x = 3.41604, y = 191.12151 + x = -1.88676, y = 7.62914 + x = -2.93877, y = 54.90433 + x = -1.25261, y = 0.81288 + x = -2.52544, y = 28.42252 + x = -1.76868, y = 5.61247 + x = 3.41522, y = 190.95508 + x = 1.89912, y = 25.36331 + x = 0.61162, y = 1.35444 + x = 4.07917, y = 365.47155 + x = -4.51806, y = 340.35494 + x = 1.77933, y = 20.60246 + x = 0.85841, y = 2.77082 + x = -3.71825, y = 149.84195 + x = 0.31284, y = 0.45091 + x = 2.36102, y = 52.17100 + x = 2.60898, y = 73.50710 + x = -2.26101, y = 17.42684 + x = -3.01872, y = 61.62638 + x = -0.30030, y = -0.22907 + x = 2.47772, y = 61.51654 + x = -4.25088, y = 263.52920 + x = -4.18470, y = 246.70637 + x = 0.72535, y = 1.90996 + x = -3.89434, y = 182.21467 + x = -1.22015, y = 0.66853 + x = -1.52849, y = 2.69499 + x = 4.23127, y = 418.43134 + x = 3.98802, y = 336.26432 + x = -1.94383, y = 8.76685 + x = 2.44663, y = 58.91016 + x = 4.09523, y = 370.80891 + x = -0.06824, y = -0.06388 + x = -2.41914, y = 23.52462 + x = 1.20697, y = 6.54425 + x = 2.75881, y = 89.29483 + x = -0.09814, y = -0.08936 + x = 4.95786, y = 755.59860 + x = 1.84246, y = 23.01547 + x = -0.42801, y = -0.28967 + x = 2.24181, y = 43.79193 + x = 1.45094, y = 11.04282 + x = 4.98252, y = 769.80675 + x = -2.38151, y = 21.95010 + x = 1.54492, y = 13.31573 + x = 4.76147, y = 649.38653 + x = -0.98983, y = -0.01992 + x = -3.06498, y = 65.78527 + x = 2.69285, y = 82.05420 + x = 0.46896, y = 0.84037 + x = -4.56717, y = 356.12536 + x = -4.15075, y = 238.39579 + x = -2.73366, y = 40.15513 + x = -1.12794, y = 0.32790 + x = 1.71239, y = 18.26414 + x = 4.32081, y = 452.20515 + x = 3.18148, y = 147.95595 + x = 4.48037, y = 517.44709 + x = 2.54042, y = 67.04021 + x = -0.28425, y = -0.21989 + x = 3.32946, y = 174.20756 + x = 3.45736, y = 199.61957 + x = -4.94334, y = 495.84314 + x = -3.96037, y = 195.61149 + x = -3.16264, y = 75.25184 + x = -0.96901, y = -0.05823 + x = 1.79681, y = 21.24988 + x = -1.76007, y = 5.48206 + x = -0.26317, y = -0.20734 + x = 0.55137, y = 1.11542 + x = -1.64915, y = 3.98204 + x = 0.67396, y = 1.64063 + x = 0.04614, y = 0.04837 + x = 1.51232, y = 12.48918 + x = -0.73313, y = -0.30081 + x = 1.62848, y = 15.63180 + x = 3.48278, y = 204.98966 + x = 1.94324, y = 27.31681 + x = 4.01296, y = 344.07640 + x = -3.21516, y = 80.74445 + x = 0.59837, y = 1.29887 + x = -1.00886, y = 0.01804 + x = -3.30915, y = 91.31744 + x = -0.72774, y = -0.30307 + x = -0.27330, y = -0.21344 + x = 3.98927, y = 336.65404 + x = 4.03857, y = 352.23458 + x = -1.10787, y = 0.26618 + x = -4.25650, y = 264.99861 + x = -2.82402, y = 46.23123 + x = -4.03801, y = 212.29467 + x = -3.33807, y = 94.76902 + x = 0.22103, y = 0.28306 + x = -3.70891, y = 148.25468 + x = -3.77886, y = 160.45272 + x = -3.43215, y = 106.67847 + x = -3.59520, y = 129.92777 + x = -1.52980, y = 2.70728 + x = 3.35162, y = 178.42322 + x = 4.91644, y = 732.18125 + x = -3.72131, y = 150.36479 + x = 2.06693, y = 33.42121 + x = -2.07794, y = 11.91144 + x = 0.90800, y = 3.16082 + x = 4.87058, y = 706.89669 + x = 1.44169, y = 10.83666 + x = 4.15840, y = 392.38087 + x = 2.99408, y = 119.16089 + x = 4.14536, y = 387.85277 + x = 2.72312, y = 85.31938 + x = -4.71775, y = 407.91816 + x = -0.71066, y = -0.30947 + x = 3.73688, y = 264.88434 + x = 0.36444, y = 0.56330 + x = -1.24624, y = 0.78350 + x = 1.66753, y = 16.81706 + x = -1.76367, y = 5.53629 + x = 3.76557, y = 272.39671 + x = 4.81850, y = 678.98388 + x = -4.73049, y = 412.54371 + x = -2.37381, y = 21.63786 + x = -1.67339, y = 4.28221 + x = -0.11169, y = -0.10046 + x = -0.17961, y = -0.15210 + x = -0.72732, y = -0.30324 + x = 1.28392, y = 7.76631 + x = -2.24810, y = 16.98641 + x = 4.13814, y = 385.36370 + x = 1.64174, y = 16.02669 + x = 2.82518, y = 97.06313 + x = 2.47008, y = 60.86795 + x = -4.51129, y = 338.22139 + x = 2.79788, y = 93.80761 + x = -3.71015, y = 148.46599 + x = -3.49740, y = 115.57226 + x = -3.69097, y = 145.24261 + x = 0.25426, y = 0.33953 + x = 1.32641, y = 8.51475 + x = -4.48149, y = 328.95486 + x = 3.05917, y = 128.62951 + x = 0.75294, y = 2.06810 + x = -4.72700, y = 411.27255 + x = -0.92637, y = -0.12675 + x = -4.52602, y = 342.87238 + x = 4.54979, y = 547.94989 + x = 2.63538, y = 76.12011 + x = 1.77363, y = 20.39457 + x = -4.59937, y = 366.75785 + x = 2.01841, y = 30.91280 + x = -0.06279, y = -0.05908 + x = 3.81594, y = 285.97845 + x = -2.73334, y = 40.13460 + x = 1.82846, y = 22.46218 + x = -4.47356, y = 326.52102 + x = -2.55364, y = 29.83940 + x = -4.21002, y = 253.04416 + x = 4.26905, y = 432.44039 + x = -3.36779, y = 98.41752 + x = -0.59460, y = -0.32627 + x = 3.56155, y = 222.32412 + x = -3.81257, y = 166.59181 + x = -2.16801, y = 14.43463 + x = 2.47557, y = 61.33302 + x = -3.91382, y = 186.09225 + x = -3.02982, y = 62.60554 + x = -4.99075, y = 515.99885 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.stt new file mode 100644 index 0000000..0b7b177 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.stt @@ -0,0 +1,30 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.836 3.691 43 6 8 5 0.0000 0.0001 0.0000 12.836 3.691 43 6 8 5 +1 0 0.0000 0.0001 0.0000 11.805 3.811 17 5 4 2 0.0000 0.0001 0.0000 12.320 3.751 43 6 8 5 +2 0 0.0000 0.0001 0.0000 11.614 3.955 19 5 9 5 0.0000 0.0001 0.0000 12.085 3.819 43 6 8 5 +3 0 0.0000 0.0001 0.0000 11.766 4.065 13 4 6 4 0.0000 0.0001 0.0000 12.005 3.881 13 4 8 5 +4 0 0.0000 0.0001 0.0000 12.081 4.210 22 7 9 5 0.0000 0.0001 0.0000 12.020 3.947 13 4 8 5 +5 0 0.0000 0.0001 0.0000 12.019 4.245 7 2 31 8 0.0000 0.0001 0.0000 12.020 3.996 7 2 8 5 +6 0 0.0000 0.0001 0.0000 12.106 4.325 15 6 19 6 0.0000 0.0001 0.0000 12.032 4.043 7 2 8 5 +7 0 0.0000 0.0001 0.0000 12.552 4.455 18 5 14 8 0.0000 0.0001 0.0000 12.097 4.095 18 5 8 5 +8 0 0.0000 0.0001 0.0000 12.592 4.540 19 6 41 15 0.0000 0.0001 0.0000 12.152 4.144 18 5 8 5 +9 0 0.0000 0.0002 0.0000 12.866 4.642 9 3 5 4 0.0000 0.0002 0.0000 12.224 4.194 9 3 8 5 +10 0 0.0000 0.0001 0.0000 13.113 4.739 11 5 12 5 0.0000 0.0002 0.0000 12.305 4.244 9 3 8 5 +11 0 0.0000 0.0002 0.0000 13.443 4.847 9 3 7 4 0.0000 0.0002 0.0000 12.400 4.294 9 3 8 5 +12 0 0.0000 0.0001 0.0000 14.207 5.024 25 8 9 5 0.0000 0.0002 0.0000 12.539 4.350 9 3 8 5 +13 0 0.0000 0.0003 0.0000 14.746 5.158 38 11 17 8 0.0000 0.0003 0.0000 12.696 4.408 38 11 8 5 +14 0 0.0000 0.0008 0.0000 15.362 5.295 14 4 22 8 0.0000 0.0008 0.0000 12.874 4.467 14 4 8 5 +15 0 0.0000 0.0009 0.0000 16.454 5.512 25 8 51 10 0.0000 0.0009 0.0000 13.098 4.532 25 8 8 5 +16 0 0.0000 0.0017 0.0000 18.284 5.827 12 4 13 8 0.0000 0.0017 0.0000 13.403 4.608 12 4 8 5 +17 0 0.0001 0.0020 0.0000 20.063 6.225 13 4 12 6 0.0000 0.0020 0.0000 13.773 4.698 13 4 8 5 +18 0 0.0001 0.0031 0.0000 21.642 6.615 24 5 42 10 0.0000 0.0031 0.0000 14.187 4.799 24 5 8 5 +19 0 0.0003 0.0033 0.0000 23.148 7.270 22 5 60 14 0.0001 0.0033 0.0000 14.635 4.923 22 5 8 5 +20 0 0.0004 0.0040 0.0000 25.123 8.055 26 7 47 17 0.0001 0.0040 0.0000 15.134 5.072 26 7 8 5 +21 0 0.0006 0.0076 0.0000 27.835 8.818 16 5 22 7 0.0001 0.0076 0.0000 15.712 5.242 16 5 8 5 +22 0 0.0008 0.0091 0.0000 30.415 9.494 26 8 15 5 0.0001 0.0091 0.0000 16.351 5.427 26 8 8 5 +23 0 0.0009 0.0094 0.0000 32.704 10.014 28 8 20 7 0.0002 0.0094 0.0000 17.032 5.618 28 8 8 5 +24 0 0.0010 0.0094 0.0000 34.196 10.331 28 8 20 6 0.0002 0.0094 0.0000 17.719 5.806 28 8 8 5 +25 0 0.0011 0.0094 0.0000 36.114 10.644 28 8 17 7 0.0002 0.0094 0.0000 18.426 5.993 28 8 8 5 +26 0 0.0011 0.0101 0.0000 37.353 10.854 51 16 19 7 0.0003 0.0101 0.0000 19.127 6.173 51 16 8 5 +27 0 0.0012 0.0127 0.0000 38.795 11.103 41 11 30 13 0.0003 0.0127 0.0000 19.830 6.349 41 11 8 5 +28 0 0.0016 1.0000 0.0000 40.200 11.239 19 5 30 8 0.0003 1.0000 0.0000 20.532 6.517 19 5 8 5 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.sys new file mode 100644 index 0000000..0cf47fd --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_8/regress.sys @@ -0,0 +1,137 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1530. +creating initial population(s): + 5609 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 68028804 + freed: 67467348 + not freed: 561456 + max allocated: 5308729 + malloc'ed blocks: 427943 + realloc'ed blocks: 9 + free'ed blocks: 427859 + +------- time ------- + overall: 2s wall + evaluation: 2s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 24374 + freed: 24374 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.bst b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.bst new file mode 100644 index 0000000..6e9bd89 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.bst @@ -0,0 +1,45 @@ +=== BEST-OF-RUN === + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +TREE-equ: +y = ((((x * x) * (x - -0.75818)) * x) - (sin(exp(0.88462)) - (((0.88202 * ((sin((((0.29753 / (exp(x) / sin(0.64464))) * ((x * x) - -0.75818)) - (x + log((sin(cos(sin(log(cos(0.35509))))) * (((x * x) / sin(-0.75055)) * exp((0.70765 / x)))))))) - (log((sin(cos(log((x / -0.64731)))) * (((0.52175 / -0.10652) / ((log(x) + 0.44103) * (exp(x) + exp(((x * x) * (x - -0.75818)))))) * (0.52175 / -0.10652)))) + ((0.52175 / -0.10652) + cos(log(log((x - x))))))) + x)) * sin(0.53312)) + (x / ((x / exp(log(-0.44616))) - (exp((x * x)) - (x - -0.75818))))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.fn b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.fn new file mode 100644 index 0000000..54cf7a2 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * x) * (x - -0.75818)) * x) - (sin(exp(0.88462)) - (((0.88202 * ((sin((((0.29753 / (exp(x) / sin(0.64464))) * ((x * x) - -0.75818)) - (x + log((sin(cos(sin(log(cos(0.35509))))) * (((x * x) / sin(-0.75055)) * exp((0.70765 / x)))))))) - (log((sin(cos(log((x / -0.64731)))) * (((0.52175 / -0.10652) / ((log(x) + 0.44103) * (exp(x) + exp(((x * x) * (x - -0.75818)))))) * (0.52175 / -0.10652)))) + ((0.52175 / -0.10652) + cos(log(log((x - x))))))) + x)) * sin(0.53312)) + (x / ((x / exp(log(-0.44616))) - (exp((x * x)) - (x - -0.75818))))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.gen b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.his b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.his new file mode 100644 index 0000000..902b2ad --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.his @@ -0,0 +1,1438 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 16 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 11601.7413 + standardized fitness: 11601.7413 + adjusted fitness: 0.0001 +TREE: + (- (/ (log (exp x)) + (/ (cos -0.61686) + (exp x))) + (log (+ (sin x) + (log 0.96038)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 20 + depth: 4 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 11319.9927 + standardized fitness: 11319.9927 + adjusted 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42 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 38 + nodes: 118 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 302.9136 + standardized fitness: 302.9136 + adjusted fitness: 0.0033 +TREE: + (- (* (* (* x x) + (- x -0.75818)) x) + (- (sin (exp 0.88462)) + (+ (* (* 0.88202 + (+ (- (sin (- (* (/ 0.29753 + (/ (exp x) + (sin 0.64464))) + (- (* x x) -0.75818)) + (+ x + (log (* (sin (cos (sin (log (cos 0.35509))))) + (* (/ (* x x) + (sin -0.75055)) + (exp (/ 0.70765 x)))))))) + (+ (log (* (sin (cos (log (/ x -0.64731)))) + (* (/ (/ 0.52175 -0.10652) + (* (+ (log x) 0.44103) + (+ (exp x) + (exp (* (* x x) + (- x -0.75818)))))) + (/ 0.52175 -0.10652)))) + (+ (/ 0.52175 -0.10652) + (cos (log (log (- x x))))))) x)) + (sin 0.53312)) + (/ x + (- (/ x + (exp (log -0.44616))) + (- (exp (* x x)) + (- x -0.75818))))))) diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.prg b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.prg new file mode 100644 index 0000000..010c7c6 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -2.00880, y = 10.20376 + x = -3.11442, y = 70.45939 + x = 0.83474, y = 2.59872 + x = -2.27426, y = 17.88737 + x = 2.48861, y = 62.45010 + x = 4.46443, y = 510.62645 + x = -2.09724, y = 12.42278 + x = 3.05999, y = 128.75172 + x = -1.64074, y = 3.88138 + x = -4.81850, y = 445.59624 + x = -1.63098, y = 3.76671 + x = 0.98034, y = 3.80718 + x = -3.36740, y = 98.36885 + x = -2.96607, y = 57.13455 + x = -2.13882, y = 13.57799 + x = 0.92622, y = 3.31468 + x = 2.38421, y = 53.93435 + x = 0.92297, y = 3.28676 + x = 1.28964, y = 7.86391 + x = 1.08501, y = 4.92548 + x = 1.14342, y = 5.65512 + x = -2.33553, y = 20.13339 + x = -2.52333, y = 28.31869 + x = -3.97694, y = 199.08775 + x = -3.86973, y = 177.40174 + x = 1.91301, y = 25.96634 + x = 4.64319, y = 591.10561 + x = 0.05578, y = 0.05907 + x = 3.89938, y = 309.59345 + x = -0.20167, y = -0.16755 + x = 1.53870, y = 13.15489 + x = -3.64429, y = 137.61826 + x = 2.03565, y = 31.78686 + x = -4.39157, y = 302.14559 + x = -1.11731, y = 0.29469 + x = 3.59072, y = 229.01722 + x = -4.27694, y = 270.38679 + x = 2.90737, y = 107.38581 + x = 3.09677, y = 134.35207 + x = 0.79586, y = 2.33451 + x = 2.37607, y = 53.31002 + x = 3.98670, y = 335.85572 + x = 3.98801, y = 336.26308 + x = 3.66425, y = 246.56665 + x = -3.18594, y = 77.65283 + x = 4.44284, y = 501.49774 + x = -0.24680, y = -0.19721 + x = 0.27279, y = 0.37304 + x = 1.07694, y = 4.83091 + x = -0.75685, y = -0.28945 + x = 2.31486, y = 48.79185 + x = -4.03918, y = 212.55531 + x = 1.20257, y = 6.47934 + x = -3.11345, y = 70.36509 + x = -3.01348, y = 61.16775 + x = -3.36451, y = 98.00955 + x = -0.15008, y = -0.13043 + x = 0.22632, y = 0.29175 + x = 3.84304, y = 293.49260 + x = 3.89789, y = 309.15865 + x = 3.74137, y = 266.05092 + x = -0.00462, y = -0.00459 + x = 4.96322, y = 758.67216 + x = 2.56340, y = 69.15724 + x = -2.19456, y = 15.24721 + x = -0.61768, y = -0.32625 + x = 1.99232, y = 29.62570 + x = -2.03165, y = 10.74708 + x = -4.78013, y = 430.95256 + x = -1.58165, y = 3.22139 + x = -3.82698, y = 169.26771 + x = -2.88858, y = 50.97396 + x = 4.84603, y = 693.63120 + x = -2.95351, y = 56.10018 + x = 3.77015, y = 273.61268 + x = 0.18261, y = 0.22315 + x = 1.46190, y = 11.29066 + x = -4.40988, y = 307.46635 + x = 4.03654, y = 351.58274 + x = 4.49477, y = 523.66660 + x = -2.93691, y = 54.75453 + x = -0.58313, y = -0.32575 + x = 1.21273, y = 6.63007 + x = -4.99851, y = 519.35277 + x = 1.05696, y = 4.60298 + x = -3.45668, y = 109.95953 + x = -3.60751, y = 131.82602 + x = 4.47225, y = 513.96364 + x = 2.80299, y = 94.41071 + x = 4.50037, y = 526.10030 + x = -3.40160, y = 102.69522 + x = 2.75470, y = 88.83026 + x = 2.68751, y = 81.48844 + x = -0.32158, y = -0.24073 + x = -0.37717, y = -0.26833 + x = 0.26465, y = 0.35812 + x = 4.14067, y = 386.23466 + x = 1.94152, y = 27.23875 + x = 4.89410, y = 719.77724 + x = 1.63146, y = 15.71990 + x = -2.01906, y = 10.44531 + x = -0.83692, y = -0.23209 + x = 1.23625, y = 6.98967 + x = 1.58217, y = 14.31223 + x = -2.81994, y = 45.94286 + x = -2.10201, y = 12.55162 + x = -0.25191, y = -0.20041 + x = 1.20108, y = 6.45743 + x = 0.82959, y = 2.56239 + x = -4.55680, y = 352.74936 + x = -4.75699, y = 422.29655 + x = 0.37767, y = 0.59452 + x = 2.42333, y = 57.01344 + x = 4.34267, y = 460.75221 + x = 2.29949, y = 47.70555 + x = -4.01333, y = 206.88065 + x = 2.30788, y = 48.29611 + x = 0.28480, y = 0.39560 + x = -2.05943, y = 11.43543 + x = 2.54079, y = 67.07371 + x = 0.24165, y = 0.31756 + x = -4.94920, y = 498.30002 + x = -1.92574, y = 8.39398 + x = -1.41159, y = 1.73869 + x = -4.56259, y = 354.63210 + x = 2.00994, y = 30.49023 + x = 0.87517, y = 2.89804 + x = -1.73614, y = 5.13028 + x = 4.86643, y = 704.63822 + x = 0.87217, y = 2.87491 + x = -4.56548, y = 355.57336 + x = -4.73919, y = 415.72552 + x = -0.23947, y = -0.19257 + x = 3.59334, y = 229.62440 + x = 4.25177, y = 425.98716 + x = 1.68542, y = 17.38294 + x = 1.99354, y = 29.68485 + x = 1.87006, y = 24.13706 + x = -2.29800, y = 18.73444 + x = 0.07029, y = 0.07560 + x = -0.76456, y = -0.28523 + x = 1.10768, y = 5.19916 + x = 1.53168, y = 12.97498 + x = -4.73780, y = 415.21728 + x = -0.74127, y = -0.29717 + x = -3.45240, y = 109.38195 + x = -0.31956, y = -0.23965 + x = -0.90090, y = -0.16174 + x = -0.75899, y = -0.28830 + x = 2.61289, y = 73.88937 + x = 4.38948, y = 479.46774 + x = 0.87681, y = 2.91074 + x = 2.07509, y = 33.85826 + x = -0.97807, y = -0.04196 + x = 1.19694, y = 6.39694 + x = -2.27987, y = 18.08492 + x = 4.40255, y = 484.79806 + x = 2.64291, y = 76.87859 + x = 2.33040, y = 49.91022 + x = 0.49464, y = 0.92021 + x = 0.90444, y = 3.13146 + x = 2.87802, y = 103.60798 + x = -1.50092, y = 2.44554 + x = -4.24070, y = 260.88738 + x = 1.20776, y = 6.55596 + x = -0.86468, y = -0.20450 + x = 3.84599, y = 294.31983 + x = 2.16113, y = 38.73848 + x = 0.08394, y = 0.09163 + x = 0.75190, y = 2.06195 + x = 1.30623, y = 8.15245 + x = -1.79122, y = 5.96443 + x = -3.95621, y = 194.74647 + x = 0.32768, y = 0.48177 + x = 3.15131, y = 142.99749 + x = 4.36484, y = 469.54581 + x = -2.02429, y = 10.57000 + x = 4.05233, y = 356.68055 + x = 2.39147, y = 54.49616 + x = 2.71728, y = 84.68193 + x = 2.60739, y = 73.35134 + x = 3.23226, y = 156.59882 + x = 0.93346, y = 3.37743 + x = -0.62822, y = -0.32574 + x = 4.96772, y = 761.25906 + x = -2.44350, y = 24.58710 + x = 1.76173, y = 19.96627 + x = -0.99877, y = -0.00245 + x = -2.61442, y = 33.07078 + x = 0.11644, y = 0.13176 + x = 2.83943, y = 98.79539 + x = 4.83241, y = 686.35814 + x = -3.21388, y = 80.60743 + x = 1.95010, y = 27.63107 + x = 3.76406, y = 271.99785 + x = -3.97334, y = 198.32844 + x = 0.06389, y = 0.06825 + x = -3.79600, y = 163.55248 + x = -2.88911, y = 51.01456 + x = -0.10611, y = -0.09592 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.stt b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.stt new file mode 100644 index 0000000..a711a92 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.330 3.703 16 4 17 6 0.0000 0.0001 0.0000 13.330 3.703 16 4 17 6 +1 0 0.0000 0.0001 0.0000 12.834 3.908 20 4 10 6 0.0000 0.0001 0.0000 13.082 3.805 20 4 17 6 +2 0 0.0000 0.0001 0.0000 12.691 4.082 20 6 4 3 0.0000 0.0001 0.0000 12.952 3.898 20 4 17 6 +3 0 0.0000 0.0002 0.0000 12.667 4.231 7 3 29 8 0.0000 0.0002 0.0000 12.881 3.981 7 3 17 6 +4 0 0.0000 0.0005 0.0000 12.552 4.301 9 3 42 11 0.0000 0.0005 0.0000 12.815 4.045 9 3 17 6 +5 0 0.0000 0.0005 0.0000 12.604 4.379 9 3 5 3 0.0000 0.0005 0.0000 12.780 4.101 9 3 17 6 +6 0 0.0000 0.0005 0.0000 12.404 4.411 16 5 6 4 0.0000 0.0005 0.0000 12.726 4.145 16 5 17 6 +7 0 0.0000 0.0005 0.0000 12.648 4.554 13 4 9 4 0.0000 0.0005 0.0000 12.716 4.196 13 4 17 6 +8 0 0.0001 0.0006 0.0000 13.647 4.850 14 4 35 10 0.0000 0.0006 0.0000 12.820 4.269 14 4 17 6 +9 0 0.0002 0.0015 0.0000 16.850 5.725 14 4 32 13 0.0001 0.0015 0.0000 13.223 4.414 14 4 17 6 +10 0 0.0002 0.0009 0.0000 21.043 6.664 30 8 48 12 0.0001 0.0015 0.0000 13.934 4.619 14 4 17 6 +11 0 0.0003 0.0008 0.0000 24.030 7.375 27 10 31 8 0.0001 0.0015 0.0000 14.775 4.848 14 4 17 6 +12 0 0.0003 0.0016 0.0000 26.533 7.909 22 5 50 14 0.0001 0.0016 0.0000 15.680 5.084 22 5 17 6 +13 0 0.0003 0.0012 0.0000 28.823 8.372 36 10 42 16 0.0001 0.0016 0.0000 16.618 5.319 22 5 17 6 +14 0 0.0003 0.0014 0.0000 31.221 8.851 23 5 65 12 0.0001 0.0016 0.0000 17.592 5.554 22 5 17 6 +15 0 0.0003 0.0016 0.0000 33.014 9.142 27 7 55 17 0.0001 0.0016 0.0000 18.556 5.779 22 5 17 6 +16 0 0.0003 0.0015 0.0000 34.771 9.327 31 6 34 8 0.0002 0.0016 0.0000 19.510 5.987 22 5 17 6 +17 0 0.0003 0.0016 0.0000 36.486 9.539 23 5 48 17 0.0002 0.0016 0.0000 20.453 6.185 22 5 17 6 +18 0 0.0003 0.0016 0.0000 37.994 9.703 24 5 42 12 0.0002 0.0016 0.0000 21.376 6.370 24 5 17 6 +19 0 0.0004 0.0016 0.0000 39.969 9.982 46 12 32 8 0.0002 0.0016 0.0000 22.306 6.550 46 12 17 6 +20 0 0.0004 0.0022 0.0000 41.591 10.115 23 5 39 10 0.0002 0.0022 0.0000 23.224 6.720 23 5 17 6 +21 0 0.0004 0.0023 0.0000 43.814 10.363 29 6 79 16 0.0002 0.0023 0.0000 24.160 6.886 29 6 17 6 +22 0 0.0005 0.0023 0.0000 46.251 10.635 30 6 55 14 0.0002 0.0023 0.0000 25.120 7.049 29 6 17 6 +23 0 0.0005 0.0024 0.0000 48.940 10.924 45 9 42 8 0.0002 0.0024 0.0000 26.113 7.210 45 9 17 6 +24 0 0.0007 0.0024 0.0000 51.530 11.169 45 9 82 17 0.0002 0.0024 0.0000 27.129 7.369 45 9 17 6 +25 0 0.0008 0.0024 0.0000 54.405 11.381 31 8 76 14 0.0003 0.0024 0.0000 28.179 7.523 31 8 17 6 +26 0 0.0009 0.0025 0.0000 57.540 11.677 28 5 31 7 0.0003 0.0025 0.0000 29.266 7.677 28 5 17 6 +27 0 0.0009 0.0028 0.0000 60.405 11.975 22 5 79 14 0.0003 0.0028 0.0000 30.378 7.830 22 5 17 6 +28 0 0.0010 0.0029 0.0000 62.524 12.184 26 8 85 12 0.0003 0.0029 0.0000 31.487 7.980 26 8 17 6 +29 0 0.0010 0.0026 0.0000 64.275 12.347 102 16 51 13 0.0004 0.0029 0.0000 32.580 8.126 26 8 17 6 +30 0 0.0010 0.0026 0.0000 65.490 12.411 105 16 58 10 0.0004 0.0029 0.0000 33.641 8.264 26 8 17 6 +31 0 0.0011 0.0027 0.0000 67.101 12.563 104 16 74 15 0.0004 0.0029 0.0000 34.687 8.398 26 8 17 6 +32 0 0.0011 0.0028 0.0000 69.334 12.751 113 16 28 8 0.0004 0.0029 0.0000 35.737 8.530 26 8 17 6 +33 0 0.0011 0.0028 0.0000 70.540 12.777 54 10 71 10 0.0004 0.0029 0.0000 36.760 8.655 26 8 17 6 +34 0 0.0011 0.0028 0.0000 72.097 12.874 54 10 135 16 0.0005 0.0029 0.0000 37.770 8.776 26 8 17 6 +35 0 0.0011 0.0028 0.0000 72.250 12.865 27 5 51 12 0.0005 0.0029 0.0000 38.728 8.889 26 8 17 6 +36 0 0.0012 0.0032 0.0000 73.351 12.940 108 17 48 8 0.0005 0.0032 0.0000 39.663 8.999 108 17 17 6 +37 0 0.0013 0.0029 0.0000 74.706 12.943 109 17 79 11 0.0005 0.0032 0.0000 40.586 9.103 108 17 17 6 +38 0 0.0013 0.0033 0.0000 75.048 12.916 118 17 92 16 0.0005 0.0033 0.0000 41.469 9.200 118 17 17 6 +39 0 0.0013 0.0031 0.0000 76.649 13.002 41 7 56 11 0.0006 0.0033 0.0000 42.349 9.296 118 17 17 6 +40 0 0.0014 0.0032 0.0000 78.492 13.107 112 17 95 13 0.0006 0.0033 0.0000 43.230 9.388 118 17 17 6 +41 0 0.0014 0.0032 0.0000 80.436 13.155 112 17 80 13 0.0006 0.0033 0.0000 44.116 9.478 118 17 17 6 +42 0 0.0014 0.0032 0.0000 82.216 13.290 86 17 72 17 0.0006 0.0033 0.0000 45.002 9.567 118 17 17 6 +43 0 0.0015 0.0030 0.0000 82.769 13.290 35 7 74 11 0.0006 0.0033 0.0000 45.861 9.651 118 17 17 6 +44 0 0.0015 0.0031 0.0000 84.040 13.365 83 11 120 17 0.0007 0.0033 0.0000 46.709 9.734 118 17 17 6 +45 0 0.0015 0.0030 0.0000 84.359 13.397 65 13 54 10 0.0007 0.0033 0.0000 47.528 9.814 118 17 17 6 +46 0 0.0015 0.0031 0.0000 85.479 13.450 40 7 81 15 0.0007 0.0033 0.0000 48.335 9.891 118 17 17 6 +47 0 0.0015 0.0030 0.0000 86.485 13.532 88 16 43 10 0.0007 0.0033 0.0000 49.130 9.967 118 17 17 6 +48 0 0.0015 0.0031 0.0000 87.061 13.494 95 16 62 17 0.0007 0.0033 0.0000 49.904 10.039 118 17 17 6 +49 0 0.0016 0.0030 0.0000 87.846 13.534 87 13 129 17 0.0007 0.0033 0.0000 50.663 10.109 118 17 17 6 +50 0 0.0016 0.0030 0.0000 89.286 13.696 80 16 81 13 0.0008 0.0033 0.0000 51.420 10.179 118 17 17 6 diff --git a/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.sys b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.sys new file mode 100644 index 0000000..c86161a --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_0/run_9/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 726. +creating initial population(s): + 5588 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 260595573 + freed: 259592973 + not freed: 1002600 + max allocated: 10427944 + malloc'ed blocks: 746837 + realloc'ed blocks: 11 + free'ed blocks: 746687 + +------- time ------- + overall: 6s wall + evaluation: 5s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33977 + freed: 33977 + allocated: 14000 + blocks: 27 diff --git a/PartA/crossover_90_mutation_10_elitism_2/aggregated.tsv b/PartA/crossover_90_mutation_10_elitism_2/aggregated.tsv new file mode 100644 index 0000000..790a387 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/aggregated.tsv @@ -0,0 +1,54 @@ +Runs Generation Count Mean: 34 +Runs Generation Count Mode: 50 occurred (4) time(s) +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0 0.00011 0 12.9823 3.6655 14 4 23 5 0 0.00011 0 12.9823 3.6655 14 4 23 5 +1 0 0 0.00013 0 12.2965 3.8626 13 4 17 5 0 0.00013 0 12.6393 3.7639 13 4 25 6 +2 0 0 0.00014 0 12.2801 4.0114 19 5 14 6 0 0.00014 0 12.5195 3.8466 19 5 24 5 +3 0 0 0.00017 0 12.3125 4.1486 19 6 18 6 0 0.00017 0 12.4678 3.922 19 6 24 5 +4 0 0 0.00019 0 12.4494 4.2718 27 7 15 5 0 0.00019 0 12.4641 3.992 27 7 24 5 +5 0 0 0.00025 0 12.617 4.4067 27 7 15 6 0 0.00025 0 12.4897 4.061 27 7 22 5 +6 0 1e-05 0.00031 0 13.0127 4.5872 24 6 17 6 0 0.00031 0 12.5644 4.1363 24 6 22 5 +7 0 1e-05 0.00038 0 13.7013 4.8495 24 7 13 5 0 0.00038 0 12.7064 4.2253 24 7 22 5 +8 0 1e-05 0.00061 0 14.6523 5.155 20 6 18 6 1e-05 0.00061 0 12.9227 4.3288 20 6 22 5 +9 0 2e-05 0.00086 0 16.0873 5.533 21 7 31 9 1e-05 0.00086 0 13.2392 4.4491 21 7 22 5 +10 0 5e-05 0.0026 0 18.1309 5.9757 23 7 34 8 1e-05 0.0026 0 13.6837 4.5878 23 7 22 5 +11 0 9e-05 0.00264 0 20.9214 6.5825 30 8 35 9 1e-05 0.00264 0 14.2869 4.7541 30 8 22 5 +12 0 0.0002 0.10095 0 24.4841 7.3012 32 8 42 10 3e-05 0.10095 0 15.0713 4.9501 32 8 22 5 +13 0 0.0001 0.00256 0 26.183 7.3261 32 9 38 9 3e-05 0.00256 0 14.6489 4.6999 32 9 20 4 +14 0 0.00016 0.01114 0 29.5972 7.9847 31 8 26 7 6e-05 0.01114 0 15.6456 4.9189 31 8 20 4 +15 0 0.00026 0.01266 0 32.5116 8.5006 33 8 39 10 7e-05 0.01266 0 16.6995 5.1428 33 8 20 4 +16 0 0.00065 0.03394 0 34.9656 8.8272 32 8 51 11 0.00011 0.03394 0 17.774 5.3597 32 8 20 4 +17 0 0.00144 0.1211 0 37.5817 9.1523 31 8 50 12 0.00018 0.1211 0 18.8746 5.5703 31 8 20 4 +18 0 0.00125 0.03371 0 36.8776 8.1955 32 9 37 8 0.00019 0.03371 0 17.6313 4.9104 32 9 16 4 +19 0 0.00273 0.04446 0 40.5121 8.6014 35 8 41 8 0.00031 0.04446 0 18.7754 5.0951 35 8 16 4 +20 0 0.00547 0.06094 0 43.9742 9.0584 39 8 56 10 0.00057 0.06094 0 19.9754 5.2838 39 8 16 4 +21 0 0.00044 0.00486 0 39.7383 8.2375 43 8 56 11 0.0001 0.00486 0 18.7757 4.8222 43 8 16 3 +22 0 0.0006 0.10417 0 41.5115 8.5014 41 8 47 9 0.00011 0.10417 0 19.7642 4.9821 41 8 16 3 +23 0 0.0006 0.00425 0 39.7946 7.6057 45 8 41 7 0.00014 0.00425 0 18.5916 4.4862 45 8 14 3 +24 0 0.00069 0.00631 0 41.1412 7.7224 44 8 43 8 0.00015 0.00631 0 19.4935 4.6157 44 8 14 3 +25 0 0.00078 0.00659 0 42.3329 7.8192 47 8 51 9 0.00017 0.00659 0 20.372 4.7388 47 8 14 3 +26 0 0.00088 0.00674 0 43.3881 7.9151 49 8 48 8 0.0002 0.00674 0 21.2245 4.8565 49 8 14 3 +27 0 0.00098 0.00695 0 44.2697 7.9654 45 8 50 8 0.00023 0.00695 0 22.0475 4.9676 45 8 14 3 +28 0 0.00111 0.00707 0 45.2234 8.0311 45 8 32 6 0.00025 0.00707 0 22.8467 5.0731 45 8 14 3 +29 0 0.00134 0.01162 0 45.9988 8.0691 49 9 42 8 0.00029 0.01162 0 23.6185 5.1731 49 9 14 3 +30 0 0.00167 0.03829 0 46.7442 8.0893 45 8 63 8 0.00033 0.03829 0 24.3644 5.2673 45 8 14 3 +31 0 0.00212 0.10174 0 47.4916 8.1378 41 8 51 8 0.00039 0.10174 0 25.0871 5.3568 41 8 14 3 +32 0 0.00041 0.00179 0 43.9368 6.9293 34 6 44 7 0.00011 0.00179 0 22.9178 4.5783 34 6 13 2 +33 0 0.00047 0.00205 0 44.8674 6.9942 33 6 44 7 0.00012 0.00205 0 23.5633 4.6494 33 6 13 2 +34 0 0.00052 0.00247 0 45.734 7.0443 38 6 62 7 0.00013 0.00247 0 24.1969 4.7178 38 6 13 2 +35 0 0.00055 0.00248 0 46.2536 7.0756 37 6 52 7 0.00014 0.00248 0 24.8095 4.7833 37 6 13 2 +36 0 0.00055 0.01018 0 46.6473 7.0866 36 6 43 6 0.00015 0.01018 0 25.3996 4.8455 36 6 13 2 +37 0 0.0006 0.01151 0 47.6153 7.1295 39 6 42 6 0.00016 0.01151 0 25.9842 4.9056 39 6 13 2 +38 0 0.00066 0.01571 0 48.3356 7.1677 35 6 56 7 0.00017 0.01571 0 26.5574 4.9636 35 6 13 2 +39 0 0.00077 0.01834 0 48.6135 7.1823 36 6 36 5 0.00018 0.01834 0 27.1088 5.0192 36 6 13 2 +40 0 0.00103 0.01835 0 48.4066 7.1712 38 6 40 6 0.00021 0.01835 0 27.6283 5.0715 38 6 13 2 +41 0 0.00156 0.01836 0 47.6452 7.1554 38 6 55 6 0.00024 0.01836 0 28.1049 5.1211 38 6 13 2 +42 0 0.00224 0.02061 0 46.6772 7.1191 41 6 37 6 0.0003 0.02061 0 28.5367 5.1677 41 6 13 2 +43 0 0.00312 0.05405 0 46.3881 7.1268 44 6 42 7 0.00036 0.05405 0 28.9424 5.2122 44 6 13 2 +44 0 0.00406 0.065 0 46.6073 7.1874 51 7 34 6 0.00044 0.065 0 29.3351 5.2563 51 7 13 2 +45 0 0.00578 0.09692 0 47.0408 7.2143 45 7 47 6 0.00056 0.09692 0 29.7199 5.2986 45 7 13 2 +46 0 0.00012 0.00041 0 41.7933 5.9323 40 6 40 5 6e-05 0.00041 0 24.4401 4.2532 40 6 12 2 +47 0 0.00012 0.00042 0 42.4071 5.9701 41 6 35 5 7e-05 0.00042 0 24.8144 4.2889 41 6 12 2 +48 0 0.00013 0.00044 0 42.5487 5.9797 43 6 45 6 7e-05 0.00044 0 25.1764 4.3234 43 6 12 2 +49 0 0.00015 0.00045 0 42.8466 5.9983 44 6 41 5 7e-05 0.00045 0 25.5297 4.357 44 6 12 2 +50 0 0.00016 0.00047 0 43.0525 6.0064 47 5 46 5 7e-05 0.00047 0 25.8733 4.3893 47 5 12 2 diff --git a/PartA/crossover_90_mutation_10_elitism_2/crossover_90_mutation_10_elitism_2.tsv b/PartA/crossover_90_mutation_10_elitism_2/crossover_90_mutation_10_elitism_2.tsv new file mode 100644 index 0000000..bc3ad1c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/crossover_90_mutation_10_elitism_2.tsv @@ -0,0 +1,410 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +=AVERAGE(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =AVERAGE(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =AVERAGE(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =AVERAGE(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =AVERAGE(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =AVERAGE(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =AVERAGE(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =AVERAGE(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =AVERAGE(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =AVERAGE(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =AVERAGE(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =AVERAGE(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =AVERAGE(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =AVERAGE(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =AVERAGE(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =AVERAGE(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =AVERAGE(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =AVERAGE(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =AVERAGE(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =AVERAGE(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a54, a55, a56, a57, a58, a59, a60, a61, a62, a63) =STDEV.P(b54, b55, b56, b57, b58, b59, b60, b61, b62, b63) =STDEV.P(c54, c55, c56, c57, c58, c59, c60, c61, c62, c63) =STDEV.P(d54, d55, d56, d57, d58, d59, d60, d61, d62, d63) =STDEV.P(e54, e55, e56, e57, e58, e59, e60, e61, e62, e63) =STDEV.P(f54, f55, f56, f57, f58, f59, f60, f61, f62, f63) =STDEV.P(g54, g55, g56, g57, g58, g59, g60, g61, g62, g63) =STDEV.P(h54, h55, h56, h57, h58, h59, h60, h61, h62, h63) =STDEV.P(i54, i55, i56, i57, i58, i59, i60, i61, i62, i63) =STDEV.P(j54, j55, j56, j57, j58, j59, j60, j61, j62, j63) =STDEV.P(k54, k55, k56, k57, k58, k59, k60, k61, k62, k63) =STDEV.P(l54, l55, l56, l57, l58, l59, l60, l61, l62, l63) =STDEV.P(m54, m55, m56, m57, m58, m59, m60, m61, m62, m63) =STDEV.P(n54, n55, n56, n57, n58, n59, n60, n61, n62, n63) =STDEV.P(o54, o55, o56, o57, o58, o59, o60, o61, o62, o63) =STDEV.P(p54, p55, p56, p57, p58, p59, p60, p61, p62, p63) =STDEV.P(q54, q55, q56, q57, q58, q59, q60, q61, q62, q63) =STDEV.P(r54, r55, r56, r57, r58, r59, r60, r61, r62, r63) =STDEV.P(s54, s55, s56, s57, s58, s59, s60, s61, s62, s63) =STDEV.P(t54, t55, t56, t57, t58, t59, t60, t61, t62, t63) =STDEV.P(a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22, a23, a24, a25, a26, a27, a28, a29, a30, a31, a32, a33, a34, a35, a36, a37, a38, a39, a40, a41, a42, a43, a44, a45, a46, a47, a48, a49, a50, a51, a52) =STDEV.P(b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16, b17, b18, b19, b20, b21, b22, b23, b24, b25, b26, b27, b28, b29, b30, b31, b32, b33, b34, b35, b36, b37, b38, b39, b40, b41, b42, b43, b44, b45, b46, b47, b48, b49, b50, b51, b52) =STDEV.P(c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29, c30, c31, c32, c33, c34, c35, c36, c37, c38, c39, c40, c41, c42, c43, c44, c45, c46, c47, c48, c49, c50, c51, c52) =STDEV.P(d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, d16, d17, d18, d19, d20, d21, d22, d23, d24, d25, d26, d27, d28, d29, d30, d31, d32, d33, d34, d35, d36, d37, d38, d39, d40, d41, d42, d43, d44, d45, d46, d47, d48, d49, d50, d51, d52) =STDEV.P(e2, e3, e4, e5, e6, e7, e8, e9, e10, e11, e12, e13, e14, e15, e16, e17, e18, e19, e20, e21, e22, e23, e24, e25, e26, e27, e28, e29, e30, e31, e32, e33, e34, e35, e36, e37, e38, e39, e40, e41, e42, e43, e44, e45, e46, e47, e48, e49, e50, e51, e52) =STDEV.P(f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f23, f24, f25, f26, f27, f28, f29, f30, f31, f32, f33, f34, f35, f36, f37, f38, f39, f40, f41, f42, f43, f44, f45, f46, f47, f48, f49, f50, f51, f52) =STDEV.P(g2, g3, g4, g5, g6, g7, g8, g9, g10, g11, g12, g13, g14, g15, g16, g17, g18, g19, g20, g21, g22, g23, g24, g25, g26, g27, g28, g29, g30, g31, g32, g33, g34, g35, g36, g37, g38, g39, g40, g41, g42, g43, g44, g45, g46, g47, g48, g49, g50, g51, g52) =STDEV.P(h2, h3, h4, h5, h6, h7, h8, h9, h10, h11, h12, h13, h14, h15, h16, h17, h18, h19, h20, h21, h22, h23, h24, h25, h26, h27, h28, h29, h30, h31, h32, h33, h34, h35, h36, h37, h38, h39, h40, h41, h42, h43, h44, h45, h46, h47, h48, h49, h50, h51, h52) =STDEV.P(i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13, i14, i15, i16, i17, i18, i19, i20, i21, i22, i23, i24, i25, i26, i27, i28, i29, i30, i31, i32, i33, i34, i35, i36, i37, i38, i39, i40, i41, i42, i43, i44, i45, i46, i47, i48, i49, i50, i51, i52) =STDEV.P(j2, j3, j4, j5, j6, j7, j8, j9, j10, j11, j12, j13, j14, j15, j16, j17, j18, j19, j20, j21, j22, j23, j24, j25, j26, j27, j28, j29, j30, j31, j32, j33, j34, j35, j36, j37, j38, j39, j40, j41, j42, j43, j44, j45, j46, j47, j48, j49, j50, j51, j52) =STDEV.P(k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12, k13, k14, k15, k16, k17, k18, k19, k20, k21, k22, k23, k24, k25, k26, k27, k28, k29, k30, k31, k32, k33, k34, k35, k36, k37, k38, k39, k40, k41, k42, k43, k44, k45, k46, k47, k48, k49, k50, k51, k52) =STDEV.P(l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12, l13, l14, l15, l16, l17, l18, l19, l20, l21, l22, l23, l24, l25, l26, l27, l28, l29, l30, l31, l32, l33, l34, l35, l36, l37, l38, l39, l40, l41, l42, l43, l44, l45, l46, l47, l48, l49, l50, l51, l52) =STDEV.P(m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, m16, m17, m18, m19, m20, m21, m22, m23, m24, m25, m26, m27, m28, m29, m30, m31, m32, m33, m34, m35, m36, m37, m38, m39, m40, m41, m42, m43, m44, m45, m46, m47, m48, m49, m50, m51, m52) =STDEV.P(n2, n3, n4, n5, n6, n7, n8, n9, n10, n11, n12, n13, n14, n15, n16, n17, n18, n19, n20, n21, n22, n23, n24, n25, n26, n27, n28, n29, n30, n31, n32, n33, n34, n35, n36, n37, n38, n39, n40, n41, n42, n43, n44, n45, n46, n47, n48, n49, n50, n51, n52) =STDEV.P(o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12, o13, o14, o15, o16, o17, o18, o19, o20, o21, o22, o23, o24, o25, o26, o27, o28, o29, o30, o31, o32, o33, o34, o35, o36, o37, o38, o39, o40, o41, o42, o43, o44, o45, o46, o47, o48, o49, o50, o51, o52) =STDEV.P(p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, p50, p51, p52) =STDEV.P(q2, q3, q4, q5, q6, q7, q8, q9, q10, q11, q12, q13, q14, q15, q16, q17, q18, q19, q20, q21, q22, q23, q24, q25, q26, q27, q28, q29, q30, q31, q32, q33, q34, q35, q36, q37, q38, q39, q40, q41, q42, q43, q44, q45, q46, q47, q48, q49, q50, q51, q52) =STDEV.P(r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r34, r35, r36, r37, r38, r39, r40, r41, r42, r43, r44, r45, r46, r47, r48, r49, r50, r51, r52) =STDEV.P(s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15, s16, s17, s18, s19, s20, s21, s22, s23, s24, s25, s26, s27, s28, s29, s30, s31, s32, s33, s34, s35, s36, s37, s38, s39, s40, s41, s42, s43, s44, s45, s46, s47, s48, s49, s50, s51, s52) =STDEV.P(t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t21, t22, t23, t24, t25, t26, t27, t28, t29, t30, t31, t32, t33, t34, t35, t36, t37, t38, t39, t40, t41, t42, t43, t44, t45, t46, t47, t48, t49, t50, t51, t52) +=AVERAGE(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =AVERAGE(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =AVERAGE(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =AVERAGE(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =AVERAGE(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =AVERAGE(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =AVERAGE(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =AVERAGE(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =AVERAGE(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =AVERAGE(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =AVERAGE(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =AVERAGE(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =AVERAGE(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =AVERAGE(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =AVERAGE(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =AVERAGE(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =AVERAGE(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =AVERAGE(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =AVERAGE(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =AVERAGE(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) =STDEV.P(a64, a65, a66, a67, a68, a69, a70, a71, a72, a73) =STDEV.P(b64, b65, b66, b67, b68, b69, b70, b71, b72, b73) =STDEV.P(c64, c65, c66, c67, c68, c69, c70, c71, c72, c73) =STDEV.P(d64, d65, d66, d67, d68, d69, d70, d71, d72, d73) =STDEV.P(e64, e65, e66, e67, e68, e69, e70, e71, e72, e73) =STDEV.P(f64, f65, f66, f67, f68, f69, f70, f71, f72, f73) =STDEV.P(g64, g65, g66, g67, g68, g69, g70, g71, g72, g73) =STDEV.P(h64, h65, h66, h67, h68, h69, h70, h71, h72, h73) =STDEV.P(i64, i65, i66, i67, i68, i69, i70, i71, i72, i73) =STDEV.P(j64, j65, j66, j67, j68, j69, j70, j71, j72, j73) =STDEV.P(k64, k65, k66, k67, k68, k69, k70, k71, k72, k73) =STDEV.P(l64, l65, l66, l67, l68, l69, l70, l71, l72, l73) =STDEV.P(m64, m65, m66, m67, m68, m69, m70, m71, m72, m73) =STDEV.P(n64, n65, n66, n67, n68, n69, n70, n71, n72, n73) =STDEV.P(o64, o65, o66, o67, o68, o69, o70, o71, o72, o73) =STDEV.P(p64, p65, p66, p67, p68, p69, p70, p71, p72, p73) =STDEV.P(q64, q65, q66, q67, q68, q69, q70, q71, q72, q73) =STDEV.P(r64, r65, r66, r67, r68, r69, r70, r71, r72, r73) =STDEV.P(s64, s65, s66, s67, s68, s69, s70, s71, s72, s73) =STDEV.P(t64, t65, t66, t67, t68, t69, t70, t71, t72, t73) +=AVERAGE(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =AVERAGE(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =AVERAGE(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =AVERAGE(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =AVERAGE(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =AVERAGE(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =AVERAGE(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =AVERAGE(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =AVERAGE(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =AVERAGE(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =AVERAGE(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =AVERAGE(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =AVERAGE(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =AVERAGE(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =AVERAGE(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =AVERAGE(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =AVERAGE(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =AVERAGE(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =AVERAGE(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =AVERAGE(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) =STDEV.P(a74, a75, a76, a77, a78, a79, a80, a81, a82, a83) =STDEV.P(b74, b75, b76, b77, b78, b79, b80, b81, b82, b83) =STDEV.P(c74, c75, c76, c77, c78, c79, c80, c81, c82, c83) =STDEV.P(d74, d75, d76, d77, d78, d79, d80, d81, d82, d83) =STDEV.P(e74, e75, e76, e77, e78, e79, e80, e81, e82, e83) =STDEV.P(f74, f75, f76, f77, f78, f79, f80, f81, f82, f83) =STDEV.P(g74, g75, g76, g77, g78, g79, g80, g81, g82, g83) =STDEV.P(h74, h75, h76, h77, h78, h79, h80, h81, h82, h83) =STDEV.P(i74, i75, i76, i77, i78, i79, i80, i81, i82, i83) =STDEV.P(j74, j75, j76, j77, j78, j79, j80, j81, j82, j83) =STDEV.P(k74, k75, k76, k77, k78, k79, k80, k81, k82, k83) =STDEV.P(l74, l75, l76, l77, l78, l79, l80, l81, l82, l83) =STDEV.P(m74, m75, m76, m77, m78, m79, m80, m81, m82, m83) =STDEV.P(n74, n75, n76, n77, n78, n79, n80, n81, n82, n83) =STDEV.P(o74, o75, o76, o77, o78, o79, o80, o81, o82, o83) =STDEV.P(p74, p75, p76, p77, p78, p79, p80, p81, p82, p83) =STDEV.P(q74, q75, q76, q77, q78, q79, q80, q81, q82, q83) =STDEV.P(r74, r75, r76, r77, r78, r79, r80, r81, r82, r83) =STDEV.P(s74, s75, s76, s77, s78, s79, s80, s81, s82, s83) =STDEV.P(t74, t75, t76, t77, t78, t79, t80, t81, t82, t83) +=AVERAGE(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =AVERAGE(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =AVERAGE(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =AVERAGE(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =AVERAGE(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =AVERAGE(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =AVERAGE(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =AVERAGE(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =AVERAGE(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =AVERAGE(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =AVERAGE(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =AVERAGE(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =AVERAGE(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =AVERAGE(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =AVERAGE(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =AVERAGE(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =AVERAGE(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =AVERAGE(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =AVERAGE(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =AVERAGE(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) =STDEV.P(a84, a85, a86, a87, a88, a89, a90, a91, a92, a93) =STDEV.P(b84, b85, b86, b87, b88, b89, b90, b91, b92, b93) =STDEV.P(c84, c85, c86, c87, c88, c89, c90, c91, c92, c93) =STDEV.P(d84, d85, d86, d87, d88, d89, d90, d91, d92, d93) =STDEV.P(e84, e85, e86, e87, e88, e89, e90, e91, e92, e93) =STDEV.P(f84, f85, f86, f87, f88, f89, f90, f91, f92, f93) =STDEV.P(g84, g85, g86, g87, g88, g89, g90, g91, g92, g93) =STDEV.P(h84, h85, h86, h87, h88, h89, h90, h91, h92, h93) =STDEV.P(i84, i85, i86, i87, i88, i89, i90, i91, i92, i93) =STDEV.P(j84, j85, j86, j87, j88, j89, j90, j91, j92, j93) =STDEV.P(k84, k85, k86, k87, k88, k89, k90, k91, k92, k93) =STDEV.P(l84, l85, l86, l87, l88, l89, l90, l91, l92, l93) =STDEV.P(m84, m85, m86, m87, m88, m89, m90, m91, m92, m93) =STDEV.P(n84, n85, n86, n87, n88, n89, n90, n91, n92, n93) =STDEV.P(o84, o85, o86, o87, o88, o89, o90, o91, o92, o93) =STDEV.P(p84, p85, p86, p87, p88, p89, p90, p91, p92, p93) =STDEV.P(q84, q85, q86, q87, q88, q89, q90, q91, q92, q93) =STDEV.P(r84, r85, r86, r87, r88, r89, r90, r91, r92, r93) =STDEV.P(s84, s85, s86, s87, s88, s89, s90, s91, s92, s93) =STDEV.P(t84, t85, t86, t87, t88, t89, t90, t91, t92, t93) +=AVERAGE(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =AVERAGE(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =AVERAGE(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =AVERAGE(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =AVERAGE(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =AVERAGE(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =AVERAGE(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =AVERAGE(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =AVERAGE(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =AVERAGE(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =AVERAGE(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =AVERAGE(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =AVERAGE(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =AVERAGE(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =AVERAGE(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =AVERAGE(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =AVERAGE(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =AVERAGE(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =AVERAGE(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =AVERAGE(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) =STDEV.P(a94, a95, a96, a97, a98, a99, a100, a101, a102, a103) =STDEV.P(b94, b95, b96, b97, b98, b99, b100, b101, b102, b103) =STDEV.P(c94, c95, c96, c97, c98, c99, c100, c101, c102, c103) =STDEV.P(d94, d95, d96, d97, d98, d99, d100, d101, d102, d103) =STDEV.P(e94, e95, e96, e97, e98, e99, e100, e101, e102, e103) =STDEV.P(f94, f95, f96, f97, f98, f99, f100, f101, f102, f103) =STDEV.P(g94, g95, g96, g97, g98, g99, g100, g101, g102, g103) =STDEV.P(h94, h95, h96, h97, h98, h99, h100, h101, h102, h103) =STDEV.P(i94, i95, i96, i97, i98, i99, i100, i101, i102, i103) =STDEV.P(j94, j95, j96, j97, j98, j99, j100, j101, j102, j103) =STDEV.P(k94, k95, k96, k97, k98, k99, k100, k101, k102, k103) =STDEV.P(l94, l95, l96, l97, l98, l99, l100, l101, l102, l103) =STDEV.P(m94, m95, m96, m97, m98, m99, m100, m101, m102, m103) =STDEV.P(n94, n95, n96, n97, n98, n99, n100, n101, n102, n103) =STDEV.P(o94, o95, o96, o97, o98, o99, o100, o101, o102, o103) =STDEV.P(p94, p95, p96, p97, p98, p99, p100, p101, p102, p103) =STDEV.P(q94, q95, q96, q97, q98, q99, q100, q101, q102, q103) =STDEV.P(r94, r95, r96, r97, r98, r99, r100, r101, r102, r103) =STDEV.P(s94, s95, s96, s97, s98, s99, s100, s101, s102, s103) =STDEV.P(t94, t95, t96, t97, t98, t99, t100, t101, t102, t103) +=AVERAGE(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =AVERAGE(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =AVERAGE(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =AVERAGE(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =AVERAGE(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =AVERAGE(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =AVERAGE(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =AVERAGE(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =AVERAGE(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =AVERAGE(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =AVERAGE(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =AVERAGE(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =AVERAGE(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =AVERAGE(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =AVERAGE(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =AVERAGE(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =AVERAGE(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =AVERAGE(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =AVERAGE(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =AVERAGE(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) =STDEV.P(a104, a105, a106, a107, a108, a109, a110, a111, a112, a113) =STDEV.P(b104, b105, b106, b107, b108, b109, b110, b111, b112, b113) =STDEV.P(c104, c105, c106, c107, c108, c109, c110, c111, c112, c113) =STDEV.P(d104, d105, d106, d107, d108, d109, d110, d111, d112, d113) =STDEV.P(e104, e105, e106, e107, e108, e109, e110, e111, e112, e113) =STDEV.P(f104, f105, f106, f107, f108, f109, f110, f111, f112, f113) =STDEV.P(g104, g105, g106, g107, g108, g109, g110, g111, g112, g113) =STDEV.P(h104, h105, h106, h107, h108, h109, h110, h111, h112, h113) =STDEV.P(i104, i105, i106, i107, i108, i109, i110, i111, i112, i113) =STDEV.P(j104, j105, j106, j107, j108, j109, j110, j111, j112, j113) =STDEV.P(k104, k105, k106, k107, k108, k109, k110, k111, k112, k113) =STDEV.P(l104, l105, l106, l107, l108, l109, l110, l111, l112, l113) =STDEV.P(m104, m105, m106, m107, m108, m109, m110, m111, m112, m113) =STDEV.P(n104, n105, n106, n107, n108, n109, n110, n111, n112, n113) =STDEV.P(o104, o105, o106, o107, o108, o109, o110, o111, o112, o113) =STDEV.P(p104, p105, p106, p107, p108, p109, p110, p111, p112, p113) =STDEV.P(q104, q105, q106, q107, q108, q109, q110, q111, q112, q113) =STDEV.P(r104, r105, r106, r107, r108, r109, r110, r111, r112, r113) =STDEV.P(s104, s105, s106, s107, s108, s109, s110, s111, s112, s113) =STDEV.P(t104, t105, t106, t107, t108, t109, t110, t111, t112, t113) +=AVERAGE(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =AVERAGE(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =AVERAGE(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =AVERAGE(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =AVERAGE(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =AVERAGE(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =AVERAGE(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =AVERAGE(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =AVERAGE(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =AVERAGE(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =AVERAGE(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =AVERAGE(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =AVERAGE(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =AVERAGE(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =AVERAGE(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =AVERAGE(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =AVERAGE(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =AVERAGE(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =AVERAGE(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =AVERAGE(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) =STDEV.P(a114, a115, a116, a117, a118, a119, a120, a121, a122, a123) =STDEV.P(b114, b115, b116, b117, b118, b119, b120, b121, b122, b123) =STDEV.P(c114, c115, c116, c117, c118, c119, c120, c121, c122, c123) =STDEV.P(d114, d115, d116, d117, d118, d119, d120, d121, d122, d123) =STDEV.P(e114, e115, e116, e117, e118, e119, e120, e121, e122, e123) =STDEV.P(f114, f115, f116, f117, f118, f119, f120, f121, f122, f123) =STDEV.P(g114, g115, g116, g117, g118, g119, g120, g121, g122, g123) =STDEV.P(h114, h115, h116, h117, h118, h119, h120, h121, h122, h123) =STDEV.P(i114, i115, i116, i117, i118, i119, i120, i121, i122, i123) =STDEV.P(j114, j115, j116, j117, j118, j119, j120, j121, j122, j123) =STDEV.P(k114, k115, k116, k117, k118, k119, k120, k121, k122, k123) =STDEV.P(l114, l115, l116, l117, l118, l119, l120, l121, l122, l123) =STDEV.P(m114, m115, m116, m117, m118, m119, m120, m121, m122, m123) =STDEV.P(n114, n115, n116, n117, n118, n119, n120, n121, n122, n123) =STDEV.P(o114, o115, o116, o117, o118, o119, o120, o121, o122, o123) =STDEV.P(p114, p115, p116, p117, p118, p119, p120, p121, p122, p123) =STDEV.P(q114, q115, q116, q117, q118, q119, q120, q121, q122, q123) =STDEV.P(r114, r115, r116, r117, r118, r119, r120, r121, r122, r123) =STDEV.P(s114, s115, s116, s117, s118, s119, s120, s121, s122, s123) =STDEV.P(t114, t115, t116, t117, t118, t119, t120, t121, t122, t123) +=AVERAGE(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =AVERAGE(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =AVERAGE(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =AVERAGE(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =AVERAGE(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =AVERAGE(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =AVERAGE(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =AVERAGE(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =AVERAGE(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =AVERAGE(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =AVERAGE(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =AVERAGE(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =AVERAGE(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =AVERAGE(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =AVERAGE(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =AVERAGE(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =AVERAGE(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =AVERAGE(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =AVERAGE(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =AVERAGE(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) =STDEV.P(a124, a125, a126, a127, a128, a129, a130, a131, a132, a133) =STDEV.P(b124, b125, b126, b127, b128, b129, b130, b131, b132, b133) =STDEV.P(c124, c125, c126, c127, c128, c129, c130, c131, c132, c133) =STDEV.P(d124, d125, d126, d127, d128, d129, d130, d131, d132, d133) =STDEV.P(e124, e125, e126, e127, e128, e129, e130, e131, e132, e133) =STDEV.P(f124, f125, f126, f127, f128, f129, f130, f131, f132, f133) =STDEV.P(g124, g125, g126, g127, g128, g129, g130, g131, g132, g133) =STDEV.P(h124, h125, h126, h127, h128, h129, h130, h131, h132, h133) =STDEV.P(i124, i125, i126, i127, i128, i129, i130, i131, i132, i133) =STDEV.P(j124, j125, j126, j127, j128, j129, j130, j131, j132, j133) =STDEV.P(k124, k125, k126, k127, k128, k129, k130, k131, k132, k133) =STDEV.P(l124, l125, l126, l127, l128, l129, l130, l131, l132, l133) =STDEV.P(m124, m125, m126, m127, m128, m129, m130, m131, m132, m133) =STDEV.P(n124, n125, n126, n127, n128, n129, n130, n131, n132, n133) =STDEV.P(o124, o125, o126, o127, o128, o129, o130, o131, o132, o133) =STDEV.P(p124, p125, p126, p127, p128, p129, p130, p131, p132, p133) =STDEV.P(q124, q125, q126, q127, q128, q129, q130, q131, q132, q133) =STDEV.P(r124, r125, r126, r127, r128, r129, r130, r131, r132, r133) =STDEV.P(s124, s125, s126, s127, s128, s129, s130, s131, s132, s133) =STDEV.P(t124, t125, t126, t127, t128, t129, t130, t131, t132, t133) +=AVERAGE(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =AVERAGE(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =AVERAGE(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =AVERAGE(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =AVERAGE(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =AVERAGE(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =AVERAGE(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =AVERAGE(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =AVERAGE(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =AVERAGE(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =AVERAGE(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =AVERAGE(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =AVERAGE(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =AVERAGE(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =AVERAGE(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =AVERAGE(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =AVERAGE(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =AVERAGE(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =AVERAGE(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =AVERAGE(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) =STDEV.P(a134, a135, a136, a137, a138, a139, a140, a141, a142, a143) =STDEV.P(b134, b135, b136, b137, b138, b139, b140, b141, b142, b143) =STDEV.P(c134, c135, c136, c137, c138, c139, c140, c141, c142, c143) =STDEV.P(d134, d135, d136, d137, d138, d139, d140, d141, d142, d143) =STDEV.P(e134, e135, e136, e137, e138, e139, e140, e141, e142, e143) =STDEV.P(f134, f135, f136, f137, f138, f139, f140, f141, f142, f143) =STDEV.P(g134, g135, g136, g137, g138, g139, g140, g141, g142, g143) =STDEV.P(h134, h135, h136, h137, h138, h139, h140, h141, h142, h143) =STDEV.P(i134, i135, i136, i137, i138, i139, i140, i141, i142, i143) =STDEV.P(j134, j135, j136, j137, j138, j139, j140, j141, j142, j143) =STDEV.P(k134, k135, k136, k137, k138, k139, k140, k141, k142, k143) =STDEV.P(l134, l135, l136, l137, l138, l139, l140, l141, l142, l143) =STDEV.P(m134, m135, m136, m137, m138, m139, m140, m141, m142, m143) =STDEV.P(n134, n135, n136, n137, n138, n139, n140, n141, n142, n143) =STDEV.P(o134, o135, o136, o137, o138, o139, o140, o141, o142, o143) =STDEV.P(p134, p135, p136, p137, p138, p139, p140, p141, p142, p143) =STDEV.P(q134, q135, q136, q137, q138, q139, q140, q141, q142, q143) =STDEV.P(r134, r135, r136, r137, r138, r139, r140, r141, r142, r143) =STDEV.P(s134, s135, s136, s137, s138, s139, s140, s141, s142, s143) =STDEV.P(t134, t135, t136, t137, t138, t139, t140, t141, t142, t143) +=AVERAGE(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =AVERAGE(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =AVERAGE(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =AVERAGE(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =AVERAGE(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =AVERAGE(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =AVERAGE(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =AVERAGE(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =AVERAGE(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =AVERAGE(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =AVERAGE(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =AVERAGE(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =AVERAGE(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =AVERAGE(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =AVERAGE(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =AVERAGE(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =AVERAGE(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =AVERAGE(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =AVERAGE(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =AVERAGE(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) =STDEV.P(a144, a145, a146, a147, a148, a149, a150, a151, a152, a153) =STDEV.P(b144, b145, b146, b147, b148, b149, b150, b151, b152, b153) =STDEV.P(c144, c145, c146, c147, c148, c149, c150, c151, c152, c153) =STDEV.P(d144, d145, d146, d147, d148, d149, d150, d151, d152, d153) =STDEV.P(e144, e145, e146, e147, e148, e149, e150, e151, e152, e153) =STDEV.P(f144, f145, f146, f147, f148, f149, f150, f151, f152, f153) =STDEV.P(g144, g145, g146, g147, g148, g149, g150, g151, g152, g153) =STDEV.P(h144, h145, h146, h147, h148, h149, h150, h151, h152, h153) =STDEV.P(i144, i145, i146, i147, i148, i149, i150, i151, i152, i153) =STDEV.P(j144, j145, j146, j147, j148, j149, j150, j151, j152, j153) =STDEV.P(k144, k145, k146, k147, k148, k149, k150, k151, k152, k153) =STDEV.P(l144, l145, l146, l147, l148, l149, l150, l151, l152, l153) =STDEV.P(m144, m145, m146, m147, m148, m149, m150, m151, m152, m153) =STDEV.P(n144, n145, n146, n147, n148, n149, n150, n151, n152, n153) =STDEV.P(o144, o145, o146, o147, o148, o149, o150, o151, o152, o153) =STDEV.P(p144, p145, p146, p147, p148, p149, p150, p151, p152, p153) =STDEV.P(q144, q145, q146, q147, q148, q149, q150, q151, q152, q153) =STDEV.P(r144, r145, r146, r147, r148, r149, r150, r151, r152, r153) =STDEV.P(s144, s145, s146, s147, s148, s149, s150, s151, s152, s153) =STDEV.P(t144, t145, t146, t147, t148, t149, t150, t151, t152, t153) +=AVERAGE(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =AVERAGE(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =AVERAGE(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =AVERAGE(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =AVERAGE(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =AVERAGE(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =AVERAGE(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =AVERAGE(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =AVERAGE(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =AVERAGE(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =AVERAGE(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =AVERAGE(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =AVERAGE(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =AVERAGE(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =AVERAGE(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =AVERAGE(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =AVERAGE(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =AVERAGE(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =AVERAGE(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =AVERAGE(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) =STDEV.P(a154, a155, a156, a157, a158, a159, a160, a161, a162, a163) =STDEV.P(b154, b155, b156, b157, b158, b159, b160, b161, b162, b163) =STDEV.P(c154, c155, c156, c157, c158, c159, c160, c161, c162, c163) =STDEV.P(d154, d155, d156, d157, d158, d159, d160, d161, d162, d163) =STDEV.P(e154, e155, e156, e157, e158, e159, e160, e161, e162, e163) =STDEV.P(f154, f155, f156, f157, f158, f159, f160, f161, f162, f163) =STDEV.P(g154, g155, g156, g157, g158, g159, g160, g161, g162, g163) =STDEV.P(h154, h155, h156, h157, h158, h159, h160, h161, h162, h163) =STDEV.P(i154, i155, i156, i157, i158, i159, i160, i161, i162, i163) =STDEV.P(j154, j155, j156, j157, j158, j159, j160, j161, j162, j163) =STDEV.P(k154, k155, k156, k157, k158, k159, k160, k161, k162, k163) =STDEV.P(l154, l155, l156, l157, l158, l159, l160, l161, l162, l163) =STDEV.P(m154, m155, m156, m157, m158, m159, m160, m161, m162, m163) =STDEV.P(n154, n155, n156, n157, n158, n159, n160, n161, n162, n163) =STDEV.P(o154, o155, o156, o157, o158, o159, o160, o161, o162, o163) =STDEV.P(p154, p155, p156, p157, p158, p159, p160, p161, p162, p163) =STDEV.P(q154, q155, q156, q157, q158, q159, q160, q161, q162, q163) =STDEV.P(r154, r155, r156, r157, r158, r159, r160, r161, r162, r163) =STDEV.P(s154, s155, s156, s157, s158, s159, s160, s161, s162, s163) =STDEV.P(t154, t155, t156, t157, t158, t159, t160, t161, t162, t163) +=AVERAGE(a164, a165, a166, a167, a168, a169, a170, a171, a172, a173) =AVERAGE(b164, b165, b166, b167, b168, b169, b170, b171, b172, b173) =AVERAGE(c164, c165, c166, c167, c168, c169, c170, c171, c172, c173) =AVERAGE(d164, d165, d166, d167, d168, d169, d170, d171, d172, d173) =AVERAGE(e164, e165, e166, e167, e168, e169, e170, e171, e172, e173) =AVERAGE(f164, f165, f166, f167, f168, f169, f170, f171, f172, f173) =AVERAGE(g164, g165, g166, g167, g168, g169, g170, g171, g172, g173) =AVERAGE(h164, h165, h166, h167, h168, h169, h170, h171, h172, h173) =AVERAGE(i164, i165, i166, i167, i168, i169, i170, i171, i172, i173) =AVERAGE(j164, j165, j166, j167, j168, j169, j170, j171, j172, j173) =AVERAGE(k164, k165, k166, k167, k168, k169, k170, k171, k172, k173) =AVERAGE(l164, l165, l166, l167, l168, l169, l170, l171, l172, l173) =AVERAGE(m164, m165, m166, m167, m168, m169, m170, m171, m172, m173) =AVERAGE(n164, n165, n166, n167, n168, n169, n170, n171, n172, n173) =AVERAGE(o164, o165, o166, o167, o168, o169, o170, o171, o172, o173) =AVERAGE(p164, p165, p166, p167, p168, p169, p170, p171, p172, p173) =AVERAGE(q164, q165, q166, q167, q168, q169, q170, q171, q172, q173) =AVERAGE(r164, r165, r166, r167, r168, r169, r170, r171, r172, r173) =AVERAGE(s164, s165, s166, s167, s168, s169, s170, s171, s172, s173) =AVERAGE(t164, t165, t166, t167, t168, t169, t170, t171, t172, t173) =STDEV.P(a164, a165, a166, a167, a168, a169, a170, a171, a172, a173) =STDEV.P(b164, b165, b166, b167, b168, b169, b170, b171, b172, b173) =STDEV.P(c164, c165, c166, c167, c168, c169, c170, c171, c172, c173) =STDEV.P(d164, d165, d166, d167, d168, d169, d170, d171, d172, d173) =STDEV.P(e164, e165, e166, e167, e168, e169, e170, e171, e172, e173) =STDEV.P(f164, f165, f166, f167, f168, f169, f170, f171, f172, f173) =STDEV.P(g164, g165, g166, g167, g168, g169, g170, g171, g172, g173) =STDEV.P(h164, h165, h166, h167, h168, h169, h170, h171, h172, h173) =STDEV.P(i164, i165, i166, i167, i168, i169, i170, i171, i172, i173) =STDEV.P(j164, j165, j166, j167, j168, j169, j170, j171, j172, j173) =STDEV.P(k164, k165, k166, k167, k168, k169, k170, k171, k172, k173) =STDEV.P(l164, l165, l166, l167, l168, l169, l170, l171, l172, l173) =STDEV.P(m164, m165, m166, m167, m168, m169, m170, m171, m172, m173) =STDEV.P(n164, n165, n166, n167, n168, n169, n170, n171, n172, n173) =STDEV.P(o164, o165, o166, o167, o168, o169, o170, o171, o172, o173) =STDEV.P(p164, p165, p166, p167, p168, p169, p170, p171, p172, p173) =STDEV.P(q164, q165, q166, q167, q168, q169, q170, q171, q172, q173) =STDEV.P(r164, r165, r166, r167, r168, r169, r170, r171, r172, r173) =STDEV.P(s164, s165, s166, s167, s168, s169, s170, s171, s172, s173) =STDEV.P(t164, t165, t166, t167, t168, t169, t170, t171, t172, t173) +=AVERAGE(a174, a175, a176, a177, a178, a179, a180, a181, a182, a183) =AVERAGE(b174, b175, b176, b177, b178, b179, b180, b181, b182, b183) =AVERAGE(c174, c175, c176, c177, c178, c179, c180, c181, c182, c183) =AVERAGE(d174, d175, d176, d177, d178, d179, d180, d181, d182, d183) =AVERAGE(e174, e175, e176, e177, e178, e179, e180, e181, e182, e183) =AVERAGE(f174, f175, f176, f177, f178, f179, f180, f181, f182, f183) =AVERAGE(g174, g175, g176, g177, g178, g179, g180, g181, g182, g183) =AVERAGE(h174, h175, h176, h177, h178, h179, h180, h181, h182, h183) =AVERAGE(i174, i175, i176, i177, i178, i179, i180, i181, i182, i183) =AVERAGE(j174, j175, j176, j177, j178, j179, j180, j181, j182, j183) =AVERAGE(k174, k175, k176, k177, k178, k179, k180, k181, k182, k183) =AVERAGE(l174, l175, l176, l177, l178, l179, l180, l181, l182, l183) =AVERAGE(m174, m175, m176, m177, m178, m179, m180, m181, m182, m183) =AVERAGE(n174, n175, n176, n177, n178, n179, n180, n181, n182, n183) =AVERAGE(o174, o175, o176, o177, o178, o179, o180, o181, o182, o183) =AVERAGE(p174, p175, p176, p177, p178, p179, p180, p181, p182, p183) =AVERAGE(q174, q175, q176, q177, q178, q179, q180, q181, q182, q183) =AVERAGE(r174, r175, r176, r177, r178, r179, r180, r181, r182, r183) =AVERAGE(s174, s175, s176, s177, s178, s179, s180, s181, s182, s183) =AVERAGE(t174, t175, t176, t177, t178, t179, t180, t181, t182, t183) =STDEV.P(a174, a175, a176, a177, a178, a179, a180, a181, a182, a183) =STDEV.P(b174, b175, b176, b177, b178, b179, b180, b181, b182, b183) =STDEV.P(c174, c175, c176, c177, c178, c179, c180, c181, c182, c183) =STDEV.P(d174, d175, d176, d177, d178, d179, d180, d181, d182, d183) =STDEV.P(e174, e175, e176, e177, e178, e179, e180, e181, e182, e183) =STDEV.P(f174, f175, f176, f177, f178, f179, f180, f181, f182, f183) =STDEV.P(g174, g175, g176, g177, g178, g179, g180, g181, g182, g183) =STDEV.P(h174, h175, h176, h177, h178, h179, h180, h181, h182, h183) =STDEV.P(i174, i175, i176, i177, i178, i179, i180, i181, i182, i183) =STDEV.P(j174, j175, j176, j177, j178, j179, j180, j181, j182, j183) =STDEV.P(k174, k175, k176, k177, k178, k179, k180, k181, k182, k183) =STDEV.P(l174, l175, l176, l177, l178, l179, l180, l181, l182, l183) =STDEV.P(m174, m175, m176, m177, m178, m179, m180, m181, m182, m183) =STDEV.P(n174, n175, n176, n177, n178, n179, n180, n181, n182, n183) =STDEV.P(o174, o175, o176, o177, o178, o179, o180, o181, o182, o183) =STDEV.P(p174, p175, p176, p177, p178, p179, p180, p181, p182, p183) =STDEV.P(q174, q175, q176, q177, q178, q179, q180, q181, q182, q183) =STDEV.P(r174, r175, r176, r177, r178, r179, r180, r181, r182, r183) =STDEV.P(s174, s175, s176, s177, s178, s179, s180, s181, s182, s183) =STDEV.P(t174, t175, t176, t177, t178, t179, t180, t181, t182, t183) +=AVERAGE(a184, a185, a186, a187, a188, a189, a190, a191, a192) =AVERAGE(b184, b185, b186, b187, b188, b189, b190, b191, b192) =AVERAGE(c184, c185, c186, c187, c188, c189, c190, c191, c192) =AVERAGE(d184, d185, d186, d187, d188, d189, d190, d191, d192) =AVERAGE(e184, e185, e186, e187, e188, e189, e190, e191, e192) =AVERAGE(f184, f185, f186, f187, f188, f189, f190, f191, f192) =AVERAGE(g184, g185, g186, g187, g188, g189, g190, g191, g192) =AVERAGE(h184, h185, h186, h187, h188, h189, h190, h191, h192) =AVERAGE(i184, i185, i186, i187, i188, i189, i190, i191, i192) =AVERAGE(j184, j185, j186, j187, j188, j189, j190, j191, j192) =AVERAGE(k184, k185, k186, k187, k188, k189, k190, k191, k192) =AVERAGE(l184, l185, l186, l187, l188, l189, l190, l191, l192) =AVERAGE(m184, m185, m186, m187, m188, m189, m190, m191, m192) =AVERAGE(n184, n185, n186, n187, n188, n189, n190, n191, n192) =AVERAGE(o184, o185, o186, o187, o188, o189, o190, o191, o192) =AVERAGE(p184, p185, p186, p187, p188, p189, p190, p191, p192) =AVERAGE(q184, q185, q186, q187, q188, q189, q190, q191, q192) =AVERAGE(r184, r185, r186, r187, r188, r189, r190, r191, r192) =AVERAGE(s184, s185, s186, s187, s188, s189, s190, s191, s192) =AVERAGE(t184, t185, t186, t187, t188, t189, t190, t191, t192) =STDEV.P(a184, a185, a186, a187, a188, a189, a190, a191, a192) =STDEV.P(b184, b185, b186, b187, b188, b189, b190, b191, b192) =STDEV.P(c184, c185, c186, c187, c188, c189, c190, c191, c192) =STDEV.P(d184, d185, d186, d187, d188, d189, d190, d191, d192) =STDEV.P(e184, e185, e186, e187, e188, e189, e190, e191, e192) =STDEV.P(f184, f185, f186, f187, f188, f189, f190, f191, f192) =STDEV.P(g184, g185, g186, g187, g188, g189, g190, g191, g192) =STDEV.P(h184, h185, h186, h187, h188, h189, h190, h191, h192) =STDEV.P(i184, i185, i186, i187, i188, i189, i190, i191, i192) =STDEV.P(j184, j185, j186, j187, j188, j189, j190, j191, j192) =STDEV.P(k184, k185, k186, k187, k188, k189, k190, k191, k192) =STDEV.P(l184, l185, l186, l187, l188, l189, l190, l191, l192) =STDEV.P(m184, m185, m186, m187, m188, m189, m190, m191, m192) =STDEV.P(n184, n185, n186, n187, n188, n189, n190, n191, n192) =STDEV.P(o184, o185, o186, o187, o188, o189, o190, o191, o192) =STDEV.P(p184, p185, p186, p187, p188, p189, p190, p191, p192) =STDEV.P(q184, q185, q186, q187, q188, q189, q190, q191, q192) =STDEV.P(r184, r185, r186, r187, r188, r189, r190, r191, r192) =STDEV.P(s184, s185, s186, s187, s188, s189, s190, s191, s192) =STDEV.P(t184, t185, t186, t187, t188, t189, t190, t191, t192) +=AVERAGE(a193, a194, a195, a196, a197, a198, a199, a200, a201) =AVERAGE(b193, b194, b195, b196, b197, b198, b199, b200, b201) =AVERAGE(c193, c194, c195, c196, c197, c198, c199, c200, c201) =AVERAGE(d193, d194, d195, d196, d197, d198, d199, d200, d201) =AVERAGE(e193, e194, e195, e196, e197, e198, e199, e200, e201) =AVERAGE(f193, f194, f195, f196, f197, f198, f199, f200, f201) =AVERAGE(g193, g194, g195, g196, g197, g198, g199, g200, g201) =AVERAGE(h193, h194, h195, h196, h197, h198, h199, h200, h201) =AVERAGE(i193, i194, i195, i196, i197, i198, i199, i200, i201) =AVERAGE(j193, j194, j195, j196, j197, j198, j199, j200, j201) =AVERAGE(k193, k194, k195, k196, k197, k198, k199, k200, k201) =AVERAGE(l193, l194, l195, l196, l197, l198, l199, l200, l201) =AVERAGE(m193, m194, m195, m196, m197, m198, m199, m200, m201) =AVERAGE(n193, n194, n195, n196, n197, n198, n199, n200, n201) =AVERAGE(o193, o194, o195, o196, o197, o198, o199, o200, o201) =AVERAGE(p193, p194, p195, p196, p197, p198, p199, p200, p201) =AVERAGE(q193, q194, q195, q196, q197, q198, q199, q200, q201) =AVERAGE(r193, r194, r195, r196, r197, r198, r199, r200, r201) =AVERAGE(s193, s194, s195, s196, s197, s198, s199, s200, s201) =AVERAGE(t193, t194, t195, t196, t197, t198, t199, t200, t201) =STDEV.P(a193, a194, a195, a196, a197, a198, a199, a200, a201) =STDEV.P(b193, b194, b195, b196, b197, b198, b199, b200, b201) =STDEV.P(c193, c194, c195, c196, c197, c198, c199, c200, c201) =STDEV.P(d193, d194, d195, d196, d197, d198, d199, d200, d201) =STDEV.P(e193, e194, e195, e196, e197, e198, e199, e200, e201) =STDEV.P(f193, f194, f195, f196, f197, f198, f199, f200, f201) =STDEV.P(g193, g194, g195, g196, g197, g198, g199, g200, g201) =STDEV.P(h193, h194, h195, h196, h197, h198, h199, h200, h201) =STDEV.P(i193, i194, i195, i196, i197, i198, i199, i200, i201) =STDEV.P(j193, j194, j195, j196, j197, j198, j199, j200, j201) =STDEV.P(k193, k194, k195, k196, k197, k198, k199, k200, k201) =STDEV.P(l193, l194, l195, l196, l197, l198, l199, l200, l201) =STDEV.P(m193, m194, m195, m196, m197, m198, m199, m200, m201) =STDEV.P(n193, n194, n195, n196, n197, n198, n199, n200, n201) =STDEV.P(o193, o194, o195, o196, o197, o198, o199, o200, o201) =STDEV.P(p193, p194, p195, p196, p197, p198, p199, p200, p201) =STDEV.P(q193, q194, q195, q196, q197, q198, q199, q200, q201) =STDEV.P(r193, r194, r195, r196, r197, r198, r199, r200, r201) =STDEV.P(s193, s194, s195, s196, s197, s198, s199, s200, s201) =STDEV.P(t193, t194, t195, t196, t197, t198, t199, t200, t201) +=AVERAGE(a202, a203, a204, a205, a206, a207, a208, a209, a210) =AVERAGE(b202, b203, b204, b205, b206, b207, b208, b209, b210) =AVERAGE(c202, c203, c204, c205, c206, c207, c208, c209, c210) =AVERAGE(d202, d203, d204, d205, d206, d207, d208, d209, d210) =AVERAGE(e202, e203, e204, e205, e206, e207, e208, e209, e210) =AVERAGE(f202, f203, f204, f205, f206, f207, f208, f209, f210) =AVERAGE(g202, g203, g204, g205, g206, g207, g208, g209, g210) =AVERAGE(h202, h203, h204, h205, h206, h207, h208, h209, h210) =AVERAGE(i202, i203, i204, i205, i206, i207, i208, i209, i210) =AVERAGE(j202, j203, j204, j205, j206, j207, j208, j209, j210) =AVERAGE(k202, k203, k204, k205, k206, k207, k208, k209, k210) =AVERAGE(l202, l203, l204, l205, l206, l207, l208, l209, l210) =AVERAGE(m202, m203, m204, m205, m206, m207, m208, m209, m210) =AVERAGE(n202, n203, n204, n205, n206, n207, n208, n209, n210) =AVERAGE(o202, o203, o204, o205, o206, o207, o208, o209, o210) =AVERAGE(p202, p203, p204, p205, p206, p207, p208, p209, p210) =AVERAGE(q202, q203, q204, q205, q206, q207, q208, q209, q210) =AVERAGE(r202, r203, r204, r205, r206, r207, r208, r209, r210) =AVERAGE(s202, s203, s204, s205, s206, s207, s208, s209, s210) =AVERAGE(t202, t203, t204, t205, t206, t207, t208, t209, t210) =STDEV.P(a202, a203, a204, a205, a206, a207, a208, a209, a210) =STDEV.P(b202, b203, b204, b205, b206, b207, b208, b209, b210) =STDEV.P(c202, c203, c204, c205, c206, c207, c208, c209, c210) =STDEV.P(d202, d203, d204, d205, d206, d207, d208, d209, d210) =STDEV.P(e202, e203, e204, e205, e206, e207, e208, e209, e210) =STDEV.P(f202, f203, f204, f205, f206, f207, f208, f209, f210) =STDEV.P(g202, g203, g204, g205, g206, g207, g208, g209, g210) =STDEV.P(h202, h203, h204, h205, h206, h207, h208, h209, h210) =STDEV.P(i202, i203, i204, i205, i206, i207, i208, i209, i210) =STDEV.P(j202, j203, j204, j205, j206, j207, j208, j209, j210) =STDEV.P(k202, k203, k204, k205, k206, k207, k208, k209, k210) =STDEV.P(l202, l203, l204, l205, l206, l207, l208, l209, l210) =STDEV.P(m202, m203, m204, m205, m206, m207, m208, m209, m210) =STDEV.P(n202, n203, n204, n205, n206, n207, n208, n209, n210) =STDEV.P(o202, o203, o204, o205, o206, o207, o208, o209, o210) =STDEV.P(p202, p203, p204, p205, p206, p207, p208, p209, p210) =STDEV.P(q202, q203, q204, q205, q206, q207, q208, q209, q210) =STDEV.P(r202, r203, r204, r205, r206, r207, r208, r209, r210) =STDEV.P(s202, s203, s204, s205, s206, s207, s208, s209, s210) =STDEV.P(t202, t203, t204, t205, t206, t207, t208, t209, t210) +=AVERAGE(a211, a212, a213, a214, a215, a216, a217, a218, a219) =AVERAGE(b211, b212, b213, b214, b215, b216, b217, b218, b219) =AVERAGE(c211, c212, c213, c214, c215, c216, c217, c218, c219) =AVERAGE(d211, d212, d213, d214, d215, d216, d217, d218, d219) =AVERAGE(e211, e212, e213, e214, e215, e216, e217, e218, e219) =AVERAGE(f211, f212, f213, f214, f215, f216, f217, f218, f219) =AVERAGE(g211, g212, g213, g214, g215, g216, g217, g218, g219) =AVERAGE(h211, h212, h213, h214, h215, h216, h217, h218, h219) =AVERAGE(i211, i212, i213, i214, i215, i216, i217, i218, i219) =AVERAGE(j211, j212, j213, j214, j215, j216, j217, j218, j219) =AVERAGE(k211, k212, k213, k214, k215, k216, k217, k218, k219) =AVERAGE(l211, l212, l213, l214, l215, l216, l217, l218, l219) =AVERAGE(m211, m212, m213, m214, m215, m216, m217, m218, m219) =AVERAGE(n211, n212, n213, n214, n215, n216, n217, n218, n219) =AVERAGE(o211, o212, o213, o214, o215, o216, o217, o218, o219) =AVERAGE(p211, p212, p213, p214, p215, p216, p217, p218, p219) =AVERAGE(q211, q212, q213, q214, q215, q216, q217, q218, q219) =AVERAGE(r211, r212, r213, r214, r215, r216, r217, r218, r219) =AVERAGE(s211, s212, s213, s214, s215, s216, s217, s218, s219) =AVERAGE(t211, t212, t213, t214, t215, t216, t217, t218, t219) =STDEV.P(a211, a212, a213, a214, a215, a216, a217, a218, a219) =STDEV.P(b211, b212, b213, b214, b215, b216, b217, b218, b219) =STDEV.P(c211, c212, c213, c214, c215, c216, c217, c218, c219) =STDEV.P(d211, d212, d213, d214, d215, d216, d217, d218, d219) =STDEV.P(e211, e212, e213, e214, e215, e216, e217, e218, e219) =STDEV.P(f211, f212, f213, f214, f215, f216, f217, f218, f219) =STDEV.P(g211, g212, g213, g214, g215, g216, g217, g218, g219) =STDEV.P(h211, h212, h213, h214, h215, h216, h217, h218, h219) =STDEV.P(i211, i212, i213, i214, i215, i216, i217, i218, i219) =STDEV.P(j211, j212, j213, j214, j215, j216, j217, j218, j219) =STDEV.P(k211, k212, k213, k214, k215, k216, k217, k218, k219) =STDEV.P(l211, l212, l213, l214, l215, l216, l217, l218, l219) =STDEV.P(m211, m212, m213, m214, m215, m216, m217, m218, m219) =STDEV.P(n211, n212, n213, n214, n215, n216, n217, n218, n219) =STDEV.P(o211, o212, o213, o214, o215, o216, o217, o218, o219) =STDEV.P(p211, p212, p213, p214, p215, p216, p217, p218, p219) =STDEV.P(q211, q212, q213, q214, q215, q216, q217, q218, q219) =STDEV.P(r211, r212, r213, r214, r215, r216, r217, r218, r219) =STDEV.P(s211, s212, s213, s214, s215, s216, s217, s218, s219) =STDEV.P(t211, t212, t213, t214, t215, t216, t217, t218, t219) +=AVERAGE(a220, a221, a222, a223, a224, a225, a226, a227, a228) =AVERAGE(b220, b221, b222, b223, b224, b225, b226, b227, b228) =AVERAGE(c220, c221, c222, c223, c224, c225, c226, c227, c228) =AVERAGE(d220, d221, d222, d223, d224, d225, d226, d227, d228) =AVERAGE(e220, e221, e222, e223, e224, e225, e226, e227, e228) =AVERAGE(f220, f221, f222, f223, f224, f225, f226, f227, f228) =AVERAGE(g220, g221, g222, g223, g224, g225, g226, g227, g228) =AVERAGE(h220, h221, h222, h223, h224, h225, h226, h227, h228) =AVERAGE(i220, i221, i222, i223, i224, i225, i226, i227, i228) =AVERAGE(j220, j221, j222, j223, j224, j225, j226, j227, j228) =AVERAGE(k220, k221, k222, k223, k224, k225, k226, k227, k228) =AVERAGE(l220, l221, l222, l223, l224, l225, l226, l227, l228) =AVERAGE(m220, m221, m222, m223, m224, m225, m226, m227, m228) =AVERAGE(n220, n221, n222, n223, n224, n225, n226, n227, n228) =AVERAGE(o220, o221, o222, o223, o224, o225, o226, o227, o228) =AVERAGE(p220, p221, p222, p223, p224, p225, p226, p227, p228) =AVERAGE(q220, q221, q222, q223, q224, q225, q226, q227, q228) =AVERAGE(r220, r221, r222, r223, r224, r225, r226, r227, r228) =AVERAGE(s220, s221, s222, s223, s224, s225, s226, s227, s228) =AVERAGE(t220, t221, t222, t223, t224, t225, t226, t227, t228) =STDEV.P(a220, a221, a222, a223, a224, a225, a226, a227, a228) =STDEV.P(b220, b221, b222, b223, b224, b225, b226, b227, b228) =STDEV.P(c220, c221, c222, c223, c224, c225, c226, c227, c228) =STDEV.P(d220, d221, d222, d223, d224, d225, d226, d227, d228) =STDEV.P(e220, e221, e222, e223, e224, e225, e226, e227, e228) =STDEV.P(f220, f221, f222, f223, f224, f225, f226, f227, f228) =STDEV.P(g220, g221, g222, g223, g224, g225, g226, g227, g228) =STDEV.P(h220, h221, h222, h223, h224, h225, h226, h227, h228) =STDEV.P(i220, i221, i222, i223, i224, i225, i226, i227, i228) =STDEV.P(j220, j221, j222, j223, j224, j225, j226, j227, j228) =STDEV.P(k220, k221, k222, k223, k224, k225, k226, k227, k228) =STDEV.P(l220, l221, l222, l223, l224, l225, l226, l227, l228) =STDEV.P(m220, m221, m222, m223, m224, m225, m226, m227, m228) =STDEV.P(n220, n221, n222, n223, n224, n225, n226, n227, n228) =STDEV.P(o220, o221, o222, o223, o224, o225, o226, o227, o228) =STDEV.P(p220, p221, p222, p223, p224, p225, p226, p227, p228) =STDEV.P(q220, q221, q222, q223, q224, q225, q226, q227, q228) =STDEV.P(r220, r221, r222, r223, r224, r225, r226, r227, r228) =STDEV.P(s220, s221, s222, s223, s224, s225, s226, s227, s228) =STDEV.P(t220, t221, t222, t223, t224, t225, t226, t227, t228) +=AVERAGE(a229, a230, a231, a232, a233, a234, a235, a236) =AVERAGE(b229, b230, b231, b232, b233, b234, b235, b236) =AVERAGE(c229, c230, c231, c232, c233, c234, c235, c236) =AVERAGE(d229, d230, d231, d232, d233, d234, d235, d236) =AVERAGE(e229, e230, e231, e232, e233, e234, e235, e236) =AVERAGE(f229, f230, f231, f232, f233, f234, f235, f236) =AVERAGE(g229, g230, g231, g232, g233, g234, g235, g236) =AVERAGE(h229, h230, h231, h232, h233, h234, h235, h236) =AVERAGE(i229, i230, i231, i232, i233, i234, i235, i236) =AVERAGE(j229, j230, j231, j232, j233, j234, j235, j236) =AVERAGE(k229, k230, k231, k232, k233, k234, k235, k236) =AVERAGE(l229, l230, l231, l232, l233, l234, l235, l236) =AVERAGE(m229, m230, m231, m232, m233, m234, m235, m236) =AVERAGE(n229, n230, n231, n232, n233, n234, n235, n236) =AVERAGE(o229, o230, o231, o232, o233, o234, o235, o236) =AVERAGE(p229, p230, p231, p232, p233, p234, p235, p236) =AVERAGE(q229, q230, q231, q232, q233, q234, q235, q236) =AVERAGE(r229, r230, r231, r232, r233, r234, r235, r236) =AVERAGE(s229, s230, s231, s232, s233, s234, s235, s236) =AVERAGE(t229, t230, t231, t232, t233, t234, t235, t236) =STDEV.P(a229, a230, a231, a232, a233, a234, a235, a236) =STDEV.P(b229, b230, b231, b232, b233, b234, b235, b236) =STDEV.P(c229, c230, c231, c232, c233, c234, c235, c236) =STDEV.P(d229, d230, d231, d232, d233, d234, d235, d236) =STDEV.P(e229, e230, e231, e232, e233, e234, e235, e236) =STDEV.P(f229, f230, f231, f232, f233, f234, f235, f236) =STDEV.P(g229, g230, g231, g232, g233, g234, g235, g236) =STDEV.P(h229, h230, h231, h232, h233, h234, h235, h236) =STDEV.P(i229, i230, i231, i232, i233, i234, i235, i236) =STDEV.P(j229, j230, j231, j232, j233, j234, j235, j236) =STDEV.P(k229, k230, k231, k232, k233, k234, k235, k236) =STDEV.P(l229, l230, l231, l232, l233, l234, l235, l236) =STDEV.P(m229, m230, m231, m232, m233, m234, m235, m236) =STDEV.P(n229, n230, n231, n232, n233, n234, n235, n236) =STDEV.P(o229, o230, o231, o232, o233, o234, o235, o236) =STDEV.P(p229, p230, p231, p232, p233, p234, p235, p236) =STDEV.P(q229, q230, q231, q232, q233, q234, q235, q236) =STDEV.P(r229, r230, r231, r232, r233, r234, r235, r236) =STDEV.P(s229, s230, s231, s232, s233, s234, s235, s236) =STDEV.P(t229, t230, t231, t232, t233, t234, t235, t236) +=AVERAGE(a237, a238, a239, a240, a241, a242, a243, a244) =AVERAGE(b237, b238, b239, b240, b241, b242, b243, b244) =AVERAGE(c237, c238, c239, c240, c241, c242, c243, c244) =AVERAGE(d237, d238, d239, d240, d241, d242, d243, d244) =AVERAGE(e237, e238, e239, e240, e241, e242, e243, e244) =AVERAGE(f237, f238, f239, f240, f241, f242, f243, f244) =AVERAGE(g237, g238, g239, g240, g241, g242, g243, g244) =AVERAGE(h237, h238, h239, h240, h241, h242, h243, h244) =AVERAGE(i237, i238, i239, i240, i241, i242, i243, i244) =AVERAGE(j237, j238, j239, j240, j241, j242, j243, j244) =AVERAGE(k237, k238, k239, k240, k241, k242, k243, k244) =AVERAGE(l237, l238, l239, l240, l241, l242, l243, l244) =AVERAGE(m237, m238, m239, m240, m241, m242, m243, m244) =AVERAGE(n237, n238, n239, n240, n241, n242, n243, n244) =AVERAGE(o237, o238, o239, o240, o241, o242, o243, o244) =AVERAGE(p237, p238, p239, p240, p241, p242, p243, p244) =AVERAGE(q237, q238, q239, q240, q241, q242, q243, q244) =AVERAGE(r237, r238, r239, r240, r241, r242, r243, r244) =AVERAGE(s237, s238, s239, s240, s241, s242, s243, s244) =AVERAGE(t237, t238, t239, t240, t241, t242, t243, t244) =STDEV.P(a237, a238, a239, a240, a241, a242, a243, a244) =STDEV.P(b237, b238, b239, b240, b241, b242, b243, b244) =STDEV.P(c237, c238, c239, c240, c241, c242, c243, c244) =STDEV.P(d237, d238, d239, d240, d241, d242, d243, d244) =STDEV.P(e237, e238, e239, e240, e241, e242, e243, e244) =STDEV.P(f237, f238, f239, f240, f241, f242, f243, f244) =STDEV.P(g237, g238, g239, g240, g241, g242, g243, g244) =STDEV.P(h237, h238, h239, h240, h241, h242, h243, h244) =STDEV.P(i237, i238, i239, i240, i241, i242, i243, i244) =STDEV.P(j237, j238, j239, j240, j241, j242, j243, j244) =STDEV.P(k237, k238, k239, k240, k241, k242, k243, k244) =STDEV.P(l237, l238, l239, l240, l241, l242, l243, l244) =STDEV.P(m237, m238, m239, m240, m241, m242, m243, m244) =STDEV.P(n237, n238, n239, n240, n241, n242, n243, n244) =STDEV.P(o237, o238, o239, o240, o241, o242, o243, o244) =STDEV.P(p237, p238, p239, p240, p241, p242, p243, p244) =STDEV.P(q237, q238, q239, q240, q241, q242, q243, q244) =STDEV.P(r237, r238, r239, r240, r241, r242, r243, r244) =STDEV.P(s237, s238, s239, s240, s241, s242, s243, s244) =STDEV.P(t237, t238, t239, t240, t241, t242, t243, t244) +=AVERAGE(a245, a246, a247, a248, a249, a250, a251, a252) =AVERAGE(b245, b246, b247, b248, b249, b250, b251, b252) =AVERAGE(c245, c246, c247, c248, c249, c250, c251, c252) =AVERAGE(d245, d246, d247, d248, d249, d250, d251, d252) =AVERAGE(e245, e246, e247, e248, e249, e250, e251, e252) =AVERAGE(f245, f246, f247, f248, f249, f250, f251, f252) =AVERAGE(g245, g246, g247, g248, g249, g250, g251, g252) =AVERAGE(h245, h246, h247, h248, h249, h250, h251, h252) =AVERAGE(i245, i246, i247, i248, i249, i250, i251, i252) =AVERAGE(j245, j246, j247, j248, j249, j250, j251, j252) =AVERAGE(k245, k246, k247, k248, k249, k250, k251, k252) =AVERAGE(l245, l246, l247, l248, l249, l250, l251, l252) =AVERAGE(m245, m246, m247, m248, m249, m250, m251, m252) =AVERAGE(n245, n246, n247, n248, n249, n250, n251, n252) =AVERAGE(o245, o246, o247, o248, o249, o250, o251, o252) =AVERAGE(p245, p246, p247, p248, p249, p250, p251, p252) =AVERAGE(q245, q246, q247, q248, q249, q250, q251, q252) =AVERAGE(r245, r246, r247, r248, r249, r250, r251, r252) =AVERAGE(s245, s246, s247, s248, s249, s250, s251, s252) =AVERAGE(t245, t246, t247, t248, t249, t250, t251, t252) =STDEV.P(a245, a246, a247, a248, a249, a250, a251, a252) =STDEV.P(b245, b246, b247, b248, b249, b250, b251, b252) =STDEV.P(c245, c246, c247, c248, c249, c250, c251, c252) =STDEV.P(d245, d246, d247, d248, d249, d250, d251, d252) =STDEV.P(e245, e246, e247, e248, e249, e250, e251, e252) =STDEV.P(f245, f246, f247, f248, f249, f250, f251, f252) =STDEV.P(g245, g246, g247, g248, g249, g250, g251, g252) =STDEV.P(h245, h246, h247, h248, h249, h250, h251, h252) =STDEV.P(i245, i246, i247, i248, i249, i250, i251, i252) =STDEV.P(j245, j246, j247, j248, j249, j250, j251, j252) =STDEV.P(k245, k246, k247, k248, k249, k250, k251, k252) =STDEV.P(l245, l246, l247, l248, l249, l250, l251, l252) =STDEV.P(m245, m246, m247, m248, m249, m250, m251, m252) =STDEV.P(n245, n246, n247, n248, n249, n250, n251, n252) =STDEV.P(o245, o246, o247, o248, o249, o250, o251, o252) =STDEV.P(p245, p246, p247, p248, p249, p250, p251, p252) =STDEV.P(q245, q246, q247, q248, q249, q250, q251, q252) =STDEV.P(r245, r246, r247, r248, r249, r250, r251, r252) =STDEV.P(s245, s246, s247, s248, s249, s250, s251, s252) =STDEV.P(t245, t246, t247, t248, t249, t250, t251, t252) +=AVERAGE(a253, a254, a255, a256, a257, a258, a259) =AVERAGE(b253, b254, b255, b256, b257, b258, b259) =AVERAGE(c253, c254, c255, c256, c257, c258, c259) =AVERAGE(d253, d254, d255, d256, d257, d258, d259) =AVERAGE(e253, e254, e255, e256, e257, e258, e259) =AVERAGE(f253, f254, f255, f256, f257, f258, f259) =AVERAGE(g253, g254, g255, g256, g257, g258, g259) =AVERAGE(h253, h254, h255, h256, h257, h258, h259) =AVERAGE(i253, i254, i255, i256, i257, i258, i259) =AVERAGE(j253, j254, j255, j256, j257, j258, j259) =AVERAGE(k253, k254, k255, k256, k257, k258, k259) =AVERAGE(l253, l254, l255, l256, l257, l258, l259) =AVERAGE(m253, m254, m255, m256, m257, m258, m259) =AVERAGE(n253, n254, n255, n256, n257, n258, n259) =AVERAGE(o253, o254, o255, o256, o257, o258, o259) =AVERAGE(p253, p254, p255, p256, p257, p258, p259) =AVERAGE(q253, q254, q255, q256, q257, q258, q259) =AVERAGE(r253, r254, r255, r256, r257, r258, r259) =AVERAGE(s253, s254, s255, s256, s257, s258, s259) =AVERAGE(t253, t254, t255, t256, t257, t258, t259) =STDEV.P(a253, a254, a255, a256, a257, a258, a259) =STDEV.P(b253, b254, b255, b256, b257, b258, b259) =STDEV.P(c253, c254, c255, c256, c257, c258, c259) =STDEV.P(d253, d254, d255, d256, d257, d258, d259) =STDEV.P(e253, e254, e255, e256, e257, e258, e259) =STDEV.P(f253, f254, f255, f256, f257, f258, f259) =STDEV.P(g253, g254, g255, g256, g257, g258, g259) =STDEV.P(h253, h254, h255, h256, h257, h258, h259) =STDEV.P(i253, i254, i255, i256, i257, i258, i259) =STDEV.P(j253, j254, j255, j256, j257, j258, j259) =STDEV.P(k253, k254, k255, k256, k257, k258, k259) =STDEV.P(l253, l254, l255, l256, l257, l258, l259) =STDEV.P(m253, m254, m255, m256, m257, m258, m259) =STDEV.P(n253, n254, n255, n256, n257, n258, n259) =STDEV.P(o253, o254, o255, o256, o257, o258, o259) =STDEV.P(p253, p254, p255, p256, p257, p258, p259) =STDEV.P(q253, q254, q255, q256, q257, q258, q259) =STDEV.P(r253, r254, r255, r256, r257, r258, r259) =STDEV.P(s253, s254, s255, s256, s257, s258, s259) =STDEV.P(t253, t254, t255, t256, t257, t258, t259) +=AVERAGE(a260, a261, a262, a263, a264, a265, a266) =AVERAGE(b260, b261, b262, b263, b264, b265, b266) =AVERAGE(c260, c261, c262, c263, c264, c265, c266) =AVERAGE(d260, d261, d262, d263, d264, d265, d266) =AVERAGE(e260, e261, e262, e263, e264, e265, e266) =AVERAGE(f260, f261, f262, f263, f264, f265, f266) =AVERAGE(g260, g261, g262, g263, g264, g265, g266) =AVERAGE(h260, h261, h262, h263, h264, h265, h266) =AVERAGE(i260, i261, i262, i263, i264, i265, i266) =AVERAGE(j260, j261, j262, j263, j264, j265, j266) =AVERAGE(k260, k261, k262, k263, k264, k265, k266) =AVERAGE(l260, l261, l262, l263, l264, l265, l266) =AVERAGE(m260, m261, m262, m263, m264, m265, m266) =AVERAGE(n260, n261, n262, n263, n264, n265, n266) =AVERAGE(o260, o261, o262, o263, o264, o265, o266) =AVERAGE(p260, p261, p262, p263, p264, p265, p266) =AVERAGE(q260, q261, q262, q263, q264, q265, q266) =AVERAGE(r260, r261, r262, r263, r264, r265, r266) =AVERAGE(s260, s261, s262, s263, s264, s265, s266) =AVERAGE(t260, t261, t262, t263, t264, t265, t266) =STDEV.P(a260, a261, a262, a263, a264, a265, a266) =STDEV.P(b260, b261, b262, b263, b264, b265, b266) =STDEV.P(c260, c261, c262, c263, c264, c265, c266) =STDEV.P(d260, d261, d262, d263, d264, d265, d266) =STDEV.P(e260, e261, e262, e263, e264, e265, e266) =STDEV.P(f260, f261, f262, f263, f264, f265, f266) =STDEV.P(g260, g261, g262, g263, g264, g265, g266) =STDEV.P(h260, h261, h262, h263, h264, h265, h266) =STDEV.P(i260, i261, i262, i263, i264, i265, i266) =STDEV.P(j260, j261, j262, j263, j264, j265, j266) =STDEV.P(k260, k261, k262, k263, k264, k265, k266) =STDEV.P(l260, l261, l262, l263, l264, l265, l266) =STDEV.P(m260, m261, m262, m263, m264, m265, m266) =STDEV.P(n260, n261, n262, n263, n264, n265, n266) =STDEV.P(o260, o261, o262, o263, o264, o265, o266) =STDEV.P(p260, p261, p262, p263, p264, p265, p266) =STDEV.P(q260, q261, q262, q263, q264, q265, q266) =STDEV.P(r260, r261, r262, r263, r264, r265, r266) =STDEV.P(s260, s261, s262, s263, s264, s265, s266) =STDEV.P(t260, t261, t262, t263, t264, t265, t266) +=AVERAGE(a267, a268, a269, a270, a271, a272) =AVERAGE(b267, b268, b269, b270, b271, b272) =AVERAGE(c267, c268, c269, c270, c271, c272) =AVERAGE(d267, d268, d269, d270, d271, d272) =AVERAGE(e267, e268, e269, e270, e271, e272) =AVERAGE(f267, f268, f269, f270, f271, f272) =AVERAGE(g267, g268, g269, g270, g271, g272) =AVERAGE(h267, h268, h269, h270, h271, h272) =AVERAGE(i267, i268, i269, i270, i271, i272) =AVERAGE(j267, j268, j269, j270, j271, j272) =AVERAGE(k267, k268, k269, k270, k271, k272) =AVERAGE(l267, l268, l269, l270, l271, l272) =AVERAGE(m267, m268, m269, m270, m271, m272) =AVERAGE(n267, n268, n269, n270, n271, n272) =AVERAGE(o267, o268, o269, o270, o271, o272) =AVERAGE(p267, p268, p269, p270, p271, p272) =AVERAGE(q267, q268, q269, q270, q271, q272) =AVERAGE(r267, r268, r269, r270, r271, r272) =AVERAGE(s267, s268, s269, s270, s271, s272) =AVERAGE(t267, t268, t269, t270, t271, t272) =STDEV.P(a267, a268, a269, a270, a271, a272) =STDEV.P(b267, b268, b269, b270, b271, b272) =STDEV.P(c267, c268, c269, c270, c271, c272) =STDEV.P(d267, d268, d269, d270, d271, d272) =STDEV.P(e267, e268, e269, e270, e271, e272) =STDEV.P(f267, f268, f269, f270, f271, f272) =STDEV.P(g267, g268, g269, g270, g271, g272) =STDEV.P(h267, h268, h269, h270, h271, h272) =STDEV.P(i267, i268, i269, i270, i271, i272) =STDEV.P(j267, j268, j269, j270, j271, j272) =STDEV.P(k267, k268, k269, k270, k271, k272) =STDEV.P(l267, l268, l269, l270, l271, l272) =STDEV.P(m267, m268, m269, m270, m271, m272) =STDEV.P(n267, n268, n269, n270, n271, n272) =STDEV.P(o267, o268, o269, o270, o271, o272) =STDEV.P(p267, p268, p269, p270, p271, p272) =STDEV.P(q267, q268, q269, q270, q271, q272) =STDEV.P(r267, r268, r269, r270, r271, r272) =STDEV.P(s267, s268, s269, s270, s271, s272) =STDEV.P(t267, t268, t269, t270, t271, t272) +=AVERAGE(a273, a274, a275, a276, a277, a278) =AVERAGE(b273, b274, b275, b276, b277, b278) =AVERAGE(c273, c274, c275, c276, c277, c278) =AVERAGE(d273, d274, d275, d276, d277, d278) =AVERAGE(e273, e274, e275, e276, e277, e278) =AVERAGE(f273, f274, f275, f276, f277, f278) =AVERAGE(g273, g274, g275, g276, g277, g278) =AVERAGE(h273, h274, h275, h276, h277, h278) =AVERAGE(i273, i274, i275, i276, i277, i278) =AVERAGE(j273, j274, j275, j276, j277, j278) =AVERAGE(k273, k274, k275, k276, k277, k278) =AVERAGE(l273, l274, l275, l276, l277, l278) =AVERAGE(m273, m274, m275, m276, m277, m278) =AVERAGE(n273, n274, n275, n276, n277, n278) =AVERAGE(o273, o274, o275, o276, o277, o278) =AVERAGE(p273, p274, p275, p276, p277, p278) =AVERAGE(q273, q274, q275, q276, q277, q278) =AVERAGE(r273, r274, r275, r276, r277, r278) =AVERAGE(s273, s274, s275, s276, s277, s278) =AVERAGE(t273, t274, t275, t276, t277, t278) =STDEV.P(a273, a274, a275, a276, a277, a278) =STDEV.P(b273, b274, b275, b276, b277, b278) =STDEV.P(c273, c274, c275, c276, c277, c278) =STDEV.P(d273, d274, d275, d276, d277, d278) =STDEV.P(e273, e274, e275, e276, e277, e278) =STDEV.P(f273, f274, f275, f276, f277, f278) =STDEV.P(g273, g274, g275, g276, g277, g278) =STDEV.P(h273, h274, h275, h276, h277, h278) =STDEV.P(i273, i274, i275, i276, i277, i278) =STDEV.P(j273, j274, j275, j276, j277, j278) =STDEV.P(k273, k274, k275, k276, k277, k278) =STDEV.P(l273, l274, l275, l276, l277, l278) =STDEV.P(m273, m274, m275, m276, m277, m278) =STDEV.P(n273, n274, n275, n276, n277, n278) =STDEV.P(o273, o274, o275, o276, o277, o278) =STDEV.P(p273, p274, p275, p276, p277, p278) =STDEV.P(q273, q274, q275, q276, q277, q278) =STDEV.P(r273, r274, r275, r276, r277, r278) =STDEV.P(s273, s274, s275, s276, s277, s278) =STDEV.P(t273, t274, t275, t276, t277, t278) +=AVERAGE(a279, a280, a281, a282, a283, a284) =AVERAGE(b279, b280, b281, b282, b283, b284) =AVERAGE(c279, c280, c281, c282, c283, c284) =AVERAGE(d279, d280, d281, d282, d283, d284) =AVERAGE(e279, e280, e281, e282, e283, e284) =AVERAGE(f279, f280, f281, f282, f283, f284) =AVERAGE(g279, g280, g281, g282, g283, g284) =AVERAGE(h279, h280, h281, h282, h283, h284) =AVERAGE(i279, i280, i281, i282, i283, i284) =AVERAGE(j279, j280, j281, j282, j283, j284) =AVERAGE(k279, k280, k281, k282, k283, k284) =AVERAGE(l279, l280, l281, l282, l283, l284) =AVERAGE(m279, m280, m281, m282, m283, m284) =AVERAGE(n279, n280, n281, n282, n283, n284) =AVERAGE(o279, o280, o281, o282, o283, o284) =AVERAGE(p279, p280, p281, p282, p283, p284) =AVERAGE(q279, q280, q281, q282, q283, q284) =AVERAGE(r279, r280, r281, r282, r283, r284) =AVERAGE(s279, s280, s281, s282, s283, s284) =AVERAGE(t279, t280, t281, t282, t283, t284) =STDEV.P(a279, a280, a281, a282, a283, a284) =STDEV.P(b279, b280, b281, b282, b283, b284) =STDEV.P(c279, c280, c281, c282, c283, c284) =STDEV.P(d279, d280, d281, d282, d283, d284) =STDEV.P(e279, e280, e281, e282, e283, e284) =STDEV.P(f279, f280, f281, f282, f283, f284) =STDEV.P(g279, g280, g281, g282, g283, g284) =STDEV.P(h279, h280, h281, h282, h283, h284) =STDEV.P(i279, i280, i281, i282, i283, i284) =STDEV.P(j279, j280, j281, j282, j283, j284) =STDEV.P(k279, k280, k281, k282, k283, k284) =STDEV.P(l279, l280, l281, l282, l283, l284) =STDEV.P(m279, m280, m281, m282, m283, m284) =STDEV.P(n279, n280, n281, n282, n283, n284) =STDEV.P(o279, o280, o281, o282, o283, o284) =STDEV.P(p279, p280, p281, p282, p283, p284) =STDEV.P(q279, q280, q281, q282, q283, q284) =STDEV.P(r279, r280, r281, r282, r283, r284) =STDEV.P(s279, s280, s281, s282, s283, s284) =STDEV.P(t279, t280, t281, t282, t283, t284) +=AVERAGE(a285, a286, a287, a288, a289, a290) =AVERAGE(b285, b286, b287, b288, b289, b290) =AVERAGE(c285, c286, c287, c288, c289, c290) =AVERAGE(d285, d286, d287, d288, d289, d290) =AVERAGE(e285, e286, e287, e288, e289, e290) =AVERAGE(f285, f286, f287, f288, f289, f290) =AVERAGE(g285, g286, g287, g288, g289, g290) =AVERAGE(h285, h286, h287, h288, h289, h290) =AVERAGE(i285, i286, i287, i288, i289, i290) =AVERAGE(j285, j286, j287, j288, j289, j290) =AVERAGE(k285, k286, k287, k288, k289, k290) =AVERAGE(l285, l286, l287, l288, l289, l290) =AVERAGE(m285, m286, m287, m288, m289, m290) =AVERAGE(n285, n286, n287, n288, n289, n290) =AVERAGE(o285, o286, o287, o288, o289, o290) =AVERAGE(p285, p286, p287, p288, p289, p290) =AVERAGE(q285, q286, q287, q288, q289, q290) =AVERAGE(r285, r286, r287, r288, r289, r290) =AVERAGE(s285, s286, s287, s288, s289, s290) =AVERAGE(t285, t286, t287, t288, t289, t290) =STDEV.P(a285, a286, a287, a288, a289, a290) =STDEV.P(b285, b286, b287, b288, b289, b290) =STDEV.P(c285, c286, c287, c288, c289, c290) =STDEV.P(d285, d286, d287, d288, d289, d290) =STDEV.P(e285, e286, e287, e288, e289, e290) =STDEV.P(f285, f286, f287, f288, f289, f290) =STDEV.P(g285, g286, g287, g288, g289, g290) =STDEV.P(h285, h286, h287, h288, h289, h290) =STDEV.P(i285, i286, i287, i288, i289, i290) =STDEV.P(j285, j286, j287, j288, j289, j290) =STDEV.P(k285, k286, k287, k288, k289, k290) =STDEV.P(l285, l286, l287, l288, l289, l290) =STDEV.P(m285, m286, m287, m288, m289, m290) =STDEV.P(n285, n286, n287, n288, n289, n290) =STDEV.P(o285, o286, o287, o288, o289, o290) =STDEV.P(p285, p286, p287, p288, p289, p290) =STDEV.P(q285, q286, q287, q288, q289, q290) =STDEV.P(r285, r286, r287, r288, r289, r290) =STDEV.P(s285, s286, s287, s288, s289, s290) =STDEV.P(t285, t286, t287, t288, t289, t290) +=AVERAGE(a291, a292, a293, a294, a295, a296) =AVERAGE(b291, b292, b293, b294, b295, b296) =AVERAGE(c291, c292, c293, c294, c295, c296) =AVERAGE(d291, d292, d293, d294, d295, d296) =AVERAGE(e291, e292, e293, e294, e295, e296) =AVERAGE(f291, f292, f293, f294, f295, f296) =AVERAGE(g291, g292, g293, g294, g295, g296) =AVERAGE(h291, h292, h293, h294, h295, h296) =AVERAGE(i291, i292, i293, i294, i295, i296) =AVERAGE(j291, j292, j293, j294, j295, j296) =AVERAGE(k291, k292, k293, k294, k295, k296) =AVERAGE(l291, l292, l293, l294, l295, l296) =AVERAGE(m291, m292, m293, m294, m295, m296) =AVERAGE(n291, n292, n293, n294, n295, n296) =AVERAGE(o291, o292, o293, o294, o295, o296) =AVERAGE(p291, p292, p293, p294, p295, p296) =AVERAGE(q291, q292, q293, q294, q295, q296) =AVERAGE(r291, r292, r293, r294, r295, r296) =AVERAGE(s291, s292, s293, s294, s295, s296) =AVERAGE(t291, t292, t293, t294, t295, t296) =STDEV.P(a291, a292, a293, a294, a295, a296) =STDEV.P(b291, b292, b293, b294, b295, b296) =STDEV.P(c291, c292, c293, c294, c295, c296) =STDEV.P(d291, d292, d293, d294, d295, d296) =STDEV.P(e291, e292, e293, e294, e295, e296) =STDEV.P(f291, f292, f293, f294, f295, f296) =STDEV.P(g291, g292, g293, g294, g295, g296) =STDEV.P(h291, h292, h293, h294, h295, h296) =STDEV.P(i291, i292, i293, i294, i295, i296) =STDEV.P(j291, j292, j293, j294, j295, j296) =STDEV.P(k291, k292, k293, k294, k295, k296) =STDEV.P(l291, l292, l293, l294, l295, l296) =STDEV.P(m291, m292, m293, m294, m295, m296) =STDEV.P(n291, n292, n293, n294, n295, n296) =STDEV.P(o291, o292, o293, o294, o295, o296) =STDEV.P(p291, p292, p293, p294, p295, p296) =STDEV.P(q291, q292, q293, q294, q295, q296) =STDEV.P(r291, r292, r293, r294, r295, r296) =STDEV.P(s291, s292, s293, s294, s295, s296) =STDEV.P(t291, t292, t293, t294, t295, t296) +=AVERAGE(a297, a298, a299, a300, a301, a302) =AVERAGE(b297, b298, b299, b300, b301, b302) =AVERAGE(c297, c298, c299, c300, c301, c302) =AVERAGE(d297, d298, d299, d300, d301, d302) =AVERAGE(e297, e298, e299, e300, e301, e302) =AVERAGE(f297, f298, f299, f300, f301, f302) =AVERAGE(g297, g298, g299, g300, g301, g302) =AVERAGE(h297, h298, h299, h300, h301, h302) =AVERAGE(i297, i298, i299, i300, i301, i302) =AVERAGE(j297, j298, j299, j300, j301, j302) =AVERAGE(k297, k298, k299, k300, k301, k302) =AVERAGE(l297, l298, l299, l300, l301, l302) =AVERAGE(m297, m298, m299, m300, m301, m302) =AVERAGE(n297, n298, n299, n300, n301, n302) =AVERAGE(o297, o298, o299, o300, o301, o302) =AVERAGE(p297, p298, p299, p300, p301, p302) =AVERAGE(q297, q298, q299, q300, q301, q302) =AVERAGE(r297, r298, r299, r300, r301, r302) =AVERAGE(s297, s298, s299, s300, s301, s302) =AVERAGE(t297, t298, t299, t300, t301, t302) =STDEV.P(a297, a298, a299, a300, a301, a302) =STDEV.P(b297, b298, b299, b300, b301, b302) =STDEV.P(c297, c298, c299, c300, c301, c302) =STDEV.P(d297, d298, d299, d300, d301, d302) =STDEV.P(e297, e298, e299, e300, e301, e302) =STDEV.P(f297, f298, f299, f300, f301, f302) =STDEV.P(g297, g298, g299, g300, g301, g302) =STDEV.P(h297, h298, h299, h300, h301, h302) =STDEV.P(i297, i298, i299, i300, i301, i302) =STDEV.P(j297, j298, j299, j300, j301, j302) =STDEV.P(k297, k298, k299, k300, k301, k302) =STDEV.P(l297, l298, l299, l300, l301, l302) =STDEV.P(m297, m298, m299, m300, m301, m302) =STDEV.P(n297, n298, n299, n300, n301, n302) =STDEV.P(o297, o298, o299, o300, o301, o302) =STDEV.P(p297, p298, p299, p300, p301, p302) =STDEV.P(q297, q298, q299, q300, q301, q302) =STDEV.P(r297, r298, r299, r300, r301, r302) =STDEV.P(s297, s298, s299, s300, s301, s302) =STDEV.P(t297, t298, t299, t300, t301, t302) +=AVERAGE(a303, a304, a305, a306, a307, a308) =AVERAGE(b303, b304, b305, b306, b307, b308) =AVERAGE(c303, c304, c305, c306, c307, c308) =AVERAGE(d303, d304, d305, d306, d307, d308) =AVERAGE(e303, e304, e305, e306, e307, e308) =AVERAGE(f303, f304, f305, f306, f307, f308) =AVERAGE(g303, g304, g305, g306, g307, g308) =AVERAGE(h303, h304, h305, h306, h307, h308) =AVERAGE(i303, i304, i305, i306, i307, i308) =AVERAGE(j303, j304, j305, j306, j307, j308) =AVERAGE(k303, k304, k305, k306, k307, k308) =AVERAGE(l303, l304, l305, l306, l307, l308) =AVERAGE(m303, m304, m305, m306, m307, m308) =AVERAGE(n303, n304, n305, n306, n307, n308) =AVERAGE(o303, o304, o305, o306, o307, o308) =AVERAGE(p303, p304, p305, p306, p307, p308) =AVERAGE(q303, q304, q305, q306, q307, q308) =AVERAGE(r303, r304, r305, r306, r307, r308) =AVERAGE(s303, s304, s305, s306, s307, s308) =AVERAGE(t303, t304, t305, t306, t307, t308) =STDEV.P(a303, a304, a305, a306, a307, a308) =STDEV.P(b303, b304, b305, b306, b307, b308) =STDEV.P(c303, c304, c305, c306, c307, c308) =STDEV.P(d303, d304, d305, d306, d307, d308) =STDEV.P(e303, e304, e305, e306, e307, e308) =STDEV.P(f303, f304, f305, f306, f307, f308) =STDEV.P(g303, g304, g305, g306, g307, g308) =STDEV.P(h303, h304, h305, h306, h307, h308) =STDEV.P(i303, i304, i305, i306, i307, i308) =STDEV.P(j303, j304, j305, j306, j307, j308) =STDEV.P(k303, k304, k305, k306, k307, k308) =STDEV.P(l303, l304, l305, l306, l307, l308) =STDEV.P(m303, m304, m305, m306, m307, m308) =STDEV.P(n303, n304, n305, n306, n307, n308) =STDEV.P(o303, o304, o305, o306, o307, o308) =STDEV.P(p303, p304, p305, p306, p307, p308) =STDEV.P(q303, q304, q305, q306, q307, q308) =STDEV.P(r303, r304, r305, r306, r307, r308) =STDEV.P(s303, s304, s305, s306, s307, s308) =STDEV.P(t303, t304, t305, t306, t307, t308) +=AVERAGE(a309, a310, a311, a312, a313, a314) =AVERAGE(b309, b310, b311, b312, b313, b314) =AVERAGE(c309, c310, c311, c312, c313, c314) =AVERAGE(d309, d310, d311, d312, d313, d314) =AVERAGE(e309, e310, e311, e312, e313, e314) =AVERAGE(f309, f310, f311, f312, f313, f314) =AVERAGE(g309, g310, g311, g312, g313, g314) =AVERAGE(h309, h310, h311, h312, h313, h314) =AVERAGE(i309, i310, i311, i312, i313, i314) =AVERAGE(j309, j310, j311, j312, j313, j314) =AVERAGE(k309, k310, k311, k312, k313, k314) =AVERAGE(l309, l310, l311, l312, l313, l314) =AVERAGE(m309, m310, m311, m312, m313, m314) =AVERAGE(n309, n310, n311, n312, n313, n314) =AVERAGE(o309, o310, o311, o312, o313, o314) =AVERAGE(p309, p310, p311, p312, p313, p314) =AVERAGE(q309, q310, q311, q312, q313, q314) =AVERAGE(r309, r310, r311, r312, r313, r314) =AVERAGE(s309, s310, s311, s312, s313, s314) =AVERAGE(t309, t310, t311, t312, t313, t314) =STDEV.P(a309, a310, a311, a312, a313, a314) =STDEV.P(b309, b310, b311, b312, b313, b314) =STDEV.P(c309, c310, c311, c312, c313, c314) =STDEV.P(d309, d310, d311, d312, d313, d314) =STDEV.P(e309, e310, e311, e312, e313, e314) =STDEV.P(f309, f310, f311, f312, f313, f314) =STDEV.P(g309, g310, g311, g312, g313, g314) =STDEV.P(h309, h310, h311, h312, h313, h314) =STDEV.P(i309, i310, i311, i312, i313, i314) =STDEV.P(j309, j310, j311, j312, j313, j314) =STDEV.P(k309, k310, k311, k312, k313, k314) =STDEV.P(l309, l310, l311, l312, l313, l314) =STDEV.P(m309, m310, m311, m312, m313, m314) =STDEV.P(n309, n310, n311, n312, n313, n314) =STDEV.P(o309, o310, o311, o312, o313, o314) =STDEV.P(p309, p310, p311, p312, p313, p314) =STDEV.P(q309, q310, q311, q312, q313, q314) =STDEV.P(r309, r310, r311, r312, r313, r314) =STDEV.P(s309, s310, s311, s312, s313, s314) =STDEV.P(t309, t310, t311, t312, t313, t314) +=AVERAGE(a315, a316, a317, a318, a319, a320) =AVERAGE(b315, b316, b317, b318, b319, b320) =AVERAGE(c315, c316, c317, c318, c319, c320) =AVERAGE(d315, d316, d317, d318, d319, d320) =AVERAGE(e315, e316, e317, e318, e319, e320) =AVERAGE(f315, f316, f317, f318, f319, f320) =AVERAGE(g315, g316, g317, g318, g319, g320) =AVERAGE(h315, h316, h317, h318, h319, h320) =AVERAGE(i315, i316, i317, i318, i319, i320) =AVERAGE(j315, j316, j317, j318, j319, j320) =AVERAGE(k315, k316, k317, k318, k319, k320) =AVERAGE(l315, l316, l317, l318, l319, l320) =AVERAGE(m315, m316, m317, m318, m319, m320) =AVERAGE(n315, n316, n317, n318, n319, n320) =AVERAGE(o315, o316, o317, o318, o319, o320) =AVERAGE(p315, p316, p317, p318, p319, p320) =AVERAGE(q315, q316, q317, q318, q319, q320) =AVERAGE(r315, r316, r317, r318, r319, r320) =AVERAGE(s315, s316, s317, s318, s319, s320) =AVERAGE(t315, t316, t317, t318, t319, t320) =STDEV.P(a315, a316, a317, a318, a319, a320) =STDEV.P(b315, b316, b317, b318, b319, b320) =STDEV.P(c315, c316, c317, c318, c319, c320) =STDEV.P(d315, d316, d317, d318, d319, d320) =STDEV.P(e315, e316, e317, e318, e319, e320) =STDEV.P(f315, f316, f317, f318, f319, f320) =STDEV.P(g315, g316, g317, g318, g319, g320) =STDEV.P(h315, h316, h317, h318, h319, h320) =STDEV.P(i315, i316, i317, i318, i319, i320) =STDEV.P(j315, j316, j317, j318, j319, j320) =STDEV.P(k315, k316, k317, k318, k319, k320) =STDEV.P(l315, l316, l317, l318, l319, l320) =STDEV.P(m315, m316, m317, m318, m319, m320) =STDEV.P(n315, n316, n317, n318, n319, n320) =STDEV.P(o315, o316, o317, o318, o319, o320) =STDEV.P(p315, p316, p317, p318, p319, p320) =STDEV.P(q315, q316, q317, q318, q319, q320) =STDEV.P(r315, r316, r317, r318, r319, r320) =STDEV.P(s315, s316, s317, s318, s319, s320) =STDEV.P(t315, t316, t317, t318, t319, t320) +=AVERAGE(a321, a322, a323, a324, a325) =AVERAGE(b321, b322, b323, b324, b325) =AVERAGE(c321, c322, c323, c324, c325) =AVERAGE(d321, d322, d323, d324, d325) =AVERAGE(e321, e322, e323, e324, e325) =AVERAGE(f321, f322, f323, f324, f325) =AVERAGE(g321, g322, g323, g324, g325) =AVERAGE(h321, h322, h323, h324, h325) =AVERAGE(i321, i322, i323, i324, i325) =AVERAGE(j321, j322, j323, j324, j325) =AVERAGE(k321, k322, k323, k324, k325) =AVERAGE(l321, l322, l323, l324, l325) =AVERAGE(m321, m322, m323, m324, m325) =AVERAGE(n321, n322, n323, n324, n325) =AVERAGE(o321, o322, o323, o324, o325) =AVERAGE(p321, p322, p323, p324, p325) =AVERAGE(q321, q322, q323, q324, q325) =AVERAGE(r321, r322, r323, r324, r325) =AVERAGE(s321, s322, s323, s324, s325) =AVERAGE(t321, t322, t323, t324, t325) =STDEV.P(a321, a322, a323, a324, a325) =STDEV.P(b321, b322, b323, b324, b325) =STDEV.P(c321, c322, c323, c324, c325) =STDEV.P(d321, d322, d323, d324, d325) =STDEV.P(e321, e322, e323, e324, e325) =STDEV.P(f321, f322, f323, f324, f325) =STDEV.P(g321, g322, g323, g324, g325) =STDEV.P(h321, h322, h323, h324, h325) =STDEV.P(i321, i322, i323, i324, i325) =STDEV.P(j321, j322, j323, j324, j325) =STDEV.P(k321, k322, k323, k324, k325) =STDEV.P(l321, l322, l323, l324, l325) =STDEV.P(m321, m322, m323, m324, m325) =STDEV.P(n321, n322, n323, n324, n325) =STDEV.P(o321, o322, o323, o324, o325) =STDEV.P(p321, p322, p323, p324, p325) =STDEV.P(q321, q322, q323, q324, q325) =STDEV.P(r321, r322, r323, r324, r325) =STDEV.P(s321, s322, s323, s324, s325) =STDEV.P(t321, t322, t323, t324, t325) +=AVERAGE(a326, a327, a328, a329, a330) =AVERAGE(b326, b327, b328, b329, b330) =AVERAGE(c326, c327, c328, c329, c330) =AVERAGE(d326, d327, d328, d329, d330) =AVERAGE(e326, e327, e328, e329, e330) =AVERAGE(f326, f327, f328, f329, f330) =AVERAGE(g326, g327, g328, g329, g330) =AVERAGE(h326, h327, h328, h329, h330) =AVERAGE(i326, i327, i328, i329, i330) =AVERAGE(j326, j327, j328, j329, j330) =AVERAGE(k326, k327, k328, k329, k330) =AVERAGE(l326, l327, l328, l329, l330) =AVERAGE(m326, m327, m328, m329, m330) =AVERAGE(n326, n327, n328, n329, n330) =AVERAGE(o326, o327, o328, o329, o330) =AVERAGE(p326, p327, p328, p329, p330) =AVERAGE(q326, q327, q328, q329, q330) =AVERAGE(r326, r327, r328, r329, r330) =AVERAGE(s326, s327, s328, s329, s330) =AVERAGE(t326, t327, t328, t329, t330) =STDEV.P(a326, a327, a328, a329, a330) =STDEV.P(b326, b327, b328, b329, b330) =STDEV.P(c326, c327, c328, c329, c330) =STDEV.P(d326, d327, d328, d329, d330) =STDEV.P(e326, e327, e328, e329, e330) =STDEV.P(f326, f327, f328, f329, f330) =STDEV.P(g326, g327, g328, g329, g330) =STDEV.P(h326, h327, h328, h329, h330) =STDEV.P(i326, i327, i328, i329, i330) =STDEV.P(j326, j327, j328, j329, j330) =STDEV.P(k326, k327, k328, k329, k330) =STDEV.P(l326, l327, l328, l329, l330) =STDEV.P(m326, m327, m328, m329, m330) =STDEV.P(n326, n327, n328, n329, n330) =STDEV.P(o326, o327, o328, o329, o330) =STDEV.P(p326, p327, p328, p329, p330) =STDEV.P(q326, q327, q328, q329, q330) =STDEV.P(r326, r327, r328, r329, r330) =STDEV.P(s326, s327, s328, s329, s330) =STDEV.P(t326, t327, t328, t329, t330) +=AVERAGE(a331, a332, a333, a334, a335) =AVERAGE(b331, b332, b333, b334, b335) =AVERAGE(c331, c332, c333, c334, c335) =AVERAGE(d331, d332, d333, d334, d335) =AVERAGE(e331, e332, e333, e334, e335) =AVERAGE(f331, f332, f333, f334, f335) =AVERAGE(g331, g332, g333, g334, g335) =AVERAGE(h331, h332, h333, h334, h335) =AVERAGE(i331, i332, i333, i334, i335) =AVERAGE(j331, j332, j333, j334, j335) =AVERAGE(k331, k332, k333, k334, k335) =AVERAGE(l331, l332, l333, l334, l335) =AVERAGE(m331, m332, m333, m334, m335) =AVERAGE(n331, n332, n333, n334, n335) =AVERAGE(o331, o332, o333, o334, o335) =AVERAGE(p331, p332, p333, p334, p335) =AVERAGE(q331, q332, q333, q334, q335) =AVERAGE(r331, r332, r333, r334, r335) =AVERAGE(s331, s332, s333, s334, s335) =AVERAGE(t331, t332, t333, t334, t335) =STDEV.P(a331, a332, a333, a334, a335) =STDEV.P(b331, b332, b333, b334, b335) =STDEV.P(c331, c332, c333, c334, c335) =STDEV.P(d331, d332, d333, d334, d335) =STDEV.P(e331, e332, e333, e334, e335) =STDEV.P(f331, f332, f333, f334, f335) =STDEV.P(g331, g332, g333, g334, g335) =STDEV.P(h331, h332, h333, h334, h335) =STDEV.P(i331, i332, i333, i334, i335) =STDEV.P(j331, j332, j333, j334, j335) =STDEV.P(k331, k332, k333, k334, k335) =STDEV.P(l331, l332, l333, l334, l335) =STDEV.P(m331, m332, m333, m334, m335) =STDEV.P(n331, n332, n333, n334, n335) =STDEV.P(o331, o332, o333, o334, o335) =STDEV.P(p331, p332, p333, p334, p335) =STDEV.P(q331, q332, q333, q334, q335) =STDEV.P(r331, r332, r333, r334, r335) =STDEV.P(s331, s332, s333, s334, s335) =STDEV.P(t331, t332, t333, t334, t335) +=AVERAGE(a336, a337, a338, a339, a340) =AVERAGE(b336, b337, b338, b339, b340) =AVERAGE(c336, c337, c338, c339, c340) =AVERAGE(d336, d337, d338, d339, d340) =AVERAGE(e336, e337, e338, e339, e340) =AVERAGE(f336, f337, f338, f339, f340) =AVERAGE(g336, g337, g338, g339, g340) =AVERAGE(h336, h337, h338, h339, h340) =AVERAGE(i336, i337, i338, i339, i340) =AVERAGE(j336, j337, j338, j339, j340) =AVERAGE(k336, k337, k338, k339, k340) =AVERAGE(l336, l337, l338, l339, l340) =AVERAGE(m336, m337, m338, m339, m340) =AVERAGE(n336, n337, n338, n339, n340) =AVERAGE(o336, o337, o338, o339, o340) =AVERAGE(p336, p337, p338, p339, p340) =AVERAGE(q336, q337, q338, q339, q340) =AVERAGE(r336, r337, r338, r339, r340) =AVERAGE(s336, s337, s338, s339, s340) =AVERAGE(t336, t337, t338, t339, t340) =STDEV.P(a336, a337, a338, a339, a340) =STDEV.P(b336, b337, b338, b339, b340) =STDEV.P(c336, c337, c338, c339, c340) =STDEV.P(d336, d337, d338, d339, d340) =STDEV.P(e336, e337, e338, e339, e340) =STDEV.P(f336, f337, f338, f339, f340) =STDEV.P(g336, g337, g338, g339, g340) =STDEV.P(h336, h337, h338, h339, h340) =STDEV.P(i336, i337, i338, i339, i340) =STDEV.P(j336, j337, j338, j339, j340) =STDEV.P(k336, k337, k338, k339, k340) =STDEV.P(l336, l337, l338, l339, l340) =STDEV.P(m336, m337, m338, m339, m340) =STDEV.P(n336, n337, n338, n339, n340) =STDEV.P(o336, o337, o338, o339, o340) =STDEV.P(p336, p337, p338, p339, p340) =STDEV.P(q336, q337, q338, q339, q340) =STDEV.P(r336, r337, r338, r339, r340) =STDEV.P(s336, s337, s338, s339, s340) =STDEV.P(t336, t337, t338, t339, t340) +=AVERAGE(a341, a342, a343, a344, a345) =AVERAGE(b341, b342, b343, b344, b345) =AVERAGE(c341, c342, c343, c344, c345) =AVERAGE(d341, d342, d343, d344, d345) =AVERAGE(e341, e342, e343, e344, e345) =AVERAGE(f341, f342, f343, f344, f345) =AVERAGE(g341, g342, g343, g344, g345) =AVERAGE(h341, h342, h343, h344, h345) =AVERAGE(i341, i342, i343, i344, i345) =AVERAGE(j341, j342, j343, j344, j345) =AVERAGE(k341, k342, k343, k344, k345) =AVERAGE(l341, l342, l343, l344, l345) =AVERAGE(m341, m342, m343, m344, m345) =AVERAGE(n341, n342, n343, n344, n345) =AVERAGE(o341, o342, o343, o344, o345) =AVERAGE(p341, p342, p343, p344, p345) =AVERAGE(q341, q342, q343, q344, q345) =AVERAGE(r341, r342, r343, r344, r345) =AVERAGE(s341, s342, s343, s344, s345) =AVERAGE(t341, t342, t343, t344, t345) =STDEV.P(a341, a342, a343, a344, a345) =STDEV.P(b341, b342, b343, b344, b345) =STDEV.P(c341, c342, c343, c344, c345) =STDEV.P(d341, d342, d343, d344, d345) =STDEV.P(e341, e342, e343, e344, e345) =STDEV.P(f341, f342, f343, f344, f345) =STDEV.P(g341, g342, g343, g344, g345) =STDEV.P(h341, h342, h343, h344, h345) =STDEV.P(i341, i342, i343, i344, i345) =STDEV.P(j341, j342, j343, j344, j345) =STDEV.P(k341, k342, k343, k344, k345) =STDEV.P(l341, l342, l343, l344, l345) =STDEV.P(m341, m342, m343, m344, m345) =STDEV.P(n341, n342, n343, n344, n345) =STDEV.P(o341, o342, o343, o344, o345) =STDEV.P(p341, p342, p343, p344, p345) =STDEV.P(q341, q342, q343, q344, q345) =STDEV.P(r341, r342, r343, r344, r345) =STDEV.P(s341, s342, s343, s344, s345) =STDEV.P(t341, t342, t343, t344, t345) +=AVERAGE(a346, a347, a348, a349, a350) =AVERAGE(b346, b347, b348, b349, b350) =AVERAGE(c346, c347, c348, c349, c350) =AVERAGE(d346, d347, d348, d349, d350) =AVERAGE(e346, e347, e348, e349, e350) =AVERAGE(f346, f347, f348, f349, f350) =AVERAGE(g346, g347, g348, g349, g350) =AVERAGE(h346, h347, h348, h349, h350) =AVERAGE(i346, i347, i348, i349, i350) =AVERAGE(j346, j347, j348, j349, j350) =AVERAGE(k346, k347, k348, k349, k350) =AVERAGE(l346, l347, l348, l349, l350) =AVERAGE(m346, m347, m348, m349, m350) =AVERAGE(n346, n347, n348, n349, n350) =AVERAGE(o346, o347, o348, o349, o350) =AVERAGE(p346, p347, p348, p349, p350) =AVERAGE(q346, q347, q348, q349, q350) =AVERAGE(r346, r347, r348, r349, r350) =AVERAGE(s346, s347, s348, s349, s350) =AVERAGE(t346, t347, t348, t349, t350) =STDEV.P(a346, a347, a348, a349, a350) =STDEV.P(b346, b347, b348, b349, b350) =STDEV.P(c346, c347, c348, c349, c350) =STDEV.P(d346, d347, d348, d349, d350) =STDEV.P(e346, e347, e348, e349, e350) =STDEV.P(f346, f347, f348, f349, f350) =STDEV.P(g346, g347, g348, g349, g350) =STDEV.P(h346, h347, h348, h349, h350) =STDEV.P(i346, i347, i348, i349, i350) =STDEV.P(j346, j347, j348, j349, j350) =STDEV.P(k346, k347, k348, k349, k350) =STDEV.P(l346, l347, l348, l349, l350) =STDEV.P(m346, m347, m348, m349, m350) =STDEV.P(n346, n347, n348, n349, n350) =STDEV.P(o346, o347, o348, o349, o350) =STDEV.P(p346, p347, p348, p349, p350) =STDEV.P(q346, q347, q348, q349, q350) =STDEV.P(r346, r347, r348, r349, r350) =STDEV.P(s346, s347, s348, s349, s350) =STDEV.P(t346, t347, t348, t349, t350) +=AVERAGE(a351, a352, a353, a354, a355) =AVERAGE(b351, b352, b353, b354, b355) =AVERAGE(c351, c352, c353, c354, c355) =AVERAGE(d351, d352, d353, d354, d355) =AVERAGE(e351, e352, e353, e354, e355) =AVERAGE(f351, f352, f353, f354, f355) =AVERAGE(g351, g352, g353, g354, g355) =AVERAGE(h351, h352, h353, h354, h355) =AVERAGE(i351, i352, i353, i354, i355) =AVERAGE(j351, j352, j353, j354, j355) =AVERAGE(k351, k352, k353, k354, k355) =AVERAGE(l351, l352, l353, l354, l355) =AVERAGE(m351, m352, m353, m354, m355) =AVERAGE(n351, n352, n353, n354, n355) =AVERAGE(o351, o352, o353, o354, o355) =AVERAGE(p351, p352, p353, p354, p355) =AVERAGE(q351, q352, q353, q354, q355) =AVERAGE(r351, r352, r353, r354, r355) =AVERAGE(s351, s352, s353, s354, s355) =AVERAGE(t351, t352, t353, t354, t355) =STDEV.P(a351, a352, a353, a354, a355) =STDEV.P(b351, b352, b353, b354, b355) =STDEV.P(c351, c352, c353, c354, c355) =STDEV.P(d351, d352, d353, d354, d355) =STDEV.P(e351, e352, e353, e354, e355) =STDEV.P(f351, f352, f353, f354, f355) =STDEV.P(g351, g352, g353, g354, g355) =STDEV.P(h351, h352, h353, h354, h355) =STDEV.P(i351, i352, i353, i354, i355) =STDEV.P(j351, j352, j353, j354, j355) =STDEV.P(k351, k352, k353, k354, k355) =STDEV.P(l351, l352, l353, l354, l355) =STDEV.P(m351, m352, m353, m354, m355) =STDEV.P(n351, n352, n353, n354, n355) =STDEV.P(o351, o352, o353, o354, o355) =STDEV.P(p351, p352, p353, p354, p355) =STDEV.P(q351, q352, q353, q354, q355) =STDEV.P(r351, r352, r353, r354, r355) =STDEV.P(s351, s352, s353, s354, s355) =STDEV.P(t351, t352, t353, t354, t355) +=AVERAGE(a356, a357, a358, a359, a360) =AVERAGE(b356, b357, b358, b359, b360) =AVERAGE(c356, c357, c358, c359, c360) =AVERAGE(d356, d357, d358, d359, d360) =AVERAGE(e356, e357, e358, e359, e360) =AVERAGE(f356, f357, f358, f359, f360) =AVERAGE(g356, g357, g358, g359, g360) =AVERAGE(h356, h357, h358, h359, h360) =AVERAGE(i356, i357, i358, i359, i360) =AVERAGE(j356, j357, j358, j359, j360) =AVERAGE(k356, k357, k358, k359, k360) =AVERAGE(l356, l357, l358, l359, l360) =AVERAGE(m356, m357, m358, m359, m360) =AVERAGE(n356, n357, n358, n359, n360) =AVERAGE(o356, o357, o358, o359, o360) =AVERAGE(p356, p357, p358, p359, p360) =AVERAGE(q356, q357, q358, q359, q360) =AVERAGE(r356, r357, r358, r359, r360) =AVERAGE(s356, s357, s358, s359, s360) =AVERAGE(t356, t357, t358, t359, t360) =STDEV.P(a356, a357, a358, a359, a360) =STDEV.P(b356, b357, b358, b359, b360) =STDEV.P(c356, c357, c358, c359, c360) =STDEV.P(d356, d357, d358, d359, d360) =STDEV.P(e356, e357, e358, e359, e360) =STDEV.P(f356, f357, f358, f359, f360) =STDEV.P(g356, g357, g358, g359, g360) =STDEV.P(h356, h357, h358, h359, h360) =STDEV.P(i356, i357, i358, i359, i360) =STDEV.P(j356, j357, j358, j359, j360) =STDEV.P(k356, k357, k358, k359, k360) =STDEV.P(l356, l357, l358, l359, l360) =STDEV.P(m356, m357, m358, m359, m360) =STDEV.P(n356, n357, n358, n359, n360) =STDEV.P(o356, o357, o358, o359, o360) =STDEV.P(p356, p357, p358, p359, p360) =STDEV.P(q356, q357, q358, q359, q360) =STDEV.P(r356, r357, r358, r359, r360) =STDEV.P(s356, s357, s358, s359, s360) =STDEV.P(t356, t357, t358, t359, t360) +=AVERAGE(a361, a362, a363, a364, a365) =AVERAGE(b361, b362, b363, b364, b365) =AVERAGE(c361, c362, c363, c364, c365) =AVERAGE(d361, d362, d363, d364, d365) =AVERAGE(e361, e362, e363, e364, e365) =AVERAGE(f361, f362, f363, f364, f365) =AVERAGE(g361, g362, g363, g364, g365) =AVERAGE(h361, h362, h363, h364, h365) =AVERAGE(i361, i362, i363, i364, i365) =AVERAGE(j361, j362, j363, j364, j365) =AVERAGE(k361, k362, k363, k364, k365) =AVERAGE(l361, l362, l363, l364, l365) =AVERAGE(m361, m362, m363, m364, m365) =AVERAGE(n361, n362, n363, n364, n365) =AVERAGE(o361, o362, o363, o364, o365) =AVERAGE(p361, p362, p363, p364, p365) =AVERAGE(q361, q362, q363, q364, q365) =AVERAGE(r361, r362, r363, r364, r365) =AVERAGE(s361, s362, s363, s364, s365) =AVERAGE(t361, t362, t363, t364, t365) =STDEV.P(a361, a362, a363, a364, a365) =STDEV.P(b361, b362, b363, b364, b365) =STDEV.P(c361, c362, c363, c364, c365) =STDEV.P(d361, d362, d363, d364, d365) =STDEV.P(e361, e362, e363, e364, e365) =STDEV.P(f361, f362, f363, f364, f365) =STDEV.P(g361, g362, g363, g364, g365) =STDEV.P(h361, h362, h363, h364, h365) =STDEV.P(i361, i362, i363, i364, i365) =STDEV.P(j361, j362, j363, j364, j365) =STDEV.P(k361, k362, k363, k364, k365) =STDEV.P(l361, l362, l363, l364, l365) =STDEV.P(m361, m362, m363, m364, m365) =STDEV.P(n361, n362, n363, n364, n365) =STDEV.P(o361, o362, o363, o364, o365) =STDEV.P(p361, p362, p363, p364, p365) =STDEV.P(q361, q362, q363, q364, q365) =STDEV.P(r361, r362, r363, r364, r365) =STDEV.P(s361, s362, s363, s364, s365) =STDEV.P(t361, t362, t363, t364, t365) +=AVERAGE(a366, a367, a368, a369, a370) =AVERAGE(b366, b367, b368, b369, b370) =AVERAGE(c366, c367, c368, c369, c370) =AVERAGE(d366, d367, d368, d369, d370) =AVERAGE(e366, e367, e368, e369, e370) =AVERAGE(f366, f367, f368, f369, f370) =AVERAGE(g366, g367, g368, g369, g370) =AVERAGE(h366, h367, h368, h369, h370) =AVERAGE(i366, i367, i368, i369, i370) =AVERAGE(j366, j367, j368, j369, j370) =AVERAGE(k366, k367, k368, k369, k370) =AVERAGE(l366, l367, l368, l369, l370) =AVERAGE(m366, m367, m368, m369, m370) =AVERAGE(n366, n367, n368, n369, n370) =AVERAGE(o366, o367, o368, o369, o370) =AVERAGE(p366, p367, p368, p369, p370) =AVERAGE(q366, q367, q368, q369, q370) =AVERAGE(r366, r367, r368, r369, r370) =AVERAGE(s366, s367, s368, s369, s370) =AVERAGE(t366, t367, t368, t369, t370) =STDEV.P(a366, a367, a368, a369, a370) =STDEV.P(b366, b367, b368, b369, b370) =STDEV.P(c366, c367, c368, c369, c370) =STDEV.P(d366, d367, d368, d369, d370) =STDEV.P(e366, e367, e368, e369, e370) =STDEV.P(f366, f367, f368, f369, f370) =STDEV.P(g366, g367, g368, g369, g370) =STDEV.P(h366, h367, h368, h369, h370) =STDEV.P(i366, i367, i368, i369, i370) =STDEV.P(j366, j367, j368, j369, j370) =STDEV.P(k366, k367, k368, k369, k370) =STDEV.P(l366, l367, l368, l369, l370) =STDEV.P(m366, m367, m368, m369, m370) =STDEV.P(n366, n367, n368, n369, n370) =STDEV.P(o366, o367, o368, o369, o370) =STDEV.P(p366, p367, p368, p369, p370) =STDEV.P(q366, q367, q368, q369, q370) =STDEV.P(r366, r367, r368, r369, r370) =STDEV.P(s366, s367, s368, s369, s370) =STDEV.P(t366, t367, t368, t369, t370) +=AVERAGE(a371, a372, a373, a374, a375) =AVERAGE(b371, b372, b373, b374, b375) =AVERAGE(c371, c372, c373, c374, c375) =AVERAGE(d371, d372, d373, d374, d375) =AVERAGE(e371, e372, e373, e374, e375) =AVERAGE(f371, f372, f373, f374, f375) =AVERAGE(g371, g372, g373, g374, g375) =AVERAGE(h371, h372, h373, h374, h375) =AVERAGE(i371, i372, i373, i374, i375) =AVERAGE(j371, j372, j373, j374, j375) =AVERAGE(k371, k372, k373, k374, k375) =AVERAGE(l371, l372, l373, l374, l375) =AVERAGE(m371, m372, m373, m374, m375) =AVERAGE(n371, n372, n373, n374, n375) =AVERAGE(o371, o372, o373, o374, o375) =AVERAGE(p371, p372, p373, p374, p375) =AVERAGE(q371, q372, q373, q374, q375) =AVERAGE(r371, r372, r373, r374, r375) =AVERAGE(s371, s372, s373, s374, s375) =AVERAGE(t371, t372, t373, t374, t375) =STDEV.P(a371, a372, a373, a374, a375) =STDEV.P(b371, b372, b373, b374, b375) =STDEV.P(c371, c372, c373, c374, c375) =STDEV.P(d371, d372, d373, d374, d375) =STDEV.P(e371, e372, e373, e374, e375) =STDEV.P(f371, f372, f373, f374, f375) =STDEV.P(g371, g372, g373, g374, g375) =STDEV.P(h371, h372, h373, h374, h375) =STDEV.P(i371, i372, i373, i374, i375) =STDEV.P(j371, j372, j373, j374, j375) =STDEV.P(k371, k372, k373, k374, k375) =STDEV.P(l371, l372, l373, l374, l375) =STDEV.P(m371, m372, m373, m374, m375) =STDEV.P(n371, n372, n373, n374, n375) =STDEV.P(o371, o372, o373, o374, o375) =STDEV.P(p371, p372, p373, p374, p375) =STDEV.P(q371, q372, q373, q374, q375) =STDEV.P(r371, r372, r373, r374, r375) =STDEV.P(s371, s372, s373, s374, s375) =STDEV.P(t371, t372, t373, t374, t375) +=AVERAGE(a376, a377, a378, a379, a380) =AVERAGE(b376, b377, b378, b379, b380) =AVERAGE(c376, c377, c378, c379, c380) =AVERAGE(d376, d377, d378, d379, d380) =AVERAGE(e376, e377, e378, e379, e380) =AVERAGE(f376, f377, f378, f379, f380) =AVERAGE(g376, g377, g378, g379, g380) =AVERAGE(h376, h377, h378, h379, h380) =AVERAGE(i376, i377, i378, i379, i380) =AVERAGE(j376, j377, j378, j379, j380) =AVERAGE(k376, k377, k378, k379, k380) =AVERAGE(l376, l377, l378, l379, l380) =AVERAGE(m376, m377, m378, m379, m380) =AVERAGE(n376, n377, n378, n379, n380) =AVERAGE(o376, o377, o378, o379, o380) =AVERAGE(p376, p377, p378, p379, p380) =AVERAGE(q376, q377, q378, q379, q380) =AVERAGE(r376, r377, r378, r379, r380) =AVERAGE(s376, s377, s378, s379, s380) =AVERAGE(t376, t377, t378, t379, t380) =STDEV.P(a376, a377, a378, a379, a380) =STDEV.P(b376, b377, b378, b379, b380) =STDEV.P(c376, c377, c378, c379, c380) =STDEV.P(d376, d377, d378, d379, d380) =STDEV.P(e376, e377, e378, e379, e380) =STDEV.P(f376, f377, f378, f379, f380) =STDEV.P(g376, g377, g378, g379, g380) =STDEV.P(h376, h377, h378, h379, h380) =STDEV.P(i376, i377, i378, i379, i380) =STDEV.P(j376, j377, j378, j379, j380) =STDEV.P(k376, k377, k378, k379, k380) =STDEV.P(l376, l377, l378, l379, l380) =STDEV.P(m376, m377, m378, m379, m380) =STDEV.P(n376, n377, n378, n379, n380) =STDEV.P(o376, o377, o378, o379, o380) =STDEV.P(p376, p377, p378, p379, p380) =STDEV.P(q376, q377, q378, q379, q380) =STDEV.P(r376, r377, r378, r379, r380) =STDEV.P(s376, s377, s378, s379, s380) =STDEV.P(t376, t377, t378, t379, t380) +=AVERAGE(a381, a382, a383, a384, a385) =AVERAGE(b381, b382, b383, b384, b385) =AVERAGE(c381, c382, c383, c384, c385) =AVERAGE(d381, d382, d383, d384, d385) =AVERAGE(e381, e382, e383, e384, e385) =AVERAGE(f381, f382, f383, f384, f385) =AVERAGE(g381, g382, g383, g384, g385) =AVERAGE(h381, h382, h383, h384, h385) =AVERAGE(i381, i382, i383, i384, i385) =AVERAGE(j381, j382, j383, j384, j385) =AVERAGE(k381, k382, k383, k384, k385) =AVERAGE(l381, l382, l383, l384, l385) =AVERAGE(m381, m382, m383, m384, m385) =AVERAGE(n381, n382, n383, n384, n385) =AVERAGE(o381, o382, o383, o384, o385) =AVERAGE(p381, p382, p383, p384, p385) =AVERAGE(q381, q382, q383, q384, q385) =AVERAGE(r381, r382, r383, r384, r385) =AVERAGE(s381, s382, s383, s384, s385) =AVERAGE(t381, t382, t383, t384, t385) =STDEV.P(a381, a382, a383, a384, a385) =STDEV.P(b381, b382, b383, b384, b385) =STDEV.P(c381, c382, c383, c384, c385) =STDEV.P(d381, d382, d383, d384, d385) =STDEV.P(e381, e382, e383, e384, e385) =STDEV.P(f381, f382, f383, f384, f385) =STDEV.P(g381, g382, g383, g384, g385) =STDEV.P(h381, h382, h383, h384, h385) =STDEV.P(i381, i382, i383, i384, i385) =STDEV.P(j381, j382, j383, j384, j385) =STDEV.P(k381, k382, k383, k384, k385) =STDEV.P(l381, l382, l383, l384, l385) =STDEV.P(m381, m382, m383, m384, m385) =STDEV.P(n381, n382, n383, n384, n385) =STDEV.P(o381, o382, o383, o384, o385) =STDEV.P(p381, p382, p383, p384, p385) =STDEV.P(q381, q382, q383, q384, q385) =STDEV.P(r381, r382, r383, r384, r385) =STDEV.P(s381, s382, s383, s384, s385) =STDEV.P(t381, t382, t383, t384, t385) +=AVERAGE(a386, a387, a388, a389, a390) =AVERAGE(b386, b387, b388, b389, b390) =AVERAGE(c386, c387, c388, c389, c390) =AVERAGE(d386, d387, d388, d389, d390) =AVERAGE(e386, e387, e388, e389, e390) =AVERAGE(f386, f387, f388, f389, f390) =AVERAGE(g386, g387, g388, g389, g390) =AVERAGE(h386, h387, h388, h389, h390) =AVERAGE(i386, i387, i388, i389, i390) =AVERAGE(j386, j387, j388, j389, j390) =AVERAGE(k386, k387, k388, k389, k390) =AVERAGE(l386, l387, l388, l389, l390) =AVERAGE(m386, m387, m388, m389, m390) =AVERAGE(n386, n387, n388, n389, n390) =AVERAGE(o386, o387, o388, o389, o390) =AVERAGE(p386, p387, p388, p389, p390) =AVERAGE(q386, q387, q388, q389, q390) =AVERAGE(r386, r387, r388, r389, r390) =AVERAGE(s386, s387, s388, s389, s390) =AVERAGE(t386, t387, t388, t389, t390) =STDEV.P(a386, a387, a388, a389, a390) =STDEV.P(b386, b387, b388, b389, b390) =STDEV.P(c386, c387, c388, c389, c390) =STDEV.P(d386, d387, d388, d389, d390) =STDEV.P(e386, e387, e388, e389, e390) =STDEV.P(f386, f387, f388, f389, f390) =STDEV.P(g386, g387, g388, g389, g390) =STDEV.P(h386, h387, h388, h389, h390) =STDEV.P(i386, i387, i388, i389, i390) =STDEV.P(j386, j387, j388, j389, j390) =STDEV.P(k386, k387, k388, k389, k390) =STDEV.P(l386, l387, l388, l389, l390) =STDEV.P(m386, m387, m388, m389, m390) =STDEV.P(n386, n387, n388, n389, n390) =STDEV.P(o386, o387, o388, o389, o390) =STDEV.P(p386, p387, p388, p389, p390) =STDEV.P(q386, q387, q388, q389, q390) =STDEV.P(r386, r387, r388, r389, r390) =STDEV.P(s386, s387, s388, s389, s390) =STDEV.P(t386, t387, t388, t389, t390) +=AVERAGE(a391, a392, a393, a394) =AVERAGE(b391, b392, b393, b394) =AVERAGE(c391, c392, c393, c394) =AVERAGE(d391, d392, d393, d394) =AVERAGE(e391, e392, e393, e394) =AVERAGE(f391, f392, f393, f394) =AVERAGE(g391, g392, g393, g394) =AVERAGE(h391, h392, h393, h394) =AVERAGE(i391, i392, i393, i394) =AVERAGE(j391, j392, j393, j394) =AVERAGE(k391, k392, k393, k394) =AVERAGE(l391, l392, l393, l394) =AVERAGE(m391, m392, m393, m394) =AVERAGE(n391, n392, n393, n394) =AVERAGE(o391, o392, o393, o394) =AVERAGE(p391, p392, p393, p394) =AVERAGE(q391, q392, q393, q394) =AVERAGE(r391, r392, r393, r394) =AVERAGE(s391, s392, s393, s394) =AVERAGE(t391, t392, t393, t394) =STDEV.P(a391, a392, a393, a394) =STDEV.P(b391, b392, b393, b394) =STDEV.P(c391, c392, c393, c394) =STDEV.P(d391, d392, d393, d394) =STDEV.P(e391, e392, e393, e394) =STDEV.P(f391, f392, f393, f394) =STDEV.P(g391, g392, g393, g394) =STDEV.P(h391, h392, h393, h394) =STDEV.P(i391, i392, i393, i394) =STDEV.P(j391, j392, j393, j394) =STDEV.P(k391, k392, k393, k394) =STDEV.P(l391, l392, l393, l394) =STDEV.P(m391, m392, m393, m394) =STDEV.P(n391, n392, n393, n394) =STDEV.P(o391, o392, o393, o394) =STDEV.P(p391, p392, p393, p394) =STDEV.P(q391, q392, q393, q394) =STDEV.P(r391, r392, r393, r394) =STDEV.P(s391, s392, s393, s394) =STDEV.P(t391, t392, t393, t394) +=AVERAGE(a395, a396, a397, a398) =AVERAGE(b395, b396, b397, b398) =AVERAGE(c395, c396, c397, c398) =AVERAGE(d395, d396, d397, d398) =AVERAGE(e395, e396, e397, e398) =AVERAGE(f395, f396, f397, f398) =AVERAGE(g395, g396, g397, g398) =AVERAGE(h395, h396, h397, h398) =AVERAGE(i395, i396, i397, i398) =AVERAGE(j395, j396, j397, j398) =AVERAGE(k395, k396, k397, k398) =AVERAGE(l395, l396, l397, l398) =AVERAGE(m395, m396, m397, m398) =AVERAGE(n395, n396, n397, n398) =AVERAGE(o395, o396, o397, o398) =AVERAGE(p395, p396, p397, p398) =AVERAGE(q395, q396, q397, q398) =AVERAGE(r395, r396, r397, r398) =AVERAGE(s395, s396, s397, s398) =AVERAGE(t395, t396, t397, t398) =STDEV.P(a395, a396, a397, a398) =STDEV.P(b395, b396, b397, b398) =STDEV.P(c395, c396, c397, c398) =STDEV.P(d395, d396, d397, d398) =STDEV.P(e395, e396, e397, e398) =STDEV.P(f395, f396, f397, f398) =STDEV.P(g395, g396, g397, g398) =STDEV.P(h395, h396, h397, h398) =STDEV.P(i395, i396, i397, i398) =STDEV.P(j395, j396, j397, j398) =STDEV.P(k395, k396, k397, k398) =STDEV.P(l395, l396, l397, l398) =STDEV.P(m395, m396, m397, m398) =STDEV.P(n395, n396, n397, n398) =STDEV.P(o395, o396, o397, o398) =STDEV.P(p395, p396, p397, p398) =STDEV.P(q395, q396, q397, q398) =STDEV.P(r395, r396, r397, r398) =STDEV.P(s395, s396, s397, s398) =STDEV.P(t395, t396, t397, t398) +=AVERAGE(a399, a400, a401, a402) =AVERAGE(b399, b400, b401, b402) =AVERAGE(c399, c400, c401, c402) =AVERAGE(d399, d400, d401, d402) =AVERAGE(e399, e400, e401, e402) =AVERAGE(f399, f400, f401, f402) =AVERAGE(g399, g400, g401, g402) =AVERAGE(h399, h400, h401, h402) =AVERAGE(i399, i400, i401, i402) =AVERAGE(j399, j400, j401, j402) =AVERAGE(k399, k400, k401, k402) =AVERAGE(l399, l400, l401, l402) =AVERAGE(m399, m400, m401, m402) =AVERAGE(n399, n400, n401, n402) =AVERAGE(o399, o400, o401, o402) =AVERAGE(p399, p400, p401, p402) =AVERAGE(q399, q400, q401, q402) =AVERAGE(r399, r400, r401, r402) =AVERAGE(s399, s400, s401, s402) =AVERAGE(t399, t400, t401, t402) =STDEV.P(a399, a400, a401, a402) =STDEV.P(b399, b400, b401, b402) =STDEV.P(c399, c400, c401, c402) =STDEV.P(d399, d400, d401, d402) =STDEV.P(e399, e400, e401, e402) =STDEV.P(f399, f400, f401, f402) =STDEV.P(g399, g400, g401, g402) =STDEV.P(h399, h400, h401, h402) =STDEV.P(i399, i400, i401, i402) =STDEV.P(j399, j400, j401, j402) =STDEV.P(k399, k400, k401, k402) =STDEV.P(l399, l400, l401, l402) =STDEV.P(m399, m400, m401, m402) =STDEV.P(n399, n400, n401, n402) =STDEV.P(o399, o400, o401, o402) =STDEV.P(p399, p400, p401, p402) =STDEV.P(q399, q400, q401, q402) =STDEV.P(r399, r400, r401, r402) =STDEV.P(s399, s400, s401, s402) =STDEV.P(t399, t400, t401, t402) +=AVERAGE(a403, a404, a405, a406) =AVERAGE(b403, b404, b405, b406) =AVERAGE(c403, c404, c405, c406) =AVERAGE(d403, d404, d405, d406) =AVERAGE(e403, e404, e405, e406) =AVERAGE(f403, f404, f405, f406) =AVERAGE(g403, g404, g405, g406) =AVERAGE(h403, h404, h405, h406) =AVERAGE(i403, i404, i405, i406) =AVERAGE(j403, j404, j405, j406) =AVERAGE(k403, k404, k405, k406) =AVERAGE(l403, l404, l405, l406) =AVERAGE(m403, m404, m405, m406) =AVERAGE(n403, n404, n405, n406) =AVERAGE(o403, o404, o405, o406) =AVERAGE(p403, p404, p405, p406) =AVERAGE(q403, q404, q405, q406) =AVERAGE(r403, r404, r405, r406) =AVERAGE(s403, s404, s405, s406) =AVERAGE(t403, t404, t405, t406) =STDEV.P(a403, a404, a405, a406) =STDEV.P(b403, b404, b405, b406) =STDEV.P(c403, c404, c405, c406) =STDEV.P(d403, d404, d405, d406) =STDEV.P(e403, e404, e405, e406) =STDEV.P(f403, f404, f405, f406) =STDEV.P(g403, g404, g405, g406) =STDEV.P(h403, h404, h405, h406) =STDEV.P(i403, i404, i405, i406) =STDEV.P(j403, j404, j405, j406) =STDEV.P(k403, k404, k405, k406) =STDEV.P(l403, l404, l405, l406) =STDEV.P(m403, m404, m405, m406) =STDEV.P(n403, n404, n405, n406) =STDEV.P(o403, o404, o405, o406) =STDEV.P(p403, p404, p405, p406) =STDEV.P(q403, q404, q405, q406) =STDEV.P(r403, r404, r405, r406) =STDEV.P(s403, s404, s405, s406) =STDEV.P(t403, t404, t405, t406) +=AVERAGE(a407, a408, a409, a410) =AVERAGE(b407, b408, b409, b410) =AVERAGE(c407, c408, c409, c410) =AVERAGE(d407, d408, d409, d410) =AVERAGE(e407, e408, e409, e410) =AVERAGE(f407, f408, f409, f410) =AVERAGE(g407, g408, g409, g410) =AVERAGE(h407, h408, h409, h410) =AVERAGE(i407, i408, i409, i410) =AVERAGE(j407, j408, j409, j410) =AVERAGE(k407, k408, k409, k410) =AVERAGE(l407, l408, l409, l410) =AVERAGE(m407, m408, m409, m410) =AVERAGE(n407, n408, n409, n410) =AVERAGE(o407, o408, o409, o410) =AVERAGE(p407, p408, p409, p410) =AVERAGE(q407, q408, q409, q410) =AVERAGE(r407, r408, r409, r410) =AVERAGE(s407, s408, s409, s410) =AVERAGE(t407, t408, t409, t410) =STDEV.P(a407, a408, a409, a410) =STDEV.P(b407, b408, b409, b410) =STDEV.P(c407, c408, c409, c410) =STDEV.P(d407, d408, d409, d410) =STDEV.P(e407, e408, e409, e410) =STDEV.P(f407, f408, f409, f410) =STDEV.P(g407, g408, g409, g410) =STDEV.P(h407, h408, h409, h410) =STDEV.P(i407, i408, i409, i410) =STDEV.P(j407, j408, j409, j410) =STDEV.P(k407, k408, k409, k410) =STDEV.P(l407, l408, l409, l410) =STDEV.P(m407, m408, m409, m410) =STDEV.P(n407, n408, n409, n410) =STDEV.P(o407, o408, o409, o410) =STDEV.P(p407, p408, p409, p410) =STDEV.P(q407, q408, q409, q410) =STDEV.P(r407, r408, r409, r410) =STDEV.P(s407, s408, s409, s410) =STDEV.P(t407, t408, t409, t410) + +0 0 0 0.0001 0 12.869 3.638 17 4 17 6 0 0.0001 0 12.869 3.638 17 4 17 6 +0 0 0 0.0001 0 12.884 3.639 7 3 15 4 0 0.0001 0 12.884 3.639 7 3 15 4 +0 0 0 0.0001 0 13.175 3.694 5 2 46 6 0 0.0001 0 13.175 3.694 5 2 46 6 +0 0 0 0.0001 0 12.975 3.669 14 3 32 5 0 0.0001 0 12.975 3.669 14 3 32 5 +0 0 0 0.0001 0 12.891 3.639 21 4 10 5 0 0.0001 0 12.891 3.639 21 4 10 5 +0 0 0 0.0001 0 12.913 3.682 8 3 9 4 0 0.0001 0 12.913 3.682 8 3 9 4 +0 0 0 0.0001 0 12.914 3.654 22 6 41 6 0 0.0001 0 12.914 3.654 22 6 41 6 +0 0 0 0.0001 0 13.01 3.668 7 4 18 5 0 0.0001 0 13.01 3.668 7 4 18 5 +0 0 0 0.0001 0 13.19 3.688 30 6 36 6 0 0.0001 0 13.19 3.688 30 6 36 6 +0 0 0 0.0002 0 13.002 3.684 12 6 8 3 0 0.0002 0 13.002 3.684 12 6 8 3 +1 0 0 0.0001 0 12.442 3.878 17 4 21 9 0 0.0001 0 12.655 3.758 17 4 17 6 +1 0 0 0.0001 0 11.964 3.784 7 3 5 3 0 0.0001 0 12.424 3.711 7 3 15 4 +1 0 0 0.0001 0 12.259 3.852 5 2 4 2 0 0.0001 0 12.717 3.773 5 2 46 6 +1 0 0 0.0001 0 12.263 3.852 7 2 18 8 0 0.0001 0 12.619 3.76 7 2 18 8 +1 0 0 0.0001 0 12.27 3.861 13 6 5 3 0 0.0001 0 12.58 3.75 13 6 10 5 +1 0 0 0.0001 0 12.281 3.897 8 3 12 5 0 0.0001 0 12.597 3.79 8 3 9 4 +1 0 0 0.0001 0 12.03 3.802 22 6 31 6 0 0.0001 0 12.472 3.728 22 6 41 6 +1 0 0 0.0001 0 12.571 3.904 7 4 27 7 0 0.0001 0 12.791 3.786 7 4 27 7 +1 0 0 0.0001 0 12.478 3.919 30 6 11 4 0 0.0001 0 12.834 3.803 30 6 36 6 +1 0 0 0.0004 0 12.407 3.877 18 9 39 8 0 0.0004 0 12.704 3.78 18 9 39 8 +2 0 0 0.0001 0 12.755 4.078 17 4 15 7 0 0.0001 0 12.689 3.864 17 4 17 6 +2 0 0 0.0001 0 11.691 3.847 7 3 29 8 0 0.0001 0 12.18 3.757 7 3 15 4 +2 0 0 0.0001 0 12.419 4.006 12 5 5 3 0 0.0001 0 12.618 3.851 12 5 46 6 +2 0 0 0.0001 0 12.387 4.023 20 7 4 2 0 0.0001 0 12.541 3.848 20 7 4 2 +2 0 0 0.0002 0 12.414 4.013 20 10 13 5 0 0.0002 0 12.525 3.838 20 10 10 5 +2 0 0 0.0001 0 11.966 4.022 8 3 11 5 0 0.0001 0 12.386 3.867 8 3 9 4 +2 0 0 0.0001 0 11.89 3.937 29 6 35 13 0 0.0001 0 12.278 3.798 29 6 41 6 +2 0 0 0.0001 0 12.588 4.116 17 5 16 7 0 0.0001 0 12.723 3.896 17 5 27 7 +2 0 0 0.0001 0 12.503 4.038 48 7 11 6 0 0.0001 0 12.723 3.882 48 7 36 6 +2 0 0 0.0004 0 12.188 4.034 18 9 7 5 0 0.0004 0 12.532 3.865 18 9 39 8 +3 0 0 0.0001 0 12.782 4.257 12 4 18 6 0 0.0001 0 12.712 3.962 12 4 17 6 +3 0 0 0.0004 0 11.724 3.993 11 4 12 4 0 0.0004 0 12.066 3.816 11 4 15 4 +3 0 0 0.0001 0 12.632 4.161 12 5 7 5 0 0.0001 0 12.621 3.928 12 5 46 6 +3 0 0 0.0001 0 12.618 4.195 20 7 50 9 0 0.0001 0 12.561 3.935 20 7 4 2 +3 0 0 0.0002 0 12.451 4.152 20 10 39 9 0 0.0002 0 12.506 3.916 20 10 10 5 +3 0 0 0.0001 0 11.982 4.139 8 3 7 4 0 0.0001 0 12.285 3.935 8 3 9 4 +3 0 0 0.0001 0 11.795 4.039 25 8 6 5 0 0.0001 0 12.157 3.858 25 8 41 6 +3 0 0 0.0001 0 12.558 4.251 17 5 5 3 0 0.0001 0 12.682 3.985 17 5 27 7 +3 0 0 0.0001 0 12.316 4.114 43 7 27 8 0 0.0001 0 12.622 3.94 43 7 36 6 +3 0 0 0.0004 0 12.267 4.185 29 12 13 8 0 0.0004 0 12.466 3.945 29 12 39 8 +4 0 0 0.0001 0 13.148 4.42 23 6 13 6 0 0.0001 0 12.799 4.054 23 6 17 6 +4 0 0 0.0004 0 11.564 4.029 11 4 23 6 0 0.0004 0 11.965 3.858 11 4 15 4 +4 0 0 0.0001 0 12.901 4.299 35 7 15 7 0 0.0001 0 12.677 4.002 35 7 46 6 +4 0 0 0.0001 0 12.953 4.365 22 5 16 5 0 0.0001 0 12.639 4.021 22 5 4 2 +4 0 0 0.0002 0 12.468 4.233 20 10 5 3 0 0.0002 0 12.499 3.98 20 10 10 5 +4 0 0 0.0001 0 11.83 4.186 24 4 8 4 0 0.0001 0 12.194 3.985 24 4 8 4 +4 0 0 0.0003 0 11.679 4.136 29 6 4 3 0 0.0003 0 12.062 3.914 29 6 41 6 +4 0 0 0.0001 0 12.761 4.375 27 10 24 8 0 0.0001 0 12.698 4.063 27 10 27 7 +4 0 0 0.0001 0 12.629 4.291 52 7 7 4 0 0.0001 0 12.623 4.01 52 7 36 6 +4 0 0 0.0004 0 12.561 4.384 29 12 35 7 0 0.0004 0 12.485 4.033 29 12 39 8 +5 0 0 0.0001 0 13.307 4.537 23 6 7 4 0 0.0001 0 12.884 4.134 23 6 17 6 +5 0 0 0.0005 0 11.769 4.137 13 4 7 5 0 0.0005 0 11.933 3.905 13 4 15 4 +5 0 0 0.0001 0 13.087 4.397 46 6 12 5 0 0.0001 0 12.746 4.068 46 6 46 6 +5 0 0 0.0001 0 13.505 4.555 22 5 5 3 0 0.0001 0 12.783 4.11 22 5 4 2 +5 0 0 0.0003 0 12.474 4.337 22 11 27 9 0 0.0003 0 12.495 4.039 22 11 10 5 +5 0 0 0.0002 0 11.875 4.299 11 5 8 4 0 0.0002 0 12.141 4.037 11 5 8 4 +5 0 0 0.0003 0 11.926 4.283 29 6 34 9 0 0.0003 0 12.039 3.975 29 6 41 6 +5 0 0 0.0001 0 12.688 4.44 27 10 13 7 0 0.0001 0 12.696 4.126 27 10 27 7 +5 0 0 0.0001 0 12.753 4.425 52 7 15 4 0 0.0001 0 12.645 4.079 52 7 15 4 +5 0 0 0.0007 0 12.786 4.657 34 15 26 13 0 0.0007 0 12.535 4.137 34 15 39 8 +6 0 0 0.0001 0 13.787 4.711 23 6 30 8 0 0.0001 0 13.013 4.217 23 6 17 6 +6 0 0 0.0005 0 12.078 4.248 13 4 17 5 0 0.0005 0 11.954 3.954 13 4 15 4 +6 0 0 0.0001 0 13.819 4.596 46 7 4 2 0 0.0001 0 12.899 4.144 46 7 46 6 +6 0 0 0.0002 0 13.373 4.56 18 5 8 3 0 0.0002 0 12.868 4.174 18 5 4 2 +6 0 0 0.0003 0 12.518 4.459 19 10 16 6 0 0.0003 0 12.498 4.099 19 10 10 5 +6 0 0 0.0002 0 12.058 4.372 11 5 18 8 0 0.0002 0 12.129 4.085 11 5 8 4 +6 0 0 0.0003 0 11.879 4.299 29 6 15 5 0 0.0003 0 12.016 4.022 29 6 41 6 +6 0 0 0.0001 0 12.975 4.572 27 10 11 7 0 0.0001 0 12.736 4.189 27 10 27 7 +6 0 0 0.0001 0 13.383 4.603 49 7 34 10 0 0.0001 0 12.75 4.154 49 7 15 4 +6 0 0.0001 0.0012 0 14.257 5.452 13 3 22 9 0 0.0012 0 12.781 4.325 13 3 39 8 +7 0 0 0.0001 0 13.878 4.758 23 6 7 5 0 0.0001 0 13.121 4.284 23 6 17 6 +7 0 0 0.0005 0 12.375 4.379 9 4 6 5 0 0.0005 0 12.006 4.007 9 4 15 4 +7 0 0 0.0003 0 14.758 4.732 21 8 11 6 0 0.0003 0 13.131 4.217 21 8 46 6 +7 0 0 0.0002 0 13.903 4.695 18 5 27 8 0 0.0002 0 12.997 4.239 18 5 4 2 +7 0 0 0.0004 0 12.534 4.589 20 10 5 3 0 0.0004 0 12.502 4.16 20 10 10 5 +7 0 0 0.0002 0 12.272 4.469 11 5 12 4 0 0.0002 0 12.147 4.133 11 5 8 4 +7 0 0 0.0003 0 12.355 4.455 29 6 43 12 0 0.0003 0 12.059 4.076 29 6 41 6 +7 0 0 0.0002 0 13.472 4.729 24 9 10 4 0 0.0002 0 12.828 4.257 24 9 27 7 +7 0 0 0.0002 0 14.394 4.812 44 9 9 5 0 0.0002 0 12.956 4.236 44 9 15 4 +7 0 0.0001 0.0014 0 17.072 6.877 46 15 8 4 0 0.0014 0 13.317 4.644 46 15 39 8 +8 0 0 0.0002 0 14.323 4.889 20 6 7 5 0 0.0002 0 13.255 4.352 20 6 17 6 +8 0 0 0.001 0 12.389 4.436 13 5 11 6 0 0.001 0 12.049 4.055 13 5 15 4 +8 0 0 0.0003 0 16.837 5.009 21 8 36 7 0 0.0003 0 13.543 4.305 21 8 46 6 +8 0 0 0.0003 0 14.367 4.824 29 10 28 7 0 0.0003 0 13.149 4.304 29 10 4 2 +8 0 0 0.0006 0 12.935 4.801 9 3 31 9 0 0.0006 0 12.551 4.232 9 3 10 5 +8 0 0 0.0002 0 12.275 4.49 11 5 10 5 0 0.0002 0 12.161 4.173 11 5 8 4 +8 0 0 0.0003 0 12.866 4.569 29 6 10 7 0 0.0003 0 12.148 4.131 29 6 41 6 +8 0 0 0.0002 0 13.966 4.879 24 9 16 5 0 0.0002 0 12.954 4.326 24 9 27 7 +8 0 0 0.0003 0 15.586 5.009 32 7 24 7 0 0.0003 0 13.248 4.322 32 7 15 4 +8 0 0.0001 0.0027 0 20.979 8.644 18 8 12 7 0.0001 0.0027 0 14.169 5.088 18 8 39 8 +9 0 0 0.0002 0 14.992 5.074 20 6 5 3 0 0.0002 0 13.428 4.424 20 6 17 6 +9 0 0 0.0019 0 12.695 4.583 14 5 34 16 0 0.0019 0 12.113 4.107 14 5 15 4 +9 0 0 0.0003 0 19.508 5.398 21 8 16 7 0 0.0003 0 14.14 4.414 21 8 46 6 +9 0 0 0.0005 0 15.177 5.031 24 9 33 8 0 0.0005 0 13.352 4.377 24 9 4 2 +9 0 0 0.0006 0 13.875 5.224 9 3 33 9 0 0.0006 0 12.683 4.331 9 3 10 5 +9 0 0 0.0009 0 12.429 4.556 14 5 10 5 0 0.0009 0 12.188 4.211 14 5 8 4 +9 0 0 0.0004 0 14.282 4.847 33 9 43 8 0 0.0004 0 12.362 4.202 33 9 41 6 +9 0 0 0.0002 0 14.687 5.001 24 9 34 12 0 0.0002 0 13.128 4.394 24 9 27 7 +9 0 0 0.0003 0 18.227 5.411 32 7 53 12 0 0.0003 0 13.746 4.431 32 7 15 4 +9 0 0.0002 0.0033 0 25.001 10.205 28 14 53 15 0.0001 0.0033 0 15.252 5.6 28 14 39 8 +10 0 0 0.0002 0 15.738 5.234 19 8 9 5 0 0.0002 0 13.638 4.497 19 8 17 6 +10 0 0.0001 0.0186 0 13.84 5.005 17 6 21 7 0 0.0186 0 12.27 4.189 17 6 15 4 +10 0 0 0.0003 0 23.275 5.917 21 8 105 13 0 0.0003 0 14.97 4.551 21 8 46 6 +10 0 0 0.0007 0 16.342 5.294 29 9 16 5 0 0.0007 0 13.624 4.46 29 9 4 2 +10 0 0.0001 0.0006 0 15.208 5.806 9 3 12 5 0 0.0006 0 12.913 4.465 9 3 10 5 +10 0 0 0.0014 0 12.589 4.62 14 5 6 5 0 0.0014 0 12.224 4.248 14 5 8 4 +10 0 0 0.0004 0 16.842 5.342 24 6 28 8 0 0.0004 0 12.769 4.306 24 6 41 6 +10 0 0 0.0002 0 15.994 5.256 20 9 20 7 0 0.0002 0 13.388 4.472 20 9 27 7 +10 0 0.0001 0.0003 0 23.616 6.256 58 10 66 12 0 0.0003 0 14.643 4.597 58 10 15 4 +10 0 0.0002 0.0033 0 27.865 11.027 28 14 61 15 0.0001 0.0033 0 16.398 6.093 28 14 39 8 +11 0 0 0.0002 0 16.802 5.452 19 8 6 4 0 0.0002 0 13.902 4.577 19 8 17 6 +11 0 0.0002 0.0186 0 16.321 5.943 17 6 33 15 0 0.0186 0 12.608 4.335 17 6 15 4 +11 0 0.0001 0.0003 0 28.23 6.574 21 8 28 8 0 0.0003 0 16.075 4.719 21 8 46 6 +11 0 0 0.0008 0 18.186 5.782 33 8 16 4 0 0.0008 0 14.004 4.57 33 8 4 2 +11 0 0.0001 0.0007 0 17.776 7.021 63 10 28 12 0 0.0007 0 13.318 4.678 63 10 10 5 +11 0 0 0.0016 0 12.717 4.672 15 6 21 9 0 0.0016 0 12.265 4.284 15 6 8 4 +11 0 0.0001 0.0004 0 20.952 6.036 24 6 64 14 0 0.0004 0 13.451 4.45 24 6 41 6 +11 0 0 0.0002 0 17.983 5.633 20 9 41 10 0 0.0002 0 13.771 4.569 20 9 27 7 +11 0 0.0001 0.0003 0 30.448 7.257 63 12 84 12 0 0.0003 0 15.96 4.819 63 12 15 4 +11 0 0.0003 0.0033 0 29.799 11.455 28 14 36 11 0.0001 0.0033 0 17.515 6.54 28 14 39 8 +12 0 0 0.0002 0 19.122 5.851 19 8 6 4 0 0.0002 0 14.303 4.675 19 8 17 6 +12 0 0.001 1 0 18.967 6.738 17 5 35 14 0.0001 1 0 13.097 4.52 17 5 15 4 +12 0 0.0001 0.0004 0 33.755 7.244 20 7 57 10 0 0.0004 0 17.435 4.914 20 7 46 6 +12 0 0.0001 0.0008 0 21.566 6.615 34 8 28 8 0 0.0008 0 14.586 4.728 34 8 4 2 +12 0 0.0001 0.0007 0 21.162 8.47 65 10 21 12 0.0001 0.0007 0 13.921 4.97 65 10 10 5 +12 0 0.0001 0.0022 0 13.491 4.902 25 8 22 10 0 0.0022 0 12.36 4.331 25 8 8 4 +12 0 0.0001 0.0005 0 26.517 6.946 32 7 85 14 0 0.0005 0 14.456 4.642 32 7 41 6 +12 0 0 0.0002 0 20.907 6.196 20 9 45 8 0 0.0002 0 14.32 4.694 20 9 27 7 +12 0 0.0001 0.0003 0 38.07 8.365 63 12 59 11 0 0.0003 0 17.661 5.091 63 12 15 4 +12 0 0.0004 0.0042 0 31.284 11.685 27 14 62 17 0.0001 0.0042 0 18.574 6.936 27 14 39 8 +13 0 0 0.0003 0 21.525 6.27 40 15 24 10 0 0.0003 0 14.819 4.789 40 15 17 6 +13 0 0.0001 0.0004 0 40.695 8.07 20 7 120 17 0 0.0004 0 19.097 5.139 20 7 46 6 +13 0 0.0001 0.0125 0 25.833 7.689 20 6 41 12 0 0.0125 0 15.389 4.939 20 6 4 2 +13 0 0.0001 0.0012 0 24.691 9.847 63 10 8 5 0.0001 0.0012 0 14.691 5.318 63 10 10 5 +13 0 0.0001 0.0035 0 15.323 5.468 29 9 18 8 0.0001 0.0035 0 12.571 4.412 29 9 8 4 +13 0 0.0001 0.0005 0 32.744 7.963 32 7 34 9 0 0.0005 0 15.762 4.879 32 7 41 6 +13 0 0 0.0002 0 24.03 6.761 39 14 20 6 0 0.0002 0 15.014 4.841 39 14 27 7 +13 0 0.0001 0.0003 0 44.328 9.252 36 9 62 12 0 0.0003 0 19.566 5.389 36 9 15 4 +13 0 0.0004 0.0067 0 32.661 11.941 49 17 58 16 0.0001 0.0067 0 19.58 7.293 49 17 39 8 +14 0 0 0.0007 0 23.704 6.661 18 7 5 3 0 0.0007 0 15.412 4.914 18 7 17 6 +14 0 0.0001 0.0004 0 46.711 8.743 20 7 53 9 0 0.0004 0 20.937 5.379 20 7 46 6 +14 0 0.0002 0.0963 0 29.8 8.699 26 8 41 15 0.0001 0.0963 0 16.35 5.19 26 8 4 2 +14 0 0.0002 0.0012 0 27.83 10.861 63 10 6 4 0.0001 0.0012 0 15.567 5.688 63 10 10 5 +14 0 0.0003 0.0041 0 19.399 6.738 28 10 34 14 0.0001 0.0041 0 13.027 4.567 28 10 8 4 +14 0 0.0001 0.0005 0 38.389 8.843 32 7 38 10 0 0.0005 0 17.271 5.143 32 7 41 6 +14 0 0 0.0003 0 27.59 7.376 54 14 34 8 0 0.0003 0 15.852 5.01 54 14 27 7 +14 0 0.0001 0.0003 0 48.578 9.802 43 8 47 11 0.0001 0.0003 0 21.5 5.683 43 8 15 4 +14 0 0.0006 0.0076 0 33.971 12.124 26 13 8 5 0.0002 0.0076 0 20.54 7.615 26 13 39 8 +15 0 0 0.0011 0 26.833 7.192 19 9 12 9 0 0.0011 0 16.125 5.056 19 9 17 6 +15 0 0.0001 0.0004 0 51.521 9.352 20 7 38 7 0 0.0004 0 22.849 5.628 20 7 46 6 +15 0 0.0008 0.0971 0 31.817 9.093 28 9 60 14 0.0001 0.0971 0 17.317 5.434 28 9 4 2 +15 0 0.0002 0.0019 0 30.382 11.29 64 11 10 5 0.0001 0.0019 0 16.492 6.038 64 11 10 5 +15 0 0.0004 0.0119 0 24.105 8.144 20 7 36 8 0.0001 0.0119 0 13.719 4.791 20 7 8 4 +15 0 0.0001 0.0005 0 43.024 9.51 32 7 70 15 0.0001 0.0005 0 18.88 5.416 32 7 41 6 +15 0 0.0001 0.0003 0 31.106 7.987 54 14 72 12 0 0.0003 0 16.805 5.196 54 14 27 7 +15 0 0.0001 0.0003 0 51.66 10.231 69 11 48 14 0.0001 0.0003 0 23.385 5.967 69 11 15 4 +15 0 0.0008 0.0131 0 34.668 12.207 29 11 46 16 0.0002 0.0131 0 21.423 7.902 29 11 39 8 +16 0 0.0001 0.0018 0 29.79 7.703 13 4 44 10 0 0.0018 0 16.929 5.212 13 4 17 6 +16 0 0.0001 0.0004 0 56.27 9.836 20 7 116 17 0.0001 0.0004 0 24.815 5.875 20 7 46 6 +16 0 0.0041 0.1263 0 28.701 8.182 26 7 79 14 0.0003 0.1263 0 17.986 5.596 26 7 4 2 +16 0 0.0002 0.0019 0 33.759 11.507 64 11 26 14 0.0001 0.0019 0 17.508 6.36 64 11 10 5 +16 0 0.0005 0.0119 0 28.511 9.345 20 7 22 9 0.0001 0.0119 0 14.589 5.059 20 7 8 4 +16 0 0.0001 0.0005 0 47.519 10.155 56 12 73 15 0.0001 0.0005 0 20.565 5.695 56 12 41 6 +16 0 0.0001 0.0003 0 34.457 8.531 55 14 45 12 0 0.0003 0 17.844 5.393 55 14 27 7 +16 0 0.0001 0.0004 0 54.293 10.528 30 7 54 12 0.0001 0.0004 0 25.203 6.235 30 7 15 4 +16 0 0.0012 0.1959 0 36.356 12.485 36 17 53 12 0.0003 0.1959 0 22.301 8.172 36 17 39 8 +17 0 0.0001 0.0019 0 32.398 8.194 20 9 34 7 0 0.0019 0 17.789 5.377 20 9 17 6 +17 0 0.0001 0.0004 0 60.545 10.296 20 7 85 17 0.0001 0.0004 0 26.8 6.121 20 7 46 6 +17 0 0.0085 0.1931 0 27.73 7.925 21 6 32 9 0.0008 0.1931 0 18.528 5.725 21 6 4 2 +17 0 0.0003 0.0025 0 40.465 11.638 63 11 26 8 0.0001 0.0025 0 18.784 6.653 63 11 10 5 +17 0 0.0007 0.0119 0 31.977 10.183 20 7 41 17 0.0001 0.0119 0 15.555 5.344 20 7 8 4 +17 0 0.0001 0.0005 0 51.717 10.731 56 12 75 14 0.0001 0.0005 0 22.296 5.975 56 12 41 6 +17 0 0.0001 0.0003 0 37.336 9.021 55 14 55 17 0 0.0003 0 18.927 5.594 55 14 27 7 +17 0 0.0001 0.0004 0 56.568 10.845 30 7 129 17 0.0001 0.0004 0 26.945 6.491 30 7 15 4 +17 0 0.0044 1 0 37.081 12.69 27 7 32 15 0.0005 1 0 23.122 8.423 27 7 39 8 +18 0 0.0001 0.0019 0 34.9 8.68 20 9 14 7 0 0.0019 0 18.689 5.551 20 9 17 6 +18 0 0.0001 0.0004 0 64.7 10.663 20 7 111 14 0.0001 0.0004 0 28.795 6.36 20 7 46 6 +18 0 0.0108 0.3187 0 29.903 8.126 49 14 33 10 0.0013 0.3187 0 19.126 5.851 49 14 4 2 +18 0 0.0004 0.0028 0 51.25 11.901 73 17 21 9 0.0001 0.0028 0 20.492 6.929 73 17 10 5 +18 0 0.0008 0.0121 0 34.62 10.775 26 9 19 7 0.0002 0.0121 0 16.558 5.629 26 9 8 4 +18 0 0.0001 0.0005 0 54.898 11.152 53 12 59 11 0.0001 0.0005 0 24.011 6.247 53 12 41 6 +18 0 0.0001 0.0003 0 40.317 9.555 54 15 67 13 0 0.0003 0 20.052 5.803 54 15 27 7 +18 0 0.0001 0.0004 0 58.188 11.103 30 7 55 14 0.0001 0.0004 0 28.59 6.734 30 7 15 4 +19 0 0.0002 0.0135 0 35.697 9.283 19 4 65 15 0 0.0135 0 19.54 5.738 19 4 17 6 +19 0 0.0001 0.0004 0 68.107 11.016 20 7 106 13 0.0001 0.0004 0 30.76 6.593 20 7 46 6 +19 0 0.0249 0.4141 0 40.3 9.088 66 16 34 9 0.0025 0.4141 0 20.185 6.013 66 16 4 2 +19 0 0.0006 0.0033 0 62.092 12.122 84 13 15 8 0.0001 0.0033 0 22.572 7.189 84 13 10 5 +19 0 0.0011 0.0121 0 37.684 11.388 26 9 14 6 0.0002 0.0121 0 17.615 5.917 26 9 8 4 +19 0 0.0002 0.0005 0 57.872 11.555 53 12 50 13 0.0001 0.0005 0 25.704 6.513 53 12 41 6 +19 0 0.0001 0.0003 0 42.753 10.106 54 15 37 12 0 0.0003 0 21.187 6.018 54 15 27 7 +19 0 0.0001 0.0004 0 60.616 11.456 30 7 95 12 0.0001 0.0004 0 30.191 6.97 30 7 15 4 +20 0 0.0004 0.0135 0 31.74 9.711 19 4 48 15 0.0001 0.0135 0 20.121 5.927 19 4 17 6 +20 0 0.0001 0.0004 0 71.811 11.314 20 7 148 15 0.0001 0.0004 0 32.715 6.818 20 7 46 6 +20 0 0.0515 0.5747 0 57.849 10.842 37 10 44 12 0.0048 0.5747 0 21.978 6.243 37 10 4 2 +20 0 0.0007 0.0033 0 68.479 12.459 90 15 99 14 0.0002 0.0033 0 24.758 7.44 90 15 10 5 +20 0 0.0015 0.0162 0 40.053 11.94 55 17 25 10 0.0003 0.0162 0 18.683 6.204 55 17 8 4 +20 0 0.0002 0.0006 0 60.608 11.817 68 14 65 12 0.0001 0.0006 0 27.367 6.765 68 14 41 6 +20 0 0.0001 0.0003 0 46.432 10.802 74 15 38 13 0 0.0003 0 22.39 6.246 74 15 27 7 +20 0 0.0002 0.0004 0 62.77 11.699 30 7 98 16 0.0001 0.0004 0 31.742 7.195 30 7 15 4 +21 0 0.0008 0.0228 0 28.745 10.098 22 7 98 17 0.0001 0.0228 0 20.513 6.117 22 7 17 6 +21 0 0.0001 0.0004 0 75.94 11.687 64 9 80 13 0.0001 0.0004 0 34.68 7.039 64 9 46 6 +21 0 0.0008 0.0037 0 72.169 12.678 87 13 103 16 0.0002 0.0037 0 26.913 7.678 87 13 10 5 +21 0 0.0022 0.0204 0 42.356 12.389 40 13 72 17 0.0004 0.0204 0 19.759 6.485 40 13 8 4 +21 0 0.0002 0.0006 0 63.663 12.088 68 14 94 17 0.0001 0.0006 0 29.016 7.007 68 14 41 6 +21 0 0.0001 0.0003 0 49.861 11.568 74 15 33 13 0 0.0003 0 23.638 6.488 74 15 27 7 +21 0 0.0002 0.0004 0 64.649 11.867 79 14 85 17 0.0001 0.0004 0 33.238 7.408 79 14 15 4 +22 0 0.0012 1 0 30.491 10.678 19 4 47 12 0.0001 1 0 20.946 6.315 19 4 17 6 +22 0 0.0001 0.0004 0 80.505 12.003 64 9 105 16 0.0001 0.0004 0 36.672 7.255 64 9 46 6 +22 0 0.0009 0.0038 0 74.3 12.795 73 11 66 15 0.0002 0.0038 0 28.974 7.9 73 11 10 5 +22 0 0.0033 0.0361 0 44.594 12.784 34 13 25 9 0.0005 0.0361 0 20.839 6.759 34 13 8 4 +22 0 0.0002 0.0007 0 66.347 12.369 65 14 78 15 0.0001 0.0007 0 30.639 7.24 65 14 41 6 +22 0 0.0001 0.0003 0 52.112 12.335 74 15 25 9 0 0.0003 0 24.876 6.742 74 15 27 7 +22 0 0.0002 0.0004 0 66.766 12.05 82 14 126 17 0.0001 0.0004 0 34.696 7.61 82 14 15 4 +23 0 0.0001 0.0005 0 84.342 12.209 90 10 88 14 0.0001 0.0005 0 38.658 7.461 90 10 46 6 +23 0 0.001 0.0044 0 75.874 12.964 74 12 90 16 0.0003 0.0044 0 30.928 8.111 74 12 10 5 +23 0 0.0044 0.0361 0 46.127 13.095 34 13 57 14 0.0007 0.0361 0 21.893 7.023 34 13 8 4 +23 0 0.0002 0.0008 0 68.637 12.575 65 14 82 12 0.0001 0.0008 0 32.223 7.463 65 14 41 6 +23 0 0.0001 0.0003 0 53.785 12.938 66 17 10 6 0.0001 0.0003 0 26.081 7 66 17 27 7 +23 0 0.0002 0.0004 0 69.181 12.276 126 15 90 17 0.0001 0.0004 0 36.133 7.804 126 15 15 4 +24 0 0.0001 0.0005 0 89.747 12.54 93 10 101 13 0.0001 0.0005 0 40.702 7.664 93 10 46 6 +24 0 0.0011 0.0044 0 77.064 13.032 74 12 106 16 0.0003 0.0044 0 32.773 8.308 74 12 10 5 +24 0 0.0052 0.0567 0 46.795 13.112 41 14 49 15 0.0008 0.0567 0 22.889 7.267 41 14 8 4 +24 0 0.0002 0.0008 0 70.341 12.674 65 14 70 11 0.0001 0.0008 0 33.747 7.671 65 14 41 6 +24 0 0.0001 0.0003 0 55.382 13.401 67 15 61 16 0.0001 0.0003 0 27.253 7.256 67 15 27 7 +24 0 0.0002 0.0004 0 72.083 12.465 106 15 47 13 0.0001 0.0004 0 37.571 7.991 106 15 15 4 +25 0 0.0002 0.0005 0 92.274 12.691 93 10 75 15 0.0001 0.0005 0 42.686 7.858 93 10 46 6 +25 0 0.0012 0.0072 0 78.686 13.173 96 14 90 15 0.0003 0.0072 0 34.539 8.495 96 14 10 5 +25 0 0.0059 0.0567 0 47.127 13.056 41 14 64 17 0.001 0.0567 0 23.821 7.489 41 14 8 4 +25 0 0.0002 0.0008 0 73.223 12.904 76 16 80 17 0.0001 0.0008 0 35.266 7.872 76 16 41 6 +25 0 0.0001 0.0003 0 57.032 13.727 67 15 30 11 0.0001 0.0003 0 28.398 7.505 67 15 27 7 +25 0 0.0002 0.0004 0 74.987 12.641 106 15 174 17 0.0001 0.0004 0 39.01 8.169 106 15 15 4 +26 0 0.0002 0.0005 0 93.95 12.764 82 10 108 17 0.0001 0.0005 0 44.584 8.039 82 10 46 6 +26 0 0.0013 0.0086 0 80.362 13.298 94 14 59 16 0.0004 0.0086 0 36.236 8.673 94 14 10 5 +26 0 0.0067 0.0567 0 47.865 13.121 41 14 41 14 0.0012 0.0567 0 24.712 7.698 41 14 8 4 +26 0 0.0002 0.0008 0 75.009 13.028 76 16 153 16 0.0001 0.0008 0 36.738 8.063 76 16 41 6 +26 0 0.0002 0.0004 0 59.138 14.121 74 16 26 7 0.0001 0.0004 0 29.537 7.75 74 16 27 7 +26 0 0.0002 0.0004 0 77.557 12.819 126 15 97 13 0.0001 0.0004 0 40.438 8.342 126 15 15 4 +27 0 0.0002 0.0005 0 97.417 12.984 82 10 159 17 0.0001 0.0005 0 46.471 8.216 82 10 46 6 +27 0 0.0015 0.009 0 81.949 13.371 106 14 74 14 0.0004 0.009 0 37.869 8.841 106 14 10 5 +27 0 0.0075 0.0582 0 48.209 13.15 38 14 15 5 0.0015 0.0582 0 25.551 7.893 38 14 8 4 +27 0 0.0002 0.001 0 76.116 13.156 67 14 80 15 0.0001 0.001 0 38.144 8.245 67 14 41 6 +27 0 0.0002 0.0004 0 59.802 14.152 74 16 83 17 0.0001 0.0004 0 30.618 7.979 74 16 27 7 +27 0 0.0002 0.0004 0 79.204 12.841 83 14 91 14 0.0001 0.0004 0 41.822 8.502 83 14 15 4 +28 0 0.0002 0.0006 0 100.797 13.157 80 10 129 16 0.0001 0.0006 0 48.344 8.386 80 10 46 6 +28 0 0.0016 0.0098 0 83.558 13.498 72 14 13 7 0.0004 0.0098 0 39.444 9.001 72 14 10 5 +28 0 0.0087 0.0582 0 48.428 13.158 38 14 44 13 0.0017 0.0582 0 26.34 8.074 38 14 8 4 +28 0 0.0002 0.001 0 77.687 13.259 67 14 116 14 0.0001 0.001 0 39.508 8.418 67 14 41 6 +28 0 0.0002 0.0006 0 60.545 14.19 81 17 5 4 0.0001 0.0006 0 31.65 8.193 81 17 27 7 +28 0 0.0002 0.0005 0 81.219 13.049 120 15 19 8 0.0001 0.0005 0 43.181 8.659 120 15 15 4 +29 0 0.0002 0.0006 0 103.218 13.282 80 10 126 16 0.0001 0.0006 0 50.174 8.55 80 10 46 6 +29 0 0.0019 0.0099 0 86.01 13.665 80 17 68 15 0.0005 0.0099 0 40.997 9.157 80 17 10 5 +29 0 0.0107 0.1036 0 47.719 13.021 53 17 30 9 0.002 0.1036 0 27.052 8.239 53 17 8 4 +29 0 0.0002 0.001 0 79.559 13.383 64 14 107 16 0.0001 0.001 0 40.843 8.584 64 14 41 6 +29 0 0.0002 0.0006 0 60.695 14.178 81 17 31 11 0.0001 0.0006 0 32.618 8.392 81 17 27 7 +29 0 0.0002 0.0005 0 82.787 13.162 133 17 59 16 0.0001 0.0005 0 44.501 8.809 133 17 15 4 +30 0 0.0002 0.0006 0 105.59 13.448 79 10 138 17 0.0001 0.0006 0 51.961 8.708 79 10 46 6 +30 0 0.0022 0.013 0 88.115 13.709 82 16 171 15 0.0005 0.013 0 42.517 9.304 82 16 10 5 +30 0 0.0137 0.3671 0 46.929 12.849 53 17 63 17 0.0024 0.3671 0 27.693 8.388 53 17 8 4 +30 0 0.0002 0.001 0 80.819 13.461 64 14 149 17 0.0001 0.001 0 42.132 8.741 64 14 41 6 +30 0 0.0002 0.0007 0 61.628 14.234 79 17 9 4 0.0001 0.0007 0 33.554 8.581 79 17 27 7 +30 0 0.0002 0.0005 0 84.361 13.192 95 15 108 14 0.0001 0.0005 0 45.787 8.951 95 15 15 4 +31 0 0.0002 0.0006 0 106.549 13.488 79 10 190 17 0.0001 0.0006 0 53.667 8.857 79 10 46 6 +31 0 0.0027 0.0146 0 90.18 13.891 80 16 91 15 0.0006 0.0146 0 44.006 9.447 80 16 10 5 +31 0 0.0177 1 0 45.876 12.619 25 8 55 16 0.0029 1 0 28.262 8.52 25 8 8 4 +31 0 0.0002 0.001 0 82.987 13.587 64 14 70 15 0.0001 0.001 0 43.409 8.892 64 14 41 6 +31 0 0.0002 0.0007 0 63.592 14.479 79 17 10 7 0.0001 0.0007 0 34.492 8.765 79 17 27 7 +31 0 0.0002 0.0005 0 85.732 13.314 92 15 100 15 0.0001 0.0005 0 47.035 9.087 92 15 15 4 +32 0 0.0002 0.0007 0 108.574 13.607 71 9 170 17 0.0001 0.0007 0 55.331 9.001 71 9 46 6 +32 0 0.0033 0.015 0 92.545 14.089 65 14 107 17 0.0007 0.015 0 45.477 9.588 65 14 10 5 +32 0 0.0002 0.001 0 84.811 13.688 64 14 71 16 0.0001 0.001 0 44.664 9.038 64 14 41 6 +32 0 0.0002 0.0007 0 64.374 14.449 79 17 31 10 0.0001 0.0007 0 35.398 8.937 79 17 27 7 +32 0 0.0002 0.0005 0 89.064 13.46 70 14 68 13 0.0001 0.0005 0 48.308 9.219 70 14 15 4 +33 0 0.0002 0.0007 0 109.75 13.656 71 9 84 15 0.0001 0.0007 0 56.931 9.138 71 9 46 6 +33 0 0.0039 0.0176 0 94.433 14.404 88 17 157 17 0.0008 0.0176 0 46.917 9.729 88 17 10 5 +33 0 0.0002 0.001 0 87.645 13.76 64 14 79 17 0.0001 0.001 0 45.928 9.177 64 14 41 6 +33 0 0.0002 0.0007 0 65.607 14.549 42 12 26 10 0.0001 0.0007 0 36.286 9.102 42 12 27 7 +33 0 0.0002 0.0005 0 91.239 13.573 70 14 100 14 0.0001 0.0005 0 49.571 9.348 70 14 15 4 +34 0 0.0002 0.0007 0 111.346 13.73 76 10 156 16 0.0001 0.0007 0 58.486 9.269 76 10 46 6 +34 0 0.0043 0.0217 0 96.153 14.534 33 7 77 12 0.0009 0.0217 0 48.324 9.867 33 7 10 5 +34 0 0.0003 0.001 0 90.057 13.896 63 14 100 14 0.0001 0.001 0 47.189 9.311 63 14 41 6 +34 0 0.0002 0.0007 0 66.469 14.555 82 17 54 17 0.0001 0.0007 0 37.149 9.258 82 17 27 7 +34 0 0.0002 0.0006 0 93.315 13.728 135 16 233 16 0.0001 0.0006 0 50.821 9.473 135 16 15 4 +35 0 0.0002 0.0007 0 111.29 13.682 76 10 186 17 0.0001 0.0007 0 59.953 9.392 76 10 46 6 +35 0 0.0046 0.0217 0 97.286 14.619 33 7 92 14 0.001 0.0217 0 49.684 9.999 33 7 10 5 +35 0 0.0003 0.001 0 91.163 13.984 63 14 127 16 0.0001 0.001 0 48.41 9.441 63 14 41 6 +35 0 0.0002 0.0008 0 67.719 14.626 66 17 41 13 0.0001 0.0008 0 37.998 9.407 66 17 27 7 +35 0 0.0002 0.0006 0 95.078 13.845 133 16 81 13 0.0001 0.0006 0 52.05 9.594 133 16 15 4 +36 0 0.0002 0.0007 0 112.169 13.729 76 10 94 13 0.0001 0.0007 0 61.364 9.509 76 10 46 6 +36 0 0.0046 0.0987 0 98.176 14.607 33 7 70 13 0.0011 0.0987 0 50.994 10.123 33 7 10 5 +36 0 0.0003 0.001 0 91.265 13.954 63 14 101 15 0.0001 0.001 0 49.568 9.563 63 14 41 6 +36 0 0.0002 0.0008 0 68.32 14.667 63 17 33 11 0.0001 0.0008 0 38.817 9.549 63 17 27 7 +36 0 0.0002 0.0006 0 96.543 13.909 133 16 140 15 0.0001 0.0006 0 53.253 9.711 133 16 15 4 +37 0 0.0002 0.0007 0 113.278 13.734 76 10 103 14 0.0001 0.0007 0 62.73 9.62 76 10 46 6 +37 0 0.005 0.112 0 101.01 14.738 38 11 99 16 0.0012 0.112 0 52.31 10.245 38 11 10 5 +37 0 0.0003 0.001 0 93.478 14.05 63 14 94 14 0.0001 0.001 0 50.724 9.681 63 14 41 6 +37 0 0.0002 0.0008 0 68.028 14.635 76 17 16 7 0.0001 0.0008 0 39.586 9.683 76 17 27 7 +37 0 0.0003 0.0006 0 100.359 14.138 139 16 116 17 0.0001 0.0006 0 54.492 9.827 139 16 15 4 +38 0 0.0002 0.0007 0 115.305 13.868 75 9 173 16 0.0001 0.0007 0 64.078 9.729 75 9 46 6 +38 0 0.0056 0.1539 0 101.574 14.694 34 7 90 14 0.0013 0.1539 0 53.574 10.359 34 7 10 5 +38 0 0.0003 0.001 0 94.937 14.132 63 14 183 16 0.0001 0.001 0 51.858 9.795 63 14 41 6 +38 0 0.0002 0.0009 0 68.541 14.679 47 14 37 12 0.0001 0.0009 0 40.328 9.811 47 14 27 7 +38 0 0.0003 0.0006 0 102.999 14.304 139 16 81 13 0.0001 0.0006 0 55.736 9.942 139 16 15 4 +39 0 0.0002 0.0008 0 117.779 13.97 86 10 26 7 0.0001 0.0008 0 65.421 9.835 86 10 46 6 +39 0 0.0067 0.1799 0 98.799 14.397 32 7 103 16 0.0014 0.1799 0 54.704 10.46 32 7 10 5 +39 0 0.0003 0.001 0 96.486 14.288 63 14 70 12 0.0001 0.001 0 52.973 9.908 63 14 41 6 +39 0 0.0002 0.0011 0 69.061 14.753 64 17 21 8 0.0001 0.0011 0 41.047 9.935 64 17 27 7 +39 0 0.0003 0.0006 0 104.01 14.415 119 16 141 16 0.0001 0.0006 0 56.943 10.054 119 16 15 4 +40 0 0.0003 0.0008 0 119.027 13.995 77 9 44 9 0.0001 0.0008 0 66.728 9.936 77 9 46 6 +40 0 0.0092 0.1799 0 92.606 13.975 32 7 132 16 0.0016 0.1799 0 55.629 10.545 32 7 10 5 +40 0 0.0003 0.001 0 97.316 14.407 63 14 126 16 0.0002 0.001 0 54.055 10.017 63 14 41 6 +40 0 0.0002 0.0012 0 69.305 14.852 63 17 34 11 0.0001 0.0012 0 41.736 10.055 63 17 27 7 +40 0 0.0003 0.0006 0 105.812 14.483 147 14 69 15 0.0001 0.0006 0 58.135 10.162 147 14 15 4 +41 0 0.0003 0.0008 0 120.93 14.032 76 9 50 9 0.0001 0.0008 0 68.019 10.034 76 9 46 6 +41 0 0.0145 0.1799 0 80.731 13.514 32 7 59 12 0.0019 0.1799 0 56.226 10.616 32 7 10 5 +41 0 0.0003 0.001 0 97.749 14.513 63 14 217 17 0.0002 0.001 0 55.095 10.124 63 14 41 6 +41 0 0.0002 0.0013 0 69.69 14.898 73 17 34 9 0.0001 0.0013 0 42.402 10.17 73 17 27 7 +41 0 0.0003 0.0006 0 107.352 14.597 136 14 195 16 0.0001 0.0006 0 59.307 10.267 136 14 15 4 +42 0 0.0003 0.0008 0 124.702 14.135 76 9 109 16 0.0001 0.0008 0 69.337 10.129 76 9 46 6 +42 0 0.0213 0.2024 0 66.21 12.864 62 15 88 14 0.0024 0.2024 0 56.458 10.668 62 15 10 5 +42 0 0.0003 0.001 0 96.912 14.473 63 14 24 7 0.0002 0.001 0 56.068 10.226 63 14 41 6 +42 0 0.0002 0.0013 0 69.745 15.017 73 17 52 15 0.0001 0.0013 0 43.037 10.283 73 17 27 7 +42 0 0.0003 0.0006 0 109.203 14.702 136 14 106 15 0.0002 0.0006 0 60.467 10.371 136 14 15 4 +43 0 0.0003 0.0008 0 126.946 14.111 76 9 59 12 0.0001 0.0008 0 70.646 10.22 76 9 46 6 +43 0 0.0301 0.5368 0 59.249 12.818 95 12 56 13 0.003 0.5368 0 56.522 10.717 95 12 10 5 +43 0 0.0003 0.001 0 97.67 14.551 59 13 111 16 0.0002 0.001 0 57.013 10.324 59 13 41 6 +43 0 0.0002 0.0013 0 69.028 14.988 73 17 57 16 0.0001 0.0013 0 43.628 10.39 73 17 27 7 +43 0 0.0003 0.0006 0 110.988 14.8 137 14 144 15 0.0002 0.0006 0 61.615 10.471 137 14 15 4 +44 0 0.0003 0.0008 0 130.898 14.265 123 13 82 11 0.0001 0.0008 0 71.985 10.31 123 13 46 6 +44 0 0.0394 0.6463 0 56.874 13.024 105 13 63 16 0.0038 0.6463 0 56.53 10.769 105 13 10 5 +44 0 0.0003 0.001 0 96.612 14.581 59 13 91 15 0.0002 0.001 0 57.893 10.419 59 13 41 6 +44 0 0.0003 0.0013 0 69.164 15.148 73 17 18 7 0.0001 0.0013 0 44.196 10.496 73 17 27 7 +44 0 0.0003 0.0006 0 112.525 14.856 155 16 87 14 0.0002 0.0006 0 62.747 10.569 155 16 15 4 +45 0 0.0003 0.0008 0 133.964 14.393 76 9 145 13 0.0001 0.0008 0 73.333 10.398 76 9 46 6 +45 0 0.0566 0.9654 0 58.431 13.116 104 17 36 10 0.005 0.9654 0 56.571 10.82 104 17 10 5 +45 0 0.0003 0.0011 0 96.138 14.635 65 17 51 10 0.0002 0.0011 0 58.724 10.51 65 17 41 6 +45 0 0.0003 0.0013 0 68.08 15.124 73 17 85 17 0.0001 0.0013 0 44.715 10.596 73 17 27 7 +45 0 0.0003 0.0006 0 113.795 14.875 141 14 159 15 0.0002 0.0006 0 63.856 10.662 141 14 15 4 +46 0 0.0003 0.001 0 138.346 14.577 148 15 155 15 0.0001 0.001 0 74.716 10.487 148 15 46 6 +46 0 0.0003 0.0011 0 95.775 14.642 65 17 69 14 0.0002 0.0011 0 59.513 10.598 65 17 41 6 +46 0 0.0003 0.0014 0 67.649 15.141 73 17 28 8 0.0001 0.0014 0 45.203 10.693 73 17 27 7 +46 0 0.0003 0.0006 0 116.163 14.963 120 14 152 16 0.0002 0.0006 0 64.969 10.754 120 14 15 4 +47 0 0.0003 0.001 0 141.587 14.669 148 15 113 13 0.0002 0.001 0 76.109 10.574 148 15 46 6 +47 0 0.0003 0.0011 0 96.477 14.774 63 17 104 17 0.0002 0.0011 0 60.283 10.685 63 17 41 6 +47 0 0.0003 0.0015 0 67.151 15.23 80 17 16 8 0.0001 0.0015 0 45.66 10.787 80 17 27 7 +47 0 0.0003 0.0006 0 118.856 15.028 120 14 122 15 0.0002 0.0006 0 66.092 10.843 120 14 15 4 +48 0 0.0004 0.0011 0 143.616 14.725 144 12 171 15 0.0002 0.0011 0 77.487 10.659 144 12 46 6 +48 0 0.0003 0.0011 0 96.265 14.862 89 17 112 17 0.0002 0.0011 0 61.017 10.77 89 17 41 6 +48 0 0.0003 0.0015 0 66.125 15.186 80 17 52 12 0.0001 0.0015 0 46.078 10.877 80 17 27 7 +48 0 0.0003 0.0007 0 119.481 15.024 124 14 121 17 0.0002 0.0007 0 67.182 10.928 124 14 15 4 +49 0 0.0004 0.0012 0 146.249 14.829 149 12 79 11 0.0002 0.0012 0 78.862 10.743 149 12 46 6 +49 0 0.0004 0.0011 0 94.967 14.858 89 17 98 17 0.0002 0.0011 0 61.696 10.852 89 17 41 6 +49 0 0.0004 0.0015 0 66.446 15.273 80 17 115 17 0.0001 0.0015 0 46.485 10.965 80 17 27 7 +49 0 0.0003 0.0007 0 120.804 15.023 122 14 121 13 0.0002 0.0007 0 68.254 11.01 122 14 15 4 +50 0 0.0004 0.0012 0 147.337 14.865 150 12 189 16 0.0002 0.0012 0 80.205 10.823 150 12 46 6 +50 0 0.0004 0.0011 0 94.681 14.891 109 16 108 17 0.0002 0.0011 0 62.343 10.931 109 16 41 6 +50 0 0.0004 0.0017 0 66.025 15.191 97 17 26 7 0.0001 0.0017 0 46.868 11.048 97 17 27 7 +50 0 0.0004 0.0007 0 122.482 15.117 117 14 138 16 0.0002 0.0007 0 69.317 11.091 117 14 15 4 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.bst new file mode 100644 index 0000000..a3ec78f --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.bst @@ -0,0 +1,20 @@ +=== BEST-OF-RUN === + generation: 22 + nodes: 19 + depth: 4 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ (* (* x x) x) + (+ (* x x) x)) + (* (* (* x x) x) x)) +TREE-equ: +y = ((((x * x) * x) + ((x * x) + x)) + (((x * x) * x) * x)) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.fn new file mode 100644 index 0000000..4e0d597 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * x) * x) + ((x * x) + x)) + (((x * x) * x) * x)) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.his new file mode 100644 index 0000000..b6d718c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.his @@ -0,0 +1,472 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 17 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11293.1893 + standardized fitness: 11293.1893 + adjusted fitness: 0.0001 +TREE: + (+ (* (exp (+ x 0.15275)) + (exp (log x))) + (sin (+ (- 0.67910 0.85002) + (/ -0.77981 -0.81046)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 17 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9970.7176 + standardized fitness: 9970.7176 + adjusted fitness: 0.0001 +TREE: + (/ (* (* x x) + (* (* x x) + (log x))) + (/ (cos x) + (- x x))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 17 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9970.7176 + standardized fitness: 9970.7176 + adjusted fitness: 0.0001 +TREE: + (/ (* (* x x) + (* (* x x) + (log x))) + (/ (cos x) + (- x x))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 12 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9737.9938 + standardized fitness: 9737.9938 + adjusted fitness: 0.0001 +TREE: + (- (exp (log x)) + (* (/ x -0.21114) + (exp (* 0.72723 x)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 23 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7026.9134 + standardized fitness: 7026.9134 + adjusted fitness: 0.0001 +TREE: + (/ (* (* x x) + (* (* x x) + (sin (- (/ x x) + (/ -0.49635 x))))) + (/ (cos 0.82517) + (- x x))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 23 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7026.9134 + standardized fitness: 7026.9134 + adjusted fitness: 0.0001 +TREE: + (/ (* (* x x) + (* (* x x) + (sin (- (/ x x) + (/ -0.49635 x))))) + (/ (cos 0.82517) + (- x x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 23 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7026.9134 + standardized fitness: 7026.9134 + adjusted fitness: 0.0001 +TREE: + (/ (* (* x x) + (* (* x x) + (sin (- (/ x x) + (/ -0.49635 x))))) + (/ (cos 0.82517) + (- x x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 4 + nodes: 23 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7026.9134 + standardized fitness: 7026.9134 + adjusted fitness: 0.0001 +TREE: + (/ (* (* x x) + (* (* x x) + (sin (- (/ x x) + (/ -0.49635 x))))) + (/ (cos 0.82517) + (- x x))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 20 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4274.1007 + standardized fitness: 4274.1007 + adjusted fitness: 0.0002 +TREE: + (/ (* (* x x) + (* (* x x) + (sin (- (/ x x) + (/ -0.49635 x))))) + (/ -0.31940 -0.47088)) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 20 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4274.1007 + standardized fitness: 4274.1007 + adjusted fitness: 0.0002 +TREE: + (/ (* (* x x) + (* (* x x) + (sin (- (/ x x) + (/ -0.49635 x))))) + (/ -0.31940 -0.47088)) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 19 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4081.5294 + standardized fitness: 4081.5294 + adjusted fitness: 0.0002 +TREE: + (* (* (- -0.92997 x) + (/ (sin (sin (cos (cos (* x x))))) + (/ -0.55687 x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 19 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4081.5294 + standardized fitness: 4081.5294 + adjusted fitness: 0.0002 +TREE: + (* (* (- -0.92997 x) + (/ (sin (sin (cos (cos (* x x))))) + (/ -0.55687 x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 12 + generation: 10 + nodes: 19 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4081.5294 + standardized fitness: 4081.5294 + adjusted fitness: 0.0002 +TREE: + (* (* (- -0.92997 x) + (/ (sin (sin (cos (cos (* x x))))) + (/ -0.55687 x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 40 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3428.7081 + standardized fitness: 3428.7081 + adjusted fitness: 0.0003 +TREE: + (* (* (- -0.92997 x) + (/ (sin (sin (cos (sin (+ x + (+ (+ 0.43815 + (* (/ 0.30197 -0.25288) -0.20343)) + (exp (+ (- x x) + (/ (- x -0.88782) + (cos (* x + (exp 0.69048)))))))))))) + (/ -0.55687 x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 18 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1420.7805 + standardized fitness: 1420.7805 + adjusted fitness: 0.0007 +TREE: + (* (* (- -0.92997 x) + (/ (sin (sin (cos (* -0.17582 x)))) + (/ -0.55687 x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 19 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 918.9619 + standardized fitness: 918.9619 + adjusted fitness: 0.0011 +TREE: + (* (* (- -0.92997 x) + (/ (sin (sin (cos (cos (exp (sin -0.59451)))))) + (/ -0.55687 x))) + (* x x)) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 552.1586 + standardized fitness: 552.1586 + adjusted fitness: 0.0018 +TREE: + (* x + (+ (* (* x x) x) + (* (+ 0.85478 x) x))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 20 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 516.9452 + standardized fitness: 516.9452 + adjusted fitness: 0.0019 +TREE: + (* x + (+ (* (* x x) x) + (* (+ (cos (sin (sin (+ (exp x) + (cos 0.18061))))) x) x))) +=== BEST-OF-RUN === + current generation: 18 + generation: 17 + nodes: 20 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 516.9452 + standardized fitness: 516.9452 + adjusted fitness: 0.0019 +TREE: + (* x + (+ (* (* x x) x) + (* (+ (cos (sin (sin (+ (exp x) + (cos 0.18061))))) x) x))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 19 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 73.1552 + standardized fitness: 73.1552 + adjusted fitness: 0.0135 +TREE: + (+ (+ (* (* x x) x) + (* (+ 0.85478 x) x)) + (* (* (* x x) x) x)) +=== BEST-OF-RUN === + current generation: 20 + generation: 19 + nodes: 19 + depth: 4 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 73.1552 + standardized fitness: 73.1552 + adjusted fitness: 0.0135 +TREE: + (+ (+ (* (* x x) x) + (* (+ 0.85478 x) x)) + (* (* (* x x) x) x)) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 22 + depth: 7 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 42.8689 + standardized fitness: 42.8689 + adjusted fitness: 0.0228 +TREE: + (+ (+ (* (* x x) x) + (* (+ (cos (sin (sin -0.44286))) x) x)) + (* (* (* x x) x) x)) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 19 + depth: 4 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (+ (* (* x x) x) + (+ (* x x) x)) + (* (* (* x x) x) x)) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.prg new file mode 100644 index 0000000..31951c4 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -2.52544, y = 28.42242 + x = 3.04107, y = 125.94109 + x = 2.91696, y = 108.64277 + x = 4.36548, y = 469.80355 + x = -4.86618, y = 464.31197 + x = 4.69496, y = 616.10291 + x = 3.55967, y = 221.89607 + x = 0.59237, y = 1.27428 + x = 4.92645, y = 737.78712 + x = 0.99036, y = 3.90455 + x = 4.62138, y = 580.80463 + x = -0.59499, y = -0.32629 + x = 2.24364, y = 43.91216 + x = -0.45282, y = -0.29858 + x = 1.08835, y = 4.96503 + x = -2.27236, y = 17.82049 + x = 3.30057, y = 168.82457 + x = -1.03809, y = 0.08215 + x = 3.26176, y = 161.79259 + x = 2.63099, y = 75.68078 + x = -2.43962, y = 24.41527 + x = 2.11541, y = 36.08212 + x = 2.09513, y = 34.94952 + x = -2.58231, y = 31.33294 + x = 2.90046, y = 106.48711 + x = 3.43763, y = 195.52784 + x = -0.86146, y = -0.20791 + x = 0.90617, y = 3.14569 + x = -4.17108, y = 243.34622 + x = 3.48067, y = 204.53840 + x = -2.48998, y = 26.71215 + x = -2.16515, y = 14.34903 + x = -1.23130, y = 0.71658 + x = -1.79836, y = 6.07903 + x = 4.80772, y = 673.31381 + x = 4.51252, y = 531.40643 + x = -1.95601, y = 9.02447 + x = 0.80696, y = 2.40765 + x = 4.82558, y = 682.73107 + x = 3.98189, y = 334.36876 + x = 3.32166, y = 172.74103 + x = -2.20010, y = 15.42075 + x = 1.39606, y = 9.86452 + x = 1.23466, y = 6.96488 + x = 0.84372, y = 2.66294 + x = 3.89454, y = 308.18464 + x = -2.61603, y = 33.15969 + x = 0.24278, y = 0.31951 + x = 2.34793, y = 51.19516 + x = -3.38061, y = 100.02331 + x = 0.32370, y = 0.47338 + x = -0.16417, y = -0.14091 + x = 2.91047, y = 107.78982 + x = -2.29427, y = 18.59946 + x = -0.33996, y = -0.25032 + x = 4.63971, y = 589.45494 + x = -0.72763, y = -0.30311 + x = -0.28468, y = -0.22014 + x = 4.55776, y = 551.53539 + x = -4.37870, y = 298.44446 + x = 1.65097, y = 16.30611 + x = -2.24729, y = 16.95923 + x = 0.76679, y = 2.15130 + x = -4.05545, y = 216.18544 + x = 2.66870, y = 79.51955 + x = 1.82148, y = 22.19017 + x = 3.00894, y = 121.27518 + x = -3.99102, y = 202.07614 + x = 3.70346, y = 256.33218 + x = 2.19380, y = 40.72762 + x = -4.65632, y = 386.15035 + x = -1.94221, y = 8.73297 + x = 1.61398, y = 15.20889 + x = 1.64236, y = 16.04555 + x = -2.69271, y = 37.60638 + x = 2.72455, y = 85.47602 + x = 4.20495, y = 408.87488 + x = -0.61060, y = -0.32642 + x = 2.75765, y = 89.16399 + x = 3.26075, y = 161.61281 + x = -0.83474, y = -0.23407 + x = 4.42322, y = 493.31094 + x = 1.34841, y = 8.92418 + x = -4.79239, y = 435.58944 + x = -3.17030, y = 76.03517 + x = 4.75731, y = 647.26511 + x = 2.06806, y = 33.48129 + x = -2.17585, y = 14.67108 + x = 0.53294, y = 1.04900 + x = -2.01376, y = 10.32000 + x = -3.49643, y = 115.43556 + x = -2.96499, y = 57.04530 + x = 2.10350, y = 35.41362 + x = -2.36822, y = 21.41306 + x = 3.63822, y = 240.24097 + x = 0.26387, y = 0.35672 + x = 1.18592, y = 6.23819 + x = 4.75370, y = 645.42676 + x = -1.07263, y = 0.16754 + x = 3.11917, y = 137.85308 + x = 4.68960, y = 613.47917 + x = 2.99457, y = 119.23068 + x = 2.48513, y = 62.15031 + x = 4.08718, y = 368.12810 + x = 2.45413, y = 59.53099 + x = 0.90048, y = 3.09904 + x = 3.48742, y = 205.98135 + x = 2.70285, y = 83.12259 + x = -4.12397, y = 231.98893 + x = -0.09728, y = -0.08864 + x = -2.42834, y = 23.92181 + x = -3.55178, y = 123.39909 + x = 4.18238, y = 400.81549 + x = 1.57152, y = 14.02155 + x = 4.11773, y = 378.38922 + x = -0.38404, y = -0.27144 + x = 0.64921, y = 1.52194 + x = -1.86499, y = 7.22422 + x = -2.69367, y = 37.66459 + x = -2.59517, y = 32.02048 + x = -4.36444, y = 294.38855 + x = 3.25525, y = 160.63517 + x = 2.08161, y = 34.21040 + x = -4.41571, y = 309.17439 + x = 2.50421, y = 63.80529 + x = -2.65089, y = 35.12985 + x = 0.57266, y = 1.19593 + x = 2.52680, y = 65.80878 + x = 4.18824, y = 402.89468 + x = 1.40681, y = 10.08701 + x = 4.23713, y = 420.57920 + x = -3.49790, y = 115.64277 + x = -1.48663, y = 2.32230 + x = -2.14507, y = 13.75831 + x = 0.68909, y = 1.71664 + x = -2.28295, y = 18.19416 + x = -4.75917, y = 423.10377 + x = 4.77689, y = 657.29098 + x = -3.91012, y = 185.35144 + x = 2.21374, y = 41.97933 + x = -0.89190, y = -0.17311 + x = -1.06695, y = 0.15275 + x = -4.48218, y = 329.16725 + x = -1.87189, y = 7.35085 + x = -2.64931, y = 35.03878 + x = -1.75167, y = 5.35678 + x = -0.04661, y = -0.04453 + x = 1.51921, y = 12.66038 + x = 0.12757, y = 0.14619 + x = 1.28911, y = 7.85476 + x = 4.69121, y = 614.27011 + x = 3.65912, y = 245.31114 + x = -4.43454, y = 314.74236 + x = 2.52056, y = 65.25090 + x = 3.88204, y = 304.56836 + x = 3.18750, y = 148.96210 + x = -0.51880, y = -0.31684 + x = -0.36980, y = -0.26492 + x = -1.60191, y = 3.43847 + x = -0.26292, y = -0.20719 + x = 0.65965, y = 1.57116 + x = 3.71053, y = 258.12450 + x = 1.61297, y = 15.17976 + x = -1.33771, y = 1.26016 + x = -4.20538, y = 251.87355 + x = 3.63861, y = 240.33459 + x = -4.06960, y = 219.38061 + x = 1.05427, y = 4.57298 + x = -0.77917, y = -0.27653 + x = 0.86941, y = 2.85378 + x = 4.66257, y = 600.37085 + x = 4.13000, y = 382.56973 + x = 3.00744, y = 121.05931 + x = 1.01722, y = 4.17522 + x = -2.28638, y = 18.31627 + x = -3.02357, y = 62.05237 + x = 2.68979, y = 81.72968 + x = 4.56105, y = 553.02164 + x = -3.29775, y = 89.98321 + x = 4.31670, y = 450.61167 + x = 2.86791, y = 102.32997 + x = -4.05754, y = 216.65629 + x = -0.87129, y = -0.19727 + x = -0.54885, y = -0.32220 + x = -4.25284, y = 264.04103 + x = -4.47341, y = 326.47359 + x = -0.11087, y = -0.09979 + x = 4.85108, y = 696.34435 + x = -2.93969, y = 54.97842 + x = 2.05049, y = 32.55399 + x = -3.21336, y = 80.55148 + x = -0.81344, y = -0.25217 + x = 0.55606, y = 1.13281 + x = 0.22047, y = 0.28216 + x = 2.55117, y = 68.02419 + x = -0.02190, y = -0.02143 + x = 0.92561, y = 3.30945 + x = -0.49941, y = -0.31235 + x = -4.58551, y = 362.15161 + x = -4.62575, y = 375.64672 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.stt new file mode 100644 index 0000000..377d540 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.stt @@ -0,0 +1,24 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.869 3.638 17 4 17 6 0.0000 0.0001 0.0000 12.869 3.638 17 4 17 6 +1 0 0.0000 0.0001 0.0000 12.442 3.878 17 4 21 9 0.0000 0.0001 0.0000 12.655 3.758 17 4 17 6 +2 0 0.0000 0.0001 0.0000 12.755 4.078 17 4 15 7 0.0000 0.0001 0.0000 12.689 3.864 17 4 17 6 +3 0 0.0000 0.0001 0.0000 12.782 4.257 12 4 18 6 0.0000 0.0001 0.0000 12.712 3.962 12 4 17 6 +4 0 0.0000 0.0001 0.0000 13.148 4.420 23 6 13 6 0.0000 0.0001 0.0000 12.799 4.054 23 6 17 6 +5 0 0.0000 0.0001 0.0000 13.307 4.537 23 6 7 4 0.0000 0.0001 0.0000 12.884 4.134 23 6 17 6 +6 0 0.0000 0.0001 0.0000 13.787 4.711 23 6 30 8 0.0000 0.0001 0.0000 13.013 4.217 23 6 17 6 +7 0 0.0000 0.0001 0.0000 13.878 4.758 23 6 7 5 0.0000 0.0001 0.0000 13.121 4.284 23 6 17 6 +8 0 0.0000 0.0002 0.0000 14.323 4.889 20 6 7 5 0.0000 0.0002 0.0000 13.255 4.352 20 6 17 6 +9 0 0.0000 0.0002 0.0000 14.992 5.074 20 6 5 3 0.0000 0.0002 0.0000 13.428 4.424 20 6 17 6 +10 0 0.0000 0.0002 0.0000 15.738 5.234 19 8 9 5 0.0000 0.0002 0.0000 13.638 4.497 19 8 17 6 +11 0 0.0000 0.0002 0.0000 16.802 5.452 19 8 6 4 0.0000 0.0002 0.0000 13.902 4.577 19 8 17 6 +12 0 0.0000 0.0002 0.0000 19.122 5.851 19 8 6 4 0.0000 0.0002 0.0000 14.303 4.675 19 8 17 6 +13 0 0.0000 0.0003 0.0000 21.525 6.270 40 15 24 10 0.0000 0.0003 0.0000 14.819 4.789 40 15 17 6 +14 0 0.0000 0.0007 0.0000 23.704 6.661 18 7 5 3 0.0000 0.0007 0.0000 15.412 4.914 18 7 17 6 +15 0 0.0000 0.0011 0.0000 26.833 7.192 19 9 12 9 0.0000 0.0011 0.0000 16.125 5.056 19 9 17 6 +16 0 0.0001 0.0018 0.0000 29.790 7.703 13 4 44 10 0.0000 0.0018 0.0000 16.929 5.212 13 4 17 6 +17 0 0.0001 0.0019 0.0000 32.398 8.194 20 9 34 7 0.0000 0.0019 0.0000 17.789 5.377 20 9 17 6 +18 0 0.0001 0.0019 0.0000 34.900 8.680 20 9 14 7 0.0000 0.0019 0.0000 18.689 5.551 20 9 17 6 +19 0 0.0002 0.0135 0.0000 35.697 9.283 19 4 65 15 0.0000 0.0135 0.0000 19.540 5.738 19 4 17 6 +20 0 0.0004 0.0135 0.0000 31.740 9.711 19 4 48 15 0.0001 0.0135 0.0000 20.121 5.927 19 4 17 6 +21 0 0.0008 0.0228 0.0000 28.745 10.098 22 7 98 17 0.0001 0.0228 0.0000 20.513 6.117 22 7 17 6 +22 0 0.0012 1.0000 0.0000 30.491 10.678 19 4 47 12 0.0001 1.0000 0.0000 20.946 6.315 19 4 17 6 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.sys new file mode 100644 index 0000000..5fb594b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_0/regress.sys @@ -0,0 +1,119 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 43. +creating initial population(s): + 5619 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 55791408 + freed: 55350264 + not freed: 441144 + max allocated: 4909963 + malloc'ed blocks: 339329 + realloc'ed blocks: 9 + free'ed blocks: 339263 + +------- time ------- + overall: 1s wall + evaluation: 1s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 21642 + freed: 21642 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.bst new file mode 100644 index 0000000..f858fe2 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 12 + nodes: 17 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (* x + (+ (* x x) + (* x + (* x x)))) + (+ (* x x) x)) +TREE-equ: +y = ((x * ((x * x) + (x * (x * x)))) + ((x * x) + x)) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.fn new file mode 100644 index 0000000..637295b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * ((x * x) + (x * (x * x)))) + ((x * x) + x)) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.his new file mode 100644 index 0000000..324c90c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.his @@ -0,0 +1,251 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11571.0574 + standardized fitness: 11571.0574 + adjusted fitness: 0.0001 +TREE: + (/ (- -0.26361 + (* x x)) -0.05747) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11571.0574 + standardized fitness: 11571.0574 + adjusted fitness: 0.0001 +TREE: + (/ (- -0.26361 + (* x x)) -0.05747) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 7 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11571.0574 + standardized fitness: 11571.0574 + adjusted fitness: 0.0001 +TREE: + (/ (- -0.26361 + (* x x)) -0.05747) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 11 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2625.7353 + standardized fitness: 2625.7353 + adjusted fitness: 0.0004 +TREE: + (* (* x + (+ (* x x) + (+ -0.42021 x))) x) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 11 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2625.7353 + standardized fitness: 2625.7353 + adjusted fitness: 0.0004 +TREE: + (* (* x + (+ (* x x) + (+ -0.42021 x))) x) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1900.8767 + standardized fitness: 1900.8767 + adjusted fitness: 0.0005 +TREE: + (* (* x + (+ (* x x) + (+ -0.42021 x))) + (/ x 0.87179)) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 13 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1900.8767 + standardized fitness: 1900.8767 + adjusted fitness: 0.0005 +TREE: + (* (* x + (+ (* x x) + (+ -0.42021 x))) + (/ x 0.87179)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 9 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1849.3315 + standardized fitness: 1849.3315 + adjusted fitness: 0.0005 +TREE: + (* (* x + (+ (* x x) x)) x) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 13 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 993.6917 + standardized fitness: 993.6917 + adjusted fitness: 0.0010 +TREE: + (* (* x + (+ (+ (* x x) 0.88946) + (+ -0.42021 x))) x) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 14 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 535.3925 + standardized fitness: 535.3925 + adjusted fitness: 0.0019 +TREE: + (* (* x + (+ (+ (* x x) 0.88946) + (* (cos -0.02327) x))) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 17 + depth: 6 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 52.8377 + standardized fitness: 52.8377 + adjusted fitness: 0.0186 +TREE: + (* (* x + (+ (+ (* x x) + (+ x + (/ 0.90244 x))) + (/ x x))) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 17 + depth: 6 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 52.8377 + standardized fitness: 52.8377 + adjusted fitness: 0.0186 +TREE: + (* (* x + (+ (+ (* x x) + (+ x + (/ 0.90244 x))) + (/ x x))) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 17 + depth: 5 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (+ (* x + (+ (* x x) + (* x + (* x x)))) + (+ (* x x) x)) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.prg new file mode 100644 index 0000000..a954975 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -0.24959, y = -0.19896 + x = 3.77904, y = 275.98025 + x = 3.87197, y = 301.67675 + x = -2.17729, y = 14.71493 + x = 2.04197, y = 32.11175 + x = -3.48434, y = 113.74858 + x = -2.04031, y = 10.95851 + x = 0.61193, y = 1.35574 + x = 0.55543, y = 1.13047 + x = 1.94176, y = 27.24958 + x = -4.66198, y = 388.11933 + x = 1.90262, y = 25.51430 + x = 4.15317, y = 390.56076 + x = 0.52516, y = 1.02186 + x = 4.11890, y = 378.78577 + x = 2.05176, y = 32.62065 + x = 2.77576, y = 91.23190 + x = -4.40278, y = 305.39329 + x = -4.47783, y = 327.82939 + x = 0.15935, y = 0.18943 + x = 3.42830, y = 193.61487 + x = 2.13896, y = 37.43240 + x = -3.89219, y = 181.79093 + x = -4.22725, y = 257.42835 + x = 0.66552, y = 1.59936 + x = 0.34735, y = 0.52447 + x = -1.84392, y = 6.84698 + x = 2.86282, y = 101.69186 + x = -3.33855, y = 94.82773 + x = 1.62784, y = 15.61300 + x = -0.80494, y = -0.25875 + x = -3.72031, y = 150.19332 + x = -3.04491, y = 63.95640 + x = 0.77137, y = 2.17939 + x = -2.71730, y = 39.12176 + x = -0.51739, y = -0.31654 + x = 1.72668, y = 18.74513 + x = 2.28739, y = 46.86280 + x = 1.38011, y = 9.54143 + x = -3.62754, y = 134.95752 + x = -4.34457, y = 288.80250 + x = 2.42102, y = 56.82773 + x = -1.04428, y = 0.09667 + x = 1.47544, y = 11.60325 + x = 3.31497, y = 171.49042 + x = -2.55479, y = 29.89837 + x = -1.91789, y = 8.23572 + x = 4.77951, y = 658.64035 + x = -4.49613, y = 333.48328 + x = -3.41845, y = 104.87730 + x = 2.53545, y = 66.58899 + x = 4.79444, y = 666.37814 + x = -4.46340, y = 323.42233 + x = 3.99641, y = 338.87773 + x = -3.89508, y = 182.36030 + x = -1.52928, y = 2.70244 + x = 1.82395, y = 22.28636 + x = -1.89940, y = 7.87154 + x = -4.46000, y = 322.38930 + x = -2.44064, y = 24.46047 + x = -0.21102, y = -0.17391 + x = 0.67230, y = 1.63245 + x = 4.23182, y = 418.63095 + x = -0.81702, y = -0.24929 + x = 1.28633, y = 7.80724 + x = -2.08300, y = 12.04397 + x = -2.05310, y = 11.27583 + x = -2.32227, y = 19.63059 + x = 2.21020, y = 41.75473 + x = 1.67369, y = 17.01036 + x = -1.03035, y = 0.06447 + x = 2.99625, y = 119.46826 + x = -4.90665, y = 480.65422 + x = 3.94061, y = 321.79334 + x = 2.62390, y = 74.97459 + x = 3.63386, y = 239.19410 + x = 1.60236, y = 14.87651 + x = -2.88860, y = 50.97571 + x = 4.66782, y = 602.90344 + x = -2.80520, y = 44.91296 + x = 3.52340, y = 213.79404 + x = -4.94451, y = 496.33496 + x = 2.32282, y = 49.36220 + x = 4.10209, y = 373.10841 + x = -3.16114, y = 75.09908 + x = 3.52276, y = 213.65444 + x = -2.95212, y = 55.98690 + x = 2.77211, y = 90.81211 + x = 4.48504, y = 519.45653 + x = 4.36570, y = 469.89229 + x = -3.46429, y = 110.99289 + x = -0.95104, y = -0.08867 + x = -4.92281, y = 487.29993 + x = 4.70642, y = 621.74460 + x = 2.40281, y = 55.38186 + x = -2.34082, y = 20.33648 + x = 2.32766, y = 49.71181 + x = 0.01511, y = 0.01534 + x = 3.85154, y = 295.88041 + x = 4.68111, y = 609.33903 + x = 0.84284, y = 2.65663 + x = -4.02928, y = 210.36955 + x = -4.88831, y = 473.19799 + x = 3.30907, y = 170.39424 + x = -1.94184, y = 8.72529 + x = 2.47997, y = 61.70799 + x = -2.52837, y = 28.56742 + x = -3.56549, y = 125.43323 + x = 2.15755, y = 38.52519 + x = -2.41784, y = 23.46876 + x = -3.57716, y = 127.18481 + x = 4.05185, y = 356.52284 + x = -1.38444, y = 1.55238 + x = -3.82570, y = 169.02915 + x = -3.97635, y = 198.96196 + x = -4.25998, y = 265.90818 + x = 0.59511, y = 1.28544 + x = 4.52540, y = 537.08046 + x = 1.78017, y = 20.63317 + x = -1.37285, y = 1.47659 + x = 0.58934, y = 1.26197 + x = 2.93180, y = 110.60904 + x = -1.17381, y = 0.48514 + x = 2.52909, y = 66.01462 + x = -4.16915, y = 242.87315 + x = -2.00106, y = 10.02449 + x = 2.88456, y = 104.44084 + x = -3.21572, y = 80.80459 + x = 0.88246, y = 2.95481 + x = -4.85607, y = 460.29631 + x = 1.16223, y = 5.90755 + x = 0.16785, y = 0.20155 + x = -0.04615, y = -0.04412 + x = 2.08566, y = 34.43079 + x = -4.22804, y = 257.62963 + x = 4.47155, y = 513.66556 + x = 1.43993, y = 10.79784 + x = 1.14852, y = 5.72260 + x = 3.07844, y = 131.53812 + x = -3.90116, y = 183.56580 + x = -2.07234, y = 11.76600 + x = -2.47752, y = 26.12978 + x = -4.00806, y = 205.73886 + x = 0.85789, y = 2.76691 + x = -1.22363, y = 0.68337 + x = -1.39609, y = 1.63079 + x = -4.77723, y = 429.85981 + x = -2.45189, y = 24.96123 + x = 3.87557, y = 302.70853 + x = -0.59613, y = -0.32632 + x = -0.22538, y = -0.18345 + x = 0.54338, y = 1.08625 + x = 4.13265, y = 383.47638 + x = 3.70762, y = 257.38443 + x = -1.48112, y = 2.27587 + x = -4.32501, y = 283.38113 + x = 1.01687, y = 4.17155 + x = -1.97398, y = 9.41424 + x = 2.53711, y = 66.73926 + x = -1.41340, y = 1.75153 + x = -3.95996, y = 195.52713 + x = 1.32311, y = 8.45470 + x = -1.64393, y = 3.91934 + x = 1.05871, y = 4.62260 + x = 4.65450, y = 596.50110 + x = 3.90036, y = 309.87900 + x = 3.05991, y = 128.73929 + x = 2.75767, y = 89.16546 + x = 2.39793, y = 54.99986 + x = 2.41975, y = 56.72597 + x = -4.48275, y = 329.34093 + x = -1.95300, y = 8.96021 + x = -4.35017, y = 290.36855 + x = -2.62370, y = 33.58574 + x = 3.85253, y = 296.15887 + x = -4.95404, y = 500.33880 + x = 3.79915, y = 281.39552 + x = 0.11857, y = 0.13449 + x = -0.98979, y = -0.02001 + x = -4.84415, y = 455.59114 + x = 1.98207, y = 29.13125 + x = -0.14146, y = -0.12388 + x = -0.75282, y = -0.29154 + x = -2.70415, y = 38.30572 + x = 4.10389, y = 373.71320 + x = 4.83912, y = 689.93402 + x = -3.18822, y = 77.89136 + x = 3.89514, y = 308.35670 + x = 2.43116, y = 57.64596 + x = -3.12840, y = 71.82473 + x = -3.58835, y = 128.88196 + x = 3.68226, y = 251.01748 + x = 3.75058, y = 268.45308 + x = -4.34131, y = 287.89321 + x = -4.41842, y = 309.97000 + x = 4.88066, y = 712.39271 + x = -3.12735, y = 71.72131 + x = 3.61564, y = 234.85399 + x = 2.00536, y = 30.26343 + x = -1.26959, y = 0.89397 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.stt new file mode 100644 index 0000000..59c77aa --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.stt @@ -0,0 +1,14 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.884 3.639 7 3 15 4 0.0000 0.0001 0.0000 12.884 3.639 7 3 15 4 +1 0 0.0000 0.0001 0.0000 11.964 3.784 7 3 5 3 0.0000 0.0001 0.0000 12.424 3.711 7 3 15 4 +2 0 0.0000 0.0001 0.0000 11.691 3.847 7 3 29 8 0.0000 0.0001 0.0000 12.180 3.757 7 3 15 4 +3 0 0.0000 0.0004 0.0000 11.724 3.993 11 4 12 4 0.0000 0.0004 0.0000 12.066 3.816 11 4 15 4 +4 0 0.0000 0.0004 0.0000 11.564 4.029 11 4 23 6 0.0000 0.0004 0.0000 11.965 3.858 11 4 15 4 +5 0 0.0000 0.0005 0.0000 11.769 4.137 13 4 7 5 0.0000 0.0005 0.0000 11.933 3.905 13 4 15 4 +6 0 0.0000 0.0005 0.0000 12.078 4.248 13 4 17 5 0.0000 0.0005 0.0000 11.954 3.954 13 4 15 4 +7 0 0.0000 0.0005 0.0000 12.375 4.379 9 4 6 5 0.0000 0.0005 0.0000 12.006 4.007 9 4 15 4 +8 0 0.0000 0.0010 0.0000 12.389 4.436 13 5 11 6 0.0000 0.0010 0.0000 12.049 4.055 13 5 15 4 +9 0 0.0000 0.0019 0.0000 12.695 4.583 14 5 34 16 0.0000 0.0019 0.0000 12.113 4.107 14 5 15 4 +10 0 0.0001 0.0186 0.0000 13.840 5.005 17 6 21 7 0.0000 0.0186 0.0000 12.270 4.189 17 6 15 4 +11 0 0.0002 0.0186 0.0000 16.321 5.943 17 6 33 15 0.0000 0.0186 0.0000 12.608 4.335 17 6 15 4 +12 0 0.0010 1.0000 0.0000 18.967 6.738 17 5 35 14 0.0001 1.0000 0.0000 13.097 4.520 17 5 15 4 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.sys new file mode 100644 index 0000000..ed44af7 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_1/regress.sys @@ -0,0 +1,89 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1329. +creating initial population(s): + 5616 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 22231984 + freed: 21991360 + not freed: 240624 + max allocated: 3088201 + malloc'ed blocks: 190983 + realloc'ed blocks: 9 + free'ed blocks: 190947 + +------- time ------- + overall: 0s wall + evaluation: 0s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 18017 + freed: 18017 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.bst new file mode 100644 index 0000000..fedf1f8 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.bst @@ -0,0 +1,54 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 150 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 837.8550 + standardized fitness: 837.8550 + adjusted fitness: 0.0012 +TREE: + (+ (+ (* (* (/ (sin 0.54502) + (cos -0.37011)) -0.87562) + (- (/ (+ x x) + (exp x)) + (+ (* (* (exp x) + (- -0.62484 x)) + (cos x)) + (+ (+ x x) + (* (- -0.62484 x) + (- -0.62484 x)))))) + (- x + (* (sin (/ (- (+ (* (/ (/ (+ x -0.86770) + (exp x)) + (+ -0.64399 x)) -0.71462) + (sin 0.54502)) + (* (cos -0.83541) + (- x x))) + (sin (exp (log (- (- -0.83694 x) 0.07256)))))) + (/ 0.43699 + (+ (exp (exp (- 0.50152 x))) + (* (- -0.62484 x) + (- -0.62484 x))))))) + (- (log (+ -0.42032 -0.75327)) + (+ (/ (exp (* (sin x) + (log (+ (/ (- (exp (log -0.33029)) + (log (/ -0.73684 x))) + (exp x)) + (+ (* (log (+ 0.89681 -0.36609)) + (cos (- -0.62484 x))) + (* (exp x) + (- -0.62484 x))))))) + (- (exp (cos (sin 0.20561))) -0.13569)) + (+ (* (sin (/ 0.43699 + (exp x))) + (- x x)) + (* (exp x) + (- -0.62484 x)))))) +TREE-equ: +y = (((((sin(0.54502) / cos(-0.37011)) * -0.87562) * (((x + x) / exp(x)) - (((exp(x) * (-0.62484 - x)) * cos(x)) + ((x + x) + ((-0.62484 - x) * (-0.62484 - x)))))) + (x - (sin((((((((x + -0.86770) / exp(x)) / (-0.64399 + x)) * -0.71462) + sin(0.54502)) - (cos(-0.83541) * (x - x))) / sin(exp(log(((-0.83694 - x) - 0.07256)))))) * (0.43699 / (exp(exp((0.50152 - x))) + ((-0.62484 - x) * (-0.62484 - x))))))) + (log((-0.42032 + -0.75327)) - ((exp((sin(x) * log((((exp(log(-0.33029)) - log((-0.73684 / x))) / exp(x)) + ((log((0.89681 + -0.36609)) * cos((-0.62484 - x))) + (exp(x) * (-0.62484 - x))))))) / (exp(cos(sin(0.20561))) - -0.13569)) + ((sin((0.43699 / exp(x))) * (x - x)) + (exp(x) * (-0.62484 - x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.fn new file mode 100644 index 0000000..c8cf331 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.fn @@ -0,0 +1,2 @@ + +y = (((((sin(0.54502) / cos(-0.37011)) * -0.87562) * (((x + x) / exp(x)) - (((exp(x) * (-0.62484 - x)) * cos(x)) + ((x + x) + ((-0.62484 - x) * (-0.62484 - x)))))) + (x - (sin((((((((x + -0.86770) / exp(x)) / (-0.64399 + x)) * -0.71462) + sin(0.54502)) - (cos(-0.83541) * (x - x))) / sin(exp(log(((-0.83694 - x) - 0.07256)))))) * (0.43699 / (exp(exp((0.50152 - x))) + ((-0.62484 - x) * (-0.62484 - x))))))) + (log((-0.42032 + -0.75327)) - ((exp((sin(x) * log((((exp(log(-0.33029)) - log((-0.73684 / x))) / exp(x)) + ((log((0.89681 + -0.36609)) * cos((-0.62484 - x))) + (exp(x) * (-0.62484 - x))))))) / (exp(cos(sin(0.20561))) - -0.13569)) + ((sin((0.43699 / exp(x))) * (x - x)) + (exp(x) * (-0.62484 - x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.his new file mode 100644 index 0000000..e341f3c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.his @@ -0,0 +1,1625 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 5 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9306.5380 + standardized fitness: 9306.5380 + adjusted fitness: 0.0001 +TREE: + (/ (exp x) + (sin 0.16332)) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 5 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9306.5380 + standardized fitness: 9306.5380 + adjusted fitness: 0.0001 +TREE: + (/ (exp x) + (sin 0.16332)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 12 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7863.7552 + standardized fitness: 7863.7552 + adjusted fitness: 0.0001 +TREE: + (* (- x -0.91879) + (* (* (* (exp -0.30711) x) x) x)) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 12 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7863.7552 + standardized fitness: 7863.7552 + adjusted fitness: 0.0001 +TREE: + (* (- x -0.91879) + (* (* (* (exp -0.30711) x) x) x)) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 35 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7708.6577 + standardized fitness: 7708.6577 + adjusted fitness: 0.0001 +TREE: + (- (- (exp (exp (log x))) + (+ (/ (* (/ x -0.40217) + (/ x 0.27994)) + (exp (sin (sin x)))) + (/ (+ -0.16004 0.56680) + (cos -0.82235)))) + (log (sin (cos (* -0.32253 + (* (sin 0.10194) + (exp x))))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 46 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6809.2960 + standardized fitness: 6809.2960 + adjusted fitness: 0.0001 +TREE: + (+ (- (- (- (cos -0.06205) + (+ x x)) + (+ (+ x x) + (/ x -0.63929))) + (/ (exp (- 0.50152 x)) -0.68614)) + (- 0.23976 + (+ (* (/ (cos -0.46675) + (+ -0.64399 x)) + (cos (/ 0.91517 0.68442))) + (+ (exp (log x)) + (* (exp x) + (- -0.62484 x)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 46 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 6720.8117 + standardized fitness: 6720.8117 + adjusted fitness: 0.0001 +TREE: + (+ (- (- (- (cos -0.06205) + (+ x x)) + (+ (+ x x) + (/ x -0.63929))) + (/ (exp (- 0.50152 x)) -0.68614)) + (- 0.23976 + (+ (* (/ (cos -0.46675) + (exp (sin -0.16859))) + (cos (/ 0.91517 0.68442))) + (+ (exp (log x)) + (* (exp x) + (- -0.62484 x)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 21 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3383.5431 + standardized fitness: 3383.5431 + adjusted fitness: 0.0003 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (* x + (sin 0.50853)) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 21 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3383.5431 + standardized fitness: 3383.5431 + adjusted fitness: 0.0003 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (* x + (sin 0.50853)) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 7 + nodes: 21 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3383.5431 + standardized fitness: 3383.5431 + adjusted fitness: 0.0003 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (* x + (sin 0.50853)) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 7 + nodes: 21 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3383.5431 + standardized fitness: 3383.5431 + adjusted fitness: 0.0003 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (* x + (sin 0.50853)) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 7 + nodes: 21 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3383.5431 + standardized fitness: 3383.5431 + adjusted fitness: 0.0003 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (* x + (sin 0.50853)) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 12 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2837.4493 + standardized fitness: 2837.4493 + adjusted fitness: 0.0004 +TREE: + (* (* x x) + (exp (- (log (+ x x)) + (sin (/ (+ x x) + (- (- -0.62484 x) 0.18283)))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 64 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2594.5891 + standardized fitness: 2594.5891 + adjusted fitness: 0.0004 +TREE: + (+ (+ (* (* (/ (sin 0.54502) + (cos -0.37011)) + (log (+ 0.89681 -0.36609))) + (- (/ (+ x x) + (exp x)) -0.71462)) + (/ (* (cos x) + (exp x)) -0.32262)) + (- 0.23976 + (+ (* (log (+ x + (* -0.65401 + (sin (log x))))) + (cos (/ (+ -0.16004 0.56680) 0.68442))) + (+ (log (log (+ (- (exp x) + (+ 0.16657 x)) + (log 0.48343)))) + (* (exp x) + (- -0.62484 x)))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 21 + nodes: 64 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2594.5891 + standardized fitness: 2594.5891 + adjusted fitness: 0.0004 +TREE: + (+ (+ (* (* (/ (sin 0.54502) + (cos -0.37011)) + (log (+ 0.89681 -0.36609))) + (- (/ (+ x x) + (exp x)) -0.71462)) + (/ (* (cos x) + (exp x)) -0.32262)) + (- 0.23976 + (+ (* (log 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(+ (* (* (/ (sin 0.54502) + (cos -0.37011)) -0.87562) + (- (/ (+ x x) + (exp x)) + (+ (* (* (exp x) + (- -0.62484 x)) + (cos x)) + (+ (+ x x) + (* (- -0.62484 x) + (- -0.62484 x)))))) + (- x + (* (sin (/ (- (+ (* (/ (/ (+ x -0.86770) + (exp x)) + (+ -0.64399 x)) -0.71462) + (sin 0.54502)) + (* (cos -0.83541) + (- x x))) + (sin (exp (log (- (- -0.83694 x) 0.07256)))))) + (/ 0.43699 + (+ (exp (exp (- 0.50152 x))) + (* (- -0.62484 x) + (- -0.62484 x))))))) + (- (log (+ -0.42032 -0.75327)) + (+ (/ (exp (* (sin x) + (log (+ (/ (- (exp (log -0.33029)) + (log (/ -0.73684 x))) + (exp x)) + (+ (* (log (+ 0.89681 -0.36609)) + (cos (cos -0.68856))) + (* (exp x) + (- -0.62484 x))))))) + (- (exp (cos (sin 0.20561))) -0.13569)) + (+ (log (+ x x)) + (* (exp x) + (- -0.62484 x)))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 149 + depth: 12 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 841.1582 + standardized fitness: 841.1582 + adjusted fitness: 0.0012 +TREE: + (+ (+ (* (* (/ (sin 0.54502) + (cos -0.37011)) -0.87562) + (- (/ (+ x x) + (exp x)) + (+ (* (* (exp x) + (- -0.62484 x)) + (cos x)) + (+ (+ x x) + (* (- -0.62484 x) + (- -0.62484 x)))))) + (- x + (* (sin (/ (- (+ (* (/ (/ (+ x -0.86770) + (exp x)) + (+ -0.64399 x)) -0.71462) + (sin 0.54502)) + (* (cos -0.83541) + (- x x))) + (sin (exp (log (- (- -0.83694 x) 0.07256)))))) + (/ 0.43699 + (+ (exp (exp (- 0.50152 x))) + (* (- -0.62484 x) + (- -0.62484 x))))))) + (- (log (+ -0.42032 -0.75327)) + (+ (/ (exp (* (sin x) + (log (+ (/ (- (exp (log -0.33029)) + (log (/ -0.73684 x))) + (exp x)) + (+ (* (log (+ 0.89681 -0.36609)) + (cos (cos -0.68856))) + (* (exp x) + (- -0.62484 x))))))) + (- (exp (cos (sin 0.20561))) -0.13569)) + (+ (* (sin (/ 0.43699 + (exp x))) + (- x x)) + (* (exp x) + (- -0.62484 x)))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 150 + depth: 12 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 837.8550 + standardized fitness: 837.8550 + adjusted fitness: 0.0012 +TREE: + (+ (+ (* (* (/ (sin 0.54502) + (cos -0.37011)) -0.87562) + (- (/ (+ x x) + (exp x)) + (+ (* (* (exp x) + (- -0.62484 x)) + (cos x)) + (+ (+ x x) + (* (- -0.62484 x) + (- -0.62484 x)))))) + (- x + (* (sin (/ (- (+ (* (/ (/ (+ x -0.86770) + (exp x)) + (+ -0.64399 x)) -0.71462) + (sin 0.54502)) + (* (cos -0.83541) + (- x x))) + (sin (exp (log (- (- -0.83694 x) 0.07256)))))) + (/ 0.43699 + (+ (exp (exp (- 0.50152 x))) + (* (- -0.62484 x) + (- -0.62484 x))))))) + (- (log (+ -0.42032 -0.75327)) + (+ (/ (exp (* (sin x) + (log (+ (/ (- (exp (log -0.33029)) + (log (/ -0.73684 x))) + (exp x)) + (+ (* (log (+ 0.89681 -0.36609)) + (cos (- -0.62484 x))) + (* (exp x) + (- -0.62484 x))))))) + (- (exp (cos (sin 0.20561))) -0.13569)) + (+ (* (sin (/ 0.43699 + (exp x))) + (- x x)) + (* (exp x) + (- -0.62484 x)))))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.prg new file mode 100644 index 0000000..bd373d7 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 1.19945, y = 6.43354 + x = -2.22432, y = 16.19698 + x = 4.44343, y = 501.74552 + x = -1.94231, y = 8.73507 + x = -1.92999, y = 8.48054 + x = -3.68750, y = 144.66456 + x = -2.40425, y = 22.89192 + x = -4.35219, y = 290.93528 + x = -0.80333, y = -0.25995 + x = 3.62084, y = 236.08679 + x = -0.53625, y = -0.32020 + x = 1.94376, y = 27.34088 + x = 4.41007, y = 487.88119 + x = -2.90652, y = 52.35363 + x = 3.76332, y = 271.80307 + x = 0.43790, y = 0.75040 + x = -2.27846, y = 18.03503 + x = -0.52648, y = -0.31840 + x = 0.14293, y = 0.16670 + x = 4.61923, y = 579.79671 + x = 3.63136, y = 238.59631 + x = 3.25192, y = 160.04689 + x = -1.83579, y = 6.70530 + x = 0.72363, y = 1.90036 + x = -1.92652, y = 8.40990 + x = 2.22149, y = 42.47413 + x = -2.21826, y = 16.00011 + x = -3.86122, y = 175.75928 + x = 0.70835, y = 1.81729 + x = 3.18340, y = 148.27663 + x = 4.51718, y = 533.45709 + x = -2.32273, y = 19.64776 + x = -0.34459, y = -0.25267 + x = 1.55281, y = 13.52217 + x = 3.23956, y = 157.87296 + x = -1.60877, y = 3.51412 + x = 3.67622, y = 249.51891 + x = -1.69871, y = 4.61189 + x = -0.93445, y = -0.11474 + x = 2.50272, y = 63.67490 + x = 2.58607, y = 71.29485 + x = 4.19570, y = 405.55609 + x = 2.68606, y = 81.33573 + x = 1.04484, y = 4.46895 + x = 1.40601, y = 10.07029 + x = 4.86993, y = 706.54039 + x = 3.96723, y = 329.85975 + x = -1.95051, y = 8.90742 + x = -0.10285, y = -0.09325 + x = -4.02018, y = 208.37453 + x = 3.03441, y = 124.96282 + x = 1.10120, y = 5.11976 + x = -4.82412, y = 447.77227 + x = 2.41427, y = 56.28876 + x = -4.06830, y = 219.08536 + x = -1.47782, y = 2.24832 + x = 3.12027, y = 138.02755 + x = -2.10938, y = 12.75247 + x = -0.18187, y = -0.15372 + x = 4.67878, y = 608.20747 + x = -2.36372, y = 21.23351 + x = 4.29446, y = 442.05857 + x = 1.58226, y = 14.31473 + x = 1.69396, y = 17.65822 + x = -3.96523, y = 196.62658 + x = 0.26806, y = 0.36434 + x = 4.25770, y = 428.19555 + x = -1.63477, y = 3.81094 + x = 0.68747, y = 1.70838 + x = 3.89339, y = 307.85033 + x = 1.47067, y = 11.49244 + x = 4.67205, y = 604.94518 + x = 4.57637, y = 559.98107 + x = -0.83688, y = -0.23212 + x = -3.41519, y = 104.45230 + x = -2.46984, y = 25.77531 + x = 3.07604, y = 131.17394 + x = 0.74994, y = 2.05041 + x = -0.20808, y = -0.17192 + x = 4.55130, y = 548.62586 + x = 4.10122, y = 372.81568 + x = 4.89112, y = 718.14001 + x = 1.32066, y = 8.41020 + x = 1.02957, y = 4.30457 + x = 0.54712, y = 1.09984 + x = -4.77728, y = 429.87674 + x = 1.09502, y = 5.04481 + x = 2.96145, y = 114.62013 + x = 0.51804, y = 0.99745 + x = -2.02850, y = 10.67100 + x = -0.86647, y = -0.20256 + x = 0.31099, y = 0.44715 + x = 2.61381, y = 73.97993 + x = 0.17216, y = 0.20778 + x = -3.96795, y = 197.19691 + x = 2.91402, y = 108.25576 + x = 4.61932, y = 579.84121 + x = -1.47706, y = 2.24194 + x = -0.53998, y = -0.32083 + x = -1.12415, y = 0.31594 + x = -3.20612, y = 79.77825 + x = -1.78270, y = 5.82975 + x = 3.25757, y = 161.04686 + x = 0.34585, y = 0.52113 + x = -3.12140, y = 71.13854 + x = 3.14329, y = 141.69941 + x = 4.78055, y = 659.17593 + x = -0.85369, y = -0.21593 + x = -3.13285, y = 72.26316 + x = -4.29102, y = 274.14559 + x = 2.42716, y = 57.32205 + x = -4.84117, y = 454.42512 + x = 2.37258, y = 53.04416 + x = -3.15338, y = 74.31299 + x = 0.54525, y = 1.09305 + x = 2.32528, y = 49.53990 + x = -3.31935, y = 92.52440 + x = -3.58990, y = 129.11784 + x = 0.66191, y = 1.58199 + x = -1.87925, y = 7.48767 + x = 0.64874, y = 1.51975 + x = 0.73476, y = 1.96277 + x = 3.90521, y = 311.29454 + x = -3.18837, y = 77.90704 + x = 2.09951, y = 35.19181 + x = -1.74662, y = 5.28240 + x = -3.58552, y = 128.45040 + x = -0.76947, y = -0.28241 + x = -2.71548, y = 39.00838 + x = -1.55847, y = 2.98433 + x = -2.25039, y = 17.06393 + x = -1.07027, y = 0.16135 + x = -1.11721, y = 0.29440 + x = -0.91705, y = -0.14004 + x = -2.87586, y = 50.01212 + x = 3.94239, y = 322.32749 + x = -2.48145, y = 26.31239 + x = -0.52596, y = -0.31830 + x = -4.51568, y = 339.60355 + x = 3.22184, y = 154.79491 + x = 3.54208, y = 217.93826 + x = -0.31508, y = -0.23723 + x = -2.70046, y = 38.07941 + x = -2.60271, y = 32.42880 + x = 2.32277, y = 49.35860 + x = 3.39877, y = 187.65150 + x = 1.40579, y = 10.06575 + x = 0.80218, y = 2.37599 + x = 3.07265, y = 130.65911 + x = 2.77867, y = 91.56776 + x = 1.49954, y = 12.17630 + x = 0.38880, y = 0.62158 + x = -3.76157, y = 157.37015 + x = -3.98150, y = 200.05234 + x = -3.87376, y = 178.18405 + x = 2.86415, y = 101.85856 + x = 4.33451, y = 457.54645 + x = -0.82538, y = -0.24232 + x = -1.77829, y = 5.76075 + x = -2.06380, y = 11.54647 + x = 0.62474, y = 1.41120 + x = 0.30651, y = 0.43808 + x = -1.33801, y = 1.26191 + x = -1.35469, y = 1.36229 + x = -2.83310, y = 46.87752 + x = -2.25776, y = 17.31504 + x = 2.85929, y = 101.25014 + x = -0.02471, y = -0.02412 + x = -0.47615, y = -0.30598 + x = 2.14649, y = 37.87177 + x = -4.08051, y = 221.86756 + x = 0.87846, y = 2.92358 + x = -1.66255, y = 4.14622 + x = 2.88324, y = 104.27221 + x = 1.62121, y = 15.41873 + x = -4.74006, y = 416.04625 + x = -0.50367, y = -0.31340 + x = 2.88671, y = 104.71550 + x = -4.31461, y = 280.53048 + x = 4.23536, y = 419.92853 + x = -1.08113, y = 0.19024 + x = 2.23986, y = 43.66417 + x = -3.99118, y = 202.11137 + x = 4.34831, y = 462.97956 + x = 2.81679, y = 96.05358 + x = 2.44310, y = 58.61989 + x = -4.73226, y = 413.19116 + x = -4.76252, y = 424.35384 + x = -3.08396, y = 67.55101 + x = 4.38190, y = 476.39863 + x = -3.91689, y = 186.71071 + x = 2.54326, y = 67.29919 + x = 4.95018, y = 751.21605 + x = -1.66217, y = 4.14148 + x = 2.30234, y = 47.90572 + x = -2.33639, y = 20.16605 + x = -3.65253, y = 138.94208 + x = -0.58370, y = -0.32578 + x = 0.77608, y = 2.20857 + x = 2.06283, y = 33.20313 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.stt new file mode 100644 index 0000000..9b8097b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.175 3.694 5 2 46 6 0.0000 0.0001 0.0000 13.175 3.694 5 2 46 6 +1 0 0.0000 0.0001 0.0000 12.259 3.852 5 2 4 2 0.0000 0.0001 0.0000 12.717 3.773 5 2 46 6 +2 0 0.0000 0.0001 0.0000 12.419 4.006 12 5 5 3 0.0000 0.0001 0.0000 12.618 3.851 12 5 46 6 +3 0 0.0000 0.0001 0.0000 12.632 4.161 12 5 7 5 0.0000 0.0001 0.0000 12.621 3.928 12 5 46 6 +4 0 0.0000 0.0001 0.0000 12.901 4.299 35 7 15 7 0.0000 0.0001 0.0000 12.677 4.002 35 7 46 6 +5 0 0.0000 0.0001 0.0000 13.087 4.397 46 6 12 5 0.0000 0.0001 0.0000 12.746 4.068 46 6 46 6 +6 0 0.0000 0.0001 0.0000 13.819 4.596 46 7 4 2 0.0000 0.0001 0.0000 12.899 4.144 46 7 46 6 +7 0 0.0000 0.0003 0.0000 14.758 4.732 21 8 11 6 0.0000 0.0003 0.0000 13.131 4.217 21 8 46 6 +8 0 0.0000 0.0003 0.0000 16.837 5.009 21 8 36 7 0.0000 0.0003 0.0000 13.543 4.305 21 8 46 6 +9 0 0.0000 0.0003 0.0000 19.508 5.398 21 8 16 7 0.0000 0.0003 0.0000 14.140 4.414 21 8 46 6 +10 0 0.0000 0.0003 0.0000 23.275 5.917 21 8 105 13 0.0000 0.0003 0.0000 14.970 4.551 21 8 46 6 +11 0 0.0001 0.0003 0.0000 28.230 6.574 21 8 28 8 0.0000 0.0003 0.0000 16.075 4.719 21 8 46 6 +12 0 0.0001 0.0004 0.0000 33.755 7.244 20 7 57 10 0.0000 0.0004 0.0000 17.435 4.914 20 7 46 6 +13 0 0.0001 0.0004 0.0000 40.695 8.070 20 7 120 17 0.0000 0.0004 0.0000 19.097 5.139 20 7 46 6 +14 0 0.0001 0.0004 0.0000 46.711 8.743 20 7 53 9 0.0000 0.0004 0.0000 20.937 5.379 20 7 46 6 +15 0 0.0001 0.0004 0.0000 51.521 9.352 20 7 38 7 0.0000 0.0004 0.0000 22.849 5.628 20 7 46 6 +16 0 0.0001 0.0004 0.0000 56.270 9.836 20 7 116 17 0.0001 0.0004 0.0000 24.815 5.875 20 7 46 6 +17 0 0.0001 0.0004 0.0000 60.545 10.296 20 7 85 17 0.0001 0.0004 0.0000 26.800 6.121 20 7 46 6 +18 0 0.0001 0.0004 0.0000 64.700 10.663 20 7 111 14 0.0001 0.0004 0.0000 28.795 6.360 20 7 46 6 +19 0 0.0001 0.0004 0.0000 68.107 11.016 20 7 106 13 0.0001 0.0004 0.0000 30.760 6.593 20 7 46 6 +20 0 0.0001 0.0004 0.0000 71.811 11.314 20 7 148 15 0.0001 0.0004 0.0000 32.715 6.818 20 7 46 6 +21 0 0.0001 0.0004 0.0000 75.940 11.687 64 9 80 13 0.0001 0.0004 0.0000 34.680 7.039 64 9 46 6 +22 0 0.0001 0.0004 0.0000 80.505 12.003 64 9 105 16 0.0001 0.0004 0.0000 36.672 7.255 64 9 46 6 +23 0 0.0001 0.0005 0.0000 84.342 12.209 90 10 88 14 0.0001 0.0005 0.0000 38.658 7.461 90 10 46 6 +24 0 0.0001 0.0005 0.0000 89.747 12.540 93 10 101 13 0.0001 0.0005 0.0000 40.702 7.664 93 10 46 6 +25 0 0.0002 0.0005 0.0000 92.274 12.691 93 10 75 15 0.0001 0.0005 0.0000 42.686 7.858 93 10 46 6 +26 0 0.0002 0.0005 0.0000 93.950 12.764 82 10 108 17 0.0001 0.0005 0.0000 44.584 8.039 82 10 46 6 +27 0 0.0002 0.0005 0.0000 97.417 12.984 82 10 159 17 0.0001 0.0005 0.0000 46.471 8.216 82 10 46 6 +28 0 0.0002 0.0006 0.0000 100.797 13.157 80 10 129 16 0.0001 0.0006 0.0000 48.344 8.386 80 10 46 6 +29 0 0.0002 0.0006 0.0000 103.218 13.282 80 10 126 16 0.0001 0.0006 0.0000 50.174 8.550 80 10 46 6 +30 0 0.0002 0.0006 0.0000 105.590 13.448 79 10 138 17 0.0001 0.0006 0.0000 51.961 8.708 79 10 46 6 +31 0 0.0002 0.0006 0.0000 106.549 13.488 79 10 190 17 0.0001 0.0006 0.0000 53.667 8.857 79 10 46 6 +32 0 0.0002 0.0007 0.0000 108.574 13.607 71 9 170 17 0.0001 0.0007 0.0000 55.331 9.001 71 9 46 6 +33 0 0.0002 0.0007 0.0000 109.750 13.656 71 9 84 15 0.0001 0.0007 0.0000 56.931 9.138 71 9 46 6 +34 0 0.0002 0.0007 0.0000 111.346 13.730 76 10 156 16 0.0001 0.0007 0.0000 58.486 9.269 76 10 46 6 +35 0 0.0002 0.0007 0.0000 111.290 13.682 76 10 186 17 0.0001 0.0007 0.0000 59.953 9.392 76 10 46 6 +36 0 0.0002 0.0007 0.0000 112.169 13.729 76 10 94 13 0.0001 0.0007 0.0000 61.364 9.509 76 10 46 6 +37 0 0.0002 0.0007 0.0000 113.278 13.734 76 10 103 14 0.0001 0.0007 0.0000 62.730 9.620 76 10 46 6 +38 0 0.0002 0.0007 0.0000 115.305 13.868 75 9 173 16 0.0001 0.0007 0.0000 64.078 9.729 75 9 46 6 +39 0 0.0002 0.0008 0.0000 117.779 13.970 86 10 26 7 0.0001 0.0008 0.0000 65.421 9.835 86 10 46 6 +40 0 0.0003 0.0008 0.0000 119.027 13.995 77 9 44 9 0.0001 0.0008 0.0000 66.728 9.936 77 9 46 6 +41 0 0.0003 0.0008 0.0000 120.930 14.032 76 9 50 9 0.0001 0.0008 0.0000 68.019 10.034 76 9 46 6 +42 0 0.0003 0.0008 0.0000 124.702 14.135 76 9 109 16 0.0001 0.0008 0.0000 69.337 10.129 76 9 46 6 +43 0 0.0003 0.0008 0.0000 126.946 14.111 76 9 59 12 0.0001 0.0008 0.0000 70.646 10.220 76 9 46 6 +44 0 0.0003 0.0008 0.0000 130.898 14.265 123 13 82 11 0.0001 0.0008 0.0000 71.985 10.310 123 13 46 6 +45 0 0.0003 0.0008 0.0000 133.964 14.393 76 9 145 13 0.0001 0.0008 0.0000 73.333 10.398 76 9 46 6 +46 0 0.0003 0.0010 0.0000 138.346 14.577 148 15 155 15 0.0001 0.0010 0.0000 74.716 10.487 148 15 46 6 +47 0 0.0003 0.0010 0.0000 141.587 14.669 148 15 113 13 0.0002 0.0010 0.0000 76.109 10.574 148 15 46 6 +48 0 0.0004 0.0011 0.0000 143.616 14.725 144 12 171 15 0.0002 0.0011 0.0000 77.487 10.659 144 12 46 6 +49 0 0.0004 0.0012 0.0000 146.249 14.829 149 12 79 11 0.0002 0.0012 0.0000 78.862 10.743 149 12 46 6 +50 0 0.0004 0.0012 0.0000 147.337 14.865 150 12 189 16 0.0002 0.0012 0.0000 80.205 10.823 150 12 46 6 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.sys new file mode 100644 index 0000000..eda7a08 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_2/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 109. +creating initial population(s): + 5624 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 406399525 + freed: 405396925 + not freed: 1002600 + max allocated: 16141216 + malloc'ed blocks: 750195 + realloc'ed blocks: 12 + free'ed blocks: 750045 + +------- time ------- + overall: 6s wall + evaluation: 6s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 500 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33672 + freed: 33672 + allocated: 14000 + blocks: 27 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.bst new file mode 100644 index 0000000..2fec569 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.bst @@ -0,0 +1,34 @@ +=== BEST-OF-RUN === + generation: 20 + nodes: 37 + depth: 10 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.7401 + standardized fitness: 0.7401 + adjusted fitness: 0.5747 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (+ -0.19484 + (/ (* x + (log (* (- x x) + (+ 0.16530 + (sin (sin (* x x))))))) + (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (+ 0.16530 + (- x + (+ x + (/ x x))))) + (- -0.80591 x)))))) + (- -0.80591 x)))) -0.00404) +TREE-equ: +y = ((x * (((x * x) * ((x / x) + x)) - ((-0.19484 + ((x * log(((x - x) * (0.16530 + sin(sin((x * x))))))) / (x * (((x * x) * ((x / x) + x)) - (log((0.16530 + (x - (x + (x / x))))) + (-0.80591 - x)))))) + (-0.80591 - x)))) - -0.00404) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.fn new file mode 100644 index 0000000..9ee3e78 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * (((x * x) * ((x / x) + x)) - ((-0.19484 + ((x * log(((x - x) * (0.16530 + sin(sin((x * x))))))) / (x * (((x * x) * ((x / x) + x)) - (log((0.16530 + (x - (x + (x / x))))) + (-0.80591 - x)))))) + (-0.80591 - x)))) - -0.00404) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.his new file mode 100644 index 0000000..8434be7 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.his @@ -0,0 +1,492 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 14 + depth: 3 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 17060.4971 + standardized fitness: 17060.4971 + adjusted fitness: 0.0001 +TREE: + (* (+ (exp 0.39977) + (- x -0.78652)) + (* (+ x 0.90362) + (* x x))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 7 + depth: 2 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11957.5090 + standardized fitness: 11957.5090 + adjusted fitness: 0.0001 +TREE: + (* (/ x -0.06793) + (- -0.80591 x)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11857.4117 + standardized fitness: 11857.4117 + adjusted fitness: 0.0001 +TREE: + (+ (log (log (+ (sin (log x)) + (sin (/ (- 0.43417 x) 0.48091))))) + (* (/ x -0.06793) + (- -0.80591 x))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 20 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11857.4117 + standardized fitness: 11857.4117 + adjusted fitness: 0.0001 +TREE: + (+ (log (log (+ (sin (log x)) + (sin (/ (- 0.43417 x) 0.48091))))) + (* (/ x -0.06793) + (- -0.80591 x))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 22 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10015.9453 + standardized fitness: 10015.9453 + adjusted fitness: 0.0001 +TREE: + (* (log (* (+ -0.70499 0.47693) + (exp x))) + (+ (+ (log -0.68147) + (/ (sin -0.54630) + (exp x))) + (/ (exp x) + (cos -0.65887)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 22 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 10015.9453 + standardized fitness: 10015.9453 + adjusted fitness: 0.0001 +TREE: + (* (log (* (+ -0.70499 0.47693) + (exp x))) + (+ (+ (log -0.68147) + (/ (sin -0.54630) + (exp x))) + (/ (exp x) + (cos -0.65887)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 18 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5770.9211 + standardized fitness: 5770.9211 + adjusted fitness: 0.0002 +TREE: + (- (* x + (- (* (* x x) + (+ 0.46439 x)) + (+ (/ x -0.63827) + (cos -0.24299)))) -0.00404) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 18 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5770.9211 + standardized fitness: 5770.9211 + adjusted fitness: 0.0002 +TREE: + (- (* x + (- (* (* x x) + (+ 0.46439 x)) + (+ (/ x -0.63827) + (cos -0.24299)))) -0.00404) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 29 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3497.0596 + standardized fitness: 3497.0596 + adjusted fitness: 0.0003 +TREE: + (- (* x + (- (* (* (+ (sin (- (* (+ -0.30108 0.89641) + (sin x)) + (cos x))) x) x) + (+ 0.46439 x)) + (+ (/ x -0.63827) + (cos -0.24299)))) -0.00404) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 24 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2113.3340 + standardized fitness: 2113.3340 + adjusted fitness: 0.0005 +TREE: + (- (* x + (- (* (* (+ (sin (- 0.73957 + (cos x))) x) x) + (+ 0.46439 x)) + (+ (/ x -0.63827) + (cos -0.24299)))) -0.00404) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 29 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1522.8396 + standardized fitness: 1522.8396 + adjusted fitness: 0.0007 +TREE: + (- (* x + (- (* (* (+ (sin (- 0.73957 + (cos x))) x) x) + (+ 0.46439 x)) + (+ (/ x + (* (sin 0.49844) + (- x -0.27920))) + (cos -0.24299)))) -0.00404) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 33 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1295.4004 + standardized fitness: 1295.4004 + adjusted fitness: 0.0008 +TREE: + (- (* x + (- (* (* (+ (sin (cos 0.42098)) x) x) + (+ 0.46439 x)) + (+ (/ x -0.63827) + (+ (* (/ 0.76992 + (/ x 0.04315)) + (cos (log 0.24792))) + (+ 0.80473 x))))) -0.00404) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 34 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1294.6381 + standardized fitness: 1294.6381 + adjusted fitness: 0.0008 +TREE: + (- (* x + (- (* (* (+ (sin (cos 0.42098)) x) x) + (+ 0.46439 x)) + (+ (/ x -0.63827) + (+ (* (/ 0.76992 + (/ x 0.04315)) + (cos (/ 0.93682 0.25583))) + (+ 0.80473 x))))) -0.00404) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 20 + depth: 6 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 78.6914 + standardized fitness: 78.6914 + adjusted fitness: 0.0125 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log -0.71864) + (- -0.80591 x)))) -0.00404) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 26 + depth: 8 + hits: 20 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 20 + raw fitness: 9.3895 + standardized fitness: 9.3895 + adjusted fitness: 0.0963 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (+ 0.16530 + (- x + (+ x 0.97547)))) + (- -0.80591 x)))) -0.00404) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 28 + depth: 9 + hits: 23 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 23 + raw fitness: 9.3000 + standardized fitness: 9.3000 + adjusted fitness: 0.0971 +TREE: + (- (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (+ 0.16530 + (- x + (+ x 0.97547)))) + (- -0.80591 x)))) -0.00404) -0.00404) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 26 + depth: 7 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 6.9147 + standardized fitness: 6.9147 + adjusted fitness: 0.1263 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (+ -0.19484 + (/ (sin -0.03129) + (+ -0.29602 x))) + (- -0.80591 x)))) -0.00404) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 21 + depth: 6 + hits: 40 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 40 + raw fitness: 4.1787 + standardized fitness: 4.1787 + adjusted fitness: 0.1931 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (cos -0.59285)) + (- -0.80591 x)))) -0.00404) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 49 + depth: 14 + hits: 160 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 160 + raw fitness: 2.1377 + standardized fitness: 2.1377 + adjusted fitness: 0.3187 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (+ -0.19484 + (/ (sin -0.03129) + (+ -0.29602 + (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (+ 0.16530 + (- x + (+ x 0.97547)))) + (- -0.80591 x))))))) + (- -0.80591 x)))) -0.00404) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 66 + depth: 16 + hits: 163 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 163 + raw fitness: 1.4148 + standardized fitness: 1.4148 + adjusted fitness: 0.4141 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (+ -0.19484 + (/ (sin -0.03129) + (+ -0.29602 + (* x + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (+ 0.16530 + (- x + (+ x 0.97547)))) + (- (/ x x) x)))) + (+ (log (+ 0.16530 + (- x + (+ x 0.97547)))) + (- -0.80591 x))))))) + (- -0.80591 x)))) -0.00404) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 37 + depth: 10 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.7401 + standardized fitness: 0.7401 + adjusted fitness: 0.5747 +TREE: + (- (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (+ -0.19484 + (/ (* x + (log (* (- x x) + (+ 0.16530 + (sin (sin (* x x))))))) + (* x + (- (* (* x x) + (+ (/ x x) x)) + (+ (log (+ 0.16530 + (- x + (+ x + (/ x x))))) + (- -0.80591 x)))))) + (- -0.80591 x)))) -0.00404) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.prg new file mode 100644 index 0000000..5b21a93 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 4.53232, y = 540.14615 + x = -1.29303, y = 1.01239 + x = 3.80478, y = 282.92601 + x = 3.63803, y = 240.19550 + x = -4.20657, y = 252.17439 + x = 2.10788, y = 35.65839 + x = 2.07817, y = 34.02436 + x = -2.71845, y = 39.19367 + x = 3.86003, y = 298.27921 + x = 1.10803, y = 5.20338 + x = -1.33986, y = 1.27286 + x = 4.36008, y = 467.64702 + x = -3.46133, y = 110.58911 + x = 2.01563, y = 30.77328 + x = -0.53329, y = -0.31968 + x = -4.74054, y = 416.22064 + x = 1.13774, y = 5.58055 + x = -0.13114, y = -0.11590 + x = 3.18747, y = 148.95724 + x = -2.02623, y = 10.61642 + x = -3.04106, y = 63.60930 + x = -2.68804, y = 37.32387 + x = 4.21759, y = 413.44224 + x = -2.63088, y = 33.98845 + x = -3.38374, y = 100.41909 + x = -4.62735, y = 376.19030 + x = 3.55149, y = 220.04917 + x = -4.81784, y = 445.34006 + x = 0.84245, y = 2.65381 + x = 2.04460, y = 32.24792 + x = -2.79546, y = 44.24180 + x = -4.71722, y = 407.72397 + x = -1.02305, y = 0.04826 + x = 3.23326, y = 156.77278 + x = -2.51765, y = 28.03999 + x = -2.70249, y = 38.20393 + x = -2.88068, y = 50.37506 + x = -4.08946, y = 223.92427 + x = -3.56720, y = 125.68903 + x = -0.45847, y = -0.30046 + x = 2.01766, y = 30.87491 + x = -0.86210, y = -0.20724 + x = -4.95349, y = 500.10568 + x = 4.98907, y = 773.61424 + x = -0.43222, y = -0.29125 + x = -1.19455, y = 0.56401 + x = -4.58207, y = 361.01478 + x = -4.55442, y = 351.97817 + x = -3.36028, y = 97.48573 + x = -3.15077, y = 74.04989 + x = -3.96186, y = 195.92188 + x = -3.37555, y = 99.38794 + x = 4.19916, y = 406.79532 + x = -0.76549, y = -0.28470 + x = 4.41435, y = 489.64538 + x = 4.24953, y = 425.15892 + x = 4.73002, y = 633.48239 + x = -4.42847, y = 312.94101 + x = 1.15568, y = 5.81860 + x = 3.49592, y = 207.80618 + x = -0.01144, y = -0.01131 + x = 1.16763, y = 5.98167 + x = -4.15125, y = 238.51447 + x = -0.68150, y = -0.31787 + x = 4.09037, y = 369.18793 + x = 4.52224, y = 535.68317 + x = 4.31356, y = 449.39646 + x = -3.45039, y = 109.11150 + x = -2.55215, y = 29.76320 + x = -4.33874, y = 287.17916 + x = 4.84153, y = 691.22235 + x = 0.69216, y = 1.73237 + x = -1.77087, y = 5.64602 + x = 1.33824, y = 8.73304 + x = -3.06437, y = 65.72946 + x = -4.66550, y = 389.34722 + x = -1.88720, y = 7.63749 + x = -0.01692, y = -0.01664 + x = -2.04523, y = 11.07986 + x = -2.63328, y = 34.12369 + x = -4.35736, y = 292.38913 + x = 2.97996, y = 117.18034 + x = -0.97351, y = -0.05022 + x = 2.34654, y = 51.09192 + x = -2.94396, y = 55.32326 + x = 1.03691, y = 4.38293 + x = 4.43403, y = 497.81008 + x = 4.65845, y = 598.39451 + x = 4.14289, y = 387.00010 + x = -2.03989, y = 10.94805 + x = -2.01605, y = 10.37419 + x = -4.43029, y = 313.47847 + x = 3.46269, y = 200.73718 + x = -4.22846, y = 257.73672 + x = -0.30000, y = -0.22890 + x = -3.67450, y = 142.51752 + x = -4.09123, y = 224.33359 + x = -1.29173, y = 1.00560 + x = 3.05344, y = 127.77325 + x = -0.76672, y = -0.28401 + x = -4.30735, y = 278.55330 + x = 0.43486, y = 0.74195 + x = 2.49081, y = 62.63981 + x = 4.27300, y = 433.92410 + x = -3.79340, y = 163.07956 + x = -1.94182, y = 8.72479 + x = 2.59796, y = 72.43656 + x = -3.14738, y = 73.70942 + x = -2.82153, y = 46.05531 + x = -1.62255, y = 3.66946 + x = 4.81550, y = 677.40506 + x = -4.92843, y = 489.62997 + x = -3.57137, y = 126.31282 + x = -1.80443, y = 6.17778 + x = 0.51197, y = 0.97699 + x = -0.58115, y = -0.32562 + x = 2.70494, y = 83.34698 + x = -4.92279, y = 487.29125 + x = 4.61849, y = 579.45337 + x = 2.76487, y = 89.98392 + x = 3.61347, y = 234.34117 + x = 0.60529, y = 1.32767 + x = -1.50384, y = 2.47120 + x = 3.21457, y = 153.54623 + x = 4.96861, y = 761.76550 + x = -0.59333, y = -0.32623 + x = 3.20135, y = 151.29346 + x = -1.04387, y = 0.09569 + x = 0.13165, y = 0.15156 + x = 3.87745, y = 303.24723 + x = -2.26347, y = 17.51146 + x = -3.73982, y = 153.55600 + x = -2.19539, y = 15.27301 + x = 4.57732, y = 560.41337 + x = -2.44878, y = 24.82187 + x = -4.42893, y = 313.07561 + x = 1.55133, y = 13.48321 + x = -4.16908, y = 242.85551 + x = -3.16544, y = 75.53713 + x = 2.63719, y = 76.30165 + x = 3.33197, y = 174.67979 + x = 4.35682, y = 466.34914 + x = -4.96004, y = 502.87416 + x = -3.62198, y = 134.08226 + x = -0.65335, y = -0.32316 + x = 2.37865, y = 53.50797 + x = 2.07355, y = 33.77515 + x = -4.75188, y = 420.40175 + x = -4.19706, y = 249.78597 + x = -4.70667, y = 403.92442 + x = -1.87585, y = 7.42421 + x = 1.95264, y = 27.74776 + x = 3.57663, y = 225.76420 + x = 4.17599, y = 398.55520 + x = -3.50325, y = 116.39604 + x = 4.43248, y = 497.16152 + x = -2.36975, y = 21.47454 + x = 2.91349, y = 108.18646 + x = 1.72178, y = 18.57899 + x = -4.36448, y = 294.39789 + x = 1.50685, y = 12.35458 + x = 1.76704, y = 20.15657 + x = -4.98194, y = 512.20706 + x = -0.45872, y = -0.30054 + x = 0.04548, y = 0.04765 + x = -4.54131, y = 347.75342 + x = -4.96839, y = 506.41740 + x = -4.94939, y = 498.37905 + x = 3.84892, y = 295.14124 + x = 3.13332, y = 140.09995 + x = 2.34530, y = 51.00080 + x = 2.45682, y = 59.75485 + x = 4.27428, y = 434.40534 + x = 4.32516, y = 453.89672 + x = -0.35928, y = -0.25991 + x = -3.33917, y = 94.90259 + x = 2.02866, y = 31.43017 + x = -0.67983, y = -0.31826 + x = 1.71782, y = 18.44583 + x = -4.46387, y = 323.56546 + x = -3.22357, y = 81.65190 + x = -4.71215, y = 405.89400 + x = 2.23435, y = 43.30471 + x = -0.50388, y = -0.31345 + x = -2.62940, y = 33.90549 + x = 0.96949, y = 3.70408 + x = -3.75788, y = 156.71761 + x = 3.26333, y = 162.07280 + x = -0.46816, y = -0.30356 + x = -2.90747, y = 52.42754 + x = -4.46054, y = 322.55362 + x = 1.50071, y = 12.20480 + x = -3.01800, y = 61.56279 + x = -1.29876, y = 1.04250 + x = -4.70811, y = 404.44310 + x = -4.12485, y = 232.19783 + x = -4.91746, y = 485.09479 + x = -4.28521, y = 272.58801 + x = 1.73730, y = 19.10872 + x = -2.31418, y = 19.32859 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.stt new file mode 100644 index 0000000..0e6de46 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.stt @@ -0,0 +1,22 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.975 3.669 14 3 32 5 0.0000 0.0001 0.0000 12.975 3.669 14 3 32 5 +1 0 0.0000 0.0001 0.0000 12.263 3.852 7 2 18 8 0.0000 0.0001 0.0000 12.619 3.760 7 2 18 8 +2 0 0.0000 0.0001 0.0000 12.387 4.023 20 7 4 2 0.0000 0.0001 0.0000 12.541 3.848 20 7 4 2 +3 0 0.0000 0.0001 0.0000 12.618 4.195 20 7 50 9 0.0000 0.0001 0.0000 12.561 3.935 20 7 4 2 +4 0 0.0000 0.0001 0.0000 12.953 4.365 22 5 16 5 0.0000 0.0001 0.0000 12.639 4.021 22 5 4 2 +5 0 0.0000 0.0001 0.0000 13.505 4.555 22 5 5 3 0.0000 0.0001 0.0000 12.783 4.110 22 5 4 2 +6 0 0.0000 0.0002 0.0000 13.373 4.560 18 5 8 3 0.0000 0.0002 0.0000 12.868 4.174 18 5 4 2 +7 0 0.0000 0.0002 0.0000 13.903 4.695 18 5 27 8 0.0000 0.0002 0.0000 12.997 4.239 18 5 4 2 +8 0 0.0000 0.0003 0.0000 14.367 4.824 29 10 28 7 0.0000 0.0003 0.0000 13.149 4.304 29 10 4 2 +9 0 0.0000 0.0005 0.0000 15.177 5.031 24 9 33 8 0.0000 0.0005 0.0000 13.352 4.377 24 9 4 2 +10 0 0.0000 0.0007 0.0000 16.342 5.294 29 9 16 5 0.0000 0.0007 0.0000 13.624 4.460 29 9 4 2 +11 0 0.0000 0.0008 0.0000 18.186 5.782 33 8 16 4 0.0000 0.0008 0.0000 14.004 4.570 33 8 4 2 +12 0 0.0001 0.0008 0.0000 21.566 6.615 34 8 28 8 0.0000 0.0008 0.0000 14.586 4.728 34 8 4 2 +13 0 0.0001 0.0125 0.0000 25.833 7.689 20 6 41 12 0.0000 0.0125 0.0000 15.389 4.939 20 6 4 2 +14 0 0.0002 0.0963 0.0000 29.800 8.699 26 8 41 15 0.0001 0.0963 0.0000 16.350 5.190 26 8 4 2 +15 0 0.0008 0.0971 0.0000 31.817 9.093 28 9 60 14 0.0001 0.0971 0.0000 17.317 5.434 28 9 4 2 +16 0 0.0041 0.1263 0.0000 28.701 8.182 26 7 79 14 0.0003 0.1263 0.0000 17.986 5.596 26 7 4 2 +17 0 0.0085 0.1931 0.0000 27.730 7.925 21 6 32 9 0.0008 0.1931 0.0000 18.528 5.725 21 6 4 2 +18 0 0.0108 0.3187 0.0000 29.903 8.126 49 14 33 10 0.0013 0.3187 0.0000 19.126 5.851 49 14 4 2 +19 0 0.0249 0.4141 0.0000 40.300 9.088 66 16 34 9 0.0025 0.4141 0.0000 20.185 6.013 66 16 4 2 +20 0 0.0515 0.5747 0.0000 57.849 10.842 37 10 44 12 0.0048 0.5747 0.0000 21.978 6.243 37 10 4 2 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.sys new file mode 100644 index 0000000..7988ed4 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_3/regress.sys @@ -0,0 +1,113 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 160. +creating initial population(s): + 5563 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 53571499 + freed: 53170459 + not freed: 401040 + max allocated: 6146216 + malloc'ed blocks: 310484 + realloc'ed blocks: 9 + free'ed blocks: 310424 + +------- time ------- + overall: 1s wall + evaluation: 1s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 20981 + freed: 20981 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.bst new file mode 100644 index 0000000..5dcbf2c --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.bst @@ -0,0 +1,41 @@ +=== BEST-OF-RUN === + generation: 45 + nodes: 104 + depth: 17 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0358 + standardized fitness: 0.0358 + adjusted fitness: 0.9654 +TREE: + (+ (+ (* (* x + (+ (cos (log (* (log (- x x)) + (/ 0.33890 x)))) x)) + (* x x)) + (/ (* (/ (cos (* (+ (sin (/ (cos x) + (* (exp (log (- x + (/ (* (* x x) 0.59394) 0.58310)))) + (- (cos x) + (- 0.30709 -0.48089))))) 0.26713) + (/ 0.76775 + (/ 0.76775 + (exp (cos 0.20212)))))) + (- (+ (log 0.16742) + (* x + (/ x + (cos 0.40038)))) + (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))))) 0.59394) + (/ (exp (exp (exp (cos 0.20212)))) 0.32863))) + (* x + (+ (cos (sin (log -0.98785))) x))) +TREE-equ: +y = ((((x * (cos(log((log((x - x)) * (0.33890 / x)))) + x)) * (x * x)) + (((cos(((sin((cos(x) / (exp(log((x - (((x * x) * 0.59394) / 0.58310)))) * (cos(x) - (0.30709 - -0.48089))))) + 0.26713) * (0.76775 / (0.76775 / exp(cos(0.20212)))))) / ((log(0.16742) + (x * (x / cos(0.40038)))) - (((x * (cos(log(0.94330)) + x)) * (x * x)) + (((0.32863 + x) * 0.59394) / (exp(0.76775) / 0.32863))))) * 0.59394) / (exp(exp(exp(cos(0.20212)))) / 0.32863))) + (x * (cos(sin(log(-0.98785))) + x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.fn new file mode 100644 index 0000000..1e68fd8 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.fn @@ -0,0 +1,2 @@ + +y = ((((x * (cos(log((log((x - x)) * (0.33890 / x)))) + x)) * (x * x)) + (((cos(((sin((cos(x) / (exp(log((x - (((x * x) * 0.59394) / 0.58310)))) * (cos(x) - (0.30709 - -0.48089))))) + 0.26713) * (0.76775 / (0.76775 / exp(cos(0.20212)))))) / ((log(0.16742) + (x * (x / cos(0.40038)))) - (((x * (cos(log(0.94330)) + x)) * (x * x)) + (((0.32863 + x) * 0.59394) / (exp(0.76775) / 0.32863))))) * 0.59394) / (exp(exp(exp(cos(0.20212)))) / 0.32863))) + (x * (cos(sin(log(-0.98785))) + x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.his new file mode 100644 index 0000000..1621c23 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.his @@ -0,0 +1,1371 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 21 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8863.8378 + standardized fitness: 8863.8378 + adjusted fitness: 0.0001 +TREE: + (/ (+ (- (sin 0.41102) + (log x)) + (exp (- x -0.82897))) + (* (exp (+ -0.92590 0.32130)) + (+ (sin -0.12994) + (cos -0.59508)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 13 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8108.3909 + standardized fitness: 8108.3909 + adjusted fitness: 0.0001 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp 0.16054)) + (* x + (cos 0.40038)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 20 + depth: 10 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 4034.7174 + standardized fitness: 4034.7174 + adjusted fitness: 0.0002 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp (cos (cos (+ (exp x) + (/ 0.33890 x)))))) + (* x + (cos 0.40038)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 20 + depth: 10 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 4034.7174 + standardized fitness: 4034.7174 + adjusted fitness: 0.0002 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp (cos (cos (+ (exp x) + (/ 0.33890 x)))))) + (* x + (cos 0.40038)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 20 + depth: 10 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 4034.7174 + standardized fitness: 4034.7174 + adjusted fitness: 0.0002 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp (cos (cos (+ (exp x) + (/ 0.33890 x)))))) + (* x + (cos 0.40038)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 22 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3202.6431 + standardized fitness: 3202.6431 + adjusted fitness: 0.0003 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp (cos (cos (+ 0.33255 + (+ (log 0.39851) + (- x x))))))) + (* x + (cos 0.40038)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 19 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2990.8027 + standardized fitness: 2990.8027 + adjusted fitness: 0.0003 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp (cos (cos (/ (/ -0.70007 -0.87439) x))))) + (* x + (cos 0.40038)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 20 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2357.5345 + standardized fitness: 2357.5345 + adjusted fitness: 0.0004 +TREE: + (exp (/ (log (+ (/ 0.76775 + (exp (cos (cos (+ (log x) + (/ 0.33890 x)))))) + (* x + (exp -0.05970)))) 0.24268)) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 9 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 1670.0140 + standardized fitness: 1670.0140 + adjusted fitness: 0.0006 +TREE: + (* (* (- x -0.87148) x) + (* x x)) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 9 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 1670.0140 + standardized fitness: 1670.0140 + adjusted fitness: 0.0006 +TREE: + (* (* (- x -0.87148) x) + (* x x)) +=== BEST-OF-RUN === + current generation: 10 + generation: 8 + nodes: 9 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 1670.0140 + standardized fitness: 1670.0140 + adjusted fitness: 0.0006 +TREE: + (* (* (- x -0.87148) x) + (* x x)) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 63 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1472.0383 + standardized fitness: 1472.0383 + adjusted fitness: 0.0007 +TREE: + (+ (+ (- (* (* x + (+ (cos (exp (cos x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (log (+ (+ x -0.68212) + (/ -0.08893 -0.58423)))) + (cos x))))) + (/ (* (/ 0.50585 x) 0.59394) + (/ (cos 0.78785) + (+ x + (log x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 65 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1389.1929 + standardized fitness: 1389.1929 + adjusted fitness: 0.0007 +TREE: + (+ (+ (- (* (* x + (+ (cos (exp (cos x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (log (+ (+ x -0.68212) + (/ -0.08893 -0.58423)))) + (cos x))))) + (/ (* (/ 0.50585 x) 0.59394) + (/ (cos 0.76775) + (+ (cos (log 0.53738)) + (log x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 63 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 865.7984 + standardized fitness: 865.7984 + adjusted fitness: 0.0012 +TREE: + (+ (+ (- (* (* x + (+ (cos (exp (cos x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (log (+ (+ x -0.68212) + (/ -0.08893 -0.58423)))) + (cos x))))) + (/ (+ x 0.50681) + (/ (cos 0.76775) + (+ (cos (log 0.53738)) + (log x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 14 + generation: 13 + nodes: 63 + depth: 10 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 865.7984 + standardized fitness: 865.7984 + adjusted fitness: 0.0012 +TREE: + (+ (+ (- (* (* x + (+ (cos (exp (cos x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (log (+ (+ x -0.68212) + (/ -0.08893 -0.58423)))) + (cos x))))) + (/ (+ x 0.50681) + (/ (cos 0.76775) + (+ (cos (log 0.53738)) + (log x))))) + (sin x)) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 64 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 538.3918 + standardized fitness: 538.3918 + adjusted fitness: 0.0019 +TREE: + (+ (+ (- (* (* x + (+ (cos (- x + (+ 0.32863 x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (cos 0.40038)) + (cos x))))) + (* (+ (/ (log -0.05970) -0.48684) + (exp (log (log (exp (* (log (exp 0.16447)) + (+ x -0.06469))))))) 0.59394)) + (sin x)) +=== BEST-OF-RUN === + current generation: 16 + generation: 15 + nodes: 64 + depth: 11 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 538.3918 + standardized fitness: 538.3918 + adjusted fitness: 0.0019 +TREE: + (+ (+ (- (* (* x + (+ (cos (- x + (+ 0.32863 x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (cos 0.40038)) + (cos x))))) + (* (+ (/ (log -0.05970) -0.48684) + (exp (log (log (exp (* (log (exp 0.16447)) + (+ x -0.06469))))))) 0.59394)) + (sin x)) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 63 + depth: 11 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 404.3480 + standardized fitness: 404.3480 + adjusted fitness: 0.0025 +TREE: + (+ (+ (- (* (* x + (+ (cos (- x + (+ 0.32863 x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (* (exp (/ (* -0.58853 x) + (log x))) + (cos 0.40038)) + (cos x))))) + (* (+ (* x x) + (exp (log (log (exp (* (log (exp 0.16447)) + (+ x -0.06469))))))) 0.59394)) + (sin x)) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 73 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 361.0950 + standardized fitness: 361.0950 + adjusted fitness: 0.0028 +TREE: + (+ (+ (- (* (* x + (+ (cos (- x + (+ 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x)) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 90 + depth: 15 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 298.6695 + standardized fitness: 298.6695 + adjusted fitness: 0.0033 +TREE: + (+ (+ (- (* (* x + (+ (cos (- x + (+ 0.32863 x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) + (+ (exp x) + (* -0.79930 x))) + (cos (* (cos (log (+ (/ 0.76775 + (exp (cos 0.61035))) + (* x + (- 0.02411 0.96070))))) + (cos x))))) + (* (log (* (+ (log x) + (- (* x + (/ x 0.68630)) + (cos (- (+ (/ -0.08893 -0.58423) + (+ (cos (/ (* x + (exp -0.05970)) x)) + (* x + (cos 0.40038)))) + (cos (+ (exp (log (log 0.94048))) 0.26713)))))) + (* x x))) 0.59394)) + (sin x)) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 87 + depth: 13 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 272.4054 + standardized fitness: 272.4054 + adjusted fitness: 0.0037 +TREE: + (+ (+ (- (* (* x + (+ (cos (- x + (+ 0.32863 x))) x)) + (* x x)) 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94 + depth: 14 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 115.5039 + standardized fitness: 115.5039 + adjusted fitness: 0.0086 +TREE: + (+ (+ (- (* (* x + (+ (cos (+ (/ (exp (cos (log (cos x)))) + (- (+ (/ 0.76775 + (exp (cos 0.20212))) + (* x + (/ x 0.68630))) x)) + (/ 0.33890 x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) x) + (cos (* (cos (+ (/ (sin (* (/ (sin -0.79677) + (- x x)) + (cos (cos 0.40038)))) -0.97232) + (+ (cos (sin (- x 0.29125))) + (sin (log (+ (exp 0.51091) 0.22707)))))) + (cos x))))) + (/ (* (/ 0.50585 x) 0.59394) + (/ (exp 0.76775) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 106 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 110.1500 + standardized fitness: 110.1500 + adjusted fitness: 0.0090 +TREE: + (+ (+ (- (* (* x + (+ (cos (+ (/ (exp (cos (- x + (+ 0.32863 x)))) + (- (+ (/ 0.76775 + (exp (cos 0.20212))) + (* x + (/ x 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0.32863))) + (* x + (+ (cos (cos (cos 0.78785))) x))) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 80 + depth: 17 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 99.7587 + standardized fitness: 99.7587 + adjusted fitness: 0.0099 +TREE: + (+ (+ (- (* (* x + (+ (cos (+ (/ (exp (cos (log (cos x)))) + (- (+ (/ 0.76775 + (exp (- (+ x -0.68212) + (cos (* (cos 0.40038) + (cos x)))))) + (* x + (/ x 0.68630))) + (sin (log 0.16742)))) + (/ 0.33890 x))) x)) + (* x x)) + (- (* (- x + (+ 0.32863 x)) x) + (cos (log (+ (+ x -0.68212) + (/ -0.08893 -0.58423)))))) + (/ (* (/ 0.50585 x) 0.59394) + (/ (exp 0.76775) 0.32863))) + (* x + (+ (cos (cos (cos 0.78785))) x))) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 82 + depth: 16 + hits: 9 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 9 + raw fitness: 75.9677 + standardized fitness: 75.9677 + adjusted fitness: 0.0130 +TREE: + (+ (+ (- (* (* x + (+ (cos (+ (/ (exp (cos (log (cos x)))) + (- 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BEST-OF-RUN === + current generation: 32 + generation: 32 + nodes: 65 + depth: 14 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 65.8455 + standardized fitness: 65.8455 + adjusted fitness: 0.0150 +TREE: + (+ (+ (- (* (* x + (+ (cos (+ (/ (exp (cos (- x 0.59394))) + (- (+ (/ 0.76775 + (exp (cos 0.20212))) + (* x + (/ x 0.68630))) + (sin (log 0.16742)))) + (/ 0.33890 x))) x)) + (* x x)) + (sin (/ -0.62351 x))) + (/ (* (/ 0.50585 x) + (- x + (+ 0.32863 x))) + (/ (exp 0.76775) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 33 + generation: 33 + nodes: 88 + depth: 17 + hits: 4 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 4 + raw fitness: 55.7549 + standardized fitness: 55.7549 + adjusted fitness: 0.0176 +TREE: + (+ (+ (- (* (* x + (+ (cos (+ (/ (exp (cos (log (cos x)))) + (- (+ (/ 0.76775 + (exp (- (+ x -0.68212) + (cos (* (cos 0.40038) + (cos x)))))) + (* x + (/ x 0.68630))) + (sin (log 0.16742)))) + (/ 0.33890 x))) x)) + 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0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 36 + generation: 36 + nodes: 33 + depth: 7 + hits: 19 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 19 + raw fitness: 9.1298 + standardized fitness: 9.1298 + adjusted fitness: 0.0987 +TREE: + (+ (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 37 + generation: 37 + nodes: 38 + depth: 11 + hits: 24 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 24 + raw fitness: 7.9281 + standardized fitness: 7.9281 + adjusted fitness: 0.1120 +TREE: + (+ (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))) + (* x + (+ (cos (/ 0.76775 + (exp (cos (cos (sin (* (log -0.00230) 0.32863))))))) x))) +=== BEST-OF-RUN === + current generation: 38 + generation: 38 + nodes: 34 + depth: 7 + hits: 57 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 57 + raw fitness: 5.4993 + standardized fitness: 5.4993 + adjusted fitness: 0.1539 +TREE: + (+ (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp (cos 0.20212)) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 39 + generation: 39 + nodes: 32 + depth: 7 + hits: 53 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 53 + raw fitness: 4.5584 + standardized fitness: 4.5584 + adjusted fitness: 0.1799 +TREE: + (+ (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* x 0.59394) + (/ (exp (cos 0.20212)) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 40 + generation: 39 + nodes: 32 + depth: 7 + hits: 53 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 53 + raw fitness: 4.5584 + standardized fitness: 4.5584 + adjusted fitness: 0.1799 +TREE: + (+ (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* x 0.59394) + (/ (exp (cos 0.20212)) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 41 + generation: 39 + nodes: 32 + depth: 7 + hits: 53 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 53 + raw fitness: 4.5584 + standardized fitness: 4.5584 + adjusted fitness: 0.1799 +TREE: + (+ (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* x 0.59394) + (/ (exp (cos 0.20212)) 0.32863))) + (* x + (+ (cos (- x + (+ 0.32863 x))) x))) +=== BEST-OF-RUN === + current generation: 42 + generation: 42 + nodes: 62 + depth: 15 + hits: 41 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 41 + raw fitness: 3.9402 + standardized fitness: 3.9402 + adjusted fitness: 0.2024 +TREE: + (+ (+ (* (* x + (+ (+ (log (cos (- x x))) + (cos -0.01177)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))) + (* x + (+ (cos (/ 0.76775 + (exp (cos (cos (sin (+ (/ (exp (cos (log (* -0.79930 x)))) + (- (- x x) + (- (/ (exp 0.76775) 0.32863) + (sin (log 0.16742))))) + (/ 0.33890 x)))))))) x))) +=== BEST-OF-RUN === + current generation: 43 + generation: 43 + nodes: 95 + depth: 12 + hits: 169 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 169 + raw fitness: 0.8629 + standardized fitness: 0.8629 + adjusted fitness: 0.5368 +TREE: + (+ (+ (* (* x + (+ (cos (log (* (log (- x x)) + (/ 0.33890 x)))) x)) + (* x x)) + (/ (* (/ (cos (* (+ (sin (* (/ (sin -0.79677) + (- x x)) + (cos 0.78785))) 0.26713) + (/ 0.76775 + (/ 0.76775 + (exp (cos 0.20212)))))) + (- (+ (log 0.16742) + (* x + (/ x + (cos 0.40038)))) + (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))))) 0.59394) + (/ (exp (exp (cos (cos (/ (exp 0.76775) x))))) 0.32863))) + (* x + (+ (cos (sin (log -0.98785))) x))) +=== BEST-OF-RUN === + current generation: 44 + generation: 44 + nodes: 105 + depth: 13 + hits: 182 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 182 + raw fitness: 0.5474 + standardized fitness: 0.5474 + adjusted fitness: 0.6463 +TREE: + (+ (+ (* (* x + (+ (cos (log (* (log (- x x)) + (/ 0.33890 x)))) x)) + (* x x)) + (/ (* (/ (cos (* (+ (sin (* (/ (sin -0.79677) + (- x x)) + (cos 0.78785))) 0.26713) + (/ 0.76775 + (/ 0.76775 + (exp (cos 0.20212)))))) + (- (+ (log 0.16742) + (/ (* (/ (* (* x x) + (cos (cos 0.40038))) x) 0.59394) + (/ (exp 0.76775) 0.32863))) + (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))))) 0.59394) + (/ (exp (exp (cos (cos (/ (exp 0.76775) x))))) 0.32863))) + (* x + (+ (cos (sin (log -0.98785))) x))) +=== BEST-OF-RUN === + current generation: 45 + generation: 45 + nodes: 104 + depth: 17 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0358 + standardized fitness: 0.0358 + adjusted fitness: 0.9654 +TREE: + (+ (+ (* (* x + (+ (cos (log (* (log (- x x)) + (/ 0.33890 x)))) x)) + (* x x)) + (/ (* (/ (cos (* (+ (sin (/ (cos x) + (* (exp (log (- x + (/ (* (* x x) 0.59394) 0.58310)))) + (- (cos x) + (- 0.30709 -0.48089))))) 0.26713) + (/ 0.76775 + (/ 0.76775 + (exp (cos 0.20212)))))) + (- (+ (log 0.16742) + (* x + (/ x + (cos 0.40038)))) + (+ (* (* x + (+ (cos (log 0.94330)) x)) + (* x x)) + (/ (* (+ 0.32863 x) 0.59394) + (/ (exp 0.76775) 0.32863))))) 0.59394) + (/ (exp (exp (exp (cos 0.20212)))) 0.32863))) + (* x + (+ (cos (sin (log -0.98785))) x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.prg new file mode 100644 index 0000000..79b5f51 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.00943, y = 0.00952 + x = 4.30436, y = 445.84978 + x = -1.21118, y = 0.63099 + x = 1.13232, y = 5.51021 + x = 4.13424, y = 384.02245 + x = 2.70733, y = 83.60459 + x = 3.40759, y = 189.41854 + x = 4.39512, y = 481.76184 + x = 0.27680, y = 0.38050 + x = 2.80655, y = 94.83233 + x = -1.58274, y = 3.23281 + x = 4.06582, y = 361.07842 + x = -1.84526, y = 6.87049 + x = -3.11468, y = 70.48402 + x = 3.95024, y = 324.69171 + x = 1.41871, y = 10.33799 + x = -2.80673, y = 45.01874 + x = 0.98475, y = 3.84978 + x = -0.03070, y = -0.02979 + x = -0.64546, y = -0.32418 + x = -4.77154, y = 427.72290 + x = 3.82344, y = 288.04313 + x = -0.28149, y = -0.21828 + x = 0.10718, y = 0.12004 + x = 4.46625, y = 511.39987 + x = -0.14170, y = -0.12407 + x = 2.25379, y = 44.58340 + x = -1.12745, y = 0.32634 + x = 0.49552, y = 0.92303 + x = -3.50513, y = 116.66137 + x = 2.17837, y = 39.77875 + x = -0.86814, y = -0.20075 + x = 4.60625, y = 573.73918 + x = -3.04591, y = 64.04628 + x = -2.04399, y = 11.04919 + x = 0.66230, y = 1.58384 + x = 0.40158, y = 0.65361 + x = -3.07629, y = 66.83331 + x = -0.53517, y = -0.32001 + x = -0.77879, y = -0.27677 + x = -3.96475, y = 196.52642 + x = -1.89889, y = 7.86166 + x = -3.28899, y = 88.96672 + x = 1.77389, y = 20.40404 + x = -0.94251, y = -0.10231 + x = 1.81607, y = 21.98123 + x = 2.09067, y = 34.70451 + x = -1.29962, y = 1.04711 + x = -0.24549, y = -0.19639 + x = -3.41069, y = 103.86840 + x = 4.02543, y = 348.03100 + x = -0.42793, y = -0.28963 + x = -3.85226, y = 174.04312 + x = 3.35647, y = 179.35532 + x = -2.95581, y = 56.28879 + x = -4.12243, y = 231.62404 + x = 4.69811, y = 617.65378 + x = -3.16527, y = 75.51997 + x = -1.82368, y = 6.49801 + x = -1.52806, y = 2.69097 + x = -2.69425, y = 37.69987 + x = 1.48388, y = 11.80150 + x = -0.06971, y = -0.06517 + x = -3.94441, y = 192.30784 + x = 1.77130, y = 20.31019 + x = -4.68385, y = 395.79240 + x = 2.35480, y = 51.70569 + x = 1.38085, y = 9.55631 + x = 2.82783, y = 97.38412 + x = -2.86583, y = 49.26336 + x = 4.32804, y = 455.01616 + x = 3.49290, y = 207.15619 + x = -3.76976, y = 158.82420 + x = -1.62001, y = 3.64046 + x = 0.32910, y = 0.48479 + x = 0.65639, y = 1.55565 + x = 2.67570, y = 80.24830 + x = 1.36204, y = 9.18560 + x = -1.93700, y = 8.62472 + x = 3.58867, y = 228.54213 + x = 0.16018, y = 0.19061 + x = 0.41906, y = 0.69909 + x = -4.30376, y = 277.58111 + x = -2.97642, y = 57.99755 + x = 4.18912, y = 403.20794 + x = -4.30551, y = 278.05360 + x = 4.20157, y = 407.66137 + x = 3.55065, y = 219.86148 + x = 0.18279, y = 0.22343 + x = -2.36015, y = 21.09157 + x = 3.30749, y = 170.10186 + x = 4.02073, y = 346.53389 + x = -0.90412, y = -0.15755 + x = -2.66934, y = 36.20679 + x = -0.10682, y = -0.09650 + x = -2.45765, y = 25.22021 + x = -3.12913, y = 71.89647 + x = 3.33103, y = 174.50207 + x = -3.55522, y = 123.90647 + x = 3.40110, y = 188.11776 + x = 4.14037, y = 386.12920 + x = -4.27137, y = 268.90928 + x = -4.36262, y = 293.87360 + x = 1.16583, y = 5.95691 + x = 1.42913, y = 10.56180 + x = -1.39362, y = 1.61397 + x = -1.12416, y = 0.31597 + x = 4.12416, y = 380.57551 + x = 4.16735, y = 395.51332 + x = -3.65031, y = 138.58377 + x = -3.32400, y = 93.07805 + x = -3.85254, y = 174.09675 + x = 1.65194, y = 16.33579 + x = -4.46354, y = 323.46487 + x = 0.16445, y = 0.19668 + x = -1.71497, y = 4.83244 + x = -2.61200, y = 32.93706 + x = -2.40038, y = 22.72933 + x = 1.16242, y = 5.91007 + x = -0.77105, y = -0.28148 + x = 3.44529, y = 197.10781 + x = 4.02378, y = 347.50469 + x = -0.06393, y = -0.06009 + x = 4.42673, y = 494.77065 + x = -2.00620, y = 10.14326 + x = 3.59941, y = 231.03881 + x = 2.85552, y = 100.78128 + x = 0.06440, y = 0.06884 + x = 1.95086, y = 27.66607 + x = -3.27727, y = 87.62225 + x = -3.21945, y = 81.20688 + x = 3.55154, y = 220.06133 + x = 2.19469, y = 40.78282 + x = -3.28669, y = 88.70266 + x = 1.91267, y = 25.95149 + x = -0.98728, y = -0.02480 + x = 3.76711, y = 272.80661 + x = -4.84022, y = 454.05223 + x = 1.85913, y = 23.68766 + x = 0.90409, y = 3.12854 + x = 3.30649, y = 169.91696 + x = 1.60195, y = 14.86471 + x = -2.61176, y = 32.92407 + x = -4.04616, y = 214.10699 + x = -0.80543, y = -0.25837 + x = 4.28371, y = 437.97024 + x = -0.91535, y = -0.14241 + x = -0.33085, y = -0.24562 + x = 4.33686, y = 458.46862 + x = 1.29377, y = 7.93492 + x = -0.31317, y = -0.23619 + x = 1.80646, y = 21.61396 + x = -3.61984, y = 133.74639 + x = 4.72206, y = 629.50385 + x = 1.62056, y = 15.39957 + x = -4.41118, y = 307.84504 + x = -1.46606, y = 2.15187 + x = 3.92407, y = 316.85552 + x = 4.25316, y = 426.50482 + x = -2.58360, y = 31.40115 + x = -0.16074, y = -0.13839 + x = -1.28394, y = 0.96553 + x = -2.73497, y = 40.23840 + x = -1.73674, y = 5.13890 + x = -1.95680, y = 9.04128 + x = 0.07405, y = 0.07997 + x = 3.75922, y = 270.72172 + x = 0.69810, y = 1.76317 + x = 1.34189, y = 8.80134 + x = 0.88074, y = 2.94136 + x = 4.20037, y = 407.23176 + x = 2.71886, y = 84.85371 + x = -1.73724, y = 5.14605 + x = 4.86865, y = 705.84340 + x = 4.54212, y = 544.51382 + x = -3.36118, y = 97.59690 + x = 2.64362, y = 76.94988 + x = 0.21401, y = 0.27172 + x = -2.19382, y = 15.22406 + x = -2.59502, y = 32.01240 + x = 0.06547, y = 0.07005 + x = 3.93145, y = 319.05060 + x = 0.81125, y = 2.43638 + x = -0.46554, y = -0.30274 + x = 1.88346, y = 24.69672 + x = 3.06448, y = 129.42651 + x = 1.28651, y = 7.81028 + x = -1.06857, y = 0.15693 + x = 3.67010, y = 248.00666 + x = -3.16138, y = 75.12349 + x = 0.25350, y = 0.33818 + x = -1.93099, y = 8.50092 + x = -1.18212, y = 0.51612 + x = -4.02161, y = 208.68687 + x = 1.70371, y = 17.97695 + x = -4.41237, y = 308.19301 + x = -1.66082, y = 4.12473 + x = -2.48041, y = 26.26381 + x = -3.58828, y = 128.87099 + x = -2.44426, y = 24.62059 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.stt new file mode 100644 index 0000000..aa3a5a0 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.stt @@ -0,0 +1,47 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.891 3.639 21 4 10 5 0.0000 0.0001 0.0000 12.891 3.639 21 4 10 5 +1 0 0.0000 0.0001 0.0000 12.270 3.861 13 6 5 3 0.0000 0.0001 0.0000 12.580 3.750 13 6 10 5 +2 0 0.0000 0.0002 0.0000 12.414 4.013 20 10 13 5 0.0000 0.0002 0.0000 12.525 3.838 20 10 10 5 +3 0 0.0000 0.0002 0.0000 12.451 4.152 20 10 39 9 0.0000 0.0002 0.0000 12.506 3.916 20 10 10 5 +4 0 0.0000 0.0002 0.0000 12.468 4.233 20 10 5 3 0.0000 0.0002 0.0000 12.499 3.980 20 10 10 5 +5 0 0.0000 0.0003 0.0000 12.474 4.337 22 11 27 9 0.0000 0.0003 0.0000 12.495 4.039 22 11 10 5 +6 0 0.0000 0.0003 0.0000 12.518 4.459 19 10 16 6 0.0000 0.0003 0.0000 12.498 4.099 19 10 10 5 +7 0 0.0000 0.0004 0.0000 12.534 4.589 20 10 5 3 0.0000 0.0004 0.0000 12.502 4.160 20 10 10 5 +8 0 0.0000 0.0006 0.0000 12.935 4.801 9 3 31 9 0.0000 0.0006 0.0000 12.551 4.232 9 3 10 5 +9 0 0.0000 0.0006 0.0000 13.875 5.224 9 3 33 9 0.0000 0.0006 0.0000 12.683 4.331 9 3 10 5 +10 0 0.0001 0.0006 0.0000 15.208 5.806 9 3 12 5 0.0000 0.0006 0.0000 12.913 4.465 9 3 10 5 +11 0 0.0001 0.0007 0.0000 17.776 7.021 63 10 28 12 0.0000 0.0007 0.0000 13.318 4.678 63 10 10 5 +12 0 0.0001 0.0007 0.0000 21.162 8.470 65 10 21 12 0.0001 0.0007 0.0000 13.921 4.970 65 10 10 5 +13 0 0.0001 0.0012 0.0000 24.691 9.847 63 10 8 5 0.0001 0.0012 0.0000 14.691 5.318 63 10 10 5 +14 0 0.0002 0.0012 0.0000 27.830 10.861 63 10 6 4 0.0001 0.0012 0.0000 15.567 5.688 63 10 10 5 +15 0 0.0002 0.0019 0.0000 30.382 11.290 64 11 10 5 0.0001 0.0019 0.0000 16.492 6.038 64 11 10 5 +16 0 0.0002 0.0019 0.0000 33.759 11.507 64 11 26 14 0.0001 0.0019 0.0000 17.508 6.360 64 11 10 5 +17 0 0.0003 0.0025 0.0000 40.465 11.638 63 11 26 8 0.0001 0.0025 0.0000 18.784 6.653 63 11 10 5 +18 0 0.0004 0.0028 0.0000 51.250 11.901 73 17 21 9 0.0001 0.0028 0.0000 20.492 6.929 73 17 10 5 +19 0 0.0006 0.0033 0.0000 62.092 12.122 84 13 15 8 0.0001 0.0033 0.0000 22.572 7.189 84 13 10 5 +20 0 0.0007 0.0033 0.0000 68.479 12.459 90 15 99 14 0.0002 0.0033 0.0000 24.758 7.440 90 15 10 5 +21 0 0.0008 0.0037 0.0000 72.169 12.678 87 13 103 16 0.0002 0.0037 0.0000 26.913 7.678 87 13 10 5 +22 0 0.0009 0.0038 0.0000 74.300 12.795 73 11 66 15 0.0002 0.0038 0.0000 28.974 7.900 73 11 10 5 +23 0 0.0010 0.0044 0.0000 75.874 12.964 74 12 90 16 0.0003 0.0044 0.0000 30.928 8.111 74 12 10 5 +24 0 0.0011 0.0044 0.0000 77.064 13.032 74 12 106 16 0.0003 0.0044 0.0000 32.773 8.308 74 12 10 5 +25 0 0.0012 0.0072 0.0000 78.686 13.173 96 14 90 15 0.0003 0.0072 0.0000 34.539 8.495 96 14 10 5 +26 0 0.0013 0.0086 0.0000 80.362 13.298 94 14 59 16 0.0004 0.0086 0.0000 36.236 8.673 94 14 10 5 +27 0 0.0015 0.0090 0.0000 81.949 13.371 106 14 74 14 0.0004 0.0090 0.0000 37.869 8.841 106 14 10 5 +28 0 0.0016 0.0098 0.0000 83.558 13.498 72 14 13 7 0.0004 0.0098 0.0000 39.444 9.001 72 14 10 5 +29 0 0.0019 0.0099 0.0000 86.010 13.665 80 17 68 15 0.0005 0.0099 0.0000 40.997 9.157 80 17 10 5 +30 0 0.0022 0.0130 0.0000 88.115 13.709 82 16 171 15 0.0005 0.0130 0.0000 42.517 9.304 82 16 10 5 +31 0 0.0027 0.0146 0.0000 90.180 13.891 80 16 91 15 0.0006 0.0146 0.0000 44.006 9.447 80 16 10 5 +32 0 0.0033 0.0150 0.0000 92.545 14.089 65 14 107 17 0.0007 0.0150 0.0000 45.477 9.588 65 14 10 5 +33 0 0.0039 0.0176 0.0000 94.433 14.404 88 17 157 17 0.0008 0.0176 0.0000 46.917 9.729 88 17 10 5 +34 0 0.0043 0.0217 0.0000 96.153 14.534 33 7 77 12 0.0009 0.0217 0.0000 48.324 9.867 33 7 10 5 +35 0 0.0046 0.0217 0.0000 97.286 14.619 33 7 92 14 0.0010 0.0217 0.0000 49.684 9.999 33 7 10 5 +36 0 0.0046 0.0987 0.0000 98.176 14.607 33 7 70 13 0.0011 0.0987 0.0000 50.994 10.123 33 7 10 5 +37 0 0.0050 0.1120 0.0000 101.010 14.738 38 11 99 16 0.0012 0.1120 0.0000 52.310 10.245 38 11 10 5 +38 0 0.0056 0.1539 0.0000 101.574 14.694 34 7 90 14 0.0013 0.1539 0.0000 53.574 10.359 34 7 10 5 +39 0 0.0067 0.1799 0.0000 98.799 14.397 32 7 103 16 0.0014 0.1799 0.0000 54.704 10.460 32 7 10 5 +40 0 0.0092 0.1799 0.0000 92.606 13.975 32 7 132 16 0.0016 0.1799 0.0000 55.629 10.545 32 7 10 5 +41 0 0.0145 0.1799 0.0000 80.731 13.514 32 7 59 12 0.0019 0.1799 0.0000 56.226 10.616 32 7 10 5 +42 0 0.0213 0.2024 0.0000 66.210 12.864 62 15 88 14 0.0024 0.2024 0.0000 56.458 10.668 62 15 10 5 +43 0 0.0301 0.5368 0.0000 59.249 12.818 95 12 56 13 0.0030 0.5368 0.0000 56.522 10.717 95 12 10 5 +44 0 0.0394 0.6463 0.0000 56.874 13.024 105 13 63 16 0.0038 0.6463 0.0000 56.530 10.769 105 13 10 5 +45 0 0.0566 0.9654 0.0000 58.431 13.116 104 17 36 10 0.0050 0.9654 0.0000 56.571 10.820 104 17 10 5 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.sys new file mode 100644 index 0000000..4654861 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_4/regress.sys @@ -0,0 +1,188 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1594. +creating initial population(s): + 5640 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 257840577 + freed: 256938237 + not freed: 902340 + max allocated: 11457521 + malloc'ed blocks: 669349 + realloc'ed blocks: 11 + free'ed blocks: 669214 + +------- time ------- + overall: 4s wall + evaluation: 4s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 31385 + freed: 31385 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.bst new file mode 100644 index 0000000..a23b3f3 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.bst @@ -0,0 +1,29 @@ +=== BEST-OF-RUN === + generation: 31 + nodes: 25 + depth: 8 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (* x + (- x + (- (- (/ (- x x) + (* x + (- (- (/ (sin -0.35838) x) + (* x x)) + (- (/ (log (sin (* x x))) + (/ 0.82606 x)) + (sin (exp (cos (sin (log (/ -0.74506 0.76407)))))))))) + (+ (/ x x) + (/ (/ x x) x))) + (* x x)))) x) +TREE-equ: +y = ((x * (x - ((((x - x) / (x * (((sin(-0.35838) / x) - (x * x)) - ((log(sin((x * x))) / (0.82606 / x)) - sin(exp(cos(sin(log((-0.74506 / 0.76407)))))))))) - ((x / x) + ((x / x) / x))) - (x * x)))) * x) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.fn new file mode 100644 index 0000000..8287311 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.fn @@ -0,0 +1,2 @@ + +y = ((x * (x - ((((x - x) / (x * (((sin(-0.35838) / x) - (x * x)) - ((log(sin((x * x))) / (0.82606 / x)) - sin(exp(cos(sin(log((-0.74506 / 0.76407)))))))))) - ((x / x) + ((x / x) / x))) - (x * x)))) * x) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.his new file mode 100644 index 0000000..2f941db --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.his @@ -0,0 +1,743 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 8 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 6886.1808 + standardized fitness: 6886.1808 + adjusted fitness: 0.0001 +TREE: + (* (/ (log x) + (/ 0.08965 x)) x) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 8 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 6886.1808 + standardized fitness: 6886.1808 + adjusted fitness: 0.0001 +TREE: + (* (/ (log x) + (/ 0.08965 x)) x) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 8 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 6886.1808 + standardized fitness: 6886.1808 + adjusted fitness: 0.0001 +TREE: + (* (/ (log x) + (/ 0.08965 x)) x) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 8 + depth: 3 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 6886.1808 + standardized fitness: 6886.1808 + adjusted fitness: 0.0001 +TREE: + (* (/ (log x) + (/ 0.08965 x)) x) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 24 + depth: 4 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 6672.3508 + standardized fitness: 6672.3508 + adjusted fitness: 0.0001 +TREE: + (/ (+ (/ (* x x) + (/ -0.46030 x)) + (log -0.45036)) + (/ (- (exp -0.94614) + (/ 0.55565 0.40093)) + (- (sin x) + (* x -0.69090)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 11 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5238.9407 + standardized fitness: 5238.9407 + adjusted fitness: 0.0002 +TREE: + (- (exp (log (* x + (exp x)))) + (/ x + (exp x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 11 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5238.9407 + standardized fitness: 5238.9407 + adjusted fitness: 0.0002 +TREE: + (- (exp (log (* x + (exp x)))) + (/ x + (exp x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 5 + nodes: 11 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5238.9407 + standardized fitness: 5238.9407 + adjusted fitness: 0.0002 +TREE: + (- (exp (log (* x + (exp x)))) + (/ x + (exp x))) +=== BEST-OF-RUN === + current generation: 8 + generation: 5 + nodes: 11 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 5238.9407 + standardized fitness: 5238.9407 + adjusted fitness: 0.0002 +TREE: + (- (exp (log (* x + (exp x)))) + (/ x + (exp x))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 14 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1122.2377 + standardized fitness: 1122.2377 + adjusted fitness: 0.0009 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (sin x) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 14 + depth: 5 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 690.3496 + standardized fitness: 690.3496 + adjusted fitness: 0.0014 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (cos x) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 15 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 628.8371 + standardized fitness: 628.8371 + adjusted fitness: 0.0016 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (sin (cos x)) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 25 + depth: 8 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 448.4438 + standardized fitness: 448.4438 + adjusted fitness: 0.0022 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- (/ (/ -0.34518 -0.75873) x) + (+ (cos (exp -0.47848)) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 29 + depth: 9 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 281.0330 + standardized fitness: 281.0330 + adjusted fitness: 0.0035 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- (/ (/ (cos (sin x)) -0.75873) + (log (log (sin 0.07944)))) + (+ (cos x) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 28 + depth: 10 + hits: 7 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 7 + raw fitness: 240.4887 + standardized fitness: 240.4887 + adjusted fitness: 0.0041 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- (/ (sin -0.36526) x) + (+ (cos (cos (+ (log x) + (log x)))) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 20 + depth: 7 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 83.0783 + standardized fitness: 83.0783 + adjusted fitness: 0.0119 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- 0.45717 + (+ (/ 0.82606 x) + (cos 0.06888))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 16 + generation: 15 + nodes: 20 + depth: 7 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 83.0783 + standardized fitness: 83.0783 + adjusted fitness: 0.0119 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- 0.45717 + (+ (/ 0.82606 x) + (cos 0.06888))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 17 + generation: 15 + nodes: 20 + depth: 7 + hits: 5 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 5 + raw fitness: 83.0783 + standardized fitness: 83.0783 + adjusted fitness: 0.0119 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- 0.45717 + (+ (/ 0.82606 x) + (cos 0.06888))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 26 + depth: 9 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 81.9200 + standardized fitness: 81.9200 + adjusted fitness: 0.0121 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- (/ (log -0.99758) x) + (+ (cos (cos (/ -0.03410 x))) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 19 + generation: 18 + nodes: 26 + depth: 9 + hits: 6 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 6 + raw fitness: 81.9200 + standardized fitness: 81.9200 + adjusted fitness: 0.0121 +TREE: + (* (* x + (- (+ 0.45717 x) + (- (- (/ (log -0.99758) x) + (+ (cos (cos (/ -0.03410 x))) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 55 + depth: 17 + hits: 13 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 13 + raw fitness: 60.6717 + standardized fitness: 60.6717 + adjusted fitness: 0.0162 +TREE: + (* (* x + (- x + (- (- (/ (/ (/ 0.82606 x) -0.75873) + (* x + (- (- x + (sin (- (cos 0.75457) + (exp (exp (log (/ (cos (exp 0.31527)) + (+ (log -0.89139) + (sin -0.32496))))))))) + (- (/ (log (sin (* x x))) x) + (/ 0.82606 x))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 21 + generation: 21 + nodes: 40 + depth: 13 + hits: 11 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 11 + raw fitness: 47.9454 + standardized fitness: 47.9454 + adjusted fitness: 0.0204 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (- x x) + (exp (+ (exp (* x -0.08718)) + (sin (+ (sin x) + (/ -0.41395 x)))))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 22 + generation: 22 + nodes: 34 + depth: 13 + hits: 29 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 29 + raw fitness: 26.7386 + standardized fitness: 26.7386 + adjusted fitness: 0.0361 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (- x x) + (exp (cos (sin (log (/ -0.74506 0.76407)))))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 23 + generation: 22 + nodes: 34 + depth: 13 + hits: 29 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 29 + raw fitness: 26.7386 + standardized fitness: 26.7386 + adjusted fitness: 0.0361 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (- x x) + (exp (cos (sin (log (/ -0.74506 0.76407)))))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 41 + depth: 14 + hits: 14 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 14 + raw fitness: 16.6328 + standardized fitness: 16.6328 + adjusted fitness: 0.0567 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (+ (log -0.89139) + (sin -0.32496)) + (exp (exp (/ (/ (+ (cos -0.18805) + (/ 0.82606 x)) x) -0.75873)))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 25 + generation: 24 + nodes: 41 + depth: 14 + hits: 14 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 14 + raw fitness: 16.6328 + standardized fitness: 16.6328 + adjusted fitness: 0.0567 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (+ (log -0.89139) + (sin -0.32496)) + (exp (exp (/ (/ (+ (cos -0.18805) + (/ 0.82606 x)) x) -0.75873)))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 26 + generation: 24 + nodes: 41 + depth: 14 + hits: 14 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 14 + raw fitness: 16.6328 + standardized fitness: 16.6328 + adjusted fitness: 0.0567 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (+ (log -0.89139) + (sin -0.32496)) + (exp (exp (/ (/ (+ (cos -0.18805) + (/ 0.82606 x)) x) -0.75873)))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 38 + depth: 14 + hits: 11 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 11 + raw fitness: 16.1963 + standardized fitness: 16.1963 + adjusted fitness: 0.0582 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (sin -0.32496) + (exp (exp (/ (/ (+ (cos -0.18805) + (/ 0.82606 x)) x) -0.75873)))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 28 + generation: 27 + nodes: 38 + depth: 14 + hits: 11 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 11 + raw fitness: 16.1963 + standardized fitness: 16.1963 + adjusted fitness: 0.0582 +TREE: + (* (* x + (- x + (- (- (/ (/ -0.34518 -0.75873) + (* x + (- (sin -0.32496) + (exp (exp (/ (/ (+ (cos -0.18805) + (/ 0.82606 x)) x) -0.75873)))))) + (+ (cos -0.18805) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 53 + depth: 17 + hits: 24 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 24 + raw fitness: 8.6551 + standardized fitness: 8.6551 + adjusted fitness: 0.1036 +TREE: + (* (* x + (- x + (- (- (/ (/ (cos (exp 0.31527)) + (+ -0.32496 + (sin -0.32496))) + (* x + (- (- (+ 0.45717 x) + (sin (- (cos 0.75457) + (exp (exp (log (/ (cos (exp 0.31527)) + (+ (log -0.89139) + (sin -0.32496))))))))) + (+ x -0.77163)))) + (+ (log (exp 0.99904)) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 53 + depth: 17 + hits: 143 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 143 + raw fitness: 1.7242 + standardized fitness: 1.7242 + adjusted fitness: 0.3671 +TREE: + (* (* x + (- x + (- (- (/ (/ (cos (exp 0.31527)) + (+ -0.32496 + (sin -0.32496))) + (* x + (- (- (+ 0.45717 x) + (sin (- (cos 0.75457) + (exp (exp (log (/ (cos (exp 0.31527)) + (+ (cos -0.18805) + (sin -0.32496))))))))) + (+ x -0.77163)))) + (+ (log (exp 0.99904)) + (/ 0.82606 x))) + (* x x)))) x) +=== BEST-OF-RUN === + current generation: 31 + generation: 31 + nodes: 25 + depth: 8 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (* x + (- x + (- (- (/ (- x x) + (* x + (- (- (/ (sin -0.35838) x) + (* x x)) + (- (/ (log (sin (* x x))) + (/ 0.82606 x)) + (sin (exp (cos (sin (log (/ -0.74506 0.76407)))))))))) + (+ (/ x x) + (/ (/ x x) x))) + (* x x)))) x) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.prg new file mode 100644 index 0000000..6810c6b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.02060, y = 0.02103 + x = 1.95345, y = 27.78523 + x = 4.11625, y = 377.88719 + x = -2.79586, y = 44.26915 + x = -1.22779, y = 0.70130 + x = 3.61826, y = 235.47523 + x = -4.17066, y = 243.24169 + x = -4.81479, y = 444.16296 + x = -1.64379, y = 3.91769 + x = 3.11408, y = 137.05253 + x = -2.29593, y = 18.65946 + x = -3.92569, y = 188.48720 + x = -2.93178, y = 54.34337 + x = -1.24613, y = 0.78300 + x = -2.93110, y = 54.28940 + x = -4.29880, y = 276.24040 + x = -4.79555, y = 436.79285 + x = 1.49671, y = 12.10785 + x = -3.09971, y = 69.04321 + x = -1.15457, y = 0.41635 + x = -4.63339, y = 378.25124 + x = -3.61732, y = 133.35299 + x = 4.43739, y = 499.21330 + x = 0.61528, y = 1.37009 + x = -0.56052, y = -0.32373 + x = 4.23039, y = 418.10662 + x = 3.77986, y = 276.19895 + x = 1.83138, y = 22.57685 + x = -2.72300, y = 39.47938 + x = 3.82602, y = 288.75525 + x = -2.31812, y = 19.47524 + x = -3.40041, y = 102.54171 + x = 0.88919, y = 3.00804 + x = -3.37666, y = 99.52710 + x = -3.87088, y = 177.62431 + x = -3.08840, y = 67.96962 + x = -2.23265, y = 16.47049 + x = 4.30159, y = 444.78769 + x = 2.65088, y = 77.68716 + x = 0.28960, y = 0.40480 + x = -0.32286, y = -0.24141 + x = -0.51184, y = -0.31532 + x = 0.06014, y = 0.06399 + x = -2.88763, y = 50.90165 + x = 3.17506, y = 146.88972 + x = -2.63651, y = 34.30667 + x = -2.72622, y = 39.68307 + x = 1.19419, y = 6.35705 + x = -2.06732, y = 11.63652 + x = -4.27670, y = 270.32145 + x = 1.93586, y = 26.98249 + x = -2.98573, y = 58.78237 + x = -0.41088, y = -0.28292 + x = -0.32922, y = -0.24477 + x = 3.46056, y = 200.29053 + x = -1.57900, y = 3.19363 + x = -3.93574, y = 190.53154 + x = 2.49291, y = 62.82164 + x = -3.92498, y = 188.34298 + x = -3.13939, y = 72.91167 + x = 0.85091, y = 2.71532 + x = -3.47225, y = 112.08042 + x = -2.46567, y = 25.58419 + x = 3.06661, y = 129.74614 + x = -1.56305, y = 3.03023 + x = 3.21591, y = 153.77505 + x = 1.01416, y = 4.14366 + x = 4.95585, y = 754.45272 + x = 0.57881, y = 1.21999 + x = 4.70541, y = 621.24595 + x = 3.42742, y = 193.43414 + x = -0.98974, y = -0.02010 + x = -1.43598, y = 1.91699 + x = -3.82301, y = 168.52763 + x = 1.90957, y = 25.81580 + x = 3.35234, y = 178.56246 + x = 1.79356, y = 21.12818 + x = -0.23339, y = -0.18867 + x = 2.15472, y = 38.35715 + x = -3.98153, y = 200.05701 + x = 3.16613, y = 145.41668 + x = -3.71306, y = 148.95823 + x = 0.75636, y = 2.08845 + x = -4.58360, y = 361.52290 + x = -2.02489, y = 10.58440 + x = -3.84587, y = 172.82772 + x = 4.06526, y = 360.89501 + x = 2.82258, y = 96.74957 + x = 3.18639, y = 148.77621 + x = -2.08679, y = 12.14381 + x = 0.89743, y = 3.07426 + x = -2.18851, y = 15.05898 + x = -1.27722, y = 0.93165 + x = 2.94547, y = 112.44508 + x = 1.86218, y = 23.81261 + x = -4.33312, y = 285.62052 + x = -4.07586, y = 220.80586 + x = -1.11685, y = 0.29328 + x = 0.20280, y = 0.25396 + x = 4.82271, y = 681.20969 + x = 0.56993, y = 1.18539 + x = 2.50717, y = 64.06510 + x = 4.03947, y = 352.52593 + x = -3.08579, y = 67.72350 + x = -2.44283, y = 24.55706 + x = 0.64892, y = 1.52060 + x = 1.25790, y = 7.33435 + x = -0.82728, y = -0.24068 + x = -3.30433, y = 90.75149 + x = 2.30644, y = 48.19422 + x = -0.64426, y = -0.32432 + x = -1.75832, y = 5.45579 + x = 4.30653, y = 446.68213 + x = 3.16180, y = 144.70764 + x = 0.96317, y = 3.64504 + x = -1.96058, y = 9.12244 + x = 2.80497, y = 94.64510 + x = -0.41114, y = -0.28303 + x = -3.79558, y = 163.47453 + x = -2.22993, y = 16.38076 + x = 2.29177, y = 47.16634 + x = -2.86899, y = 49.49815 + x = -0.24695, y = -0.19730 + x = 0.75610, y = 2.08687 + x = -0.86452, y = -0.20466 + x = -4.07975, y = 221.69359 + x = -0.02921, y = -0.02838 + x = -3.35019, y = 96.24452 + x = 3.61981, y = 235.84373 + x = -3.73935, y = 153.47436 + x = -2.90556, y = 52.27901 + x = -2.37916, y = 21.85448 + x = -1.92906, y = 8.46152 + x = 4.84828, y = 694.84095 + x = 1.66273, y = 16.66771 + x = -0.07555, y = -0.07024 + x = -3.01958, y = 61.70177 + x = 2.59456, y = 72.10855 + x = -0.54678, y = -0.32190 + x = 4.93569, y = 742.99418 + x = -1.65084, y = 4.00260 + x = -0.52360, y = -0.31783 + x = 1.61816, y = 15.32984 + x = 0.41632, y = 0.69184 + x = 0.62145, y = 1.39679 + x = -1.23358, y = 0.72659 + x = 3.05844, y = 128.51936 + x = 2.96668, y = 115.33927 + x = -1.19000, y = 0.54630 + x = 0.94193, y = 3.45205 + x = 0.69609, y = 1.75271 + x = 4.27433, y = 434.42342 + x = 0.26334, y = 0.35576 + x = -1.05785, y = 0.12967 + x = 2.72827, y = 85.88421 + x = -2.05091, y = 11.22098 + x = -0.56377, y = -0.32410 + x = 4.19119, y = 403.94767 + x = 0.25148, y = 0.33463 + x = 2.63272, y = 75.85402 + x = -1.33150, y = 1.22392 + x = 3.66334, y = 246.34414 + x = 4.71950, y = 628.22965 + x = -3.24002, y = 83.44707 + x = -1.04272, y = 0.09297 + x = 4.87935, y = 711.67825 + x = 1.62352, y = 15.48611 + x = -1.10980, y = 0.27193 + x = -2.45964, y = 25.31031 + x = -2.80325, y = 44.77797 + x = -0.01902, y = -0.01866 + x = 4.83829, y = 689.49021 + x = -4.22113, y = 255.86442 + x = 0.26249, y = 0.35423 + x = 2.07398, y = 33.79825 + x = 3.01744, y = 122.49616 + x = 1.86767, y = 24.03825 + x = -4.18910, y = 247.79796 + x = 3.02783, y = 124.00229 + x = -3.81362, y = 166.78508 + x = 1.48403, y = 11.80500 + x = 0.77959, y = 2.23055 + x = 1.39833, y = 9.91121 + x = -4.01291, y = 206.78963 + x = 2.59215, y = 71.87640 + x = -1.56890, y = 3.08949 + x = -2.09866, y = 12.46094 + x = -3.68904, y = 144.92126 + x = 0.89100, y = 3.02248 + x = 1.78338, y = 20.75103 + x = 3.30093, y = 168.89086 + x = 3.09021, y = 133.34071 + x = 0.05420, y = 0.05731 + x = -2.74353, y = 40.78782 + x = -0.04529, y = -0.04333 + x = -1.48913, y = 2.34359 + x = -1.30247, y = 1.06230 + x = -3.64434, y = 137.62562 + x = 3.34234, y = 176.64856 + x = 2.60401, y = 73.02211 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.stt new file mode 100644 index 0000000..3c83b5f --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.stt @@ -0,0 +1,33 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.913 3.682 8 3 9 4 0.0000 0.0001 0.0000 12.913 3.682 8 3 9 4 +1 0 0.0000 0.0001 0.0000 12.281 3.897 8 3 12 5 0.0000 0.0001 0.0000 12.597 3.790 8 3 9 4 +2 0 0.0000 0.0001 0.0000 11.966 4.022 8 3 11 5 0.0000 0.0001 0.0000 12.386 3.867 8 3 9 4 +3 0 0.0000 0.0001 0.0000 11.982 4.139 8 3 7 4 0.0000 0.0001 0.0000 12.285 3.935 8 3 9 4 +4 0 0.0000 0.0001 0.0000 11.830 4.186 24 4 8 4 0.0000 0.0001 0.0000 12.194 3.985 24 4 8 4 +5 0 0.0000 0.0002 0.0000 11.875 4.299 11 5 8 4 0.0000 0.0002 0.0000 12.141 4.037 11 5 8 4 +6 0 0.0000 0.0002 0.0000 12.058 4.372 11 5 18 8 0.0000 0.0002 0.0000 12.129 4.085 11 5 8 4 +7 0 0.0000 0.0002 0.0000 12.272 4.469 11 5 12 4 0.0000 0.0002 0.0000 12.147 4.133 11 5 8 4 +8 0 0.0000 0.0002 0.0000 12.275 4.490 11 5 10 5 0.0000 0.0002 0.0000 12.161 4.173 11 5 8 4 +9 0 0.0000 0.0009 0.0000 12.429 4.556 14 5 10 5 0.0000 0.0009 0.0000 12.188 4.211 14 5 8 4 +10 0 0.0000 0.0014 0.0000 12.589 4.620 14 5 6 5 0.0000 0.0014 0.0000 12.224 4.248 14 5 8 4 +11 0 0.0000 0.0016 0.0000 12.717 4.672 15 6 21 9 0.0000 0.0016 0.0000 12.265 4.284 15 6 8 4 +12 0 0.0001 0.0022 0.0000 13.491 4.902 25 8 22 10 0.0000 0.0022 0.0000 12.360 4.331 25 8 8 4 +13 0 0.0001 0.0035 0.0000 15.323 5.468 29 9 18 8 0.0001 0.0035 0.0000 12.571 4.412 29 9 8 4 +14 0 0.0003 0.0041 0.0000 19.399 6.738 28 10 34 14 0.0001 0.0041 0.0000 13.027 4.567 28 10 8 4 +15 0 0.0004 0.0119 0.0000 24.105 8.144 20 7 36 8 0.0001 0.0119 0.0000 13.719 4.791 20 7 8 4 +16 0 0.0005 0.0119 0.0000 28.511 9.345 20 7 22 9 0.0001 0.0119 0.0000 14.589 5.059 20 7 8 4 +17 0 0.0007 0.0119 0.0000 31.977 10.183 20 7 41 17 0.0001 0.0119 0.0000 15.555 5.344 20 7 8 4 +18 0 0.0008 0.0121 0.0000 34.620 10.775 26 9 19 7 0.0002 0.0121 0.0000 16.558 5.629 26 9 8 4 +19 0 0.0011 0.0121 0.0000 37.684 11.388 26 9 14 6 0.0002 0.0121 0.0000 17.615 5.917 26 9 8 4 +20 0 0.0015 0.0162 0.0000 40.053 11.940 55 17 25 10 0.0003 0.0162 0.0000 18.683 6.204 55 17 8 4 +21 0 0.0022 0.0204 0.0000 42.356 12.389 40 13 72 17 0.0004 0.0204 0.0000 19.759 6.485 40 13 8 4 +22 0 0.0033 0.0361 0.0000 44.594 12.784 34 13 25 9 0.0005 0.0361 0.0000 20.839 6.759 34 13 8 4 +23 0 0.0044 0.0361 0.0000 46.127 13.095 34 13 57 14 0.0007 0.0361 0.0000 21.893 7.023 34 13 8 4 +24 0 0.0052 0.0567 0.0000 46.795 13.112 41 14 49 15 0.0008 0.0567 0.0000 22.889 7.267 41 14 8 4 +25 0 0.0059 0.0567 0.0000 47.127 13.056 41 14 64 17 0.0010 0.0567 0.0000 23.821 7.489 41 14 8 4 +26 0 0.0067 0.0567 0.0000 47.865 13.121 41 14 41 14 0.0012 0.0567 0.0000 24.712 7.698 41 14 8 4 +27 0 0.0075 0.0582 0.0000 48.209 13.150 38 14 15 5 0.0015 0.0582 0.0000 25.551 7.893 38 14 8 4 +28 0 0.0087 0.0582 0.0000 48.428 13.158 38 14 44 13 0.0017 0.0582 0.0000 26.340 8.074 38 14 8 4 +29 0 0.0107 0.1036 0.0000 47.719 13.021 53 17 30 9 0.0020 0.1036 0.0000 27.052 8.239 53 17 8 4 +30 0 0.0137 0.3671 0.0000 46.929 12.849 53 17 63 17 0.0024 0.3671 0.0000 27.693 8.388 53 17 8 4 +31 0 0.0177 1.0000 0.0000 45.876 12.619 25 8 55 16 0.0029 1.0000 0.0000 28.262 8.520 25 8 8 4 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.sys new file mode 100644 index 0000000..2c271f2 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_5/regress.sys @@ -0,0 +1,146 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 370. +creating initial population(s): + 5575 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 96482434 + freed: 95860822 + not freed: 621612 + max allocated: 6266664 + malloc'ed blocks: 464108 + realloc'ed blocks: 9 + free'ed blocks: 464015 + +------- time ------- + overall: 2s wall + evaluation: 2s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 25696 + freed: 25696 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.bst new file mode 100644 index 0000000..c5f2b6f --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.bst @@ -0,0 +1,48 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 109 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 913.0117 + standardized fitness: 913.0117 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (- x x) + (sin -0.44166))) + (+ (+ (log 0.23646) + (/ (/ x x) 0.46439)) + (+ (+ x + (+ x + (exp x))) + (exp (+ -0.09443 -0.72949)))))))))))))) + (/ (+ (log (/ 0.16648 + (- -0.73826 x))) + (+ x + (+ (sin (* (/ (cos x) + (* (* (- -0.73826 x) + (exp x)) + (- -0.50956 + (+ x + (+ (+ (+ (sin (log 0.65898)) x) + (- -0.48219 x)) + (exp x)))))) + (- (sin -0.99802) -0.95484))) + (- -0.48219 x)))) + (exp x))) +TREE-equ: +y = (((-0.48219 - exp(x)) * ((x / (exp(0.62403) / sin((((-0.73826 - x) * -0.35168) + x)))) - ((x / x) + (x - sin(log(sin((-0.90433 - (x + (cos(((x - x) + sin(-0.44166))) / ((log(0.23646) + ((x / x) / 0.46439)) + ((x + (x + exp(x))) + exp((-0.09443 + -0.72949)))))))))))))) - ((log((0.16648 / (-0.73826 - x))) + (x + (sin(((cos(x) / (((-0.73826 - x) * exp(x)) * (-0.50956 - (x + (((sin(log(0.65898)) + x) + (-0.48219 - x)) + exp(x)))))) * (sin(-0.99802) - -0.95484))) + (-0.48219 - x)))) / exp(x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.fn new file mode 100644 index 0000000..1d33952 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.fn @@ -0,0 +1,2 @@ + +y = (((-0.48219 - exp(x)) * ((x / (exp(0.62403) / sin((((-0.73826 - x) * -0.35168) + x)))) - ((x / x) + (x - sin(log(sin((-0.90433 - (x + (cos(((x - x) + sin(-0.44166))) / ((log(0.23646) + ((x / x) / 0.46439)) + ((x + (x + exp(x))) + exp((-0.09443 + -0.72949)))))))))))))) - ((log((0.16648 / (-0.73826 - x))) + (x + (sin(((cos(x) / (((-0.73826 - x) * exp(x)) * (-0.50956 - (x + (((sin(log(0.65898)) + x) + (-0.48219 - x)) + exp(x)))))) * (sin(-0.99802) - -0.95484))) + (-0.48219 - x)))) / exp(x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.his new file mode 100644 index 0000000..a696dc3 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.his @@ -0,0 +1,1615 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 22 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 9493.7357 + standardized fitness: 9493.7357 + adjusted fitness: 0.0001 +TREE: + (+ (exp (+ (cos (log (exp x))) + (log (* (/ x 0.14703) + (* x x))))) + (exp (log (sin (log (* x 0.92770)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 22 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 9493.7357 + standardized fitness: 9493.7357 + adjusted fitness: 0.0001 +TREE: + (+ (exp (+ (cos (log (exp x))) + (log (* (/ x 0.14703) + (* x x))))) + (exp (log (sin (log (* x 0.92770)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9464.5661 + standardized fitness: 9464.5661 + adjusted fitness: 0.0001 +TREE: + (+ (exp (+ (cos (log (exp x))) + (log (* (/ x 0.14703) + (* x x))))) + (exp (- (exp (log (+ 0.31760 0.22702))) + (exp (* (/ x 0.44028) + (log -0.63169)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 25 + depth: 8 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 9187.3915 + standardized fitness: 9187.3915 + adjusted fitness: 0.0001 +TREE: + (+ (exp (+ (sin (log 0.40402)) + (log (* (/ x 0.14703) + (* x x))))) + (exp (log (sin (log (* x + (* -0.02163 + (+ 0.83440 0.44311)))))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3327.9502 + standardized fitness: 3327.9502 + adjusted fitness: 0.0003 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- x x) + (exp x))))) + (/ (+ (log (* (- -0.73826 x) + (exp x))) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3327.9502 + standardized fitness: 3327.9502 + adjusted fitness: 0.0003 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- x x) + (exp x))))) + (/ (+ (log (* (- -0.73826 x) + (exp x))) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3327.9502 + standardized fitness: 3327.9502 + adjusted fitness: 0.0003 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- x x) + (exp x))))) + (/ (+ (log (* (- -0.73826 x) + (exp x))) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 4 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3327.9502 + standardized fitness: 3327.9502 + adjusted fitness: 0.0003 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- x x) + (exp x))))) + (/ (+ (log (* (- -0.73826 x) + (exp x))) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 29 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3275.5833 + standardized fitness: 3275.5833 + adjusted fitness: 0.0003 +TREE: + (- (* (- -0.50478 x) + (- (log 0.23646) + (+ x + (+ (- x x) + (exp x))))) + (/ (+ (log (* (- -0.73826 x) + (exp x))) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 33 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2722.3732 + standardized fitness: 2722.3732 + adjusted fitness: 0.0004 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (+ (exp (log (- x x))) x) + (exp x))))) + (/ (+ (log (* (- -0.73826 x) + (exp x))) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 24 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2457.0729 + standardized fitness: 2457.0729 + adjusted fitness: 0.0004 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ x + (exp x))))) + (/ (+ (log (/ -0.25316 x)) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 24 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2457.0729 + standardized fitness: 2457.0729 + adjusted fitness: 0.0004 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ x + (exp x))))) + (/ (+ (log (/ -0.25316 x)) + (sin -0.44166)) + (exp x))) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 32 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2048.5100 + standardized fitness: 2048.5100 + adjusted fitness: 0.0005 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- (sin -0.36297) + (- -0.69642 x)) + (exp x))))) + (/ (+ (log (* (exp 0.24261) + (exp x))) + (exp (cos x))) + (exp x))) +=== BEST-OF-RUN === + current generation: 13 + generation: 12 + nodes: 32 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2048.5100 + standardized fitness: 2048.5100 + adjusted fitness: 0.0005 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- (sin -0.36297) + (- -0.69642 x)) + (exp x))))) + (/ (+ (log (* (exp 0.24261) + (exp x))) + (exp (cos x))) + (exp x))) +=== BEST-OF-RUN === + current generation: 14 + generation: 12 + nodes: 32 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2048.5100 + standardized fitness: 2048.5100 + adjusted fitness: 0.0005 +TREE: + (- (* (- -0.48219 x) + (- (log 0.23646) + (+ x + (+ (- (sin -0.36297) + (- -0.69642 x)) + (exp x))))) + (/ (+ (log (* (exp 0.24261) + (exp x))) + (exp (cos x))) + (exp 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x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (* (* 0.34282 + (- -0.48219 x)) + (/ (log 0.92267) 0.79366))))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 44 + generation: 43 + nodes: 59 + depth: 13 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 956.6505 + standardized fitness: 956.6505 + adjusted fitness: 0.0010 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (* (* 0.34282 + (- -0.48219 x)) + (/ (log 0.92267) 0.79366))))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 45 + generation: 45 + nodes: 65 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 942.7117 + standardized fitness: 942.7117 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (* 0.92532 + (/ (+ (+ x 0.25238) + (sin -0.44166)) x)) + (sin x))) x)))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 46 + generation: 45 + nodes: 65 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 942.7117 + standardized fitness: 942.7117 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (* 0.92532 + (/ (+ (+ x 0.25238) + (sin -0.44166)) x)) + (sin x))) x)))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 47 + generation: 47 + nodes: 63 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 939.2316 + standardized fitness: 939.2316 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (* 0.92532 + (/ (+ x + (sin -0.44166)) x)) + (sin x))) x)))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 89 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 930.4123 + standardized fitness: 930.4123 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (* 0.92532 + (/ (+ (+ x 0.25238) + (sin -0.44166)) x)) + (sin x))) + (+ (+ (log (* (- -0.73826 x) + (exp x))) + (/ (/ x x) 0.46439)) + (+ (* (exp x) + (* 0.41862 -0.07745)) + (exp (+ -0.09443 -0.72949)))))))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 49 + generation: 48 + nodes: 89 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 930.4123 + standardized fitness: 930.4123 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (* 0.92532 + (/ (+ (+ x 0.25238) + (sin -0.44166)) x)) + (sin x))) + (+ (+ (log (* (- -0.73826 x) + (exp x))) + (/ (/ x x) 0.46439)) + (+ (* (exp x) + (* 0.41862 -0.07745)) + (exp (+ -0.09443 -0.72949)))))))))))))) + (/ (+ (log (/ 0.16648 x)) + (+ x + (+ (exp x) + (- -0.48219 x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 109 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 913.0117 + standardized fitness: 913.0117 + adjusted fitness: 0.0011 +TREE: + (- (* (- -0.48219 + (exp x)) + (- (/ x + (/ (exp 0.62403) + (sin (+ (* (- -0.73826 x) -0.35168) x)))) + (+ (/ x x) + (- x + (sin (log (sin (- -0.90433 + (+ x + (/ (cos (+ (- x x) + (sin -0.44166))) + (+ (+ (log 0.23646) + (/ (/ x x) 0.46439)) + (+ (+ x + (+ x + (exp x))) + (exp (+ -0.09443 -0.72949)))))))))))))) + (/ (+ (log (/ 0.16648 + (- -0.73826 x))) + (+ x + (+ (sin (* (/ (cos x) + (* (* (- -0.73826 x) + (exp x)) + (- -0.50956 + (+ x + (+ (+ (+ (sin (log 0.65898)) x) + (- -0.48219 x)) + (exp x)))))) + (- (sin -0.99802) -0.95484))) + (- -0.48219 x)))) + (exp x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.prg new file mode 100644 index 0000000..ba17201 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.48051, y = 0.87566 + x = 4.60190, y = 571.72371 + x = -3.17859, y = 76.88935 + x = 0.97611, y = 3.76670 + x = -2.62503, y = 33.65996 + x = -3.13045, y = 72.02650 + x = -1.01141, y = 0.02334 + x = -1.47508, y = 2.22562 + x = 3.91576, y = 314.39568 + x = 2.93507, y = 111.04582 + x = 2.04429, y = 32.23175 + x = -2.07256, y = 11.77167 + x = 3.73836, y = 265.26827 + x = 4.74359, y = 640.30992 + x = -4.49956, y = 334.54942 + x = 3.38608, y = 185.13261 + x = 4.25424, y = 426.90509 + x = 2.79135, y = 93.04197 + x = -3.70195, y = 147.08153 + x = 2.13474, y = 37.18712 + x = -1.40109, y = 1.66512 + x = -1.02494, y = 0.05241 + x = -0.50455, y = -0.31362 + x = -1.49777, y = 2.41801 + x = 1.85611, y = 23.56488 + x = 3.47047, y = 202.37453 + x = -1.26805, y = 0.88646 + x = -4.01978, y = 208.28651 + x = 2.07564, y = 33.88760 + x = 1.07120, y = 4.76447 + x = 4.60788, y = 574.49718 + x = 0.71235, y = 1.83877 + x = 1.44672, y = 10.94830 + x = -4.00329, y = 204.70741 + x = -0.65231, y = -0.32331 + x = -2.93843, y = 54.87665 + x = 1.38434, y = 9.62624 + x = -1.01672, y = 0.03458 + x = -3.18415, y = 77.46614 + x = 4.97178, y = 763.59654 + x = -4.05831, y = 216.82796 + x = 4.00188, y = 340.59008 + x = -2.50455, y = 27.40521 + x = -1.07062, y = 0.16227 + x = 4.41927, y = 491.67658 + x = 3.93128, y = 318.99989 + x = -1.38378, y = 1.54796 + x = 2.66141, y = 78.76570 + x = 1.78960, y = 20.98070 + x = 0.84768, y = 2.69169 + x = 1.74015, y = 19.20711 + x = 1.66892, y = 16.86054 + x = 2.07693, y = 33.95711 + x = 1.36250, y = 9.19443 + x = 4.22650, y = 416.68662 + x = 4.76816, y = 652.80645 + x = -1.84481, y = 6.86271 + x = -4.17530, y = 244.38380 + x = -3.37158, y = 98.89097 + x = -4.68660, y = 396.76669 + x = 0.48521, y = 0.89029 + x = -4.99468, y = 517.69670 + x = -3.29094, y = 89.19251 + x = 3.94398, y = 322.80332 + x = 1.99337, y = 29.67668 + x = 3.04241, y = 126.13759 + x = -4.56802, y = 356.40111 + x = -0.19102, y = -0.16017 + x = -4.67568, y = 392.91193 + x = -3.43084, y = 106.50467 + x = -0.23015, y = -0.18656 + x = -3.40717, y = 103.41300 + x = -3.99824, y = 203.62272 + x = 0.45037, y = 0.78568 + x = -4.60541, y = 368.78124 + x = 1.92999, y = 26.71839 + x = 1.89813, y = 25.32071 + x = 3.13295, y = 140.04101 + x = -0.72427, y = -0.30446 + x = 2.08795, y = 34.55547 + x = 0.31528, y = 0.45590 + x = -2.09275, y = 12.30238 + x = 4.35180, y = 464.35949 + x = 1.76224, y = 19.98434 + x = -4.41401, y = 308.67622 + x = 4.60256, y = 572.02787 + x = -0.99671, y = -0.00654 + x = 2.50274, y = 63.67717 + x = -0.99666, y = -0.00664 + x = 1.30528, y = 8.13577 + x = -3.37041, y = 98.74474 + x = -3.42464, y = 105.68864 + x = -1.34105, y = 1.27987 + x = -4.75331, y = 420.93067 + x = 0.20193, y = 0.25260 + x = 4.34886, y = 463.19701 + x = 3.00013, y = 120.01818 + x = 2.04509, y = 32.27321 + x = -1.46521, y = 2.14497 + x = -2.51072, y = 27.70291 + x = -2.96685, y = 57.19933 + x = 0.48327, y = 0.88424 + x = -1.61433, y = 3.57619 + x = 4.70165, y = 619.39176 + x = -4.46760, y = 324.70034 + x = -1.16710, y = 0.46067 + x = 2.31712, y = 48.95353 + x = -4.68531, y = 396.30994 + x = 0.77651, y = 2.21125 + x = 4.62394, y = 582.00791 + x = 0.76487, y = 2.13963 + x = 0.65244, y = 1.53706 + x = 1.82136, y = 22.18555 + x = 0.32313, y = 0.47219 + x = 3.68381, y = 251.40327 + x = -1.09015, y = 0.21507 + x = 1.34636, y = 8.88542 + x = -3.53763, y = 121.32539 + x = -1.25795, y = 0.83799 + x = 2.64451, y = 77.04025 + x = -4.95772, y = 501.89343 + x = -1.61311, y = 3.56249 + x = -3.72581, y = 151.13625 + x = 2.83504, y = 98.25986 + x = 4.53601, y = 541.78988 + x = 4.28658, y = 439.05836 + x = 3.20715, y = 152.27969 + x = -3.69989, y = 146.73480 + x = -0.08204, y = -0.07581 + x = 1.56169, y = 13.75739 + x = 4.61287, y = 576.82424 + x = 1.58344, y = 14.34732 + x = -2.64356, y = 34.70838 + x = -0.34821, y = -0.25448 + x = -3.67692, y = 142.91570 + x = 4.66284, y = 600.50121 + x = 1.08589, y = 4.93591 + x = -0.97133, y = -0.05412 + x = 3.07842, y = 131.53629 + x = 1.67614, y = 17.08753 + x = -1.74380, y = 5.24114 + x = -2.45908, y = 25.28482 + x = -1.23930, y = 0.75206 + x = 1.35883, y = 9.12348 + x = 1.26301, y = 7.41755 + x = 3.24269, y = 158.42130 + x = -4.69883, y = 401.11672 + x = 0.82391, y = 2.52286 + x = -4.28932, y = 273.68963 + x = 0.91535, y = 3.22217 + x = -3.85829, y = 175.19701 + x = 1.70002, y = 17.85572 + x = -2.87288, y = 49.78831 + x = 1.97310, y = 28.70435 + x = -2.12359, y = 13.14620 + x = 0.44971, y = 0.78380 + x = -1.87317, y = 7.37448 + x = 3.73388, y = 264.10894 + x = 3.37857, y = 183.65497 + x = -4.13044, y = 233.52347 + x = 2.74701, y = 87.96504 + x = -1.71155, y = 4.78541 + x = -2.76373, y = 42.10696 + x = 4.10037, y = 372.53152 + x = 1.36774, y = 9.29669 + x = -1.77605, y = 5.72595 + x = -3.10825, y = 69.86310 + x = -4.53747, y = 346.52334 + x = 4.06013, y = 359.21720 + x = -4.55888, y = 353.42471 + x = -1.39132, y = 1.59840 + x = -4.47755, y = 327.74407 + x = -4.24831, y = 262.86076 + x = 2.82669, y = 97.24614 + x = 1.50280, y = 12.25555 + x = -1.65774, y = 4.08681 + x = -3.74023, y = 153.62690 + x = -0.69892, y = -0.31323 + x = -0.04137, y = -0.03973 + x = -0.91369, y = -0.14469 + x = 1.15975, y = 5.87371 + x = 4.47327, y = 514.40093 + x = -2.07846, y = 11.92499 + x = -0.95160, y = -0.08776 + x = 3.81468, y = 285.63126 + x = 1.32442, y = 8.47845 + x = -0.65283, y = -0.32324 + x = -1.74393, y = 5.24302 + x = 3.28405, y = 165.80371 + x = 3.09913, y = 134.71751 + x = 2.77109, y = 90.69541 + x = 0.62336, y = 1.40517 + x = -0.03146, y = -0.03050 + x = 2.63730, y = 76.31341 + x = -1.93254, y = 8.53276 + x = -2.26625, y = 17.60775 + x = -3.21077, y = 80.27469 + x = 0.93400, y = 3.38217 + x = 4.85603, y = 699.01209 + x = -2.07925, y = 11.94563 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.stt new file mode 100644 index 0000000..8f0811b --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 12.914 3.654 22 6 41 6 0.0000 0.0001 0.0000 12.914 3.654 22 6 41 6 +1 0 0.0000 0.0001 0.0000 12.030 3.802 22 6 31 6 0.0000 0.0001 0.0000 12.472 3.728 22 6 41 6 +2 0 0.0000 0.0001 0.0000 11.890 3.937 29 6 35 13 0.0000 0.0001 0.0000 12.278 3.798 29 6 41 6 +3 0 0.0000 0.0001 0.0000 11.795 4.039 25 8 6 5 0.0000 0.0001 0.0000 12.157 3.858 25 8 41 6 +4 0 0.0000 0.0003 0.0000 11.679 4.136 29 6 4 3 0.0000 0.0003 0.0000 12.062 3.914 29 6 41 6 +5 0 0.0000 0.0003 0.0000 11.926 4.283 29 6 34 9 0.0000 0.0003 0.0000 12.039 3.975 29 6 41 6 +6 0 0.0000 0.0003 0.0000 11.879 4.299 29 6 15 5 0.0000 0.0003 0.0000 12.016 4.022 29 6 41 6 +7 0 0.0000 0.0003 0.0000 12.355 4.455 29 6 43 12 0.0000 0.0003 0.0000 12.059 4.076 29 6 41 6 +8 0 0.0000 0.0003 0.0000 12.866 4.569 29 6 10 7 0.0000 0.0003 0.0000 12.148 4.131 29 6 41 6 +9 0 0.0000 0.0004 0.0000 14.282 4.847 33 9 43 8 0.0000 0.0004 0.0000 12.362 4.202 33 9 41 6 +10 0 0.0000 0.0004 0.0000 16.842 5.342 24 6 28 8 0.0000 0.0004 0.0000 12.769 4.306 24 6 41 6 +11 0 0.0001 0.0004 0.0000 20.952 6.036 24 6 64 14 0.0000 0.0004 0.0000 13.451 4.450 24 6 41 6 +12 0 0.0001 0.0005 0.0000 26.517 6.946 32 7 85 14 0.0000 0.0005 0.0000 14.456 4.642 32 7 41 6 +13 0 0.0001 0.0005 0.0000 32.744 7.963 32 7 34 9 0.0000 0.0005 0.0000 15.762 4.879 32 7 41 6 +14 0 0.0001 0.0005 0.0000 38.389 8.843 32 7 38 10 0.0000 0.0005 0.0000 17.271 5.143 32 7 41 6 +15 0 0.0001 0.0005 0.0000 43.024 9.510 32 7 70 15 0.0001 0.0005 0.0000 18.880 5.416 32 7 41 6 +16 0 0.0001 0.0005 0.0000 47.519 10.155 56 12 73 15 0.0001 0.0005 0.0000 20.565 5.695 56 12 41 6 +17 0 0.0001 0.0005 0.0000 51.717 10.731 56 12 75 14 0.0001 0.0005 0.0000 22.296 5.975 56 12 41 6 +18 0 0.0001 0.0005 0.0000 54.898 11.152 53 12 59 11 0.0001 0.0005 0.0000 24.011 6.247 53 12 41 6 +19 0 0.0002 0.0005 0.0000 57.872 11.555 53 12 50 13 0.0001 0.0005 0.0000 25.704 6.513 53 12 41 6 +20 0 0.0002 0.0006 0.0000 60.608 11.817 68 14 65 12 0.0001 0.0006 0.0000 27.367 6.765 68 14 41 6 +21 0 0.0002 0.0006 0.0000 63.663 12.088 68 14 94 17 0.0001 0.0006 0.0000 29.016 7.007 68 14 41 6 +22 0 0.0002 0.0007 0.0000 66.347 12.369 65 14 78 15 0.0001 0.0007 0.0000 30.639 7.240 65 14 41 6 +23 0 0.0002 0.0008 0.0000 68.637 12.575 65 14 82 12 0.0001 0.0008 0.0000 32.223 7.463 65 14 41 6 +24 0 0.0002 0.0008 0.0000 70.341 12.674 65 14 70 11 0.0001 0.0008 0.0000 33.747 7.671 65 14 41 6 +25 0 0.0002 0.0008 0.0000 73.223 12.904 76 16 80 17 0.0001 0.0008 0.0000 35.266 7.872 76 16 41 6 +26 0 0.0002 0.0008 0.0000 75.009 13.028 76 16 153 16 0.0001 0.0008 0.0000 36.738 8.063 76 16 41 6 +27 0 0.0002 0.0010 0.0000 76.116 13.156 67 14 80 15 0.0001 0.0010 0.0000 38.144 8.245 67 14 41 6 +28 0 0.0002 0.0010 0.0000 77.687 13.259 67 14 116 14 0.0001 0.0010 0.0000 39.508 8.418 67 14 41 6 +29 0 0.0002 0.0010 0.0000 79.559 13.383 64 14 107 16 0.0001 0.0010 0.0000 40.843 8.584 64 14 41 6 +30 0 0.0002 0.0010 0.0000 80.819 13.461 64 14 149 17 0.0001 0.0010 0.0000 42.132 8.741 64 14 41 6 +31 0 0.0002 0.0010 0.0000 82.987 13.587 64 14 70 15 0.0001 0.0010 0.0000 43.409 8.892 64 14 41 6 +32 0 0.0002 0.0010 0.0000 84.811 13.688 64 14 71 16 0.0001 0.0010 0.0000 44.664 9.038 64 14 41 6 +33 0 0.0002 0.0010 0.0000 87.645 13.760 64 14 79 17 0.0001 0.0010 0.0000 45.928 9.177 64 14 41 6 +34 0 0.0003 0.0010 0.0000 90.057 13.896 63 14 100 14 0.0001 0.0010 0.0000 47.189 9.311 63 14 41 6 +35 0 0.0003 0.0010 0.0000 91.163 13.984 63 14 127 16 0.0001 0.0010 0.0000 48.410 9.441 63 14 41 6 +36 0 0.0003 0.0010 0.0000 91.265 13.954 63 14 101 15 0.0001 0.0010 0.0000 49.568 9.563 63 14 41 6 +37 0 0.0003 0.0010 0.0000 93.478 14.050 63 14 94 14 0.0001 0.0010 0.0000 50.724 9.681 63 14 41 6 +38 0 0.0003 0.0010 0.0000 94.937 14.132 63 14 183 16 0.0001 0.0010 0.0000 51.858 9.795 63 14 41 6 +39 0 0.0003 0.0010 0.0000 96.486 14.288 63 14 70 12 0.0001 0.0010 0.0000 52.973 9.908 63 14 41 6 +40 0 0.0003 0.0010 0.0000 97.316 14.407 63 14 126 16 0.0002 0.0010 0.0000 54.055 10.017 63 14 41 6 +41 0 0.0003 0.0010 0.0000 97.749 14.513 63 14 217 17 0.0002 0.0010 0.0000 55.095 10.124 63 14 41 6 +42 0 0.0003 0.0010 0.0000 96.912 14.473 63 14 24 7 0.0002 0.0010 0.0000 56.068 10.226 63 14 41 6 +43 0 0.0003 0.0010 0.0000 97.670 14.551 59 13 111 16 0.0002 0.0010 0.0000 57.013 10.324 59 13 41 6 +44 0 0.0003 0.0010 0.0000 96.612 14.581 59 13 91 15 0.0002 0.0010 0.0000 57.893 10.419 59 13 41 6 +45 0 0.0003 0.0011 0.0000 96.138 14.635 65 17 51 10 0.0002 0.0011 0.0000 58.724 10.510 65 17 41 6 +46 0 0.0003 0.0011 0.0000 95.775 14.642 65 17 69 14 0.0002 0.0011 0.0000 59.513 10.598 65 17 41 6 +47 0 0.0003 0.0011 0.0000 96.477 14.774 63 17 104 17 0.0002 0.0011 0.0000 60.283 10.685 63 17 41 6 +48 0 0.0003 0.0011 0.0000 96.265 14.862 89 17 112 17 0.0002 0.0011 0.0000 61.017 10.770 89 17 41 6 +49 0 0.0004 0.0011 0.0000 94.967 14.858 89 17 98 17 0.0002 0.0011 0.0000 61.696 10.852 89 17 41 6 +50 0 0.0004 0.0011 0.0000 94.681 14.891 109 16 108 17 0.0002 0.0011 0.0000 62.343 10.931 109 16 41 6 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.sys new file mode 100644 index 0000000..7394e75 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_6/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 107. +creating initial population(s): + 5552 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 306168805 + freed: 305166205 + not freed: 1002600 + max allocated: 11099920 + malloc'ed blocks: 743375 + realloc'ed blocks: 11 + free'ed blocks: 743225 + +------- time ------- + overall: 5s wall + evaluation: 5s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33776 + freed: 33776 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.bst new file mode 100644 index 0000000..67f76e3 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.bst @@ -0,0 +1,39 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 97 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 595.4151 + standardized fitness: 595.4151 + adjusted fitness: 0.0017 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) + (/ 0.13246 + (exp (* (cos 0.04404) + (/ 0.13246 x))))) + (- (+ -0.10795 + (exp (+ (sin (- (+ (cos x) + (cos (+ x x))) + (log (log (/ 0.13246 + (log x)))))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (- (- (sin (cos (+ (/ (cos (log -0.63967)) + (/ (cos -0.31502) x)) + (/ x -0.63967)))) -0.26210) + (* (- (sin (- (+ (cos x) + (cos (/ x -0.63967))) + (/ 0.13246 x))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +TREE-equ: +y = exp(exp(log(((((((cos(x) * log(x)) - (0.13246 / exp((cos(0.04404) * (0.13246 / x))))) / ((-0.10795 + exp((sin(((cos(x) + cos((x + x))) - log(log((0.13246 / log(x)))))) + (0.17439 + cos(cos(-0.31502)))))) - ((sin(cos(((cos(log(-0.63967)) / (cos(-0.31502) / x)) + (x / -0.63967)))) - -0.26210) - ((sin(((cos(x) + cos((x / -0.63967))) - (0.13246 / x))) - (x / -0.63967)) * cos(exp(cos((x * -0.07133)))))))) - -0.26210) - (x / -0.63967)) * cos(exp(cos((x * -0.07133)))))))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.fn new file mode 100644 index 0000000..d50d50e --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.fn @@ -0,0 +1,2 @@ + +y = exp(exp(log(((((((cos(x) * log(x)) - (0.13246 / exp((cos(0.04404) * (0.13246 / x))))) / ((-0.10795 + exp((sin(((cos(x) + cos((x + x))) - log(log((0.13246 / log(x)))))) + (0.17439 + cos(cos(-0.31502)))))) - ((sin(cos(((cos(log(-0.63967)) / (cos(-0.31502) / x)) + (x / -0.63967)))) - -0.26210) - ((sin(((cos(x) + cos((x / -0.63967))) - (0.13246 / x))) - (x / -0.63967)) * cos(exp(cos((x * -0.07133)))))))) - -0.26210) - (x / -0.63967)) * cos(exp(cos((x * -0.07133)))))))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.his new file mode 100644 index 0000000..58c447a --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.his @@ -0,0 +1,1451 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 7 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11649.8331 + standardized fitness: 11649.8331 + adjusted fitness: 0.0001 +TREE: + (exp (exp (+ (log x) + (sin 0.34177)))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 7 + depth: 4 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11649.8331 + standardized fitness: 11649.8331 + adjusted fitness: 0.0001 +TREE: + (exp (exp (+ (log x) + (sin 0.34177)))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 17 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11536.9939 + standardized fitness: 11536.9939 + adjusted fitness: 0.0001 +TREE: + (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (* (cos (+ x x)) + (* x -0.76856)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 17 + depth: 5 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 11536.9939 + standardized fitness: 11536.9939 + adjusted fitness: 0.0001 +TREE: + (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (* (cos (+ x x)) + (* x -0.76856)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 27 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8216.2452 + standardized fitness: 8216.2452 + adjusted fitness: 0.0001 +TREE: + (exp (exp (log (* (- (- (log (sin (log x))) + (+ (exp (log -0.56757)) + (log (cos (cos 0.04404))))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 27 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8216.2452 + standardized fitness: 8216.2452 + adjusted fitness: 0.0001 +TREE: + (exp (exp (log (* (- (- (log (sin (log x))) + (+ (exp (log -0.56757)) + (log (cos (cos 0.04404))))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 27 + depth: 10 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8216.2452 + standardized fitness: 8216.2452 + adjusted fitness: 0.0001 +TREE: + (exp (exp (log (* (- (- (log (sin (log x))) + (+ (exp (log -0.56757)) + (log (cos (cos 0.04404))))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 24 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6449.6732 + standardized fitness: 6449.6732 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (log x) + (+ (exp (log -0.56757)) + (log (log x)))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 24 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6449.6732 + standardized fitness: 6449.6732 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (log x) + (+ (exp (log -0.56757)) + (log (log x)))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 7 + nodes: 24 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 6449.6732 + standardized fitness: 6449.6732 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (log x) + (+ (exp (log -0.56757)) + (log (log x)))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 20 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4758.3653 + standardized fitness: 4758.3653 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (log (sin (log x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 20 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4758.3653 + standardized fitness: 4758.3653 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (log (sin (log x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 10 + nodes: 20 + depth: 9 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4758.3653 + standardized fitness: 4758.3653 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (log (sin (log x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 39 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 4107.1612 + standardized fitness: 4107.1612 + adjusted fitness: 0.0002 +TREE: + (exp (exp (log (* (- (- (/ (/ -0.18067 x) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos -0.31502)))))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 54 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3557.1203 + standardized fitness: 3557.1203 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (sin (log (/ (sin (- (log 0.70326) + (- x 0.19231))) + (log x))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos -0.31502)))))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 14 + nodes: 54 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3557.1203 + standardized fitness: 3557.1203 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (sin (log (/ (sin (- (log 0.70326) + (- x 0.19231))) + (log x))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos -0.31502)))))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 55 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3486.7899 + standardized fitness: 3486.7899 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (sin (log (/ (sin (- (log 0.70326) + (- x 0.19231))) + (log x))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (+ (- (exp 0.86316) + (sin x)) + (+ x -0.51638))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 16 + nodes: 55 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3486.7899 + standardized fitness: 3486.7899 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (sin (log (/ (sin (- (log 0.70326) + (- x 0.19231))) + (log x))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (+ (- (exp 0.86316) + (sin x)) + (+ x -0.51638))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 54 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3315.5987 + standardized fitness: 3315.5987 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (sin (log (- (* (cos (cos (log x))) + (exp x)) + (exp (- 0.18865 x)))))) + (- (+ (/ x + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos -0.31502)))))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 54 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3301.7543 + standardized fitness: 3301.7543 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (sin (log (- (* (cos (cos (log x))) + (exp x)) + (exp (+ x 0.43273)))))) + (- (+ (/ x + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos -0.31502)))))) + (exp x))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 74 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3103.5371 + standardized fitness: 3103.5371 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (- (exp (exp x)) + (- (sin (* x x)) + (log x))) + (/ 0.20618 0.89010))) + (+ (- (- x x) + (/ x -0.10795)) + (cos (cos (cos (log (- x x))))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos (exp 0.55222))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 20 + nodes: 74 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3103.5371 + standardized fitness: 3103.5371 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (- (exp (exp x)) + (- (sin (* x x)) + (log x))) + (/ 0.20618 0.89010))) + (+ (- (- x x) + (/ x -0.10795)) + (cos (cos (cos (log (- x x))))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos (exp 0.55222))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 20 + nodes: 74 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3103.5371 + standardized fitness: 3103.5371 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (- (exp (exp x)) + (- (sin (* x x)) + (log x))) + (/ 0.20618 0.89010))) + (+ (- (- x x) + (/ x -0.10795)) + (cos (cos (cos (log (- x x))))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (cos (cos (exp 0.55222))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 66 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3085.7191 + standardized fitness: 3085.7191 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (- (+ x + (+ x x)) + (+ x x)) + (- (+ (/ (+ x x) + (/ (cos -0.31502) x)) + (exp (+ (sin (- (+ (* -0.69639 0.46626) + (cos (log -0.19244))) + (log (exp (* (cos 0.04404) + (sin 0.22158)))))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (sin (- (log 0.70326) + (- x 0.19231))))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 67 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3043.6916 + standardized fitness: 3043.6916 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (sin x) + (/ 0.20618 0.89010))) + (+ (- (- x x) + (/ x -0.10795)) + (cos (cos (cos (log (- x x))))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ (* x -0.07133) + (+ 0.17439 + (cos (cos (exp 0.55222))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 24 + nodes: 67 + depth: 15 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 3043.6916 + standardized fitness: 3043.6916 + adjusted fitness: 0.0003 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (sin x) + (/ 0.20618 0.89010))) + (+ (- (- x x) + (/ x -0.10795)) + (cos (cos (cos (log (- x x))))))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ (* x -0.07133) + (+ 0.17439 + (cos (cos (exp 0.55222))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 74 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2552.3268 + standardized fitness: 2552.3268 + adjusted fitness: 0.0004 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (- (exp (exp x)) + (- (sin (* x x)) + (log x))) + (/ 0.20618 0.89010))) + (+ (- (cos (log 0.70326)) + (/ x -0.10795)) + (cos -0.69201))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (* (cos (- 0.27523 x)) + (exp (exp (sin 0.52257)))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 26 + nodes: 74 + depth: 16 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 2552.3268 + standardized fitness: 2552.3268 + adjusted fitness: 0.0004 +TREE: + (exp (exp (log (* (- (- (/ (+ (cos (/ (- (exp (exp x)) + (- (sin (* x x)) + (log x))) + (/ 0.20618 0.89010))) + (+ (- (cos (log 0.70326)) + (/ x -0.10795)) + (cos -0.69201))) + (- (+ (/ (+ x x) + (/ 0.13246 x)) + (exp (+ x + (+ 0.17439 + (* (cos (- 0.27523 x)) + (exp (exp (sin 0.52257)))))))) + (- (- x x) + (/ x -0.10795)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 28 + nodes: 81 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1585.2925 + standardized fitness: 1585.2925 + adjusted fitness: 0.0006 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) + (/ 0.13246 x)) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x + (* x x)))) + (log (exp (* (cos 0.04404) + (sin 0.22158)))))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (- (- (sin (cos (+ (/ (+ x x) + (/ 0.13246 x)) + (+ (- (exp 0.86316) + (sin x)) + (+ x -0.51638))))) -0.26210) + (/ x -0.63967)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 28 + nodes: 81 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1585.2925 + standardized fitness: 1585.2925 + adjusted fitness: 0.0006 +TREE: + (exp (exp (log 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hits: 0 + raw fitness: 904.6618 + standardized fitness: 904.6618 + adjusted fitness: 0.0011 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) 0.37744) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x + (* x x)))) + (log (exp (* (cos 0.04404) + (sin 0.22158)))))) + (+ 0.17439 + (cos (/ (sin x) + (sin 0.63564))))))) + (- (/ 0.13246 x) + (/ x -0.63967)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 40 + nodes: 63 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 808.9279 + standardized fitness: 808.9279 + adjusted fitness: 0.0012 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) 0.37744) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x x))) + (log (exp (* (cos 0.04404) + (sin 0.22158)))))) + (+ 0.17439 + (cos (sin (exp 0.41814))))))) + (- (- (sin (* x -0.07133)) -0.26210) + (/ x -0.63967)))) -0.26210) + (/ x -0.63967)) + (cos 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nodes: 73 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 748.2187 + standardized fitness: 748.2187 + adjusted fitness: 0.0013 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) 0.37744) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x + (* x x)))) + (log (exp 0.79077)))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (- (- (sin (cos (+ (/ (cos (* x -0.07133)) + (cos -0.31502)) + (+ (/ 0.13246 x) + (+ x -0.51638))))) -0.26210) + (/ x -0.63967)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 41 + nodes: 73 + depth: 17 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 748.2187 + standardized fitness: 748.2187 + adjusted fitness: 0.0013 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) 0.37744) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x + (* x x)))) + (log (exp 0.79077)))) + (+ 0.17439 + (cos (cos 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fitness: 649.9953 + standardized fitness: 649.9953 + adjusted fitness: 0.0015 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) 0.37744) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x + (/ x -0.63967)))) + (log (exp (* (+ x -0.51638) + (sin 0.22158)))))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (- (- (sin (cos (+ (/ (+ x x) + (cos 0.04404)) + (+ (- (exp 0.86316) + (/ (cos x) + (log x))) -0.31502)))) -0.26210) + (/ x -0.63967)))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 47 + nodes: 80 + depth: 17 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 649.9953 + standardized fitness: 649.9953 + adjusted fitness: 0.0015 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) 0.37744) + (- (+ (/ 0.13246 x) + (exp (+ (sin (- (+ (cos x) + (cos (+ x + (/ x -0.63967)))) + (log (exp (* (+ x -0.51638) + (sin 0.22158)))))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (- 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#1 -- + hits: 0 + raw fitness: 595.4151 + standardized fitness: 595.4151 + adjusted fitness: 0.0017 +TREE: + (exp (exp (log (* (- (- (/ (- (* (cos x) + (log x)) + (/ 0.13246 + (exp (* (cos 0.04404) + (/ 0.13246 x))))) + (- (+ -0.10795 + (exp (+ (sin (- (+ (cos x) + (cos (+ x x))) + (log (log (/ 0.13246 + (log x)))))) + (+ 0.17439 + (cos (cos -0.31502)))))) + (- (- (sin (cos (+ (/ (cos (log -0.63967)) + (/ (cos -0.31502) x)) + (/ x -0.63967)))) -0.26210) + (* (- (sin (- (+ (cos x) + (cos (/ x -0.63967))) + (/ 0.13246 x))) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) -0.26210) + (/ x -0.63967)) + (cos (exp (cos (* x -0.07133)))))))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.prg new file mode 100644 index 0000000..06baf7d --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = -1.56005, y = 3.00006 + x = 1.88494, y = 24.75910 + x = -1.78753, y = 5.90578 + x = -4.57411, y = 358.39821 + x = -3.54659, y = 122.63484 + x = -3.19521, y = 78.62457 + x = -1.35975, y = 1.39358 + x = -4.39040, y = 301.80794 + x = -4.16060, y = 240.78464 + x = 4.69495, y = 616.09898 + x = 3.42243, y = 192.41727 + x = 0.82498, y = 2.53024 + x = 4.38926, y = 479.37967 + x = 1.15511, y = 5.81098 + x = 3.17406, y = 146.72549 + x = 4.32862, y = 455.24249 + x = 3.42282, y = 192.49618 + x = 1.70565, y = 18.04079 + x = 3.75641, y = 269.98072 + x = 4.88341, y = 713.90438 + x = 4.23757, y = 420.74281 + x = -2.30238, y = 18.89387 + x = -2.18415, y = 14.92475 + x = 3.40191, y = 188.27991 + x = 3.57367, y = 225.08621 + x = -3.21899, y = 81.15740 + x = -1.93079, y = 8.49694 + x = 1.24578, y = 7.13973 + x = 1.91654, y = 26.12117 + x = -0.28765, y = -0.22186 + x = 2.96120, y = 114.58544 + x = 3.00073, y = 120.10384 + x = -3.68976, y = 145.04125 + x = -4.68745, y = 397.06681 + x = 3.92815, y = 318.06708 + x = -2.50861, y = 27.60083 + x = 1.97428, y = 28.76003 + x = 0.21118, y = 0.26718 + x = 4.07569, y = 364.32448 + x = 4.40964, y = 487.70602 + x = 4.99873, y = 779.25780 + x = -2.88664, y = 50.82600 + x = -1.92581, y = 8.39530 + x = 0.14278, y = 0.16649 + x = 3.94071, y = 321.82217 + x = -4.53680, y = 346.30836 + x = -4.08746, y = 223.46349 + x = -0.75381, y = -0.29103 + x = -3.24432, y = 83.92179 + x = -4.76646, y = 425.82180 + x = 4.20871, y = 410.22998 + x = 3.17328, y = 146.59613 + x = 0.24901, y = 0.33030 + x = 2.26396, y = 45.26407 + x = 1.33608, y = 8.69286 + x = 0.43922, y = 0.75409 + x = 0.57471, y = 1.20390 + x = -2.10008, y = 12.49932 + x = -3.50226, y = 116.25635 + x = 3.96202, y = 328.26887 + x = -0.16949, y = -0.14481 + x = 3.42908, y = 193.77243 + x = -3.46610, y = 111.23898 + x = -3.57024, y = 126.14481 + x = 4.69621, y = 616.72065 + x = 1.30907, y = 8.20260 + x = -2.24922, y = 17.02424 + x = -0.75352, y = -0.29118 + x = 2.21440, y = 42.02159 + x = 2.71086, y = 83.98571 + x = 3.41607, y = 191.12819 + x = -0.82337, y = -0.24402 + x = -0.05002, y = -0.04764 + x = 3.52286, y = 213.67667 + x = -4.32529, y = 283.45983 + x = -3.93571, y = 190.52500 + x = 2.44861, y = 59.07380 + x = 0.55189, y = 1.11734 + x = -2.93417, y = 54.53461 + x = -1.86555, y = 7.23444 + x = 1.20630, y = 6.53431 + x = -4.83071, y = 450.33481 + x = -0.25196, y = -0.20044 + x = 2.95452, y = 113.67273 + x = 4.88185, y = 713.04528 + x = 4.53212, y = 540.05867 + x = 1.46683, y = 11.40378 + x = 4.88048, y = 712.29859 + x = -4.38366, y = 299.86723 + x = -2.38092, y = 21.92585 + x = 4.74061, y = 638.80348 + x = -2.27220, y = 17.81507 + x = 2.99678, y = 119.54272 + x = -3.63517, y = 136.16414 + x = -4.00643, y = 205.38597 + x = 0.82210, y = 2.51036 + x = 2.16339, y = 38.87355 + x = -0.44867, y = -0.29716 + x = -0.53193, y = -0.31943 + x = 2.87642, y = 103.40487 + x = -1.98541, y = 9.66848 + x = 0.36065, y = 0.55455 + x = -2.81964, y = 45.92228 + x = 3.62123, y = 236.17894 + x = -0.97276, y = -0.05157 + x = 4.03942, y = 352.50856 + x = -1.57476, y = 3.14966 + x = 2.29449, y = 47.35591 + x = 2.38211, y = 53.77300 + x = 1.80396, y = 21.51909 + x = 3.97239, y = 331.44142 + x = 0.69422, y = 1.74302 + x = -2.71642, y = 39.06707 + x = 3.87865, y = 303.59326 + x = 4.22141, y = 414.83278 + x = -2.89729, y = 51.64048 + x = -4.56770, y = 356.29752 + x = -4.83093, y = 450.42052 + x = -4.56381, y = 355.03015 + x = -1.12589, y = 0.32141 + x = 4.14568, y = 387.96308 + x = 3.19946, y = 150.97341 + x = 4.77841, y = 658.07210 + x = 4.33798, y = 458.90903 + x = -0.30373, y = -0.23099 + x = -1.94458, y = 8.78251 + x = -3.00373, y = 60.32108 + x = 1.32875, y = 8.55758 + x = -0.50438, y = -0.31357 + x = -3.36471, y = 98.03524 + x = 2.63905, y = 76.48897 + x = -4.84588, y = 456.27333 + x = 3.16978, y = 146.01819 + x = 0.26187, y = 0.35311 + x = -0.83794, y = -0.23114 + x = -4.48792, y = 330.93836 + x = 2.88571, y = 104.58769 + x = 0.86939, y = 2.85363 + x = 3.73311, y = 263.90813 + x = 2.77914, y = 91.62184 + x = 4.09982, y = 372.34641 + x = 1.29776, y = 8.00409 + x = 4.44430, y = 502.11190 + x = 1.74223, y = 19.27934 + x = -1.52659, y = 2.67736 + x = -3.45885, y = 110.25270 + x = -2.05061, y = 11.21359 + x = 3.65879, y = 245.23048 + x = 1.66856, y = 16.84919 + x = 2.93815, y = 111.45907 + x = -1.17417, y = 0.48645 + x = -4.16536, y = 241.94545 + x = -4.94430, y = 496.24277 + x = -2.16722, y = 14.41074 + x = -4.76263, y = 424.39296 + x = -2.13953, y = 13.59852 + x = 2.19087, y = 40.54604 + x = 1.91848, y = 26.20679 + x = -0.54083, y = -0.32097 + x = -1.48484, y = 2.30710 + x = -3.84629, y = 172.90709 + x = 2.55585, y = 68.45601 + x = 3.56139, y = 222.28601 + x = 4.60297, y = 572.21850 + x = 2.70414, y = 83.26110 + x = -2.32537, y = 19.74725 + x = 1.24992, y = 7.20583 + x = 0.54135, y = 1.07893 + x = 0.40525, y = 0.66299 + x = 2.68026, y = 80.72538 + x = 4.15332, y = 390.61255 + x = -3.22649, y = 81.96849 + x = -1.49949, y = 2.43303 + x = -2.50196, y = 27.28145 + x = -4.95172, y = 499.36136 + x = 3.31104, y = 170.75960 + x = 3.14375, y = 141.77404 + x = 1.94562, y = 27.42580 + x = 4.10061, y = 372.61202 + x = -3.16419, y = 75.41035 + x = 0.86455, y = 2.81686 + x = 0.07779, y = 0.08435 + x = -3.13042, y = 72.02334 + x = -4.01954, y = 208.23367 + x = -4.51842, y = 340.46702 + x = -4.91680, y = 484.82255 + x = -3.40727, y = 103.42527 + x = 3.56681, y = 223.51906 + x = 2.55773, y = 68.63006 + x = -3.51257, y = 117.71744 + x = -0.73785, y = -0.29873 + x = -2.65564, y = 35.40459 + x = -4.53586, y = 346.00717 + x = -3.94715, y = 192.87349 + x = 3.62582, y = 237.27181 + x = 2.32631, y = 49.61413 + x = -2.20275, y = 15.50433 + x = 1.94626, y = 27.45502 + x = 1.69395, y = 17.65799 + x = 0.16237, y = 0.19371 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.stt new file mode 100644 index 0000000..7a9be05 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.010 3.668 7 4 18 5 0.0000 0.0001 0.0000 13.010 3.668 7 4 18 5 +1 0 0.0000 0.0001 0.0000 12.571 3.904 7 4 27 7 0.0000 0.0001 0.0000 12.791 3.786 7 4 27 7 +2 0 0.0000 0.0001 0.0000 12.588 4.116 17 5 16 7 0.0000 0.0001 0.0000 12.723 3.896 17 5 27 7 +3 0 0.0000 0.0001 0.0000 12.558 4.251 17 5 5 3 0.0000 0.0001 0.0000 12.682 3.985 17 5 27 7 +4 0 0.0000 0.0001 0.0000 12.761 4.375 27 10 24 8 0.0000 0.0001 0.0000 12.698 4.063 27 10 27 7 +5 0 0.0000 0.0001 0.0000 12.688 4.440 27 10 13 7 0.0000 0.0001 0.0000 12.696 4.126 27 10 27 7 +6 0 0.0000 0.0001 0.0000 12.975 4.572 27 10 11 7 0.0000 0.0001 0.0000 12.736 4.189 27 10 27 7 +7 0 0.0000 0.0002 0.0000 13.472 4.729 24 9 10 4 0.0000 0.0002 0.0000 12.828 4.257 24 9 27 7 +8 0 0.0000 0.0002 0.0000 13.966 4.879 24 9 16 5 0.0000 0.0002 0.0000 12.954 4.326 24 9 27 7 +9 0 0.0000 0.0002 0.0000 14.687 5.001 24 9 34 12 0.0000 0.0002 0.0000 13.128 4.394 24 9 27 7 +10 0 0.0000 0.0002 0.0000 15.994 5.256 20 9 20 7 0.0000 0.0002 0.0000 13.388 4.472 20 9 27 7 +11 0 0.0000 0.0002 0.0000 17.983 5.633 20 9 41 10 0.0000 0.0002 0.0000 13.771 4.569 20 9 27 7 +12 0 0.0000 0.0002 0.0000 20.907 6.196 20 9 45 8 0.0000 0.0002 0.0000 14.320 4.694 20 9 27 7 +13 0 0.0000 0.0002 0.0000 24.030 6.761 39 14 20 6 0.0000 0.0002 0.0000 15.014 4.841 39 14 27 7 +14 0 0.0000 0.0003 0.0000 27.590 7.376 54 14 34 8 0.0000 0.0003 0.0000 15.852 5.010 54 14 27 7 +15 0 0.0001 0.0003 0.0000 31.106 7.987 54 14 72 12 0.0000 0.0003 0.0000 16.805 5.196 54 14 27 7 +16 0 0.0001 0.0003 0.0000 34.457 8.531 55 14 45 12 0.0000 0.0003 0.0000 17.844 5.393 55 14 27 7 +17 0 0.0001 0.0003 0.0000 37.336 9.021 55 14 55 17 0.0000 0.0003 0.0000 18.927 5.594 55 14 27 7 +18 0 0.0001 0.0003 0.0000 40.317 9.555 54 15 67 13 0.0000 0.0003 0.0000 20.052 5.803 54 15 27 7 +19 0 0.0001 0.0003 0.0000 42.753 10.106 54 15 37 12 0.0000 0.0003 0.0000 21.187 6.018 54 15 27 7 +20 0 0.0001 0.0003 0.0000 46.432 10.802 74 15 38 13 0.0000 0.0003 0.0000 22.390 6.246 74 15 27 7 +21 0 0.0001 0.0003 0.0000 49.861 11.568 74 15 33 13 0.0000 0.0003 0.0000 23.638 6.488 74 15 27 7 +22 0 0.0001 0.0003 0.0000 52.112 12.335 74 15 25 9 0.0000 0.0003 0.0000 24.876 6.742 74 15 27 7 +23 0 0.0001 0.0003 0.0000 53.785 12.938 66 17 10 6 0.0001 0.0003 0.0000 26.081 7.000 66 17 27 7 +24 0 0.0001 0.0003 0.0000 55.382 13.401 67 15 61 16 0.0001 0.0003 0.0000 27.253 7.256 67 15 27 7 +25 0 0.0001 0.0003 0.0000 57.032 13.727 67 15 30 11 0.0001 0.0003 0.0000 28.398 7.505 67 15 27 7 +26 0 0.0002 0.0004 0.0000 59.138 14.121 74 16 26 7 0.0001 0.0004 0.0000 29.537 7.750 74 16 27 7 +27 0 0.0002 0.0004 0.0000 59.802 14.152 74 16 83 17 0.0001 0.0004 0.0000 30.618 7.979 74 16 27 7 +28 0 0.0002 0.0006 0.0000 60.545 14.190 81 17 5 4 0.0001 0.0006 0.0000 31.650 8.193 81 17 27 7 +29 0 0.0002 0.0006 0.0000 60.695 14.178 81 17 31 11 0.0001 0.0006 0.0000 32.618 8.392 81 17 27 7 +30 0 0.0002 0.0007 0.0000 61.628 14.234 79 17 9 4 0.0001 0.0007 0.0000 33.554 8.581 79 17 27 7 +31 0 0.0002 0.0007 0.0000 63.592 14.479 79 17 10 7 0.0001 0.0007 0.0000 34.492 8.765 79 17 27 7 +32 0 0.0002 0.0007 0.0000 64.374 14.449 79 17 31 10 0.0001 0.0007 0.0000 35.398 8.937 79 17 27 7 +33 0 0.0002 0.0007 0.0000 65.607 14.549 42 12 26 10 0.0001 0.0007 0.0000 36.286 9.102 42 12 27 7 +34 0 0.0002 0.0007 0.0000 66.469 14.555 82 17 54 17 0.0001 0.0007 0.0000 37.149 9.258 82 17 27 7 +35 0 0.0002 0.0008 0.0000 67.719 14.626 66 17 41 13 0.0001 0.0008 0.0000 37.998 9.407 66 17 27 7 +36 0 0.0002 0.0008 0.0000 68.320 14.667 63 17 33 11 0.0001 0.0008 0.0000 38.817 9.549 63 17 27 7 +37 0 0.0002 0.0008 0.0000 68.028 14.635 76 17 16 7 0.0001 0.0008 0.0000 39.586 9.683 76 17 27 7 +38 0 0.0002 0.0009 0.0000 68.541 14.679 47 14 37 12 0.0001 0.0009 0.0000 40.328 9.811 47 14 27 7 +39 0 0.0002 0.0011 0.0000 69.061 14.753 64 17 21 8 0.0001 0.0011 0.0000 41.047 9.935 64 17 27 7 +40 0 0.0002 0.0012 0.0000 69.305 14.852 63 17 34 11 0.0001 0.0012 0.0000 41.736 10.055 63 17 27 7 +41 0 0.0002 0.0013 0.0000 69.690 14.898 73 17 34 9 0.0001 0.0013 0.0000 42.402 10.170 73 17 27 7 +42 0 0.0002 0.0013 0.0000 69.745 15.017 73 17 52 15 0.0001 0.0013 0.0000 43.037 10.283 73 17 27 7 +43 0 0.0002 0.0013 0.0000 69.028 14.988 73 17 57 16 0.0001 0.0013 0.0000 43.628 10.390 73 17 27 7 +44 0 0.0003 0.0013 0.0000 69.164 15.148 73 17 18 7 0.0001 0.0013 0.0000 44.196 10.496 73 17 27 7 +45 0 0.0003 0.0013 0.0000 68.080 15.124 73 17 85 17 0.0001 0.0013 0.0000 44.715 10.596 73 17 27 7 +46 0 0.0003 0.0014 0.0000 67.649 15.141 73 17 28 8 0.0001 0.0014 0.0000 45.203 10.693 73 17 27 7 +47 0 0.0003 0.0015 0.0000 67.151 15.230 80 17 16 8 0.0001 0.0015 0.0000 45.660 10.787 80 17 27 7 +48 0 0.0003 0.0015 0.0000 66.125 15.186 80 17 52 12 0.0001 0.0015 0.0000 46.078 10.877 80 17 27 7 +49 0 0.0004 0.0015 0.0000 66.446 15.273 80 17 115 17 0.0001 0.0015 0.0000 46.485 10.965 80 17 27 7 +50 0 0.0004 0.0017 0.0000 66.025 15.191 97 17 26 7 0.0001 0.0017 0.0000 46.868 11.048 97 17 27 7 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.sys new file mode 100644 index 0000000..af5edc9 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_7/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1687. +creating initial population(s): + 5666 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 237452614 + freed: 236450014 + not freed: 1002600 + max allocated: 8624841 + malloc'ed blocks: 730667 + realloc'ed blocks: 10 + free'ed blocks: 730517 + +------- time ------- + overall: 4s wall + evaluation: 3s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33552 + freed: 33552 + allocated: 13500 + blocks: 26 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.bst new file mode 100644 index 0000000..338cbb2 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.bst @@ -0,0 +1,44 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 117 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1501.6787 + standardized fitness: 1501.6787 + adjusted fitness: 0.0007 +TREE: + (+ (- (- (log (- (+ x + (+ (+ (exp (exp (- (+ x + (* 0.09009 0.49060)) + (+ 0.03372 + (cos x))))) + (+ (sin 0.03372) + (cos (exp (+ (exp (+ x 0.69175)) 0.81505))))) + (cos (sin 0.25235)))) + (- (* 0.69146 -0.86201) + (+ (+ (+ (exp (exp (+ (log x) + (log x)))) + (log (log (cos 0.07980)))) + (sin (* (cos (+ x -0.99222)) + (cos (* x -0.62435))))) 0.81505)))) + (sin (exp (exp (+ (- (* 0.00559 0.20695) + (exp (+ 0.91897 x))) + (sin 0.25235)))))) + (sin (+ (+ (/ (+ (- 0.81664 + (log x)) x) + (cos -0.06996)) + (cos (* 0.03372 x))) 0.81505))) + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (+ (log (cos x)) + (/ (+ -0.33718 0.37605) + (+ x x)))) + (exp x))) +TREE-equ: +y = (((log(((x + ((exp(exp(((x + (0.09009 * 0.49060)) - (0.03372 + cos(x))))) + (sin(0.03372) + cos(exp((exp((x + 0.69175)) + 0.81505))))) + cos(sin(0.25235)))) - ((0.69146 * -0.86201) - (((exp(exp((log(x) + log(x)))) + log(log(cos(0.07980)))) + sin((cos((x + -0.99222)) * cos((x * -0.62435))))) + 0.81505)))) - sin(exp(exp((((0.00559 * 0.20695) - exp((0.91897 + x))) + sin(0.25235)))))) - sin((((((0.81664 - log(x)) + x) / cos(-0.06996)) + cos((0.03372 * x))) + 0.81505))) + ((exp(exp((log(x) + sin(0.25235)))) + (log(cos(x)) + ((-0.33718 + 0.37605) / (x + x)))) + exp(x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.fn new file mode 100644 index 0000000..5aca5ea --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.fn @@ -0,0 +1,2 @@ + +y = (((log(((x + ((exp(exp(((x + (0.09009 * 0.49060)) - (0.03372 + cos(x))))) + (sin(0.03372) + cos(exp((exp((x + 0.69175)) + 0.81505))))) + cos(sin(0.25235)))) - ((0.69146 * -0.86201) - (((exp(exp((log(x) + log(x)))) + log(log(cos(0.07980)))) + sin((cos((x + -0.99222)) * cos((x * -0.62435))))) + 0.81505)))) - sin(exp(exp((((0.00559 * 0.20695) - exp((0.91897 + x))) + sin(0.25235)))))) - sin((((((0.81664 - log(x)) + x) / cos(-0.06996)) + cos((0.03372 * x))) + 0.81505))) + ((exp(exp((log(x) + sin(0.25235)))) + (log(cos(x)) + ((-0.33718 + 0.37605) / (x + x)))) + exp(x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.his new file mode 100644 index 0000000..50e8c25 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.his @@ -0,0 +1,1847 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 30 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8291.4058 + standardized fitness: 8291.4058 + adjusted fitness: 0.0001 +TREE: + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (log (- (cos (sin 0.83643)) + (- (- x x) + (+ x 0.81505))))) + (cos (sin (exp (+ (* 0.03372 x) + (sin x)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 30 + depth: 6 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8291.4058 + standardized fitness: 8291.4058 + adjusted fitness: 0.0001 +TREE: + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (log (- (cos (sin 0.83643)) + (- (- x x) + (+ x 0.81505))))) + (cos (sin (exp (+ (* 0.03372 x) + (sin x)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 48 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8125.4155 + standardized fitness: 8125.4155 + adjusted fitness: 0.0001 +TREE: + (+ (- (- (log (sin (exp 0.08645))) + (sin (exp (- 0.67540 0.47532)))) + (- (- -0.71478 x) + (exp 0.26101))) + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (log (- (cos (sin 0.83643)) + (- (- x x) + (+ x 0.81505))))) + (cos (sin (exp (+ (* 0.03372 x) + (sin x))))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 43 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 8119.2476 + standardized fitness: 8119.2476 + adjusted fitness: 0.0001 +TREE: + (+ (- (- (log (sin (exp 0.08645))) + (sin (exp (- 0.67540 0.47532)))) + (- (- -0.71478 x) + (exp 0.26101))) + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (log (- (cos (sin 0.83643)) + (- (- x x) + (+ x 0.81505))))) + (cos (sin (cos -0.72423))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 52 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7992.5955 + standardized fitness: 7992.5955 + adjusted fitness: 0.0001 +TREE: + (+ (- (- (log (sin (exp 0.08645))) + (sin (exp (- 0.67540 0.47532)))) + (- (- -0.71478 x) + (exp (exp (cos (/ -0.95937 0.94890)))))) + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (log (- (cos (sin 0.83643)) + (- (- x x) + (+ x 0.81505))))) + (cos (sin (exp (+ (* 0.03372 x) + (sin x))))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 52 + depth: 7 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 7992.5955 + 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(exp (+ (log x) + (sin 0.25235)))) + (+ (log (sin (+ 0.03372 + (cos x)))) + (/ (+ -0.33718 0.37605) + (+ x x)))) + (exp x))) +=== BEST-OF-RUN === + current generation: 49 + generation: 49 + nodes: 122 + depth: 14 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1510.7186 + standardized fitness: 1510.7186 + adjusted fitness: 0.0007 +TREE: + (+ (- (- (log (- (+ x + (+ (+ (exp (exp (- (+ x + (* 0.09009 0.49060)) + (+ 0.03372 + (cos x))))) + (log (sin (/ x + (sin -0.37379))))) + (cos (sin 0.25235)))) + (- (* 0.69146 -0.86201) + (+ (+ (+ (exp (exp (+ (log x) + (log x)))) + (log (log (cos 0.07980)))) + (cos (+ (exp (log (- (log x) + (* 0.30691 -0.71954)))) + (+ 0.03372 + (cos x))))) 0.81505)))) + (sin (exp (exp (+ (- (/ -0.39105 + (- -0.26640 x)) + (exp (+ 0.91897 x))) + (sin 0.25235)))))) + (sin (+ (+ (+ (exp (+ x x)) + (log (exp (+ (log x) + (sin 0.25235))))) + (cos (* 0.03372 x))) 0.81505))) + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (+ (log (sin (+ 0.03372 + (cos x)))) + (/ (+ -0.33718 0.37605) x))) + (exp x))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 117 + depth: 14 + hits: 0 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 0 + raw fitness: 1501.6787 + standardized fitness: 1501.6787 + adjusted fitness: 0.0007 +TREE: + (+ (- (- (log (- (+ x + (+ (+ (exp (exp (- (+ x + (* 0.09009 0.49060)) + (+ 0.03372 + (cos x))))) + (+ (sin 0.03372) + (cos (exp (+ (exp (+ x 0.69175)) 0.81505))))) + (cos (sin 0.25235)))) + (- (* 0.69146 -0.86201) + (+ (+ (+ (exp (exp (+ (log x) + (log x)))) + (log (log (cos 0.07980)))) + (sin (* (cos (+ x -0.99222)) + (cos (* x -0.62435))))) 0.81505)))) + (sin (exp (exp (+ (- (* 0.00559 0.20695) + (exp (+ 0.91897 x))) + (sin 0.25235)))))) + (sin (+ (+ (/ (+ (- 0.81664 + (log x)) x) + (cos -0.06996)) + (cos (* 0.03372 x))) 0.81505))) + (+ (+ (exp (exp (+ (log x) + (sin 0.25235)))) + (+ (log (cos x)) + (/ (+ -0.33718 0.37605) + (+ x x)))) + (exp x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.prg new file mode 100644 index 0000000..e5e9d94 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 0.93624, y = 3.40178 + x = -4.36805, y = 295.41055 + x = 3.77878, y = 275.91183 + x = 4.97114, y = 763.22695 + x = -4.51150, y = 338.28675 + x = 2.27923, y = 46.30169 + x = 2.48969, y = 62.54248 + x = -3.43167, y = 106.61448 + x = 1.44553, y = 10.92176 + x = 0.14072, y = 0.16370 + x = -0.84804, y = -0.22154 + x = 1.52739, y = 12.86600 + x = -0.43406, y = -0.29194 + x = -4.96738, y = 505.98782 + x = -4.73751, y = 415.11209 + x = 4.46502, y = 510.87976 + x = 4.04983, y = 355.87052 + x = -2.35599, y = 20.92740 + x = 3.09668, y = 134.33830 + x = -4.38505, y = 300.26618 + x = 1.77940, y = 20.60505 + x = -1.89227, y = 7.73406 + x = -0.96607, y = -0.06336 + x = -3.80135, y = 164.52866 + x = 1.15778, y = 5.84704 + x = 1.07101, y = 4.76239 + x = -4.38824, y = 301.18448 + x = 1.51949, y = 12.66740 + x = -1.91878, y = 8.25359 + x = -1.93281, y = 8.53836 + x = -4.27994, y = 271.18345 + x = 3.27471, y = 164.11328 + x = -4.10186, y = 226.79731 + x = 0.49412, y = 0.91853 + x = 0.75134, y = 2.05867 + x = -2.63194, y = 34.04849 + x = -4.01083, y = 206.33909 + x = 2.14826, y = 37.97585 + x = -2.71394, y = 38.91205 + x = 3.00332, y = 120.47143 + x = -2.90946, y = 52.58247 + x = 2.99546, y = 119.35664 + x = -3.82516, y = 168.92816 + x = -3.75554, y = 156.30537 + x = -0.88060, y = -0.18668 + x = -4.08122, y = 222.03018 + x = 3.01501, y = 122.14545 + x = 0.69344, y = 1.73899 + x = -3.67031, y = 141.82972 + x = 3.79681, y = 280.76163 + x = -1.42198, y = 1.81336 + x = -3.96725, y = 197.04876 + x = -4.22577, y = 257.04967 + x = 4.43635, y = 498.77910 + x = 1.33630, y = 8.69687 + x = 2.66153, y = 78.77868 + x = 4.73381, y = 635.38387 + x = -1.71534, y = 4.83749 + x = -0.78020, y = -0.27588 + x = 3.12045, y = 138.05456 + x = 1.29007, y = 7.87118 + x = -4.65857, y = 386.93155 + x = 4.28227, y = 437.42354 + x = 3.44221, y = 196.47161 + x = -1.94982, y = 8.89278 + x = 1.15650, y = 5.82965 + x = 0.35254, y = 0.53610 + x = -1.67852, y = 4.34771 + x = 0.91322, y = 3.20429 + x = 4.34370, y = 461.15959 + x = -3.54998, y = 123.13413 + x = -1.64361, y = 3.91557 + x = -3.68568, y = 144.36290 + x = 4.29987, y = 444.12538 + x = 2.03693, y = 31.85236 + x = 0.74665, y = 2.03117 + x = -2.66649, y = 36.03916 + x = -0.40242, y = -0.27942 + x = -0.13765, y = -0.12095 + x = 3.49625, y = 207.87754 + x = 1.33720, y = 8.71375 + x = 2.32710, y = 49.67094 + x = -2.70031, y = 38.07016 + x = -0.03923, y = -0.03775 + x = 1.77712, y = 20.52161 + x = -4.62137, y = 374.16017 + x = 3.99244, y = 337.63932 + x = -2.54407, y = 29.35277 + x = -2.55606, y = 29.96338 + x = 4.59484, y = 568.45801 + x = 2.01551, y = 30.76758 + x = 2.66769, y = 79.41432 + x = -3.76496, y = 157.97058 + x = -2.05764, y = 11.39020 + x = 1.55330, y = 13.53502 + x = 3.73415, y = 264.17875 + x = 1.68114, y = 17.24625 + x = -3.12502, y = 71.49273 + x = -0.79247, y = -0.26774 + x = 3.37275, y = 182.51521 + x = 3.58528, y = 227.75614 + x = -1.58257, y = 3.23104 + x = -4.16891, y = 242.81361 + x = -2.16656, y = 14.39101 + x = -2.54039, y = 29.16734 + x = 1.25092, y = 7.22181 + x = 3.73306, y = 263.89754 + x = 0.81345, y = 2.45127 + x = -2.34077, y = 20.33459 + x = 0.95766, y = 3.59419 + x = 3.66910, y = 247.75830 + x = 2.27788, y = 46.20886 + x = -4.15928, y = 240.46243 + x = -0.37504, y = -0.26735 + x = -3.89507, y = 182.35812 + x = 3.62238, y = 236.45316 + x = 4.10639, y = 374.55409 + x = 1.33991, y = 8.76418 + x = -3.11109, y = 70.13637 + x = -0.68397, y = -0.31728 + x = 4.47536, y = 515.29394 + x = -1.52243, y = 2.63888 + x = 4.11395, y = 377.10767 + x = 2.54047, y = 67.04458 + x = -4.24157, y = 261.11371 + x = 3.03259, y = 124.69591 + x = -2.47470, y = 25.99921 + x = 3.48088, y = 204.58313 + x = 1.84026, y = 22.92757 + x = -4.21399, y = 254.04973 + x = 2.01359, y = 30.67146 + x = 1.52006, y = 12.68156 + x = -3.06165, y = 65.47942 + x = 3.90469, y = 311.14320 + x = 4.82715, y = 683.56354 + x = 4.05933, y = 358.95591 + x = 1.48637, y = 11.86060 + x = 2.67473, y = 80.14692 + x = -1.14416, y = 0.38086 + x = 3.15474, y = 143.55394 + x = -3.72776, y = 151.47047 + x = -2.34747, y = 20.59406 + x = -4.43298, y = 314.27911 + x = 3.12791, y = 139.23780 + x = -4.88051, y = 470.05212 + x = -1.46205, y = 2.11961 + x = 3.55373, y = 220.55546 + x = -1.30543, y = 1.07820 + x = -2.81607, y = 45.67063 + x = 3.52071, y = 213.20263 + x = 1.20885, y = 6.57219 + x = 3.20026, y = 151.11010 + x = 0.03472, y = 0.03597 + x = -1.57848, y = 3.18825 + x = -3.64084, y = 137.06646 + x = -2.93478, y = 54.58363 + x = -3.52092, y = 118.91012 + x = -3.07360, y = 66.58301 + x = -1.99371, y = 9.85608 + x = -1.59972, y = 3.41450 + x = 4.76455, y = 650.95674 + x = -3.94167, y = 191.74488 + x = -3.04239, y = 63.72904 + x = -0.49551, y = -0.31136 + x = -0.31458, y = -0.23696 + x = 1.01657, y = 4.16844 + x = 1.71086, y = 18.21327 + x = -2.28719, y = 18.34499 + x = -0.49453, y = -0.31110 + x = 2.56699, y = 69.49195 + x = -4.93135, y = 490.84238 + x = 0.41182, y = 0.68002 + x = -0.84403, y = -0.22543 + x = -1.63180, y = 3.77618 + x = 3.10718, y = 135.97028 + x = -3.72491, y = 150.98076 + x = 3.44285, y = 196.60282 + x = 0.69243, y = 1.73377 + x = 1.18131, y = 6.17267 + x = 3.69321, y = 253.75055 + x = 1.55351, y = 13.54055 + x = -4.40110, y = 304.90639 + x = 0.47459, y = 0.85744 + x = -1.56003, y = 2.99987 + x = -3.97854, y = 199.42510 + x = 0.95525, y = 3.57212 + x = -0.43755, y = -0.29322 + x = 2.43386, y = 57.86469 + x = -0.78073, y = -0.27554 + x = -1.18941, y = 0.54401 + x = -2.65154, y = 35.16705 + x = -1.22644, y = 0.69543 + x = -1.83074, y = 6.61819 + x = 1.28885, y = 7.85036 + x = 3.08609, y = 132.70777 + x = 0.86042, y = 2.78583 + x = 3.49655, y = 207.94331 + x = 2.19881, y = 41.03957 + x = -4.97927, y = 511.05974 + x = 3.84439, y = 293.87082 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.stt new file mode 100644 index 0000000..a76ea99 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.stt @@ -0,0 +1,52 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0001 0.0000 13.190 3.688 30 6 36 6 0.0000 0.0001 0.0000 13.190 3.688 30 6 36 6 +1 0 0.0000 0.0001 0.0000 12.478 3.919 30 6 11 4 0.0000 0.0001 0.0000 12.834 3.803 30 6 36 6 +2 0 0.0000 0.0001 0.0000 12.503 4.038 48 7 11 6 0.0000 0.0001 0.0000 12.723 3.882 48 7 36 6 +3 0 0.0000 0.0001 0.0000 12.316 4.114 43 7 27 8 0.0000 0.0001 0.0000 12.622 3.940 43 7 36 6 +4 0 0.0000 0.0001 0.0000 12.629 4.291 52 7 7 4 0.0000 0.0001 0.0000 12.623 4.010 52 7 36 6 +5 0 0.0000 0.0001 0.0000 12.753 4.425 52 7 15 4 0.0000 0.0001 0.0000 12.645 4.079 52 7 15 4 +6 0 0.0000 0.0001 0.0000 13.383 4.603 49 7 34 10 0.0000 0.0001 0.0000 12.750 4.154 49 7 15 4 +7 0 0.0000 0.0002 0.0000 14.394 4.812 44 9 9 5 0.0000 0.0002 0.0000 12.956 4.236 44 9 15 4 +8 0 0.0000 0.0003 0.0000 15.586 5.009 32 7 24 7 0.0000 0.0003 0.0000 13.248 4.322 32 7 15 4 +9 0 0.0000 0.0003 0.0000 18.227 5.411 32 7 53 12 0.0000 0.0003 0.0000 13.746 4.431 32 7 15 4 +10 0 0.0001 0.0003 0.0000 23.616 6.256 58 10 66 12 0.0000 0.0003 0.0000 14.643 4.597 58 10 15 4 +11 0 0.0001 0.0003 0.0000 30.448 7.257 63 12 84 12 0.0000 0.0003 0.0000 15.960 4.819 63 12 15 4 +12 0 0.0001 0.0003 0.0000 38.070 8.365 63 12 59 11 0.0000 0.0003 0.0000 17.661 5.091 63 12 15 4 +13 0 0.0001 0.0003 0.0000 44.328 9.252 36 9 62 12 0.0000 0.0003 0.0000 19.566 5.389 36 9 15 4 +14 0 0.0001 0.0003 0.0000 48.578 9.802 43 8 47 11 0.0001 0.0003 0.0000 21.500 5.683 43 8 15 4 +15 0 0.0001 0.0003 0.0000 51.660 10.231 69 11 48 14 0.0001 0.0003 0.0000 23.385 5.967 69 11 15 4 +16 0 0.0001 0.0004 0.0000 54.293 10.528 30 7 54 12 0.0001 0.0004 0.0000 25.203 6.235 30 7 15 4 +17 0 0.0001 0.0004 0.0000 56.568 10.845 30 7 129 17 0.0001 0.0004 0.0000 26.945 6.491 30 7 15 4 +18 0 0.0001 0.0004 0.0000 58.188 11.103 30 7 55 14 0.0001 0.0004 0.0000 28.590 6.734 30 7 15 4 +19 0 0.0001 0.0004 0.0000 60.616 11.456 30 7 95 12 0.0001 0.0004 0.0000 30.191 6.970 30 7 15 4 +20 0 0.0002 0.0004 0.0000 62.770 11.699 30 7 98 16 0.0001 0.0004 0.0000 31.742 7.195 30 7 15 4 +21 0 0.0002 0.0004 0.0000 64.649 11.867 79 14 85 17 0.0001 0.0004 0.0000 33.238 7.408 79 14 15 4 +22 0 0.0002 0.0004 0.0000 66.766 12.050 82 14 126 17 0.0001 0.0004 0.0000 34.696 7.610 82 14 15 4 +23 0 0.0002 0.0004 0.0000 69.181 12.276 126 15 90 17 0.0001 0.0004 0.0000 36.133 7.804 126 15 15 4 +24 0 0.0002 0.0004 0.0000 72.083 12.465 106 15 47 13 0.0001 0.0004 0.0000 37.571 7.991 106 15 15 4 +25 0 0.0002 0.0004 0.0000 74.987 12.641 106 15 174 17 0.0001 0.0004 0.0000 39.010 8.169 106 15 15 4 +26 0 0.0002 0.0004 0.0000 77.557 12.819 126 15 97 13 0.0001 0.0004 0.0000 40.438 8.342 126 15 15 4 +27 0 0.0002 0.0004 0.0000 79.204 12.841 83 14 91 14 0.0001 0.0004 0.0000 41.822 8.502 83 14 15 4 +28 0 0.0002 0.0005 0.0000 81.219 13.049 120 15 19 8 0.0001 0.0005 0.0000 43.181 8.659 120 15 15 4 +29 0 0.0002 0.0005 0.0000 82.787 13.162 133 17 59 16 0.0001 0.0005 0.0000 44.501 8.809 133 17 15 4 +30 0 0.0002 0.0005 0.0000 84.361 13.192 95 15 108 14 0.0001 0.0005 0.0000 45.787 8.951 95 15 15 4 +31 0 0.0002 0.0005 0.0000 85.732 13.314 92 15 100 15 0.0001 0.0005 0.0000 47.035 9.087 92 15 15 4 +32 0 0.0002 0.0005 0.0000 89.064 13.460 70 14 68 13 0.0001 0.0005 0.0000 48.308 9.219 70 14 15 4 +33 0 0.0002 0.0005 0.0000 91.239 13.573 70 14 100 14 0.0001 0.0005 0.0000 49.571 9.348 70 14 15 4 +34 0 0.0002 0.0006 0.0000 93.315 13.728 135 16 233 16 0.0001 0.0006 0.0000 50.821 9.473 135 16 15 4 +35 0 0.0002 0.0006 0.0000 95.078 13.845 133 16 81 13 0.0001 0.0006 0.0000 52.050 9.594 133 16 15 4 +36 0 0.0002 0.0006 0.0000 96.543 13.909 133 16 140 15 0.0001 0.0006 0.0000 53.253 9.711 133 16 15 4 +37 0 0.0003 0.0006 0.0000 100.359 14.138 139 16 116 17 0.0001 0.0006 0.0000 54.492 9.827 139 16 15 4 +38 0 0.0003 0.0006 0.0000 102.999 14.304 139 16 81 13 0.0001 0.0006 0.0000 55.736 9.942 139 16 15 4 +39 0 0.0003 0.0006 0.0000 104.010 14.415 119 16 141 16 0.0001 0.0006 0.0000 56.943 10.054 119 16 15 4 +40 0 0.0003 0.0006 0.0000 105.812 14.483 147 14 69 15 0.0001 0.0006 0.0000 58.135 10.162 147 14 15 4 +41 0 0.0003 0.0006 0.0000 107.352 14.597 136 14 195 16 0.0001 0.0006 0.0000 59.307 10.267 136 14 15 4 +42 0 0.0003 0.0006 0.0000 109.203 14.702 136 14 106 15 0.0002 0.0006 0.0000 60.467 10.371 136 14 15 4 +43 0 0.0003 0.0006 0.0000 110.988 14.800 137 14 144 15 0.0002 0.0006 0.0000 61.615 10.471 137 14 15 4 +44 0 0.0003 0.0006 0.0000 112.525 14.856 155 16 87 14 0.0002 0.0006 0.0000 62.747 10.569 155 16 15 4 +45 0 0.0003 0.0006 0.0000 113.795 14.875 141 14 159 15 0.0002 0.0006 0.0000 63.856 10.662 141 14 15 4 +46 0 0.0003 0.0006 0.0000 116.163 14.963 120 14 152 16 0.0002 0.0006 0.0000 64.969 10.754 120 14 15 4 +47 0 0.0003 0.0006 0.0000 118.856 15.028 120 14 122 15 0.0002 0.0006 0.0000 66.092 10.843 120 14 15 4 +48 0 0.0003 0.0007 0.0000 119.481 15.024 124 14 121 17 0.0002 0.0007 0.0000 67.182 10.928 124 14 15 4 +49 0 0.0003 0.0007 0.0000 120.804 15.023 122 14 121 13 0.0002 0.0007 0.0000 68.254 11.010 122 14 15 4 +50 0 0.0004 0.0007 0.0000 122.482 15.117 117 14 138 16 0.0002 0.0007 0.0000 69.317 11.091 117 14 15 4 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.sys new file mode 100644 index 0000000..37ce1fa --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_8/regress.sys @@ -0,0 +1,202 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 303. +creating initial population(s): + 5631 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 346892553 + freed: 345889953 + not freed: 1002600 + max allocated: 13654128 + malloc'ed blocks: 746216 + realloc'ed blocks: 11 + free'ed blocks: 746066 + +------- time ------- + overall: 5s wall + evaluation: 3s wall + breeding: 2s wall + +------- generation spaces ------- + space 0 size: 400 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 33200 + freed: 33200 + allocated: 14000 + blocks: 27 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.bst b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.bst new file mode 100644 index 0000000..28cdce6 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.bst @@ -0,0 +1,23 @@ +=== BEST-OF-RUN === + generation: 17 + nodes: 27 + depth: 7 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (+ (* x x) x) + (+ (cos (* (+ (* (* -0.17899 x) + (- x x)) + (cos x)) + (* (* -0.00069 x) -0.10147))) + (* x x))) +TREE-equ: +y = (((x * x) + x) * (cos(((((-0.17899 * x) * (x - x)) + cos(x)) * ((-0.00069 * x) * -0.10147))) + (x * x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.fn b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.fn new file mode 100644 index 0000000..e5844ed --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.fn @@ -0,0 +1,2 @@ + +y = (((x * x) + x) * (cos(((((-0.17899 * x) * (x - x)) + cos(x)) * ((-0.00069 * x) * -0.10147))) + (x * x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.gen b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.his b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.his new file mode 100644 index 0000000..33e63e3 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.his @@ -0,0 +1,400 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 12 + depth: 6 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 4107.2013 + standardized fitness: 4107.2013 + adjusted fitness: 0.0002 +TREE: + (* (* (+ -0.70946 + (* x + (- x + (cos x)))) x) x) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 18 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2501.5435 + standardized fitness: 2501.5435 + adjusted fitness: 0.0004 +TREE: + (* (* (+ -0.70946 + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) -0.06565) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 18 + depth: 9 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 2501.5435 + standardized fitness: 2501.5435 + adjusted fitness: 0.0004 +TREE: + (* (* (+ -0.70946 + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) -0.06565) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 29 + depth: 12 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 2300.6461 + standardized fitness: 2300.6461 + adjusted fitness: 0.0004 +TREE: + (* (* (+ -0.70946 + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (+ (- 0.52905 -0.92723) + (- (exp -0.76348) + (* 0.42215 x)))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 29 + depth: 12 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 2300.6461 + standardized fitness: 2300.6461 + adjusted fitness: 0.0004 +TREE: + (* (* (+ -0.70946 + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (+ (- 0.52905 -0.92723) + (- (exp -0.76348) + (* 0.42215 x)))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 34 + depth: 15 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 1535.6154 + standardized fitness: 1535.6154 + adjusted fitness: 0.0007 +TREE: + (* (* (+ -0.70946 + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (* (/ (log (+ 0.87712 + (exp (sin x)))) + (exp (sin (* x 0.75765)))) + (sin x))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 13 + depth: 3 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 863.4859 + standardized fitness: 863.4859 + adjusted fitness: 0.0012 +TREE: + (* (+ (* x x) x) + (+ (- -0.20976 -0.63300) + (* x x))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 46 + depth: 15 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 712.5638 + standardized fitness: 712.5638 + adjusted fitness: 0.0014 +TREE: + (* (* (+ (cos (exp (exp (sin (- (- (sin x) + (- -0.80538 x)) + (log 0.56794)))))) + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (* (/ (log (+ 0.87712 + (exp (sin x)))) + (exp (sin (* x 0.75765)))) + (sin x))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 18 + depth: 8 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 366.6820 + standardized fitness: 366.6820 + adjusted fitness: 0.0027 +TREE: + (* (* (+ (cos 0.11014) + (* x + (- x + (log (/ (log x) + (+ -0.02221 x)))))) x) x) +=== BEST-OF-RUN === + current generation: 9 + generation: 9 + nodes: 28 + depth: 14 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 305.3262 + standardized fitness: 305.3262 + adjusted fitness: 0.0033 +TREE: + (* (* (+ (cos 0.11014) + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (log (log (+ (- x -0.93678) x))))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 10 + generation: 9 + nodes: 28 + depth: 14 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 305.3262 + standardized fitness: 305.3262 + adjusted fitness: 0.0033 +TREE: + (* (* (+ (cos 0.11014) + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (log (log (+ (- x -0.93678) x))))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 11 + generation: 9 + nodes: 28 + depth: 14 + hits: 2 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 2 + raw fitness: 305.3262 + standardized fitness: 305.3262 + adjusted fitness: 0.0033 +TREE: + (* (* (+ (cos 0.11014) + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (log (log (+ (- x -0.93678) x))))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 12 + generation: 12 + nodes: 27 + depth: 14 + hits: 1 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 1 + raw fitness: 239.3989 + standardized fitness: 239.3989 + adjusted fitness: 0.0042 +TREE: + (* (* (+ (cos 0.11014) + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (log (log (- (log 0.38955) 0.58648))))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 49 + depth: 17 + hits: 11 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 11 + raw fitness: 149.0866 + standardized fitness: 149.0866 + adjusted fitness: 0.0067 +TREE: + (* (+ (* x x) x) + (+ (- -0.20976 + (- x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (exp (- 0.69982 + (cos (* (+ (* (* -0.17899 x) + (- x x)) + (cos x)) + (* (* -0.00069 x) + (* 0.09328 + (sin x))))))))))) 0.17167)))) + (* x x))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 26 + depth: 13 + hits: 3 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 3 + raw fitness: 131.1934 + standardized fitness: 131.1934 + adjusted fitness: 0.0076 +TREE: + (* (* (+ (cos 0.11014) + (* x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (log (+ 0.87712 + (log x))))))) 0.17167)))) x) x) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 29 + depth: 11 + hits: 25 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 25 + raw fitness: 75.2825 + standardized fitness: 75.2825 + adjusted fitness: 0.0131 +TREE: + (* (+ (* x x) x) + (+ (- -0.20976 + (- x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (+ -0.17429 + (sin -0.26324))))) 0.17167)))) + (* x x))) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 36 + depth: 17 + hits: 97 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 97 + raw fitness: 4.1041 + standardized fitness: 4.1041 + adjusted fitness: 0.1959 +TREE: + (* (+ (* x x) x) + (+ (- -0.20976 + (- x + (- x + (+ (- (- (log 0.38955) 0.58648) + (log (cos (sin (sin (log (log (- (log (- (log 0.38955) 0.58648)) 0.58648)))))))) 0.17167)))) + (* x x))) +=== BEST-OF-RUN === + current generation: 17 + generation: 17 + nodes: 27 + depth: 7 + hits: 200 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 200 + raw fitness: 0.0000 + standardized fitness: 0.0000 + adjusted fitness: 1.0000 +TREE: + (* (+ (* x x) x) + (+ (cos (* (+ (* (* -0.17899 x) + (- x x)) + (cos x)) + (* (* -0.00069 x) -0.10147))) + (* x x))) diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.prg b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.prg new file mode 100644 index 0000000..af947ab --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.prg @@ -0,0 +1,202 @@ +not starting from checkpoint file. +200 fitness cases: + x = 2.36574, y = 52.52598 + x = -1.25731, y = 0.83496 + x = -2.47276, y = 25.90970 + x = -0.41956, y = -0.28640 + x = -4.09990, y = 226.34255 + x = -4.51805, y = 340.34988 + x = 0.38768, y = 0.61883 + x = 0.22154, y = 0.28391 + x = -4.05220, y = 215.45630 + x = -3.71838, y = 149.86515 + x = -0.47422, y = -0.30541 + x = 3.05367, y = 127.80781 + x = -0.77575, y = -0.27865 + x = -1.66901, y = 4.22699 + x = 4.44924, y = 504.19425 + x = -4.64319, y = 381.61218 + x = 2.47606, y = 61.37452 + x = -1.87562, y = 7.41993 + x = -4.41180, y = 308.02690 + x = 0.96576, y = 3.66915 + x = 1.74070, y = 19.22614 + x = -0.25796, y = -0.20416 + x = -4.66771, y = 390.11928 + x = 0.26036, y = 0.35039 + x = -2.63741, y = 34.35803 + x = -4.70600, y = 403.68394 + x = -2.43321, y = 24.13377 + x = 4.61749, y = 578.98523 + x = -2.23947, y = 16.69683 + x = 1.79323, y = 21.11594 + x = 3.91105, y = 313.00858 + x = 4.10375, y = 373.66580 + x = 0.10331, y = 0.11520 + x = 1.85438, y = 23.49456 + x = 4.90526, y = 725.95177 + x = 0.34039, y = 0.50913 + x = 2.54861, y = 67.78896 + x = -2.24913, y = 17.02140 + x = 4.39592, y = 482.08821 + x = 4.76389, y = 650.61988 + x = 0.14788, y = 0.17346 + x = 2.34279, y = 50.81583 + x = -0.95579, y = -0.08085 + x = 1.47152, y = 11.51209 + x = 0.00469, y = 0.00472 + x = -1.36449, y = 1.42330 + x = -0.17030, y = -0.14540 + x = 4.59925, y = 570.49256 + x = 3.91116, y = 313.04269 + x = -0.28941, y = -0.22288 + x = -4.76628, y = 425.75344 + x = 4.31568, y = 450.21368 + x = 4.39110, y = 480.12601 + x = -0.69584, y = -0.31413 + x = -2.56558, y = 30.45493 + x = 3.26199, y = 161.83359 + x = 3.63938, y = 240.52021 + x = 0.67286, y = 1.63521 + x = -0.32481, y = -0.24245 + x = 0.55970, y = 1.14644 + x = -2.06666, y = 11.61975 + x = -2.36319, y = 21.21227 + x = 0.82562, y = 2.53473 + x = -3.81609, y = 167.24158 + x = 1.13374, y = 5.52852 + x = 2.18299, y = 40.06089 + x = -0.99054, y = -0.01857 + x = 2.75273, y = 88.60797 + x = 3.32629, y = 173.61007 + x = 0.81373, y = 2.45317 + x = 0.52712, y = 1.02862 + x = 2.87681, y = 103.45407 + x = -0.78678, y = -0.27160 + x = 0.87762, y = 2.91699 + x = 0.73204, y = 1.94737 + x = 2.42502, y = 57.14950 + x = 0.35094, y = 0.53249 + x = 1.02812, y = 4.28926 + x = -2.17406, y = 14.61676 + x = -0.89940, y = -0.16367 + x = -3.34538, y = 95.65708 + x = 1.89393, y = 25.14086 + x = -0.05769, y = -0.05455 + x = 2.20083, y = 41.16526 + x = -1.14011, y = 0.36737 + x = 1.27424, y = 7.60319 + x = -1.72188, y = 4.92824 + x = -1.08060, y = 0.18881 + x = -4.27936, y = 271.02909 + x = -2.27774, y = 18.00945 + x = -3.66907, y = 141.62716 + x = 4.79588, y = 667.12677 + x = -0.57542, y = -0.32521 + x = -1.41781, y = 1.78319 + x = -0.76323, y = -0.28598 + x = 2.27107, y = 45.74480 + x = -1.87043, y = 7.32385 + x = 3.16659, y = 145.49329 + x = -4.26052, y = 266.05064 + x = 2.57967, y = 70.68676 + x = 3.28457, y = 165.89835 + x = 3.80157, y = 282.05223 + x = 1.77330, y = 20.38277 + x = -0.18943, y = -0.15906 + x = -1.94403, y = 8.77110 + x = -1.66021, y = 4.11722 + x = -0.62663, y = -0.32583 + x = -2.80973, y = 45.22757 + x = -4.55573, y = 352.40314 + x = 1.16018, y = 5.87961 + x = -0.01614, y = -0.01588 + x = -0.28002, y = -0.21742 + x = -0.04778, y = -0.04560 + x = -3.04707, y = 64.15154 + x = -0.77123, y = -0.28138 + x = -1.86254, y = 7.17970 + x = 3.21223, y = 153.14647 + x = -2.75656, y = 41.63514 + x = 1.94714, y = 27.49511 + x = 3.86267, y = 299.02772 + x = -0.94658, y = -0.09587 + x = 0.84287, y = 2.65682 + x = 2.01325, y = 30.65471 + x = -4.25338, y = 264.18300 + x = 2.52916, y = 66.02110 + x = 1.72554, y = 18.70638 + x = -3.89649, y = 182.64034 + x = 4.40265, y = 484.83858 + x = -2.17835, y = 14.74714 + x = -2.60775, y = 32.70398 + x = -1.94835, y = 8.86182 + x = -1.83933, y = 6.76674 + x = 0.58385, y = 1.23997 + x = 1.66576, y = 16.76190 + x = 4.11674, y = 378.05063 + x = 1.93464, y = 26.92734 + x = -3.05829, y = 65.17115 + x = -2.01062, y = 10.24641 + x = -2.02795, y = 10.65777 + x = -4.27756, y = 270.55098 + x = 3.06200, y = 129.05328 + x = -3.96531, y = 196.64436 + x = 1.97226, y = 28.66431 + x = -3.14203, y = 73.17444 + x = 3.66885, y = 247.69697 + x = 0.48806, y = 0.89926 + x = -2.21737, y = 15.97128 + x = -1.32204, y = 1.16987 + x = 1.05303, y = 4.55913 + x = 2.51123, y = 64.42313 + x = 1.16756, y = 5.98070 + x = -1.27308, y = 0.91110 + x = 0.34494, y = 0.51913 + x = 3.34723, y = 177.58222 + x = -0.47197, y = -0.30473 + x = 0.12390, y = 0.14140 + x = -1.78228, y = 5.82315 + x = -4.89246, y = 474.87615 + x = 0.69383, y = 1.74099 + x = 1.12132, y = 5.36958 + x = -3.60192, y = 130.96173 + x = -3.61601, y = 133.14741 + x = 4.21822, y = 413.67164 + x = 4.72183, y = 629.39169 + x = 3.09818, y = 134.57103 + x = -1.05082, y = 0.11237 + x = 2.74772, y = 88.04519 + x = -1.90575, y = 7.99525 + x = -1.71592, y = 4.84555 + x = 3.74071, y = 265.87965 + x = -4.64518, y = 382.29656 + x = -0.46573, y = -0.30280 + x = 1.19041, y = 6.30253 + x = 4.43591, y = 498.59555 + x = -2.30489, y = 18.98578 + x = -4.67350, y = 392.14837 + x = -4.50207, y = 335.33391 + x = 3.66602, y = 247.00106 + x = 1.21859, y = 6.71821 + x = -2.59475, y = 31.99758 + x = -1.49217, y = 2.36962 + x = -4.00404, y = 204.86913 + x = -1.29118, y = 1.00274 + x = 1.70033, y = 17.86577 + x = -4.00583, y = 205.25634 + x = -3.33234, y = 94.07839 + x = -1.05755, y = 0.12893 + x = 0.86202, y = 2.79784 + x = 3.56758, y = 223.69453 + x = 0.16756, y = 0.20112 + x = 4.18692, y = 402.42585 + x = 3.84746, y = 294.73229 + x = 4.70530, y = 621.19364 + x = -0.76866, y = -0.28289 + x = -4.63238, y = 377.90824 + x = -1.47227, y = 2.20247 + x = -0.15573, y = -0.13467 + x = 2.53635, y = 66.67026 + x = 4.16286, y = 393.94106 + x = 3.34235, y = 176.65027 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.stt b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.stt new file mode 100644 index 0000000..cc07224 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.stt @@ -0,0 +1,19 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.0000 0.0002 0.0000 13.002 3.684 12 6 8 3 0.0000 0.0002 0.0000 13.002 3.684 12 6 8 3 +1 0 0.0000 0.0004 0.0000 12.407 3.877 18 9 39 8 0.0000 0.0004 0.0000 12.704 3.780 18 9 39 8 +2 0 0.0000 0.0004 0.0000 12.188 4.034 18 9 7 5 0.0000 0.0004 0.0000 12.532 3.865 18 9 39 8 +3 0 0.0000 0.0004 0.0000 12.267 4.185 29 12 13 8 0.0000 0.0004 0.0000 12.466 3.945 29 12 39 8 +4 0 0.0000 0.0004 0.0000 12.561 4.384 29 12 35 7 0.0000 0.0004 0.0000 12.485 4.033 29 12 39 8 +5 0 0.0000 0.0007 0.0000 12.786 4.657 34 15 26 13 0.0000 0.0007 0.0000 12.535 4.137 34 15 39 8 +6 0 0.0001 0.0012 0.0000 14.257 5.452 13 3 22 9 0.0000 0.0012 0.0000 12.781 4.325 13 3 39 8 +7 0 0.0001 0.0014 0.0000 17.072 6.877 46 15 8 4 0.0000 0.0014 0.0000 13.317 4.644 46 15 39 8 +8 0 0.0001 0.0027 0.0000 20.979 8.644 18 8 12 7 0.0001 0.0027 0.0000 14.169 5.088 18 8 39 8 +9 0 0.0002 0.0033 0.0000 25.001 10.205 28 14 53 15 0.0001 0.0033 0.0000 15.252 5.600 28 14 39 8 +10 0 0.0002 0.0033 0.0000 27.865 11.027 28 14 61 15 0.0001 0.0033 0.0000 16.398 6.093 28 14 39 8 +11 0 0.0003 0.0033 0.0000 29.799 11.455 28 14 36 11 0.0001 0.0033 0.0000 17.515 6.540 28 14 39 8 +12 0 0.0004 0.0042 0.0000 31.284 11.685 27 14 62 17 0.0001 0.0042 0.0000 18.574 6.936 27 14 39 8 +13 0 0.0004 0.0067 0.0000 32.661 11.941 49 17 58 16 0.0001 0.0067 0.0000 19.580 7.293 49 17 39 8 +14 0 0.0006 0.0076 0.0000 33.971 12.124 26 13 8 5 0.0002 0.0076 0.0000 20.540 7.615 26 13 39 8 +15 0 0.0008 0.0131 0.0000 34.668 12.207 29 11 46 16 0.0002 0.0131 0.0000 21.423 7.902 29 11 39 8 +16 0 0.0012 0.1959 0.0000 36.356 12.485 36 17 53 12 0.0003 0.1959 0.0000 22.301 8.172 36 17 39 8 +17 0 0.0044 1.0000 0.0000 37.081 12.690 27 7 32 15 0.0005 1.0000 0.0000 23.122 8.423 27 7 39 8 diff --git a/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.sys b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.sys new file mode 100644 index 0000000..00eed10 --- /dev/null +++ b/PartA/crossover_90_mutation_10_elitism_2/run_9/regress.sys @@ -0,0 +1,104 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - sin cos exp log x R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1225. +creating initial population(s): + 5611 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) +user termination criterion met. + +SYSTEM STATISTICS + +------- memory ------- + allocated: 46866977 + freed: 46526093 + not freed: 340884 + max allocated: 5070533 + malloc'ed blocks: 257935 + realloc'ed blocks: 9 + free'ed blocks: 257884 + +------- time ------- + overall: 1s wall + evaluation: 1s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 19899 + freed: 19899 + allocated: 13500 + blocks: 26 diff --git a/PartB/90Cross10Mut2El/aggregated.tsv b/PartB/90Cross10Mut2El/aggregated.tsv new file mode 100644 index 0000000..3330d4b --- /dev/null +++ b/PartB/90Cross10Mut2El/aggregated.tsv @@ -0,0 +1,55 @@ +Runs Generation Count Mean: 51 +Runs Generation Count Mode: 51 occurred (10) time(s) +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9575 0.99862 0 18.3459 3.4711 37 4 54 5 0.9575 0.99862 0 18.3459 3.4711 37 4 54 5 +1 0 0.98993 0.99862 0 16.9971 3.6345 36 4 38 6 0.97372 0.99862 0 17.6714 3.5528 36 4 54 5 +2 0 0.99006 0.99866 0 16.6695 3.777 29 4 29 5 0.97918 0.99866 0 17.3373 3.6275 29 4 54 5 +3 0 0.99242 0.9987 0 16.2876 3.8749 24 6 25 5 0.98248 0.9987 0 17.075 3.6895 24 6 54 5 +4 0 0.99214 0.99874 0 16.066 3.96 20 5 40 7 0.98442 0.99874 0 16.8732 3.7437 20 5 54 5 +5 0 0.99265 0.99876 0 15.8332 4.0232 18 5 46 8 0.98577 0.99876 0 16.6996 3.7902 18 5 54 5 +6 0 0.99325 0.99878 0 15.6102 4.085 22 6 48 8 0.98685 0.99878 0 16.5441 3.8322 22 6 54 5 +7 0 0.99364 0.99879 0 15.3205 4.1146 22 5 41 8 0.9877 0.99879 0 16.3913 3.8676 22 5 54 5 +8 0 0.9939 0.99882 0 15.1156 4.1637 20 5 36 7 0.9884 0.99882 0 16.2496 3.9004 20 5 54 5 +9 0 0.99398 0.99882 0 14.7068 4.1495 20 5 38 7 0.98892 0.99882 0 16.0953 3.9255 20 5 54 5 +10 0 0.99455 0.99882 0 14.6281 4.1823 23 5 37 8 0.98945 0.99882 0 15.9619 3.9487 23 5 54 5 +11 0 0.99421 0.99883 0 14.4593 4.2159 22 6 39 8 0.98985 0.99883 0 15.8367 3.9709 22 6 54 5 +12 0 0.99442 0.99883 0 14.2111 4.2177 22 6 30 7 0.9902 0.99883 0 15.7116 3.99 22 6 54 5 +13 0 0.99495 0.99884 0 13.9368 4.2122 22 5 46 10 0.99053 0.99884 0 15.5847 4.006 22 5 54 5 +14 0 0.99472 0.99884 0 13.691 4.1929 23 6 39 8 0.99083 0.99884 0 15.4586 4.0181 23 6 54 5 +15 0 0.99483 0.99884 0 13.4827 4.1906 23 6 24 7 0.99108 0.99884 0 15.335 4.029 23 6 54 5 +16 0 0.99492 0.99884 0 13.3521 4.1827 23 6 28 8 0.99131 0.99884 0 15.2186 4.0382 23 6 54 5 +17 0 0.995 0.99884 0 13.089 4.1552 23 6 40 9 0.99149 0.99884 0 15.1002 4.0445 23 6 54 5 +18 0 0.99578 0.99884 0 12.9875 4.1541 23 6 47 10 0.99173 0.99884 0 14.9891 4.0503 23 6 54 5 +19 0 0.99587 0.99884 0 12.7768 4.1332 22 6 47 10 0.99193 0.99884 0 14.8785 4.0546 22 6 54 5 +20 0 0.9954 0.99884 0 12.5131 4.0964 22 6 47 10 0.9921 0.99884 0 14.7658 4.0566 22 6 54 5 +21 0 0.99605 0.99884 0 12.3742 4.0893 22 6 25 7 0.99228 0.99884 0 14.657 4.058 22 6 54 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zH@kT%y>1o#D@^%#O;5PVSH$CKvW-IKib$V;(RZRiNhe5kc3=99|)DuS@dOx1nY+1bu?1Urx<|s!e*+Ade;H2Hub2w~LeD!NLu1E2PNV*$v8; z#$2$Wc@j`hgSV*SkZr(6Jl86w3BA3wIB$)5sz8O$e{u4W>Y}lWZ z_^0QusLeeP>b}KL>%yss;(uXL|MdD5sJ2&7zHeyyU!k0T`u)n$*u$;uTO#$)ZXdq( zr{k~X@4t7jhZ-h-g>L-x{9Aea{w2++_w8@R@;_C64%4sEV=pf6+cE0H{*O`G5JOKz T&e71YQa@LyLFd8wy`%pFi3l0O literal 0 HcmV?d00001 diff --git a/PartB/90Cross10Mut2El/aggregated_fn.tsv b/PartB/90Cross10Mut2El/aggregated_fn.tsv new file mode 100644 index 0000000..d61a769 --- /dev/null +++ b/PartB/90Cross10Mut2El/aggregated_fn.tsv @@ -0,0 +1,30 @@ +Run(RV)/(PV) CC CO OO OC +0 1073 71 1510 156 +1 970 178 1578 84 +2 1048 82 1529 151 +3 1034 93 1531 152 +4 1005 148 1595 62 +5 1047 82 1520 161 +6 1030 79 1557 144 +7 970 193 1600 47 +8 1009 104 1537 160 +9 1040 108 1410 252 + +Best Result: + CC CO OO OC + 1073 71 1510 156 +Fitness: 0.998937 +Total results: + CC CO OO OC + 10226 1138 15367 1369 + +Averaged results: + CC CO OO OC + 1022 113 1536 136 + + +Average Hits Per Run: 2559 +Average Tests Per Run: 2810 +Average % Correct Per Run: 0.910676 +Total Hits(All runs combined): 25593 +Total Tests(All runs combined): 28100 diff --git a/PartB/90Cross10Mut2El/aggregated_runs.tsv b/PartB/90Cross10Mut2El/aggregated_runs.tsv new file mode 100644 index 0000000..788b12b --- /dev/null +++ b/PartB/90Cross10Mut2El/aggregated_runs.tsv @@ -0,0 +1,574 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +=AVERAGE(a55, a56, a57, a58, a59, a60, a61, a62, a63, a64) =AVERAGE(b55, b56, b57, b58, b59, b60, b61, b62, b63, b64) =AVERAGE(c55, c56, c57, c58, c59, c60, c61, c62, c63, c64) =AVERAGE(d55, d56, d57, d58, d59, d60, d61, d62, d63, d64) =AVERAGE(e55, e56, e57, e58, e59, e60, e61, e62, e63, e64) =AVERAGE(f55, f56, f57, f58, f59, f60, f61, f62, f63, f64) =AVERAGE(g55, g56, g57, g58, g59, g60, g61, g62, g63, g64) =AVERAGE(h55, h56, h57, h58, h59, h60, h61, h62, h63, h64) =AVERAGE(i55, i56, i57, i58, i59, i60, i61, i62, i63, i64) =AVERAGE(j55, j56, j57, j58, j59, j60, j61, j62, j63, j64) =AVERAGE(k55, k56, k57, k58, k59, k60, k61, k62, k63, k64) =AVERAGE(l55, l56, l57, l58, l59, l60, l61, l62, l63, l64) =AVERAGE(m55, m56, m57, m58, m59, m60, m61, m62, m63, m64) =AVERAGE(n55, n56, n57, n58, n59, n60, n61, n62, n63, n64) =AVERAGE(o55, o56, o57, o58, o59, o60, o61, o62, o63, o64) =AVERAGE(p55, p56, p57, p58, p59, p60, p61, p62, p63, p64) =AVERAGE(q55, q56, q57, q58, q59, q60, q61, q62, q63, q64) =AVERAGE(r55, r56, r57, r58, r59, r60, r61, r62, r63, r64) =AVERAGE(s55, s56, s57, s58, s59, s60, s61, s62, s63, s64) =AVERAGE(t55, t56, t57, t58, t59, t60, t61, t62, t63, t64) =STDEV.P(a55, a56, a57, a58, a59, a60, a61, a62, a63, a64) =STDEV.P(b55, b56, b57, b58, b59, b60, b61, b62, b63, b64) =STDEV.P(c55, c56, c57, c58, c59, c60, c61, c62, c63, c64) =STDEV.P(d55, d56, d57, d58, d59, d60, d61, d62, d63, d64) =STDEV.P(e55, e56, e57, e58, e59, e60, e61, e62, e63, e64) =STDEV.P(f55, f56, f57, f58, f59, f60, f61, f62, f63, f64) =STDEV.P(g55, g56, g57, g58, g59, g60, g61, g62, g63, g64) =STDEV.P(h55, h56, h57, h58, h59, h60, h61, h62, h63, h64) =STDEV.P(i55, i56, i57, i58, i59, i60, i61, i62, i63, i64) =STDEV.P(j55, j56, j57, j58, j59, j60, j61, j62, j63, j64) =STDEV.P(k55, k56, k57, k58, k59, k60, k61, k62, k63, k64) =STDEV.P(l55, l56, l57, l58, l59, l60, l61, l62, l63, l64) =STDEV.P(m55, m56, m57, m58, m59, m60, m61, m62, m63, m64) =STDEV.P(n55, n56, n57, n58, n59, n60, n61, n62, n63, n64) =STDEV.P(o55, o56, o57, o58, o59, o60, o61, o62, o63, o64) =STDEV.P(p55, p56, p57, p58, p59, p60, p61, p62, p63, p64) =STDEV.P(q55, q56, q57, q58, q59, q60, q61, q62, q63, q64) =STDEV.P(r55, r56, r57, r58, r59, r60, r61, r62, r63, r64) =STDEV.P(s55, s56, s57, s58, s59, s60, s61, s62, s63, s64) =STDEV.P(t55, t56, t57, t58, t59, t60, t61, t62, t63, t64) =STDEV.P(a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22, a23, a24, a25, a26, a27, a28, a29, a30, a31, a32, a33, a34, a35, a36, a37, a38, a39, a40, a41, a42, a43, a44, a45, a46, a47, a48, a49, a50, a51, a52, a53) =STDEV.P(b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16, b17, b18, b19, b20, b21, b22, b23, b24, b25, b26, b27, b28, b29, b30, b31, b32, b33, b34, b35, b36, b37, b38, b39, b40, b41, b42, b43, b44, b45, b46, b47, b48, b49, b50, b51, b52, b53) =STDEV.P(c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29, c30, c31, c32, c33, c34, c35, c36, c37, c38, c39, c40, c41, c42, c43, c44, c45, c46, c47, c48, c49, c50, c51, c52, c53) =STDEV.P(d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, d16, d17, d18, d19, d20, d21, d22, d23, d24, d25, d26, d27, d28, d29, d30, d31, d32, d33, d34, d35, d36, d37, d38, d39, d40, d41, d42, d43, d44, d45, d46, d47, d48, d49, d50, d51, d52, d53) =STDEV.P(e2, e3, e4, e5, e6, e7, e8, e9, e10, e11, e12, e13, e14, e15, e16, e17, e18, e19, e20, e21, e22, e23, e24, e25, e26, e27, e28, e29, e30, e31, e32, e33, e34, e35, e36, e37, e38, e39, e40, e41, e42, e43, e44, e45, e46, e47, e48, e49, e50, e51, e52, e53) =STDEV.P(f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f23, f24, f25, f26, f27, f28, f29, f30, f31, f32, f33, f34, f35, f36, f37, f38, f39, f40, f41, f42, f43, f44, f45, f46, f47, f48, f49, f50, f51, f52, f53) =STDEV.P(g2, g3, g4, g5, g6, g7, g8, g9, g10, g11, g12, g13, g14, g15, g16, g17, g18, g19, g20, g21, g22, g23, g24, g25, g26, g27, g28, g29, g30, g31, g32, g33, g34, g35, g36, g37, g38, g39, g40, g41, g42, g43, g44, g45, g46, g47, g48, g49, g50, g51, g52, g53) =STDEV.P(h2, h3, h4, h5, h6, h7, h8, h9, h10, h11, h12, h13, h14, h15, h16, h17, h18, h19, h20, h21, h22, h23, h24, h25, h26, h27, h28, h29, h30, h31, h32, h33, h34, h35, h36, h37, h38, h39, h40, h41, h42, h43, h44, h45, h46, h47, h48, h49, h50, h51, h52, h53) =STDEV.P(i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13, i14, i15, i16, i17, i18, i19, i20, i21, i22, i23, i24, i25, i26, i27, i28, i29, i30, i31, i32, i33, i34, i35, i36, i37, i38, i39, i40, i41, i42, i43, i44, i45, i46, i47, i48, i49, i50, i51, i52, i53) =STDEV.P(j2, j3, j4, j5, j6, j7, j8, j9, j10, j11, j12, j13, j14, j15, j16, j17, j18, j19, j20, j21, j22, j23, j24, j25, j26, j27, j28, j29, j30, j31, j32, j33, j34, j35, j36, j37, j38, j39, j40, j41, j42, j43, j44, j45, j46, j47, j48, j49, j50, j51, j52, j53) =STDEV.P(k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12, k13, k14, k15, k16, k17, k18, k19, k20, k21, k22, k23, k24, k25, k26, k27, k28, k29, k30, k31, k32, k33, k34, k35, k36, k37, k38, k39, k40, k41, k42, k43, k44, k45, k46, k47, k48, k49, k50, k51, k52, k53) =STDEV.P(l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12, l13, l14, l15, l16, l17, l18, l19, l20, l21, l22, l23, l24, l25, l26, l27, l28, l29, l30, l31, l32, l33, l34, l35, l36, l37, l38, l39, l40, l41, l42, l43, l44, l45, l46, l47, l48, l49, l50, l51, l52, l53) =STDEV.P(m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, m16, m17, m18, m19, m20, m21, m22, m23, m24, m25, m26, m27, m28, m29, m30, m31, m32, m33, m34, m35, m36, m37, m38, m39, m40, m41, m42, m43, m44, m45, m46, m47, m48, m49, m50, m51, m52, m53) =STDEV.P(n2, n3, n4, n5, n6, n7, n8, n9, n10, n11, n12, n13, n14, n15, n16, n17, n18, n19, n20, n21, n22, n23, n24, n25, n26, n27, n28, n29, n30, n31, n32, n33, n34, n35, n36, n37, n38, n39, n40, n41, n42, n43, n44, n45, n46, n47, n48, n49, n50, n51, n52, n53) =STDEV.P(o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12, o13, o14, o15, o16, o17, o18, o19, o20, o21, o22, o23, o24, o25, o26, o27, o28, o29, o30, o31, o32, o33, o34, o35, o36, o37, o38, o39, o40, o41, o42, o43, o44, o45, o46, o47, o48, o49, o50, o51, o52, o53) =STDEV.P(p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, p50, p51, p52, p53) =STDEV.P(q2, q3, q4, q5, q6, q7, q8, q9, q10, q11, q12, q13, q14, q15, q16, q17, q18, q19, q20, q21, q22, q23, q24, q25, q26, q27, q28, q29, q30, q31, q32, q33, q34, q35, q36, q37, q38, q39, q40, q41, q42, q43, q44, q45, q46, q47, q48, q49, q50, q51, q52, q53) =STDEV.P(r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r34, r35, r36, r37, r38, r39, r40, r41, r42, r43, r44, r45, r46, r47, r48, r49, r50, r51, r52, r53) =STDEV.P(s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15, s16, s17, s18, s19, s20, s21, s22, s23, s24, s25, s26, s27, s28, s29, s30, s31, s32, s33, s34, s35, s36, s37, s38, s39, s40, s41, s42, s43, s44, s45, s46, s47, s48, s49, s50, s51, s52, s53) =STDEV.P(t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t21, t22, t23, t24, t25, t26, t27, t28, t29, t30, t31, t32, t33, t34, t35, t36, t37, t38, t39, t40, t41, t42, t43, t44, t45, t46, t47, t48, t49, t50, t51, t52, t53) +=AVERAGE(a65, a66, a67, a68, a69, a70, a71, a72, a73, a74) =AVERAGE(b65, b66, b67, b68, b69, b70, b71, b72, b73, b74) =AVERAGE(c65, c66, c67, c68, c69, c70, c71, c72, c73, c74) =AVERAGE(d65, d66, d67, d68, d69, d70, d71, d72, d73, d74) =AVERAGE(e65, e66, e67, e68, e69, e70, e71, e72, e73, e74) =AVERAGE(f65, f66, f67, f68, f69, f70, f71, f72, f73, f74) =AVERAGE(g65, g66, g67, g68, g69, g70, g71, g72, g73, g74) =AVERAGE(h65, h66, h67, h68, h69, h70, h71, h72, h73, h74) =AVERAGE(i65, i66, i67, i68, i69, i70, i71, i72, i73, i74) =AVERAGE(j65, j66, j67, j68, j69, j70, j71, j72, j73, j74) =AVERAGE(k65, k66, k67, k68, k69, k70, k71, k72, k73, k74) =AVERAGE(l65, l66, l67, l68, l69, l70, l71, l72, l73, l74) =AVERAGE(m65, m66, m67, m68, m69, m70, m71, m72, m73, m74) =AVERAGE(n65, n66, n67, n68, n69, n70, n71, n72, n73, n74) =AVERAGE(o65, o66, o67, o68, o69, o70, o71, o72, o73, o74) =AVERAGE(p65, p66, p67, p68, p69, p70, p71, p72, p73, p74) =AVERAGE(q65, q66, q67, q68, q69, q70, q71, q72, q73, q74) =AVERAGE(r65, r66, r67, r68, r69, r70, r71, r72, r73, r74) =AVERAGE(s65, s66, s67, s68, s69, s70, s71, s72, s73, s74) =AVERAGE(t65, t66, t67, t68, t69, t70, t71, t72, t73, t74) =STDEV.P(a65, a66, a67, a68, a69, a70, a71, a72, a73, a74) =STDEV.P(b65, b66, b67, b68, b69, b70, b71, b72, b73, b74) =STDEV.P(c65, c66, c67, c68, c69, c70, c71, c72, c73, c74) =STDEV.P(d65, d66, d67, d68, d69, d70, d71, d72, d73, d74) =STDEV.P(e65, e66, e67, e68, e69, e70, e71, e72, e73, e74) =STDEV.P(f65, f66, f67, f68, f69, f70, f71, f72, f73, f74) =STDEV.P(g65, g66, g67, g68, g69, g70, g71, g72, g73, g74) =STDEV.P(h65, h66, h67, h68, h69, h70, h71, h72, h73, h74) =STDEV.P(i65, i66, i67, i68, i69, i70, i71, i72, i73, i74) =STDEV.P(j65, j66, j67, j68, j69, j70, j71, j72, j73, j74) =STDEV.P(k65, k66, k67, k68, k69, k70, k71, k72, k73, k74) =STDEV.P(l65, l66, l67, l68, l69, l70, l71, l72, l73, l74) =STDEV.P(m65, m66, m67, m68, m69, m70, m71, m72, m73, m74) =STDEV.P(n65, n66, n67, n68, n69, n70, n71, n72, n73, n74) =STDEV.P(o65, o66, o67, o68, o69, o70, o71, o72, o73, o74) =STDEV.P(p65, p66, p67, p68, p69, p70, p71, p72, p73, p74) =STDEV.P(q65, q66, q67, q68, q69, q70, q71, q72, q73, q74) =STDEV.P(r65, r66, r67, r68, r69, r70, r71, r72, r73, r74) =STDEV.P(s65, s66, s67, s68, s69, s70, s71, s72, s73, s74) =STDEV.P(t65, t66, t67, t68, t69, t70, t71, t72, t73, t74) +=AVERAGE(a75, a76, a77, a78, a79, a80, a81, a82, a83, a84) =AVERAGE(b75, b76, b77, b78, b79, b80, b81, b82, b83, b84) =AVERAGE(c75, c76, c77, c78, c79, c80, c81, c82, c83, c84) =AVERAGE(d75, d76, d77, d78, d79, d80, d81, d82, d83, d84) =AVERAGE(e75, e76, e77, e78, e79, e80, e81, e82, e83, e84) =AVERAGE(f75, f76, f77, f78, f79, f80, f81, f82, f83, f84) =AVERAGE(g75, g76, g77, g78, g79, g80, g81, g82, g83, g84) =AVERAGE(h75, h76, h77, h78, h79, h80, h81, h82, h83, h84) =AVERAGE(i75, i76, i77, i78, i79, i80, i81, i82, i83, i84) =AVERAGE(j75, j76, j77, j78, j79, j80, j81, j82, j83, j84) =AVERAGE(k75, k76, k77, k78, k79, k80, k81, k82, k83, k84) =AVERAGE(l75, l76, l77, l78, l79, l80, l81, l82, l83, l84) =AVERAGE(m75, m76, m77, m78, m79, m80, m81, m82, m83, m84) =AVERAGE(n75, n76, n77, n78, n79, n80, n81, n82, n83, n84) =AVERAGE(o75, o76, o77, o78, o79, o80, o81, o82, o83, o84) =AVERAGE(p75, p76, p77, p78, p79, p80, p81, p82, p83, p84) =AVERAGE(q75, q76, q77, q78, q79, q80, q81, q82, q83, q84) =AVERAGE(r75, r76, r77, r78, r79, r80, r81, r82, r83, r84) =AVERAGE(s75, s76, s77, s78, s79, s80, s81, s82, s83, s84) =AVERAGE(t75, t76, t77, t78, t79, t80, t81, t82, t83, t84) =STDEV.P(a75, a76, a77, a78, a79, a80, a81, a82, a83, a84) =STDEV.P(b75, b76, b77, b78, b79, b80, b81, b82, b83, b84) =STDEV.P(c75, c76, c77, c78, c79, c80, c81, c82, c83, c84) =STDEV.P(d75, d76, d77, d78, d79, d80, d81, d82, d83, d84) =STDEV.P(e75, e76, e77, e78, e79, e80, e81, e82, e83, e84) =STDEV.P(f75, f76, f77, f78, f79, f80, f81, f82, f83, f84) =STDEV.P(g75, g76, g77, g78, g79, g80, g81, g82, g83, g84) =STDEV.P(h75, h76, h77, h78, h79, h80, h81, h82, h83, h84) =STDEV.P(i75, i76, i77, i78, i79, i80, i81, i82, i83, i84) =STDEV.P(j75, j76, j77, j78, j79, j80, j81, j82, j83, j84) =STDEV.P(k75, k76, k77, k78, k79, k80, k81, k82, k83, k84) =STDEV.P(l75, l76, l77, l78, l79, l80, l81, l82, l83, l84) =STDEV.P(m75, m76, m77, m78, m79, m80, m81, m82, m83, m84) =STDEV.P(n75, n76, n77, n78, n79, n80, n81, n82, n83, n84) =STDEV.P(o75, o76, o77, o78, o79, o80, o81, o82, o83, o84) =STDEV.P(p75, p76, p77, p78, p79, p80, p81, p82, p83, p84) =STDEV.P(q75, q76, q77, q78, q79, q80, q81, q82, q83, q84) =STDEV.P(r75, r76, r77, r78, r79, r80, r81, r82, r83, r84) =STDEV.P(s75, s76, s77, s78, s79, s80, s81, s82, s83, s84) =STDEV.P(t75, t76, t77, t78, t79, t80, t81, t82, t83, t84) +=AVERAGE(a85, a86, a87, a88, a89, a90, a91, a92, a93, a94) =AVERAGE(b85, b86, b87, b88, b89, b90, b91, b92, b93, b94) =AVERAGE(c85, c86, c87, c88, c89, c90, c91, c92, c93, c94) =AVERAGE(d85, d86, d87, d88, d89, d90, d91, d92, d93, d94) =AVERAGE(e85, e86, e87, e88, e89, e90, e91, e92, e93, e94) =AVERAGE(f85, f86, f87, f88, f89, f90, f91, f92, f93, f94) =AVERAGE(g85, g86, g87, g88, g89, g90, g91, g92, g93, g94) =AVERAGE(h85, h86, h87, h88, h89, h90, h91, h92, h93, h94) =AVERAGE(i85, i86, i87, i88, i89, i90, i91, i92, i93, i94) =AVERAGE(j85, j86, j87, j88, j89, j90, j91, j92, j93, j94) =AVERAGE(k85, k86, k87, k88, k89, k90, k91, k92, k93, k94) =AVERAGE(l85, l86, l87, l88, l89, l90, l91, l92, l93, l94) =AVERAGE(m85, m86, m87, m88, m89, m90, m91, m92, m93, m94) =AVERAGE(n85, n86, n87, n88, n89, n90, n91, n92, n93, n94) =AVERAGE(o85, o86, o87, o88, o89, o90, o91, o92, o93, o94) =AVERAGE(p85, p86, p87, p88, p89, p90, p91, p92, p93, p94) =AVERAGE(q85, q86, q87, q88, q89, q90, q91, q92, q93, q94) =AVERAGE(r85, r86, r87, r88, r89, r90, r91, r92, r93, r94) =AVERAGE(s85, s86, s87, s88, s89, s90, s91, s92, s93, s94) =AVERAGE(t85, t86, t87, t88, t89, t90, t91, t92, t93, t94) =STDEV.P(a85, a86, a87, a88, a89, a90, a91, a92, a93, a94) =STDEV.P(b85, b86, b87, b88, b89, b90, b91, b92, b93, b94) =STDEV.P(c85, c86, c87, c88, c89, c90, c91, c92, c93, c94) =STDEV.P(d85, d86, d87, d88, d89, d90, d91, d92, d93, d94) =STDEV.P(e85, e86, e87, e88, e89, e90, e91, e92, e93, e94) =STDEV.P(f85, f86, f87, f88, f89, f90, f91, f92, f93, f94) =STDEV.P(g85, g86, g87, g88, g89, g90, g91, g92, g93, g94) =STDEV.P(h85, h86, h87, h88, h89, h90, h91, h92, h93, h94) =STDEV.P(i85, i86, i87, i88, i89, i90, i91, i92, i93, i94) =STDEV.P(j85, j86, j87, j88, j89, j90, j91, j92, j93, j94) =STDEV.P(k85, k86, k87, k88, k89, k90, k91, k92, k93, k94) =STDEV.P(l85, l86, l87, l88, l89, l90, l91, l92, l93, l94) =STDEV.P(m85, m86, m87, m88, m89, m90, m91, m92, m93, m94) =STDEV.P(n85, n86, n87, n88, n89, n90, n91, n92, n93, n94) =STDEV.P(o85, o86, o87, o88, o89, o90, o91, o92, o93, o94) =STDEV.P(p85, p86, p87, p88, p89, p90, p91, p92, p93, p94) =STDEV.P(q85, q86, q87, q88, q89, q90, q91, q92, q93, q94) =STDEV.P(r85, r86, r87, r88, r89, r90, r91, r92, r93, r94) =STDEV.P(s85, s86, s87, s88, s89, s90, s91, s92, s93, s94) =STDEV.P(t85, t86, t87, t88, t89, t90, t91, t92, t93, t94) +=AVERAGE(a95, a96, a97, a98, a99, a100, a101, a102, a103, a104) =AVERAGE(b95, b96, b97, b98, b99, b100, b101, b102, b103, b104) =AVERAGE(c95, c96, c97, c98, c99, c100, c101, c102, c103, c104) =AVERAGE(d95, d96, d97, d98, d99, d100, d101, d102, d103, d104) =AVERAGE(e95, e96, e97, e98, e99, e100, e101, e102, e103, e104) =AVERAGE(f95, f96, f97, f98, f99, f100, f101, f102, f103, f104) =AVERAGE(g95, g96, g97, g98, g99, g100, g101, g102, g103, g104) =AVERAGE(h95, h96, h97, h98, h99, h100, h101, h102, h103, h104) =AVERAGE(i95, i96, i97, i98, i99, i100, i101, i102, i103, i104) =AVERAGE(j95, j96, j97, j98, j99, j100, j101, j102, j103, j104) =AVERAGE(k95, k96, k97, k98, k99, k100, k101, k102, k103, k104) =AVERAGE(l95, l96, l97, l98, l99, l100, l101, l102, l103, l104) =AVERAGE(m95, m96, m97, m98, m99, m100, m101, m102, m103, m104) =AVERAGE(n95, n96, n97, n98, n99, n100, n101, n102, n103, n104) =AVERAGE(o95, o96, o97, o98, o99, o100, o101, o102, o103, o104) =AVERAGE(p95, p96, p97, p98, p99, p100, p101, p102, p103, p104) =AVERAGE(q95, q96, q97, q98, q99, q100, q101, q102, q103, q104) =AVERAGE(r95, r96, r97, r98, r99, r100, r101, r102, r103, r104) =AVERAGE(s95, s96, s97, s98, s99, s100, s101, s102, s103, s104) =AVERAGE(t95, t96, t97, t98, t99, t100, t101, t102, t103, t104) =STDEV.P(a95, a96, a97, a98, a99, a100, a101, a102, a103, a104) =STDEV.P(b95, b96, b97, b98, b99, b100, b101, b102, b103, b104) =STDEV.P(c95, c96, c97, c98, c99, c100, c101, c102, c103, c104) =STDEV.P(d95, d96, d97, d98, d99, d100, d101, d102, d103, d104) =STDEV.P(e95, e96, e97, e98, e99, e100, e101, e102, e103, e104) =STDEV.P(f95, f96, f97, f98, f99, f100, f101, f102, f103, f104) =STDEV.P(g95, g96, g97, g98, g99, g100, g101, g102, g103, g104) =STDEV.P(h95, h96, h97, h98, h99, h100, h101, h102, h103, h104) =STDEV.P(i95, i96, i97, i98, i99, i100, i101, i102, i103, i104) =STDEV.P(j95, j96, j97, j98, j99, j100, j101, j102, j103, j104) =STDEV.P(k95, k96, k97, k98, k99, k100, k101, k102, k103, k104) =STDEV.P(l95, l96, l97, l98, l99, l100, l101, l102, l103, l104) =STDEV.P(m95, m96, m97, m98, m99, m100, m101, m102, m103, m104) =STDEV.P(n95, n96, n97, n98, n99, n100, n101, n102, n103, n104) =STDEV.P(o95, o96, o97, o98, o99, o100, o101, o102, o103, o104) =STDEV.P(p95, p96, p97, p98, p99, p100, p101, p102, p103, p104) =STDEV.P(q95, q96, q97, q98, q99, q100, q101, q102, q103, q104) =STDEV.P(r95, r96, r97, r98, r99, r100, r101, r102, r103, r104) =STDEV.P(s95, s96, s97, s98, s99, s100, s101, s102, s103, s104) =STDEV.P(t95, t96, t97, t98, t99, t100, t101, t102, t103, t104) +=AVERAGE(a105, a106, a107, a108, a109, a110, a111, a112, a113, a114) =AVERAGE(b105, b106, b107, b108, b109, b110, b111, b112, b113, b114) =AVERAGE(c105, c106, c107, c108, c109, c110, c111, c112, c113, c114) =AVERAGE(d105, d106, d107, d108, d109, d110, d111, d112, d113, d114) =AVERAGE(e105, e106, e107, e108, e109, e110, e111, e112, e113, e114) =AVERAGE(f105, f106, f107, f108, f109, f110, f111, f112, f113, f114) =AVERAGE(g105, g106, g107, g108, g109, g110, g111, g112, g113, g114) =AVERAGE(h105, h106, h107, h108, h109, h110, h111, h112, h113, h114) =AVERAGE(i105, i106, i107, i108, i109, i110, i111, i112, i113, i114) =AVERAGE(j105, j106, j107, j108, j109, j110, j111, j112, j113, j114) =AVERAGE(k105, k106, k107, k108, k109, k110, k111, k112, k113, k114) =AVERAGE(l105, l106, l107, l108, l109, l110, l111, l112, l113, l114) =AVERAGE(m105, m106, m107, m108, m109, m110, m111, m112, m113, m114) =AVERAGE(n105, n106, n107, n108, n109, n110, n111, n112, n113, n114) =AVERAGE(o105, o106, o107, o108, o109, o110, o111, o112, o113, o114) =AVERAGE(p105, p106, p107, p108, p109, p110, p111, p112, p113, p114) =AVERAGE(q105, q106, q107, q108, q109, q110, q111, q112, q113, q114) =AVERAGE(r105, r106, r107, r108, r109, r110, r111, r112, r113, r114) =AVERAGE(s105, s106, s107, s108, s109, s110, s111, s112, s113, s114) =AVERAGE(t105, t106, t107, t108, t109, t110, t111, t112, t113, t114) =STDEV.P(a105, a106, a107, a108, a109, a110, a111, a112, a113, a114) =STDEV.P(b105, b106, b107, b108, b109, b110, b111, b112, b113, b114) =STDEV.P(c105, c106, c107, c108, c109, c110, c111, c112, c113, c114) =STDEV.P(d105, d106, d107, d108, d109, d110, d111, d112, d113, d114) =STDEV.P(e105, e106, e107, e108, e109, e110, e111, e112, e113, e114) =STDEV.P(f105, f106, f107, f108, f109, f110, f111, f112, f113, f114) =STDEV.P(g105, g106, g107, g108, g109, g110, g111, g112, g113, g114) =STDEV.P(h105, h106, h107, h108, h109, h110, h111, h112, h113, h114) =STDEV.P(i105, i106, i107, i108, i109, i110, i111, i112, i113, i114) =STDEV.P(j105, j106, j107, j108, j109, j110, j111, j112, j113, j114) =STDEV.P(k105, k106, k107, k108, k109, k110, k111, k112, k113, k114) =STDEV.P(l105, l106, l107, l108, l109, l110, l111, l112, l113, l114) =STDEV.P(m105, m106, m107, m108, m109, m110, m111, m112, m113, m114) =STDEV.P(n105, n106, n107, n108, n109, n110, n111, n112, n113, n114) =STDEV.P(o105, o106, o107, o108, o109, o110, o111, o112, o113, o114) =STDEV.P(p105, p106, p107, p108, p109, p110, p111, p112, p113, p114) =STDEV.P(q105, q106, q107, q108, q109, q110, q111, q112, q113, q114) =STDEV.P(r105, r106, r107, r108, r109, r110, r111, r112, r113, r114) =STDEV.P(s105, s106, s107, s108, s109, s110, s111, s112, s113, s114) =STDEV.P(t105, t106, t107, t108, t109, t110, t111, t112, t113, t114) +=AVERAGE(a115, a116, a117, a118, a119, a120, a121, a122, a123, a124) =AVERAGE(b115, b116, b117, b118, b119, b120, b121, b122, b123, b124) =AVERAGE(c115, c116, c117, c118, c119, c120, c121, c122, c123, c124) =AVERAGE(d115, d116, d117, d118, d119, d120, d121, d122, d123, d124) =AVERAGE(e115, e116, e117, e118, e119, e120, e121, e122, e123, e124) =AVERAGE(f115, f116, f117, f118, f119, f120, f121, f122, f123, f124) =AVERAGE(g115, g116, g117, g118, g119, g120, g121, g122, g123, g124) =AVERAGE(h115, h116, h117, h118, h119, h120, h121, h122, h123, h124) =AVERAGE(i115, i116, i117, i118, i119, i120, i121, i122, i123, i124) =AVERAGE(j115, j116, j117, j118, j119, j120, j121, j122, j123, j124) =AVERAGE(k115, k116, k117, k118, k119, k120, k121, k122, k123, k124) =AVERAGE(l115, l116, l117, l118, l119, l120, l121, l122, l123, l124) =AVERAGE(m115, m116, m117, m118, m119, m120, m121, m122, m123, m124) =AVERAGE(n115, n116, n117, n118, n119, n120, n121, n122, n123, n124) =AVERAGE(o115, o116, o117, o118, o119, o120, o121, o122, o123, o124) =AVERAGE(p115, p116, p117, p118, p119, p120, p121, p122, p123, p124) =AVERAGE(q115, q116, q117, q118, q119, q120, q121, q122, q123, q124) =AVERAGE(r115, r116, r117, r118, r119, r120, r121, r122, r123, r124) =AVERAGE(s115, s116, s117, s118, s119, s120, s121, s122, s123, s124) =AVERAGE(t115, t116, t117, t118, t119, t120, t121, t122, t123, t124) =STDEV.P(a115, a116, a117, a118, a119, a120, a121, a122, a123, a124) =STDEV.P(b115, b116, b117, b118, b119, b120, b121, b122, b123, b124) =STDEV.P(c115, c116, c117, c118, c119, c120, c121, c122, c123, c124) =STDEV.P(d115, d116, d117, d118, d119, d120, d121, d122, d123, d124) =STDEV.P(e115, e116, e117, e118, e119, e120, e121, e122, e123, e124) =STDEV.P(f115, f116, f117, f118, f119, f120, f121, f122, f123, f124) =STDEV.P(g115, g116, g117, g118, g119, g120, g121, g122, g123, g124) =STDEV.P(h115, h116, h117, h118, h119, h120, h121, h122, h123, h124) =STDEV.P(i115, i116, i117, i118, i119, i120, i121, i122, i123, i124) =STDEV.P(j115, j116, j117, j118, j119, j120, j121, j122, j123, j124) =STDEV.P(k115, k116, k117, k118, k119, k120, k121, k122, k123, k124) =STDEV.P(l115, l116, l117, l118, l119, l120, l121, l122, l123, l124) =STDEV.P(m115, m116, m117, m118, m119, m120, m121, m122, m123, m124) =STDEV.P(n115, n116, n117, n118, n119, n120, n121, n122, n123, n124) =STDEV.P(o115, o116, o117, o118, o119, o120, o121, o122, o123, o124) =STDEV.P(p115, p116, p117, p118, p119, p120, p121, p122, p123, p124) =STDEV.P(q115, q116, q117, q118, q119, q120, q121, q122, q123, q124) =STDEV.P(r115, r116, r117, r118, r119, r120, r121, r122, r123, r124) =STDEV.P(s115, s116, s117, s118, s119, s120, s121, s122, s123, s124) =STDEV.P(t115, t116, t117, t118, t119, t120, t121, t122, t123, t124) +=AVERAGE(a125, a126, a127, a128, a129, a130, a131, a132, a133, a134) =AVERAGE(b125, b126, b127, b128, b129, b130, b131, b132, b133, b134) =AVERAGE(c125, c126, c127, c128, c129, c130, c131, c132, c133, c134) =AVERAGE(d125, d126, d127, d128, d129, d130, d131, d132, d133, d134) =AVERAGE(e125, e126, e127, e128, e129, e130, e131, e132, e133, e134) =AVERAGE(f125, f126, f127, f128, f129, f130, f131, f132, f133, f134) =AVERAGE(g125, g126, g127, g128, g129, g130, g131, g132, g133, g134) =AVERAGE(h125, h126, h127, h128, h129, h130, h131, h132, h133, h134) =AVERAGE(i125, i126, i127, i128, i129, i130, i131, i132, i133, i134) =AVERAGE(j125, j126, j127, j128, j129, j130, j131, j132, j133, j134) =AVERAGE(k125, k126, k127, k128, k129, k130, k131, k132, k133, k134) =AVERAGE(l125, l126, l127, l128, l129, l130, l131, l132, l133, l134) =AVERAGE(m125, m126, m127, m128, m129, m130, m131, m132, m133, m134) =AVERAGE(n125, n126, n127, n128, n129, n130, n131, n132, n133, n134) =AVERAGE(o125, o126, o127, o128, o129, o130, o131, o132, o133, o134) =AVERAGE(p125, p126, p127, p128, p129, p130, p131, p132, p133, p134) =AVERAGE(q125, q126, q127, q128, q129, q130, q131, q132, q133, q134) =AVERAGE(r125, r126, r127, r128, r129, r130, r131, r132, r133, r134) =AVERAGE(s125, s126, s127, s128, s129, s130, s131, s132, s133, s134) =AVERAGE(t125, t126, t127, t128, t129, t130, t131, t132, t133, t134) =STDEV.P(a125, a126, a127, a128, a129, a130, a131, a132, a133, a134) =STDEV.P(b125, b126, b127, b128, b129, b130, b131, b132, b133, b134) =STDEV.P(c125, c126, c127, c128, c129, c130, c131, c132, c133, c134) =STDEV.P(d125, d126, d127, d128, d129, d130, d131, d132, d133, d134) =STDEV.P(e125, e126, e127, e128, e129, e130, e131, e132, e133, e134) =STDEV.P(f125, f126, f127, f128, f129, f130, f131, f132, f133, f134) =STDEV.P(g125, g126, g127, g128, g129, g130, g131, g132, g133, g134) =STDEV.P(h125, h126, h127, h128, h129, h130, h131, h132, h133, h134) =STDEV.P(i125, i126, i127, i128, i129, i130, i131, i132, i133, i134) =STDEV.P(j125, j126, j127, j128, j129, j130, j131, j132, j133, j134) =STDEV.P(k125, k126, k127, k128, k129, k130, k131, k132, k133, k134) =STDEV.P(l125, l126, l127, l128, l129, l130, l131, l132, l133, l134) =STDEV.P(m125, m126, m127, m128, m129, m130, m131, m132, m133, m134) =STDEV.P(n125, n126, n127, n128, n129, n130, n131, n132, n133, n134) =STDEV.P(o125, o126, o127, o128, o129, o130, o131, o132, o133, o134) =STDEV.P(p125, p126, p127, p128, p129, p130, p131, p132, p133, p134) =STDEV.P(q125, q126, q127, q128, q129, q130, q131, q132, q133, q134) =STDEV.P(r125, r126, r127, r128, r129, r130, r131, r132, r133, r134) =STDEV.P(s125, s126, s127, s128, s129, s130, s131, s132, s133, s134) =STDEV.P(t125, t126, t127, t128, t129, t130, t131, t132, t133, t134) +=AVERAGE(a135, a136, a137, a138, a139, a140, a141, a142, a143, a144) =AVERAGE(b135, b136, b137, b138, b139, b140, b141, b142, b143, b144) =AVERAGE(c135, c136, c137, c138, c139, c140, c141, c142, c143, c144) =AVERAGE(d135, d136, d137, d138, d139, d140, d141, d142, d143, d144) =AVERAGE(e135, e136, e137, e138, e139, e140, e141, e142, e143, e144) =AVERAGE(f135, f136, f137, f138, f139, f140, f141, f142, f143, f144) =AVERAGE(g135, g136, g137, g138, g139, g140, g141, g142, g143, g144) =AVERAGE(h135, h136, h137, h138, h139, h140, h141, h142, h143, h144) =AVERAGE(i135, i136, i137, i138, i139, i140, i141, i142, i143, i144) =AVERAGE(j135, j136, j137, j138, j139, j140, j141, j142, j143, j144) =AVERAGE(k135, k136, k137, k138, k139, k140, k141, k142, k143, k144) =AVERAGE(l135, l136, l137, l138, l139, l140, l141, l142, l143, l144) =AVERAGE(m135, m136, m137, m138, m139, m140, m141, m142, m143, m144) =AVERAGE(n135, n136, n137, n138, n139, n140, n141, n142, n143, n144) =AVERAGE(o135, o136, o137, o138, o139, o140, o141, o142, o143, o144) =AVERAGE(p135, p136, p137, p138, p139, p140, p141, p142, p143, p144) =AVERAGE(q135, q136, q137, q138, q139, q140, q141, q142, q143, q144) =AVERAGE(r135, r136, r137, r138, r139, r140, r141, r142, r143, r144) =AVERAGE(s135, s136, s137, s138, s139, s140, s141, s142, s143, s144) =AVERAGE(t135, t136, t137, t138, t139, t140, t141, t142, t143, t144) =STDEV.P(a135, a136, a137, a138, a139, a140, a141, a142, a143, a144) =STDEV.P(b135, b136, b137, b138, b139, b140, b141, b142, b143, b144) =STDEV.P(c135, c136, c137, c138, c139, c140, c141, c142, c143, c144) =STDEV.P(d135, d136, d137, d138, d139, d140, d141, d142, d143, d144) =STDEV.P(e135, e136, e137, e138, e139, e140, e141, e142, e143, e144) =STDEV.P(f135, f136, f137, f138, f139, f140, f141, f142, f143, f144) =STDEV.P(g135, g136, g137, g138, g139, g140, g141, g142, g143, g144) =STDEV.P(h135, h136, h137, h138, h139, h140, h141, h142, h143, h144) =STDEV.P(i135, i136, i137, i138, i139, i140, i141, i142, i143, i144) =STDEV.P(j135, j136, j137, j138, j139, j140, j141, j142, j143, j144) =STDEV.P(k135, k136, k137, k138, k139, k140, k141, k142, k143, k144) =STDEV.P(l135, l136, l137, l138, l139, l140, l141, l142, l143, l144) =STDEV.P(m135, m136, m137, m138, m139, m140, m141, m142, m143, m144) =STDEV.P(n135, n136, n137, n138, n139, n140, n141, n142, n143, n144) =STDEV.P(o135, o136, o137, o138, o139, o140, o141, o142, o143, o144) =STDEV.P(p135, p136, p137, p138, p139, p140, p141, p142, p143, p144) =STDEV.P(q135, q136, q137, q138, q139, q140, q141, q142, q143, q144) =STDEV.P(r135, r136, r137, r138, r139, r140, r141, r142, r143, r144) =STDEV.P(s135, s136, s137, s138, s139, s140, s141, s142, s143, s144) =STDEV.P(t135, t136, t137, t138, t139, t140, t141, t142, t143, t144) +=AVERAGE(a145, a146, a147, a148, a149, a150, a151, a152, a153, a154) =AVERAGE(b145, b146, b147, b148, b149, b150, b151, b152, b153, b154) =AVERAGE(c145, c146, c147, c148, c149, c150, c151, c152, c153, c154) =AVERAGE(d145, d146, d147, d148, d149, d150, d151, d152, d153, d154) =AVERAGE(e145, e146, e147, e148, e149, e150, e151, e152, e153, e154) =AVERAGE(f145, f146, f147, f148, f149, f150, f151, f152, f153, f154) =AVERAGE(g145, g146, g147, g148, g149, g150, g151, g152, g153, g154) =AVERAGE(h145, h146, h147, h148, h149, h150, h151, h152, h153, h154) =AVERAGE(i145, i146, i147, i148, i149, i150, i151, i152, i153, i154) =AVERAGE(j145, j146, j147, j148, j149, j150, j151, j152, j153, j154) =AVERAGE(k145, k146, k147, k148, k149, k150, k151, k152, k153, k154) =AVERAGE(l145, l146, l147, l148, l149, l150, l151, l152, l153, l154) =AVERAGE(m145, m146, m147, m148, m149, m150, m151, m152, m153, m154) =AVERAGE(n145, n146, n147, n148, n149, n150, n151, n152, n153, n154) =AVERAGE(o145, o146, o147, o148, o149, o150, o151, o152, o153, o154) =AVERAGE(p145, p146, p147, p148, p149, p150, p151, p152, p153, p154) =AVERAGE(q145, q146, q147, q148, q149, q150, q151, q152, q153, q154) =AVERAGE(r145, r146, r147, r148, r149, r150, r151, r152, r153, r154) =AVERAGE(s145, s146, s147, s148, s149, s150, s151, s152, s153, s154) =AVERAGE(t145, t146, t147, t148, t149, t150, t151, t152, t153, t154) =STDEV.P(a145, a146, a147, a148, a149, a150, a151, a152, a153, a154) =STDEV.P(b145, b146, b147, b148, b149, b150, b151, b152, b153, b154) =STDEV.P(c145, c146, c147, c148, c149, c150, c151, c152, c153, c154) =STDEV.P(d145, d146, d147, d148, d149, d150, d151, d152, d153, d154) =STDEV.P(e145, e146, e147, e148, e149, e150, e151, e152, e153, e154) =STDEV.P(f145, f146, f147, f148, f149, f150, f151, f152, f153, f154) =STDEV.P(g145, g146, g147, g148, g149, g150, g151, g152, g153, g154) =STDEV.P(h145, h146, h147, h148, h149, h150, h151, h152, h153, h154) =STDEV.P(i145, i146, i147, i148, i149, i150, i151, i152, i153, i154) =STDEV.P(j145, j146, j147, j148, j149, j150, j151, j152, j153, j154) =STDEV.P(k145, k146, k147, k148, k149, k150, k151, k152, k153, k154) =STDEV.P(l145, l146, l147, l148, l149, l150, l151, l152, l153, l154) =STDEV.P(m145, m146, m147, m148, m149, m150, m151, m152, m153, m154) =STDEV.P(n145, n146, n147, n148, n149, n150, n151, n152, n153, n154) =STDEV.P(o145, o146, o147, o148, o149, o150, o151, o152, o153, o154) =STDEV.P(p145, p146, p147, p148, p149, p150, p151, p152, p153, p154) =STDEV.P(q145, q146, q147, q148, q149, q150, q151, q152, q153, q154) =STDEV.P(r145, r146, r147, r148, r149, r150, r151, r152, r153, r154) =STDEV.P(s145, s146, s147, s148, s149, s150, s151, s152, s153, s154) =STDEV.P(t145, t146, t147, t148, t149, t150, t151, t152, t153, t154) +=AVERAGE(a155, a156, a157, a158, a159, a160, a161, a162, a163, a164) =AVERAGE(b155, b156, b157, b158, b159, b160, b161, b162, b163, b164) =AVERAGE(c155, c156, c157, c158, c159, c160, c161, c162, c163, c164) =AVERAGE(d155, d156, d157, d158, d159, d160, d161, d162, d163, d164) =AVERAGE(e155, e156, e157, e158, e159, e160, e161, e162, e163, e164) =AVERAGE(f155, f156, f157, f158, f159, f160, f161, f162, f163, f164) =AVERAGE(g155, g156, g157, g158, g159, g160, g161, g162, g163, g164) =AVERAGE(h155, h156, h157, h158, h159, h160, h161, h162, h163, h164) =AVERAGE(i155, i156, i157, i158, i159, i160, i161, i162, i163, i164) =AVERAGE(j155, j156, j157, j158, j159, j160, j161, j162, j163, j164) =AVERAGE(k155, k156, k157, k158, k159, k160, k161, k162, k163, k164) =AVERAGE(l155, l156, l157, l158, l159, l160, l161, l162, l163, l164) =AVERAGE(m155, m156, m157, m158, m159, m160, m161, m162, m163, m164) =AVERAGE(n155, n156, n157, n158, n159, n160, n161, n162, n163, n164) =AVERAGE(o155, o156, o157, o158, o159, o160, o161, o162, o163, o164) =AVERAGE(p155, p156, p157, p158, p159, p160, p161, p162, p163, p164) =AVERAGE(q155, q156, q157, q158, q159, q160, q161, q162, q163, q164) =AVERAGE(r155, r156, r157, r158, r159, r160, r161, r162, r163, r164) =AVERAGE(s155, s156, s157, s158, s159, s160, s161, s162, s163, s164) =AVERAGE(t155, t156, t157, t158, t159, t160, t161, t162, t163, t164) =STDEV.P(a155, a156, a157, a158, a159, a160, a161, a162, a163, a164) =STDEV.P(b155, b156, b157, b158, b159, b160, b161, b162, b163, b164) =STDEV.P(c155, c156, c157, c158, c159, c160, c161, c162, c163, c164) =STDEV.P(d155, d156, d157, d158, d159, d160, d161, d162, d163, d164) =STDEV.P(e155, e156, e157, e158, e159, e160, e161, e162, e163, e164) =STDEV.P(f155, f156, f157, f158, f159, f160, f161, f162, f163, f164) =STDEV.P(g155, g156, g157, g158, g159, g160, g161, g162, g163, g164) =STDEV.P(h155, h156, h157, h158, h159, h160, h161, h162, h163, h164) =STDEV.P(i155, i156, i157, i158, i159, i160, i161, i162, i163, i164) =STDEV.P(j155, j156, j157, j158, j159, j160, j161, j162, j163, j164) =STDEV.P(k155, k156, k157, k158, k159, k160, k161, k162, k163, k164) =STDEV.P(l155, l156, l157, l158, l159, l160, l161, l162, l163, l164) =STDEV.P(m155, m156, m157, m158, m159, m160, m161, m162, m163, m164) =STDEV.P(n155, n156, n157, n158, n159, n160, n161, n162, n163, n164) =STDEV.P(o155, o156, o157, o158, o159, o160, o161, o162, o163, o164) =STDEV.P(p155, p156, p157, p158, p159, p160, p161, p162, p163, p164) =STDEV.P(q155, q156, q157, q158, q159, q160, q161, q162, q163, q164) =STDEV.P(r155, r156, r157, r158, r159, r160, r161, r162, r163, r164) =STDEV.P(s155, s156, s157, s158, s159, s160, s161, s162, s163, s164) =STDEV.P(t155, t156, t157, t158, t159, t160, t161, t162, t163, t164) +=AVERAGE(a165, a166, a167, a168, a169, a170, a171, a172, a173, a174) =AVERAGE(b165, b166, b167, b168, b169, b170, b171, b172, b173, b174) =AVERAGE(c165, c166, c167, c168, c169, c170, c171, c172, c173, c174) =AVERAGE(d165, d166, d167, d168, d169, d170, d171, d172, d173, d174) =AVERAGE(e165, e166, e167, e168, e169, e170, e171, e172, e173, e174) =AVERAGE(f165, f166, f167, f168, f169, f170, f171, f172, f173, f174) =AVERAGE(g165, g166, g167, g168, g169, g170, g171, g172, g173, g174) =AVERAGE(h165, h166, h167, h168, h169, h170, h171, h172, h173, h174) =AVERAGE(i165, i166, i167, i168, i169, i170, i171, i172, i173, i174) =AVERAGE(j165, j166, j167, j168, j169, j170, j171, j172, j173, j174) =AVERAGE(k165, k166, k167, k168, k169, k170, k171, k172, k173, k174) =AVERAGE(l165, l166, l167, l168, l169, l170, l171, l172, l173, l174) =AVERAGE(m165, m166, m167, m168, m169, m170, m171, m172, m173, m174) =AVERAGE(n165, n166, n167, n168, n169, n170, n171, n172, n173, n174) =AVERAGE(o165, o166, o167, o168, o169, o170, o171, o172, o173, o174) =AVERAGE(p165, p166, p167, p168, p169, p170, p171, p172, p173, p174) =AVERAGE(q165, q166, q167, q168, q169, q170, q171, q172, q173, q174) =AVERAGE(r165, r166, r167, r168, r169, r170, r171, r172, r173, r174) =AVERAGE(s165, s166, s167, s168, s169, s170, s171, s172, s173, s174) =AVERAGE(t165, t166, t167, t168, t169, t170, t171, t172, t173, t174) =STDEV.P(a165, a166, a167, a168, a169, a170, a171, a172, a173, a174) =STDEV.P(b165, b166, b167, b168, b169, b170, b171, b172, b173, b174) =STDEV.P(c165, c166, c167, c168, c169, c170, c171, c172, c173, c174) =STDEV.P(d165, d166, d167, d168, d169, d170, d171, d172, d173, d174) =STDEV.P(e165, e166, e167, e168, e169, e170, e171, e172, e173, e174) =STDEV.P(f165, f166, f167, f168, f169, f170, f171, f172, f173, f174) =STDEV.P(g165, g166, g167, g168, g169, g170, g171, g172, g173, g174) =STDEV.P(h165, h166, h167, h168, h169, h170, h171, h172, h173, h174) =STDEV.P(i165, i166, i167, i168, i169, i170, i171, i172, i173, i174) =STDEV.P(j165, j166, j167, j168, j169, j170, j171, j172, j173, j174) =STDEV.P(k165, k166, k167, k168, k169, k170, k171, k172, k173, k174) =STDEV.P(l165, l166, l167, l168, l169, l170, l171, l172, l173, l174) =STDEV.P(m165, m166, m167, m168, m169, m170, m171, m172, m173, m174) =STDEV.P(n165, n166, n167, n168, n169, n170, n171, n172, n173, n174) =STDEV.P(o165, o166, o167, o168, o169, o170, o171, o172, o173, o174) =STDEV.P(p165, p166, p167, p168, p169, p170, p171, p172, p173, p174) =STDEV.P(q165, q166, q167, q168, q169, q170, q171, q172, q173, q174) =STDEV.P(r165, r166, r167, r168, r169, r170, r171, r172, r173, r174) =STDEV.P(s165, s166, s167, s168, s169, s170, s171, s172, s173, s174) =STDEV.P(t165, t166, t167, t168, t169, t170, t171, t172, t173, t174) +=AVERAGE(a175, a176, a177, a178, a179, a180, a181, a182, a183, a184) =AVERAGE(b175, b176, b177, b178, b179, b180, b181, b182, b183, b184) =AVERAGE(c175, c176, c177, c178, c179, c180, c181, c182, c183, c184) =AVERAGE(d175, d176, d177, d178, d179, d180, d181, d182, d183, d184) =AVERAGE(e175, e176, e177, e178, e179, e180, e181, e182, e183, e184) =AVERAGE(f175, f176, f177, f178, f179, f180, f181, f182, f183, f184) =AVERAGE(g175, g176, g177, g178, g179, g180, g181, g182, g183, g184) =AVERAGE(h175, h176, h177, h178, h179, h180, h181, h182, h183, h184) =AVERAGE(i175, i176, i177, i178, i179, i180, i181, i182, i183, i184) =AVERAGE(j175, j176, j177, j178, j179, j180, j181, j182, j183, j184) =AVERAGE(k175, k176, k177, k178, k179, k180, k181, k182, k183, k184) =AVERAGE(l175, l176, l177, l178, l179, l180, l181, l182, l183, l184) =AVERAGE(m175, m176, m177, m178, m179, m180, m181, m182, m183, m184) =AVERAGE(n175, n176, n177, n178, n179, n180, n181, n182, n183, n184) =AVERAGE(o175, o176, o177, o178, o179, o180, o181, o182, o183, o184) =AVERAGE(p175, p176, p177, p178, p179, p180, p181, p182, p183, p184) =AVERAGE(q175, q176, q177, q178, q179, q180, q181, q182, q183, q184) =AVERAGE(r175, r176, r177, r178, r179, r180, r181, r182, r183, r184) =AVERAGE(s175, s176, s177, s178, s179, s180, s181, s182, s183, s184) =AVERAGE(t175, t176, t177, t178, t179, t180, t181, t182, t183, t184) =STDEV.P(a175, a176, a177, a178, a179, a180, a181, a182, a183, a184) =STDEV.P(b175, b176, b177, b178, b179, b180, b181, b182, b183, b184) =STDEV.P(c175, c176, c177, c178, c179, c180, c181, c182, c183, c184) =STDEV.P(d175, d176, d177, d178, d179, d180, d181, d182, d183, d184) =STDEV.P(e175, e176, e177, e178, e179, e180, e181, e182, e183, e184) =STDEV.P(f175, f176, f177, f178, f179, f180, f181, f182, f183, f184) =STDEV.P(g175, g176, g177, g178, g179, g180, g181, g182, g183, g184) =STDEV.P(h175, h176, h177, h178, h179, h180, h181, h182, h183, h184) =STDEV.P(i175, i176, i177, i178, i179, i180, i181, i182, i183, i184) =STDEV.P(j175, j176, j177, j178, j179, j180, j181, j182, j183, j184) =STDEV.P(k175, k176, k177, k178, k179, k180, k181, k182, k183, k184) =STDEV.P(l175, l176, l177, l178, l179, l180, l181, l182, l183, l184) =STDEV.P(m175, m176, m177, m178, m179, m180, m181, m182, m183, m184) =STDEV.P(n175, n176, n177, n178, n179, n180, n181, n182, n183, n184) =STDEV.P(o175, o176, o177, o178, o179, o180, o181, o182, o183, o184) =STDEV.P(p175, p176, p177, p178, p179, p180, p181, p182, p183, p184) =STDEV.P(q175, q176, q177, q178, q179, q180, q181, q182, q183, q184) =STDEV.P(r175, r176, r177, r178, r179, r180, r181, r182, r183, r184) =STDEV.P(s175, s176, s177, s178, s179, s180, s181, s182, s183, s184) =STDEV.P(t175, t176, t177, t178, t179, t180, t181, t182, t183, t184) +=AVERAGE(a185, a186, a187, a188, a189, a190, a191, a192, a193, a194) =AVERAGE(b185, b186, b187, b188, b189, b190, b191, b192, b193, b194) =AVERAGE(c185, c186, c187, c188, c189, c190, c191, c192, c193, c194) =AVERAGE(d185, d186, d187, d188, d189, d190, d191, d192, d193, d194) =AVERAGE(e185, e186, e187, e188, e189, e190, e191, e192, e193, e194) =AVERAGE(f185, f186, f187, f188, f189, f190, f191, f192, f193, f194) =AVERAGE(g185, g186, g187, g188, g189, g190, g191, g192, g193, g194) =AVERAGE(h185, h186, h187, h188, h189, h190, h191, h192, h193, h194) =AVERAGE(i185, i186, i187, i188, i189, i190, i191, i192, i193, i194) =AVERAGE(j185, j186, j187, j188, j189, j190, j191, j192, j193, j194) =AVERAGE(k185, k186, k187, k188, k189, k190, k191, k192, k193, k194) =AVERAGE(l185, l186, l187, l188, l189, l190, l191, l192, l193, l194) =AVERAGE(m185, m186, m187, m188, m189, m190, m191, m192, m193, m194) =AVERAGE(n185, n186, n187, n188, n189, n190, n191, n192, n193, n194) =AVERAGE(o185, o186, o187, o188, o189, o190, o191, o192, o193, o194) =AVERAGE(p185, p186, p187, p188, p189, p190, p191, p192, p193, p194) =AVERAGE(q185, q186, q187, q188, q189, q190, q191, q192, q193, q194) =AVERAGE(r185, r186, r187, r188, r189, r190, r191, r192, r193, r194) =AVERAGE(s185, s186, s187, s188, s189, s190, s191, s192, s193, s194) =AVERAGE(t185, t186, t187, t188, t189, t190, t191, t192, t193, t194) =STDEV.P(a185, a186, a187, a188, a189, a190, a191, a192, a193, a194) =STDEV.P(b185, b186, b187, b188, b189, b190, b191, b192, b193, b194) =STDEV.P(c185, c186, c187, c188, c189, c190, c191, c192, c193, c194) =STDEV.P(d185, d186, d187, d188, d189, d190, d191, d192, d193, d194) =STDEV.P(e185, e186, e187, e188, e189, e190, e191, e192, e193, e194) =STDEV.P(f185, f186, f187, f188, f189, f190, f191, f192, f193, f194) =STDEV.P(g185, g186, g187, g188, g189, g190, g191, g192, g193, g194) =STDEV.P(h185, h186, h187, h188, h189, h190, h191, h192, h193, h194) =STDEV.P(i185, i186, i187, i188, i189, i190, i191, i192, i193, i194) =STDEV.P(j185, j186, j187, j188, j189, j190, j191, j192, j193, j194) =STDEV.P(k185, k186, k187, k188, k189, k190, k191, k192, k193, k194) =STDEV.P(l185, l186, l187, l188, l189, l190, l191, l192, l193, l194) =STDEV.P(m185, m186, m187, m188, m189, m190, m191, m192, m193, m194) =STDEV.P(n185, n186, n187, n188, n189, n190, n191, n192, n193, n194) =STDEV.P(o185, o186, o187, o188, o189, o190, o191, o192, o193, o194) =STDEV.P(p185, p186, p187, p188, p189, p190, p191, p192, p193, p194) =STDEV.P(q185, q186, q187, q188, q189, q190, q191, q192, q193, q194) =STDEV.P(r185, r186, r187, r188, r189, r190, r191, r192, r193, r194) =STDEV.P(s185, s186, s187, s188, s189, s190, s191, s192, s193, s194) =STDEV.P(t185, t186, t187, t188, t189, t190, t191, t192, t193, t194) +=AVERAGE(a195, a196, a197, a198, a199, a200, a201, a202, a203, a204) =AVERAGE(b195, b196, b197, b198, b199, b200, b201, b202, b203, b204) =AVERAGE(c195, c196, c197, c198, c199, c200, c201, c202, c203, c204) =AVERAGE(d195, d196, d197, d198, d199, d200, d201, d202, d203, d204) =AVERAGE(e195, e196, e197, e198, e199, e200, e201, e202, e203, e204) =AVERAGE(f195, f196, f197, f198, f199, f200, f201, f202, f203, f204) =AVERAGE(g195, g196, g197, g198, g199, g200, g201, g202, g203, g204) =AVERAGE(h195, h196, h197, h198, h199, h200, h201, h202, h203, h204) =AVERAGE(i195, i196, i197, i198, i199, i200, i201, i202, i203, i204) =AVERAGE(j195, j196, j197, j198, j199, j200, j201, j202, j203, j204) =AVERAGE(k195, k196, k197, k198, k199, k200, k201, k202, k203, k204) =AVERAGE(l195, l196, l197, l198, l199, l200, l201, l202, l203, l204) =AVERAGE(m195, m196, m197, m198, m199, m200, m201, m202, m203, m204) =AVERAGE(n195, n196, n197, n198, n199, n200, n201, n202, n203, n204) =AVERAGE(o195, o196, o197, o198, o199, o200, o201, o202, o203, o204) =AVERAGE(p195, p196, p197, p198, p199, p200, p201, p202, p203, p204) =AVERAGE(q195, q196, q197, q198, q199, q200, q201, q202, q203, q204) =AVERAGE(r195, r196, r197, r198, r199, r200, r201, r202, r203, r204) =AVERAGE(s195, s196, s197, s198, s199, s200, s201, s202, s203, s204) =AVERAGE(t195, t196, t197, t198, t199, t200, t201, t202, t203, t204) =STDEV.P(a195, a196, a197, a198, a199, a200, a201, a202, a203, a204) =STDEV.P(b195, b196, b197, b198, b199, b200, b201, b202, b203, b204) =STDEV.P(c195, c196, c197, c198, c199, c200, c201, c202, c203, c204) =STDEV.P(d195, d196, d197, d198, d199, d200, d201, d202, d203, d204) =STDEV.P(e195, e196, e197, e198, e199, e200, e201, e202, e203, e204) =STDEV.P(f195, f196, f197, f198, f199, f200, f201, f202, f203, f204) =STDEV.P(g195, g196, g197, g198, g199, g200, g201, g202, g203, g204) =STDEV.P(h195, h196, h197, h198, h199, h200, h201, h202, h203, h204) =STDEV.P(i195, i196, i197, i198, i199, i200, i201, i202, i203, i204) =STDEV.P(j195, j196, j197, j198, j199, j200, j201, j202, j203, j204) =STDEV.P(k195, k196, k197, k198, k199, k200, k201, k202, k203, k204) =STDEV.P(l195, l196, l197, l198, l199, l200, l201, l202, l203, l204) =STDEV.P(m195, m196, m197, m198, m199, m200, m201, m202, m203, m204) =STDEV.P(n195, n196, n197, n198, n199, n200, n201, n202, n203, n204) =STDEV.P(o195, o196, o197, o198, o199, o200, o201, o202, o203, o204) =STDEV.P(p195, p196, p197, p198, p199, p200, p201, p202, p203, p204) =STDEV.P(q195, q196, q197, q198, q199, q200, q201, q202, q203, q204) =STDEV.P(r195, r196, r197, r198, r199, r200, r201, r202, r203, r204) =STDEV.P(s195, s196, s197, s198, s199, s200, s201, s202, s203, s204) =STDEV.P(t195, t196, t197, t198, t199, t200, t201, t202, t203, t204) +=AVERAGE(a205, a206, a207, a208, a209, a210, a211, a212, a213, a214) =AVERAGE(b205, b206, b207, b208, b209, b210, b211, b212, b213, b214) =AVERAGE(c205, c206, c207, c208, c209, c210, c211, c212, c213, c214) =AVERAGE(d205, d206, d207, d208, d209, d210, d211, d212, d213, d214) =AVERAGE(e205, e206, e207, e208, e209, e210, e211, e212, e213, e214) =AVERAGE(f205, f206, f207, f208, f209, f210, f211, f212, f213, f214) =AVERAGE(g205, g206, g207, g208, g209, g210, g211, g212, g213, g214) =AVERAGE(h205, h206, h207, h208, h209, h210, h211, h212, h213, h214) =AVERAGE(i205, i206, i207, i208, i209, i210, i211, i212, i213, i214) =AVERAGE(j205, j206, j207, j208, j209, j210, j211, j212, j213, j214) =AVERAGE(k205, k206, k207, k208, k209, k210, k211, k212, k213, k214) =AVERAGE(l205, l206, l207, l208, l209, l210, l211, l212, l213, l214) =AVERAGE(m205, m206, m207, m208, m209, m210, m211, m212, m213, m214) =AVERAGE(n205, n206, n207, n208, n209, n210, n211, n212, n213, n214) =AVERAGE(o205, o206, o207, o208, o209, o210, o211, o212, o213, o214) =AVERAGE(p205, p206, p207, p208, p209, p210, p211, p212, p213, p214) =AVERAGE(q205, q206, q207, q208, q209, q210, q211, q212, q213, q214) =AVERAGE(r205, r206, r207, r208, r209, r210, r211, r212, r213, r214) =AVERAGE(s205, s206, s207, s208, s209, s210, s211, s212, s213, s214) =AVERAGE(t205, t206, t207, t208, t209, t210, t211, t212, t213, t214) =STDEV.P(a205, a206, a207, a208, a209, a210, a211, a212, a213, a214) =STDEV.P(b205, b206, b207, b208, b209, b210, b211, b212, b213, b214) =STDEV.P(c205, c206, c207, c208, c209, c210, c211, c212, c213, c214) =STDEV.P(d205, d206, d207, d208, d209, d210, d211, d212, d213, d214) =STDEV.P(e205, e206, e207, e208, e209, e210, e211, e212, e213, e214) =STDEV.P(f205, f206, f207, f208, f209, f210, f211, f212, f213, f214) =STDEV.P(g205, g206, g207, g208, g209, g210, g211, g212, g213, g214) =STDEV.P(h205, h206, h207, h208, h209, h210, h211, h212, h213, h214) =STDEV.P(i205, i206, i207, i208, i209, i210, i211, i212, i213, i214) =STDEV.P(j205, j206, j207, j208, j209, j210, j211, j212, j213, j214) =STDEV.P(k205, k206, k207, k208, k209, k210, k211, k212, k213, k214) =STDEV.P(l205, l206, l207, l208, l209, l210, l211, l212, l213, l214) =STDEV.P(m205, m206, m207, m208, m209, m210, m211, m212, m213, m214) =STDEV.P(n205, n206, n207, n208, n209, n210, n211, n212, n213, n214) =STDEV.P(o205, o206, o207, o208, o209, o210, o211, o212, o213, o214) =STDEV.P(p205, p206, p207, p208, p209, p210, p211, p212, p213, p214) =STDEV.P(q205, q206, q207, q208, q209, q210, q211, q212, q213, q214) =STDEV.P(r205, r206, r207, r208, r209, r210, r211, r212, r213, r214) =STDEV.P(s205, s206, s207, s208, s209, s210, s211, s212, s213, s214) =STDEV.P(t205, t206, t207, t208, t209, t210, t211, t212, t213, t214) +=AVERAGE(a215, a216, a217, a218, a219, a220, a221, a222, a223, a224) =AVERAGE(b215, b216, b217, b218, b219, b220, b221, b222, b223, b224) =AVERAGE(c215, c216, c217, c218, c219, c220, c221, c222, c223, c224) =AVERAGE(d215, d216, d217, d218, d219, d220, d221, d222, d223, d224) =AVERAGE(e215, e216, e217, e218, e219, e220, e221, e222, e223, e224) =AVERAGE(f215, f216, f217, f218, f219, f220, f221, f222, f223, f224) =AVERAGE(g215, g216, g217, g218, g219, g220, g221, g222, g223, g224) =AVERAGE(h215, h216, h217, h218, h219, h220, h221, h222, h223, h224) =AVERAGE(i215, i216, i217, i218, i219, i220, i221, i222, i223, i224) =AVERAGE(j215, j216, j217, j218, j219, j220, j221, j222, j223, j224) =AVERAGE(k215, k216, k217, k218, k219, k220, k221, k222, k223, k224) =AVERAGE(l215, l216, l217, l218, l219, l220, l221, l222, l223, l224) =AVERAGE(m215, m216, m217, m218, m219, m220, m221, m222, m223, m224) =AVERAGE(n215, n216, n217, n218, n219, n220, n221, n222, n223, n224) =AVERAGE(o215, o216, o217, o218, o219, o220, o221, o222, o223, o224) =AVERAGE(p215, p216, p217, p218, p219, p220, p221, p222, p223, p224) =AVERAGE(q215, q216, q217, q218, q219, q220, q221, q222, q223, q224) =AVERAGE(r215, r216, r217, r218, r219, r220, r221, r222, r223, r224) =AVERAGE(s215, s216, s217, s218, s219, s220, s221, s222, s223, s224) =AVERAGE(t215, t216, t217, t218, t219, t220, t221, t222, t223, t224) =STDEV.P(a215, a216, a217, a218, a219, a220, a221, a222, a223, a224) =STDEV.P(b215, b216, b217, b218, b219, b220, b221, b222, b223, b224) =STDEV.P(c215, c216, c217, c218, c219, c220, c221, c222, c223, c224) =STDEV.P(d215, d216, d217, d218, d219, d220, d221, d222, d223, d224) =STDEV.P(e215, e216, e217, e218, e219, e220, e221, e222, e223, e224) =STDEV.P(f215, f216, f217, f218, f219, f220, f221, f222, f223, f224) =STDEV.P(g215, g216, g217, g218, g219, g220, g221, g222, g223, g224) =STDEV.P(h215, h216, h217, h218, h219, h220, h221, h222, h223, h224) =STDEV.P(i215, i216, i217, i218, i219, i220, i221, i222, i223, i224) =STDEV.P(j215, j216, j217, j218, j219, j220, j221, j222, j223, j224) =STDEV.P(k215, k216, k217, k218, k219, k220, k221, k222, k223, k224) =STDEV.P(l215, l216, l217, l218, l219, l220, l221, l222, l223, l224) =STDEV.P(m215, m216, m217, m218, m219, m220, m221, m222, m223, m224) =STDEV.P(n215, n216, n217, n218, n219, n220, n221, n222, n223, n224) =STDEV.P(o215, o216, o217, o218, o219, o220, o221, o222, o223, o224) =STDEV.P(p215, p216, p217, p218, p219, p220, p221, p222, p223, p224) =STDEV.P(q215, q216, q217, q218, q219, q220, q221, q222, q223, q224) =STDEV.P(r215, r216, r217, r218, r219, r220, r221, r222, r223, r224) =STDEV.P(s215, s216, s217, s218, s219, s220, s221, s222, s223, s224) =STDEV.P(t215, t216, t217, t218, t219, t220, t221, t222, t223, t224) +=AVERAGE(a225, a226, a227, a228, a229, a230, a231, a232, a233, a234) =AVERAGE(b225, b226, b227, b228, b229, b230, b231, b232, b233, b234) =AVERAGE(c225, c226, c227, c228, c229, c230, c231, c232, c233, c234) =AVERAGE(d225, d226, d227, d228, d229, d230, d231, d232, d233, d234) =AVERAGE(e225, e226, e227, e228, e229, e230, e231, e232, e233, e234) =AVERAGE(f225, f226, f227, f228, f229, f230, f231, f232, f233, f234) =AVERAGE(g225, g226, g227, g228, g229, g230, g231, g232, g233, g234) =AVERAGE(h225, h226, h227, h228, h229, h230, h231, h232, h233, h234) =AVERAGE(i225, i226, i227, i228, i229, i230, i231, i232, i233, i234) =AVERAGE(j225, j226, j227, j228, j229, j230, j231, j232, j233, j234) =AVERAGE(k225, k226, k227, k228, k229, k230, k231, k232, k233, k234) =AVERAGE(l225, l226, l227, l228, l229, l230, l231, l232, l233, l234) =AVERAGE(m225, m226, m227, m228, m229, m230, m231, m232, m233, m234) =AVERAGE(n225, n226, n227, n228, n229, n230, n231, n232, n233, n234) =AVERAGE(o225, o226, o227, o228, o229, o230, o231, o232, o233, o234) =AVERAGE(p225, p226, p227, p228, p229, p230, p231, p232, p233, p234) =AVERAGE(q225, q226, q227, q228, q229, q230, q231, q232, q233, q234) =AVERAGE(r225, r226, r227, r228, r229, r230, r231, r232, r233, r234) =AVERAGE(s225, s226, s227, s228, s229, s230, s231, s232, s233, s234) =AVERAGE(t225, t226, t227, t228, t229, t230, t231, t232, t233, t234) =STDEV.P(a225, a226, a227, a228, a229, a230, a231, a232, a233, a234) =STDEV.P(b225, b226, b227, b228, b229, b230, b231, b232, b233, b234) =STDEV.P(c225, c226, c227, c228, c229, c230, c231, c232, c233, c234) =STDEV.P(d225, d226, d227, d228, d229, d230, d231, d232, d233, d234) =STDEV.P(e225, e226, e227, e228, e229, e230, e231, e232, e233, e234) =STDEV.P(f225, f226, f227, f228, f229, f230, f231, f232, f233, f234) =STDEV.P(g225, g226, g227, g228, g229, g230, g231, g232, g233, g234) =STDEV.P(h225, h226, h227, h228, h229, h230, h231, h232, h233, h234) =STDEV.P(i225, i226, i227, i228, i229, i230, i231, i232, i233, i234) =STDEV.P(j225, j226, j227, j228, j229, j230, j231, j232, j233, j234) =STDEV.P(k225, k226, k227, k228, k229, k230, k231, k232, k233, k234) =STDEV.P(l225, l226, l227, l228, l229, l230, l231, l232, l233, l234) =STDEV.P(m225, m226, m227, m228, m229, m230, m231, m232, m233, m234) =STDEV.P(n225, n226, n227, n228, n229, n230, n231, n232, n233, n234) =STDEV.P(o225, o226, o227, o228, o229, o230, o231, o232, o233, o234) =STDEV.P(p225, p226, p227, p228, p229, p230, p231, p232, p233, p234) =STDEV.P(q225, q226, q227, q228, q229, q230, q231, q232, q233, q234) =STDEV.P(r225, r226, r227, r228, r229, r230, r231, r232, r233, r234) =STDEV.P(s225, s226, s227, s228, s229, s230, s231, s232, s233, s234) =STDEV.P(t225, t226, t227, t228, t229, t230, t231, t232, t233, t234) +=AVERAGE(a235, a236, a237, a238, a239, a240, a241, a242, a243, a244) =AVERAGE(b235, b236, b237, b238, b239, b240, b241, b242, b243, b244) =AVERAGE(c235, c236, c237, c238, c239, c240, c241, c242, c243, c244) =AVERAGE(d235, d236, d237, d238, d239, d240, d241, d242, d243, d244) =AVERAGE(e235, e236, e237, e238, e239, e240, e241, e242, e243, e244) =AVERAGE(f235, f236, f237, f238, f239, f240, f241, f242, f243, f244) =AVERAGE(g235, g236, g237, g238, g239, g240, g241, g242, g243, g244) =AVERAGE(h235, h236, h237, h238, h239, h240, h241, h242, h243, h244) =AVERAGE(i235, i236, i237, i238, i239, i240, i241, i242, i243, i244) =AVERAGE(j235, j236, j237, j238, j239, j240, j241, j242, j243, j244) =AVERAGE(k235, k236, k237, k238, k239, k240, k241, k242, k243, k244) =AVERAGE(l235, l236, l237, l238, l239, l240, l241, l242, l243, l244) =AVERAGE(m235, m236, m237, m238, m239, m240, m241, m242, m243, m244) =AVERAGE(n235, n236, n237, n238, n239, n240, n241, n242, n243, n244) =AVERAGE(o235, o236, o237, o238, o239, o240, o241, o242, o243, o244) =AVERAGE(p235, p236, p237, p238, p239, p240, p241, p242, p243, p244) =AVERAGE(q235, q236, q237, q238, q239, q240, q241, q242, q243, q244) =AVERAGE(r235, r236, r237, r238, r239, r240, r241, r242, r243, r244) =AVERAGE(s235, s236, s237, s238, s239, s240, s241, s242, s243, s244) =AVERAGE(t235, t236, t237, t238, t239, t240, t241, t242, t243, t244) =STDEV.P(a235, a236, a237, a238, a239, a240, a241, a242, a243, a244) =STDEV.P(b235, b236, b237, b238, b239, b240, b241, b242, b243, b244) =STDEV.P(c235, c236, c237, c238, c239, c240, c241, c242, c243, c244) =STDEV.P(d235, d236, d237, d238, d239, d240, d241, d242, d243, d244) =STDEV.P(e235, e236, e237, e238, e239, e240, e241, e242, e243, e244) =STDEV.P(f235, f236, f237, f238, f239, f240, f241, f242, f243, f244) =STDEV.P(g235, g236, g237, g238, g239, g240, g241, g242, g243, g244) =STDEV.P(h235, h236, h237, h238, h239, h240, h241, h242, h243, h244) =STDEV.P(i235, i236, i237, i238, i239, i240, i241, i242, i243, i244) =STDEV.P(j235, j236, j237, j238, j239, j240, j241, j242, j243, j244) =STDEV.P(k235, k236, k237, k238, k239, k240, k241, k242, k243, k244) =STDEV.P(l235, l236, l237, l238, l239, l240, l241, l242, l243, l244) =STDEV.P(m235, m236, m237, m238, m239, m240, m241, m242, m243, m244) =STDEV.P(n235, n236, n237, n238, n239, n240, n241, n242, n243, n244) =STDEV.P(o235, o236, o237, o238, o239, o240, o241, o242, o243, o244) =STDEV.P(p235, p236, p237, p238, p239, p240, p241, p242, p243, p244) =STDEV.P(q235, q236, q237, q238, q239, q240, q241, q242, q243, q244) =STDEV.P(r235, r236, r237, r238, r239, r240, r241, r242, r243, r244) =STDEV.P(s235, s236, s237, s238, s239, s240, s241, s242, s243, s244) =STDEV.P(t235, t236, t237, t238, t239, t240, t241, t242, t243, t244) +=AVERAGE(a245, a246, a247, a248, a249, a250, a251, a252, a253, a254) =AVERAGE(b245, b246, b247, b248, b249, b250, b251, b252, b253, b254) =AVERAGE(c245, c246, c247, c248, c249, c250, c251, c252, c253, c254) =AVERAGE(d245, d246, d247, d248, d249, d250, d251, d252, d253, d254) =AVERAGE(e245, e246, e247, e248, e249, e250, e251, e252, e253, e254) =AVERAGE(f245, f246, f247, f248, f249, f250, f251, f252, f253, f254) =AVERAGE(g245, g246, g247, g248, g249, g250, g251, g252, g253, g254) =AVERAGE(h245, h246, h247, h248, h249, h250, h251, h252, h253, h254) =AVERAGE(i245, i246, i247, i248, i249, i250, i251, i252, i253, i254) =AVERAGE(j245, j246, j247, j248, j249, j250, j251, j252, j253, j254) =AVERAGE(k245, k246, k247, k248, k249, k250, k251, k252, k253, k254) =AVERAGE(l245, l246, l247, l248, l249, l250, l251, l252, l253, l254) =AVERAGE(m245, m246, m247, m248, m249, m250, m251, m252, m253, m254) =AVERAGE(n245, n246, n247, n248, n249, n250, n251, n252, n253, n254) =AVERAGE(o245, o246, o247, o248, o249, o250, o251, o252, o253, o254) =AVERAGE(p245, p246, p247, p248, p249, p250, p251, p252, p253, p254) =AVERAGE(q245, q246, q247, q248, q249, q250, q251, q252, q253, q254) =AVERAGE(r245, r246, r247, r248, r249, r250, r251, r252, r253, r254) =AVERAGE(s245, s246, s247, s248, s249, s250, s251, s252, s253, s254) =AVERAGE(t245, t246, t247, t248, t249, t250, t251, t252, t253, t254) =STDEV.P(a245, a246, a247, a248, a249, a250, a251, a252, a253, a254) =STDEV.P(b245, b246, b247, b248, b249, b250, b251, b252, b253, b254) =STDEV.P(c245, c246, c247, c248, c249, c250, c251, c252, c253, c254) =STDEV.P(d245, d246, d247, d248, d249, d250, d251, d252, d253, d254) =STDEV.P(e245, e246, e247, e248, e249, e250, e251, e252, e253, e254) =STDEV.P(f245, f246, f247, f248, f249, f250, f251, f252, f253, f254) =STDEV.P(g245, g246, g247, g248, g249, g250, g251, g252, g253, g254) =STDEV.P(h245, h246, h247, h248, h249, h250, h251, h252, h253, h254) =STDEV.P(i245, i246, i247, i248, i249, i250, i251, i252, i253, i254) =STDEV.P(j245, j246, j247, j248, j249, j250, j251, j252, j253, j254) =STDEV.P(k245, k246, k247, k248, k249, k250, k251, k252, k253, k254) =STDEV.P(l245, l246, l247, l248, l249, l250, l251, l252, l253, l254) =STDEV.P(m245, m246, m247, m248, m249, m250, m251, m252, m253, m254) =STDEV.P(n245, n246, n247, n248, n249, n250, n251, n252, n253, n254) =STDEV.P(o245, o246, o247, o248, o249, o250, o251, o252, o253, o254) =STDEV.P(p245, p246, p247, p248, p249, p250, p251, p252, p253, p254) =STDEV.P(q245, q246, q247, q248, q249, q250, q251, q252, q253, q254) =STDEV.P(r245, r246, r247, r248, r249, r250, r251, r252, r253, r254) =STDEV.P(s245, s246, s247, s248, s249, s250, s251, s252, s253, s254) =STDEV.P(t245, t246, t247, t248, t249, t250, t251, t252, t253, t254) +=AVERAGE(a255, a256, a257, a258, a259, a260, a261, a262, a263, a264) =AVERAGE(b255, b256, b257, b258, b259, b260, b261, b262, b263, b264) =AVERAGE(c255, c256, c257, c258, c259, c260, c261, c262, c263, c264) =AVERAGE(d255, d256, d257, d258, d259, d260, d261, d262, d263, d264) =AVERAGE(e255, e256, e257, e258, e259, e260, e261, e262, e263, e264) =AVERAGE(f255, f256, f257, f258, f259, f260, f261, f262, f263, f264) =AVERAGE(g255, g256, g257, g258, g259, g260, g261, g262, g263, g264) =AVERAGE(h255, h256, h257, h258, h259, h260, h261, h262, h263, h264) =AVERAGE(i255, i256, i257, i258, i259, i260, i261, i262, i263, i264) =AVERAGE(j255, j256, j257, j258, j259, j260, j261, j262, j263, j264) =AVERAGE(k255, k256, k257, k258, k259, k260, k261, k262, k263, k264) =AVERAGE(l255, l256, l257, l258, l259, l260, l261, l262, l263, l264) =AVERAGE(m255, m256, m257, m258, m259, m260, m261, m262, m263, m264) =AVERAGE(n255, n256, n257, n258, n259, n260, n261, n262, n263, n264) =AVERAGE(o255, o256, o257, o258, o259, o260, o261, o262, o263, o264) =AVERAGE(p255, p256, p257, p258, p259, p260, p261, p262, p263, p264) =AVERAGE(q255, q256, q257, q258, q259, q260, q261, q262, q263, q264) =AVERAGE(r255, r256, r257, r258, r259, r260, r261, r262, r263, r264) =AVERAGE(s255, s256, s257, s258, s259, s260, s261, s262, s263, s264) =AVERAGE(t255, t256, t257, t258, t259, t260, t261, t262, t263, t264) =STDEV.P(a255, a256, a257, a258, a259, a260, a261, a262, a263, a264) =STDEV.P(b255, b256, b257, b258, b259, b260, b261, b262, b263, b264) =STDEV.P(c255, c256, c257, c258, c259, c260, c261, c262, c263, c264) =STDEV.P(d255, d256, d257, d258, d259, d260, d261, d262, d263, d264) =STDEV.P(e255, e256, e257, e258, e259, e260, e261, e262, e263, e264) =STDEV.P(f255, f256, f257, f258, f259, f260, f261, f262, f263, f264) =STDEV.P(g255, g256, g257, g258, g259, g260, g261, g262, g263, g264) =STDEV.P(h255, h256, h257, h258, h259, h260, h261, h262, h263, h264) =STDEV.P(i255, i256, i257, i258, i259, i260, i261, i262, i263, i264) =STDEV.P(j255, j256, j257, j258, j259, j260, j261, j262, j263, j264) =STDEV.P(k255, k256, k257, k258, k259, k260, k261, k262, k263, k264) =STDEV.P(l255, l256, l257, l258, l259, l260, l261, l262, l263, l264) =STDEV.P(m255, m256, m257, m258, m259, m260, m261, m262, m263, m264) =STDEV.P(n255, n256, n257, n258, n259, n260, n261, n262, n263, n264) =STDEV.P(o255, o256, o257, o258, o259, o260, o261, o262, o263, o264) =STDEV.P(p255, p256, p257, p258, p259, p260, p261, p262, p263, p264) =STDEV.P(q255, q256, q257, q258, q259, q260, q261, q262, q263, q264) =STDEV.P(r255, r256, r257, r258, r259, r260, r261, r262, r263, r264) =STDEV.P(s255, s256, s257, s258, s259, s260, s261, s262, s263, s264) =STDEV.P(t255, t256, t257, t258, t259, t260, t261, t262, t263, t264) +=AVERAGE(a265, a266, a267, a268, a269, a270, a271, a272, a273, a274) =AVERAGE(b265, b266, b267, b268, b269, b270, b271, b272, b273, b274) =AVERAGE(c265, c266, c267, c268, c269, c270, c271, c272, c273, c274) =AVERAGE(d265, d266, d267, d268, d269, d270, d271, d272, d273, d274) =AVERAGE(e265, e266, e267, e268, e269, e270, e271, e272, e273, e274) =AVERAGE(f265, f266, f267, f268, f269, f270, f271, f272, f273, f274) =AVERAGE(g265, g266, g267, g268, g269, g270, g271, g272, g273, g274) =AVERAGE(h265, h266, h267, h268, h269, h270, h271, h272, h273, h274) =AVERAGE(i265, i266, i267, i268, i269, i270, i271, i272, i273, i274) =AVERAGE(j265, j266, j267, j268, j269, j270, j271, j272, j273, j274) =AVERAGE(k265, k266, k267, k268, k269, k270, k271, k272, k273, k274) =AVERAGE(l265, l266, l267, l268, l269, l270, l271, l272, l273, l274) =AVERAGE(m265, m266, m267, m268, m269, m270, m271, m272, m273, m274) =AVERAGE(n265, n266, n267, n268, n269, n270, n271, n272, n273, n274) =AVERAGE(o265, o266, o267, o268, o269, o270, o271, o272, o273, o274) =AVERAGE(p265, p266, p267, p268, p269, p270, p271, p272, p273, p274) =AVERAGE(q265, q266, q267, q268, q269, q270, q271, q272, q273, q274) =AVERAGE(r265, r266, r267, r268, r269, r270, r271, r272, r273, r274) =AVERAGE(s265, s266, s267, s268, s269, s270, s271, s272, s273, s274) =AVERAGE(t265, t266, t267, t268, t269, t270, t271, t272, t273, t274) =STDEV.P(a265, a266, a267, a268, a269, a270, a271, a272, a273, a274) =STDEV.P(b265, b266, b267, b268, b269, b270, b271, b272, b273, b274) =STDEV.P(c265, c266, c267, c268, c269, c270, c271, c272, c273, c274) =STDEV.P(d265, d266, d267, d268, d269, d270, d271, d272, d273, d274) =STDEV.P(e265, e266, e267, e268, e269, e270, e271, e272, e273, e274) =STDEV.P(f265, f266, f267, f268, f269, f270, f271, f272, f273, f274) =STDEV.P(g265, g266, g267, g268, g269, g270, g271, g272, g273, g274) =STDEV.P(h265, h266, h267, h268, h269, h270, h271, h272, h273, h274) =STDEV.P(i265, i266, i267, i268, i269, i270, i271, i272, i273, i274) =STDEV.P(j265, j266, j267, j268, j269, j270, j271, j272, j273, j274) =STDEV.P(k265, k266, k267, k268, k269, k270, k271, k272, k273, k274) =STDEV.P(l265, l266, l267, l268, l269, l270, l271, l272, l273, l274) =STDEV.P(m265, m266, m267, m268, m269, m270, m271, m272, m273, m274) =STDEV.P(n265, n266, n267, n268, n269, n270, n271, n272, n273, n274) =STDEV.P(o265, o266, o267, o268, o269, o270, o271, o272, o273, o274) =STDEV.P(p265, p266, p267, p268, p269, p270, p271, p272, p273, p274) =STDEV.P(q265, q266, q267, q268, q269, q270, q271, q272, q273, q274) =STDEV.P(r265, r266, r267, r268, r269, r270, r271, r272, r273, r274) =STDEV.P(s265, s266, s267, s268, s269, s270, s271, s272, s273, s274) =STDEV.P(t265, t266, t267, t268, t269, t270, t271, t272, t273, t274) +=AVERAGE(a275, a276, a277, a278, a279, a280, a281, a282, a283, a284) =AVERAGE(b275, b276, b277, b278, b279, b280, b281, b282, b283, b284) =AVERAGE(c275, c276, c277, c278, c279, c280, c281, c282, c283, c284) =AVERAGE(d275, d276, d277, d278, d279, d280, d281, d282, d283, d284) =AVERAGE(e275, e276, e277, e278, e279, e280, e281, e282, e283, e284) =AVERAGE(f275, f276, f277, f278, f279, f280, f281, f282, f283, f284) =AVERAGE(g275, g276, g277, g278, g279, g280, g281, g282, g283, g284) =AVERAGE(h275, h276, h277, h278, h279, h280, h281, h282, h283, h284) =AVERAGE(i275, i276, i277, i278, i279, i280, i281, i282, i283, i284) =AVERAGE(j275, j276, j277, j278, j279, j280, j281, j282, j283, j284) =AVERAGE(k275, k276, k277, k278, k279, k280, k281, k282, k283, k284) =AVERAGE(l275, l276, l277, l278, l279, l280, l281, l282, l283, l284) =AVERAGE(m275, m276, m277, m278, m279, m280, m281, m282, m283, m284) =AVERAGE(n275, n276, n277, n278, n279, n280, n281, n282, n283, n284) =AVERAGE(o275, o276, o277, o278, o279, o280, o281, o282, o283, o284) =AVERAGE(p275, p276, p277, p278, p279, p280, p281, p282, p283, p284) =AVERAGE(q275, q276, q277, q278, q279, q280, q281, q282, q283, q284) =AVERAGE(r275, r276, r277, r278, r279, r280, r281, r282, r283, r284) =AVERAGE(s275, s276, s277, s278, s279, s280, s281, s282, s283, s284) =AVERAGE(t275, t276, t277, t278, t279, t280, t281, t282, t283, t284) =STDEV.P(a275, a276, a277, a278, a279, a280, a281, a282, a283, a284) =STDEV.P(b275, b276, b277, b278, b279, b280, b281, b282, b283, b284) =STDEV.P(c275, c276, c277, c278, c279, c280, c281, c282, c283, c284) =STDEV.P(d275, d276, d277, d278, d279, d280, d281, d282, d283, d284) =STDEV.P(e275, e276, e277, e278, e279, e280, e281, e282, e283, e284) =STDEV.P(f275, f276, f277, f278, f279, f280, f281, f282, f283, f284) =STDEV.P(g275, g276, g277, g278, g279, g280, g281, g282, g283, g284) =STDEV.P(h275, h276, h277, h278, h279, h280, h281, h282, h283, h284) =STDEV.P(i275, i276, i277, i278, i279, i280, i281, i282, i283, i284) =STDEV.P(j275, j276, j277, j278, j279, j280, j281, j282, j283, j284) =STDEV.P(k275, k276, k277, k278, k279, k280, k281, k282, k283, k284) =STDEV.P(l275, l276, l277, l278, l279, l280, l281, l282, l283, l284) =STDEV.P(m275, m276, m277, m278, m279, m280, m281, m282, m283, m284) =STDEV.P(n275, n276, n277, n278, n279, n280, n281, n282, n283, n284) =STDEV.P(o275, o276, o277, o278, o279, o280, o281, o282, o283, o284) =STDEV.P(p275, p276, p277, p278, p279, p280, p281, p282, p283, p284) =STDEV.P(q275, q276, q277, q278, q279, q280, q281, q282, q283, q284) =STDEV.P(r275, r276, r277, r278, r279, r280, r281, r282, r283, r284) =STDEV.P(s275, s276, s277, s278, s279, s280, s281, s282, s283, s284) =STDEV.P(t275, t276, t277, t278, t279, t280, t281, t282, t283, t284) +=AVERAGE(a285, a286, a287, a288, a289, a290, a291, a292, a293, a294) =AVERAGE(b285, b286, b287, b288, b289, b290, b291, b292, b293, b294) =AVERAGE(c285, c286, c287, c288, c289, c290, c291, c292, c293, c294) =AVERAGE(d285, d286, d287, d288, d289, d290, d291, d292, d293, d294) =AVERAGE(e285, e286, e287, e288, e289, e290, e291, e292, e293, e294) =AVERAGE(f285, f286, f287, f288, f289, f290, f291, f292, f293, f294) =AVERAGE(g285, g286, g287, g288, g289, g290, g291, g292, g293, g294) =AVERAGE(h285, h286, h287, h288, h289, h290, h291, h292, h293, h294) =AVERAGE(i285, i286, i287, i288, i289, i290, i291, i292, i293, i294) =AVERAGE(j285, j286, j287, j288, j289, j290, j291, j292, j293, j294) =AVERAGE(k285, k286, k287, k288, k289, k290, k291, k292, k293, k294) =AVERAGE(l285, l286, l287, l288, l289, l290, l291, l292, l293, l294) =AVERAGE(m285, m286, m287, m288, m289, m290, m291, m292, m293, m294) =AVERAGE(n285, n286, n287, n288, n289, n290, n291, n292, n293, n294) =AVERAGE(o285, o286, o287, o288, o289, o290, o291, o292, o293, o294) =AVERAGE(p285, p286, p287, p288, p289, p290, p291, p292, p293, p294) =AVERAGE(q285, q286, q287, q288, q289, q290, q291, q292, q293, q294) =AVERAGE(r285, r286, r287, r288, r289, r290, r291, r292, r293, r294) =AVERAGE(s285, s286, s287, s288, s289, s290, s291, s292, s293, s294) =AVERAGE(t285, t286, t287, t288, t289, t290, t291, t292, t293, t294) =STDEV.P(a285, a286, a287, a288, a289, a290, a291, a292, a293, a294) =STDEV.P(b285, b286, b287, b288, b289, b290, b291, b292, b293, b294) =STDEV.P(c285, c286, c287, c288, c289, c290, c291, c292, c293, c294) =STDEV.P(d285, d286, d287, d288, d289, d290, d291, d292, d293, d294) =STDEV.P(e285, e286, e287, e288, e289, e290, e291, e292, e293, e294) =STDEV.P(f285, f286, f287, f288, f289, f290, f291, f292, f293, f294) =STDEV.P(g285, g286, g287, g288, g289, g290, g291, g292, g293, g294) =STDEV.P(h285, h286, h287, h288, h289, h290, h291, h292, h293, h294) =STDEV.P(i285, i286, i287, i288, i289, i290, i291, i292, i293, i294) =STDEV.P(j285, j286, j287, j288, j289, j290, j291, j292, j293, j294) =STDEV.P(k285, k286, k287, k288, k289, k290, k291, k292, k293, k294) =STDEV.P(l285, l286, l287, l288, l289, l290, l291, l292, l293, l294) =STDEV.P(m285, m286, m287, m288, m289, m290, m291, m292, m293, m294) =STDEV.P(n285, n286, n287, n288, n289, n290, n291, n292, n293, n294) =STDEV.P(o285, o286, o287, o288, o289, o290, o291, o292, o293, o294) =STDEV.P(p285, p286, p287, p288, p289, p290, p291, p292, p293, p294) =STDEV.P(q285, q286, q287, q288, q289, q290, q291, q292, q293, q294) =STDEV.P(r285, r286, r287, r288, r289, r290, r291, r292, r293, r294) =STDEV.P(s285, s286, s287, s288, s289, s290, s291, s292, s293, s294) =STDEV.P(t285, t286, t287, t288, t289, t290, t291, t292, t293, t294) +=AVERAGE(a295, a296, a297, a298, a299, a300, a301, a302, a303, a304) =AVERAGE(b295, b296, b297, b298, b299, b300, b301, b302, b303, b304) =AVERAGE(c295, c296, c297, c298, c299, c300, c301, c302, c303, c304) =AVERAGE(d295, d296, d297, d298, d299, d300, d301, d302, d303, d304) =AVERAGE(e295, e296, e297, e298, e299, e300, e301, e302, e303, e304) =AVERAGE(f295, f296, f297, f298, f299, f300, f301, f302, f303, f304) =AVERAGE(g295, g296, g297, g298, g299, g300, g301, g302, g303, g304) =AVERAGE(h295, h296, h297, h298, h299, h300, h301, h302, h303, h304) =AVERAGE(i295, i296, i297, i298, i299, i300, i301, i302, i303, i304) =AVERAGE(j295, j296, j297, j298, j299, j300, j301, j302, j303, j304) =AVERAGE(k295, k296, k297, k298, k299, k300, k301, k302, k303, k304) =AVERAGE(l295, l296, l297, l298, l299, l300, l301, l302, l303, l304) =AVERAGE(m295, m296, m297, m298, m299, m300, m301, m302, m303, m304) =AVERAGE(n295, n296, n297, n298, n299, n300, n301, n302, n303, n304) =AVERAGE(o295, o296, o297, o298, o299, o300, o301, o302, o303, o304) =AVERAGE(p295, p296, p297, p298, p299, p300, p301, p302, p303, p304) =AVERAGE(q295, q296, q297, q298, q299, q300, q301, q302, q303, q304) =AVERAGE(r295, r296, r297, r298, r299, r300, r301, r302, r303, r304) =AVERAGE(s295, s296, s297, s298, s299, s300, s301, s302, s303, s304) =AVERAGE(t295, t296, t297, t298, t299, t300, t301, t302, t303, t304) =STDEV.P(a295, a296, a297, a298, a299, a300, a301, a302, a303, a304) =STDEV.P(b295, b296, b297, b298, b299, b300, b301, b302, b303, b304) =STDEV.P(c295, c296, c297, c298, c299, c300, c301, c302, c303, c304) =STDEV.P(d295, d296, d297, d298, d299, d300, d301, d302, d303, d304) =STDEV.P(e295, e296, e297, e298, e299, e300, e301, e302, e303, e304) =STDEV.P(f295, f296, f297, f298, f299, f300, f301, f302, f303, f304) =STDEV.P(g295, g296, g297, g298, g299, g300, g301, g302, g303, g304) =STDEV.P(h295, h296, h297, h298, h299, h300, h301, h302, h303, h304) =STDEV.P(i295, i296, i297, i298, i299, i300, i301, i302, i303, i304) =STDEV.P(j295, j296, j297, j298, j299, j300, j301, j302, j303, j304) =STDEV.P(k295, k296, k297, k298, k299, k300, k301, k302, k303, k304) =STDEV.P(l295, l296, l297, l298, l299, l300, l301, l302, l303, l304) =STDEV.P(m295, m296, m297, m298, m299, m300, m301, m302, m303, m304) =STDEV.P(n295, n296, n297, n298, n299, n300, n301, n302, n303, n304) =STDEV.P(o295, o296, o297, o298, o299, o300, o301, o302, o303, o304) =STDEV.P(p295, p296, p297, p298, p299, p300, p301, p302, p303, p304) =STDEV.P(q295, q296, q297, q298, q299, q300, q301, q302, q303, q304) =STDEV.P(r295, r296, r297, r298, r299, r300, r301, r302, r303, r304) =STDEV.P(s295, s296, s297, s298, s299, s300, s301, s302, s303, s304) =STDEV.P(t295, t296, t297, t298, t299, t300, t301, t302, t303, t304) +=AVERAGE(a305, a306, a307, a308, a309, a310, a311, a312, a313, a314) =AVERAGE(b305, b306, b307, b308, b309, b310, b311, b312, b313, b314) =AVERAGE(c305, c306, c307, c308, c309, c310, c311, c312, c313, c314) =AVERAGE(d305, d306, d307, d308, d309, d310, d311, d312, d313, d314) =AVERAGE(e305, e306, e307, e308, e309, e310, e311, e312, e313, e314) =AVERAGE(f305, f306, f307, f308, f309, f310, f311, f312, f313, f314) =AVERAGE(g305, g306, g307, g308, g309, g310, g311, g312, g313, g314) =AVERAGE(h305, h306, h307, h308, h309, h310, h311, h312, h313, h314) =AVERAGE(i305, i306, i307, i308, i309, i310, i311, i312, i313, i314) =AVERAGE(j305, j306, j307, j308, j309, j310, j311, j312, j313, j314) =AVERAGE(k305, k306, k307, k308, k309, k310, k311, k312, k313, k314) =AVERAGE(l305, l306, l307, l308, l309, l310, l311, l312, l313, l314) =AVERAGE(m305, m306, m307, m308, m309, m310, m311, m312, m313, m314) =AVERAGE(n305, n306, n307, n308, n309, n310, n311, n312, n313, n314) =AVERAGE(o305, o306, o307, o308, o309, o310, o311, o312, o313, o314) =AVERAGE(p305, p306, p307, p308, p309, p310, p311, p312, p313, p314) =AVERAGE(q305, q306, q307, q308, q309, q310, q311, q312, q313, q314) =AVERAGE(r305, r306, r307, r308, r309, r310, r311, r312, r313, r314) =AVERAGE(s305, s306, s307, s308, s309, s310, s311, s312, s313, s314) =AVERAGE(t305, t306, t307, t308, t309, t310, t311, t312, t313, t314) =STDEV.P(a305, a306, a307, a308, a309, a310, a311, a312, a313, a314) =STDEV.P(b305, b306, b307, b308, b309, b310, b311, b312, b313, b314) =STDEV.P(c305, c306, c307, c308, c309, c310, c311, c312, c313, c314) =STDEV.P(d305, d306, d307, d308, d309, d310, d311, d312, d313, d314) =STDEV.P(e305, e306, e307, e308, e309, e310, e311, e312, e313, e314) =STDEV.P(f305, f306, f307, f308, f309, f310, f311, f312, f313, f314) =STDEV.P(g305, g306, g307, g308, g309, g310, g311, g312, g313, g314) =STDEV.P(h305, h306, h307, h308, h309, h310, h311, h312, h313, h314) =STDEV.P(i305, i306, i307, i308, i309, i310, i311, i312, i313, i314) =STDEV.P(j305, j306, j307, j308, j309, j310, j311, j312, j313, j314) =STDEV.P(k305, k306, k307, k308, k309, k310, k311, k312, k313, k314) =STDEV.P(l305, l306, l307, l308, l309, l310, l311, l312, l313, l314) =STDEV.P(m305, m306, m307, m308, m309, m310, m311, m312, m313, m314) =STDEV.P(n305, n306, n307, n308, n309, n310, n311, n312, n313, n314) =STDEV.P(o305, o306, o307, o308, o309, o310, o311, o312, o313, o314) =STDEV.P(p305, p306, p307, p308, p309, p310, p311, p312, p313, p314) =STDEV.P(q305, q306, q307, q308, q309, q310, q311, q312, q313, q314) =STDEV.P(r305, r306, r307, r308, r309, r310, r311, r312, r313, r314) =STDEV.P(s305, s306, s307, s308, s309, s310, s311, s312, s313, s314) =STDEV.P(t305, t306, t307, t308, t309, t310, t311, t312, t313, t314) +=AVERAGE(a315, a316, a317, a318, a319, a320, a321, a322, a323, a324) =AVERAGE(b315, b316, b317, b318, b319, b320, b321, b322, b323, b324) =AVERAGE(c315, c316, c317, c318, c319, c320, c321, c322, c323, c324) =AVERAGE(d315, d316, d317, d318, d319, d320, d321, d322, d323, d324) =AVERAGE(e315, e316, e317, e318, e319, e320, e321, e322, e323, e324) =AVERAGE(f315, f316, f317, f318, f319, f320, f321, f322, f323, f324) =AVERAGE(g315, g316, g317, g318, g319, g320, g321, g322, g323, g324) =AVERAGE(h315, h316, h317, h318, h319, h320, h321, h322, h323, h324) =AVERAGE(i315, i316, i317, i318, i319, i320, i321, i322, i323, i324) =AVERAGE(j315, j316, j317, j318, j319, j320, j321, j322, j323, j324) =AVERAGE(k315, k316, k317, k318, k319, k320, k321, k322, k323, k324) =AVERAGE(l315, l316, l317, l318, l319, l320, l321, l322, l323, l324) =AVERAGE(m315, m316, m317, m318, m319, m320, m321, m322, m323, m324) =AVERAGE(n315, n316, n317, n318, n319, n320, n321, n322, n323, n324) =AVERAGE(o315, o316, o317, o318, o319, o320, o321, o322, o323, o324) =AVERAGE(p315, p316, p317, p318, p319, p320, p321, p322, p323, p324) =AVERAGE(q315, q316, q317, q318, q319, q320, q321, q322, q323, q324) =AVERAGE(r315, r316, r317, r318, r319, r320, r321, r322, r323, r324) =AVERAGE(s315, s316, s317, s318, s319, s320, s321, s322, s323, s324) =AVERAGE(t315, t316, t317, t318, t319, t320, t321, t322, t323, t324) =STDEV.P(a315, a316, a317, a318, a319, a320, a321, a322, a323, a324) =STDEV.P(b315, b316, b317, b318, b319, b320, b321, b322, b323, b324) =STDEV.P(c315, c316, c317, c318, c319, c320, c321, c322, c323, c324) =STDEV.P(d315, d316, d317, d318, d319, d320, d321, d322, d323, d324) =STDEV.P(e315, e316, e317, e318, e319, e320, e321, e322, e323, e324) =STDEV.P(f315, f316, f317, f318, f319, f320, f321, f322, f323, f324) =STDEV.P(g315, g316, g317, g318, g319, g320, g321, g322, g323, g324) =STDEV.P(h315, h316, h317, h318, h319, h320, h321, h322, h323, h324) =STDEV.P(i315, i316, i317, i318, i319, i320, i321, i322, i323, i324) =STDEV.P(j315, j316, j317, j318, j319, j320, j321, j322, j323, j324) =STDEV.P(k315, k316, k317, k318, k319, k320, k321, k322, k323, k324) =STDEV.P(l315, l316, l317, l318, l319, l320, l321, l322, l323, l324) =STDEV.P(m315, m316, m317, m318, m319, m320, m321, m322, m323, m324) =STDEV.P(n315, n316, n317, n318, n319, n320, n321, n322, n323, n324) =STDEV.P(o315, o316, o317, o318, o319, o320, o321, o322, o323, o324) =STDEV.P(p315, p316, p317, p318, p319, p320, p321, p322, p323, p324) =STDEV.P(q315, q316, q317, q318, q319, q320, q321, q322, q323, q324) =STDEV.P(r315, r316, r317, r318, r319, r320, r321, r322, r323, r324) =STDEV.P(s315, s316, s317, s318, s319, s320, s321, s322, s323, s324) =STDEV.P(t315, t316, t317, t318, t319, t320, t321, t322, t323, t324) +=AVERAGE(a325, a326, a327, a328, a329, a330, a331, a332, a333, a334) =AVERAGE(b325, b326, b327, b328, b329, b330, b331, b332, b333, b334) =AVERAGE(c325, c326, c327, c328, c329, c330, c331, c332, c333, c334) =AVERAGE(d325, d326, d327, d328, d329, d330, d331, d332, d333, d334) =AVERAGE(e325, e326, e327, e328, e329, e330, e331, e332, e333, e334) =AVERAGE(f325, f326, f327, f328, f329, f330, f331, f332, f333, f334) =AVERAGE(g325, g326, g327, g328, g329, g330, g331, g332, g333, g334) =AVERAGE(h325, h326, h327, h328, h329, h330, h331, h332, h333, h334) =AVERAGE(i325, i326, i327, i328, i329, i330, i331, i332, i333, i334) =AVERAGE(j325, j326, j327, j328, j329, j330, j331, j332, j333, j334) =AVERAGE(k325, k326, k327, k328, k329, k330, k331, k332, k333, k334) =AVERAGE(l325, l326, l327, l328, l329, l330, l331, l332, l333, l334) =AVERAGE(m325, m326, m327, m328, m329, m330, m331, m332, m333, m334) =AVERAGE(n325, n326, n327, n328, n329, n330, n331, n332, n333, n334) =AVERAGE(o325, o326, o327, o328, o329, o330, o331, o332, o333, o334) =AVERAGE(p325, p326, p327, p328, p329, p330, p331, p332, p333, p334) =AVERAGE(q325, q326, q327, q328, q329, q330, q331, q332, q333, q334) =AVERAGE(r325, r326, r327, r328, r329, r330, r331, r332, r333, r334) =AVERAGE(s325, s326, s327, s328, s329, s330, s331, s332, s333, s334) =AVERAGE(t325, t326, t327, t328, t329, t330, t331, t332, t333, t334) =STDEV.P(a325, a326, a327, a328, a329, a330, a331, a332, a333, a334) =STDEV.P(b325, b326, b327, b328, b329, b330, b331, b332, b333, b334) =STDEV.P(c325, c326, c327, c328, c329, c330, c331, c332, c333, c334) =STDEV.P(d325, d326, d327, d328, d329, d330, d331, d332, d333, d334) =STDEV.P(e325, e326, e327, e328, e329, e330, e331, e332, e333, e334) =STDEV.P(f325, f326, f327, f328, f329, f330, f331, f332, f333, f334) =STDEV.P(g325, g326, g327, g328, g329, g330, g331, g332, g333, g334) =STDEV.P(h325, h326, h327, h328, h329, h330, h331, h332, h333, h334) =STDEV.P(i325, i326, i327, i328, i329, i330, i331, i332, i333, i334) =STDEV.P(j325, j326, j327, j328, j329, j330, j331, j332, j333, j334) =STDEV.P(k325, k326, k327, k328, k329, k330, k331, k332, k333, k334) =STDEV.P(l325, l326, l327, l328, l329, l330, l331, l332, l333, l334) =STDEV.P(m325, m326, m327, m328, m329, m330, m331, m332, m333, m334) =STDEV.P(n325, n326, n327, n328, n329, n330, n331, n332, n333, n334) =STDEV.P(o325, o326, o327, o328, o329, o330, o331, o332, o333, o334) =STDEV.P(p325, p326, p327, p328, p329, p330, p331, p332, p333, p334) =STDEV.P(q325, q326, q327, q328, q329, q330, q331, q332, q333, q334) =STDEV.P(r325, r326, r327, r328, r329, r330, r331, r332, r333, r334) =STDEV.P(s325, s326, s327, s328, s329, s330, s331, s332, s333, s334) =STDEV.P(t325, t326, t327, t328, t329, t330, t331, t332, t333, t334) +=AVERAGE(a335, a336, a337, a338, a339, a340, a341, a342, a343, a344) =AVERAGE(b335, b336, b337, b338, b339, b340, b341, b342, b343, b344) =AVERAGE(c335, c336, c337, c338, c339, c340, c341, c342, c343, c344) =AVERAGE(d335, d336, d337, d338, d339, d340, d341, d342, d343, d344) =AVERAGE(e335, e336, e337, e338, e339, e340, e341, e342, e343, e344) =AVERAGE(f335, f336, f337, f338, f339, f340, f341, f342, f343, f344) =AVERAGE(g335, g336, g337, g338, g339, g340, g341, g342, g343, g344) =AVERAGE(h335, h336, h337, h338, h339, h340, h341, h342, h343, h344) =AVERAGE(i335, i336, i337, i338, i339, i340, i341, i342, i343, i344) =AVERAGE(j335, j336, j337, j338, j339, j340, j341, j342, j343, j344) =AVERAGE(k335, k336, k337, k338, k339, k340, k341, k342, k343, k344) =AVERAGE(l335, l336, l337, l338, l339, l340, l341, l342, l343, l344) =AVERAGE(m335, m336, m337, m338, m339, m340, m341, m342, m343, m344) =AVERAGE(n335, n336, n337, n338, n339, n340, n341, n342, n343, n344) =AVERAGE(o335, o336, o337, o338, o339, o340, o341, o342, o343, o344) =AVERAGE(p335, p336, p337, p338, p339, p340, p341, p342, p343, p344) =AVERAGE(q335, q336, q337, q338, q339, q340, q341, q342, q343, q344) =AVERAGE(r335, r336, r337, r338, r339, r340, r341, r342, r343, r344) =AVERAGE(s335, s336, s337, s338, s339, s340, s341, s342, s343, s344) =AVERAGE(t335, t336, t337, t338, t339, t340, t341, t342, t343, t344) =STDEV.P(a335, a336, a337, a338, a339, a340, a341, a342, a343, a344) =STDEV.P(b335, b336, b337, b338, b339, b340, b341, b342, b343, b344) =STDEV.P(c335, c336, c337, c338, c339, c340, c341, c342, c343, c344) =STDEV.P(d335, d336, d337, d338, d339, d340, d341, d342, d343, d344) =STDEV.P(e335, e336, e337, e338, e339, e340, e341, e342, e343, e344) =STDEV.P(f335, f336, f337, f338, f339, f340, f341, f342, f343, f344) =STDEV.P(g335, g336, g337, g338, g339, g340, g341, g342, g343, g344) =STDEV.P(h335, h336, h337, h338, h339, h340, h341, h342, h343, h344) =STDEV.P(i335, i336, i337, i338, i339, i340, i341, i342, i343, i344) =STDEV.P(j335, j336, j337, j338, j339, j340, j341, j342, j343, j344) =STDEV.P(k335, k336, k337, k338, k339, k340, k341, k342, k343, k344) =STDEV.P(l335, l336, l337, l338, l339, l340, l341, l342, l343, l344) =STDEV.P(m335, m336, m337, m338, m339, m340, m341, m342, m343, m344) =STDEV.P(n335, n336, n337, n338, n339, n340, n341, n342, n343, n344) =STDEV.P(o335, o336, o337, o338, o339, o340, o341, o342, o343, o344) =STDEV.P(p335, p336, p337, p338, p339, p340, p341, p342, p343, p344) =STDEV.P(q335, q336, q337, q338, q339, q340, q341, q342, q343, q344) =STDEV.P(r335, r336, r337, r338, r339, r340, r341, r342, r343, r344) =STDEV.P(s335, s336, s337, s338, s339, s340, s341, s342, s343, s344) =STDEV.P(t335, t336, t337, t338, t339, t340, t341, t342, t343, t344) +=AVERAGE(a345, a346, a347, a348, a349, a350, a351, a352, a353, a354) =AVERAGE(b345, b346, b347, b348, b349, b350, b351, b352, b353, b354) =AVERAGE(c345, c346, c347, c348, c349, c350, c351, c352, c353, c354) =AVERAGE(d345, d346, d347, d348, d349, d350, d351, d352, d353, d354) =AVERAGE(e345, e346, e347, e348, e349, e350, e351, e352, e353, e354) =AVERAGE(f345, f346, f347, f348, f349, f350, f351, f352, f353, f354) =AVERAGE(g345, g346, g347, g348, g349, g350, g351, g352, g353, g354) =AVERAGE(h345, h346, h347, h348, h349, h350, h351, h352, h353, h354) =AVERAGE(i345, i346, i347, i348, i349, i350, i351, i352, i353, i354) =AVERAGE(j345, j346, j347, j348, j349, j350, j351, j352, j353, j354) =AVERAGE(k345, k346, k347, k348, k349, k350, k351, k352, k353, k354) =AVERAGE(l345, l346, l347, l348, l349, l350, l351, l352, l353, l354) =AVERAGE(m345, m346, m347, m348, m349, m350, m351, m352, m353, m354) =AVERAGE(n345, n346, n347, n348, n349, n350, n351, n352, n353, n354) =AVERAGE(o345, o346, o347, o348, o349, o350, o351, o352, o353, o354) =AVERAGE(p345, p346, p347, p348, p349, p350, p351, p352, p353, p354) =AVERAGE(q345, q346, q347, q348, q349, q350, q351, q352, q353, q354) =AVERAGE(r345, r346, r347, r348, r349, r350, r351, r352, r353, r354) =AVERAGE(s345, s346, s347, s348, s349, s350, s351, s352, s353, s354) =AVERAGE(t345, t346, t347, t348, t349, t350, t351, t352, t353, t354) =STDEV.P(a345, a346, a347, a348, a349, a350, a351, a352, a353, a354) =STDEV.P(b345, b346, b347, b348, b349, b350, b351, b352, b353, b354) =STDEV.P(c345, c346, c347, c348, c349, c350, c351, c352, c353, c354) =STDEV.P(d345, d346, d347, d348, d349, d350, d351, d352, d353, d354) =STDEV.P(e345, e346, e347, e348, e349, e350, e351, e352, e353, e354) =STDEV.P(f345, f346, f347, f348, f349, f350, f351, f352, f353, f354) =STDEV.P(g345, g346, g347, g348, g349, g350, g351, g352, g353, g354) =STDEV.P(h345, h346, h347, h348, h349, h350, h351, h352, h353, h354) =STDEV.P(i345, i346, i347, i348, i349, i350, i351, i352, i353, i354) =STDEV.P(j345, j346, j347, j348, j349, j350, j351, j352, j353, j354) =STDEV.P(k345, k346, k347, k348, k349, k350, k351, k352, k353, k354) =STDEV.P(l345, l346, l347, l348, l349, l350, l351, l352, l353, l354) =STDEV.P(m345, m346, m347, m348, m349, m350, m351, m352, m353, m354) =STDEV.P(n345, n346, n347, n348, n349, n350, n351, n352, n353, n354) =STDEV.P(o345, o346, o347, o348, o349, o350, o351, o352, o353, o354) =STDEV.P(p345, p346, p347, p348, p349, p350, p351, p352, p353, p354) =STDEV.P(q345, q346, q347, q348, q349, q350, q351, q352, q353, q354) =STDEV.P(r345, r346, r347, r348, r349, r350, r351, r352, r353, r354) =STDEV.P(s345, s346, s347, s348, s349, s350, s351, s352, s353, s354) =STDEV.P(t345, t346, t347, t348, t349, t350, t351, t352, t353, t354) +=AVERAGE(a355, a356, a357, a358, a359, a360, a361, a362, a363, a364) =AVERAGE(b355, b356, b357, b358, b359, b360, b361, b362, b363, b364) =AVERAGE(c355, c356, c357, c358, c359, c360, c361, c362, c363, c364) =AVERAGE(d355, d356, d357, d358, d359, d360, d361, d362, d363, d364) =AVERAGE(e355, e356, e357, e358, e359, e360, e361, e362, e363, e364) =AVERAGE(f355, f356, f357, f358, f359, f360, f361, f362, f363, f364) =AVERAGE(g355, g356, g357, g358, g359, g360, g361, g362, g363, g364) =AVERAGE(h355, h356, h357, h358, h359, h360, h361, h362, h363, h364) =AVERAGE(i355, i356, i357, i358, i359, i360, i361, i362, i363, i364) =AVERAGE(j355, j356, j357, j358, j359, j360, j361, j362, j363, j364) =AVERAGE(k355, k356, k357, k358, k359, k360, k361, k362, k363, k364) =AVERAGE(l355, l356, l357, l358, l359, l360, l361, l362, l363, l364) =AVERAGE(m355, m356, m357, m358, m359, m360, m361, m362, m363, m364) =AVERAGE(n355, n356, n357, n358, n359, n360, n361, n362, n363, n364) =AVERAGE(o355, o356, o357, o358, o359, o360, o361, o362, o363, o364) =AVERAGE(p355, p356, p357, p358, p359, p360, p361, p362, p363, p364) =AVERAGE(q355, q356, q357, q358, q359, q360, q361, q362, q363, q364) =AVERAGE(r355, r356, r357, r358, r359, r360, r361, r362, r363, r364) =AVERAGE(s355, s356, s357, s358, s359, s360, s361, s362, s363, s364) =AVERAGE(t355, t356, t357, t358, t359, t360, t361, t362, t363, t364) =STDEV.P(a355, a356, a357, a358, a359, a360, a361, a362, a363, a364) =STDEV.P(b355, b356, b357, b358, b359, b360, b361, b362, b363, b364) =STDEV.P(c355, c356, c357, c358, c359, c360, c361, c362, c363, c364) =STDEV.P(d355, d356, d357, d358, d359, d360, d361, d362, d363, d364) =STDEV.P(e355, e356, e357, e358, e359, e360, e361, e362, e363, e364) =STDEV.P(f355, f356, f357, f358, f359, f360, f361, f362, f363, f364) =STDEV.P(g355, g356, g357, g358, g359, g360, g361, g362, g363, g364) =STDEV.P(h355, h356, h357, h358, h359, h360, h361, h362, h363, h364) =STDEV.P(i355, i356, i357, i358, i359, i360, i361, i362, i363, i364) =STDEV.P(j355, j356, j357, j358, j359, j360, j361, j362, j363, j364) =STDEV.P(k355, k356, k357, k358, k359, k360, k361, k362, k363, k364) =STDEV.P(l355, l356, l357, l358, l359, l360, l361, l362, l363, l364) =STDEV.P(m355, m356, m357, m358, m359, m360, m361, m362, m363, m364) =STDEV.P(n355, n356, n357, n358, n359, n360, n361, n362, n363, n364) =STDEV.P(o355, o356, o357, o358, o359, o360, o361, o362, o363, o364) =STDEV.P(p355, p356, p357, p358, p359, p360, p361, p362, p363, p364) =STDEV.P(q355, q356, q357, q358, q359, q360, q361, q362, q363, q364) =STDEV.P(r355, r356, r357, r358, r359, r360, r361, r362, r363, r364) =STDEV.P(s355, s356, s357, s358, s359, s360, s361, s362, s363, s364) =STDEV.P(t355, t356, t357, t358, t359, t360, t361, t362, t363, t364) +=AVERAGE(a365, a366, a367, a368, a369, a370, a371, a372, a373, a374) =AVERAGE(b365, b366, b367, b368, b369, b370, b371, b372, b373, b374) =AVERAGE(c365, c366, c367, c368, c369, c370, c371, c372, c373, c374) =AVERAGE(d365, d366, d367, d368, d369, d370, d371, d372, d373, d374) =AVERAGE(e365, e366, e367, e368, e369, e370, e371, e372, e373, e374) =AVERAGE(f365, f366, f367, f368, f369, f370, f371, f372, f373, f374) =AVERAGE(g365, g366, g367, g368, g369, g370, g371, g372, g373, g374) =AVERAGE(h365, h366, h367, h368, h369, h370, h371, h372, h373, h374) =AVERAGE(i365, i366, i367, i368, i369, i370, i371, i372, i373, i374) =AVERAGE(j365, j366, j367, j368, j369, j370, j371, j372, j373, j374) =AVERAGE(k365, k366, k367, k368, k369, k370, k371, k372, k373, k374) =AVERAGE(l365, l366, l367, l368, l369, l370, l371, l372, l373, l374) =AVERAGE(m365, m366, m367, m368, m369, m370, m371, m372, m373, m374) =AVERAGE(n365, n366, n367, n368, n369, n370, n371, n372, n373, n374) =AVERAGE(o365, o366, o367, o368, o369, o370, o371, o372, o373, o374) =AVERAGE(p365, p366, p367, p368, p369, p370, p371, p372, p373, p374) =AVERAGE(q365, q366, q367, q368, q369, q370, q371, q372, q373, q374) =AVERAGE(r365, r366, r367, r368, r369, r370, r371, r372, r373, r374) =AVERAGE(s365, s366, s367, s368, s369, s370, s371, s372, s373, s374) =AVERAGE(t365, t366, t367, t368, t369, t370, t371, t372, t373, t374) =STDEV.P(a365, a366, a367, a368, a369, a370, a371, a372, a373, a374) =STDEV.P(b365, b366, b367, b368, b369, b370, b371, b372, b373, b374) =STDEV.P(c365, c366, c367, c368, c369, c370, c371, c372, c373, c374) =STDEV.P(d365, d366, d367, d368, d369, d370, d371, d372, d373, d374) =STDEV.P(e365, e366, e367, e368, e369, e370, e371, e372, e373, e374) =STDEV.P(f365, f366, f367, f368, f369, f370, f371, f372, f373, f374) =STDEV.P(g365, g366, g367, g368, g369, g370, g371, g372, g373, g374) =STDEV.P(h365, h366, h367, h368, h369, h370, h371, h372, h373, h374) =STDEV.P(i365, i366, i367, i368, i369, i370, i371, i372, i373, i374) =STDEV.P(j365, j366, j367, j368, j369, j370, j371, j372, j373, j374) =STDEV.P(k365, k366, k367, k368, k369, k370, k371, k372, k373, k374) =STDEV.P(l365, l366, l367, l368, l369, l370, l371, l372, l373, l374) =STDEV.P(m365, m366, m367, m368, m369, m370, m371, m372, m373, m374) =STDEV.P(n365, n366, n367, n368, n369, n370, n371, n372, n373, n374) =STDEV.P(o365, o366, o367, o368, o369, o370, o371, o372, o373, o374) =STDEV.P(p365, p366, p367, p368, p369, p370, p371, p372, p373, p374) =STDEV.P(q365, q366, q367, q368, q369, q370, q371, q372, q373, q374) =STDEV.P(r365, r366, r367, r368, r369, r370, r371, r372, r373, r374) =STDEV.P(s365, s366, s367, s368, s369, s370, s371, s372, s373, s374) =STDEV.P(t365, t366, t367, t368, t369, t370, t371, t372, t373, t374) +=AVERAGE(a375, a376, a377, a378, a379, a380, a381, a382, a383, a384) =AVERAGE(b375, b376, b377, b378, b379, b380, b381, b382, b383, b384) =AVERAGE(c375, c376, c377, c378, c379, c380, c381, c382, c383, c384) =AVERAGE(d375, d376, d377, d378, d379, d380, d381, d382, d383, d384) =AVERAGE(e375, e376, e377, e378, e379, e380, e381, e382, e383, e384) =AVERAGE(f375, f376, f377, f378, f379, f380, f381, f382, f383, f384) =AVERAGE(g375, g376, g377, g378, g379, g380, g381, g382, g383, g384) =AVERAGE(h375, h376, h377, h378, h379, h380, h381, h382, h383, h384) =AVERAGE(i375, i376, i377, i378, i379, i380, i381, i382, i383, i384) =AVERAGE(j375, j376, j377, j378, j379, j380, j381, j382, j383, j384) =AVERAGE(k375, k376, k377, k378, k379, k380, k381, k382, k383, k384) =AVERAGE(l375, l376, l377, l378, l379, l380, l381, l382, l383, l384) =AVERAGE(m375, m376, m377, m378, m379, m380, m381, m382, m383, m384) =AVERAGE(n375, n376, n377, n378, n379, n380, n381, n382, n383, n384) =AVERAGE(o375, o376, o377, o378, o379, o380, o381, o382, o383, o384) =AVERAGE(p375, p376, p377, p378, p379, p380, p381, p382, p383, p384) =AVERAGE(q375, q376, q377, q378, q379, q380, q381, q382, q383, q384) =AVERAGE(r375, r376, r377, r378, r379, r380, r381, r382, r383, r384) =AVERAGE(s375, s376, s377, s378, s379, s380, s381, s382, s383, s384) =AVERAGE(t375, t376, t377, t378, t379, t380, t381, t382, t383, t384) =STDEV.P(a375, a376, a377, a378, a379, a380, a381, a382, a383, a384) =STDEV.P(b375, b376, b377, b378, b379, b380, b381, b382, b383, b384) =STDEV.P(c375, c376, c377, c378, c379, c380, c381, c382, c383, c384) =STDEV.P(d375, d376, d377, d378, d379, d380, d381, d382, d383, d384) =STDEV.P(e375, e376, e377, e378, e379, e380, e381, e382, e383, e384) =STDEV.P(f375, f376, f377, f378, f379, f380, f381, f382, f383, f384) =STDEV.P(g375, g376, g377, g378, g379, g380, g381, g382, g383, g384) =STDEV.P(h375, h376, h377, h378, h379, h380, h381, h382, h383, h384) =STDEV.P(i375, i376, i377, i378, i379, i380, i381, i382, i383, i384) =STDEV.P(j375, j376, j377, j378, j379, j380, j381, j382, j383, j384) =STDEV.P(k375, k376, k377, k378, k379, k380, k381, k382, k383, k384) =STDEV.P(l375, l376, l377, l378, l379, l380, l381, l382, l383, l384) =STDEV.P(m375, m376, m377, m378, m379, m380, m381, m382, m383, m384) =STDEV.P(n375, n376, n377, n378, n379, n380, n381, n382, n383, n384) =STDEV.P(o375, o376, o377, o378, o379, o380, o381, o382, o383, o384) =STDEV.P(p375, p376, p377, p378, p379, p380, p381, p382, p383, p384) =STDEV.P(q375, q376, q377, q378, q379, q380, q381, q382, q383, q384) =STDEV.P(r375, r376, r377, r378, r379, r380, r381, r382, r383, r384) =STDEV.P(s375, s376, s377, s378, s379, s380, s381, s382, s383, s384) =STDEV.P(t375, t376, t377, t378, t379, t380, t381, t382, t383, t384) +=AVERAGE(a385, a386, a387, a388, a389, a390, a391, a392, a393, a394) =AVERAGE(b385, b386, b387, b388, b389, b390, b391, b392, b393, b394) =AVERAGE(c385, c386, c387, c388, c389, c390, c391, c392, c393, c394) =AVERAGE(d385, d386, d387, d388, d389, d390, d391, d392, d393, d394) =AVERAGE(e385, e386, e387, e388, e389, e390, e391, e392, e393, e394) =AVERAGE(f385, f386, f387, f388, f389, f390, f391, f392, f393, f394) =AVERAGE(g385, g386, g387, g388, g389, g390, g391, g392, g393, g394) =AVERAGE(h385, h386, h387, h388, h389, h390, h391, h392, h393, h394) =AVERAGE(i385, i386, i387, i388, i389, i390, i391, i392, i393, i394) =AVERAGE(j385, j386, j387, j388, j389, j390, j391, j392, j393, j394) =AVERAGE(k385, k386, k387, k388, k389, k390, k391, k392, k393, k394) =AVERAGE(l385, l386, l387, l388, l389, l390, l391, l392, l393, l394) =AVERAGE(m385, m386, m387, m388, m389, m390, m391, m392, m393, m394) =AVERAGE(n385, n386, n387, n388, n389, n390, n391, n392, n393, n394) =AVERAGE(o385, o386, o387, o388, o389, o390, o391, o392, o393, o394) =AVERAGE(p385, p386, p387, p388, p389, p390, p391, p392, p393, p394) =AVERAGE(q385, q386, q387, q388, q389, q390, q391, q392, q393, q394) =AVERAGE(r385, r386, r387, r388, r389, r390, r391, r392, r393, r394) =AVERAGE(s385, s386, s387, s388, s389, s390, s391, s392, s393, s394) =AVERAGE(t385, t386, t387, t388, t389, t390, t391, t392, t393, t394) =STDEV.P(a385, a386, a387, a388, a389, a390, a391, a392, a393, a394) =STDEV.P(b385, b386, b387, b388, b389, b390, b391, b392, b393, b394) =STDEV.P(c385, c386, c387, c388, c389, c390, c391, c392, c393, c394) =STDEV.P(d385, d386, d387, d388, d389, d390, d391, d392, d393, d394) =STDEV.P(e385, e386, e387, e388, e389, e390, e391, e392, e393, e394) =STDEV.P(f385, f386, f387, f388, f389, f390, f391, f392, f393, f394) =STDEV.P(g385, g386, g387, g388, g389, g390, g391, g392, g393, g394) =STDEV.P(h385, h386, h387, h388, h389, h390, h391, h392, h393, h394) =STDEV.P(i385, i386, i387, i388, i389, i390, i391, i392, i393, i394) =STDEV.P(j385, j386, j387, j388, j389, j390, j391, j392, j393, j394) =STDEV.P(k385, k386, k387, k388, k389, k390, k391, k392, k393, k394) =STDEV.P(l385, l386, l387, l388, l389, l390, l391, l392, l393, l394) =STDEV.P(m385, m386, m387, m388, m389, m390, m391, m392, m393, m394) =STDEV.P(n385, n386, n387, n388, n389, n390, n391, n392, n393, n394) =STDEV.P(o385, o386, o387, o388, o389, o390, o391, o392, o393, o394) =STDEV.P(p385, p386, p387, p388, p389, p390, p391, p392, p393, p394) =STDEV.P(q385, q386, q387, q388, q389, q390, q391, q392, q393, q394) =STDEV.P(r385, r386, r387, r388, r389, r390, r391, r392, r393, r394) =STDEV.P(s385, s386, s387, s388, s389, s390, s391, s392, s393, s394) =STDEV.P(t385, t386, t387, t388, t389, t390, t391, t392, t393, t394) +=AVERAGE(a395, a396, a397, a398, a399, a400, a401, a402, a403, a404) =AVERAGE(b395, b396, b397, b398, b399, b400, b401, b402, b403, b404) =AVERAGE(c395, c396, c397, c398, c399, c400, c401, c402, c403, c404) =AVERAGE(d395, d396, d397, d398, d399, d400, d401, d402, d403, d404) =AVERAGE(e395, e396, e397, e398, e399, e400, e401, e402, e403, e404) =AVERAGE(f395, f396, f397, f398, f399, f400, f401, f402, f403, f404) =AVERAGE(g395, g396, g397, g398, g399, g400, g401, g402, g403, g404) =AVERAGE(h395, h396, h397, h398, h399, h400, h401, h402, h403, h404) =AVERAGE(i395, i396, i397, i398, i399, i400, i401, i402, i403, i404) =AVERAGE(j395, j396, j397, j398, j399, j400, j401, j402, j403, j404) =AVERAGE(k395, k396, k397, k398, k399, k400, k401, k402, k403, k404) =AVERAGE(l395, l396, l397, l398, l399, l400, l401, l402, l403, l404) =AVERAGE(m395, m396, m397, m398, m399, m400, m401, m402, m403, m404) =AVERAGE(n395, n396, n397, n398, n399, n400, n401, n402, n403, n404) =AVERAGE(o395, o396, o397, o398, o399, o400, o401, o402, o403, o404) =AVERAGE(p395, p396, p397, p398, p399, p400, p401, p402, p403, p404) =AVERAGE(q395, q396, q397, q398, q399, q400, q401, q402, q403, q404) =AVERAGE(r395, r396, r397, r398, r399, r400, r401, r402, r403, r404) =AVERAGE(s395, s396, s397, s398, s399, s400, s401, s402, s403, s404) =AVERAGE(t395, t396, t397, t398, t399, t400, t401, t402, t403, t404) =STDEV.P(a395, a396, a397, a398, a399, a400, a401, a402, a403, a404) =STDEV.P(b395, b396, b397, b398, b399, b400, b401, b402, b403, b404) =STDEV.P(c395, c396, c397, c398, c399, c400, c401, c402, c403, c404) =STDEV.P(d395, d396, d397, d398, d399, d400, d401, d402, d403, d404) =STDEV.P(e395, e396, e397, e398, e399, e400, e401, e402, e403, e404) =STDEV.P(f395, f396, f397, f398, f399, f400, f401, f402, f403, f404) =STDEV.P(g395, g396, g397, g398, g399, g400, g401, g402, g403, g404) =STDEV.P(h395, h396, h397, h398, h399, h400, h401, h402, h403, h404) =STDEV.P(i395, i396, i397, i398, i399, i400, i401, i402, i403, i404) =STDEV.P(j395, j396, j397, j398, j399, j400, j401, j402, j403, j404) =STDEV.P(k395, k396, k397, k398, k399, k400, k401, k402, k403, k404) =STDEV.P(l395, l396, l397, l398, l399, l400, l401, l402, l403, l404) =STDEV.P(m395, m396, m397, m398, m399, m400, m401, m402, m403, m404) =STDEV.P(n395, n396, n397, n398, n399, n400, n401, n402, n403, n404) =STDEV.P(o395, o396, o397, o398, o399, o400, o401, o402, o403, o404) =STDEV.P(p395, p396, p397, p398, p399, p400, p401, p402, p403, p404) =STDEV.P(q395, q396, q397, q398, q399, q400, q401, q402, q403, q404) =STDEV.P(r395, r396, r397, r398, r399, r400, r401, r402, r403, r404) =STDEV.P(s395, s396, s397, s398, s399, s400, s401, s402, s403, s404) =STDEV.P(t395, t396, t397, t398, t399, t400, t401, t402, t403, t404) +=AVERAGE(a405, a406, a407, a408, a409, a410, a411, a412, a413, a414) =AVERAGE(b405, b406, b407, b408, b409, b410, b411, b412, b413, b414) =AVERAGE(c405, c406, c407, c408, c409, c410, c411, c412, c413, c414) =AVERAGE(d405, d406, d407, d408, d409, d410, d411, d412, d413, d414) =AVERAGE(e405, e406, e407, e408, e409, e410, e411, e412, e413, e414) =AVERAGE(f405, f406, f407, f408, f409, f410, f411, f412, f413, f414) =AVERAGE(g405, g406, g407, g408, g409, g410, g411, g412, g413, g414) =AVERAGE(h405, h406, h407, h408, h409, h410, h411, h412, h413, h414) =AVERAGE(i405, i406, i407, i408, i409, i410, i411, i412, i413, i414) =AVERAGE(j405, j406, j407, j408, j409, j410, j411, j412, j413, j414) =AVERAGE(k405, k406, k407, k408, k409, k410, k411, k412, k413, k414) =AVERAGE(l405, l406, l407, l408, l409, l410, l411, l412, l413, l414) =AVERAGE(m405, m406, m407, m408, m409, m410, m411, m412, m413, m414) =AVERAGE(n405, n406, n407, n408, n409, n410, n411, n412, n413, n414) =AVERAGE(o405, o406, o407, o408, o409, o410, o411, o412, o413, o414) =AVERAGE(p405, p406, p407, p408, p409, p410, p411, p412, p413, p414) =AVERAGE(q405, q406, q407, q408, q409, q410, q411, q412, q413, q414) =AVERAGE(r405, r406, r407, r408, r409, r410, r411, r412, r413, r414) =AVERAGE(s405, s406, s407, s408, s409, s410, s411, s412, s413, s414) =AVERAGE(t405, t406, t407, t408, t409, t410, t411, t412, t413, t414) =STDEV.P(a405, a406, a407, a408, a409, a410, a411, a412, a413, a414) =STDEV.P(b405, b406, b407, b408, b409, b410, b411, b412, b413, b414) =STDEV.P(c405, c406, c407, c408, c409, c410, c411, c412, c413, c414) =STDEV.P(d405, d406, d407, d408, d409, d410, d411, d412, d413, d414) =STDEV.P(e405, e406, e407, e408, e409, e410, e411, e412, e413, e414) =STDEV.P(f405, f406, f407, f408, f409, f410, f411, f412, f413, f414) =STDEV.P(g405, g406, g407, g408, g409, g410, g411, g412, g413, g414) =STDEV.P(h405, h406, h407, h408, h409, h410, h411, h412, h413, h414) =STDEV.P(i405, i406, i407, i408, i409, i410, i411, i412, i413, i414) =STDEV.P(j405, j406, j407, j408, j409, j410, j411, j412, j413, j414) =STDEV.P(k405, k406, k407, k408, k409, k410, k411, k412, k413, k414) =STDEV.P(l405, l406, l407, l408, l409, l410, l411, l412, l413, l414) =STDEV.P(m405, m406, m407, m408, m409, m410, m411, m412, m413, m414) =STDEV.P(n405, n406, n407, n408, n409, n410, n411, n412, n413, n414) =STDEV.P(o405, o406, o407, o408, o409, o410, o411, o412, o413, o414) =STDEV.P(p405, p406, p407, p408, p409, p410, p411, p412, p413, p414) =STDEV.P(q405, q406, q407, q408, q409, q410, q411, q412, q413, q414) =STDEV.P(r405, r406, r407, r408, r409, r410, r411, r412, r413, r414) =STDEV.P(s405, s406, s407, s408, s409, s410, s411, s412, s413, s414) =STDEV.P(t405, t406, t407, t408, t409, t410, t411, t412, t413, t414) +=AVERAGE(a415, a416, a417, a418, a419, a420, a421, a422, a423, a424) =AVERAGE(b415, b416, b417, b418, b419, b420, b421, b422, b423, b424) =AVERAGE(c415, c416, c417, c418, c419, c420, c421, c422, c423, c424) =AVERAGE(d415, d416, d417, d418, d419, d420, d421, d422, d423, d424) =AVERAGE(e415, e416, e417, e418, e419, e420, e421, e422, e423, e424) =AVERAGE(f415, f416, f417, f418, f419, f420, f421, f422, f423, f424) =AVERAGE(g415, g416, g417, g418, g419, g420, g421, g422, g423, g424) =AVERAGE(h415, h416, h417, h418, h419, h420, h421, h422, h423, h424) =AVERAGE(i415, i416, i417, i418, i419, i420, i421, i422, i423, i424) =AVERAGE(j415, j416, j417, j418, j419, j420, j421, j422, j423, j424) =AVERAGE(k415, k416, k417, k418, k419, k420, k421, k422, k423, k424) =AVERAGE(l415, l416, l417, l418, l419, l420, l421, l422, l423, l424) =AVERAGE(m415, m416, m417, m418, m419, m420, m421, m422, m423, m424) =AVERAGE(n415, n416, n417, n418, n419, n420, n421, n422, n423, n424) =AVERAGE(o415, o416, o417, o418, o419, o420, o421, o422, o423, o424) =AVERAGE(p415, p416, p417, p418, p419, p420, p421, p422, p423, p424) =AVERAGE(q415, q416, q417, q418, q419, q420, q421, q422, q423, q424) =AVERAGE(r415, r416, r417, r418, r419, r420, r421, r422, r423, r424) =AVERAGE(s415, s416, s417, s418, s419, s420, s421, s422, s423, s424) =AVERAGE(t415, t416, t417, t418, t419, t420, t421, t422, t423, t424) =STDEV.P(a415, a416, a417, a418, a419, a420, a421, a422, a423, a424) =STDEV.P(b415, b416, b417, b418, b419, b420, b421, b422, b423, b424) =STDEV.P(c415, c416, c417, c418, c419, c420, c421, c422, c423, c424) =STDEV.P(d415, d416, d417, d418, d419, d420, d421, d422, d423, d424) =STDEV.P(e415, e416, e417, e418, e419, e420, e421, e422, e423, e424) =STDEV.P(f415, f416, f417, f418, f419, f420, f421, f422, f423, f424) =STDEV.P(g415, g416, g417, g418, g419, g420, g421, g422, g423, g424) =STDEV.P(h415, h416, h417, h418, h419, h420, h421, h422, h423, h424) =STDEV.P(i415, i416, i417, i418, i419, i420, i421, i422, i423, i424) =STDEV.P(j415, j416, j417, j418, j419, j420, j421, j422, j423, j424) =STDEV.P(k415, k416, k417, k418, k419, k420, k421, k422, k423, k424) =STDEV.P(l415, l416, l417, l418, l419, l420, l421, l422, l423, l424) =STDEV.P(m415, m416, m417, m418, m419, m420, m421, m422, m423, m424) =STDEV.P(n415, n416, n417, n418, n419, n420, n421, n422, n423, n424) =STDEV.P(o415, o416, o417, o418, o419, o420, o421, o422, o423, o424) =STDEV.P(p415, p416, p417, p418, p419, p420, p421, p422, p423, p424) =STDEV.P(q415, q416, q417, q418, q419, q420, q421, q422, q423, q424) =STDEV.P(r415, r416, r417, r418, r419, r420, r421, r422, r423, r424) =STDEV.P(s415, s416, s417, s418, s419, s420, s421, s422, s423, s424) =STDEV.P(t415, t416, t417, t418, t419, t420, t421, t422, t423, t424) +=AVERAGE(a425, a426, a427, a428, a429, a430, a431, a432, a433, a434) =AVERAGE(b425, b426, b427, b428, b429, b430, b431, b432, b433, b434) =AVERAGE(c425, c426, c427, c428, c429, c430, c431, c432, c433, c434) =AVERAGE(d425, d426, d427, d428, d429, d430, d431, d432, d433, d434) =AVERAGE(e425, e426, e427, e428, e429, e430, e431, e432, e433, e434) =AVERAGE(f425, f426, f427, f428, f429, f430, f431, f432, f433, f434) =AVERAGE(g425, g426, g427, g428, g429, g430, g431, g432, g433, g434) =AVERAGE(h425, h426, h427, h428, h429, h430, h431, h432, h433, h434) =AVERAGE(i425, i426, i427, i428, i429, i430, i431, i432, i433, i434) =AVERAGE(j425, j426, j427, j428, j429, j430, j431, j432, j433, j434) =AVERAGE(k425, k426, k427, k428, k429, k430, k431, k432, k433, k434) =AVERAGE(l425, l426, l427, l428, l429, l430, l431, l432, l433, l434) =AVERAGE(m425, m426, m427, m428, m429, m430, m431, m432, m433, m434) =AVERAGE(n425, n426, n427, n428, n429, n430, n431, n432, n433, n434) =AVERAGE(o425, o426, o427, o428, o429, o430, o431, o432, o433, o434) =AVERAGE(p425, p426, p427, p428, p429, p430, p431, p432, p433, p434) =AVERAGE(q425, q426, q427, q428, q429, q430, q431, q432, q433, q434) =AVERAGE(r425, r426, r427, r428, r429, r430, r431, r432, r433, r434) =AVERAGE(s425, s426, s427, s428, s429, s430, s431, s432, s433, s434) =AVERAGE(t425, t426, t427, t428, t429, t430, t431, t432, t433, t434) =STDEV.P(a425, a426, a427, a428, a429, a430, a431, a432, a433, a434) =STDEV.P(b425, b426, b427, b428, b429, b430, b431, b432, b433, b434) =STDEV.P(c425, c426, c427, c428, c429, c430, c431, c432, c433, c434) =STDEV.P(d425, d426, d427, d428, d429, d430, d431, d432, d433, d434) =STDEV.P(e425, e426, e427, e428, e429, e430, e431, e432, e433, e434) =STDEV.P(f425, f426, f427, f428, f429, f430, f431, f432, f433, f434) =STDEV.P(g425, g426, g427, g428, g429, g430, g431, g432, g433, g434) =STDEV.P(h425, h426, h427, h428, h429, h430, h431, h432, h433, h434) =STDEV.P(i425, i426, i427, i428, i429, i430, i431, i432, i433, i434) =STDEV.P(j425, j426, j427, j428, j429, j430, j431, j432, j433, j434) =STDEV.P(k425, k426, k427, k428, k429, k430, k431, k432, k433, k434) =STDEV.P(l425, l426, l427, l428, l429, l430, l431, l432, l433, l434) =STDEV.P(m425, m426, m427, m428, m429, m430, m431, m432, m433, m434) =STDEV.P(n425, n426, n427, n428, n429, n430, n431, n432, n433, n434) =STDEV.P(o425, o426, o427, o428, o429, o430, o431, o432, o433, o434) =STDEV.P(p425, p426, p427, p428, p429, p430, p431, p432, p433, p434) =STDEV.P(q425, q426, q427, q428, q429, q430, q431, q432, q433, q434) =STDEV.P(r425, r426, r427, r428, r429, r430, r431, r432, r433, r434) =STDEV.P(s425, s426, s427, s428, s429, s430, s431, s432, s433, s434) =STDEV.P(t425, t426, t427, t428, t429, t430, t431, t432, t433, t434) +=AVERAGE(a435, a436, a437, a438, a439, a440, a441, a442, a443, a444) =AVERAGE(b435, b436, b437, b438, b439, b440, b441, b442, b443, b444) =AVERAGE(c435, c436, c437, c438, c439, c440, c441, c442, c443, c444) =AVERAGE(d435, d436, d437, d438, d439, d440, d441, d442, d443, d444) =AVERAGE(e435, e436, e437, e438, e439, e440, e441, e442, e443, e444) =AVERAGE(f435, f436, f437, f438, f439, f440, f441, f442, f443, f444) =AVERAGE(g435, g436, g437, g438, g439, g440, g441, g442, g443, g444) =AVERAGE(h435, h436, h437, h438, h439, h440, h441, h442, h443, h444) =AVERAGE(i435, i436, i437, i438, i439, i440, i441, i442, i443, i444) =AVERAGE(j435, j436, j437, j438, j439, j440, j441, j442, j443, j444) =AVERAGE(k435, k436, k437, k438, k439, k440, k441, k442, k443, k444) =AVERAGE(l435, l436, l437, l438, l439, l440, l441, l442, l443, l444) =AVERAGE(m435, m436, m437, m438, m439, m440, m441, m442, m443, m444) =AVERAGE(n435, n436, n437, n438, n439, n440, n441, n442, n443, n444) =AVERAGE(o435, o436, o437, o438, o439, o440, o441, o442, o443, o444) =AVERAGE(p435, p436, p437, p438, p439, p440, p441, p442, p443, p444) =AVERAGE(q435, q436, q437, q438, q439, q440, q441, q442, q443, q444) =AVERAGE(r435, r436, r437, r438, r439, r440, r441, r442, r443, r444) =AVERAGE(s435, s436, s437, s438, s439, s440, s441, s442, s443, s444) =AVERAGE(t435, t436, t437, t438, t439, t440, t441, t442, t443, t444) =STDEV.P(a435, a436, a437, a438, a439, a440, a441, a442, a443, a444) =STDEV.P(b435, b436, b437, b438, b439, b440, b441, b442, b443, b444) =STDEV.P(c435, c436, c437, c438, c439, c440, c441, c442, c443, c444) =STDEV.P(d435, d436, d437, d438, d439, d440, d441, d442, d443, d444) =STDEV.P(e435, e436, e437, e438, e439, e440, e441, e442, e443, e444) =STDEV.P(f435, f436, f437, f438, f439, f440, f441, f442, f443, f444) =STDEV.P(g435, g436, g437, g438, g439, g440, g441, g442, g443, g444) =STDEV.P(h435, h436, h437, h438, h439, h440, h441, h442, h443, h444) =STDEV.P(i435, i436, i437, i438, i439, i440, i441, i442, i443, i444) =STDEV.P(j435, j436, j437, j438, j439, j440, j441, j442, j443, j444) =STDEV.P(k435, k436, k437, k438, k439, k440, k441, k442, k443, k444) =STDEV.P(l435, l436, l437, l438, l439, l440, l441, l442, l443, l444) =STDEV.P(m435, m436, m437, m438, m439, m440, m441, m442, m443, m444) =STDEV.P(n435, n436, n437, n438, n439, n440, n441, n442, n443, n444) =STDEV.P(o435, o436, o437, o438, o439, o440, o441, o442, o443, o444) =STDEV.P(p435, p436, p437, p438, p439, p440, p441, p442, p443, p444) =STDEV.P(q435, q436, q437, q438, q439, q440, q441, q442, q443, q444) =STDEV.P(r435, r436, r437, r438, r439, r440, r441, r442, r443, r444) =STDEV.P(s435, s436, s437, s438, s439, s440, s441, s442, s443, s444) =STDEV.P(t435, t436, t437, t438, t439, t440, t441, t442, t443, t444) +=AVERAGE(a445, a446, a447, a448, a449, a450, a451, a452, a453, a454) =AVERAGE(b445, b446, b447, b448, b449, b450, b451, b452, b453, b454) =AVERAGE(c445, c446, c447, c448, c449, c450, c451, c452, c453, c454) =AVERAGE(d445, d446, d447, d448, d449, d450, d451, d452, d453, d454) =AVERAGE(e445, e446, e447, e448, e449, e450, e451, e452, e453, e454) =AVERAGE(f445, f446, f447, f448, f449, f450, f451, f452, f453, f454) =AVERAGE(g445, g446, g447, g448, g449, g450, g451, g452, g453, g454) =AVERAGE(h445, h446, h447, h448, h449, h450, h451, h452, h453, h454) =AVERAGE(i445, i446, i447, i448, i449, i450, i451, i452, i453, i454) =AVERAGE(j445, j446, j447, j448, j449, j450, j451, j452, j453, j454) =AVERAGE(k445, k446, k447, k448, k449, k450, k451, k452, k453, k454) =AVERAGE(l445, l446, l447, l448, l449, l450, l451, l452, l453, l454) =AVERAGE(m445, m446, m447, m448, m449, m450, m451, m452, m453, m454) =AVERAGE(n445, n446, n447, n448, n449, n450, n451, n452, n453, n454) =AVERAGE(o445, o446, o447, o448, o449, o450, o451, o452, o453, o454) =AVERAGE(p445, p446, p447, p448, p449, p450, p451, p452, p453, p454) =AVERAGE(q445, q446, q447, q448, q449, q450, q451, q452, q453, q454) =AVERAGE(r445, r446, r447, r448, r449, r450, r451, r452, r453, r454) =AVERAGE(s445, s446, s447, s448, s449, s450, s451, s452, s453, s454) =AVERAGE(t445, t446, t447, t448, t449, t450, t451, t452, t453, t454) =STDEV.P(a445, a446, a447, a448, a449, a450, a451, a452, a453, a454) =STDEV.P(b445, b446, b447, b448, b449, b450, b451, b452, b453, b454) =STDEV.P(c445, c446, c447, c448, c449, c450, c451, c452, c453, c454) =STDEV.P(d445, d446, d447, d448, d449, d450, d451, d452, d453, d454) =STDEV.P(e445, e446, e447, e448, e449, e450, e451, e452, e453, e454) =STDEV.P(f445, f446, f447, f448, f449, f450, f451, f452, f453, f454) =STDEV.P(g445, g446, g447, g448, g449, g450, g451, g452, g453, g454) =STDEV.P(h445, h446, h447, h448, h449, h450, h451, h452, h453, h454) =STDEV.P(i445, i446, i447, i448, i449, i450, i451, i452, i453, i454) =STDEV.P(j445, j446, j447, j448, j449, j450, j451, j452, j453, j454) =STDEV.P(k445, k446, k447, k448, k449, k450, k451, k452, k453, k454) =STDEV.P(l445, l446, l447, l448, l449, l450, l451, l452, l453, l454) =STDEV.P(m445, m446, m447, m448, m449, m450, m451, m452, m453, m454) =STDEV.P(n445, n446, n447, n448, n449, n450, n451, n452, n453, n454) =STDEV.P(o445, o446, o447, o448, o449, o450, o451, o452, o453, o454) =STDEV.P(p445, p446, p447, p448, p449, p450, p451, p452, p453, p454) =STDEV.P(q445, q446, q447, q448, q449, q450, q451, q452, q453, q454) =STDEV.P(r445, r446, r447, r448, r449, r450, r451, r452, r453, r454) =STDEV.P(s445, s446, s447, s448, s449, s450, s451, s452, s453, s454) =STDEV.P(t445, t446, t447, t448, t449, t450, t451, t452, t453, t454) +=AVERAGE(a455, a456, a457, a458, a459, a460, a461, a462, a463, a464) =AVERAGE(b455, b456, b457, b458, b459, b460, b461, b462, b463, b464) =AVERAGE(c455, c456, c457, c458, c459, c460, c461, c462, c463, c464) =AVERAGE(d455, d456, d457, d458, d459, d460, d461, d462, d463, d464) =AVERAGE(e455, e456, e457, e458, e459, e460, e461, e462, e463, e464) =AVERAGE(f455, f456, f457, f458, f459, f460, f461, f462, f463, f464) =AVERAGE(g455, g456, g457, g458, g459, g460, g461, g462, g463, g464) =AVERAGE(h455, h456, h457, h458, h459, h460, h461, h462, h463, h464) =AVERAGE(i455, i456, i457, i458, i459, i460, i461, i462, i463, i464) =AVERAGE(j455, j456, j457, j458, j459, j460, j461, j462, j463, j464) =AVERAGE(k455, k456, k457, k458, k459, k460, k461, k462, k463, k464) =AVERAGE(l455, l456, l457, l458, l459, l460, l461, l462, l463, l464) =AVERAGE(m455, m456, m457, m458, m459, m460, m461, m462, m463, m464) =AVERAGE(n455, n456, n457, n458, n459, n460, n461, n462, n463, n464) =AVERAGE(o455, o456, o457, o458, o459, o460, o461, o462, o463, o464) =AVERAGE(p455, p456, p457, p458, p459, p460, p461, p462, p463, p464) =AVERAGE(q455, q456, q457, q458, q459, q460, q461, q462, q463, q464) =AVERAGE(r455, r456, r457, r458, r459, r460, r461, r462, r463, r464) =AVERAGE(s455, s456, s457, s458, s459, s460, s461, s462, s463, s464) =AVERAGE(t455, t456, t457, t458, t459, t460, t461, t462, t463, t464) =STDEV.P(a455, a456, a457, a458, a459, a460, a461, a462, a463, a464) =STDEV.P(b455, b456, b457, b458, b459, b460, b461, b462, b463, b464) =STDEV.P(c455, c456, c457, c458, c459, c460, c461, c462, c463, c464) =STDEV.P(d455, d456, d457, d458, d459, d460, d461, d462, d463, d464) =STDEV.P(e455, e456, e457, e458, e459, e460, e461, e462, e463, e464) =STDEV.P(f455, f456, f457, f458, f459, f460, f461, f462, f463, f464) =STDEV.P(g455, g456, g457, g458, g459, g460, g461, g462, g463, g464) =STDEV.P(h455, h456, h457, h458, h459, h460, h461, h462, h463, h464) =STDEV.P(i455, i456, i457, i458, i459, i460, i461, i462, i463, i464) =STDEV.P(j455, j456, j457, j458, j459, j460, j461, j462, j463, j464) =STDEV.P(k455, k456, k457, k458, k459, k460, k461, k462, k463, k464) =STDEV.P(l455, l456, l457, l458, l459, l460, l461, l462, l463, l464) =STDEV.P(m455, m456, m457, m458, m459, m460, m461, m462, m463, m464) =STDEV.P(n455, n456, n457, n458, n459, n460, n461, n462, n463, n464) =STDEV.P(o455, o456, o457, o458, o459, o460, o461, o462, o463, o464) =STDEV.P(p455, p456, p457, p458, p459, p460, p461, p462, p463, p464) =STDEV.P(q455, q456, q457, q458, q459, q460, q461, q462, q463, q464) =STDEV.P(r455, r456, r457, r458, r459, r460, r461, r462, r463, r464) =STDEV.P(s455, s456, s457, s458, s459, s460, s461, s462, s463, s464) =STDEV.P(t455, t456, t457, t458, t459, t460, t461, t462, t463, t464) +=AVERAGE(a465, a466, a467, a468, a469, a470, a471, a472, a473, a474) =AVERAGE(b465, b466, b467, b468, b469, b470, b471, b472, b473, b474) =AVERAGE(c465, c466, c467, c468, c469, c470, c471, c472, c473, c474) =AVERAGE(d465, d466, d467, d468, d469, d470, d471, d472, d473, d474) =AVERAGE(e465, e466, e467, e468, e469, e470, e471, e472, e473, e474) =AVERAGE(f465, f466, f467, f468, f469, f470, f471, f472, f473, f474) =AVERAGE(g465, g466, g467, g468, g469, g470, g471, g472, g473, g474) =AVERAGE(h465, h466, h467, h468, h469, h470, h471, h472, h473, h474) =AVERAGE(i465, i466, i467, i468, i469, i470, i471, i472, i473, i474) =AVERAGE(j465, j466, j467, j468, j469, j470, j471, j472, j473, j474) =AVERAGE(k465, k466, k467, k468, k469, k470, k471, k472, k473, k474) =AVERAGE(l465, l466, l467, l468, l469, l470, l471, l472, l473, l474) =AVERAGE(m465, m466, m467, m468, m469, m470, m471, m472, m473, m474) =AVERAGE(n465, n466, n467, n468, n469, n470, n471, n472, n473, n474) =AVERAGE(o465, o466, o467, o468, o469, o470, o471, o472, o473, o474) =AVERAGE(p465, p466, p467, p468, p469, p470, p471, p472, p473, p474) =AVERAGE(q465, q466, q467, q468, q469, q470, q471, q472, q473, q474) =AVERAGE(r465, r466, r467, r468, r469, r470, r471, r472, r473, r474) =AVERAGE(s465, s466, s467, s468, s469, s470, s471, s472, s473, s474) =AVERAGE(t465, t466, t467, t468, t469, t470, t471, t472, t473, t474) =STDEV.P(a465, a466, a467, a468, a469, a470, a471, a472, a473, a474) =STDEV.P(b465, b466, b467, b468, b469, b470, b471, b472, b473, b474) =STDEV.P(c465, c466, c467, c468, c469, c470, c471, c472, c473, c474) =STDEV.P(d465, d466, d467, d468, d469, d470, d471, d472, d473, d474) =STDEV.P(e465, e466, e467, e468, e469, e470, e471, e472, e473, e474) =STDEV.P(f465, f466, f467, f468, f469, f470, f471, f472, f473, f474) =STDEV.P(g465, g466, g467, g468, g469, g470, g471, g472, g473, g474) =STDEV.P(h465, h466, h467, h468, h469, h470, h471, h472, h473, h474) =STDEV.P(i465, i466, i467, i468, i469, i470, i471, i472, i473, i474) =STDEV.P(j465, j466, j467, j468, j469, j470, j471, j472, j473, j474) =STDEV.P(k465, k466, k467, k468, k469, k470, k471, k472, k473, k474) =STDEV.P(l465, l466, l467, l468, l469, l470, l471, l472, l473, l474) =STDEV.P(m465, m466, m467, m468, m469, m470, m471, m472, m473, m474) =STDEV.P(n465, n466, n467, n468, n469, n470, n471, n472, n473, n474) =STDEV.P(o465, o466, o467, o468, o469, o470, o471, o472, o473, o474) =STDEV.P(p465, p466, p467, p468, p469, p470, p471, p472, p473, p474) =STDEV.P(q465, q466, q467, q468, q469, q470, q471, q472, q473, q474) =STDEV.P(r465, r466, r467, r468, r469, r470, r471, r472, r473, r474) =STDEV.P(s465, s466, s467, s468, s469, s470, s471, s472, s473, s474) =STDEV.P(t465, t466, t467, t468, t469, t470, t471, t472, t473, t474) +=AVERAGE(a475, a476, a477, a478, a479, a480, a481, a482, a483, a484) =AVERAGE(b475, b476, b477, b478, b479, b480, b481, b482, b483, b484) =AVERAGE(c475, c476, c477, c478, c479, c480, c481, c482, c483, c484) =AVERAGE(d475, d476, d477, d478, d479, d480, d481, d482, d483, d484) =AVERAGE(e475, e476, e477, e478, e479, e480, e481, e482, e483, e484) =AVERAGE(f475, f476, f477, f478, f479, f480, f481, f482, f483, f484) =AVERAGE(g475, g476, g477, g478, g479, g480, g481, g482, g483, g484) =AVERAGE(h475, h476, h477, h478, h479, h480, h481, h482, h483, h484) =AVERAGE(i475, i476, i477, i478, i479, i480, i481, i482, i483, i484) =AVERAGE(j475, j476, j477, j478, j479, j480, j481, j482, j483, j484) =AVERAGE(k475, k476, k477, k478, k479, k480, k481, k482, k483, k484) =AVERAGE(l475, l476, l477, l478, l479, l480, l481, l482, l483, l484) =AVERAGE(m475, m476, m477, m478, m479, m480, m481, m482, m483, m484) =AVERAGE(n475, n476, n477, n478, n479, n480, n481, n482, n483, n484) =AVERAGE(o475, o476, o477, o478, o479, o480, o481, o482, o483, o484) =AVERAGE(p475, p476, p477, p478, p479, p480, p481, p482, p483, p484) =AVERAGE(q475, q476, q477, q478, q479, q480, q481, q482, q483, q484) =AVERAGE(r475, r476, r477, r478, r479, r480, r481, r482, r483, r484) =AVERAGE(s475, s476, s477, s478, s479, s480, s481, s482, s483, s484) =AVERAGE(t475, t476, t477, t478, t479, t480, t481, t482, t483, t484) =STDEV.P(a475, a476, a477, a478, a479, a480, a481, a482, a483, a484) =STDEV.P(b475, b476, b477, b478, b479, b480, b481, b482, b483, b484) =STDEV.P(c475, c476, c477, c478, c479, c480, c481, c482, c483, c484) =STDEV.P(d475, d476, d477, d478, d479, d480, d481, d482, d483, d484) =STDEV.P(e475, e476, e477, e478, e479, e480, e481, e482, e483, e484) =STDEV.P(f475, f476, f477, f478, f479, f480, f481, f482, f483, f484) =STDEV.P(g475, g476, g477, g478, g479, g480, g481, g482, g483, g484) =STDEV.P(h475, h476, h477, h478, h479, h480, h481, h482, h483, h484) =STDEV.P(i475, i476, i477, i478, i479, i480, i481, i482, i483, i484) =STDEV.P(j475, j476, j477, j478, j479, j480, j481, j482, j483, j484) =STDEV.P(k475, k476, k477, k478, k479, k480, k481, k482, k483, k484) =STDEV.P(l475, l476, l477, l478, l479, l480, l481, l482, l483, l484) =STDEV.P(m475, m476, m477, m478, m479, m480, m481, m482, m483, m484) =STDEV.P(n475, n476, n477, n478, n479, n480, n481, n482, n483, n484) =STDEV.P(o475, o476, o477, o478, o479, o480, o481, o482, o483, o484) =STDEV.P(p475, p476, p477, p478, p479, p480, p481, p482, p483, p484) =STDEV.P(q475, q476, q477, q478, q479, q480, q481, q482, q483, q484) =STDEV.P(r475, r476, r477, r478, r479, r480, r481, r482, r483, r484) =STDEV.P(s475, s476, s477, s478, s479, s480, s481, s482, s483, s484) =STDEV.P(t475, t476, t477, t478, t479, t480, t481, t482, t483, t484) +=AVERAGE(a485, a486, a487, a488, a489, a490, a491, a492, a493, a494) =AVERAGE(b485, b486, b487, b488, b489, b490, b491, b492, b493, b494) =AVERAGE(c485, c486, c487, c488, c489, c490, c491, c492, c493, c494) =AVERAGE(d485, d486, d487, d488, d489, d490, d491, d492, d493, d494) =AVERAGE(e485, e486, e487, e488, e489, e490, e491, e492, e493, e494) =AVERAGE(f485, f486, f487, f488, f489, f490, f491, f492, f493, f494) =AVERAGE(g485, g486, g487, g488, g489, g490, g491, g492, g493, g494) =AVERAGE(h485, h486, h487, h488, h489, h490, h491, h492, h493, h494) =AVERAGE(i485, i486, i487, i488, i489, i490, i491, i492, i493, i494) =AVERAGE(j485, j486, j487, j488, j489, j490, j491, j492, j493, j494) =AVERAGE(k485, k486, k487, k488, k489, k490, k491, k492, k493, k494) =AVERAGE(l485, l486, l487, l488, l489, l490, l491, l492, l493, l494) =AVERAGE(m485, m486, m487, m488, m489, m490, m491, m492, m493, m494) =AVERAGE(n485, n486, n487, n488, n489, n490, n491, n492, n493, n494) =AVERAGE(o485, o486, o487, o488, o489, o490, o491, o492, o493, o494) =AVERAGE(p485, p486, p487, p488, p489, p490, p491, p492, p493, p494) =AVERAGE(q485, q486, q487, q488, q489, q490, q491, q492, q493, q494) =AVERAGE(r485, r486, r487, r488, r489, r490, r491, r492, r493, r494) =AVERAGE(s485, s486, s487, s488, s489, s490, s491, s492, s493, s494) =AVERAGE(t485, t486, t487, t488, t489, t490, t491, t492, t493, t494) =STDEV.P(a485, a486, a487, a488, a489, a490, a491, a492, a493, a494) =STDEV.P(b485, b486, b487, b488, b489, b490, b491, b492, b493, b494) =STDEV.P(c485, c486, c487, c488, c489, c490, c491, c492, c493, c494) =STDEV.P(d485, d486, d487, d488, d489, d490, d491, d492, d493, d494) =STDEV.P(e485, e486, e487, e488, e489, e490, e491, e492, e493, e494) =STDEV.P(f485, f486, f487, f488, f489, f490, f491, f492, f493, f494) =STDEV.P(g485, g486, g487, g488, g489, g490, g491, g492, g493, g494) =STDEV.P(h485, h486, h487, h488, h489, h490, h491, h492, h493, h494) =STDEV.P(i485, i486, i487, i488, i489, i490, i491, i492, i493, i494) =STDEV.P(j485, j486, j487, j488, j489, j490, j491, j492, j493, j494) =STDEV.P(k485, k486, k487, k488, k489, k490, k491, k492, k493, k494) =STDEV.P(l485, l486, l487, l488, l489, l490, l491, l492, l493, l494) =STDEV.P(m485, m486, m487, m488, m489, m490, m491, m492, m493, m494) =STDEV.P(n485, n486, n487, n488, n489, n490, n491, n492, n493, n494) =STDEV.P(o485, o486, o487, o488, o489, o490, o491, o492, o493, o494) =STDEV.P(p485, p486, p487, p488, p489, p490, p491, p492, p493, p494) =STDEV.P(q485, q486, q487, q488, q489, q490, q491, q492, q493, q494) =STDEV.P(r485, r486, r487, r488, r489, r490, r491, r492, r493, r494) =STDEV.P(s485, s486, s487, s488, s489, s490, s491, s492, s493, s494) =STDEV.P(t485, t486, t487, t488, t489, t490, t491, t492, t493, t494) +=AVERAGE(a495, a496, a497, a498, a499, a500, a501, a502, a503, a504) =AVERAGE(b495, b496, b497, b498, b499, b500, b501, b502, b503, b504) =AVERAGE(c495, c496, c497, c498, c499, c500, c501, c502, c503, c504) =AVERAGE(d495, d496, d497, d498, d499, d500, d501, d502, d503, d504) =AVERAGE(e495, e496, e497, e498, e499, e500, e501, e502, e503, e504) =AVERAGE(f495, f496, f497, f498, f499, f500, f501, f502, f503, f504) =AVERAGE(g495, g496, g497, g498, g499, g500, g501, g502, g503, g504) =AVERAGE(h495, h496, h497, h498, h499, h500, h501, h502, h503, h504) =AVERAGE(i495, i496, i497, i498, i499, i500, i501, i502, i503, i504) =AVERAGE(j495, j496, j497, j498, j499, j500, j501, j502, j503, j504) =AVERAGE(k495, k496, k497, k498, k499, k500, k501, k502, k503, k504) =AVERAGE(l495, l496, l497, l498, l499, l500, l501, l502, l503, l504) =AVERAGE(m495, m496, m497, m498, m499, m500, m501, m502, m503, m504) =AVERAGE(n495, n496, n497, n498, n499, n500, n501, n502, n503, n504) =AVERAGE(o495, o496, o497, o498, o499, o500, o501, o502, o503, o504) =AVERAGE(p495, p496, p497, p498, p499, p500, p501, p502, p503, p504) =AVERAGE(q495, q496, q497, q498, q499, q500, q501, q502, q503, q504) =AVERAGE(r495, r496, r497, r498, r499, r500, r501, r502, r503, r504) =AVERAGE(s495, s496, s497, s498, s499, s500, s501, s502, s503, s504) =AVERAGE(t495, t496, t497, t498, t499, t500, t501, t502, t503, t504) =STDEV.P(a495, a496, a497, a498, a499, a500, a501, a502, a503, a504) =STDEV.P(b495, b496, b497, b498, b499, b500, b501, b502, b503, b504) =STDEV.P(c495, c496, c497, c498, c499, c500, c501, c502, c503, c504) =STDEV.P(d495, d496, d497, d498, d499, d500, d501, d502, d503, d504) =STDEV.P(e495, e496, e497, e498, e499, e500, e501, e502, e503, e504) =STDEV.P(f495, f496, f497, f498, f499, f500, f501, f502, f503, f504) =STDEV.P(g495, g496, g497, g498, g499, g500, g501, g502, g503, g504) =STDEV.P(h495, h496, h497, h498, h499, h500, h501, h502, h503, h504) =STDEV.P(i495, i496, i497, i498, i499, i500, i501, i502, i503, i504) =STDEV.P(j495, j496, j497, j498, j499, j500, j501, j502, j503, j504) =STDEV.P(k495, k496, k497, k498, k499, k500, k501, k502, k503, k504) =STDEV.P(l495, l496, l497, l498, l499, l500, l501, l502, l503, l504) =STDEV.P(m495, m496, m497, m498, m499, m500, m501, m502, m503, m504) =STDEV.P(n495, n496, n497, n498, n499, n500, n501, n502, n503, n504) =STDEV.P(o495, o496, o497, o498, o499, o500, o501, o502, o503, o504) =STDEV.P(p495, p496, p497, p498, p499, p500, p501, p502, p503, p504) =STDEV.P(q495, q496, q497, q498, q499, q500, q501, q502, q503, q504) =STDEV.P(r495, r496, r497, r498, r499, r500, r501, r502, r503, r504) =STDEV.P(s495, s496, s497, s498, s499, s500, s501, s502, s503, s504) =STDEV.P(t495, t496, t497, t498, t499, t500, t501, t502, t503, t504) +=AVERAGE(a505, a506, a507, a508, a509, a510, a511, a512, a513, a514) =AVERAGE(b505, b506, b507, b508, b509, b510, b511, b512, b513, b514) =AVERAGE(c505, c506, c507, c508, c509, c510, c511, c512, c513, c514) =AVERAGE(d505, d506, d507, d508, d509, d510, d511, d512, d513, d514) =AVERAGE(e505, e506, e507, e508, e509, e510, e511, e512, e513, e514) =AVERAGE(f505, f506, f507, f508, f509, f510, f511, f512, f513, f514) =AVERAGE(g505, g506, g507, g508, g509, g510, g511, g512, g513, g514) =AVERAGE(h505, h506, h507, h508, h509, h510, h511, h512, h513, h514) =AVERAGE(i505, i506, i507, i508, i509, i510, i511, i512, i513, i514) =AVERAGE(j505, j506, j507, j508, j509, j510, j511, j512, j513, j514) =AVERAGE(k505, k506, k507, k508, k509, k510, k511, k512, k513, k514) =AVERAGE(l505, l506, l507, l508, l509, l510, l511, l512, l513, l514) =AVERAGE(m505, m506, m507, m508, m509, m510, m511, m512, m513, m514) =AVERAGE(n505, n506, n507, n508, n509, n510, n511, n512, n513, n514) =AVERAGE(o505, o506, o507, o508, o509, o510, o511, o512, o513, o514) =AVERAGE(p505, p506, p507, p508, p509, p510, p511, p512, p513, p514) =AVERAGE(q505, q506, q507, q508, q509, q510, q511, q512, q513, q514) =AVERAGE(r505, r506, r507, r508, r509, r510, r511, r512, r513, r514) =AVERAGE(s505, s506, s507, s508, s509, s510, s511, s512, s513, s514) =AVERAGE(t505, t506, t507, t508, t509, t510, t511, t512, t513, t514) =STDEV.P(a505, a506, a507, a508, a509, a510, a511, a512, a513, a514) =STDEV.P(b505, b506, b507, b508, b509, b510, b511, b512, b513, b514) =STDEV.P(c505, c506, c507, c508, c509, c510, c511, c512, c513, c514) =STDEV.P(d505, d506, d507, d508, d509, d510, d511, d512, d513, d514) =STDEV.P(e505, e506, e507, e508, e509, e510, e511, e512, e513, e514) =STDEV.P(f505, f506, f507, f508, f509, f510, f511, f512, f513, f514) =STDEV.P(g505, g506, g507, g508, g509, g510, g511, g512, g513, g514) =STDEV.P(h505, h506, h507, h508, h509, h510, h511, h512, h513, h514) =STDEV.P(i505, i506, i507, i508, i509, i510, i511, i512, i513, i514) =STDEV.P(j505, j506, j507, j508, j509, j510, j511, j512, j513, j514) =STDEV.P(k505, k506, k507, k508, k509, k510, k511, k512, k513, k514) =STDEV.P(l505, l506, l507, l508, l509, l510, l511, l512, l513, l514) =STDEV.P(m505, m506, m507, m508, m509, m510, m511, m512, m513, m514) =STDEV.P(n505, n506, n507, n508, n509, n510, n511, n512, n513, n514) =STDEV.P(o505, o506, o507, o508, o509, o510, o511, o512, o513, o514) =STDEV.P(p505, p506, p507, p508, p509, p510, p511, p512, p513, p514) =STDEV.P(q505, q506, q507, q508, q509, q510, q511, q512, q513, q514) =STDEV.P(r505, r506, r507, r508, r509, r510, r511, r512, r513, r514) =STDEV.P(s505, s506, s507, s508, s509, s510, s511, s512, s513, s514) =STDEV.P(t505, t506, t507, t508, t509, t510, t511, t512, t513, t514) +=AVERAGE(a515, a516, a517, a518, a519, a520, a521, a522, a523, a524) =AVERAGE(b515, b516, b517, b518, b519, b520, b521, b522, b523, b524) =AVERAGE(c515, c516, c517, c518, c519, c520, c521, c522, c523, c524) =AVERAGE(d515, d516, d517, d518, d519, d520, d521, d522, d523, d524) =AVERAGE(e515, e516, e517, e518, e519, e520, e521, e522, e523, e524) =AVERAGE(f515, f516, f517, f518, f519, f520, f521, f522, f523, f524) =AVERAGE(g515, g516, g517, g518, g519, g520, g521, g522, g523, g524) =AVERAGE(h515, h516, h517, h518, h519, h520, h521, h522, h523, h524) =AVERAGE(i515, i516, i517, i518, i519, i520, i521, i522, i523, i524) =AVERAGE(j515, j516, j517, j518, j519, j520, j521, j522, j523, j524) =AVERAGE(k515, k516, k517, k518, k519, k520, k521, k522, k523, k524) =AVERAGE(l515, l516, l517, l518, l519, l520, l521, l522, l523, l524) =AVERAGE(m515, m516, m517, m518, m519, m520, m521, m522, m523, m524) =AVERAGE(n515, n516, n517, n518, n519, n520, n521, n522, n523, n524) =AVERAGE(o515, o516, o517, o518, o519, o520, o521, o522, o523, o524) =AVERAGE(p515, p516, p517, p518, p519, p520, p521, p522, p523, p524) =AVERAGE(q515, q516, q517, q518, q519, q520, q521, q522, q523, q524) =AVERAGE(r515, r516, r517, r518, r519, r520, r521, r522, r523, r524) =AVERAGE(s515, s516, s517, s518, s519, s520, s521, s522, s523, s524) =AVERAGE(t515, t516, t517, t518, t519, t520, t521, t522, t523, t524) =STDEV.P(a515, a516, a517, a518, a519, a520, a521, a522, a523, a524) =STDEV.P(b515, b516, b517, b518, b519, b520, b521, b522, b523, b524) =STDEV.P(c515, c516, c517, c518, c519, c520, c521, c522, c523, c524) =STDEV.P(d515, d516, d517, d518, d519, d520, d521, d522, d523, d524) =STDEV.P(e515, e516, e517, e518, e519, e520, e521, e522, e523, e524) =STDEV.P(f515, f516, f517, f518, f519, f520, f521, f522, f523, f524) =STDEV.P(g515, g516, g517, g518, g519, g520, g521, g522, g523, g524) =STDEV.P(h515, h516, h517, h518, h519, h520, h521, h522, h523, h524) =STDEV.P(i515, i516, i517, i518, i519, i520, i521, i522, i523, i524) =STDEV.P(j515, j516, j517, j518, j519, j520, j521, j522, j523, j524) =STDEV.P(k515, k516, k517, k518, k519, k520, k521, k522, k523, k524) =STDEV.P(l515, l516, l517, l518, l519, l520, l521, l522, l523, l524) =STDEV.P(m515, m516, m517, m518, m519, m520, m521, m522, m523, m524) =STDEV.P(n515, n516, n517, n518, n519, n520, n521, n522, n523, n524) =STDEV.P(o515, o516, o517, o518, o519, o520, o521, o522, o523, o524) =STDEV.P(p515, p516, p517, p518, p519, p520, p521, p522, p523, p524) =STDEV.P(q515, q516, q517, q518, q519, q520, q521, q522, q523, q524) =STDEV.P(r515, r516, r517, r518, r519, r520, r521, r522, r523, r524) =STDEV.P(s515, s516, s517, s518, s519, s520, s521, s522, s523, s524) =STDEV.P(t515, t516, t517, t518, t519, t520, t521, t522, t523, t524) +=AVERAGE(a525, a526, a527, a528, a529, a530, a531, a532, a533, a534) =AVERAGE(b525, b526, b527, b528, b529, b530, b531, b532, b533, b534) =AVERAGE(c525, c526, c527, c528, c529, c530, c531, c532, c533, c534) =AVERAGE(d525, d526, d527, d528, d529, d530, d531, d532, d533, d534) =AVERAGE(e525, e526, e527, e528, e529, e530, e531, e532, e533, e534) =AVERAGE(f525, f526, f527, f528, f529, f530, f531, f532, f533, f534) =AVERAGE(g525, g526, g527, g528, g529, g530, g531, g532, g533, g534) =AVERAGE(h525, h526, h527, h528, h529, h530, h531, h532, h533, h534) =AVERAGE(i525, i526, i527, i528, i529, i530, i531, i532, i533, i534) =AVERAGE(j525, j526, j527, j528, j529, j530, j531, j532, j533, j534) =AVERAGE(k525, k526, k527, k528, k529, k530, k531, k532, k533, k534) =AVERAGE(l525, l526, l527, l528, l529, l530, l531, l532, l533, l534) =AVERAGE(m525, m526, m527, m528, m529, m530, m531, m532, m533, m534) =AVERAGE(n525, n526, n527, n528, n529, n530, n531, n532, n533, n534) =AVERAGE(o525, o526, o527, o528, o529, o530, o531, o532, o533, o534) =AVERAGE(p525, p526, p527, p528, p529, p530, p531, p532, p533, p534) =AVERAGE(q525, q526, q527, q528, q529, q530, q531, q532, q533, q534) =AVERAGE(r525, r526, r527, r528, r529, r530, r531, r532, r533, r534) =AVERAGE(s525, s526, s527, s528, s529, s530, s531, s532, s533, s534) =AVERAGE(t525, t526, t527, t528, t529, t530, t531, t532, t533, t534) =STDEV.P(a525, a526, a527, a528, a529, a530, a531, a532, a533, a534) =STDEV.P(b525, b526, b527, b528, b529, b530, b531, b532, b533, b534) =STDEV.P(c525, c526, c527, c528, c529, c530, c531, c532, c533, c534) =STDEV.P(d525, d526, d527, d528, d529, d530, d531, d532, d533, d534) =STDEV.P(e525, e526, e527, e528, e529, e530, e531, e532, e533, e534) =STDEV.P(f525, f526, f527, f528, f529, f530, f531, f532, f533, f534) =STDEV.P(g525, g526, g527, g528, g529, g530, g531, g532, g533, g534) =STDEV.P(h525, h526, h527, h528, h529, h530, h531, h532, h533, h534) =STDEV.P(i525, i526, i527, i528, i529, i530, i531, i532, i533, i534) =STDEV.P(j525, j526, j527, j528, j529, j530, j531, j532, j533, j534) =STDEV.P(k525, k526, k527, k528, k529, k530, k531, k532, k533, k534) =STDEV.P(l525, l526, l527, l528, l529, l530, l531, l532, l533, l534) =STDEV.P(m525, m526, m527, m528, m529, m530, m531, m532, m533, m534) =STDEV.P(n525, n526, n527, n528, n529, n530, n531, n532, n533, n534) =STDEV.P(o525, o526, o527, o528, o529, o530, o531, o532, o533, o534) =STDEV.P(p525, p526, p527, p528, p529, p530, p531, p532, p533, p534) =STDEV.P(q525, q526, q527, q528, q529, q530, q531, q532, q533, q534) =STDEV.P(r525, r526, r527, r528, r529, r530, r531, r532, r533, r534) =STDEV.P(s525, s526, s527, s528, s529, s530, s531, s532, s533, s534) =STDEV.P(t525, t526, t527, t528, t529, t530, t531, t532, t533, t534) +=AVERAGE(a535, a536, a537, a538, a539, a540, a541, a542, a543, a544) =AVERAGE(b535, b536, b537, b538, b539, b540, b541, b542, b543, b544) =AVERAGE(c535, c536, c537, c538, c539, c540, c541, c542, c543, c544) =AVERAGE(d535, d536, d537, d538, d539, d540, d541, d542, d543, d544) =AVERAGE(e535, e536, e537, e538, e539, e540, e541, e542, e543, e544) =AVERAGE(f535, f536, f537, f538, f539, f540, f541, f542, f543, f544) =AVERAGE(g535, g536, g537, g538, g539, g540, g541, g542, g543, g544) =AVERAGE(h535, h536, h537, h538, h539, h540, h541, h542, h543, h544) =AVERAGE(i535, i536, i537, i538, i539, i540, i541, i542, i543, i544) =AVERAGE(j535, j536, j537, j538, j539, j540, j541, j542, j543, j544) =AVERAGE(k535, k536, k537, k538, k539, k540, k541, k542, k543, k544) =AVERAGE(l535, l536, l537, l538, l539, l540, l541, l542, l543, l544) =AVERAGE(m535, m536, m537, m538, m539, m540, m541, m542, m543, m544) =AVERAGE(n535, n536, n537, n538, n539, n540, n541, n542, n543, n544) =AVERAGE(o535, o536, o537, o538, o539, o540, o541, o542, o543, o544) =AVERAGE(p535, p536, p537, p538, p539, p540, p541, p542, p543, p544) =AVERAGE(q535, q536, q537, q538, q539, q540, q541, q542, q543, q544) =AVERAGE(r535, r536, r537, r538, r539, r540, r541, r542, r543, r544) =AVERAGE(s535, s536, s537, s538, s539, s540, s541, s542, s543, s544) =AVERAGE(t535, t536, t537, t538, t539, t540, t541, t542, t543, t544) =STDEV.P(a535, a536, a537, a538, a539, a540, a541, a542, a543, a544) =STDEV.P(b535, b536, b537, b538, b539, b540, b541, b542, b543, b544) =STDEV.P(c535, c536, c537, c538, c539, c540, c541, c542, c543, c544) =STDEV.P(d535, d536, d537, d538, d539, d540, d541, d542, d543, d544) =STDEV.P(e535, e536, e537, e538, e539, e540, e541, e542, e543, e544) =STDEV.P(f535, f536, f537, f538, f539, f540, f541, f542, f543, f544) =STDEV.P(g535, g536, g537, g538, g539, g540, g541, g542, g543, g544) =STDEV.P(h535, h536, h537, h538, h539, h540, h541, h542, h543, h544) =STDEV.P(i535, i536, i537, i538, i539, i540, i541, i542, i543, i544) =STDEV.P(j535, j536, j537, j538, j539, j540, j541, j542, j543, j544) =STDEV.P(k535, k536, k537, k538, k539, k540, k541, k542, k543, k544) =STDEV.P(l535, l536, l537, l538, l539, l540, l541, l542, l543, l544) =STDEV.P(m535, m536, m537, m538, m539, m540, m541, m542, m543, m544) =STDEV.P(n535, n536, n537, n538, n539, n540, n541, n542, n543, n544) =STDEV.P(o535, o536, o537, o538, o539, o540, o541, o542, o543, o544) =STDEV.P(p535, p536, p537, p538, p539, p540, p541, p542, p543, p544) =STDEV.P(q535, q536, q537, q538, q539, q540, q541, q542, q543, q544) =STDEV.P(r535, r536, r537, r538, r539, r540, r541, r542, r543, r544) =STDEV.P(s535, s536, s537, s538, s539, s540, s541, s542, s543, s544) =STDEV.P(t535, t536, t537, t538, t539, t540, t541, t542, t543, t544) +=AVERAGE(a545, a546, a547, a548, a549, a550, a551, a552, a553, a554) =AVERAGE(b545, b546, b547, b548, b549, b550, b551, b552, b553, b554) =AVERAGE(c545, c546, c547, c548, c549, c550, c551, c552, c553, c554) =AVERAGE(d545, d546, d547, d548, d549, d550, d551, d552, d553, d554) =AVERAGE(e545, e546, e547, e548, e549, e550, e551, e552, e553, e554) =AVERAGE(f545, f546, f547, f548, f549, f550, f551, f552, f553, f554) =AVERAGE(g545, g546, g547, g548, g549, g550, g551, g552, g553, g554) =AVERAGE(h545, h546, h547, h548, h549, h550, h551, h552, h553, h554) =AVERAGE(i545, i546, i547, i548, i549, i550, i551, i552, i553, i554) =AVERAGE(j545, j546, j547, j548, j549, j550, j551, j552, j553, j554) =AVERAGE(k545, k546, k547, k548, k549, k550, k551, k552, k553, k554) =AVERAGE(l545, l546, l547, l548, l549, l550, l551, l552, l553, l554) =AVERAGE(m545, m546, m547, m548, m549, m550, m551, m552, m553, m554) =AVERAGE(n545, n546, n547, n548, n549, n550, n551, n552, n553, n554) =AVERAGE(o545, o546, o547, o548, o549, o550, o551, o552, o553, o554) =AVERAGE(p545, p546, p547, p548, p549, p550, p551, p552, p553, p554) =AVERAGE(q545, q546, q547, q548, q549, q550, q551, q552, q553, q554) =AVERAGE(r545, r546, r547, r548, r549, r550, r551, r552, r553, r554) =AVERAGE(s545, s546, s547, s548, s549, s550, s551, s552, s553, s554) =AVERAGE(t545, t546, t547, t548, t549, t550, t551, t552, t553, t554) =STDEV.P(a545, a546, a547, a548, a549, a550, a551, a552, a553, a554) =STDEV.P(b545, b546, b547, b548, b549, b550, b551, b552, b553, b554) =STDEV.P(c545, c546, c547, c548, c549, c550, c551, c552, c553, c554) =STDEV.P(d545, d546, d547, d548, d549, d550, d551, d552, d553, d554) =STDEV.P(e545, e546, e547, e548, e549, e550, e551, e552, e553, e554) =STDEV.P(f545, f546, f547, f548, f549, f550, f551, f552, f553, f554) =STDEV.P(g545, g546, g547, g548, g549, g550, g551, g552, g553, g554) =STDEV.P(h545, h546, h547, h548, h549, h550, h551, h552, h553, h554) =STDEV.P(i545, i546, i547, i548, i549, i550, i551, i552, i553, i554) =STDEV.P(j545, j546, j547, j548, j549, j550, j551, j552, j553, j554) =STDEV.P(k545, k546, k547, k548, k549, k550, k551, k552, k553, k554) =STDEV.P(l545, l546, l547, l548, l549, l550, l551, l552, l553, l554) =STDEV.P(m545, m546, m547, m548, m549, m550, m551, m552, m553, m554) =STDEV.P(n545, n546, n547, n548, n549, n550, n551, n552, n553, n554) =STDEV.P(o545, o546, o547, o548, o549, o550, o551, o552, o553, o554) =STDEV.P(p545, p546, p547, p548, p549, p550, p551, p552, p553, p554) =STDEV.P(q545, q546, q547, q548, q549, q550, q551, q552, q553, q554) =STDEV.P(r545, r546, r547, r548, r549, r550, r551, r552, r553, r554) =STDEV.P(s545, s546, s547, s548, s549, s550, s551, s552, s553, s554) =STDEV.P(t545, t546, t547, t548, t549, t550, t551, t552, t553, t554) +=AVERAGE(a555, a556, a557, a558, a559, a560, a561, a562, a563, a564) =AVERAGE(b555, b556, b557, b558, b559, b560, b561, b562, b563, b564) =AVERAGE(c555, c556, c557, c558, c559, c560, c561, c562, c563, c564) =AVERAGE(d555, d556, d557, d558, d559, d560, d561, d562, d563, d564) =AVERAGE(e555, e556, e557, e558, e559, e560, e561, e562, e563, e564) =AVERAGE(f555, f556, f557, f558, f559, f560, f561, f562, f563, f564) =AVERAGE(g555, g556, g557, g558, g559, g560, g561, g562, g563, g564) =AVERAGE(h555, h556, h557, h558, h559, h560, h561, h562, h563, h564) =AVERAGE(i555, i556, i557, i558, i559, i560, i561, i562, i563, i564) =AVERAGE(j555, j556, j557, j558, j559, j560, j561, j562, j563, j564) =AVERAGE(k555, k556, k557, k558, k559, k560, k561, k562, k563, k564) =AVERAGE(l555, l556, l557, l558, l559, l560, l561, l562, l563, l564) =AVERAGE(m555, m556, m557, m558, m559, m560, m561, m562, m563, m564) =AVERAGE(n555, n556, n557, n558, n559, n560, n561, n562, n563, n564) =AVERAGE(o555, o556, o557, o558, o559, o560, o561, o562, o563, o564) =AVERAGE(p555, p556, p557, p558, p559, p560, p561, p562, p563, p564) =AVERAGE(q555, q556, q557, q558, q559, q560, q561, q562, q563, q564) =AVERAGE(r555, r556, r557, r558, r559, r560, r561, r562, r563, r564) =AVERAGE(s555, s556, s557, s558, s559, s560, s561, s562, s563, s564) =AVERAGE(t555, t556, t557, t558, t559, t560, t561, t562, t563, t564) =STDEV.P(a555, a556, a557, a558, a559, a560, a561, a562, a563, a564) =STDEV.P(b555, b556, b557, b558, b559, b560, b561, b562, b563, b564) =STDEV.P(c555, c556, c557, c558, c559, c560, c561, c562, c563, c564) =STDEV.P(d555, d556, d557, d558, d559, d560, d561, d562, d563, d564) =STDEV.P(e555, e556, e557, e558, e559, e560, e561, e562, e563, e564) =STDEV.P(f555, f556, f557, f558, f559, f560, f561, f562, f563, f564) =STDEV.P(g555, g556, g557, g558, g559, g560, g561, g562, g563, g564) =STDEV.P(h555, h556, h557, h558, h559, h560, h561, h562, h563, h564) =STDEV.P(i555, i556, i557, i558, i559, i560, i561, i562, i563, i564) =STDEV.P(j555, j556, j557, j558, j559, j560, j561, j562, j563, j564) =STDEV.P(k555, k556, k557, k558, k559, k560, k561, k562, k563, k564) =STDEV.P(l555, l556, l557, l558, l559, l560, l561, l562, l563, l564) =STDEV.P(m555, m556, m557, m558, m559, m560, m561, m562, m563, m564) =STDEV.P(n555, n556, n557, n558, n559, n560, n561, n562, n563, n564) =STDEV.P(o555, o556, o557, o558, o559, o560, o561, o562, o563, o564) =STDEV.P(p555, p556, p557, p558, p559, p560, p561, p562, p563, p564) =STDEV.P(q555, q556, q557, q558, q559, q560, q561, q562, q563, q564) =STDEV.P(r555, r556, r557, r558, r559, r560, r561, r562, r563, r564) =STDEV.P(s555, s556, s557, s558, s559, s560, s561, s562, s563, s564) =STDEV.P(t555, t556, t557, t558, t559, t560, t561, t562, t563, t564) +=AVERAGE(a565, a566, a567, a568, a569, a570, a571, a572, a573, a574) =AVERAGE(b565, b566, b567, b568, b569, b570, b571, b572, b573, b574) =AVERAGE(c565, c566, c567, c568, c569, c570, c571, c572, c573, c574) =AVERAGE(d565, d566, d567, d568, d569, d570, d571, d572, d573, d574) =AVERAGE(e565, e566, e567, e568, e569, e570, e571, e572, e573, e574) =AVERAGE(f565, f566, f567, f568, f569, f570, f571, f572, f573, f574) =AVERAGE(g565, g566, g567, g568, g569, g570, g571, g572, g573, g574) =AVERAGE(h565, h566, h567, h568, h569, h570, h571, h572, h573, h574) =AVERAGE(i565, i566, i567, i568, i569, i570, i571, i572, i573, i574) =AVERAGE(j565, j566, j567, j568, j569, j570, j571, j572, j573, j574) =AVERAGE(k565, k566, k567, k568, k569, k570, k571, k572, k573, k574) =AVERAGE(l565, l566, l567, l568, l569, l570, l571, l572, l573, l574) =AVERAGE(m565, m566, m567, m568, m569, m570, m571, m572, m573, m574) =AVERAGE(n565, n566, n567, n568, n569, n570, n571, n572, n573, n574) =AVERAGE(o565, o566, o567, o568, o569, o570, o571, o572, o573, o574) =AVERAGE(p565, p566, p567, p568, p569, p570, p571, p572, p573, p574) =AVERAGE(q565, q566, q567, q568, q569, q570, q571, q572, q573, q574) =AVERAGE(r565, r566, r567, r568, r569, r570, r571, r572, r573, r574) =AVERAGE(s565, s566, s567, s568, s569, s570, s571, s572, s573, s574) =AVERAGE(t565, t566, t567, t568, t569, t570, t571, t572, t573, t574) =STDEV.P(a565, a566, a567, a568, a569, a570, a571, a572, a573, a574) =STDEV.P(b565, b566, b567, b568, b569, b570, b571, b572, b573, b574) =STDEV.P(c565, c566, c567, c568, c569, c570, c571, c572, c573, c574) =STDEV.P(d565, d566, d567, d568, d569, d570, d571, d572, d573, d574) =STDEV.P(e565, e566, e567, e568, e569, e570, e571, e572, e573, e574) =STDEV.P(f565, f566, f567, f568, f569, f570, f571, f572, f573, f574) =STDEV.P(g565, g566, g567, g568, g569, g570, g571, g572, g573, g574) =STDEV.P(h565, h566, h567, h568, h569, h570, h571, h572, h573, h574) =STDEV.P(i565, i566, i567, i568, i569, i570, i571, i572, i573, i574) =STDEV.P(j565, j566, j567, j568, j569, j570, j571, j572, j573, j574) =STDEV.P(k565, k566, k567, k568, k569, k570, k571, k572, k573, k574) =STDEV.P(l565, l566, l567, l568, l569, l570, l571, l572, l573, l574) =STDEV.P(m565, m566, m567, m568, m569, m570, m571, m572, m573, m574) =STDEV.P(n565, n566, n567, n568, n569, n570, n571, n572, n573, n574) =STDEV.P(o565, o566, o567, o568, o569, o570, o571, o572, o573, o574) =STDEV.P(p565, p566, p567, p568, p569, p570, p571, p572, p573, p574) =STDEV.P(q565, q566, q567, q568, q569, q570, q571, q572, q573, q574) =STDEV.P(r565, r566, r567, r568, r569, r570, r571, r572, r573, r574) =STDEV.P(s565, s566, s567, s568, s569, s570, s571, s572, s573, s574) =STDEV.P(t565, t566, t567, t568, t569, t570, t571, t572, t573, t574) + +0 0 0.9618 0.9987 0 18.488 3.483 53 6 63 6 0.9618 0.9987 0 18.488 3.483 53 6 63 6 +0 0 0.954 0.9985 0 18.733 3.529 54 5 76 6 0.954 0.9985 0 18.733 3.529 54 5 76 6 +0 0 0.9557 0.9988 0 18.878 3.519 17 5 52 6 0.9557 0.9988 0 18.878 3.519 17 5 52 6 +0 0 0.9601 0.9986 0 18.423 3.468 72 6 25 5 0.9601 0.9986 0 18.423 3.468 72 6 25 5 +0 0 0.9588 0.9987 0 18.071 3.425 14 5 27 4 0.9588 0.9987 0 18.071 3.425 14 5 27 4 +0 0 0.9537 0.9985 0 18.658 3.483 9 3 49 6 0.9537 0.9985 0 18.658 3.483 9 3 49 6 +0 0 0.9579 0.9985 0 18.08 3.451 59 6 63 6 0.9579 0.9985 0 18.08 3.451 59 6 63 6 +0 0 0.9576 0.9986 0 18.254 3.481 38 5 64 6 0.9576 0.9986 0 18.254 3.481 38 5 64 6 +0 0 0.9576 0.9986 0 17.976 3.432 50 5 78 6 0.9576 0.9986 0 17.976 3.432 50 5 78 6 +0 0 0.9578 0.9987 0 17.898 3.44 8 3 43 6 0.9578 0.9987 0 17.898 3.44 8 3 43 6 +1 0 0.9906 0.9987 0 17.299 3.671 53 6 26 5 0.9762 0.9987 0 17.893 3.577 53 6 63 6 +1 0 0.9906 0.9985 0 17.523 3.717 54 5 47 5 0.9723 0.9985 0 18.128 3.623 54 5 76 6 +1 0 0.989 0.9988 0 17.116 3.655 17 5 36 8 0.9724 0.9988 0 17.997 3.587 17 5 52 6 +1 0 0.9882 0.9986 0 17.133 3.641 72 6 30 6 0.9741 0.9986 0 17.778 3.555 72 6 25 5 +1 0 0.9896 0.9987 0 16.917 3.591 9 4 93 8 0.9742 0.9987 0 17.494 3.508 9 4 27 4 +1 0 0.989 0.9985 0 17.172 3.644 9 3 13 3 0.9714 0.9985 0 17.915 3.563 9 3 49 6 +1 0 0.9907 0.9985 0 16.735 3.597 59 6 58 7 0.9743 0.9985 0 17.407 3.524 59 6 63 6 +1 0 0.9897 0.9986 0 16.772 3.617 38 5 40 7 0.9736 0.9986 0 17.513 3.549 38 5 64 6 +1 0 0.9904 0.9986 0 16.702 3.622 50 5 19 6 0.974 0.9986 0 17.339 3.527 50 5 78 6 +1 0 0.9915 0.9987 0 16.602 3.59 8 3 26 7 0.9747 0.9987 0 17.25 3.515 8 3 43 6 +2 0 0.9882 0.9987 0 17.491 3.888 53 6 68 9 0.9802 0.9987 0 17.759 3.681 53 6 63 6 +2 0 0.9896 0.9985 0 17.415 3.889 54 5 6 3 0.9781 0.9985 0 17.89 3.712 54 5 76 6 +2 0 0.9926 0.9988 0 16.345 3.72 17 5 76 10 0.9791 0.9988 0 17.446 3.631 17 5 52 6 +2 0 0.9898 0.9988 0 16.573 3.748 20 4 15 9 0.9794 0.9988 0 17.376 3.619 20 4 25 5 +2 0 0.9898 0.9987 0 16.483 3.739 9 4 49 7 0.9794 0.9987 0 17.157 3.585 9 4 27 4 +2 0 0.9908 0.9986 0 16.47 3.713 12 6 13 4 0.9778 0.9986 0 17.433 3.613 12 6 49 6 +2 0 0.9911 0.9986 0 16.362 3.753 11 3 17 4 0.9799 0.9986 0 17.059 3.6 11 3 63 6 +2 0 0.9905 0.9986 0 16.32 3.744 38 5 12 4 0.9793 0.9986 0 17.115 3.614 38 5 64 6 +2 0 0.9906 0.9986 0 16.304 3.778 50 5 32 6 0.9796 0.9986 0 16.994 3.611 50 5 78 6 +2 0 0.9876 0.9987 0 16.932 3.798 28 6 7 3 0.979 0.9987 0 17.144 3.609 28 6 43 6 +3 0 0.9912 0.9988 0 17.086 3.961 33 9 26 5 0.9829 0.9988 0 17.591 3.751 33 9 63 6 +3 0 0.9937 0.9985 0 16.535 3.907 24 7 25 5 0.982 0.9985 0 17.551 3.761 24 7 76 6 +3 0 0.993 0.9989 0 15.995 3.833 10 6 45 7 0.9826 0.9989 0 17.084 3.682 10 6 52 6 +3 0 0.9918 0.9988 0 16.492 3.863 20 4 21 4 0.9825 0.9988 0 17.155 3.68 20 4 25 5 +3 0 0.9926 0.9987 0 16.064 3.856 9 4 25 6 0.9827 0.9987 0 16.884 3.653 9 4 27 4 +3 0 0.9918 0.9986 0 16.182 3.846 12 6 41 7 0.9813 0.9986 0 17.12 3.671 12 6 49 6 +3 0 0.9928 0.9987 0 16.128 3.899 53 9 29 5 0.9831 0.9987 0 16.826 3.675 53 9 63 6 +3 0 0.9937 0.9986 0 16.053 3.893 44 8 10 4 0.9829 0.9986 0 16.85 3.684 44 8 64 6 +3 0 0.9924 0.9987 0 15.969 3.86 10 5 20 7 0.9828 0.9987 0 16.738 3.673 10 5 78 6 +3 0 0.9912 0.9987 0 16.372 3.831 28 6 16 5 0.982 0.9987 0 16.951 3.665 28 6 43 6 +4 0 0.9928 0.9988 0 16.699 4.059 33 9 35 6 0.9849 0.9988 0 17.412 3.812 33 9 63 6 +4 0 0.9934 0.9985 0 16.304 3.996 24 7 14 5 0.9843 0.9985 0 17.302 3.808 24 7 76 6 +4 0 0.9904 0.9989 0 16.032 3.932 10 6 39 9 0.9841 0.9989 0 16.873 3.732 10 6 52 6 +4 0 0.991 0.9988 0 16.077 3.901 20 4 66 9 0.9842 0.9988 0 16.94 3.724 20 4 25 5 +4 0 0.9919 0.9987 0 15.75 3.967 9 4 57 10 0.9845 0.9987 0 16.657 3.716 9 4 27 4 +4 0 0.9926 0.9988 0 16.077 3.952 3 1 35 6 0.9836 0.9988 0 16.912 3.728 3 1 49 6 +4 0 0.9914 0.9987 0 15.895 4.008 53 9 30 6 0.9848 0.9987 0 16.64 3.742 53 9 63 6 +4 0 0.9919 0.9988 0 15.992 3.963 19 8 28 7 0.9847 0.9988 0 16.678 3.74 19 8 64 6 +4 0 0.9936 0.9987 0 15.385 3.896 3 1 63 6 0.985 0.9987 0 16.467 3.718 3 1 78 6 +4 0 0.9924 0.9987 0 16.449 3.926 28 6 36 9 0.9841 0.9987 0 16.851 3.717 28 6 43 6 +5 0 0.9928 0.9988 0 15.972 4.063 33 9 10 6 0.9862 0.9988 0 17.172 3.854 33 9 63 6 +5 0 0.9914 0.9987 0 16.237 4.083 5 3 21 8 0.9854 0.9987 0 17.124 3.854 5 3 76 6 +5 0 0.9922 0.9989 0 15.704 3.992 10 6 86 10 0.9855 0.9989 0 16.678 3.775 10 6 52 6 +5 0 0.9918 0.9988 0 16.193 4.008 20 4 46 8 0.9855 0.9988 0 16.815 3.772 20 4 25 5 +5 0 0.9942 0.9987 0 15.799 4.079 12 4 43 8 0.9861 0.9987 0 16.514 3.776 12 4 27 4 +5 0 0.9928 0.9988 0 15.702 3.999 3 1 30 9 0.9851 0.9988 0 16.71 3.773 3 1 49 6 +5 0 0.9928 0.9987 0 15.747 4.087 53 9 62 8 0.9861 0.9987 0 16.491 3.799 53 9 63 6 +5 0 0.9939 0.9988 0 15.912 4.016 19 8 35 9 0.9862 0.9988 0 16.55 3.786 19 8 64 6 +5 0 0.9938 0.9987 0 14.804 3.881 3 1 58 9 0.9864 0.9987 0 16.19 3.745 3 1 78 6 +5 0 0.9908 0.9987 0 16.262 4.024 28 6 75 9 0.9852 0.9987 0 16.752 3.768 28 6 43 6 +6 0 0.9942 0.9988 0 15.95 4.146 33 9 96 10 0.9874 0.9988 0 16.998 3.896 33 9 63 6 +6 0 0.9922 0.9987 0 15.661 4.084 5 3 31 7 0.9864 0.9987 0 16.915 3.887 5 3 76 6 +6 0 0.9948 0.9989 0 15.468 4 10 6 11 4 0.9868 0.9989 0 16.505 3.807 10 6 52 6 +6 0 0.9936 0.9988 0 15.933 4.077 20 4 12 5 0.9866 0.9988 0 16.689 3.815 20 4 25 5 +6 0 0.994 0.9989 0 15.569 4.158 51 11 75 9 0.9872 0.9989 0 16.379 3.831 51 11 27 4 +6 0 0.9914 0.9988 0 15.493 4.098 3 1 33 6 0.986 0.9988 0 16.536 3.819 3 1 49 6 +6 0 0.9908 0.9987 0 15.954 4.19 53 9 82 14 0.9868 0.9987 0 16.414 3.855 53 9 63 6 +6 0 0.9937 0.9988 0 15.425 4.063 12 6 22 5 0.9873 0.9988 0 16.39 3.825 12 6 64 6 +6 0 0.9938 0.9987 0 14.767 3.949 13 5 86 12 0.9875 0.9987 0 15.987 3.774 13 5 78 6 +6 0 0.994 0.9987 0 15.882 4.085 28 6 32 10 0.9865 0.9987 0 16.628 3.813 28 6 43 6 +7 0 0.9942 0.9989 0 15.586 4.146 29 6 9 4 0.9882 0.9989 0 16.821 3.927 29 6 63 6 +7 0 0.9933 0.9987 0 15.666 4.148 5 3 23 8 0.9873 0.9987 0 16.759 3.919 5 3 76 6 +7 0 0.9926 0.9989 0 15.19 4.054 10 6 48 9 0.9875 0.9989 0 16.341 3.838 10 6 52 6 +7 0 0.9934 0.9988 0 15.491 4.088 20 4 12 4 0.9875 0.9988 0 16.54 3.849 20 4 25 5 +7 0 0.9936 0.9989 0 15.579 4.251 51 11 13 5 0.988 0.9989 0 16.279 3.883 51 11 27 4 +7 0 0.9942 0.9988 0 14.749 4.071 3 1 98 13 0.9871 0.9988 0 16.313 3.851 3 1 49 6 +7 0 0.994 0.9987 0 15.706 4.211 53 9 24 5 0.9877 0.9987 0 16.326 3.9 53 9 63 6 +7 0 0.9937 0.9988 0 15 4.069 12 6 80 15 0.9881 0.9988 0 16.216 3.856 12 6 64 6 +7 0 0.994 0.9987 0 14.701 4.002 13 5 49 9 0.9883 0.9987 0 15.826 3.803 13 5 78 6 +7 0 0.9934 0.9987 0 15.537 4.106 28 6 59 9 0.9873 0.9987 0 16.492 3.85 28 6 43 6 +8 0 0.9949 0.9989 0 15.379 4.212 29 6 47 7 0.989 0.9989 0 16.661 3.959 29 6 63 6 +8 0 0.9928 0.9988 0 15.55 4.199 17 4 31 9 0.9879 0.9988 0 16.625 3.95 17 4 76 6 +8 0 0.9936 0.9989 0 14.864 4.069 10 6 21 6 0.9882 0.9989 0 16.177 3.864 10 6 52 6 +8 0 0.9964 0.9988 0 15.281 4.12 20 4 75 10 0.9885 0.9988 0 16.4 3.879 20 4 25 5 +8 0 0.9932 0.9989 0 15.5 4.307 51 11 7 3 0.9886 0.9989 0 16.193 3.93 51 11 27 4 +8 0 0.9928 0.9988 0 14.694 4.145 3 1 51 11 0.9877 0.9988 0 16.133 3.883 3 1 49 6 +8 0 0.9939 0.9989 0 15.574 4.287 25 5 53 9 0.9884 0.9989 0 16.242 3.943 25 5 63 6 +8 0 0.9926 0.9988 0 15.024 4.159 12 6 52 11 0.9886 0.9988 0 16.084 3.889 12 6 64 6 +8 0 0.9948 0.9987 0 13.911 3.975 13 5 13 6 0.989 0.9987 0 15.613 3.822 13 5 78 6 +8 0 0.994 0.9987 0 15.379 4.164 28 6 13 6 0.9881 0.9987 0 16.368 3.885 28 6 43 6 +9 0 0.9956 0.9989 0 15.077 4.218 29 6 37 10 0.9896 0.9989 0 16.503 3.985 29 6 63 6 +9 0 0.9937 0.9988 0 15.53 4.237 17 4 68 13 0.9884 0.9988 0 16.515 3.979 17 4 76 6 +9 0 0.9948 0.9989 0 14.486 4.052 10 6 13 5 0.9889 0.9989 0 16.008 3.883 10 6 52 6 +9 0 0.993 0.9988 0 14.91 4.099 20 4 53 11 0.9889 0.9988 0 16.251 3.901 20 4 25 5 +9 0 0.995 0.9989 0 14.905 4.277 51 11 75 9 0.9892 0.9989 0 16.064 3.965 51 11 27 4 +9 0 0.9922 0.9988 0 14.308 4.119 3 1 40 7 0.9881 0.9988 0 15.95 3.907 3 1 49 6 +9 0 0.992 0.9989 0 15.047 4.263 25 5 9 3 0.9887 0.9989 0 16.123 3.975 25 5 63 6 +9 0 0.9949 0.9988 0 14.702 4.172 12 6 10 4 0.9892 0.9988 0 15.945 3.918 12 6 64 6 +9 0 0.9938 0.9987 0 13.629 3.983 13 5 50 8 0.9895 0.9987 0 15.415 3.838 13 5 78 6 +9 0 0.9948 0.9987 0 14.474 4.075 28 6 28 6 0.9887 0.9987 0 16.179 3.904 28 6 43 6 +10 0 0.9948 0.9989 0 14.704 4.213 29 6 41 10 0.9901 0.9989 0 16.339 4.005 29 6 63 6 +10 0 0.9937 0.9988 0 15.895 4.351 17 4 40 6 0.9889 0.9988 0 16.459 4.013 17 4 76 6 +10 0 0.9952 0.9989 0 14.56 4.11 10 6 32 8 0.9894 0.9989 0 15.876 3.903 10 6 52 6 +10 0 0.9948 0.9988 0 14.955 4.195 20 4 63 9 0.9895 0.9988 0 16.133 3.928 20 4 25 5 +10 0 0.9941 0.9989 0 14.56 4.271 51 11 14 5 0.9897 0.9989 0 15.927 3.993 51 11 27 4 +10 0 0.9952 0.9988 0 14.254 4.156 3 1 35 12 0.9888 0.9988 0 15.796 3.93 3 1 49 6 +10 0 0.9938 0.9989 0 15.045 4.274 25 5 17 6 0.9892 0.9989 0 16.025 4.002 25 5 63 6 +10 0 0.9943 0.9988 0 14.754 4.19 12 6 32 8 0.9897 0.9988 0 15.837 3.942 12 6 64 6 +10 0 0.9952 0.9987 0 13.455 3.978 13 5 76 15 0.99 0.9987 0 15.237 3.851 13 5 78 6 +10 0 0.9944 0.9987 0 14.099 4.085 52 8 24 7 0.9892 0.9987 0 15.99 3.92 52 8 43 6 +11 0 0.9947 0.9989 0 14.516 4.244 29 6 23 6 0.9905 0.9989 0 16.187 4.025 29 6 63 6 +11 0 0.9947 0.9988 0 15.716 4.415 17 4 20 6 0.9894 0.9988 0 16.397 4.046 17 4 76 6 +11 0 0.9942 0.9989 0 14.541 4.202 23 10 31 9 0.9898 0.9989 0 15.765 3.928 23 10 52 6 +11 0 0.9932 0.9988 0 14.572 4.215 20 4 55 9 0.9898 0.9988 0 16.003 3.952 20 4 25 5 +11 0 0.9936 0.9989 0 14.562 4.318 51 11 44 7 0.99 0.9989 0 15.813 4.02 51 11 27 4 +11 0 0.9938 0.9988 0 14.176 4.186 3 1 52 14 0.9892 0.9988 0 15.661 3.951 3 1 49 6 +11 0 0.9942 0.9989 0 14.788 4.308 25 5 32 8 0.9896 0.9989 0 15.922 4.027 25 5 63 6 +11 0 0.9935 0.9988 0 14.705 4.231 18 9 58 7 0.99 0.9988 0 15.743 3.966 18 9 64 6 +11 0 0.9956 0.9987 0 13.125 3.949 13 5 58 12 0.9905 0.9987 0 15.061 3.859 13 5 78 6 +11 0 0.9946 0.9988 0 13.892 4.091 29 7 22 8 0.9897 0.9988 0 15.815 3.935 29 7 43 6 +12 0 0.9941 0.9989 0 14.579 4.314 29 6 15 5 0.9908 0.9989 0 16.063 4.048 29 6 63 6 +12 0 0.9923 0.9988 0 15.537 4.392 17 4 20 6 0.9896 0.9988 0 16.331 4.073 17 4 76 6 +12 0 0.995 0.9989 0 14.358 4.224 23 10 11 6 0.9902 0.9989 0 15.657 3.951 23 10 52 6 +12 0 0.9956 0.9988 0 14.218 4.172 20 4 51 8 0.9902 0.9988 0 15.866 3.969 20 4 25 5 +12 0 0.9946 0.9989 0 14.546 4.367 51 11 7 3 0.9904 0.9989 0 15.716 4.047 51 11 27 4 +12 0 0.994 0.9988 0 13.853 4.202 3 1 38 6 0.9896 0.9988 0 15.522 3.97 3 1 49 6 +12 0 0.9937 0.9989 0 14.301 4.281 25 5 56 10 0.9899 0.9989 0 15.797 4.047 25 5 63 6 +12 0 0.9939 0.9988 0 14.162 4.175 18 9 39 11 0.9903 0.9988 0 15.621 3.982 18 9 64 6 +12 0 0.9958 0.9987 0 12.723 3.901 13 5 31 9 0.9909 0.9987 0 14.881 3.862 13 5 78 6 +12 0 0.9952 0.9988 0 13.834 4.149 29 7 38 9 0.9901 0.9988 0 15.662 3.951 29 7 43 6 +13 0 0.9948 0.9989 0 14.089 4.274 29 6 68 11 0.991 0.9989 0 15.922 4.064 29 6 63 6 +13 0 0.9947 0.9988 0 15.273 4.407 17 4 53 9 0.99 0.9988 0 16.255 4.097 17 4 76 6 +13 0 0.994 0.9989 0 14.216 4.279 12 7 49 13 0.9905 0.9989 0 15.554 3.974 12 7 52 6 +13 0 0.9958 0.9988 0 14.021 4.172 20 4 51 9 0.9906 0.9988 0 15.734 3.983 20 4 25 5 +13 0 0.9954 0.9989 0 14.343 4.34 51 11 12 3 0.9907 0.9989 0 15.618 4.068 51 11 27 4 +13 0 0.9952 0.9988 0 13.773 4.224 3 1 72 13 0.99 0.9988 0 15.397 3.989 3 1 49 6 +13 0 0.9954 0.9989 0 14.178 4.305 25 5 54 15 0.9903 0.9989 0 15.681 4.065 25 5 63 6 +13 0 0.9947 0.9989 0 13.031 3.998 21 8 42 13 0.9906 0.9989 0 15.436 3.984 21 8 64 6 +13 0 0.9947 0.9987 0 12.663 3.927 13 5 44 5 0.9912 0.9987 0 14.722 3.867 13 5 78 6 +13 0 0.9948 0.9988 0 13.781 4.196 29 7 21 9 0.9904 0.9988 0 15.528 3.969 29 7 43 6 +14 0 0.9932 0.9989 0 14.164 4.296 29 6 25 6 0.9912 0.9989 0 15.805 4.079 29 6 63 6 +14 0 0.995 0.9988 0 15.14 4.376 17 4 59 14 0.9903 0.9988 0 16.181 4.115 17 4 76 6 +14 0 0.9942 0.9989 0 14.027 4.258 27 12 18 7 0.9908 0.9989 0 15.452 3.993 27 12 52 6 +14 0 0.9946 0.9988 0 13.912 4.207 20 4 38 9 0.9909 0.9988 0 15.612 3.998 20 4 25 5 +14 0 0.9946 0.9989 0 13.754 4.274 51 11 40 10 0.991 0.9989 0 15.494 4.081 51 11 27 4 +14 0 0.9948 0.9988 0 13.489 4.22 3 1 96 11 0.9903 0.9988 0 15.27 4.004 3 1 49 6 +14 0 0.9956 0.9989 0 13.823 4.281 29 6 27 8 0.9907 0.9989 0 15.558 4.08 29 6 63 6 +14 0 0.9955 0.9989 0 12.819 3.967 21 8 36 9 0.991 0.9989 0 15.262 3.982 21 8 64 6 +14 0 0.9951 0.9987 0 12.275 3.858 13 5 28 8 0.9914 0.9987 0 14.559 3.866 13 5 78 6 +14 0 0.9946 0.9988 0 13.507 4.192 29 7 25 7 0.9907 0.9988 0 15.393 3.983 29 7 43 6 +15 0 0.996 0.9989 0 13.747 4.248 28 8 21 9 0.9915 0.9989 0 15.677 4.09 28 8 63 6 +15 0 0.9932 0.9988 0 14.872 4.384 17 4 15 5 0.9905 0.9988 0 16.099 4.132 17 4 76 6 +15 0 0.9942 0.9989 0 13.526 4.228 27 12 16 6 0.991 0.9989 0 15.332 4.008 27 12 52 6 +15 0 0.9944 0.9988 0 13.868 4.233 20 4 13 5 0.9911 0.9988 0 15.503 4.013 20 4 25 5 +15 0 0.9962 0.9989 0 13.935 4.336 45 10 26 8 0.9913 0.9989 0 15.396 4.097 45 10 27 4 +15 0 0.9936 0.9988 0 13.243 4.203 3 1 30 7 0.9905 0.9988 0 15.143 4.016 3 1 49 6 +15 0 0.9954 0.9989 0 13.445 4.223 29 6 44 10 0.991 0.9989 0 15.425 4.089 29 6 63 6 +15 0 0.9949 0.9989 0 12.902 4.047 21 8 45 10 0.9912 0.9989 0 15.114 3.986 21 8 64 6 +15 0 0.9952 0.9987 0 12.184 3.872 13 5 14 7 0.9917 0.9987 0 14.411 3.866 13 5 78 6 +15 0 0.9952 0.9988 0 13.105 4.132 29 7 22 9 0.991 0.9988 0 15.25 3.993 29 7 43 6 +16 0 0.9965 0.9989 0 13.55 4.23 28 8 16 7 0.9918 0.9989 0 15.551 4.098 28 8 63 6 +16 0 0.9954 0.9988 0 14.899 4.417 17 4 34 13 0.9908 0.9988 0 16.029 4.149 17 4 76 6 +16 0 0.9952 0.9989 0 13.24 4.194 27 12 18 7 0.9912 0.9989 0 15.209 4.019 27 12 52 6 +16 0 0.9932 0.9988 0 13.624 4.188 20 4 5 2 0.9912 0.9988 0 15.393 4.023 20 4 25 5 +16 0 0.9952 0.9989 0 13.858 4.324 45 10 67 15 0.9915 0.9989 0 15.306 4.111 45 10 27 4 +16 0 0.9932 0.9988 0 13.059 4.196 3 1 11 4 0.9907 0.9988 0 15.021 4.027 3 1 49 6 +16 0 0.9958 0.9989 0 13.511 4.248 29 6 27 9 0.9913 0.9989 0 15.313 4.098 29 6 63 6 +16 0 0.9955 0.9989 0 12.522 4.01 21 8 51 14 0.9915 0.9989 0 14.962 3.988 21 8 64 6 +16 0 0.9946 0.9987 0 12.159 3.875 13 5 42 9 0.9919 0.9987 0 14.278 3.867 13 5 78 6 +16 0 0.9946 0.9988 0 13.099 4.145 29 7 17 8 0.9912 0.9988 0 15.124 4.002 29 7 43 6 +17 0 0.9954 0.9989 0 13.191 4.178 28 8 24 6 0.992 0.9989 0 15.42 4.102 28 8 63 6 +17 0 0.994 0.9988 0 14.241 4.282 17 4 33 10 0.991 0.9988 0 15.929 4.156 17 4 76 6 +17 0 0.995 0.9989 0 13.418 4.277 27 12 29 8 0.9914 0.9989 0 15.109 4.033 27 12 52 6 +17 0 0.9942 0.9988 0 13.246 4.132 20 4 26 8 0.9914 0.9988 0 15.274 4.029 20 4 25 5 +17 0 0.9956 0.9989 0 13.472 4.282 45 10 60 11 0.9917 0.9989 0 15.204 4.12 45 10 27 4 +17 0 0.995 0.9988 0 12.792 4.166 3 1 21 9 0.9909 0.9988 0 14.897 4.035 3 1 49 6 +17 0 0.9945 0.9989 0 13.411 4.229 29 6 67 17 0.9914 0.9989 0 15.207 4.105 29 6 63 6 +17 0 0.9947 0.9989 0 12.442 4.027 21 8 28 9 0.9916 0.9989 0 14.822 3.99 21 8 64 6 +17 0 0.9962 0.9987 0 12.003 3.868 13 5 65 10 0.9921 0.9987 0 14.152 3.867 13 5 78 6 +17 0 0.9954 0.9988 0 12.674 4.111 29 7 47 9 0.9914 0.9988 0 14.988 4.008 29 7 43 6 +18 0 0.9964 0.9989 0 13.668 4.291 28 8 34 9 0.9922 0.9989 0 15.328 4.112 28 8 63 6 +18 0 0.996 0.9988 0 14.244 4.307 17 4 72 17 0.9912 0.9988 0 15.841 4.164 17 4 76 6 +18 0 0.9962 0.9989 0 13.736 4.36 27 12 18 6 0.9917 0.9989 0 15.037 4.05 27 12 52 6 +18 0 0.9961 0.9988 0 12.653 4.057 20 4 112 17 0.9916 0.9988 0 15.136 4.031 20 4 25 5 +18 0 0.994 0.9989 0 13.209 4.215 45 10 23 6 0.9919 0.9989 0 15.099 4.125 45 10 27 4 +18 0 0.9956 0.9988 0 12.765 4.148 10 3 17 5 0.9912 0.9988 0 14.785 4.041 10 3 49 6 +18 0 0.9954 0.9989 0 13.191 4.221 28 6 87 14 0.9917 0.9989 0 15.101 4.111 28 6 63 6 +18 0 0.9951 0.9989 0 12.25 3.993 21 8 26 10 0.9918 0.9989 0 14.686 3.99 21 8 64 6 +18 0 0.9968 0.9987 0 11.656 3.845 13 5 50 13 0.9923 0.9987 0 14.021 3.866 13 5 78 6 +18 0 0.9962 0.9988 0 12.503 4.104 29 7 39 12 0.9917 0.9988 0 14.857 4.013 29 7 43 6 +19 0 0.9976 0.9989 0 13.281 4.222 19 6 132 13 0.9925 0.9989 0 15.226 4.118 19 6 63 6 +19 0 0.9962 0.9988 0 14.088 4.322 17 4 61 13 0.9915 0.9988 0 15.753 4.172 17 4 76 6 +19 0 0.9952 0.9989 0 13.21 4.264 27 12 21 6 0.9919 0.9989 0 14.946 4.061 27 12 52 6 +19 0 0.995 0.9988 0 12.72 4.136 20 4 49 10 0.9918 0.9988 0 15.015 4.036 20 4 25 5 +19 0 0.9956 0.9989 0 13.235 4.273 45 10 47 15 0.992 0.9989 0 15.006 4.133 45 10 27 4 +19 0 0.997 0.9988 0 12.397 4.103 10 3 33 10 0.9914 0.9988 0 14.665 4.044 10 3 49 6 +19 0 0.9954 0.9989 0 12.773 4.155 28 6 46 11 0.9918 0.9989 0 14.985 4.114 28 6 63 6 +19 0 0.9955 0.9989 0 12.029 3.928 21 8 12 5 0.992 0.9989 0 14.554 3.987 21 8 64 6 +19 0 0.9968 0.9987 0 11.61 3.856 13 5 38 8 0.9926 0.9987 0 13.9 3.865 13 5 78 6 +19 0 0.9944 0.9988 0 12.425 4.073 29 7 33 10 0.9918 0.9988 0 14.735 4.016 29 7 43 6 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4 76 6 +21 0 0.9952 0.9989 0 12.994 4.26 27 12 21 5 0.9921 0.9989 0 14.776 4.079 27 12 52 6 +21 0 0.9958 0.9988 0 11.93 4.012 20 4 15 7 0.9922 0.9988 0 14.748 4.037 20 4 25 5 +21 0 0.9959 0.9989 0 12.694 4.214 45 10 24 10 0.9924 0.9989 0 14.8 4.14 45 10 27 4 +21 0 0.9964 0.9988 0 12.056 4.08 10 3 10 3 0.9918 0.9988 0 14.433 4.046 10 3 49 6 +21 0 0.9958 0.9989 0 12.437 4.103 28 6 18 7 0.9922 0.9989 0 14.761 4.113 28 6 63 6 +21 0 0.9969 0.9989 0 11.648 3.843 21 8 14 5 0.9924 0.9989 0 14.289 3.974 21 8 64 6 +21 0 0.996 0.9987 0 11.108 3.74 13 5 46 8 0.9929 0.9987 0 13.655 3.856 13 5 78 6 +21 0 0.9965 0.9988 0 12.417 4.145 29 7 43 7 0.9922 0.9988 0 14.525 4.025 29 7 43 6 +22 0 0.996 0.9989 0 12.348 4.027 19 6 23 11 0.9929 0.9989 0 14.876 4.114 19 6 63 6 +22 0 0.9973 0.9988 0 13.532 4.331 17 4 44 13 0.9921 0.9988 0 15.502 4.198 17 4 76 6 +22 0 0.995 0.9989 0 12.768 4.231 27 12 38 10 0.9922 0.9989 0 14.689 4.086 27 12 52 6 +22 0 0.9958 0.9988 0 11.881 4.041 20 4 48 15 0.9923 0.9988 0 14.624 4.037 20 4 25 5 +22 0 0.9957 0.9989 0 12.449 4.174 45 10 54 13 0.9925 0.9989 0 14.698 4.142 45 10 27 4 +22 0 0.9954 0.9988 0 11.846 4.018 10 3 20 8 0.992 0.9988 0 14.32 4.045 10 3 49 6 +22 0 0.9964 0.9989 0 12.391 4.12 28 6 39 11 0.9924 0.9989 0 14.658 4.113 28 6 63 6 +22 0 0.9971 0.9989 0 11.258 3.761 21 8 39 10 0.9926 0.9989 0 14.157 3.964 21 8 64 6 +22 0 0.9958 0.9987 0 11.177 3.814 13 5 27 9 0.9931 0.9987 0 13.547 3.854 13 5 78 6 +22 0 0.9964 0.9988 0 12.133 4.122 29 7 6 3 0.9924 0.9988 0 14.421 4.03 29 7 43 6 +23 0 0.9959 0.9989 0 12.097 4.014 19 6 34 10 0.993 0.9989 0 14.761 4.11 19 6 63 6 +23 0 0.9959 0.9988 0 13.183 4.273 17 4 37 10 0.9922 0.9988 0 15.405 4.201 17 4 76 6 +23 0 0.9968 0.9989 0 12.786 4.245 24 10 37 15 0.9924 0.9989 0 14.61 4.093 24 10 52 6 +23 0 0.9964 0.9988 0 11.846 4.022 20 4 8 3 0.9925 0.9988 0 14.508 4.036 20 4 25 5 +23 0 0.9971 0.9989 0 12.263 4.143 45 10 56 11 0.9927 0.9989 0 14.596 4.142 45 10 27 4 +23 0 0.9944 0.9988 0 11.863 4.021 8 4 17 5 0.9921 0.9988 0 14.218 4.044 8 4 49 6 +23 0 0.9962 0.9989 0 12.759 4.23 28 6 36 8 0.9925 0.9989 0 14.579 4.118 28 6 63 6 +23 0 0.9971 0.9989 0 11.374 3.793 21 8 32 11 0.9928 0.9989 0 14.041 3.957 21 8 64 6 +23 0 0.9962 0.9987 0 10.88 3.764 13 5 33 8 0.9932 0.9987 0 13.436 3.851 13 5 78 6 +23 0 0.9966 0.9988 0 11.629 4.017 29 7 15 6 0.9926 0.9988 0 14.305 4.029 29 7 43 6 +24 0 0.9949 0.9989 0 11.879 4.003 19 6 27 8 0.9931 0.9989 0 14.645 4.105 19 6 63 6 +24 0 0.9956 0.9988 0 12.949 4.233 17 4 23 8 0.9923 0.9988 0 15.307 4.203 17 4 76 6 +24 0 0.9956 0.9989 0 12.569 4.216 24 10 27 8 0.9926 0.9989 0 14.528 4.098 24 10 52 6 +24 0 0.9962 0.9988 0 11.66 3.976 20 4 39 8 0.9926 0.9988 0 14.394 4.034 20 4 25 5 +24 0 0.9943 0.9989 0 12.035 4.105 45 10 26 9 0.9928 0.9989 0 14.494 4.14 45 10 27 4 +24 0 0.9968 0.9988 0 11.667 3.992 8 4 22 6 0.9923 0.9988 0 14.116 4.041 8 4 49 6 +24 0 0.9952 0.9989 0 12.433 4.152 28 6 23 7 0.9927 0.9989 0 14.493 4.12 28 6 63 6 +24 0 0.9959 0.9989 0 11.138 3.74 21 8 58 13 0.993 0.9989 0 13.925 3.949 21 8 64 6 +24 0 0.9962 0.9987 0 10.549 3.722 3 1 34 8 0.9933 0.9987 0 13.32 3.846 3 1 78 6 +24 0 0.996 0.9988 0 11.889 4.1 29 7 21 8 0.9927 0.9988 0 14.208 4.032 29 7 43 6 +25 0 0.9958 0.9989 0 11.695 3.958 19 6 27 8 0.9932 0.9989 0 14.532 4.1 19 6 63 6 +25 0 0.9962 0.9988 0 13.152 4.291 17 4 10 4 0.9925 0.9988 0 15.224 4.206 17 4 76 6 +25 0 0.995 0.9989 0 12.328 4.194 24 10 30 9 0.9927 0.9989 0 14.444 4.101 24 10 52 6 +25 0 0.9958 0.9989 0 11.377 3.938 12 6 8 4 0.9928 0.9989 0 14.278 4.03 12 6 25 5 +25 0 0.996 0.9989 0 11.871 4.083 20 8 16 8 0.9929 0.9989 0 14.393 4.138 20 8 27 4 +25 0 0.997 0.9988 0 11.66 4.019 8 4 39 10 0.9924 0.9988 0 14.021 4.041 8 4 49 6 +25 0 0.996 0.9989 0 12.021 4.064 28 6 63 12 0.9928 0.9989 0 14.398 4.117 28 6 63 6 +25 0 0.9967 0.9989 0 10.396 3.635 21 8 20 5 0.9931 0.9989 0 13.789 3.936 21 8 64 6 +25 0 0.996 0.9987 0 10.579 3.754 3 1 22 5 0.9934 0.9987 0 13.215 3.842 3 1 78 6 +25 0 0.9964 0.9988 0 11.804 4.109 29 7 28 9 0.9928 0.9988 0 14.116 4.035 29 7 43 6 +26 0 0.9962 0.9989 0 11.848 4.015 19 6 64 13 0.9933 0.9989 0 14.433 4.096 19 6 63 6 +26 0 0.996 0.9988 0 12.875 4.23 17 4 38 10 0.9926 0.9988 0 15.137 4.207 17 4 76 6 +26 0 0.9946 0.9989 0 11.859 4.092 26 12 31 9 0.9927 0.9989 0 14.348 4.101 26 12 52 6 +26 0 0.9952 0.9989 0 11.273 3.927 10 6 7 3 0.9929 0.9989 0 14.167 4.026 10 6 25 5 +26 0 0.9969 0.9989 0 11.714 4.031 20 8 13 5 0.993 0.9989 0 14.294 4.134 20 8 27 4 +26 0 0.9972 0.9988 0 11.493 3.973 8 4 47 11 0.9926 0.9988 0 13.928 4.038 8 4 49 6 +26 0 0.9958 0.9989 0 11.917 4.074 28 6 28 9 0.9929 0.9989 0 14.306 4.116 28 6 63 6 +26 0 0.9969 0.9989 0 10.464 3.683 21 8 22 7 0.9932 0.9989 0 13.666 3.927 21 8 64 6 +26 0 0.997 0.9987 0 10.524 3.746 3 1 11 4 0.9935 0.9987 0 13.115 3.838 3 1 78 6 +26 0 0.9962 0.9988 0 11.759 4.113 29 7 46 11 0.993 0.9988 0 14.029 4.038 29 7 43 6 +27 0 0.9968 0.9989 0 11.383 3.898 19 6 19 7 0.9935 0.9989 0 14.324 4.089 19 6 63 6 +27 0 0.9952 0.9988 0 12.416 4.162 17 4 19 6 0.9927 0.9988 0 15.04 4.205 17 4 76 6 +27 0 0.995 0.9989 0 11.308 3.961 26 12 8 3 0.9928 0.9989 0 14.239 4.096 26 12 52 6 +27 0 0.9956 0.9989 0 11.03 3.902 10 6 12 5 0.993 0.9989 0 14.055 4.022 10 6 25 5 +27 0 0.9965 0.9989 0 11.476 4.022 36 9 96 13 0.9932 0.9989 0 14.193 4.13 36 9 27 4 +27 0 0.9968 0.9988 0 11.551 3.992 8 4 38 6 0.9928 0.9988 0 13.843 4.036 8 4 49 6 +27 0 0.9974 0.9989 0 11.541 4.019 28 6 37 8 0.9931 0.9989 0 14.207 4.112 28 6 63 6 +27 0 0.9971 0.9989 0 10.384 3.679 21 8 40 8 0.9934 0.9989 0 13.549 3.918 21 8 64 6 +27 0 0.9958 0.9987 0 10.386 3.717 3 1 29 10 0.9936 0.9987 0 13.018 3.834 3 1 78 6 +27 0 0.9968 0.9988 0 11.647 4.066 29 7 22 6 0.9931 0.9988 0 13.944 4.039 29 7 43 6 +28 0 0.9972 0.9989 0 11.005 3.853 19 6 19 8 0.9936 0.9989 0 14.209 4.081 19 6 63 6 +28 0 0.996 0.9988 0 12.326 4.176 17 4 29 7 0.9928 0.9988 0 14.947 4.204 17 4 76 6 +28 0 0.9956 0.9989 0 11.192 3.961 26 12 37 11 0.9929 0.9989 0 14.134 4.091 26 12 52 6 +28 0 0.9968 0.9989 0 10.639 3.782 10 6 17 7 0.9931 0.9989 0 13.937 4.014 10 6 25 5 +28 0 0.997 0.9989 0 11.161 3.978 36 9 29 8 0.9933 0.9989 0 14.088 4.125 36 9 27 4 +28 0 0.996 0.9988 0 11.121 3.932 8 4 17 5 0.9929 0.9988 0 13.749 4.033 8 4 49 6 +28 0 0.9964 0.9989 0 11.39 4.002 28 6 18 5 0.9932 0.9989 0 14.11 4.109 28 6 63 6 +28 0 0.9965 0.9989 0 10.134 3.612 21 8 9 5 0.9935 0.9989 0 13.431 3.908 21 8 64 6 +28 0 0.9964 0.9987 0 10.357 3.752 3 1 24 11 0.9937 0.9987 0 12.926 3.831 3 1 78 6 +28 0 0.9964 0.9988 0 11.346 4.02 29 7 24 7 0.9932 0.9988 0 13.854 4.038 29 7 43 6 +29 0 0.9966 0.9989 0 11.062 3.875 19 6 34 10 0.9937 0.9989 0 14.104 4.074 19 6 63 6 +29 0 0.9958 0.9988 0 12.064 4.151 17 4 39 13 0.9929 0.9988 0 14.85 4.202 17 4 76 6 +29 0 0.9962 0.9989 0 10.973 3.917 26 12 15 7 0.993 0.9989 0 14.029 4.086 26 12 52 6 +29 0 0.9958 0.9989 0 10.48 3.766 10 6 20 5 0.9932 0.9989 0 13.822 4.005 10 6 25 5 +29 0 0.9962 0.9989 0 11.237 3.997 36 9 20 8 0.9934 0.9989 0 13.993 4.121 36 9 27 4 +29 0 0.996 0.9988 0 11.141 3.933 8 4 60 12 0.993 0.9988 0 13.662 4.03 8 4 49 6 +29 0 0.9964 0.9989 0 11.243 3.954 35 15 11 5 0.9933 0.9989 0 14.014 4.103 35 15 63 6 +29 0 0.9969 0.9989 0 10.206 3.66 21 8 44 12 0.9936 0.9989 0 13.324 3.899 21 8 64 6 +29 0 0.9966 0.9987 0 10.131 3.677 3 1 30 9 0.9938 0.9987 0 12.833 3.826 3 1 78 6 +29 0 0.9966 0.9988 0 11.533 4.09 29 7 88 16 0.9933 0.9988 0 13.777 4.04 29 7 43 6 +30 0 0.996 0.9989 0 10.873 3.833 19 6 23 8 0.9938 0.9989 0 14 4.067 19 6 63 6 +30 0 0.9954 0.9988 0 11.987 4.13 17 4 31 17 0.993 0.9988 0 14.758 4.2 17 4 76 6 +30 0 0.9966 0.9989 0 10.672 3.865 26 12 12 5 0.9931 0.9989 0 13.92 4.078 26 12 52 6 +30 0 0.9956 0.9989 0 10.415 3.796 10 6 17 5 0.9933 0.9989 0 13.712 3.999 10 6 25 5 +30 0 0.9968 0.9989 0 11.104 3.95 36 9 40 9 0.9935 0.9989 0 13.9 4.115 36 9 27 4 +30 0 0.9972 0.9988 0 11.015 3.917 8 4 74 17 0.9931 0.9988 0 13.577 4.026 8 4 49 6 +30 0 0.9968 0.9989 0 11.235 3.956 35 15 19 6 0.9934 0.9989 0 13.925 4.099 35 15 63 6 +30 0 0.9963 0.9989 0 10.409 3.729 21 8 83 15 0.9937 0.9989 0 13.23 3.894 21 8 64 6 +30 0 0.9968 0.9987 0 10.118 3.679 3 1 31 9 0.9939 0.9987 0 12.745 3.821 3 1 78 6 +30 0 0.9962 0.9988 0 11.074 3.98 29 7 15 6 0.9934 0.9988 0 13.689 4.038 29 7 43 6 +31 0 0.9968 0.9989 0 10.729 3.83 19 6 11 4 0.9939 0.9989 0 13.898 4.059 19 6 63 6 +31 0 0.996 0.9988 0 11.821 4.08 17 4 25 10 0.9931 0.9988 0 14.666 4.196 17 4 76 6 +31 0 0.997 0.9989 0 10.638 3.875 26 12 33 8 0.9933 0.9989 0 13.818 4.072 26 12 52 6 +31 0 0.9966 0.9989 0 10.497 3.872 10 6 23 8 0.9934 0.9989 0 13.611 3.995 10 6 25 5 +31 0 0.9967 0.9989 0 11.052 3.951 36 9 17 5 0.9936 0.9989 0 13.811 4.11 36 9 27 4 +31 0 0.9968 0.9988 0 11.301 4.019 8 4 42 11 0.9932 0.9988 0 13.506 4.026 8 4 49 6 +31 0 0.997 0.9989 0 11.247 3.978 25 10 35 10 0.9935 0.9989 0 13.841 4.095 25 10 63 6 +31 0 0.9965 0.9989 0 10.514 3.771 21 8 33 9 0.9938 0.9989 0 13.145 3.89 21 8 64 6 +31 0 0.9946 0.9987 0 9.688 3.576 3 1 28 10 0.9939 0.9987 0 12.65 3.814 3 1 78 6 +31 0 0.9954 0.9988 0 10.98 3.961 29 7 29 8 0.9935 0.9988 0 13.605 4.036 29 7 43 6 +32 0 0.9965 0.9989 0 10.552 3.776 19 6 45 12 0.9939 0.9989 0 13.796 4.051 19 6 63 6 +32 0 0.9948 0.9988 0 11.628 4.062 17 4 68 15 0.9931 0.9988 0 14.574 4.192 17 4 76 6 +32 0 0.9964 0.9989 0 10.601 3.872 26 12 29 9 0.9934 0.9989 0 13.72 4.066 26 12 52 6 +32 0 0.9948 0.9989 0 10.256 3.82 10 6 22 10 0.9934 0.9989 0 13.51 3.989 10 6 25 5 +32 0 0.9951 0.9989 0 10.699 3.849 36 9 12 5 0.9936 0.9989 0 13.717 4.102 36 9 27 4 +32 0 0.996 0.9988 0 11.479 4.034 8 4 72 16 0.9933 0.9988 0 13.444 4.026 8 4 49 6 +32 0 0.997 0.9989 0 11.05 3.955 25 10 71 12 0.9936 0.9989 0 13.757 4.091 25 10 63 6 +32 0 0.9967 0.9989 0 10.29 3.731 21 8 29 9 0.9939 0.9989 0 13.058 3.885 21 8 64 6 +32 0 0.9962 0.9987 0 9.452 3.518 3 1 25 9 0.994 0.9987 0 12.553 3.805 3 1 78 6 +32 0 0.9954 0.9988 0 10.819 3.913 29 7 40 16 0.9935 0.9988 0 13.52 4.032 29 7 43 6 +33 0 0.9967 0.9989 0 10.533 3.789 19 6 17 7 0.994 0.9989 0 13.7 4.043 19 6 63 6 +33 0 0.9949 0.9988 0 11.482 4.013 17 4 22 7 0.9932 0.9988 0 14.483 4.187 17 4 76 6 +33 0 0.9972 0.9989 0 10.431 3.853 26 12 29 9 0.9935 0.9989 0 13.624 4.06 26 12 52 6 +33 0 0.9966 0.9989 0 10.149 3.786 10 6 35 14 0.9935 0.9989 0 13.411 3.983 10 6 25 5 +33 0 0.9968 0.9989 0 10.258 3.759 36 9 37 10 0.9937 0.9989 0 13.615 4.092 36 9 27 4 +33 0 0.9966 0.9988 0 11.179 3.963 8 4 38 8 0.9934 0.9988 0 13.377 4.024 8 4 49 6 +33 0 0.9968 0.9989 0 11.003 3.956 25 10 31 7 0.9937 0.9989 0 13.676 4.087 25 10 63 6 +33 0 0.9957 0.9989 0 10.324 3.788 21 8 43 11 0.9939 0.9989 0 12.978 3.882 21 8 64 6 +33 0 0.997 0.9987 0 9.176 3.448 3 1 10 4 0.9941 0.9987 0 12.454 3.794 3 1 78 6 +33 0 0.9962 0.9989 0 10.823 3.893 12 5 23 12 0.9936 0.9989 0 13.441 4.028 12 5 43 6 +34 0 0.9965 0.9989 0 10.543 3.79 19 6 64 17 0.9941 0.9989 0 13.61 4.036 19 6 63 6 +34 0 0.996 0.9988 0 11.416 4.005 17 4 56 14 0.9933 0.9988 0 14.396 4.182 17 4 76 6 +34 0 0.9956 0.9989 0 10.215 3.785 26 12 36 10 0.9935 0.9989 0 13.526 4.052 26 12 52 6 +34 0 0.9966 0.9989 0 10.269 3.826 8 5 22 9 0.9936 0.9989 0 13.321 3.979 8 5 25 5 +34 0 0.9969 0.9989 0 9.931 3.674 36 9 15 4 0.9938 0.9989 0 13.51 4.08 36 9 27 4 +34 0 0.997 0.9988 0 10.894 3.921 39 9 47 11 0.9935 0.9988 0 13.307 4.021 39 9 49 6 +34 0 0.997 0.9989 0 11.053 3.967 30 12 52 17 0.9938 0.9989 0 13.601 4.083 30 12 63 6 +34 0 0.9947 0.9989 0 10.136 3.742 21 8 45 11 0.9939 0.9989 0 12.897 3.878 21 8 64 6 +34 0 0.9976 0.9987 0 8.907 3.375 3 1 47 9 0.9942 0.9987 0 12.352 3.782 3 1 78 6 +34 0 0.9967 0.9989 0 10.801 3.907 12 5 39 9 0.9937 0.9989 0 13.366 4.024 12 5 43 6 +35 0 0.9962 0.9989 0 10.345 3.731 19 6 23 10 0.9941 0.9989 0 13.52 4.027 19 6 63 6 +35 0 0.9972 0.9988 0 11.07 3.945 17 4 19 9 0.9934 0.9988 0 14.303 4.175 17 4 76 6 +35 0 0.9974 0.9989 0 10.148 3.787 26 12 10 5 0.9936 0.9989 0 13.432 4.045 26 12 52 6 +35 0 0.9964 0.9989 0 10.089 3.784 8 5 29 8 0.9937 0.9989 0 13.231 3.973 8 5 25 5 +35 0 0.9962 0.9989 0 9.982 3.682 36 9 24 10 0.9939 0.9989 0 13.412 4.069 36 9 27 4 +35 0 0.9968 0.9988 0 10.957 3.951 39 9 28 11 0.9936 0.9988 0 13.241 4.019 39 9 49 6 +35 0 0.9966 0.9989 0 11.035 3.954 30 12 19 5 0.9939 0.9989 0 13.529 4.08 30 12 63 6 +35 0 0.9969 0.9989 0 9.85 3.658 21 8 39 14 0.994 0.9989 0 12.812 3.872 21 8 64 6 +35 0 0.9968 0.9987 0 8.611 3.286 3 1 11 4 0.9943 0.9987 0 12.248 3.768 3 1 78 6 +35 0 0.9953 0.9989 0 10.774 3.919 12 5 35 7 0.9937 0.9989 0 13.294 4.021 12 5 43 6 +36 0 0.9978 0.9989 0 10.037 3.66 19 6 21 8 0.9942 0.9989 0 13.425 4.017 19 6 63 6 +36 0 0.996 0.9988 0 10.761 3.895 17 4 16 7 0.9935 0.9988 0 14.207 4.168 17 4 76 6 +36 0 0.997 0.9989 0 9.84 3.699 26 12 26 11 0.9937 0.9989 0 13.335 4.035 26 12 52 6 +36 0 0.996 0.9989 0 10.081 3.799 8 5 19 6 0.9937 0.9989 0 13.146 3.969 8 5 25 5 +36 0 0.9958 0.9989 0 9.764 3.608 36 9 13 5 0.9939 0.9989 0 13.313 4.056 36 9 27 4 +36 0 0.9962 0.9988 0 10.715 3.887 7 4 45 12 0.9937 0.9988 0 13.173 4.016 7 4 49 6 +36 0 0.9976 0.9989 0 10.691 3.871 30 12 48 11 0.994 0.9989 0 13.453 4.074 30 12 63 6 +36 0 0.9959 0.9989 0 9.67 3.642 21 8 12 4 0.9941 0.9989 0 12.727 3.866 21 8 64 6 +36 0 0.997 0.9989 0 8.364 3.2 22 6 14 8 0.9943 0.9989 0 12.143 3.753 22 6 78 6 +36 0 0.9969 0.9989 0 10.619 3.896 12 5 18 7 0.9938 0.9989 0 13.221 4.018 12 5 43 6 +37 0 0.9968 0.9989 0 9.872 3.628 19 6 35 10 0.9943 0.9989 0 13.332 4.007 19 6 63 6 +37 0 0.9972 0.9988 0 10.541 3.897 17 4 22 8 0.9936 0.9988 0 14.111 4.16 17 4 76 6 +37 0 0.9958 0.9989 0 9.944 3.735 26 12 8 4 0.9938 0.9989 0 13.246 4.027 26 12 52 6 +37 0 0.9956 0.9989 0 10.061 3.771 8 5 18 8 0.9938 0.9989 0 13.065 3.964 8 5 25 5 +37 0 0.9977 0.9989 0 9.629 3.54 36 9 32 10 0.994 0.9989 0 13.216 4.043 36 9 27 4 +37 0 0.9968 0.9988 0 10.404 3.805 7 4 7 3 0.9938 0.9988 0 13.1 4.01 7 4 49 6 +37 0 0.997 0.9989 0 10.625 3.841 30 12 57 11 0.9941 0.9989 0 13.378 4.068 30 12 63 6 +37 0 0.9965 0.9989 0 9.522 3.603 21 8 15 6 0.9941 0.9989 0 12.643 3.859 21 8 64 6 +37 0 0.9976 0.9989 0 8.273 3.19 22 6 21 8 0.9944 0.9989 0 12.041 3.738 22 6 78 6 +37 0 0.9972 0.9989 0 10.689 3.928 12 5 13 7 0.9939 0.9989 0 13.155 4.016 12 5 43 6 +38 0 0.9964 0.9989 0 9.538 3.567 19 6 9 3 0.9944 0.9989 0 13.235 3.996 19 6 63 6 +38 0 0.996 0.9989 0 10.54 3.913 10 5 10 4 0.9936 0.9989 0 14.019 4.154 10 5 76 6 +38 0 0.9962 0.9989 0 9.769 3.684 26 12 24 7 0.9938 0.9989 0 13.157 4.018 26 12 52 6 +38 0 0.9966 0.9989 0 9.91 3.769 8 5 7 3 0.9939 0.9989 0 12.984 3.959 8 5 25 5 +38 0 0.9966 0.9989 0 9.628 3.545 36 9 28 9 0.9941 0.9989 0 13.124 4.03 36 9 27 4 +38 0 0.9962 0.9988 0 10.203 3.759 7 4 32 8 0.9938 0.9988 0 13.026 4.004 7 4 49 6 +38 0 0.9964 0.9989 0 10.454 3.833 30 12 47 13 0.9941 0.9989 0 13.303 4.062 30 12 63 6 +38 0 0.9971 0.9989 0 9.592 3.633 21 8 17 7 0.9942 0.9989 0 12.564 3.853 21 8 64 6 +38 0 0.9966 0.9989 0 8.264 3.192 22 6 11 3 0.9945 0.9989 0 11.945 3.724 22 6 78 6 +38 0 0.9948 0.9989 0 10.391 3.814 12 5 25 7 0.9939 0.9989 0 13.084 4.01 12 5 43 6 +39 0 0.997 0.9989 0 9.238 3.483 19 6 11 5 0.9944 0.9989 0 13.135 3.983 19 6 63 6 +39 0 0.9962 0.9989 0 10.431 3.885 10 5 14 5 0.9937 0.9989 0 13.93 4.147 10 5 76 6 +39 0 0.996 0.9989 0 9.862 3.729 26 12 27 8 0.9939 0.9989 0 13.075 4.011 26 12 52 6 +39 0 0.9968 0.9989 0 9.773 3.774 8 5 17 6 0.9939 0.9989 0 12.904 3.954 8 5 25 5 +39 0 0.9977 0.9989 0 9.671 3.536 36 9 19 6 0.9942 0.9989 0 13.038 4.018 36 9 27 4 +39 0 0.9958 0.9988 0 10.334 3.795 7 4 31 7 0.9939 0.9988 0 12.959 3.998 7 4 49 6 +39 0 0.9972 0.9989 0 10.169 3.729 30 12 5 2 0.9942 0.9989 0 13.225 4.054 30 12 63 6 +39 0 0.9967 0.9989 0 9.293 3.552 21 8 13 5 0.9943 0.9989 0 12.483 3.846 21 8 64 6 +39 0 0.997 0.9989 0 8.088 3.128 22 6 31 8 0.9946 0.9989 0 11.848 3.709 22 6 78 6 +39 0 0.997 0.9989 0 10.217 3.805 12 5 14 7 0.994 0.9989 0 13.012 4.005 12 5 43 6 +40 0 0.9972 0.9989 0 9.203 3.458 19 6 10 5 0.9945 0.9989 0 13.039 3.97 19 6 63 6 +40 0 0.9966 0.9989 0 10.233 3.846 10 5 17 7 0.9937 0.9989 0 13.84 4.14 10 5 76 6 +40 0 0.9968 0.9989 0 9.677 3.657 26 12 12 7 0.994 0.9989 0 12.992 4.003 26 12 52 6 +40 0 0.9962 0.9989 0 9.759 3.766 8 5 39 13 0.994 0.9989 0 12.827 3.949 8 5 25 5 +40 0 0.9973 0.9989 0 9.691 3.511 36 9 33 10 0.9943 0.9989 0 12.956 4.005 36 9 27 4 +40 0 0.9964 0.9988 0 9.906 3.686 7 4 28 10 0.9939 0.9988 0 12.884 3.991 7 4 49 6 +40 0 0.9966 0.9989 0 9.986 3.703 30 12 48 13 0.9943 0.9989 0 13.146 4.045 30 12 63 6 +40 0 0.9963 0.9989 0 9.226 3.549 21 8 30 11 0.9943 0.9989 0 12.403 3.839 21 8 64 6 +40 0 0.9962 0.9989 0 8.063 3.123 22 6 20 7 0.9946 0.9989 0 11.756 3.695 22 6 78 6 +40 0 0.9961 0.9989 0 9.996 3.743 12 5 10 5 0.9941 0.9989 0 12.939 3.999 12 5 43 6 +41 0 0.9974 0.9989 0 9.174 3.481 19 6 30 13 0.9946 0.9989 0 12.947 3.959 19 6 63 6 +41 0 0.9966 0.9989 0 9.945 3.75 10 5 30 13 0.9938 0.9989 0 13.747 4.131 10 5 76 6 +41 0 0.9962 0.9989 0 9.555 3.634 26 12 8 4 0.994 0.9989 0 12.91 3.994 26 12 52 6 +41 0 0.9968 0.9989 0 9.566 3.703 8 5 9 4 0.994 0.9989 0 12.749 3.943 8 5 25 5 +41 0 0.9966 0.9989 0 9.626 3.538 36 9 17 7 0.9943 0.9989 0 12.877 3.994 36 9 27 4 +41 0 0.9966 0.9988 0 9.601 3.611 7 4 33 14 0.994 0.9988 0 12.806 3.982 7 4 49 6 +41 0 0.997 0.9989 0 10.117 3.753 30 12 32 11 0.9943 0.9989 0 13.074 4.038 30 12 63 6 +41 0 0.9971 0.9989 0 8.918 3.45 21 8 21 6 0.9944 0.9989 0 12.32 3.829 21 8 64 6 +41 0 0.9972 0.9989 0 7.937 3.051 22 6 11 5 0.9947 0.9989 0 11.665 3.68 22 6 78 6 +41 0 0.9964 0.9989 0 10.039 3.772 12 5 51 11 0.9941 0.9989 0 12.87 3.994 12 5 43 6 +42 0 0.9974 0.9989 0 8.983 3.437 19 6 32 11 0.9946 0.9989 0 12.855 3.946 19 6 63 6 +42 0 0.9946 0.9989 0 9.993 3.765 10 5 15 7 0.9938 0.9989 0 13.66 4.122 10 5 76 6 +42 0 0.9972 0.9989 0 9.383 3.604 26 12 27 9 0.9941 0.9989 0 12.828 3.985 26 12 52 6 +42 0 0.9972 0.9989 0 9.473 3.671 8 5 12 6 0.9941 0.9989 0 12.673 3.937 8 5 25 5 +42 0 0.9966 0.9989 0 9.382 3.476 36 9 11 4 0.9944 0.9989 0 12.796 3.982 36 9 27 4 +42 0 0.9972 0.9988 0 9.602 3.613 7 4 14 6 0.9941 0.9988 0 12.731 3.973 7 4 49 6 +42 0 0.9978 0.9989 0 9.984 3.717 30 12 20 6 0.9944 0.9989 0 13.002 4.031 30 12 63 6 +42 0 0.9959 0.9989 0 8.666 3.352 21 8 20 6 0.9944 0.9989 0 12.235 3.818 21 8 64 6 +42 0 0.9972 0.9989 0 7.775 3.024 22 6 7 3 0.9947 0.9989 0 11.575 3.664 22 6 78 6 +42 0 0.996 0.9989 0 10.051 3.791 12 5 39 13 0.9942 0.9989 0 12.804 3.989 12 5 43 6 +43 0 0.9972 0.9989 0 8.842 3.38 19 6 18 6 0.9947 0.9989 0 12.763 3.934 19 6 63 6 +43 0 0.995 0.9989 0 9.742 3.665 10 5 10 4 0.9939 0.9989 0 13.57 4.112 10 5 76 6 +43 0 0.9966 0.9989 0 9.187 3.547 26 12 24 9 0.9941 0.9989 0 12.745 3.975 26 12 52 6 +43 0 0.996 0.9989 0 9.365 3.591 8 5 49 8 0.9942 0.9989 0 12.598 3.929 8 5 25 5 +43 0 0.9962 0.9989 0 9.379 3.507 36 9 13 6 0.9944 0.9989 0 12.718 3.971 36 9 27 4 +43 0 0.9968 0.9988 0 9.458 3.557 7 4 14 5 0.9941 0.9988 0 12.657 3.964 7 4 49 6 +43 0 0.9976 0.9989 0 9.957 3.718 30 12 25 10 0.9945 0.9989 0 12.933 4.023 30 12 63 6 +43 0 0.9959 0.9989 0 8.775 3.379 21 8 15 5 0.9945 0.9989 0 12.157 3.808 21 8 64 6 +43 0 0.9968 0.9989 0 7.708 3.024 22 6 7 3 0.9948 0.9989 0 11.487 3.65 22 6 78 6 +43 0 0.9952 0.9989 0 9.875 3.755 12 5 26 12 0.9942 0.9989 0 12.737 3.983 12 5 43 6 +44 0 0.9968 0.9989 0 8.813 3.394 19 6 13 5 0.9947 0.9989 0 12.676 3.922 19 6 63 6 +44 0 0.9958 0.9989 0 9.674 3.676 10 5 9 5 0.9939 0.9989 0 13.484 4.102 10 5 76 6 +44 0 0.9974 0.9989 0 9.058 3.495 26 12 19 7 0.9942 0.9989 0 12.663 3.964 26 12 52 6 +44 0 0.9974 0.9989 0 9.097 3.528 8 5 28 10 0.9942 0.9989 0 12.52 3.92 8 5 25 5 +44 0 0.9971 0.9989 0 8.96 3.403 36 9 31 9 0.9945 0.9989 0 12.635 3.959 36 9 27 4 +44 0 0.9968 0.9988 0 9.264 3.482 7 4 41 10 0.9942 0.9988 0 12.582 3.953 7 4 49 6 +44 0 0.9968 0.9989 0 9.71 3.644 30 12 28 7 0.9945 0.9989 0 12.861 4.015 30 12 63 6 +44 0 0.9971 0.9989 0 8.458 3.296 21 8 7 3 0.9945 0.9989 0 12.074 3.797 21 8 64 6 +44 0 0.9968 0.9989 0 7.641 3.014 22 6 48 10 0.9948 0.9989 0 11.401 3.636 22 6 78 6 +44 0 0.996 0.9989 0 9.722 3.712 12 5 9 3 0.9942 0.9989 0 12.67 3.977 12 5 43 6 +45 0 0.9974 0.9989 0 8.676 3.344 19 6 7 3 0.9948 0.9989 0 12.589 3.909 19 6 63 6 +45 0 0.997 0.9989 0 9.555 3.645 10 5 28 8 0.994 0.9989 0 13.398 4.092 10 5 76 6 +45 0 0.9978 0.9989 0 8.835 3.458 26 12 18 8 0.9943 0.9989 0 12.58 3.953 26 12 52 6 +45 0 0.9968 0.9989 0 8.733 3.401 8 5 25 12 0.9943 0.9989 0 12.438 3.909 8 5 25 5 +45 0 0.996 0.9989 0 8.721 3.326 36 9 36 9 0.9945 0.9989 0 12.55 3.945 36 9 27 4 +45 0 0.997 0.9988 0 9.203 3.497 7 4 11 5 0.9943 0.9988 0 12.508 3.943 7 4 49 6 +45 0 0.997 0.9989 0 9.677 3.646 30 12 11 6 0.9946 0.9989 0 12.792 4.007 30 12 63 6 +45 0 0.9963 0.9989 0 8.403 3.299 21 8 8 4 0.9946 0.9989 0 11.995 3.786 21 8 64 6 +45 0 0.9976 0.9989 0 7.663 3.019 22 6 22 9 0.9949 0.9989 0 11.32 3.622 22 6 78 6 +45 0 0.9966 0.9989 0 9.735 3.724 12 5 27 6 0.9943 0.9989 0 12.607 3.972 12 5 43 6 +46 0 0.9968 0.9989 0 8.582 3.335 19 6 20 6 0.9948 0.9989 0 12.503 3.897 19 6 63 6 +46 0 0.9968 0.9989 0 9.266 3.571 10 5 10 4 0.994 0.9989 0 13.311 4.081 10 5 76 6 +46 0 0.9976 0.9989 0 8.882 3.456 26 12 13 5 0.9944 0.9989 0 12.501 3.943 26 12 52 6 +46 0 0.9974 0.9989 0 8.801 3.433 8 5 82 15 0.9944 0.9989 0 12.361 3.899 8 5 25 5 +46 0 0.9962 0.9989 0 8.609 3.284 36 9 7 3 0.9945 0.9989 0 12.466 3.931 36 9 27 4 +46 0 0.9972 0.9988 0 9.107 3.48 7 4 18 6 0.9943 0.9988 0 12.436 3.933 7 4 49 6 +46 0 0.9978 0.9989 0 9.638 3.635 30 12 61 14 0.9947 0.9989 0 12.725 3.999 30 12 63 6 +46 0 0.9971 0.9989 0 8.216 3.229 21 8 39 12 0.9946 0.9989 0 11.914 3.774 21 8 64 6 +46 0 0.997 0.9989 0 7.484 2.98 22 6 13 5 0.9949 0.9989 0 11.238 3.609 22 6 78 6 +46 0 0.9962 0.9989 0 9.736 3.738 12 5 32 8 0.9943 0.9989 0 12.546 3.967 12 5 43 6 +47 0 0.998 0.9989 0.9851 8.473 3.303 19 6 7 3 0.9949 0.9989 0 12.419 3.884 19 6 63 6 +47 0 0.9958 0.9989 0 9.221 3.555 10 5 44 14 0.9941 0.9989 0 13.225 4.07 10 5 76 6 +47 0 0.9974 0.9989 0 9.034 3.526 26 12 10 4 0.9944 0.9989 0 12.429 3.934 26 12 52 6 +47 0 0.9972 0.9989 0 8.844 3.441 8 5 32 8 0.9944 0.9989 0 12.287 3.889 8 5 25 5 +47 0 0.9968 0.9989 0 8.631 3.313 36 9 53 11 0.9946 0.9989 0 12.386 3.918 36 9 27 4 +47 0 0.9974 0.9988 0 8.983 3.462 7 4 17 7 0.9944 0.9988 0 12.364 3.924 7 4 49 6 +47 0 0.9974 0.9989 0 9.508 3.618 30 12 27 11 0.9947 0.9989 0 12.658 3.991 30 12 63 6 +47 0 0.9973 0.9989 0 8.103 3.192 21 8 17 6 0.9947 0.9989 0 11.835 3.762 21 8 64 6 +47 0 0.9972 0.9989 0 7.52 2.98 22 6 7 3 0.995 0.9989 0 11.161 3.596 22 6 78 6 +47 0 0.9964 0.9989 0 10.017 3.795 12 5 12 5 0.9944 0.9989 0 12.493 3.963 12 5 43 6 +48 0 0.9976 0.9989 0 8.368 3.257 19 6 34 9 0.995 0.9989 0 12.337 3.872 19 6 63 6 +48 0 0.9974 0.9989 0 9.134 3.539 10 5 23 8 0.9941 0.9989 0 13.142 4.059 10 5 76 6 +48 0 0.9972 0.9989 0 8.966 3.522 26 12 69 14 0.9945 0.9989 0 12.358 3.925 26 12 52 6 +48 0 0.9976 0.9989 0 8.958 3.482 8 5 24 7 0.9945 0.9989 0 12.219 3.881 8 5 25 5 +48 0 0.9962 0.9989 0 8.552 3.269 36 9 17 7 0.9946 0.9989 0 12.308 3.905 36 9 27 4 +48 0 0.9978 0.9989 0 8.836 3.42 44 13 21 7 0.9945 0.9989 0 12.292 3.913 44 13 49 6 +48 0 0.997 0.9989 0 9.439 3.624 30 12 12 5 0.9948 0.9989 0 12.592 3.984 30 12 63 6 +48 0 0.9973 0.9989 0 7.99 3.174 21 8 14 8 0.9947 0.9989 0 11.756 3.75 21 8 64 6 +48 0 0.9966 0.9989 0 7.324 2.926 22 6 8 4 0.995 0.9989 0 11.083 3.582 22 6 78 6 +48 0 0.9958 0.9989 0 9.914 3.776 12 5 15 5 0.9944 0.9989 0 12.44 3.96 12 5 43 6 +49 0 0.9974 0.9989 0 8.224 3.22 19 6 32 12 0.995 0.9989 0 12.255 3.859 19 6 63 6 +49 0 0.9966 0.9989 0 9.158 3.526 10 5 76 14 0.9942 0.9989 0 13.062 4.049 10 5 76 6 +49 0 0.9966 0.9989 0 8.947 3.52 26 12 34 10 0.9945 0.9989 0 12.29 3.917 26 12 52 6 +49 0 0.9976 0.9989 0 9.01 3.493 8 5 10 4 0.9945 0.9989 0 12.155 3.873 8 5 25 5 +49 0 0.997 0.9989 0 8.505 3.239 36 9 25 7 0.9947 0.9989 0 12.232 3.892 36 9 27 4 +49 0 0.9976 0.9989 0 8.751 3.383 44 13 43 13 0.9945 0.9989 0 12.221 3.903 44 13 49 6 +49 0 0.9972 0.9989 0 9.221 3.56 30 12 29 7 0.9948 0.9989 0 12.525 3.975 30 12 63 6 +49 0 0.9963 0.9989 0 7.856 3.119 21 8 45 12 0.9948 0.9989 0 11.678 3.737 21 8 64 6 +49 0 0.9974 0.9989 0 7.281 2.911 22 6 31 9 0.9951 0.9989 0 11.007 3.569 22 6 78 6 +49 0 0.9964 0.9989 0 9.772 3.743 12 5 28 6 0.9944 0.9989 0 12.387 3.955 12 5 43 6 +50 0 0.9972 0.9989 0 8.125 3.18 19 6 28 10 0.995 0.9989 0 12.174 3.845 19 6 63 6 +50 0 0.9974 0.9989 0 8.743 3.401 10 5 14 5 0.9942 0.9989 0 12.978 4.036 10 5 76 6 +50 0 0.9972 0.9989 0 8.689 3.408 26 12 14 5 0.9946 0.9989 0 12.219 3.907 26 12 52 6 +50 0 0.9972 0.9989 0 8.878 3.421 8 5 35 13 0.9946 0.9989 0 12.091 3.864 8 5 25 5 +50 0 0.9972 0.9989 0 8.462 3.242 36 9 55 13 0.9947 0.9989 0 12.158 3.879 36 9 27 4 +50 0 0.9972 0.9989 0 8.849 3.389 44 13 11 6 0.9946 0.9989 0 12.155 3.893 44 13 49 6 +50 0 0.997 0.9989 0 9.324 3.587 30 12 19 7 0.9949 0.9989 0 12.462 3.968 30 12 63 6 +50 0 0.9971 0.9989 0 7.702 3.064 21 8 9 4 0.9948 0.9989 0 11.6 3.724 21 8 64 6 +50 0 0.9974 0.9989 0 7.269 2.901 22 6 13 5 0.9951 0.9989 0 10.933 3.555 22 6 78 6 +50 0 0.9954 0.9989 0 9.694 3.745 12 5 56 11 0.9944 0.9989 0 12.334 3.951 12 5 43 6 +51 0 0.997 0.9989 0 7.994 3.16 19 6 21 6 0.9951 0.9989 0 12.093 3.832 19 6 63 6 +51 0 0.9962 0.9989 0 8.605 3.343 10 5 14 5 0.9943 0.9989 0 12.893 4.023 10 5 76 6 +51 0 0.9968 0.9989 0 8.606 3.393 26 12 11 6 0.9946 0.9989 0 12.15 3.897 26 12 52 6 +51 0 0.9972 0.9989 0 8.82 3.401 8 5 17 8 0.9947 0.9989 0 12.028 3.856 8 5 25 5 +51 0 0.9976 0.9989 0 8.212 3.163 36 9 15 5 0.9948 0.9989 0 12.082 3.865 36 9 27 4 +51 0 0.9972 0.9989 0 8.705 3.343 44 13 16 5 0.9946 0.9989 0 12.089 3.882 44 13 49 6 +51 0 0.9964 0.9989 0 9.369 3.61 30 12 37 12 0.9949 0.9989 0 12.402 3.961 30 12 63 6 +51 0 0.9973 0.9989 0 7.593 3.034 21 8 7 3 0.9949 0.9989 0 11.523 3.711 21 8 64 6 +51 0 0.997 0.9989 0 7.068 2.835 22 6 19 8 0.9951 0.9989 0 10.859 3.542 22 6 78 6 +51 0 0.9958 0.9989 0 9.744 3.756 12 5 26 10 0.9945 0.9989 0 12.284 3.947 12 5 43 6 diff --git a/PartB/90Cross10Mut2El/run_0/regress.bst b/PartB/90Cross10Mut2El/run_0/regress.bst new file mode 100644 index 0000000..71ebc45 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_0/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +TREE-equ: +y = (((0.00647 * convex) + ((log((minor - area)) / (perimeter / -0.91529)) + (eccentricity * exp(0.91780)))) - minor) diff --git a/PartB/90Cross10Mut2El/run_0/regress.fn b/PartB/90Cross10Mut2El/run_0/regress.fn new file mode 100644 index 0000000..1e03f24 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_0/regress.fn @@ -0,0 +1,16 @@ +Hits: 2583, Total Size: 2810, Percent Hit: 91.921708 +CC: 1073 +CO: 71 +OO: 1510 +OC: 156 +Fitness: 0.998937 +Hits: 940 + + +y = (((0.00647 * convex) + ((log((minor - area)) / (perimeter / -0.91529)) + (eccentricity * exp(0.91780)))) - minor) + + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) diff --git a/PartB/90Cross10Mut2El/run_0/regress.gen b/PartB/90Cross10Mut2El/run_0/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_0/regress.his b/PartB/90Cross10Mut2El/run_0/regress.his new file mode 100644 index 0000000..a6cc2d6 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_0/regress.his @@ -0,0 +1,1152 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 53 + depth: 6 + hits: 766 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 766 + raw fitness: 766.0000 + standardized fitness: 766.0000 + adjusted fitness: 0.9987 +TREE: + (- (log (- (+ (+ (log 0.34644) + (* perimeter minor)) + (- (/ eccentricity major) + (/ perimeter major))) + (log (exp (- perimeter area))))) + (exp (* (+ (- (- eccentricity perimeter) + (- extent 0.75115)) + (+ (* convex -0.42079) + (/ eccentricity area))) + (/ (* (/ convex perimeter) + (+ -0.88022 eccentricity)) + (+ (/ extent eccentricity) + (exp 0.57485)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 53 + depth: 6 + hits: 766 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 766 + raw fitness: 766.0000 + standardized fitness: 766.0000 + adjusted fitness: 0.9987 +TREE: + (- (log (- (+ (+ (log 0.34644) + (* perimeter minor)) + (- (/ eccentricity major) + (/ perimeter major))) + (log (exp (- perimeter area))))) + (exp (* (+ (- (- eccentricity perimeter) + (- extent 0.75115)) + (+ (* convex -0.42079) + (/ eccentricity area))) + (/ (* (/ convex perimeter) + (+ -0.88022 eccentricity)) + (+ (/ extent eccentricity) + (exp 0.57485)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 53 + depth: 6 + hits: 766 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 766 + raw fitness: 766.0000 + standardized fitness: 766.0000 + adjusted fitness: 0.9987 +TREE: + (- (log (- (+ (+ (log 0.34644) + (* perimeter minor)) + (- (/ eccentricity major) + (/ perimeter major))) + (log (exp (- perimeter area))))) + (exp (* (+ (- (- eccentricity perimeter) + (- extent 0.75115)) + (+ (* convex -0.42079) + (/ eccentricity area))) + (/ (* (/ convex perimeter) + (+ -0.88022 eccentricity)) + (+ (/ extent eccentricity) + (exp 0.57485)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 33 + depth: 9 + hits: 848 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 848 + raw fitness: 848.0000 + standardized fitness: 848.0000 + adjusted fitness: 0.9988 +TREE: + (/ (exp (- (- -0.10054 0.60885) + (log minor))) + (- (+ (- major major) + (log -0.60662)) + (/ (* (/ (* (exp (* perimeter + (+ eccentricity extent))) area) convex) + (* area -0.19964)) + (- eccentricity major)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 33 + depth: 9 + hits: 848 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 848 + raw fitness: 848.0000 + standardized fitness: 848.0000 + adjusted fitness: 0.9988 +TREE: + (/ (exp (- (- -0.10054 0.60885) + (log minor))) + (- (+ (- major major) + (log -0.60662)) + (/ (* (/ (* (exp (* perimeter + (+ eccentricity extent))) area) convex) + (* area -0.19964)) + (- eccentricity major)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 3 + nodes: 33 + depth: 9 + hits: 848 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 848 + raw fitness: 848.0000 + standardized fitness: 848.0000 + adjusted fitness: 0.9988 +TREE: + (/ (exp (- (- -0.10054 0.60885) + (log minor))) + (- (+ (- major major) + (log -0.60662)) + (/ (* (/ (* (exp (* perimeter + (+ eccentricity extent))) area) convex) + (* area -0.19964)) + (- eccentricity major)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 3 + nodes: 33 + depth: 9 + hits: 848 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 848 + raw fitness: 848.0000 + standardized fitness: 848.0000 + adjusted fitness: 0.9988 +TREE: + (/ (exp (- (- -0.10054 0.60885) + (log minor))) + (- (+ (- major major) + (log -0.60662)) + (/ (* (/ (* (exp (* perimeter + (+ eccentricity extent))) area) convex) + (* area -0.19964)) + (- eccentricity major)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 7 + nodes: 29 + depth: 6 + hits: 906 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 906 + raw fitness: 906.0000 + standardized fitness: 906.0000 + adjusted fitness: 0.9989 +TREE: + (- (* (log (exp (/ perimeter -0.60247))) + (+ eccentricity area)) + (- (- minor 0.62193) + (+ (exp (* extent -0.97898)) + (+ (+ (log minor) + (* major perimeter)) + (log (log area)))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 28 + depth: 8 + hits: 939 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 939 + raw fitness: 939.0000 + standardized fitness: 939.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (/ (log (+ (/ extent extent) + (log major))) + (- (- extent perimeter) eccentricity)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 16 + generation: 15 + nodes: 28 + depth: 8 + hits: 939 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 939 + raw fitness: 939.0000 + standardized fitness: 939.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (/ (log (+ (/ extent extent) + (log major))) + (- (- extent perimeter) eccentricity)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 17 + generation: 15 + nodes: 28 + depth: 8 + hits: 939 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 939 + raw fitness: 939.0000 + standardized fitness: 939.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (/ (log (+ (/ extent extent) + (log major))) + (- (- extent perimeter) eccentricity)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 18 + generation: 15 + nodes: 28 + depth: 8 + hits: 939 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 939 + raw fitness: 939.0000 + standardized fitness: 939.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (/ (log (+ (/ extent extent) + (log major))) + (- (- extent perimeter) eccentricity)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 19 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 20 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 21 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 22 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 23 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 24 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 25 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 26 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 27 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 28 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 29 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 30 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 31 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 32 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 33 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 34 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 35 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 36 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 37 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 38 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 39 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 40 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 41 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 42 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 43 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 44 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 45 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 46 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 47 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 48 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 49 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 50 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) +=== BEST-OF-RUN === + current generation: 51 + generation: 19 + nodes: 19 + depth: 6 + hits: 940 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 940 + raw fitness: 940.0000 + standardized fitness: 940.0000 + adjusted fitness: 0.9989 +TREE: + (- (+ (* 0.00647 convex) + (+ (/ (log (- minor area)) + (/ perimeter -0.91529)) + (* eccentricity + (exp 0.91780)))) minor) diff --git a/PartB/90Cross10Mut2El/run_0/regress.prg b/PartB/90Cross10Mut2El/run_0/regress.prg new file mode 100644 index 0000000..693e67c --- /dev/null +++ b/PartB/90Cross10Mut2El/run_0/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 13698.00000, perimeter = 478.59900, major_axis_length = 199.06026, minor_axis_length = 88.78965, eccentricity = 0.89501, convex_area = 13932.00000, extent = 0.57559, type = C + area = 11870.00000, perimeter = 432.29800, major_axis_length = 177.36482, minor_axis_length = 86.76659, eccentricity = 0.87217, convex_area = 12143.00000, extent = 0.77083, type = O + area = 14504.00000, perimeter = 502.50699, major_axis_length = 212.24757, minor_axis_length = 87.93213, eccentricity = 0.91014, convex_area = 14895.00000, extent = 0.55342, type = C + area = 13450.00000, perimeter = 465.39801, major_axis_length = 193.37497, minor_axis_length = 89.50690, eccentricity = 0.88643, convex_area = 13661.00000, extent = 0.61579, type = C + area = 14005.00000, perimeter = 485.45599, major_axis_length = 207.13385, minor_axis_length = 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14136.00000, perimeter = 488.96799, major_axis_length = 203.39066, minor_axis_length = 89.78699, eccentricity = 0.89729, convex_area = 14475.00000, extent = 0.59206, type = C + area = 12683.00000, perimeter = 444.53101, major_axis_length = 176.62497, minor_axis_length = 92.58025, eccentricity = 0.85162, convex_area = 13094.00000, extent = 0.66809, type = O + area = 9592.00000, perimeter = 385.77802, major_axis_length = 157.76796, minor_axis_length = 78.39109, eccentricity = 0.86782, convex_area = 9760.00000, extent = 0.78843, type = O + area = 14011.00000, perimeter = 475.87299, major_axis_length = 197.72864, minor_axis_length = 91.15908, eccentricity = 0.88738, convex_area = 14315.00000, extent = 0.77761, type = C + area = 12070.00000, perimeter = 432.86801, major_axis_length = 177.19440, minor_axis_length = 87.37621, eccentricity = 0.86997, convex_area = 12283.00000, extent = 0.76277, type = O + area = 10667.00000, perimeter = 411.74701, major_axis_length = 163.93025, minor_axis_length = 84.71981, eccentricity = 0.85610, convex_area = 10987.00000, extent = 0.66610, type = O + area = 10388.00000, perimeter = 400.59100, major_axis_length = 166.18581, minor_axis_length = 80.09373, eccentricity = 0.87620, convex_area = 10536.00000, extent = 0.67019, type = O + area = 15032.00000, perimeter = 500.60901, major_axis_length = 209.91653, minor_axis_length = 91.92539, eccentricity = 0.89902, convex_area = 15397.00000, extent = 0.71892, type = C + area = 13651.00000, perimeter = 502.07999, major_axis_length = 222.07356, minor_axis_length = 79.33727, eccentricity = 0.93401, convex_area = 14034.00000, extent = 0.79265, type = C + area = 12663.00000, perimeter = 468.22400, major_axis_length = 199.69749, minor_axis_length = 81.61620, eccentricity = 0.91267, convex_area = 12979.00000, extent = 0.62339, type = C + area = 13567.00000, perimeter = 475.17099, major_axis_length = 197.29468, minor_axis_length = 88.91294, eccentricity = 0.89270, convex_area = 13940.00000, extent = 0.63770, type = C + area = 15037.00000, perimeter = 501.46701, major_axis_length = 208.90558, minor_axis_length = 92.30457, eccentricity = 0.89709, convex_area = 15452.00000, extent = 0.57861, type = C + area = 12287.00000, perimeter = 444.17499, major_axis_length = 181.92105, minor_axis_length = 87.73918, eccentricity = 0.87601, convex_area = 12508.00000, extent = 0.65374, type = O + area = 9798.00000, perimeter = 416.66800, major_axis_length = 182.42519, minor_axis_length = 69.40627, eccentricity = 0.92480, convex_area = 9994.00000, extent = 0.58671, type = O + area = 15809.00000, perimeter = 517.23297, major_axis_length = 222.42067, minor_axis_length = 91.56286, eccentricity = 0.91134, convex_area = 16025.00000, extent = 0.55689, type = C + area = 13764.00000, perimeter = 479.47900, major_axis_length = 199.29568, minor_axis_length = 89.99371, eccentricity = 0.89224, convex_area = 14167.00000, extent = 0.77714, type = C + area = 12198.00000, perimeter = 442.42099, major_axis_length = 183.66418, minor_axis_length = 85.49796, eccentricity = 0.88504, convex_area = 12391.00000, extent = 0.71383, type = O + area = 12659.00000, perimeter = 445.31900, major_axis_length = 179.94334, minor_axis_length = 90.13163, eccentricity = 0.86551, convex_area = 12848.00000, extent = 0.61691, type = O diff --git a/PartB/90Cross10Mut2El/run_0/regress.stt b/PartB/90Cross10Mut2El/run_0/regress.stt new file mode 100644 index 0000000..c394ed8 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_0/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9618 0.9987 0.0000 18.488 3.483 53 6 63 6 0.9618 0.9987 0.0000 18.488 3.483 53 6 63 6 +1 0 0.9906 0.9987 0.0000 17.299 3.671 53 6 26 5 0.9762 0.9987 0.0000 17.893 3.577 53 6 63 6 +2 0 0.9882 0.9987 0.0000 17.491 3.888 53 6 68 9 0.9802 0.9987 0.0000 17.759 3.681 53 6 63 6 +3 0 0.9912 0.9988 0.0000 17.086 3.961 33 9 26 5 0.9829 0.9988 0.0000 17.591 3.751 33 9 63 6 +4 0 0.9928 0.9988 0.0000 16.699 4.059 33 9 35 6 0.9849 0.9988 0.0000 17.412 3.812 33 9 63 6 +5 0 0.9928 0.9988 0.0000 15.972 4.063 33 9 10 6 0.9862 0.9988 0.0000 17.172 3.854 33 9 63 6 +6 0 0.9942 0.9988 0.0000 15.950 4.146 33 9 96 10 0.9874 0.9988 0.0000 16.998 3.896 33 9 63 6 +7 0 0.9942 0.9989 0.0000 15.586 4.146 29 6 9 4 0.9882 0.9989 0.0000 16.821 3.927 29 6 63 6 +8 0 0.9949 0.9989 0.0000 15.379 4.212 29 6 47 7 0.9890 0.9989 0.0000 16.661 3.959 29 6 63 6 +9 0 0.9956 0.9989 0.0000 15.077 4.218 29 6 37 10 0.9896 0.9989 0.0000 16.503 3.985 29 6 63 6 +10 0 0.9948 0.9989 0.0000 14.704 4.213 29 6 41 10 0.9901 0.9989 0.0000 16.339 4.005 29 6 63 6 +11 0 0.9947 0.9989 0.0000 14.516 4.244 29 6 23 6 0.9905 0.9989 0.0000 16.187 4.025 29 6 63 6 +12 0 0.9941 0.9989 0.0000 14.579 4.314 29 6 15 5 0.9908 0.9989 0.0000 16.063 4.048 29 6 63 6 +13 0 0.9948 0.9989 0.0000 14.089 4.274 29 6 68 11 0.9910 0.9989 0.0000 15.922 4.064 29 6 63 6 +14 0 0.9932 0.9989 0.0000 14.164 4.296 29 6 25 6 0.9912 0.9989 0.0000 15.805 4.079 29 6 63 6 +15 0 0.9960 0.9989 0.0000 13.747 4.248 28 8 21 9 0.9915 0.9989 0.0000 15.677 4.090 28 8 63 6 +16 0 0.9965 0.9989 0.0000 13.550 4.230 28 8 16 7 0.9918 0.9989 0.0000 15.551 4.098 28 8 63 6 +17 0 0.9954 0.9989 0.0000 13.191 4.178 28 8 24 6 0.9920 0.9989 0.0000 15.420 4.102 28 8 63 6 +18 0 0.9964 0.9989 0.0000 13.668 4.291 28 8 34 9 0.9922 0.9989 0.0000 15.328 4.112 28 8 63 6 +19 0 0.9976 0.9989 0.0000 13.281 4.222 19 6 132 13 0.9925 0.9989 0.0000 15.226 4.118 19 6 63 6 +20 0 0.9954 0.9989 0.0000 12.794 4.144 19 6 69 11 0.9926 0.9989 0.0000 15.110 4.119 19 6 63 6 +21 0 0.9962 0.9989 0.0000 12.502 4.087 19 6 23 8 0.9928 0.9989 0.0000 14.991 4.118 19 6 63 6 +22 0 0.9960 0.9989 0.0000 12.348 4.027 19 6 23 11 0.9929 0.9989 0.0000 14.876 4.114 19 6 63 6 +23 0 0.9959 0.9989 0.0000 12.097 4.014 19 6 34 10 0.9930 0.9989 0.0000 14.761 4.110 19 6 63 6 +24 0 0.9949 0.9989 0.0000 11.879 4.003 19 6 27 8 0.9931 0.9989 0.0000 14.645 4.105 19 6 63 6 +25 0 0.9958 0.9989 0.0000 11.695 3.958 19 6 27 8 0.9932 0.9989 0.0000 14.532 4.100 19 6 63 6 +26 0 0.9962 0.9989 0.0000 11.848 4.015 19 6 64 13 0.9933 0.9989 0.0000 14.433 4.096 19 6 63 6 +27 0 0.9968 0.9989 0.0000 11.383 3.898 19 6 19 7 0.9935 0.9989 0.0000 14.324 4.089 19 6 63 6 +28 0 0.9972 0.9989 0.0000 11.005 3.853 19 6 19 8 0.9936 0.9989 0.0000 14.209 4.081 19 6 63 6 +29 0 0.9966 0.9989 0.0000 11.062 3.875 19 6 34 10 0.9937 0.9989 0.0000 14.104 4.074 19 6 63 6 +30 0 0.9960 0.9989 0.0000 10.873 3.833 19 6 23 8 0.9938 0.9989 0.0000 14.000 4.067 19 6 63 6 +31 0 0.9968 0.9989 0.0000 10.729 3.830 19 6 11 4 0.9939 0.9989 0.0000 13.898 4.059 19 6 63 6 +32 0 0.9965 0.9989 0.0000 10.552 3.776 19 6 45 12 0.9939 0.9989 0.0000 13.796 4.051 19 6 63 6 +33 0 0.9967 0.9989 0.0000 10.533 3.789 19 6 17 7 0.9940 0.9989 0.0000 13.700 4.043 19 6 63 6 +34 0 0.9965 0.9989 0.0000 10.543 3.790 19 6 64 17 0.9941 0.9989 0.0000 13.610 4.036 19 6 63 6 +35 0 0.9962 0.9989 0.0000 10.345 3.731 19 6 23 10 0.9941 0.9989 0.0000 13.520 4.027 19 6 63 6 +36 0 0.9978 0.9989 0.0000 10.037 3.660 19 6 21 8 0.9942 0.9989 0.0000 13.425 4.017 19 6 63 6 +37 0 0.9968 0.9989 0.0000 9.872 3.628 19 6 35 10 0.9943 0.9989 0.0000 13.332 4.007 19 6 63 6 +38 0 0.9964 0.9989 0.0000 9.538 3.567 19 6 9 3 0.9944 0.9989 0.0000 13.235 3.996 19 6 63 6 +39 0 0.9970 0.9989 0.0000 9.238 3.483 19 6 11 5 0.9944 0.9989 0.0000 13.135 3.983 19 6 63 6 +40 0 0.9972 0.9989 0.0000 9.203 3.458 19 6 10 5 0.9945 0.9989 0.0000 13.039 3.970 19 6 63 6 +41 0 0.9974 0.9989 0.0000 9.174 3.481 19 6 30 13 0.9946 0.9989 0.0000 12.947 3.959 19 6 63 6 +42 0 0.9974 0.9989 0.0000 8.983 3.437 19 6 32 11 0.9946 0.9989 0.0000 12.855 3.946 19 6 63 6 +43 0 0.9972 0.9989 0.0000 8.842 3.380 19 6 18 6 0.9947 0.9989 0.0000 12.763 3.934 19 6 63 6 +44 0 0.9968 0.9989 0.0000 8.813 3.394 19 6 13 5 0.9947 0.9989 0.0000 12.676 3.922 19 6 63 6 +45 0 0.9974 0.9989 0.0000 8.676 3.344 19 6 7 3 0.9948 0.9989 0.0000 12.589 3.909 19 6 63 6 +46 0 0.9968 0.9989 0.0000 8.582 3.335 19 6 20 6 0.9948 0.9989 0.0000 12.503 3.897 19 6 63 6 +47 0 0.9980 0.9989 0.9851 8.473 3.303 19 6 7 3 0.9949 0.9989 0.0000 12.419 3.884 19 6 63 6 +48 0 0.9976 0.9989 0.0000 8.368 3.257 19 6 34 9 0.9950 0.9989 0.0000 12.337 3.872 19 6 63 6 +49 0 0.9974 0.9989 0.0000 8.224 3.220 19 6 32 12 0.9950 0.9989 0.0000 12.255 3.859 19 6 63 6 +50 0 0.9972 0.9989 0.0000 8.125 3.180 19 6 28 10 0.9950 0.9989 0.0000 12.174 3.845 19 6 63 6 +51 0 0.9970 0.9989 0.0000 7.994 3.160 19 6 21 6 0.9951 0.9989 0.0000 12.093 3.832 19 6 63 6 diff --git a/PartB/90Cross10Mut2El/run_0/regress.sys b/PartB/90Cross10Mut2El/run_0/regress.sys new file mode 100644 index 0000000..e48b8a2 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_0/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 330. +creating initial population(s): + 7336 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 80782980 + freed: 80734980 + not freed: 48000 + max allocated: 2564518 + malloc'ed blocks: 846542 + realloc'ed blocks: 7 + free'ed blocks: 846536 + +------- time ------- + overall: 18s wall + evaluation: 17s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8393 + freed: 8393 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_1/regress.bst b/PartB/90Cross10Mut2El/run_1/regress.bst new file mode 100644 index 0000000..579c9af --- /dev/null +++ b/PartB/90Cross10Mut2El/run_1/regress.bst @@ -0,0 +1,19 @@ +=== BEST-OF-RUN === + generation: 38 + nodes: 10 + depth: 5 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (* (/ (* major eccentricity) -0.57094) + (exp eccentricity)))) +TREE-equ: +y = log(exp((((major * eccentricity) / -0.57094) * exp(eccentricity)))) diff --git a/PartB/90Cross10Mut2El/run_1/regress.fn b/PartB/90Cross10Mut2El/run_1/regress.fn new file mode 100644 index 0000000..d79f3e5 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_1/regress.fn @@ -0,0 +1,13 @@ +Hits: 2548, Total Size: 2810, Percent Hit: 90.676157 +CC: 970 +CO: 178 +OO: 1578 +OC: 84 +Fitness: 0.998891 +Hits: 901 + + +y = log(exp((((major * eccentricity) / -0.57094) * exp(eccentricity)))) + + (log (exp (* (/ (* major eccentricity) -0.57094) + (exp eccentricity)))) diff --git a/PartB/90Cross10Mut2El/run_1/regress.gen b/PartB/90Cross10Mut2El/run_1/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_1/regress.his b/PartB/90Cross10Mut2El/run_1/regress.his new file mode 100644 index 0000000..184b2dd --- /dev/null +++ b/PartB/90Cross10Mut2El/run_1/regress.his @@ -0,0 +1,1068 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 54 + depth: 5 + hits: 679 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 679 + raw fitness: 679.0000 + standardized fitness: 679.0000 + adjusted fitness: 0.9985 +TREE: + (/ (+ (+ (* (log eccentricity) + (- minor extent)) + (* (- convex convex) + (* major major))) + (- (* (exp extent) + (log major)) + (exp (/ 0.77720 minor)))) + (- (+ (+ (+ area area) + (exp extent)) + (* (* perimeter perimeter) + (/ 0.00149 extent))) + (/ (/ (* extent convex) + (* convex perimeter)) + (+ (exp major) + (exp area))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 54 + depth: 5 + hits: 679 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 679 + raw fitness: 679.0000 + standardized fitness: 679.0000 + adjusted fitness: 0.9985 +TREE: + (/ (+ (+ (* (log eccentricity) + (- minor extent)) + (* (- convex convex) + (* major major))) + (- (* (exp extent) + (log major)) + (exp (/ 0.77720 minor)))) + (- (+ (+ (+ area area) + (exp extent)) + (* (* perimeter perimeter) + (/ 0.00149 extent))) + (/ (/ (* extent convex) + (* convex perimeter)) + (+ (exp major) + (exp area))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 54 + depth: 5 + hits: 679 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 679 + raw fitness: 679.0000 + standardized fitness: 679.0000 + adjusted fitness: 0.9985 +TREE: + (/ (+ (+ (* (log eccentricity) + (- minor extent)) + (* (- convex convex) + (* major major))) + (- (* (exp extent) + (log major)) + (exp (/ 0.77720 minor)))) + (- (+ (+ (+ area area) + (exp extent)) + (* (* perimeter perimeter) + (/ 0.00149 extent))) + (/ (/ (* extent convex) + (* convex perimeter)) + (+ (exp major) + (exp area))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 24 + depth: 7 + hits: 683 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 683 + raw fitness: 683.0000 + standardized fitness: 683.0000 + adjusted fitness: 0.9985 +TREE: + (- (* (log (log minor)) + (* (- perimeter extent) + (- (exp (+ (* eccentricity 0.02329) + (/ perimeter eccentricity))) perimeter))) + (exp (* (log perimeter) minor))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 24 + depth: 7 + hits: 683 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 683 + raw fitness: 683.0000 + standardized fitness: 683.0000 + adjusted fitness: 0.9985 +TREE: + (- (* (log (log minor)) + (* (- perimeter extent) + (- (exp (+ (* eccentricity 0.02329) + (/ perimeter eccentricity))) perimeter))) + (exp (* (log perimeter) minor))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 5 + depth: 3 + hits: 779 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 779 + raw fitness: 779.0000 + standardized fitness: 779.0000 + adjusted fitness: 0.9987 +TREE: + (log (* (exp 0.10921) eccentricity)) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 5 + depth: 3 + hits: 779 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 779 + raw fitness: 779.0000 + standardized fitness: 779.0000 + adjusted fitness: 0.9987 +TREE: + (log (* (exp 0.10921) eccentricity)) +=== BEST-OF-RUN === + current generation: 7 + generation: 5 + nodes: 5 + depth: 3 + hits: 779 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 779 + raw fitness: 779.0000 + standardized fitness: 779.0000 + adjusted fitness: 0.9987 +TREE: + (log (* (exp 0.10921) eccentricity)) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 17 + depth: 4 + hits: 862 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 862 + raw fitness: 862.0000 + standardized fitness: 862.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (exp convex)) + (- (* 0.03970 area) + (/ perimeter eccentricity))) + (+ convex + (- convex -0.85606))) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 17 + depth: 4 + hits: 862 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 862 + raw fitness: 862.0000 + standardized fitness: 862.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (exp convex)) + (- (* 0.03970 area) + (/ perimeter eccentricity))) + (+ convex + (- convex -0.85606))) +=== BEST-OF-RUN === + current generation: 10 + generation: 8 + 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=== + current generation: 13 + generation: 8 + nodes: 17 + depth: 4 + hits: 862 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 862 + raw fitness: 862.0000 + standardized fitness: 862.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (exp convex)) + (- (* 0.03970 area) + (/ perimeter eccentricity))) + (+ convex + (- convex -0.85606))) +=== BEST-OF-RUN === + current generation: 14 + generation: 8 + nodes: 17 + depth: 4 + hits: 862 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 862 + raw fitness: 862.0000 + standardized fitness: 862.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (exp convex)) + (- (* 0.03970 area) + (/ perimeter eccentricity))) + (+ convex + (- convex -0.85606))) +=== BEST-OF-RUN === + current generation: 15 + generation: 8 + nodes: 17 + depth: 4 + hits: 862 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 862 + raw fitness: 862.0000 + standardized fitness: 862.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (exp convex)) + (- (* 0.03970 area) + (/ perimeter eccentricity))) + (+ 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(exp (* (/ (* major eccentricity) -0.57094) + (exp eccentricity)))) diff --git a/PartB/90Cross10Mut2El/run_1/regress.prg b/PartB/90Cross10Mut2El/run_1/regress.prg new file mode 100644 index 0000000..3fbb5de --- /dev/null +++ b/PartB/90Cross10Mut2El/run_1/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 16302.00000, perimeter = 526.34003, major_axis_length = 225.32297, minor_axis_length = 92.99416, eccentricity = 0.91086, convex_area = 16669.00000, extent = 0.60835, type = C + area = 10386.00000, perimeter = 403.29599, major_axis_length = 166.78656, minor_axis_length = 80.29826, eccentricity = 0.87648, convex_area = 10554.00000, extent = 0.64445, type = O + area = 12626.00000, perimeter = 455.29700, major_axis_length = 188.65788, minor_axis_length = 86.60138, eccentricity = 0.88842, convex_area = 12911.00000, extent = 0.73390, type = C + area = 10634.00000, perimeter = 409.50601, major_axis_length = 167.43697, minor_axis_length = 81.81296, 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0.90865, convex_area = 13739.00000, extent = 0.72778, type = C + area = 16051.00000, perimeter = 516.17401, major_axis_length = 214.87718, minor_axis_length = 96.84511, eccentricity = 0.89268, convex_area = 16479.00000, extent = 0.67964, type = C + area = 13629.00000, perimeter = 470.67801, major_axis_length = 202.24448, minor_axis_length = 86.40013, eccentricity = 0.90415, convex_area = 13785.00000, extent = 0.56677, type = O + area = 12330.00000, perimeter = 433.06900, major_axis_length = 173.93456, minor_axis_length = 91.46205, eccentricity = 0.85058, convex_area = 12550.00000, extent = 0.68424, type = O + area = 15454.00000, perimeter = 500.89700, major_axis_length = 208.54160, minor_axis_length = 95.32327, eccentricity = 0.88942, convex_area = 15773.00000, extent = 0.58343, type = C + area = 10983.00000, perimeter = 417.70999, major_axis_length = 171.84035, minor_axis_length = 82.69301, eccentricity = 0.87660, convex_area = 11229.00000, extent = 0.77481, type = O + area = 11415.00000, perimeter = 426.16501, major_axis_length = 173.88460, minor_axis_length = 85.32835, eccentricity = 0.87132, convex_area = 11634.00000, extent = 0.59639, type = O + area = 10468.00000, perimeter = 427.71399, major_axis_length = 182.20401, minor_axis_length = 74.52766, eccentricity = 0.91252, convex_area = 10672.00000, extent = 0.53992, type = O + area = 12994.00000, perimeter = 460.94501, major_axis_length = 195.22110, minor_axis_length = 86.21172, eccentricity = 0.89721, convex_area = 13196.00000, extent = 0.81539, type = O + area = 12267.00000, perimeter = 438.26401, major_axis_length = 175.59097, minor_axis_length = 90.18748, eccentricity = 0.85802, convex_area = 12519.00000, extent = 0.62408, type = O + area = 12569.00000, perimeter = 454.10400, major_axis_length = 192.09172, minor_axis_length = 83.93651, eccentricity = 0.89948, convex_area = 12811.00000, extent = 0.56678, type = O + area = 10586.00000, perimeter = 423.74600, major_axis_length = 181.40466, minor_axis_length = 75.15121, eccentricity = 0.91015, convex_area = 10760.00000, extent = 0.78853, type = O + area = 11928.00000, perimeter = 427.07501, major_axis_length = 175.03940, minor_axis_length = 87.81713, eccentricity = 0.86504, convex_area = 12121.00000, extent = 0.62779, type = O + area = 11783.00000, perimeter = 453.10501, major_axis_length = 192.68430, minor_axis_length = 79.17371, eccentricity = 0.91168, convex_area = 12102.00000, extent = 0.67044, type = C + area = 12598.00000, perimeter = 445.18500, major_axis_length = 178.97925, minor_axis_length = 91.10216, eccentricity = 0.86076, convex_area = 12923.00000, extent = 0.63142, type = O + area = 14467.00000, perimeter = 498.62399, major_axis_length = 213.59563, minor_axis_length = 86.99999, eccentricity = 0.91329, convex_area = 14857.00000, extent = 0.74076, type = C + area = 16480.00000, perimeter = 525.15399, major_axis_length = 220.30812, minor_axis_length = 96.47744, eccentricity = 0.89901, convex_area = 16842.00000, extent = 0.57626, type = C + area = 14045.00000, perimeter = 482.74200, major_axis_length = 200.02724, minor_axis_length = 90.71384, eccentricity = 0.89125, convex_area = 14305.00000, extent = 0.57261, type = C + area = 15552.00000, perimeter = 492.98199, major_axis_length = 198.20627, minor_axis_length = 101.64401, eccentricity = 0.85850, convex_area = 15936.00000, extent = 0.62745, type = C + area = 13782.00000, perimeter = 457.49200, major_axis_length = 180.91528, minor_axis_length = 97.97388, eccentricity = 0.84067, convex_area = 14147.00000, extent = 0.65526, type = O + area = 14410.00000, perimeter = 483.80899, major_axis_length = 200.63506, minor_axis_length = 92.52118, eccentricity = 0.88733, convex_area = 14788.00000, extent = 0.58321, type = C + area = 10497.00000, perimeter = 405.34601, major_axis_length = 165.34816, minor_axis_length = 81.97666, eccentricity = 0.86845, convex_area = 10735.00000, extent = 0.66860, type = O + area = 13982.00000, perimeter = 479.78500, major_axis_length = 204.54239, minor_axis_length = 88.27965, eccentricity = 0.90207, convex_area = 14221.00000, extent = 0.77291, type = C + area = 10037.00000, perimeter = 395.34000, major_axis_length = 164.24315, minor_axis_length = 78.49976, eccentricity = 0.87839, convex_area = 10210.00000, extent = 0.76490, type = O + area = 14652.00000, perimeter = 485.54700, major_axis_length = 201.55360, minor_axis_length = 93.44862, eccentricity = 0.88602, convex_area = 14883.00000, extent = 0.59315, type = C + area = 10749.00000, perimeter = 412.42499, major_axis_length = 168.11682, minor_axis_length = 82.58827, eccentricity = 0.87102, convex_area = 11012.00000, extent = 0.70810, type = O + area = 11931.00000, perimeter = 445.10101, major_axis_length = 187.92052, minor_axis_length = 82.14220, eccentricity = 0.89941, convex_area = 12174.00000, extent = 0.64814, type = C + area = 10760.00000, perimeter = 420.94901, major_axis_length = 173.44466, minor_axis_length = 80.46677, eccentricity = 0.88587, convex_area = 11046.00000, extent = 0.58711, type = O + area = 13138.00000, perimeter = 470.41501, major_axis_length = 203.86282, minor_axis_length = 82.98421, eccentricity = 0.91340, convex_area = 13361.00000, extent = 0.81099, type = C + area = 12060.00000, perimeter = 450.15500, major_axis_length = 188.96039, minor_axis_length = 82.32945, eccentricity = 0.90009, convex_area = 12480.00000, extent = 0.62271, type = C + area = 15904.00000, perimeter = 511.02200, major_axis_length = 214.35056, minor_axis_length = 96.21210, eccentricity = 0.89361, convex_area = 16248.00000, extent = 0.71785, type = C + area = 13933.00000, perimeter = 471.71399, major_axis_length = 193.51672, minor_axis_length = 91.87624, eccentricity = 0.88011, convex_area = 14177.00000, extent = 0.74464, type = C + area = 14898.00000, perimeter = 501.49500, major_axis_length = 215.56334, minor_axis_length = 88.77060, eccentricity = 0.91127, convex_area = 15156.00000, extent = 0.65850, type = C + area = 14146.00000, perimeter = 481.18600, major_axis_length = 202.58720, minor_axis_length = 89.94490, eccentricity = 0.89604, convex_area = 14495.00000, extent = 0.60360, type = C + area = 10841.00000, perimeter = 419.10001, major_axis_length = 166.86517, minor_axis_length = 84.30315, eccentricity = 0.86299, convex_area = 11258.00000, extent = 0.69476, type = O + area = 10318.00000, perimeter = 413.21100, major_axis_length = 173.16096, minor_axis_length = 76.91557, eccentricity = 0.89593, convex_area = 10614.00000, extent = 0.68196, type = O + area = 13509.00000, perimeter = 480.46600, major_axis_length = 207.13716, minor_axis_length = 83.94016, eccentricity = 0.91421, convex_area = 13732.00000, extent = 0.59563, type = C + area = 10453.00000, perimeter = 411.44800, major_axis_length = 175.73219, minor_axis_length = 76.61852, eccentricity = 0.89995, convex_area = 10589.00000, extent = 0.80563, type = O + area = 11601.00000, perimeter = 435.55701, major_axis_length = 187.09186, minor_axis_length = 79.52679, eccentricity = 0.90516, convex_area = 11757.00000, extent = 0.72011, type = O + area = 14533.00000, perimeter = 487.20401, major_axis_length = 196.81499, minor_axis_length = 95.84308, eccentricity = 0.87342, convex_area = 14873.00000, extent = 0.65112, type = C + area = 13927.00000, perimeter = 479.35501, major_axis_length = 202.79362, minor_axis_length = 88.48322, eccentricity = 0.89979, convex_area = 14264.00000, extent = 0.77085, type = C + area = 13117.00000, perimeter = 460.57401, major_axis_length = 192.40407, minor_axis_length = 87.62899, eccentricity = 0.89027, convex_area = 13575.00000, extent = 0.78451, type = C + area = 11180.00000, perimeter = 415.41000, major_axis_length = 169.46371, minor_axis_length = 85.45352, eccentricity = 0.86355, convex_area = 11359.00000, extent = 0.77882, type = O + area = 10367.00000, perimeter = 413.95999, major_axis_length = 176.56651, minor_axis_length = 75.28862, eccentricity = 0.90453, convex_area = 10529.00000, extent = 0.56038, type = O + area = 12555.00000, perimeter = 444.57999, major_axis_length = 184.82533, minor_axis_length = 87.36723, eccentricity = 0.88122, convex_area = 12773.00000, extent = 0.65221, type = C + area = 11486.00000, perimeter = 420.85300, major_axis_length = 175.25751, minor_axis_length = 83.86408, eccentricity = 0.87808, convex_area = 11615.00000, extent = 0.77650, type = O + area = 16788.00000, perimeter = 533.48798, major_axis_length = 230.12933, minor_axis_length = 93.76288, eccentricity = 0.91323, convex_area = 17041.00000, extent = 0.57268, type = C + area = 10647.00000, perimeter = 411.13300, major_axis_length = 170.06084, minor_axis_length = 80.81935, eccentricity = 0.87986, convex_area = 10829.00000, extent = 0.80659, type = O + area = 12743.00000, perimeter = 442.73499, major_axis_length = 181.13968, minor_axis_length = 90.30119, eccentricity = 0.86688, convex_area = 12899.00000, extent = 0.72511, type = O + area = 13259.00000, perimeter = 464.40799, major_axis_length = 198.21152, minor_axis_length = 85.81574, eccentricity = 0.90142, convex_area = 13445.00000, extent = 0.58205, type = O + area = 15151.00000, perimeter = 496.19299, major_axis_length = 207.93149, minor_axis_length = 93.96302, eccentricity = 0.89207, convex_area = 15547.00000, extent = 0.76140, type = C + area = 11312.00000, perimeter = 421.54599, major_axis_length = 168.25601, minor_axis_length = 87.21075, eccentricity = 0.85519, convex_area = 11622.00000, extent = 0.76921, type = O diff --git a/PartB/90Cross10Mut2El/run_1/regress.stt b/PartB/90Cross10Mut2El/run_1/regress.stt new file mode 100644 index 0000000..ef2f340 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_1/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9540 0.9985 0.0000 18.733 3.529 54 5 76 6 0.9540 0.9985 0.0000 18.733 3.529 54 5 76 6 +1 0 0.9906 0.9985 0.0000 17.523 3.717 54 5 47 5 0.9723 0.9985 0.0000 18.128 3.623 54 5 76 6 +2 0 0.9896 0.9985 0.0000 17.415 3.889 54 5 6 3 0.9781 0.9985 0.0000 17.890 3.712 54 5 76 6 +3 0 0.9937 0.9985 0.0000 16.535 3.907 24 7 25 5 0.9820 0.9985 0.0000 17.551 3.761 24 7 76 6 +4 0 0.9934 0.9985 0.0000 16.304 3.996 24 7 14 5 0.9843 0.9985 0.0000 17.302 3.808 24 7 76 6 +5 0 0.9914 0.9987 0.0000 16.237 4.083 5 3 21 8 0.9854 0.9987 0.0000 17.124 3.854 5 3 76 6 +6 0 0.9922 0.9987 0.0000 15.661 4.084 5 3 31 7 0.9864 0.9987 0.0000 16.915 3.887 5 3 76 6 +7 0 0.9933 0.9987 0.0000 15.666 4.148 5 3 23 8 0.9873 0.9987 0.0000 16.759 3.919 5 3 76 6 +8 0 0.9928 0.9988 0.0000 15.550 4.199 17 4 31 9 0.9879 0.9988 0.0000 16.625 3.950 17 4 76 6 +9 0 0.9937 0.9988 0.0000 15.530 4.237 17 4 68 13 0.9884 0.9988 0.0000 16.515 3.979 17 4 76 6 +10 0 0.9937 0.9988 0.0000 15.895 4.351 17 4 40 6 0.9889 0.9988 0.0000 16.459 4.013 17 4 76 6 +11 0 0.9947 0.9988 0.0000 15.716 4.415 17 4 20 6 0.9894 0.9988 0.0000 16.397 4.046 17 4 76 6 +12 0 0.9923 0.9988 0.0000 15.537 4.392 17 4 20 6 0.9896 0.9988 0.0000 16.331 4.073 17 4 76 6 +13 0 0.9947 0.9988 0.0000 15.273 4.407 17 4 53 9 0.9900 0.9988 0.0000 16.255 4.097 17 4 76 6 +14 0 0.9950 0.9988 0.0000 15.140 4.376 17 4 59 14 0.9903 0.9988 0.0000 16.181 4.115 17 4 76 6 +15 0 0.9932 0.9988 0.0000 14.872 4.384 17 4 15 5 0.9905 0.9988 0.0000 16.099 4.132 17 4 76 6 +16 0 0.9954 0.9988 0.0000 14.899 4.417 17 4 34 13 0.9908 0.9988 0.0000 16.029 4.149 17 4 76 6 +17 0 0.9940 0.9988 0.0000 14.241 4.282 17 4 33 10 0.9910 0.9988 0.0000 15.929 4.156 17 4 76 6 +18 0 0.9960 0.9988 0.0000 14.244 4.307 17 4 72 17 0.9912 0.9988 0.0000 15.841 4.164 17 4 76 6 +19 0 0.9962 0.9988 0.0000 14.088 4.322 17 4 61 13 0.9915 0.9988 0.0000 15.753 4.172 17 4 76 6 +20 0 0.9946 0.9988 0.0000 14.002 4.375 17 4 41 13 0.9916 0.9988 0.0000 15.669 4.182 17 4 76 6 +21 0 0.9958 0.9988 0.0000 13.956 4.409 17 4 37 13 0.9918 0.9988 0.0000 15.592 4.192 17 4 76 6 +22 0 0.9973 0.9988 0.0000 13.532 4.331 17 4 44 13 0.9921 0.9988 0.0000 15.502 4.198 17 4 76 6 +23 0 0.9959 0.9988 0.0000 13.183 4.273 17 4 37 10 0.9922 0.9988 0.0000 15.405 4.201 17 4 76 6 +24 0 0.9956 0.9988 0.0000 12.949 4.233 17 4 23 8 0.9923 0.9988 0.0000 15.307 4.203 17 4 76 6 +25 0 0.9962 0.9988 0.0000 13.152 4.291 17 4 10 4 0.9925 0.9988 0.0000 15.224 4.206 17 4 76 6 +26 0 0.9960 0.9988 0.0000 12.875 4.230 17 4 38 10 0.9926 0.9988 0.0000 15.137 4.207 17 4 76 6 +27 0 0.9952 0.9988 0.0000 12.416 4.162 17 4 19 6 0.9927 0.9988 0.0000 15.040 4.205 17 4 76 6 +28 0 0.9960 0.9988 0.0000 12.326 4.176 17 4 29 7 0.9928 0.9988 0.0000 14.947 4.204 17 4 76 6 +29 0 0.9958 0.9988 0.0000 12.064 4.151 17 4 39 13 0.9929 0.9988 0.0000 14.850 4.202 17 4 76 6 +30 0 0.9954 0.9988 0.0000 11.987 4.130 17 4 31 17 0.9930 0.9988 0.0000 14.758 4.200 17 4 76 6 +31 0 0.9960 0.9988 0.0000 11.821 4.080 17 4 25 10 0.9931 0.9988 0.0000 14.666 4.196 17 4 76 6 +32 0 0.9948 0.9988 0.0000 11.628 4.062 17 4 68 15 0.9931 0.9988 0.0000 14.574 4.192 17 4 76 6 +33 0 0.9949 0.9988 0.0000 11.482 4.013 17 4 22 7 0.9932 0.9988 0.0000 14.483 4.187 17 4 76 6 +34 0 0.9960 0.9988 0.0000 11.416 4.005 17 4 56 14 0.9933 0.9988 0.0000 14.396 4.182 17 4 76 6 +35 0 0.9972 0.9988 0.0000 11.070 3.945 17 4 19 9 0.9934 0.9988 0.0000 14.303 4.175 17 4 76 6 +36 0 0.9960 0.9988 0.0000 10.761 3.895 17 4 16 7 0.9935 0.9988 0.0000 14.207 4.168 17 4 76 6 +37 0 0.9972 0.9988 0.0000 10.541 3.897 17 4 22 8 0.9936 0.9988 0.0000 14.111 4.160 17 4 76 6 +38 0 0.9960 0.9989 0.0000 10.540 3.913 10 5 10 4 0.9936 0.9989 0.0000 14.019 4.154 10 5 76 6 +39 0 0.9962 0.9989 0.0000 10.431 3.885 10 5 14 5 0.9937 0.9989 0.0000 13.930 4.147 10 5 76 6 +40 0 0.9966 0.9989 0.0000 10.233 3.846 10 5 17 7 0.9937 0.9989 0.0000 13.840 4.140 10 5 76 6 +41 0 0.9966 0.9989 0.0000 9.945 3.750 10 5 30 13 0.9938 0.9989 0.0000 13.747 4.131 10 5 76 6 +42 0 0.9946 0.9989 0.0000 9.993 3.765 10 5 15 7 0.9938 0.9989 0.0000 13.660 4.122 10 5 76 6 +43 0 0.9950 0.9989 0.0000 9.742 3.665 10 5 10 4 0.9939 0.9989 0.0000 13.570 4.112 10 5 76 6 +44 0 0.9958 0.9989 0.0000 9.674 3.676 10 5 9 5 0.9939 0.9989 0.0000 13.484 4.102 10 5 76 6 +45 0 0.9970 0.9989 0.0000 9.555 3.645 10 5 28 8 0.9940 0.9989 0.0000 13.398 4.092 10 5 76 6 +46 0 0.9968 0.9989 0.0000 9.266 3.571 10 5 10 4 0.9940 0.9989 0.0000 13.311 4.081 10 5 76 6 +47 0 0.9958 0.9989 0.0000 9.221 3.555 10 5 44 14 0.9941 0.9989 0.0000 13.225 4.070 10 5 76 6 +48 0 0.9974 0.9989 0.0000 9.134 3.539 10 5 23 8 0.9941 0.9989 0.0000 13.142 4.059 10 5 76 6 +49 0 0.9966 0.9989 0.0000 9.158 3.526 10 5 76 14 0.9942 0.9989 0.0000 13.062 4.049 10 5 76 6 +50 0 0.9974 0.9989 0.0000 8.743 3.401 10 5 14 5 0.9942 0.9989 0.0000 12.978 4.036 10 5 76 6 +51 0 0.9962 0.9989 0.0000 8.605 3.343 10 5 14 5 0.9943 0.9989 0.0000 12.893 4.023 10 5 76 6 diff --git a/PartB/90Cross10Mut2El/run_1/regress.sys b/PartB/90Cross10Mut2El/run_1/regress.sys new file mode 100644 index 0000000..d3e159f --- /dev/null +++ b/PartB/90Cross10Mut2El/run_1/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 957. +creating initial population(s): + 7357 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 84134560 + freed: 84086560 + not freed: 48000 + max allocated: 2580950 + malloc'ed blocks: 847355 + realloc'ed blocks: 7 + free'ed blocks: 847349 + +------- time ------- + overall: 18s wall + evaluation: 14s wall + breeding: 4s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8134 + freed: 8134 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_2/regress.bst b/PartB/90Cross10Mut2El/run_2/regress.bst new file mode 100644 index 0000000..9dc01b9 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_2/regress.bst @@ -0,0 +1,24 @@ +=== BEST-OF-RUN === + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +TREE-equ: +y = log(log((log(perimeter) / log(log((((extent - -0.06463) - ((log(0.82841) - (extent + exp(exp(eccentricity)))) - (minor * log(perimeter)))) + convex)))))) diff --git a/PartB/90Cross10Mut2El/run_2/regress.fn b/PartB/90Cross10Mut2El/run_2/regress.fn new file mode 100644 index 0000000..4346bce --- /dev/null +++ b/PartB/90Cross10Mut2El/run_2/regress.fn @@ -0,0 +1,18 @@ +Hits: 2577, Total Size: 2810, Percent Hit: 91.708185 +CC: 1048 +CO: 82 +OO: 1529 +OC: 151 +Fitness: 0.998917 +Hits: 922 + + +y = log(log((log(perimeter) / log(log((((extent - -0.06463) - ((log(0.82841) - (extent + exp(exp(eccentricity)))) - (minor * log(perimeter)))) + convex)))))) + + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) diff --git a/PartB/90Cross10Mut2El/run_2/regress.gen b/PartB/90Cross10Mut2El/run_2/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_2/regress.his b/PartB/90Cross10Mut2El/run_2/regress.his new file mode 100644 index 0000000..b2501c2 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_2/regress.his @@ -0,0 +1,1135 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 17 + depth: 5 + hits: 864 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 864 + raw fitness: 864.0000 + standardized fitness: 864.0000 + adjusted fitness: 0.9988 +TREE: + (log (* (/ (log (log eccentricity)) + (exp (exp 0.60756))) + (log (/ (+ major eccentricity) + (* area -0.26991))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 17 + depth: 5 + hits: 864 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 864 + raw fitness: 864.0000 + standardized fitness: 864.0000 + adjusted fitness: 0.9988 +TREE: + (log (* (/ (log (log eccentricity)) + (exp (exp 0.60756))) + (log (/ (+ major eccentricity) + (* area -0.26991))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 17 + depth: 5 + hits: 864 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 864 + raw fitness: 864.0000 + standardized fitness: 864.0000 + adjusted fitness: 0.9988 +TREE: + (log (* (/ (log (log eccentricity)) + (exp (exp 0.60756))) + (log (/ (+ major eccentricity) + (* area -0.26991))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 3 + nodes: 10 + depth: 6 + hits: 884 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 884 + raw fitness: 884.0000 + standardized fitness: 884.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ extent convex)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 23 + depth: 10 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor extent))) convex)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 11 + nodes: 23 + depth: 10 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor extent))) convex)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 12 + depth: 7 + hits: 913 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 913 + raw fitness: 913.0000 + standardized fitness: 913.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- perimeter minor) convex)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 14 + nodes: 27 + depth: 12 + hits: 919 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 919 + raw fitness: 919.0000 + standardized fitness: 919.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (exp (- extent + (log extent)))))) convex)))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 24 + depth: 10 + hits: 920 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 920 + raw fitness: 920.0000 + standardized fitness: 920.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 23 + nodes: 24 + depth: 10 + hits: 920 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 920 + raw fitness: 920.0000 + standardized fitness: 920.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 23 + nodes: 24 + depth: 10 + hits: 920 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 920 + raw fitness: 920.0000 + standardized fitness: 920.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent major)) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) +=== BEST-OF-RUN === + current generation: 51 + generation: 26 + nodes: 26 + depth: 12 + hits: 922 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 922 + raw fitness: 922.0000 + standardized fitness: 922.0000 + adjusted fitness: 0.9989 +TREE: + (log (log (/ (log perimeter) + (log (log (+ (- (- extent -0.06463) + (- (- (log 0.82841) + (+ extent + (exp (exp eccentricity)))) + (* minor + (log perimeter)))) convex)))))) diff --git a/PartB/90Cross10Mut2El/run_2/regress.prg b/PartB/90Cross10Mut2El/run_2/regress.prg new file mode 100644 index 0000000..55fc2cb --- /dev/null +++ b/PartB/90Cross10Mut2El/run_2/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 11253.00000, perimeter = 422.87799, major_axis_length = 173.48373, minor_axis_length = 84.12681, eccentricity = 0.87456, convex_area = 11556.00000, extent = 0.75200, type = O + area = 14511.00000, perimeter = 510.28500, major_axis_length = 216.34650, minor_axis_length = 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0.9989 0.0000 16.341 3.838 10 6 52 6 +8 0 0.9936 0.9989 0.0000 14.864 4.069 10 6 21 6 0.9882 0.9989 0.0000 16.177 3.864 10 6 52 6 +9 0 0.9948 0.9989 0.0000 14.486 4.052 10 6 13 5 0.9889 0.9989 0.0000 16.008 3.883 10 6 52 6 +10 0 0.9952 0.9989 0.0000 14.560 4.110 10 6 32 8 0.9894 0.9989 0.0000 15.876 3.903 10 6 52 6 +11 0 0.9942 0.9989 0.0000 14.541 4.202 23 10 31 9 0.9898 0.9989 0.0000 15.765 3.928 23 10 52 6 +12 0 0.9950 0.9989 0.0000 14.358 4.224 23 10 11 6 0.9902 0.9989 0.0000 15.657 3.951 23 10 52 6 +13 0 0.9940 0.9989 0.0000 14.216 4.279 12 7 49 13 0.9905 0.9989 0.0000 15.554 3.974 12 7 52 6 +14 0 0.9942 0.9989 0.0000 14.027 4.258 27 12 18 7 0.9908 0.9989 0.0000 15.452 3.993 27 12 52 6 +15 0 0.9942 0.9989 0.0000 13.526 4.228 27 12 16 6 0.9910 0.9989 0.0000 15.332 4.008 27 12 52 6 +16 0 0.9952 0.9989 0.0000 13.240 4.194 27 12 18 7 0.9912 0.9989 0.0000 15.209 4.019 27 12 52 6 +17 0 0.9950 0.9989 0.0000 13.418 4.277 27 12 29 8 0.9914 0.9989 0.0000 15.109 4.033 27 12 52 6 +18 0 0.9962 0.9989 0.0000 13.736 4.360 27 12 18 6 0.9917 0.9989 0.0000 15.037 4.050 27 12 52 6 +19 0 0.9952 0.9989 0.0000 13.210 4.264 27 12 21 6 0.9919 0.9989 0.0000 14.946 4.061 27 12 52 6 +20 0 0.9944 0.9989 0.0000 13.174 4.268 27 12 111 12 0.9920 0.9989 0.0000 14.861 4.071 27 12 52 6 +21 0 0.9952 0.9989 0.0000 12.994 4.260 27 12 21 5 0.9921 0.9989 0.0000 14.776 4.079 27 12 52 6 +22 0 0.9950 0.9989 0.0000 12.768 4.231 27 12 38 10 0.9922 0.9989 0.0000 14.689 4.086 27 12 52 6 +23 0 0.9968 0.9989 0.0000 12.786 4.245 24 10 37 15 0.9924 0.9989 0.0000 14.610 4.093 24 10 52 6 +24 0 0.9956 0.9989 0.0000 12.569 4.216 24 10 27 8 0.9926 0.9989 0.0000 14.528 4.098 24 10 52 6 +25 0 0.9950 0.9989 0.0000 12.328 4.194 24 10 30 9 0.9927 0.9989 0.0000 14.444 4.101 24 10 52 6 +26 0 0.9946 0.9989 0.0000 11.859 4.092 26 12 31 9 0.9927 0.9989 0.0000 14.348 4.101 26 12 52 6 +27 0 0.9950 0.9989 0.0000 11.308 3.961 26 12 8 3 0.9928 0.9989 0.0000 14.239 4.096 26 12 52 6 +28 0 0.9956 0.9989 0.0000 11.192 3.961 26 12 37 11 0.9929 0.9989 0.0000 14.134 4.091 26 12 52 6 +29 0 0.9962 0.9989 0.0000 10.973 3.917 26 12 15 7 0.9930 0.9989 0.0000 14.029 4.086 26 12 52 6 +30 0 0.9966 0.9989 0.0000 10.672 3.865 26 12 12 5 0.9931 0.9989 0.0000 13.920 4.078 26 12 52 6 +31 0 0.9970 0.9989 0.0000 10.638 3.875 26 12 33 8 0.9933 0.9989 0.0000 13.818 4.072 26 12 52 6 +32 0 0.9964 0.9989 0.0000 10.601 3.872 26 12 29 9 0.9934 0.9989 0.0000 13.720 4.066 26 12 52 6 +33 0 0.9972 0.9989 0.0000 10.431 3.853 26 12 29 9 0.9935 0.9989 0.0000 13.624 4.060 26 12 52 6 +34 0 0.9956 0.9989 0.0000 10.215 3.785 26 12 36 10 0.9935 0.9989 0.0000 13.526 4.052 26 12 52 6 +35 0 0.9974 0.9989 0.0000 10.148 3.787 26 12 10 5 0.9936 0.9989 0.0000 13.432 4.045 26 12 52 6 +36 0 0.9970 0.9989 0.0000 9.840 3.699 26 12 26 11 0.9937 0.9989 0.0000 13.335 4.035 26 12 52 6 +37 0 0.9958 0.9989 0.0000 9.944 3.735 26 12 8 4 0.9938 0.9989 0.0000 13.246 4.027 26 12 52 6 +38 0 0.9962 0.9989 0.0000 9.769 3.684 26 12 24 7 0.9938 0.9989 0.0000 13.157 4.018 26 12 52 6 +39 0 0.9960 0.9989 0.0000 9.862 3.729 26 12 27 8 0.9939 0.9989 0.0000 13.075 4.011 26 12 52 6 +40 0 0.9968 0.9989 0.0000 9.677 3.657 26 12 12 7 0.9940 0.9989 0.0000 12.992 4.003 26 12 52 6 +41 0 0.9962 0.9989 0.0000 9.555 3.634 26 12 8 4 0.9940 0.9989 0.0000 12.910 3.994 26 12 52 6 +42 0 0.9972 0.9989 0.0000 9.383 3.604 26 12 27 9 0.9941 0.9989 0.0000 12.828 3.985 26 12 52 6 +43 0 0.9966 0.9989 0.0000 9.187 3.547 26 12 24 9 0.9941 0.9989 0.0000 12.745 3.975 26 12 52 6 +44 0 0.9974 0.9989 0.0000 9.058 3.495 26 12 19 7 0.9942 0.9989 0.0000 12.663 3.964 26 12 52 6 +45 0 0.9978 0.9989 0.0000 8.835 3.458 26 12 18 8 0.9943 0.9989 0.0000 12.580 3.953 26 12 52 6 +46 0 0.9976 0.9989 0.0000 8.882 3.456 26 12 13 5 0.9944 0.9989 0.0000 12.501 3.943 26 12 52 6 +47 0 0.9974 0.9989 0.0000 9.034 3.526 26 12 10 4 0.9944 0.9989 0.0000 12.429 3.934 26 12 52 6 +48 0 0.9972 0.9989 0.0000 8.966 3.522 26 12 69 14 0.9945 0.9989 0.0000 12.358 3.925 26 12 52 6 +49 0 0.9966 0.9989 0.0000 8.947 3.520 26 12 34 10 0.9945 0.9989 0.0000 12.290 3.917 26 12 52 6 +50 0 0.9972 0.9989 0.0000 8.689 3.408 26 12 14 5 0.9946 0.9989 0.0000 12.219 3.907 26 12 52 6 +51 0 0.9968 0.9989 0.0000 8.606 3.393 26 12 11 6 0.9946 0.9989 0.0000 12.150 3.897 26 12 52 6 diff --git a/PartB/90Cross10Mut2El/run_2/regress.sys b/PartB/90Cross10Mut2El/run_2/regress.sys new file mode 100644 index 0000000..b5eca0a --- /dev/null +++ b/PartB/90Cross10Mut2El/run_2/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 274. +creating initial population(s): + 7350 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 81165238 + freed: 81117238 + not freed: 48000 + max allocated: 2571486 + malloc'ed blocks: 847867 + realloc'ed blocks: 7 + free'ed blocks: 847861 + +------- time ------- + overall: 18s wall + evaluation: 16s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8406 + freed: 8406 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_3/regress.bst b/PartB/90Cross10Mut2El/run_3/regress.bst new file mode 100644 index 0000000..5c4e0af --- /dev/null +++ b/PartB/90Cross10Mut2El/run_3/regress.bst @@ -0,0 +1,19 @@ +=== BEST-OF-RUN === + generation: 34 + nodes: 8 + depth: 5 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log perimeter) -0.50063)))) +TREE-equ: +y = log((-0.04667 / exp((log(perimeter) * -0.50063)))) diff --git a/PartB/90Cross10Mut2El/run_3/regress.fn b/PartB/90Cross10Mut2El/run_3/regress.fn new file mode 100644 index 0000000..5cf78ec --- /dev/null +++ b/PartB/90Cross10Mut2El/run_3/regress.fn @@ -0,0 +1,13 @@ +Hits: 2565, Total Size: 2810, Percent Hit: 91.281139 +CC: 1034 +CO: 93 +OO: 1531 +OC: 152 +Fitness: 0.998896 +Hits: 905 + + +y = log((-0.04667 / exp((log(perimeter) * -0.50063)))) + + (log (/ -0.04667 + (exp (* (log perimeter) -0.50063)))) diff --git a/PartB/90Cross10Mut2El/run_3/regress.gen b/PartB/90Cross10Mut2El/run_3/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_3/regress.his b/PartB/90Cross10Mut2El/run_3/regress.his new file mode 100644 index 0000000..2629f51 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_3/regress.his @@ -0,0 +1,1038 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 72 + depth: 6 + hits: 728 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 728 + raw fitness: 728.0000 + standardized fitness: 728.0000 + adjusted fitness: 0.9986 +TREE: + (/ (* (+ (+ (exp (exp extent)) + (log (* convex minor))) + (* (+ (exp eccentricity) + (/ minor convex)) + (- (/ major convex) + (log convex)))) + (log (log (* (/ -0.74031 -0.72766) + (log minor))))) + (/ (- (exp (- (+ eccentricity perimeter) + (- area convex))) + (log (- (- area minor) + (exp extent)))) + (+ (- (exp (/ area perimeter)) + (log (/ perimeter -0.50419))) + (- (- (+ -0.84937 extent) + (exp 0.52603)) + (+ (* extent minor) + (log perimeter)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 72 + depth: 6 + hits: 728 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 728 + raw fitness: 728.0000 + standardized fitness: 728.0000 + adjusted fitness: 0.9986 +TREE: + (/ (* (+ (+ (exp (exp extent)) + (log (* convex minor))) + (* (+ (exp eccentricity) + (/ minor convex)) + (- (/ major convex) + (log convex)))) + (log (log (* (/ -0.74031 -0.72766) + (log minor))))) + (/ (- (exp (- (+ eccentricity perimeter) + (- area convex))) + (log (- (- area minor) + (exp extent)))) + (+ (- (exp (/ area perimeter)) + (log (/ perimeter -0.50419))) + (- (- (+ -0.84937 extent) + (exp 0.52603)) + (+ (* extent minor) + (log perimeter)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 5 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 6 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 7 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 8 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 9 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 10 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 11 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 12 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 13 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 14 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 15 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 16 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 17 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 18 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 19 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 20 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 21 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 22 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 23 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 24 + generation: 2 + nodes: 20 + depth: 4 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (/ (/ (/ (- convex perimeter) + (+ 0.06945 extent)) + (- (/ perimeter perimeter) + (* extent convex))) + (exp (/ major -0.24243))) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 12 + depth: 6 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (log (exp (/ minor + (log eccentricity)))) convex) + (/ minor eccentricity)) +=== BEST-OF-RUN === + current generation: 26 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log (+ eccentricity perimeter)) -0.50063)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log (+ eccentricity perimeter)) -0.50063)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log (+ eccentricity perimeter)) -0.50063)))) +=== BEST-OF-RUN === + current generation: 29 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log (+ eccentricity perimeter)) -0.50063)))) +=== BEST-OF-RUN === + current generation: 30 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log (+ eccentricity perimeter)) -0.50063)))) +=== BEST-OF-RUN === + current generation: 31 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ -0.04667 + (exp (* (log (+ eccentricity perimeter)) -0.50063)))) +=== BEST-OF-RUN === + current generation: 32 + generation: 26 + nodes: 10 + depth: 6 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 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major_axis_length = 166.02318, minor_axis_length = 83.88680, eccentricity = 0.86296, convex_area = 10978.00000, extent = 0.77216, type = O + area = 11182.00000, perimeter = 429.59500, major_axis_length = 181.43217, minor_axis_length = 79.18195, eccentricity = 0.89974, convex_area = 11389.00000, extent = 0.67976, type = O + area = 13010.00000, perimeter = 450.56100, major_axis_length = 186.14745, minor_axis_length = 90.26014, eccentricity = 0.87458, convex_area = 13184.00000, extent = 0.63337, type = O + area = 10802.00000, perimeter = 424.64801, major_axis_length = 177.29662, minor_axis_length = 78.94319, eccentricity = 0.89540, convex_area = 11019.00000, extent = 0.65610, type = O + area = 10293.00000, perimeter = 413.28699, major_axis_length = 171.63895, minor_axis_length = 77.05096, eccentricity = 0.89358, convex_area = 10560.00000, extent = 0.58938, type = O + area = 14570.00000, perimeter = 469.98199, major_axis_length = 185.40146, minor_axis_length = 100.88792, eccentricity = 0.83898, convex_area = 14895.00000, extent = 0.65454, type = C + area = 12103.00000, perimeter = 456.36499, major_axis_length = 189.78593, minor_axis_length = 82.76078, eccentricity = 0.89991, convex_area = 12483.00000, extent = 0.62905, type = O + area = 10193.00000, perimeter = 409.79501, major_axis_length = 174.16962, minor_axis_length = 75.03091, eccentricity = 0.90245, convex_area = 10377.00000, extent = 0.75644, type = O + area = 12146.00000, perimeter = 442.24701, major_axis_length = 176.50616, minor_axis_length = 89.75159, eccentricity = 0.86107, convex_area = 12502.00000, extent = 0.77541, type = O + area = 11212.00000, perimeter = 413.56601, major_axis_length = 169.67810, minor_axis_length = 84.63475, eccentricity = 0.86672, convex_area = 11400.00000, extent = 0.80889, type = O + area = 14479.00000, perimeter = 473.95700, major_axis_length = 193.13182, minor_axis_length = 96.94859, eccentricity = 0.86488, convex_area = 14812.00000, extent = 0.63664, type = C + area = 12411.00000, perimeter = 443.55499, major_axis_length = 178.22722, minor_axis_length = 90.22404, eccentricity = 0.86240, convex_area = 12780.00000, extent = 0.64053, type = O diff --git a/PartB/90Cross10Mut2El/run_3/regress.stt b/PartB/90Cross10Mut2El/run_3/regress.stt new file mode 100644 index 0000000..8b2ce2f --- /dev/null +++ b/PartB/90Cross10Mut2El/run_3/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9601 0.9986 0.0000 18.423 3.468 72 6 25 5 0.9601 0.9986 0.0000 18.423 3.468 72 6 25 5 +1 0 0.9882 0.9986 0.0000 17.133 3.641 72 6 30 6 0.9741 0.9986 0.0000 17.778 3.555 72 6 25 5 +2 0 0.9898 0.9988 0.0000 16.573 3.748 20 4 15 9 0.9794 0.9988 0.0000 17.376 3.619 20 4 25 5 +3 0 0.9918 0.9988 0.0000 16.492 3.863 20 4 21 4 0.9825 0.9988 0.0000 17.155 3.680 20 4 25 5 +4 0 0.9910 0.9988 0.0000 16.077 3.901 20 4 66 9 0.9842 0.9988 0.0000 16.940 3.724 20 4 25 5 +5 0 0.9918 0.9988 0.0000 16.193 4.008 20 4 46 8 0.9855 0.9988 0.0000 16.815 3.772 20 4 25 5 +6 0 0.9936 0.9988 0.0000 15.933 4.077 20 4 12 5 0.9866 0.9988 0.0000 16.689 3.815 20 4 25 5 +7 0 0.9934 0.9988 0.0000 15.491 4.088 20 4 12 4 0.9875 0.9988 0.0000 16.540 3.849 20 4 25 5 +8 0 0.9964 0.9988 0.0000 15.281 4.120 20 4 75 10 0.9885 0.9988 0.0000 16.400 3.879 20 4 25 5 +9 0 0.9930 0.9988 0.0000 14.910 4.099 20 4 53 11 0.9889 0.9988 0.0000 16.251 3.901 20 4 25 5 +10 0 0.9948 0.9988 0.0000 14.955 4.195 20 4 63 9 0.9895 0.9988 0.0000 16.133 3.928 20 4 25 5 +11 0 0.9932 0.9988 0.0000 14.572 4.215 20 4 55 9 0.9898 0.9988 0.0000 16.003 3.952 20 4 25 5 +12 0 0.9956 0.9988 0.0000 14.218 4.172 20 4 51 8 0.9902 0.9988 0.0000 15.866 3.969 20 4 25 5 +13 0 0.9958 0.9988 0.0000 14.021 4.172 20 4 51 9 0.9906 0.9988 0.0000 15.734 3.983 20 4 25 5 +14 0 0.9946 0.9988 0.0000 13.912 4.207 20 4 38 9 0.9909 0.9988 0.0000 15.612 3.998 20 4 25 5 +15 0 0.9944 0.9988 0.0000 13.868 4.233 20 4 13 5 0.9911 0.9988 0.0000 15.503 4.013 20 4 25 5 +16 0 0.9932 0.9988 0.0000 13.624 4.188 20 4 5 2 0.9912 0.9988 0.0000 15.393 4.023 20 4 25 5 +17 0 0.9942 0.9988 0.0000 13.246 4.132 20 4 26 8 0.9914 0.9988 0.0000 15.274 4.029 20 4 25 5 +18 0 0.9961 0.9988 0.0000 12.653 4.057 20 4 112 17 0.9916 0.9988 0.0000 15.136 4.031 20 4 25 5 +19 0 0.9950 0.9988 0.0000 12.720 4.136 20 4 49 10 0.9918 0.9988 0.0000 15.015 4.036 20 4 25 5 +20 0 0.9956 0.9988 0.0000 12.237 4.073 20 4 9 5 0.9920 0.9988 0.0000 14.883 4.038 20 4 25 5 +21 0 0.9958 0.9988 0.0000 11.930 4.012 20 4 15 7 0.9922 0.9988 0.0000 14.748 4.037 20 4 25 5 +22 0 0.9958 0.9988 0.0000 11.881 4.041 20 4 48 15 0.9923 0.9988 0.0000 14.624 4.037 20 4 25 5 +23 0 0.9964 0.9988 0.0000 11.846 4.022 20 4 8 3 0.9925 0.9988 0.0000 14.508 4.036 20 4 25 5 +24 0 0.9962 0.9988 0.0000 11.660 3.976 20 4 39 8 0.9926 0.9988 0.0000 14.394 4.034 20 4 25 5 +25 0 0.9958 0.9989 0.0000 11.377 3.938 12 6 8 4 0.9928 0.9989 0.0000 14.278 4.030 12 6 25 5 +26 0 0.9952 0.9989 0.0000 11.273 3.927 10 6 7 3 0.9929 0.9989 0.0000 14.167 4.026 10 6 25 5 +27 0 0.9956 0.9989 0.0000 11.030 3.902 10 6 12 5 0.9930 0.9989 0.0000 14.055 4.022 10 6 25 5 +28 0 0.9968 0.9989 0.0000 10.639 3.782 10 6 17 7 0.9931 0.9989 0.0000 13.937 4.014 10 6 25 5 +29 0 0.9958 0.9989 0.0000 10.480 3.766 10 6 20 5 0.9932 0.9989 0.0000 13.822 4.005 10 6 25 5 +30 0 0.9956 0.9989 0.0000 10.415 3.796 10 6 17 5 0.9933 0.9989 0.0000 13.712 3.999 10 6 25 5 +31 0 0.9966 0.9989 0.0000 10.497 3.872 10 6 23 8 0.9934 0.9989 0.0000 13.611 3.995 10 6 25 5 +32 0 0.9948 0.9989 0.0000 10.256 3.820 10 6 22 10 0.9934 0.9989 0.0000 13.510 3.989 10 6 25 5 +33 0 0.9966 0.9989 0.0000 10.149 3.786 10 6 35 14 0.9935 0.9989 0.0000 13.411 3.983 10 6 25 5 +34 0 0.9966 0.9989 0.0000 10.269 3.826 8 5 22 9 0.9936 0.9989 0.0000 13.321 3.979 8 5 25 5 +35 0 0.9964 0.9989 0.0000 10.089 3.784 8 5 29 8 0.9937 0.9989 0.0000 13.231 3.973 8 5 25 5 +36 0 0.9960 0.9989 0.0000 10.081 3.799 8 5 19 6 0.9937 0.9989 0.0000 13.146 3.969 8 5 25 5 +37 0 0.9956 0.9989 0.0000 10.061 3.771 8 5 18 8 0.9938 0.9989 0.0000 13.065 3.964 8 5 25 5 +38 0 0.9966 0.9989 0.0000 9.910 3.769 8 5 7 3 0.9939 0.9989 0.0000 12.984 3.959 8 5 25 5 +39 0 0.9968 0.9989 0.0000 9.773 3.774 8 5 17 6 0.9939 0.9989 0.0000 12.904 3.954 8 5 25 5 +40 0 0.9962 0.9989 0.0000 9.759 3.766 8 5 39 13 0.9940 0.9989 0.0000 12.827 3.949 8 5 25 5 +41 0 0.9968 0.9989 0.0000 9.566 3.703 8 5 9 4 0.9940 0.9989 0.0000 12.749 3.943 8 5 25 5 +42 0 0.9972 0.9989 0.0000 9.473 3.671 8 5 12 6 0.9941 0.9989 0.0000 12.673 3.937 8 5 25 5 +43 0 0.9960 0.9989 0.0000 9.365 3.591 8 5 49 8 0.9942 0.9989 0.0000 12.598 3.929 8 5 25 5 +44 0 0.9974 0.9989 0.0000 9.097 3.528 8 5 28 10 0.9942 0.9989 0.0000 12.520 3.920 8 5 25 5 +45 0 0.9968 0.9989 0.0000 8.733 3.401 8 5 25 12 0.9943 0.9989 0.0000 12.438 3.909 8 5 25 5 +46 0 0.9974 0.9989 0.0000 8.801 3.433 8 5 82 15 0.9944 0.9989 0.0000 12.361 3.899 8 5 25 5 +47 0 0.9972 0.9989 0.0000 8.844 3.441 8 5 32 8 0.9944 0.9989 0.0000 12.287 3.889 8 5 25 5 +48 0 0.9976 0.9989 0.0000 8.958 3.482 8 5 24 7 0.9945 0.9989 0.0000 12.219 3.881 8 5 25 5 +49 0 0.9976 0.9989 0.0000 9.010 3.493 8 5 10 4 0.9945 0.9989 0.0000 12.155 3.873 8 5 25 5 +50 0 0.9972 0.9989 0.0000 8.878 3.421 8 5 35 13 0.9946 0.9989 0.0000 12.091 3.864 8 5 25 5 +51 0 0.9972 0.9989 0.0000 8.820 3.401 8 5 17 8 0.9947 0.9989 0.0000 12.028 3.856 8 5 25 5 diff --git a/PartB/90Cross10Mut2El/run_3/regress.sys b/PartB/90Cross10Mut2El/run_3/regress.sys new file mode 100644 index 0000000..74ce521 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_3/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 38. +creating initial population(s): + 7353 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 80136227 + freed: 80088227 + not freed: 48000 + max allocated: 2553141 + malloc'ed blocks: 845960 + realloc'ed blocks: 7 + free'ed blocks: 845954 + +------- time ------- + overall: 18s wall + evaluation: 17s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8153 + freed: 8153 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_4/regress.bst b/PartB/90Cross10Mut2El/run_4/regress.bst new file mode 100644 index 0000000..6717bc9 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_4/regress.bst @@ -0,0 +1,26 @@ +=== BEST-OF-RUN === + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +TREE-equ: +y = log(exp((extent + ((((log(log(eccentricity)) * (major * minor)) / log(((area - major) - (major * eccentricity)))) / (log(-0.21330) + log(((convex * convex) / (minor + major))))) - (eccentricity * perimeter))))) diff --git a/PartB/90Cross10Mut2El/run_4/regress.fn b/PartB/90Cross10Mut2El/run_4/regress.fn new file mode 100644 index 0000000..7b8cc26 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_4/regress.fn @@ -0,0 +1,20 @@ +Hits: 2600, Total Size: 2810, Percent Hit: 92.526690 +CC: 1005 +CO: 148 +OO: 1595 +OC: 62 +Fitness: 0.998900 +Hits: 908 + + +y = log(exp((extent + ((((log(log(eccentricity)) * (major * minor)) / log(((area - major) - (major * eccentricity)))) / (log(-0.21330) + log(((convex * convex) / (minor + major))))) - (eccentricity * perimeter))))) + + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) diff --git a/PartB/90Cross10Mut2El/run_4/regress.gen b/PartB/90Cross10Mut2El/run_4/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_4/regress.his b/PartB/90Cross10Mut2El/run_4/regress.his new file mode 100644 index 0000000..fe88065 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_4/regress.his @@ -0,0 +1,1303 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 14 + depth: 5 + hits: 764 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 764 + raw fitness: 764.0000 + standardized fitness: 764.0000 + adjusted fitness: 0.9987 +TREE: + (log (exp (+ (log (- major extent)) + (- (- area convex) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 9 + depth: 4 + hits: 795 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 795 + raw fitness: 795.0000 + standardized fitness: 795.0000 + adjusted fitness: 0.9987 +TREE: + (- 0.28959 + (* (log 0.25262) + (/ (log eccentricity) 0.55091))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 9 + depth: 4 + hits: 795 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 795 + raw fitness: 795.0000 + standardized fitness: 795.0000 + adjusted fitness: 0.9987 +TREE: + (- 0.28959 + (* (log 0.25262) + (/ (log eccentricity) 0.55091))) +=== BEST-OF-RUN === + current generation: 3 + generation: 1 + nodes: 9 + depth: 4 + hits: 795 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 795 + raw fitness: 795.0000 + standardized fitness: 795.0000 + adjusted fitness: 0.9987 +TREE: + (- 0.28959 + (* (log 0.25262) + (/ (log eccentricity) 0.55091))) +=== BEST-OF-RUN === + current generation: 4 + generation: 1 + nodes: 9 + depth: 4 + hits: 795 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 795 + raw fitness: 795.0000 + standardized fitness: 795.0000 + adjusted fitness: 0.9987 +TREE: + (- 0.28959 + (* (log 0.25262) + (/ (log eccentricity) 0.55091))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 12 + depth: 4 + hits: 798 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 798 + raw fitness: 798.0000 + standardized fitness: 798.0000 + adjusted fitness: 0.9987 +TREE: + (log (+ (* (/ major area) + (* perimeter eccentricity)) + (/ eccentricity -0.17756))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 6 + nodes: 51 + depth: 11 + hits: 889 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 889 + raw fitness: 889.0000 + standardized fitness: 889.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ (log (- major minor)) + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) + (exp (/ minor perimeter))))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 15 + nodes: 45 + depth: 10 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (+ (/ convex extent) + (- eccentricity perimeter))) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log (+ eccentricity + (- (log extent) 0.84545))) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 20 + depth: 8 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (- (- perimeter + (/ convex + (exp (- (- eccentricity minor) + (+ perimeter major))))) extent) + (log (log minor))) minor) +=== BEST-OF-RUN === + current generation: 26 + generation: 25 + nodes: 20 + depth: 8 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (- (- perimeter + (/ convex + (exp (- (- eccentricity minor) + (+ perimeter major))))) extent) + (log (log minor))) minor) +=== BEST-OF-RUN === + current generation: 27 + generation: 27 + nodes: 36 + depth: 9 + hits: 907 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 907 + raw fitness: 907.0000 + standardized fitness: 907.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 27 + nodes: 36 + depth: 9 + hits: 907 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 907 + raw fitness: 907.0000 + standardized fitness: 907.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 27 + nodes: 36 + depth: 9 + hits: 907 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 907 + raw fitness: 907.0000 + standardized fitness: 907.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (+ perimeter minor)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) +=== BEST-OF-RUN === + current generation: 51 + generation: 30 + nodes: 36 + depth: 9 + hits: 908 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 908 + raw fitness: 908.0000 + standardized fitness: 908.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (+ extent + (- (/ (/ (* (log (log eccentricity)) + (* major minor)) + (log (- (- area major) + (* major eccentricity)))) + (+ (log -0.21330) + (log (/ (* convex convex) + (+ minor major))))) + (* eccentricity perimeter))))) diff --git a/PartB/90Cross10Mut2El/run_4/regress.prg b/PartB/90Cross10Mut2El/run_4/regress.prg new file mode 100644 index 0000000..e824f4f --- /dev/null +++ b/PartB/90Cross10Mut2El/run_4/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 15151.00000, perimeter = 496.19299, major_axis_length = 207.93149, minor_axis_length = 93.96302, eccentricity = 0.89207, convex_area = 15547.00000, extent = 0.76140, type = C + area = 11723.00000, perimeter = 432.74600, major_axis_length = 176.97508, minor_axis_length = 85.09567, eccentricity = 0.87681, convex_area = 12013.00000, extent = 0.66559, type = O + area = 10365.00000, perimeter = 416.33899, major_axis_length = 169.58658, minor_axis_length = 79.64149, eccentricity = 0.88287, convex_area = 10684.00000, extent = 0.59296, type = O + area = 16593.00000, perimeter = 524.83801, major_axis_length = 218.10382, minor_axis_length = 97.85260, eccentricity = 0.89371, convex_area = 16814.00000, extent = 0.59329, type = C + area = 13726.00000, perimeter = 484.24701, major_axis_length = 209.70306, minor_axis_length = 83.88441, eccentricity = 0.91651, convex_area = 13969.00000, extent = 0.55560, type = C + area = 11024.00000, perimeter = 414.85901, major_axis_length = 165.83214, minor_axis_length = 85.64083, eccentricity = 0.85633, convex_area = 11342.00000, extent = 0.63502, type = O + area = 14204.00000, perimeter = 489.44501, major_axis_length = 211.88388, minor_axis_length = 85.94508, eccentricity = 0.91404, convex_area = 14487.00000, extent = 0.68608, type = C + area = 12183.00000, perimeter = 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36 9 27 4 +29 0 0.9962 0.9989 0.0000 11.237 3.997 36 9 20 8 0.9934 0.9989 0.0000 13.993 4.121 36 9 27 4 +30 0 0.9968 0.9989 0.0000 11.104 3.950 36 9 40 9 0.9935 0.9989 0.0000 13.900 4.115 36 9 27 4 +31 0 0.9967 0.9989 0.0000 11.052 3.951 36 9 17 5 0.9936 0.9989 0.0000 13.811 4.110 36 9 27 4 +32 0 0.9951 0.9989 0.0000 10.699 3.849 36 9 12 5 0.9936 0.9989 0.0000 13.717 4.102 36 9 27 4 +33 0 0.9968 0.9989 0.0000 10.258 3.759 36 9 37 10 0.9937 0.9989 0.0000 13.615 4.092 36 9 27 4 +34 0 0.9969 0.9989 0.0000 9.931 3.674 36 9 15 4 0.9938 0.9989 0.0000 13.510 4.080 36 9 27 4 +35 0 0.9962 0.9989 0.0000 9.982 3.682 36 9 24 10 0.9939 0.9989 0.0000 13.412 4.069 36 9 27 4 +36 0 0.9958 0.9989 0.0000 9.764 3.608 36 9 13 5 0.9939 0.9989 0.0000 13.313 4.056 36 9 27 4 +37 0 0.9977 0.9989 0.0000 9.629 3.540 36 9 32 10 0.9940 0.9989 0.0000 13.216 4.043 36 9 27 4 +38 0 0.9966 0.9989 0.0000 9.628 3.545 36 9 28 9 0.9941 0.9989 0.0000 13.124 4.030 36 9 27 4 +39 0 0.9977 0.9989 0.0000 9.671 3.536 36 9 19 6 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0.0000 8.462 3.242 36 9 55 13 0.9947 0.9989 0.0000 12.158 3.879 36 9 27 4 +51 0 0.9976 0.9989 0.0000 8.212 3.163 36 9 15 5 0.9948 0.9989 0.0000 12.082 3.865 36 9 27 4 diff --git a/PartB/90Cross10Mut2El/run_4/regress.sys b/PartB/90Cross10Mut2El/run_4/regress.sys new file mode 100644 index 0000000..bfe176e --- /dev/null +++ b/PartB/90Cross10Mut2El/run_4/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1104. +creating initial population(s): + 7268 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 80203388 + freed: 80155388 + not freed: 48000 + max allocated: 2527367 + malloc'ed blocks: 844967 + realloc'ed blocks: 7 + free'ed blocks: 844961 + +------- time ------- + overall: 18s wall + evaluation: 14s wall + breeding: 4s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 7925 + freed: 7925 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_5/regress.bst b/PartB/90Cross10Mut2El/run_5/regress.bst new file mode 100644 index 0000000..0d05883 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_5/regress.bst @@ -0,0 +1,26 @@ +=== BEST-OF-RUN === + generation: 48 + nodes: 44 + depth: 13 + hits: 900 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 900 + raw fitness: 900.0000 + standardized fitness: 900.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (* (/ (* (exp minor) convex) + (log (* (log (- (- (/ convex + (+ eccentricity + (* area area))) + (+ (/ minor eccentricity) major)) + (* (exp (/ convex + (* (- major 0.68855) convex))) major))) -0.16223))) area) + (log (+ (- perimeter minor) -0.19669)))) +TREE-equ: +y = (perimeter / ((((exp(minor) * convex) / log((log((((convex / (eccentricity + (area * area))) - ((minor / eccentricity) + major)) - (exp((convex / ((major - 0.68855) * convex))) * major))) * -0.16223))) * area) + log(((perimeter - minor) + -0.19669)))) diff --git a/PartB/90Cross10Mut2El/run_5/regress.fn b/PartB/90Cross10Mut2El/run_5/regress.fn new file mode 100644 index 0000000..f8b1df9 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_5/regress.fn @@ -0,0 +1,20 @@ +Hits: 2567, Total Size: 2810, Percent Hit: 91.352313 +CC: 1047 +CO: 82 +OO: 1520 +OC: 161 +Fitness: 0.998890 +Hits: 900 + + +y = (perimeter / ((((exp(minor) * convex) / log((log((((convex / (eccentricity + (area * area))) - ((minor / eccentricity) + major)) - (exp((convex / ((major - 0.68855) * convex))) * major))) * -0.16223))) * area) + log(((perimeter - minor) + -0.19669)))) + + (/ perimeter + (+ (* (/ (* (exp minor) convex) + (log (* (log (- (- (/ convex + (+ eccentricity + (* area area))) + (+ (/ minor eccentricity) major)) + (* (exp (/ convex + (* (- major 0.68855) convex))) major))) -0.16223))) area) + (log (+ (- perimeter minor) -0.19669)))) diff --git a/PartB/90Cross10Mut2El/run_5/regress.gen b/PartB/90Cross10Mut2El/run_5/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_5/regress.his b/PartB/90Cross10Mut2El/run_5/regress.his new file mode 100644 index 0000000..a881fb5 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_5/regress.his @@ -0,0 +1,973 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 9 + depth: 3 + hits: 671 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 671 + raw fitness: 671.0000 + standardized fitness: 671.0000 + adjusted fitness: 0.9985 +TREE: + (* (log (/ extent perimeter)) + (log (/ -0.90555 eccentricity))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 9 + depth: 3 + hits: 671 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 671 + raw fitness: 671.0000 + standardized fitness: 671.0000 + adjusted fitness: 0.9985 +TREE: + (* (log (/ extent perimeter)) + (log (/ -0.90555 eccentricity))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 12 + depth: 6 + hits: 702 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 702 + raw fitness: 702.0000 + standardized fitness: 702.0000 + adjusted fitness: 0.9986 +TREE: + (log (* area + (exp (* (* (log eccentricity) + (/ minor major)) major)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 12 + depth: 6 + hits: 702 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 702 + raw fitness: 702.0000 + standardized fitness: 702.0000 + adjusted fitness: 0.9986 +TREE: + (log (* area + (exp (* (* (log eccentricity) + (/ minor major)) major)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 7 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 8 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 9 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 10 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 11 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 12 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 13 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 14 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 15 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 16 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 17 + generation: 4 + nodes: 3 + depth: 1 + hits: 804 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 804 + raw fitness: 804.0000 + standardized fitness: 804.0000 + adjusted fitness: 0.9988 +TREE: + (+ -0.88961 eccentricity) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 10 + depth: 3 + hits: 805 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 805 + raw fitness: 805.0000 + standardized fitness: 805.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (exp -0.11836)) + (/ (/ -0.70260 area) perimeter)) +=== BEST-OF-RUN === + current generation: 19 + generation: 18 + nodes: 10 + depth: 3 + hits: 805 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 805 + raw fitness: 805.0000 + standardized fitness: 805.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (exp -0.11836)) + (/ (/ -0.70260 area) perimeter)) +=== BEST-OF-RUN === + current generation: 20 + generation: 18 + nodes: 10 + depth: 3 + hits: 805 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 805 + raw fitness: 805.0000 + standardized fitness: 805.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (exp -0.11836)) + (/ (/ -0.70260 area) perimeter)) +=== BEST-OF-RUN === + current generation: 21 + generation: 18 + nodes: 10 + depth: 3 + hits: 805 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 805 + raw fitness: 805.0000 + standardized fitness: 805.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (exp -0.11836)) + (/ (/ -0.70260 area) perimeter)) +=== BEST-OF-RUN === + current generation: 22 + generation: 18 + nodes: 10 + depth: 3 + hits: 805 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 805 + raw fitness: 805.0000 + standardized fitness: 805.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (exp -0.11836)) + (/ (/ -0.70260 area) perimeter)) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 24 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 25 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 26 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 27 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 28 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 29 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 30 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 31 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 32 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 33 + generation: 23 + nodes: 8 + depth: 4 + hits: 816 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 816 + raw fitness: 816.0000 + standardized fitness: 816.0000 + adjusted fitness: 0.9988 +TREE: + (+ (- eccentricity + (/ (exp eccentricity) minor)) -0.86713) +=== BEST-OF-RUN === + current generation: 34 + generation: 34 + nodes: 39 + depth: 9 + hits: 835 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 835 + raw fitness: 835.0000 + standardized fitness: 835.0000 + adjusted fitness: 0.9988 +TREE: + (/ perimeter + (/ (- (* extent + (exp (- (+ perimeter perimeter) + (+ (- major + (* -0.50736 minor)) + (exp -0.28303))))) + (* (- (+ extent + (* eccentricity minor)) area) 0.16272)) + (- (log (exp (- (log minor) + (log (* -0.77628 major))))) extent))) +=== BEST-OF-RUN === + current generation: 35 + generation: 34 + nodes: 39 + depth: 9 + hits: 835 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 835 + raw fitness: 835.0000 + standardized fitness: 835.0000 + adjusted fitness: 0.9988 +TREE: + (/ perimeter + (/ (- (* extent + (exp (- (+ perimeter perimeter) + (+ (- major + (* -0.50736 minor)) + (exp -0.28303))))) + (* (- (+ extent + (* eccentricity minor)) area) 0.16272)) + (- (log (exp (- (log minor) + (log (* -0.77628 major))))) extent))) +=== BEST-OF-RUN === + current generation: 36 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 37 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 38 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 39 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 40 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 41 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 42 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 43 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 44 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 45 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 46 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 47 + generation: 36 + nodes: 7 + depth: 4 + hits: 853 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 853 + raw fitness: 853.0000 + standardized fitness: 853.0000 + adjusted fitness: 0.9988 +TREE: + (log (exp (* eccentricity + (* area -0.06959)))) +=== BEST-OF-RUN === + current generation: 48 + generation: 48 + nodes: 44 + depth: 13 + hits: 900 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 900 + raw fitness: 900.0000 + standardized fitness: 900.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (* (/ (* (exp minor) convex) + (log (* (log (- (- (/ convex + (+ eccentricity + (* area area))) + (+ (/ minor eccentricity) major)) + (* (exp (/ convex + (* (- major 0.68855) convex))) major))) -0.16223))) area) + (log (+ (- perimeter minor) -0.19669)))) +=== BEST-OF-RUN === + current generation: 49 + generation: 48 + nodes: 44 + depth: 13 + hits: 900 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 900 + raw fitness: 900.0000 + standardized fitness: 900.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (* (/ (* (exp minor) convex) + (log (* (log (- (- (/ convex + (+ eccentricity + (* area area))) + (+ (/ minor eccentricity) major)) + (* (exp (/ convex + (* (- major 0.68855) convex))) major))) -0.16223))) area) + (log (+ (- perimeter minor) -0.19669)))) +=== BEST-OF-RUN === + current generation: 50 + generation: 48 + nodes: 44 + depth: 13 + hits: 900 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 900 + raw fitness: 900.0000 + standardized fitness: 900.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (* (/ (* (exp minor) convex) + (log (* (log (- (- (/ convex + (+ eccentricity + (* area area))) + (+ (/ minor eccentricity) major)) + (* (exp (/ convex + (* (- major 0.68855) convex))) major))) -0.16223))) area) + (log (+ (- perimeter minor) -0.19669)))) +=== BEST-OF-RUN === + current generation: 51 + generation: 48 + nodes: 44 + depth: 13 + hits: 900 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 900 + raw fitness: 900.0000 + standardized fitness: 900.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (* (/ (* (exp minor) convex) + (log (* (log (- (- (/ convex + (+ eccentricity + (* area area))) + (+ (/ minor eccentricity) major)) + (* (exp (/ convex + (* (- major 0.68855) convex))) major))) -0.16223))) area) + (log (+ (- perimeter minor) -0.19669)))) diff --git a/PartB/90Cross10Mut2El/run_5/regress.prg b/PartB/90Cross10Mut2El/run_5/regress.prg new file mode 100644 index 0000000..81c79b4 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_5/regress.prg @@ 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0.88039, convex_area = 11345.00000, extent = 0.66641, type = O + area = 10913.00000, perimeter = 427.61801, major_axis_length = 170.72330, minor_axis_length = 83.15890, eccentricity = 0.87335, convex_area = 11311.00000, extent = 0.62571, type = O diff --git a/PartB/90Cross10Mut2El/run_5/regress.stt b/PartB/90Cross10Mut2El/run_5/regress.stt new file mode 100644 index 0000000..8f8fb26 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_5/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9537 0.9985 0.0000 18.658 3.483 9 3 49 6 0.9537 0.9985 0.0000 18.658 3.483 9 3 49 6 +1 0 0.9890 0.9985 0.0000 17.172 3.644 9 3 13 3 0.9714 0.9985 0.0000 17.915 3.563 9 3 49 6 +2 0 0.9908 0.9986 0.0000 16.470 3.713 12 6 13 4 0.9778 0.9986 0.0000 17.433 3.613 12 6 49 6 +3 0 0.9918 0.9986 0.0000 16.182 3.846 12 6 41 7 0.9813 0.9986 0.0000 17.120 3.671 12 6 49 6 +4 0 0.9926 0.9988 0.0000 16.077 3.952 3 1 35 6 0.9836 0.9988 0.0000 16.912 3.728 3 1 49 6 +5 0 0.9928 0.9988 0.0000 15.702 3.999 3 1 30 9 0.9851 0.9988 0.0000 16.710 3.773 3 1 49 6 +6 0 0.9914 0.9988 0.0000 15.493 4.098 3 1 33 6 0.9860 0.9988 0.0000 16.536 3.819 3 1 49 6 +7 0 0.9942 0.9988 0.0000 14.749 4.071 3 1 98 13 0.9871 0.9988 0.0000 16.313 3.851 3 1 49 6 +8 0 0.9928 0.9988 0.0000 14.694 4.145 3 1 51 11 0.9877 0.9988 0.0000 16.133 3.883 3 1 49 6 +9 0 0.9922 0.9988 0.0000 14.308 4.119 3 1 40 7 0.9881 0.9988 0.0000 15.950 3.907 3 1 49 6 +10 0 0.9952 0.9988 0.0000 14.254 4.156 3 1 35 12 0.9888 0.9988 0.0000 15.796 3.930 3 1 49 6 +11 0 0.9938 0.9988 0.0000 14.176 4.186 3 1 52 14 0.9892 0.9988 0.0000 15.661 3.951 3 1 49 6 +12 0 0.9940 0.9988 0.0000 13.853 4.202 3 1 38 6 0.9896 0.9988 0.0000 15.522 3.970 3 1 49 6 +13 0 0.9952 0.9988 0.0000 13.773 4.224 3 1 72 13 0.9900 0.9988 0.0000 15.397 3.989 3 1 49 6 +14 0 0.9948 0.9988 0.0000 13.489 4.220 3 1 96 11 0.9903 0.9988 0.0000 15.270 4.004 3 1 49 6 +15 0 0.9936 0.9988 0.0000 13.243 4.203 3 1 30 7 0.9905 0.9988 0.0000 15.143 4.016 3 1 49 6 +16 0 0.9932 0.9988 0.0000 13.059 4.196 3 1 11 4 0.9907 0.9988 0.0000 15.021 4.027 3 1 49 6 +17 0 0.9950 0.9988 0.0000 12.792 4.166 3 1 21 9 0.9909 0.9988 0.0000 14.897 4.035 3 1 49 6 +18 0 0.9956 0.9988 0.0000 12.765 4.148 10 3 17 5 0.9912 0.9988 0.0000 14.785 4.041 10 3 49 6 +19 0 0.9970 0.9988 0.0000 12.397 4.103 10 3 33 10 0.9914 0.9988 0.0000 14.665 4.044 10 3 49 6 +20 0 0.9946 0.9988 0.0000 12.158 4.050 10 3 14 5 0.9916 0.9988 0.0000 14.546 4.044 10 3 49 6 +21 0 0.9964 0.9988 0.0000 12.056 4.080 10 3 10 3 0.9918 0.9988 0.0000 14.433 4.046 10 3 49 6 +22 0 0.9954 0.9988 0.0000 11.846 4.018 10 3 20 8 0.9920 0.9988 0.0000 14.320 4.045 10 3 49 6 +23 0 0.9944 0.9988 0.0000 11.863 4.021 8 4 17 5 0.9921 0.9988 0.0000 14.218 4.044 8 4 49 6 +24 0 0.9968 0.9988 0.0000 11.667 3.992 8 4 22 6 0.9923 0.9988 0.0000 14.116 4.041 8 4 49 6 +25 0 0.9970 0.9988 0.0000 11.660 4.019 8 4 39 10 0.9924 0.9988 0.0000 14.021 4.041 8 4 49 6 +26 0 0.9972 0.9988 0.0000 11.493 3.973 8 4 47 11 0.9926 0.9988 0.0000 13.928 4.038 8 4 49 6 +27 0 0.9968 0.9988 0.0000 11.551 3.992 8 4 38 6 0.9928 0.9988 0.0000 13.843 4.036 8 4 49 6 +28 0 0.9960 0.9988 0.0000 11.121 3.932 8 4 17 5 0.9929 0.9988 0.0000 13.749 4.033 8 4 49 6 +29 0 0.9960 0.9988 0.0000 11.141 3.933 8 4 60 12 0.9930 0.9988 0.0000 13.662 4.030 8 4 49 6 +30 0 0.9972 0.9988 0.0000 11.015 3.917 8 4 74 17 0.9931 0.9988 0.0000 13.577 4.026 8 4 49 6 +31 0 0.9968 0.9988 0.0000 11.301 4.019 8 4 42 11 0.9932 0.9988 0.0000 13.506 4.026 8 4 49 6 +32 0 0.9960 0.9988 0.0000 11.479 4.034 8 4 72 16 0.9933 0.9988 0.0000 13.444 4.026 8 4 49 6 +33 0 0.9966 0.9988 0.0000 11.179 3.963 8 4 38 8 0.9934 0.9988 0.0000 13.377 4.024 8 4 49 6 +34 0 0.9970 0.9988 0.0000 10.894 3.921 39 9 47 11 0.9935 0.9988 0.0000 13.307 4.021 39 9 49 6 +35 0 0.9968 0.9988 0.0000 10.957 3.951 39 9 28 11 0.9936 0.9988 0.0000 13.241 4.019 39 9 49 6 +36 0 0.9962 0.9988 0.0000 10.715 3.887 7 4 45 12 0.9937 0.9988 0.0000 13.173 4.016 7 4 49 6 +37 0 0.9968 0.9988 0.0000 10.404 3.805 7 4 7 3 0.9938 0.9988 0.0000 13.100 4.010 7 4 49 6 +38 0 0.9962 0.9988 0.0000 10.203 3.759 7 4 32 8 0.9938 0.9988 0.0000 13.026 4.004 7 4 49 6 +39 0 0.9958 0.9988 0.0000 10.334 3.795 7 4 31 7 0.9939 0.9988 0.0000 12.959 3.998 7 4 49 6 +40 0 0.9964 0.9988 0.0000 9.906 3.686 7 4 28 10 0.9939 0.9988 0.0000 12.884 3.991 7 4 49 6 +41 0 0.9966 0.9988 0.0000 9.601 3.611 7 4 33 14 0.9940 0.9988 0.0000 12.806 3.982 7 4 49 6 +42 0 0.9972 0.9988 0.0000 9.602 3.613 7 4 14 6 0.9941 0.9988 0.0000 12.731 3.973 7 4 49 6 +43 0 0.9968 0.9988 0.0000 9.458 3.557 7 4 14 5 0.9941 0.9988 0.0000 12.657 3.964 7 4 49 6 +44 0 0.9968 0.9988 0.0000 9.264 3.482 7 4 41 10 0.9942 0.9988 0.0000 12.582 3.953 7 4 49 6 +45 0 0.9970 0.9988 0.0000 9.203 3.497 7 4 11 5 0.9943 0.9988 0.0000 12.508 3.943 7 4 49 6 +46 0 0.9972 0.9988 0.0000 9.107 3.480 7 4 18 6 0.9943 0.9988 0.0000 12.436 3.933 7 4 49 6 +47 0 0.9974 0.9988 0.0000 8.983 3.462 7 4 17 7 0.9944 0.9988 0.0000 12.364 3.924 7 4 49 6 +48 0 0.9978 0.9989 0.0000 8.836 3.420 44 13 21 7 0.9945 0.9989 0.0000 12.292 3.913 44 13 49 6 +49 0 0.9976 0.9989 0.0000 8.751 3.383 44 13 43 13 0.9945 0.9989 0.0000 12.221 3.903 44 13 49 6 +50 0 0.9972 0.9989 0.0000 8.849 3.389 44 13 11 6 0.9946 0.9989 0.0000 12.155 3.893 44 13 49 6 +51 0 0.9972 0.9989 0.0000 8.705 3.343 44 13 16 5 0.9946 0.9989 0.0000 12.089 3.882 44 13 49 6 diff --git a/PartB/90Cross10Mut2El/run_5/regress.sys b/PartB/90Cross10Mut2El/run_5/regress.sys new file mode 100644 index 0000000..a0a5bb7 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_5/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 63. +creating initial population(s): + 7379 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 80553902 + freed: 80505902 + not freed: 48000 + max allocated: 2563989 + malloc'ed blocks: 847316 + realloc'ed blocks: 7 + free'ed blocks: 847310 + +------- time ------- + overall: 18s wall + evaluation: 17s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8234 + freed: 8234 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_6/regress.bst b/PartB/90Cross10Mut2El/run_6/regress.bst new file mode 100644 index 0000000..af309ee --- /dev/null +++ b/PartB/90Cross10Mut2El/run_6/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +TREE-equ: +y = log(((((log(((((major + eccentricity) + log(extent)) * (eccentricity / log(((perimeter - convex) - major)))) * eccentricity)) - perimeter) / log((perimeter - extent))) * eccentricity) * -0.01515)) diff --git a/PartB/90Cross10Mut2El/run_6/regress.fn b/PartB/90Cross10Mut2El/run_6/regress.fn new file mode 100644 index 0000000..edb8726 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_6/regress.fn @@ -0,0 +1,16 @@ +Hits: 2587, Total Size: 2810, Percent Hit: 92.064057 +CC: 1030 +CO: 79 +OO: 1557 +OC: 144 +Fitness: 0.998933 +Hits: 936 + + +y = log(((((log(((((major + eccentricity) + log(extent)) * (eccentricity / log(((perimeter - convex) - major)))) * eccentricity)) - perimeter) / log((perimeter - extent))) * eccentricity) * -0.01515)) + + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) diff --git a/PartB/90Cross10Mut2El/run_6/regress.gen b/PartB/90Cross10Mut2El/run_6/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_6/regress.his b/PartB/90Cross10Mut2El/run_6/regress.his new file mode 100644 index 0000000..24e0a66 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_6/regress.his @@ -0,0 +1,1215 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 59 + depth: 6 + hits: 645 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 645 + raw fitness: 645.0000 + standardized fitness: 645.0000 + adjusted fitness: 0.9985 +TREE: + (/ (exp (log (+ (exp (- perimeter area)) + (/ (exp perimeter) + (- extent perimeter))))) + (* (/ (/ (+ (log extent) + (+ minor minor)) + (* (exp major) + (exp perimeter))) + (- (- (+ eccentricity -0.79533) + (* eccentricity minor)) + (- (* eccentricity 0.01188) + (log major)))) + (* (log (/ (- perimeter area) + (/ extent area))) + (+ (log (exp extent)) + (log (/ perimeter perimeter)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 59 + depth: 6 + hits: 645 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 645 + raw fitness: 645.0000 + standardized fitness: 645.0000 + adjusted fitness: 0.9985 +TREE: + (/ (exp (log (+ (exp (- perimeter area)) + (/ (exp perimeter) + (- extent perimeter))))) + (* (/ (/ (+ (log extent) + (+ minor minor)) + (* (exp major) + (exp perimeter))) + (- (- (+ eccentricity -0.79533) + (* eccentricity minor)) + (- (* eccentricity 0.01188) + (log major)))) + (* (log (/ (- perimeter area) + (/ extent area))) + (+ (log (exp extent)) + (log (/ perimeter perimeter)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 11 + depth: 3 + hits: 724 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 724 + raw fitness: 724.0000 + standardized fitness: 724.0000 + adjusted fitness: 0.9986 +TREE: + (/ (/ (/ eccentricity extent) 0.64389) + (- (exp eccentricity) + (exp 0.89809))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 53 + depth: 9 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (/ (+ convex minor) + (log (+ (/ (* convex + (exp 0.07465)) + (+ (* (+ (+ (+ convex eccentricity) + (+ minor eccentricity)) + (exp (log area))) + (log (* (exp extent) + (- minor area)))) + (exp (* (+ (log convex) + (+ convex eccentricity)) + (+ (+ area perimeter) + (+ extent minor)))))) + (exp (/ (/ minor eccentricity) + (log eccentricity)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 3 + nodes: 53 + depth: 9 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (/ (+ convex minor) + (log (+ (/ (* convex + (exp 0.07465)) + (+ (* (+ (+ (+ convex eccentricity) + (+ minor eccentricity)) + (exp (log area))) + (log (* (exp extent) + (- minor area)))) + (exp (* (+ (log convex) + (+ convex eccentricity)) + (+ (+ area perimeter) + (+ extent minor)))))) + (exp (/ (/ minor eccentricity) + (log eccentricity)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 3 + nodes: 53 + depth: 9 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (/ (+ convex minor) + (log (+ (/ (* convex + (exp 0.07465)) + (+ (* (+ (+ (+ convex eccentricity) + (+ minor eccentricity)) + (exp (log area))) + (log (* (exp extent) + (- minor area)))) + (exp (* (+ (log convex) + (+ convex eccentricity)) + (+ (+ area perimeter) + (+ extent minor)))))) + (exp (/ (/ minor eccentricity) + (log eccentricity)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 3 + nodes: 53 + depth: 9 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (/ (+ convex minor) + (log (+ (/ (* convex + (exp 0.07465)) + (+ (* (+ (+ (+ convex eccentricity) + (+ minor eccentricity)) + (exp (log area))) + (log (* (exp extent) + (- minor area)))) + (exp (* (+ (log convex) + (+ convex eccentricity)) + (+ (+ area perimeter) + (+ extent minor)))))) + (exp (/ (/ minor eccentricity) + (log eccentricity)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 3 + nodes: 53 + depth: 9 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (/ (+ convex minor) + (log (+ (/ (* convex + (exp 0.07465)) + (+ (* (+ (+ (+ convex eccentricity) + (+ minor eccentricity)) + (exp (log area))) + (log (* (exp extent) + (- minor area)))) + (exp (* (+ (log convex) + (+ convex eccentricity)) + (+ (+ area perimeter) + (+ extent minor)))))) + (exp (/ (/ minor eccentricity) + (log eccentricity)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 25 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (* 0.97422 -0.38656)) + (- (log 0.44548) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 25 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (* 0.97422 -0.38656)) + (- (log 0.44548) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 10 + generation: 8 + nodes: 25 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (* 0.97422 -0.38656)) + (- (log 0.44548) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 11 + generation: 8 + nodes: 25 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (* 0.97422 -0.38656)) + (- (log 0.44548) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 12 + generation: 8 + nodes: 25 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (* 0.97422 -0.38656)) + (- (log 0.44548) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 13 + generation: 8 + nodes: 25 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (* 0.97422 -0.38656)) + (- (log 0.44548) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 14 + generation: 14 + nodes: 29 + depth: 6 + hits: 911 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 911 + raw fitness: 911.0000 + standardized fitness: 911.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (+ extent -0.12538) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 15 + generation: 14 + nodes: 29 + depth: 6 + hits: 911 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 911 + raw fitness: 911.0000 + standardized fitness: 911.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (+ extent -0.12538) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 16 + generation: 14 + nodes: 29 + depth: 6 + hits: 911 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 911 + raw fitness: 911.0000 + standardized fitness: 911.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (+ extent -0.12538) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 17 + generation: 14 + nodes: 29 + depth: 6 + hits: 911 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 911 + raw fitness: 911.0000 + standardized fitness: 911.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (+ extent -0.12538) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 18 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 19 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 20 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 21 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 22 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 23 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 24 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 25 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 26 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 27 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 28 + generation: 18 + nodes: 28 + depth: 6 + hits: 912 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 912 + raw fitness: 912.0000 + standardized fitness: 912.0000 + adjusted fitness: 0.9989 +TREE: + (/ (+ (* (/ major perimeter) + (* 0.09254 0.18428)) + (/ (+ (- extent minor) + (log 0.12671)) + (- (+ (log eccentricity) + (+ eccentricity extent)) + (- perimeter convex)))) + (exp eccentricity)) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 35 + depth: 15 + hits: 931 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 931 + raw fitness: 931.0000 + standardized fitness: 931.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (- (- area convex) + (+ (log (/ minor + (/ 0.37836 + (+ area + (exp convex))))) + (exp -0.56925))) + (/ eccentricity extent)) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 30 + generation: 29 + nodes: 35 + depth: 15 + hits: 931 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 931 + raw fitness: 931.0000 + standardized fitness: 931.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (- (- area convex) + (+ (log (/ minor + (/ 0.37836 + (+ area + (exp convex))))) + (exp -0.56925))) + (/ eccentricity extent)) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 31 + generation: 31 + nodes: 25 + depth: 10 + hits: 933 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 933 + raw fitness: 933.0000 + standardized fitness: 933.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity extent)) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 32 + generation: 31 + nodes: 25 + depth: 10 + hits: 933 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 933 + raw fitness: 933.0000 + standardized fitness: 933.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity extent)) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 33 + generation: 31 + nodes: 25 + depth: 10 + hits: 933 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 933 + raw fitness: 933.0000 + standardized fitness: 933.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity extent)) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 34 + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 35 + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 36 + generation: 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eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 43 + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 44 + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + 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-- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 48 + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: + (log (* (* (/ (- (log (* (* (+ (+ major eccentricity) + (log extent)) + (/ eccentricity + (log (- (- perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) +=== BEST-OF-RUN === + current generation: 49 + generation: 34 + nodes: 30 + depth: 12 + hits: 936 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 936 + raw fitness: 936.0000 + standardized fitness: 936.0000 + adjusted fitness: 0.9989 +TREE: 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perimeter convex) major)))) eccentricity)) perimeter) + (log (- perimeter extent))) eccentricity) -0.01515)) diff --git a/PartB/90Cross10Mut2El/run_6/regress.prg b/PartB/90Cross10Mut2El/run_6/regress.prg new file mode 100644 index 0000000..90200c7 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_6/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 13925.00000, perimeter = 478.29001, major_axis_length = 196.57477, minor_axis_length = 91.43114, eccentricity = 0.88525, convex_area = 14323.00000, extent = 0.66278, type = C + area = 11693.00000, perimeter = 424.50400, major_axis_length = 176.02406, minor_axis_length = 84.99132, eccentricity = 0.87571, convex_area = 11842.00000, extent = 0.60674, type = O + area = 10681.00000, perimeter = 421.25601, major_axis_length = 178.36945, minor_axis_length = 77.96081, eccentricity = 0.89943, convex_area = 10929.00000, extent = 0.55717, type = O + area = 15238.00000, perimeter = 496.87100, major_axis_length = 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minor_axis_length = 82.35851, eccentricity = 0.85893, convex_area = 10488.00000, extent = 0.78471, type = O + area = 16199.00000, perimeter = 514.15601, major_axis_length = 217.63051, minor_axis_length = 95.51936, eccentricity = 0.89853, convex_area = 16475.00000, extent = 0.70769, type = C + area = 14476.00000, perimeter = 489.23801, major_axis_length = 203.85884, minor_axis_length = 91.66153, eccentricity = 0.89321, convex_area = 14807.00000, extent = 0.67985, type = C + area = 13681.00000, perimeter = 478.53799, major_axis_length = 202.76108, minor_axis_length = 87.02304, eccentricity = 0.90321, convex_area = 14015.00000, extent = 0.64194, type = C + area = 15977.00000, perimeter = 516.20898, major_axis_length = 216.75784, minor_axis_length = 94.92934, eccentricity = 0.89900, convex_area = 16401.00000, extent = 0.62751, type = C + area = 16418.00000, perimeter = 534.98999, major_axis_length = 230.15858, minor_axis_length = 91.78718, eccentricity = 0.91704, convex_area = 16736.00000, extent = 0.64628, type = C + area = 15281.00000, perimeter = 509.51700, major_axis_length = 212.69688, minor_axis_length = 92.99384, eccentricity = 0.89936, convex_area = 15689.00000, extent = 0.64023, type = C + area = 14463.00000, perimeter = 480.48999, major_axis_length = 201.93422, minor_axis_length = 91.94389, eccentricity = 0.89033, convex_area = 14698.00000, extent = 0.67512, type = C + area = 15147.00000, perimeter = 511.29401, major_axis_length = 216.09929, minor_axis_length = 90.94639, eccentricity = 0.90713, convex_area = 15637.00000, extent = 0.53485, type = C + area = 15035.00000, perimeter = 506.15201, major_axis_length = 216.93530, minor_axis_length = 89.38924, eccentricity = 0.91116, convex_area = 15432.00000, extent = 0.60930, type = C + area = 11999.00000, perimeter = 465.65799, major_axis_length = 194.78426, minor_axis_length = 80.43824, eccentricity = 0.91075, convex_area = 12364.00000, extent = 0.53701, type = C + area = 10085.00000, perimeter = 412.13501, major_axis_length = 172.96211, minor_axis_length = 75.26066, eccentricity = 0.90037, convex_area = 10351.00000, extent = 0.69831, type = O + area = 12735.00000, perimeter = 473.05099, major_axis_length = 200.68445, minor_axis_length = 81.73118, eccentricity = 0.91331, convex_area = 13140.00000, extent = 0.53761, type = C + area = 13102.00000, perimeter = 479.27301, major_axis_length = 202.50768, minor_axis_length = 83.75623, eccentricity = 0.91046, convex_area = 13528.00000, extent = 0.61799, type = C + area = 10860.00000, perimeter = 411.84601, major_axis_length = 165.19398, minor_axis_length = 85.32478, eccentricity = 0.85628, convex_area = 11212.00000, extent = 0.75197, type = O + area = 11759.00000, perimeter = 426.13800, major_axis_length = 173.68907, minor_axis_length = 87.18202, eccentricity = 0.86490, convex_area = 11941.00000, extent = 0.69366, type = O + area = 11337.00000, perimeter = 417.27100, major_axis_length = 174.46320, minor_axis_length = 83.50516, eccentricity = 0.87801, convex_area = 11477.00000, extent = 0.81808, type = O + area = 12921.00000, perimeter = 476.74600, major_axis_length = 206.22263, minor_axis_length = 80.40368, eccentricity = 0.92086, convex_area = 13218.00000, extent = 0.54692, type = C + area = 14634.00000, perimeter = 493.02701, major_axis_length = 208.13615, minor_axis_length = 90.37943, eccentricity = 0.90080, convex_area = 14898.00000, extent = 0.71025, type = C + area = 15529.00000, perimeter = 509.01700, major_axis_length = 207.05132, minor_axis_length = 96.98811, eccentricity = 0.88350, convex_area = 15993.00000, extent = 0.59974, type = C + area = 15009.00000, perimeter = 502.48801, major_axis_length = 211.09036, minor_axis_length = 91.76154, eccentricity = 0.90057, convex_area = 15370.00000, extent = 0.61575, type = C + area = 10474.00000, perimeter = 403.45999, major_axis_length = 167.88440, minor_axis_length = 80.18859, eccentricity = 0.87855, convex_area = 10611.00000, extent = 0.78870, type = O + area = 10777.00000, perimeter = 409.27301, major_axis_length = 165.13802, minor_axis_length = 84.58022, eccentricity = 0.85888, convex_area = 10987.00000, extent = 0.80648, type = O + area = 11956.00000, perimeter = 438.89600, major_axis_length = 184.64371, minor_axis_length = 83.21842, eccentricity = 0.89268, convex_area = 12121.00000, extent = 0.57703, type = C + area = 14407.00000, perimeter = 494.98999, major_axis_length = 208.74904, minor_axis_length = 88.66286, eccentricity = 0.90532, convex_area = 14716.00000, extent = 0.57376, type = C + area = 15061.00000, perimeter = 497.35901, major_axis_length = 207.65042, minor_axis_length = 93.05585, eccentricity = 0.89396, convex_area = 15327.00000, extent = 0.71678, type = C + area = 12361.00000, perimeter = 443.81900, major_axis_length = 178.17212, minor_axis_length = 89.32095, eccentricity = 0.86526, convex_area = 12581.00000, extent = 0.78037, type = O + area = 15830.00000, perimeter = 520.51001, major_axis_length = 219.44762, minor_axis_length = 92.66460, eccentricity = 0.90647, convex_area = 16121.00000, extent = 0.59511, type = C + area = 15559.00000, perimeter = 514.27899, major_axis_length = 221.11908, minor_axis_length = 90.46384, eccentricity = 0.91248, convex_area = 15903.00000, extent = 0.77578, type = C + area = 13337.00000, perimeter = 468.62100, major_axis_length = 196.77119, minor_axis_length = 87.31041, eccentricity = 0.89617, convex_area = 13598.00000, extent = 0.69442, type = C + area = 10600.00000, perimeter = 414.86600, major_axis_length = 174.65054, minor_axis_length = 78.23211, eccentricity = 0.89407, convex_area = 10800.00000, extent = 0.60282, type = O + area = 11752.00000, perimeter = 422.53201, major_axis_length = 171.08530, minor_axis_length = 88.01460, eccentricity = 0.85752, convex_area = 11997.00000, extent = 0.69292, type = O + area = 16523.00000, perimeter = 531.89203, major_axis_length = 224.99542, minor_axis_length = 94.41770, eccentricity = 0.90769, convex_area = 16911.00000, extent = 0.57704, type = C + area = 13050.00000, perimeter = 467.52200, major_axis_length = 194.89885, minor_axis_length = 86.94762, eccentricity = 0.89497, convex_area = 13389.00000, extent = 0.61978, type = C + area = 9944.00000, perimeter = 407.36099, major_axis_length = 169.64474, minor_axis_length = 75.97414, eccentricity = 0.89411, convex_area = 10212.00000, extent = 0.55859, type = O + area = 10007.00000, perimeter = 391.45901, major_axis_length = 163.92862, minor_axis_length = 78.13725, eccentricity = 0.87909, convex_area = 10146.00000, extent = 0.80171, type = O + area = 10598.00000, perimeter = 411.47900, major_axis_length = 162.20229, minor_axis_length = 85.22141, eccentricity = 0.85085, convex_area = 10936.00000, extent = 0.59353, type = O + area = 14145.00000, perimeter = 486.60800, major_axis_length = 209.35321, minor_axis_length = 86.78947, eccentricity = 0.91002, convex_area = 14370.00000, extent = 0.76667, type = C + area = 11528.00000, perimeter = 433.34799, major_axis_length = 182.11395, minor_axis_length = 81.49728, eccentricity = 0.89428, convex_area = 11777.00000, extent = 0.78539, type = O + area = 14725.00000, perimeter = 472.90201, major_axis_length = 193.12355, minor_axis_length = 97.71609, eccentricity = 0.86255, convex_area = 15084.00000, extent = 0.63432, type = C + area = 13626.00000, perimeter = 469.34299, major_axis_length = 191.38023, minor_axis_length = 92.17392, eccentricity = 0.87638, convex_area = 13931.00000, extent = 0.60722, type = O + area = 14688.00000, perimeter = 507.16699, major_axis_length = 211.74338, minor_axis_length = 89.31245, eccentricity = 0.90669, convex_area = 15262.00000, extent = 0.64602, type = C + area = 15375.00000, perimeter = 515.42297, major_axis_length = 215.99930, minor_axis_length = 91.61694, eccentricity = 0.90559, convex_area = 15780.00000, extent = 0.59760, type = C + area = 11380.00000, perimeter = 423.61499, major_axis_length = 172.17389, minor_axis_length = 85.65730, eccentricity = 0.86746, convex_area = 11620.00000, extent = 0.67317, type = O + area = 14031.00000, perimeter = 494.26501, major_axis_length = 213.70952, minor_axis_length = 84.46609, eccentricity = 0.91858, convex_area = 14265.00000, extent = 0.73886, type = C + area = 14906.00000, perimeter = 497.82501, major_axis_length = 211.34190, minor_axis_length = 90.65295, eccentricity = 0.90333, convex_area = 15150.00000, extent = 0.59748, type = C + area = 10817.00000, perimeter = 403.99799, major_axis_length = 167.42336, minor_axis_length = 82.72127, eccentricity = 0.86941, convex_area = 10953.00000, extent = 0.78509, type = O + area = 14235.00000, perimeter = 505.84500, major_axis_length = 214.15660, minor_axis_length = 87.47984, eccentricity = 0.91276, convex_area = 14687.00000, extent = 0.68257, type = C + area = 14500.00000, perimeter = 495.10699, major_axis_length = 214.28784, minor_axis_length = 86.66111, eccentricity = 0.91458, convex_area = 14712.00000, extent = 0.58121, type = C + area = 12311.00000, perimeter = 446.17599, major_axis_length = 182.64903, minor_axis_length = 86.82935, eccentricity = 0.87978, convex_area = 12608.00000, extent = 0.69089, type = O + area = 14524.00000, perimeter = 480.21201, major_axis_length = 199.93301, minor_axis_length = 93.31210, eccentricity = 0.88441, convex_area = 14808.00000, extent = 0.61128, type = C + area = 15762.00000, perimeter = 507.64099, major_axis_length = 205.60056, minor_axis_length = 99.32085, eccentricity = 0.87558, convex_area = 16261.00000, extent = 0.66364, type = C diff --git a/PartB/90Cross10Mut2El/run_6/regress.stt b/PartB/90Cross10Mut2El/run_6/regress.stt new file mode 100644 index 0000000..ad4e6c0 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_6/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9579 0.9985 0.0000 18.080 3.451 59 6 63 6 0.9579 0.9985 0.0000 18.080 3.451 59 6 63 6 +1 0 0.9907 0.9985 0.0000 16.735 3.597 59 6 58 7 0.9743 0.9985 0.0000 17.407 3.524 59 6 63 6 +2 0 0.9911 0.9986 0.0000 16.362 3.753 11 3 17 4 0.9799 0.9986 0.0000 17.059 3.600 11 3 63 6 +3 0 0.9928 0.9987 0.0000 16.128 3.899 53 9 29 5 0.9831 0.9987 0.0000 16.826 3.675 53 9 63 6 +4 0 0.9914 0.9987 0.0000 15.895 4.008 53 9 30 6 0.9848 0.9987 0.0000 16.640 3.742 53 9 63 6 +5 0 0.9928 0.9987 0.0000 15.747 4.087 53 9 62 8 0.9861 0.9987 0.0000 16.491 3.799 53 9 63 6 +6 0 0.9908 0.9987 0.0000 15.954 4.190 53 9 82 14 0.9868 0.9987 0.0000 16.414 3.855 53 9 63 6 +7 0 0.9940 0.9987 0.0000 15.706 4.211 53 9 24 5 0.9877 0.9987 0.0000 16.326 3.900 53 9 63 6 +8 0 0.9939 0.9989 0.0000 15.574 4.287 25 5 53 9 0.9884 0.9989 0.0000 16.242 3.943 25 5 63 6 +9 0 0.9920 0.9989 0.0000 15.047 4.263 25 5 9 3 0.9887 0.9989 0.0000 16.123 3.975 25 5 63 6 +10 0 0.9938 0.9989 0.0000 15.045 4.274 25 5 17 6 0.9892 0.9989 0.0000 16.025 4.002 25 5 63 6 +11 0 0.9942 0.9989 0.0000 14.788 4.308 25 5 32 8 0.9896 0.9989 0.0000 15.922 4.027 25 5 63 6 +12 0 0.9937 0.9989 0.0000 14.301 4.281 25 5 56 10 0.9899 0.9989 0.0000 15.797 4.047 25 5 63 6 +13 0 0.9954 0.9989 0.0000 14.178 4.305 25 5 54 15 0.9903 0.9989 0.0000 15.681 4.065 25 5 63 6 +14 0 0.9956 0.9989 0.0000 13.823 4.281 29 6 27 8 0.9907 0.9989 0.0000 15.558 4.080 29 6 63 6 +15 0 0.9954 0.9989 0.0000 13.445 4.223 29 6 44 10 0.9910 0.9989 0.0000 15.425 4.089 29 6 63 6 +16 0 0.9958 0.9989 0.0000 13.511 4.248 29 6 27 9 0.9913 0.9989 0.0000 15.313 4.098 29 6 63 6 +17 0 0.9945 0.9989 0.0000 13.411 4.229 29 6 67 17 0.9914 0.9989 0.0000 15.207 4.105 29 6 63 6 +18 0 0.9954 0.9989 0.0000 13.191 4.221 28 6 87 14 0.9917 0.9989 0.0000 15.101 4.111 28 6 63 6 +19 0 0.9954 0.9989 0.0000 12.773 4.155 28 6 46 11 0.9918 0.9989 0.0000 14.985 4.114 28 6 63 6 +20 0 0.9956 0.9989 0.0000 12.608 4.113 28 6 38 7 0.9920 0.9989 0.0000 14.872 4.113 28 6 63 6 +21 0 0.9958 0.9989 0.0000 12.437 4.103 28 6 18 7 0.9922 0.9989 0.0000 14.761 4.113 28 6 63 6 +22 0 0.9964 0.9989 0.0000 12.391 4.120 28 6 39 11 0.9924 0.9989 0.0000 14.658 4.113 28 6 63 6 +23 0 0.9962 0.9989 0.0000 12.759 4.230 28 6 36 8 0.9925 0.9989 0.0000 14.579 4.118 28 6 63 6 +24 0 0.9952 0.9989 0.0000 12.433 4.152 28 6 23 7 0.9927 0.9989 0.0000 14.493 4.120 28 6 63 6 +25 0 0.9960 0.9989 0.0000 12.021 4.064 28 6 63 12 0.9928 0.9989 0.0000 14.398 4.117 28 6 63 6 +26 0 0.9958 0.9989 0.0000 11.917 4.074 28 6 28 9 0.9929 0.9989 0.0000 14.306 4.116 28 6 63 6 +27 0 0.9974 0.9989 0.0000 11.541 4.019 28 6 37 8 0.9931 0.9989 0.0000 14.207 4.112 28 6 63 6 +28 0 0.9964 0.9989 0.0000 11.390 4.002 28 6 18 5 0.9932 0.9989 0.0000 14.110 4.109 28 6 63 6 +29 0 0.9964 0.9989 0.0000 11.243 3.954 35 15 11 5 0.9933 0.9989 0.0000 14.014 4.103 35 15 63 6 +30 0 0.9968 0.9989 0.0000 11.235 3.956 35 15 19 6 0.9934 0.9989 0.0000 13.925 4.099 35 15 63 6 +31 0 0.9970 0.9989 0.0000 11.247 3.978 25 10 35 10 0.9935 0.9989 0.0000 13.841 4.095 25 10 63 6 +32 0 0.9970 0.9989 0.0000 11.050 3.955 25 10 71 12 0.9936 0.9989 0.0000 13.757 4.091 25 10 63 6 +33 0 0.9968 0.9989 0.0000 11.003 3.956 25 10 31 7 0.9937 0.9989 0.0000 13.676 4.087 25 10 63 6 +34 0 0.9970 0.9989 0.0000 11.053 3.967 30 12 52 17 0.9938 0.9989 0.0000 13.601 4.083 30 12 63 6 +35 0 0.9966 0.9989 0.0000 11.035 3.954 30 12 19 5 0.9939 0.9989 0.0000 13.529 4.080 30 12 63 6 +36 0 0.9976 0.9989 0.0000 10.691 3.871 30 12 48 11 0.9940 0.9989 0.0000 13.453 4.074 30 12 63 6 +37 0 0.9970 0.9989 0.0000 10.625 3.841 30 12 57 11 0.9941 0.9989 0.0000 13.378 4.068 30 12 63 6 +38 0 0.9964 0.9989 0.0000 10.454 3.833 30 12 47 13 0.9941 0.9989 0.0000 13.303 4.062 30 12 63 6 +39 0 0.9972 0.9989 0.0000 10.169 3.729 30 12 5 2 0.9942 0.9989 0.0000 13.225 4.054 30 12 63 6 +40 0 0.9966 0.9989 0.0000 9.986 3.703 30 12 48 13 0.9943 0.9989 0.0000 13.146 4.045 30 12 63 6 +41 0 0.9970 0.9989 0.0000 10.117 3.753 30 12 32 11 0.9943 0.9989 0.0000 13.074 4.038 30 12 63 6 +42 0 0.9978 0.9989 0.0000 9.984 3.717 30 12 20 6 0.9944 0.9989 0.0000 13.002 4.031 30 12 63 6 +43 0 0.9976 0.9989 0.0000 9.957 3.718 30 12 25 10 0.9945 0.9989 0.0000 12.933 4.023 30 12 63 6 +44 0 0.9968 0.9989 0.0000 9.710 3.644 30 12 28 7 0.9945 0.9989 0.0000 12.861 4.015 30 12 63 6 +45 0 0.9970 0.9989 0.0000 9.677 3.646 30 12 11 6 0.9946 0.9989 0.0000 12.792 4.007 30 12 63 6 +46 0 0.9978 0.9989 0.0000 9.638 3.635 30 12 61 14 0.9947 0.9989 0.0000 12.725 3.999 30 12 63 6 +47 0 0.9974 0.9989 0.0000 9.508 3.618 30 12 27 11 0.9947 0.9989 0.0000 12.658 3.991 30 12 63 6 +48 0 0.9970 0.9989 0.0000 9.439 3.624 30 12 12 5 0.9948 0.9989 0.0000 12.592 3.984 30 12 63 6 +49 0 0.9972 0.9989 0.0000 9.221 3.560 30 12 29 7 0.9948 0.9989 0.0000 12.525 3.975 30 12 63 6 +50 0 0.9970 0.9989 0.0000 9.324 3.587 30 12 19 7 0.9949 0.9989 0.0000 12.462 3.968 30 12 63 6 +51 0 0.9964 0.9989 0.0000 9.369 3.610 30 12 37 12 0.9949 0.9989 0.0000 12.402 3.961 30 12 63 6 diff --git a/PartB/90Cross10Mut2El/run_6/regress.sys b/PartB/90Cross10Mut2El/run_6/regress.sys new file mode 100644 index 0000000..e0cf9bb --- /dev/null +++ b/PartB/90Cross10Mut2El/run_6/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 126. +creating initial population(s): + 7313 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 82079116 + freed: 82031116 + not freed: 48000 + max allocated: 2521390 + malloc'ed blocks: 845327 + realloc'ed blocks: 8 + free'ed blocks: 845321 + +------- time ------- + overall: 18s wall + evaluation: 18s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 300 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8138 + freed: 8138 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_7/regress.bst b/PartB/90Cross10Mut2El/run_7/regress.bst new file mode 100644 index 0000000..dcdfa06 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_7/regress.bst @@ -0,0 +1,23 @@ +=== BEST-OF-RUN === + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +TREE-equ: +y = (log(convex) / ((exp(0.82991) + eccentricity) - exp((perimeter / exp(((major / (minor * convex)) - (major / perimeter))))))) diff --git a/PartB/90Cross10Mut2El/run_7/regress.fn b/PartB/90Cross10Mut2El/run_7/regress.fn new file mode 100644 index 0000000..dea0ce5 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_7/regress.fn @@ -0,0 +1,17 @@ +Hits: 2570, Total Size: 2810, Percent Hit: 91.459075 +CC: 970 +CO: 193 +OO: 1600 +OC: 47 +Fitness: 0.998896 +Hits: 905 + + +y = (log(convex) / ((exp(0.82991) + eccentricity) - exp((perimeter / exp(((major / (minor * convex)) - (major / perimeter))))))) + + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) diff --git a/PartB/90Cross10Mut2El/run_7/regress.gen b/PartB/90Cross10Mut2El/run_7/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_7/regress.his b/PartB/90Cross10Mut2El/run_7/regress.his new file mode 100644 index 0000000..9f55354 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_7/regress.his @@ -0,0 +1,1131 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 38 + depth: 5 + hits: 693 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 693 + raw fitness: 693.0000 + standardized fitness: 693.0000 + adjusted fitness: 0.9986 +TREE: + (/ (- (log (exp (log eccentricity))) + (log (exp (* area eccentricity)))) + (/ (/ (* (exp eccentricity) + (+ eccentricity convex)) + (exp (+ major perimeter))) + (* (/ (/ perimeter minor) + (- convex eccentricity)) + (- (* -0.56868 eccentricity) + (* convex -0.79970))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 38 + depth: 5 + hits: 693 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 693 + raw fitness: 693.0000 + standardized fitness: 693.0000 + adjusted fitness: 0.9986 +TREE: + (/ (- (log (exp (log eccentricity))) + (log (exp (* area eccentricity)))) + (/ (/ (* (exp eccentricity) + (+ eccentricity convex)) + (exp (+ major perimeter))) + (* (/ (/ perimeter minor) + (- convex eccentricity)) + (- (* -0.56868 eccentricity) + (* convex -0.79970))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 38 + depth: 5 + hits: 693 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 693 + raw fitness: 693.0000 + standardized fitness: 693.0000 + adjusted fitness: 0.9986 +TREE: + (/ (- (log (exp (log eccentricity))) + (log (exp (* area eccentricity)))) + (/ (/ (* (exp eccentricity) + (+ eccentricity convex)) + (exp (+ major perimeter))) + (* (/ (/ perimeter minor) + (- convex eccentricity)) + (- (* -0.56868 eccentricity) + (* convex -0.79970))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 44 + depth: 8 + hits: 704 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 704 + raw fitness: 704.0000 + standardized fitness: 704.0000 + adjusted fitness: 0.9986 +TREE: + (* (* (/ (+ (* convex perimeter) + (+ perimeter area)) + (exp (+ (log (log (/ convex -0.68632))) + (+ perimeter major)))) area) + (* (- (+ (+ minor area) + (exp major)) + (log (* 0.33737 area))) + (- (* (log eccentricity) + (* eccentricity -0.41977)) + (log (* area area))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 19 + depth: 8 + hits: 849 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 849 + raw fitness: 849.0000 + standardized fitness: 849.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ (/ major eccentricity) + (+ (exp (- (+ (+ perimeter 0.24552) + (+ perimeter + (exp extent))) major)) + (exp extent)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 19 + depth: 8 + hits: 849 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 849 + raw fitness: 849.0000 + standardized fitness: 849.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ (/ major eccentricity) + (+ (exp (- (+ (+ perimeter 0.24552) + (+ perimeter + (exp extent))) major)) + (exp extent)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 12 + depth: 6 + hits: 857 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 857 + raw fitness: 857.0000 + standardized fitness: 857.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major extent)) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 12 + depth: 6 + hits: 857 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 857 + raw fitness: 857.0000 + standardized fitness: 857.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major extent)) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 6 + nodes: 12 + depth: 6 + hits: 857 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 857 + raw fitness: 857.0000 + standardized fitness: 857.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major extent)) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 6 + nodes: 12 + depth: 6 + hits: 857 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 857 + raw fitness: 857.0000 + standardized fitness: 857.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major extent)) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 6 + nodes: 12 + depth: 6 + hits: 857 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 857 + raw fitness: 857.0000 + standardized fitness: 857.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major extent)) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 18 + depth: 9 + hits: 859 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 859 + raw fitness: 859.0000 + standardized fitness: 859.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major + (+ (/ area + (* major convex)) -0.24662))) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 11 + nodes: 18 + depth: 9 + hits: 859 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 859 + raw fitness: 859.0000 + standardized fitness: 859.0000 + adjusted fitness: 0.9988 +TREE: + (log (log (log (- (log (+ major + (+ (/ area + (* major convex)) -0.24662))) + (log (/ extent convex)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) +=== BEST-OF-RUN === + current generation: 51 + generation: 13 + nodes: 21 + depth: 8 + hits: 905 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 905 + raw fitness: 905.0000 + standardized fitness: 905.0000 + adjusted fitness: 0.9989 +TREE: + (/ (log convex) + (- (+ (exp 0.82991) eccentricity) + (exp (/ perimeter + (exp (- (/ major + (* minor convex)) + (/ major perimeter))))))) diff --git a/PartB/90Cross10Mut2El/run_7/regress.prg b/PartB/90Cross10Mut2El/run_7/regress.prg new file mode 100644 index 0000000..a560930 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_7/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 16606.00000, perimeter = 516.36499, major_axis_length = 211.59421, minor_axis_length = 101.76991, eccentricity = 0.87674, convex_area = 17032.00000, extent = 0.70712, type = C + area = 11905.00000, perimeter = 433.25000, major_axis_length = 172.77060, minor_axis_length = 89.23660, eccentricity = 0.85629, convex_area = 12224.00000, extent = 0.73207, type = O + area = 14680.00000, perimeter = 495.44400, major_axis_length = 206.75375, minor_axis_length = 91.29646, eccentricity = 0.89723, convex_area = 15091.00000, extent = 0.61159, type = C + area = 13121.00000, perimeter = 456.77200, major_axis_length = 181.99808, minor_axis_length = 93.46143, eccentricity = 0.85807, convex_area = 13490.00000, extent = 0.62732, type = O + area = 11639.00000, perimeter = 432.38699, major_axis_length = 178.69485, minor_axis_length = 83.95451, eccentricity = 0.88276, convex_area = 11940.00000, extent = 0.59358, type = O + area = 11768.00000, perimeter = 433.48001, major_axis_length = 179.83427, minor_axis_length = 83.96474, eccentricity = 0.88431, convex_area = 11993.00000, extent = 0.75567, type = O + area = 9225.00000, perimeter = 387.82401, major_axis_length = 163.40498, minor_axis_length = 72.74552, eccentricity = 0.89544, convex_area = 9422.00000, extent = 0.58505, type = O + area = 9817.00000, perimeter = 407.74600, major_axis_length = 170.08865, minor_axis_length = 74.70611, eccentricity = 0.89838, convex_area = 10032.00000, extent = 0.58306, type = O + area = 10604.00000, perimeter = 425.92599, major_axis_length = 179.15118, minor_axis_length = 76.35169, eccentricity = 0.90464, convex_area = 10830.00000, extent = 0.57490, type = C + area = 14011.00000, perimeter = 493.87900, major_axis_length = 212.63031, minor_axis_length = 85.02821, eccentricity = 0.91656, convex_area = 14336.00000, extent = 0.62799, type = C + area = 13431.00000, perimeter = 482.53000, major_axis_length = 212.45061, minor_axis_length = 81.18548, eccentricity = 0.92411, convex_area = 13786.00000, extent = 0.77798, type = C + area = 13687.00000, perimeter = 481.74500, major_axis_length = 201.17458, minor_axis_length = 87.95718, eccentricity = 0.89936, convex_area = 13979.00000, extent = 0.69832, type = C + area = 14712.00000, perimeter = 496.03601, major_axis_length = 212.73993, minor_axis_length = 89.09264, eccentricity = 0.90808, convex_area = 14925.00000, extent = 0.73395, type = C + area = 10919.00000, perimeter = 428.70200, major_axis_length = 182.93265, minor_axis_length = 77.90177, eccentricity = 0.90479, convex_area = 11162.00000, extent = 0.60905, type = O + area = 13949.00000, perimeter = 479.40201, major_axis_length = 200.09514, minor_axis_length = 90.09469, eccentricity = 0.89290, convex_area = 14286.00000, extent = 0.58155, type = C + area = 10208.00000, perimeter = 394.53000, major_axis_length = 161.66724, minor_axis_length = 81.41670, eccentricity = 0.86393, convex_area = 10361.00000, extent = 0.66097, type = O + area = 13884.00000, perimeter = 491.61801, major_axis_length = 207.65437, minor_axis_length = 86.34349, eccentricity = 0.90945, convex_area = 14232.00000, extent = 0.54236, type = C + area = 10756.00000, perimeter = 420.08600, major_axis_length = 170.63708, minor_axis_length = 81.58212, eccentricity = 0.87830, convex_area = 10957.00000, extent = 0.59498, type = O + area = 9918.00000, perimeter = 398.95499, major_axis_length = 161.46761, minor_axis_length = 79.89353, eccentricity = 0.86901, convex_area = 10270.00000, extent = 0.62209, type = O + area = 10574.00000, perimeter = 398.68100, major_axis_length = 157.80840, minor_axis_length = 86.85959, eccentricity = 0.83489, convex_area = 10829.00000, extent = 0.69356, type = O + area = 14556.00000, perimeter = 487.41901, major_axis_length = 208.73126, minor_axis_length = 89.19512, eccentricity = 0.90410, convex_area = 14819.00000, extent = 0.77649, type = C + area = 13918.00000, perimeter = 489.04001, major_axis_length = 207.88174, minor_axis_length = 86.49023, eccentricity = 0.90934, convex_area = 14263.00000, extent = 0.71876, type = C + area = 14880.00000, perimeter = 502.88101, major_axis_length = 217.99866, minor_axis_length = 87.55461, eccentricity = 0.91580, convex_area = 15129.00000, extent = 0.57670, type = C + area = 12734.00000, perimeter = 466.30600, major_axis_length = 198.72568, minor_axis_length = 82.28809, eccentricity = 0.91024, convex_area = 13021.00000, extent = 0.63495, type = O + area = 12752.00000, perimeter = 462.35999, major_axis_length = 190.73418, minor_axis_length = 86.67176, eccentricity = 0.89079, convex_area = 13112.00000, extent = 0.62843, type = C + area = 14477.00000, perimeter = 499.47000, major_axis_length = 217.10547, minor_axis_length = 85.79217, eccentricity = 0.91861, convex_area = 14726.00000, extent = 0.57551, type = C + area = 11935.00000, perimeter = 464.93301, major_axis_length = 196.53505, minor_axis_length = 79.72299, eccentricity = 0.91403, convex_area = 12358.00000, extent = 0.56663, type = C + area = 16505.00000, perimeter = 506.89600, major_axis_length = 207.34584, minor_axis_length = 103.24419, eccentricity = 0.86722, convex_area = 16782.00000, extent = 0.77817, type = C + area = 13632.00000, perimeter = 485.93701, major_axis_length = 205.21495, minor_axis_length = 85.83135, eccentricity = 0.90833, convex_area = 13905.00000, extent = 0.55012, type = C + area = 11569.00000, perimeter = 433.01300, major_axis_length = 183.72031, minor_axis_length = 80.48042, eccentricity = 0.89895, convex_area = 11734.00000, extent = 0.61037, type = O + area = 11339.00000, perimeter = 423.97000, major_axis_length = 171.70662, minor_axis_length = 85.35773, eccentricity = 0.86769, convex_area = 11531.00000, extent = 0.67919, type = O + area = 10780.00000, perimeter = 407.15799, major_axis_length = 163.39302, minor_axis_length = 85.59428, eccentricity = 0.85181, convex_area = 11096.00000, extent = 0.67375, type = O + area = 14746.00000, perimeter = 504.31400, 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0.86076, convex_area = 12923.00000, extent = 0.63142, type = O + area = 12220.00000, perimeter = 465.68600, major_axis_length = 200.17416, minor_axis_length = 79.04185, eccentricity = 0.91874, convex_area = 12588.00000, extent = 0.57438, type = C + area = 15811.00000, perimeter = 514.37799, major_axis_length = 218.73137, minor_axis_length = 93.16438, eccentricity = 0.90476, convex_area = 16135.00000, extent = 0.81867, type = C + area = 13523.00000, perimeter = 468.16699, major_axis_length = 195.40154, minor_axis_length = 88.65400, eccentricity = 0.89115, convex_area = 13811.00000, extent = 0.66793, type = C + area = 12675.00000, perimeter = 466.10101, major_axis_length = 195.80823, minor_axis_length = 83.40395, eccentricity = 0.90475, convex_area = 12977.00000, extent = 0.58025, type = O + area = 10527.00000, perimeter = 403.34799, major_axis_length = 163.06924, minor_axis_length = 83.84019, eccentricity = 0.85771, convex_area = 10725.00000, extent = 0.63504, type = O + area = 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0.9919 0.9988 0.0000 15.992 3.963 19 8 28 7 0.9847 0.9988 0.0000 16.678 3.740 19 8 64 6 +5 0 0.9939 0.9988 0.0000 15.912 4.016 19 8 35 9 0.9862 0.9988 0.0000 16.550 3.786 19 8 64 6 +6 0 0.9937 0.9988 0.0000 15.425 4.063 12 6 22 5 0.9873 0.9988 0.0000 16.390 3.825 12 6 64 6 +7 0 0.9937 0.9988 0.0000 15.000 4.069 12 6 80 15 0.9881 0.9988 0.0000 16.216 3.856 12 6 64 6 +8 0 0.9926 0.9988 0.0000 15.024 4.159 12 6 52 11 0.9886 0.9988 0.0000 16.084 3.889 12 6 64 6 +9 0 0.9949 0.9988 0.0000 14.702 4.172 12 6 10 4 0.9892 0.9988 0.0000 15.945 3.918 12 6 64 6 +10 0 0.9943 0.9988 0.0000 14.754 4.190 12 6 32 8 0.9897 0.9988 0.0000 15.837 3.942 12 6 64 6 +11 0 0.9935 0.9988 0.0000 14.705 4.231 18 9 58 7 0.9900 0.9988 0.0000 15.743 3.966 18 9 64 6 +12 0 0.9939 0.9988 0.0000 14.162 4.175 18 9 39 11 0.9903 0.9988 0.0000 15.621 3.982 18 9 64 6 +13 0 0.9947 0.9989 0.0000 13.031 3.998 21 8 42 13 0.9906 0.9989 0.0000 15.436 3.984 21 8 64 6 +14 0 0.9955 0.9989 0.0000 12.819 3.967 21 8 36 9 0.9910 0.9989 0.0000 15.262 3.982 21 8 64 6 +15 0 0.9949 0.9989 0.0000 12.902 4.047 21 8 45 10 0.9912 0.9989 0.0000 15.114 3.986 21 8 64 6 +16 0 0.9955 0.9989 0.0000 12.522 4.010 21 8 51 14 0.9915 0.9989 0.0000 14.962 3.988 21 8 64 6 +17 0 0.9947 0.9989 0.0000 12.442 4.027 21 8 28 9 0.9916 0.9989 0.0000 14.822 3.990 21 8 64 6 +18 0 0.9951 0.9989 0.0000 12.250 3.993 21 8 26 10 0.9918 0.9989 0.0000 14.686 3.990 21 8 64 6 +19 0 0.9955 0.9989 0.0000 12.029 3.928 21 8 12 5 0.9920 0.9989 0.0000 14.554 3.987 21 8 64 6 +20 0 0.9965 0.9989 0.0000 11.634 3.834 21 8 68 14 0.9922 0.9989 0.0000 14.415 3.980 21 8 64 6 +21 0 0.9969 0.9989 0.0000 11.648 3.843 21 8 14 5 0.9924 0.9989 0.0000 14.289 3.974 21 8 64 6 +22 0 0.9971 0.9989 0.0000 11.258 3.761 21 8 39 10 0.9926 0.9989 0.0000 14.157 3.964 21 8 64 6 +23 0 0.9971 0.9989 0.0000 11.374 3.793 21 8 32 11 0.9928 0.9989 0.0000 14.041 3.957 21 8 64 6 +24 0 0.9959 0.9989 0.0000 11.138 3.740 21 8 58 13 0.9930 0.9989 0.0000 13.925 3.949 21 8 64 6 +25 0 0.9967 0.9989 0.0000 10.396 3.635 21 8 20 5 0.9931 0.9989 0.0000 13.789 3.936 21 8 64 6 +26 0 0.9969 0.9989 0.0000 10.464 3.683 21 8 22 7 0.9932 0.9989 0.0000 13.666 3.927 21 8 64 6 +27 0 0.9971 0.9989 0.0000 10.384 3.679 21 8 40 8 0.9934 0.9989 0.0000 13.549 3.918 21 8 64 6 +28 0 0.9965 0.9989 0.0000 10.134 3.612 21 8 9 5 0.9935 0.9989 0.0000 13.431 3.908 21 8 64 6 +29 0 0.9969 0.9989 0.0000 10.206 3.660 21 8 44 12 0.9936 0.9989 0.0000 13.324 3.899 21 8 64 6 +30 0 0.9963 0.9989 0.0000 10.409 3.729 21 8 83 15 0.9937 0.9989 0.0000 13.230 3.894 21 8 64 6 +31 0 0.9965 0.9989 0.0000 10.514 3.771 21 8 33 9 0.9938 0.9989 0.0000 13.145 3.890 21 8 64 6 +32 0 0.9967 0.9989 0.0000 10.290 3.731 21 8 29 9 0.9939 0.9989 0.0000 13.058 3.885 21 8 64 6 +33 0 0.9957 0.9989 0.0000 10.324 3.788 21 8 43 11 0.9939 0.9989 0.0000 12.978 3.882 21 8 64 6 +34 0 0.9947 0.9989 0.0000 10.136 3.742 21 8 45 11 0.9939 0.9989 0.0000 12.897 3.878 21 8 64 6 +35 0 0.9969 0.9989 0.0000 9.850 3.658 21 8 39 14 0.9940 0.9989 0.0000 12.812 3.872 21 8 64 6 +36 0 0.9959 0.9989 0.0000 9.670 3.642 21 8 12 4 0.9941 0.9989 0.0000 12.727 3.866 21 8 64 6 +37 0 0.9965 0.9989 0.0000 9.522 3.603 21 8 15 6 0.9941 0.9989 0.0000 12.643 3.859 21 8 64 6 +38 0 0.9971 0.9989 0.0000 9.592 3.633 21 8 17 7 0.9942 0.9989 0.0000 12.564 3.853 21 8 64 6 +39 0 0.9967 0.9989 0.0000 9.293 3.552 21 8 13 5 0.9943 0.9989 0.0000 12.483 3.846 21 8 64 6 +40 0 0.9963 0.9989 0.0000 9.226 3.549 21 8 30 11 0.9943 0.9989 0.0000 12.403 3.839 21 8 64 6 +41 0 0.9971 0.9989 0.0000 8.918 3.450 21 8 21 6 0.9944 0.9989 0.0000 12.320 3.829 21 8 64 6 +42 0 0.9959 0.9989 0.0000 8.666 3.352 21 8 20 6 0.9944 0.9989 0.0000 12.235 3.818 21 8 64 6 +43 0 0.9959 0.9989 0.0000 8.775 3.379 21 8 15 5 0.9945 0.9989 0.0000 12.157 3.808 21 8 64 6 +44 0 0.9971 0.9989 0.0000 8.458 3.296 21 8 7 3 0.9945 0.9989 0.0000 12.074 3.797 21 8 64 6 +45 0 0.9963 0.9989 0.0000 8.403 3.299 21 8 8 4 0.9946 0.9989 0.0000 11.995 3.786 21 8 64 6 +46 0 0.9971 0.9989 0.0000 8.216 3.229 21 8 39 12 0.9946 0.9989 0.0000 11.914 3.774 21 8 64 6 +47 0 0.9973 0.9989 0.0000 8.103 3.192 21 8 17 6 0.9947 0.9989 0.0000 11.835 3.762 21 8 64 6 +48 0 0.9973 0.9989 0.0000 7.990 3.174 21 8 14 8 0.9947 0.9989 0.0000 11.756 3.750 21 8 64 6 +49 0 0.9963 0.9989 0.0000 7.856 3.119 21 8 45 12 0.9948 0.9989 0.0000 11.678 3.737 21 8 64 6 +50 0 0.9971 0.9989 0.0000 7.702 3.064 21 8 9 4 0.9948 0.9989 0.0000 11.600 3.724 21 8 64 6 +51 0 0.9973 0.9989 0.0000 7.593 3.034 21 8 7 3 0.9949 0.9989 0.0000 11.523 3.711 21 8 64 6 diff --git a/PartB/90Cross10Mut2El/run_7/regress.sys b/PartB/90Cross10Mut2El/run_7/regress.sys new file mode 100644 index 0000000..4c35b3d --- /dev/null +++ b/PartB/90Cross10Mut2El/run_7/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 243. +creating initial population(s): + 7246 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 77963969 + freed: 77915969 + not freed: 48000 + max allocated: 2530846 + malloc'ed blocks: 845496 + realloc'ed blocks: 7 + free'ed blocks: 845490 + +------- time ------- + overall: 18s wall + evaluation: 16s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8181 + freed: 8181 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_8/regress.bst b/PartB/90Cross10Mut2El/run_8/regress.bst new file mode 100644 index 0000000..27299da --- /dev/null +++ b/PartB/90Cross10Mut2El/run_8/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 36 + nodes: 22 + depth: 6 + hits: 909 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 909 + raw fitness: 909.0000 + standardized fitness: 909.0000 + adjusted fitness: 0.9989 +TREE: + (+ (exp (* (log (+ -0.63537 minor)) + (* (log (log minor)) eccentricity))) + (+ (/ perimeter perimeter) + (* (* -0.97826 + (log minor)) minor))) +TREE-equ: +y = (exp((log((-0.63537 + minor)) * (log(log(minor)) * eccentricity))) + ((perimeter / perimeter) + ((-0.97826 * log(minor)) * minor))) diff --git a/PartB/90Cross10Mut2El/run_8/regress.fn b/PartB/90Cross10Mut2El/run_8/regress.fn new file mode 100644 index 0000000..bb42d17 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_8/regress.fn @@ -0,0 +1,16 @@ +Hits: 2546, Total Size: 2810, Percent Hit: 90.604982 +CC: 1009 +CO: 104 +OO: 1537 +OC: 160 +Fitness: 0.998901 +Hits: 909 + + +y = (exp((log((-0.63537 + minor)) * (log(log(minor)) * eccentricity))) + ((perimeter / perimeter) + ((-0.97826 * log(minor)) * minor))) + + (+ (exp (* (log (+ -0.63537 minor)) + (* (log (log minor)) eccentricity))) + (+ (/ perimeter perimeter) + (* (* -0.97826 + (log minor)) minor))) diff --git a/PartB/90Cross10Mut2El/run_8/regress.gen b/PartB/90Cross10Mut2El/run_8/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_8/regress.his b/PartB/90Cross10Mut2El/run_8/regress.his new file mode 100644 index 0000000..33f72cc --- /dev/null +++ b/PartB/90Cross10Mut2El/run_8/regress.his @@ -0,0 +1,1021 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 50 + depth: 5 + hits: 729 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 729 + raw fitness: 729.0000 + standardized fitness: 729.0000 + adjusted fitness: 0.9986 +TREE: + (/ (/ (log (+ (* -0.21509 minor) + (/ convex major))) + (* (/ (- extent minor) + (+ -0.87672 eccentricity)) + (/ (* major perimeter) + (log convex)))) + (* (+ (* (/ eccentricity perimeter) + (* perimeter minor)) + (exp (* -0.95981 0.71045))) + (* (/ (log eccentricity) + (- area area)) + (- (log minor) + (+ area eccentricity))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 50 + depth: 5 + hits: 729 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 729 + raw fitness: 729.0000 + standardized fitness: 729.0000 + adjusted fitness: 0.9986 +TREE: + (/ (/ (log (+ (* -0.21509 minor) + (/ convex major))) + (* (/ (- extent minor) + (+ -0.87672 eccentricity)) + (/ (* major perimeter) + (log convex)))) + (* (+ (* (/ eccentricity perimeter) + (* perimeter minor)) + (exp (* -0.95981 0.71045))) + (* (/ (log eccentricity) + (- area area)) + (- (log minor) + (+ area eccentricity))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 50 + depth: 5 + hits: 729 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 729 + raw fitness: 729.0000 + standardized fitness: 729.0000 + adjusted fitness: 0.9986 +TREE: + (/ (/ (log (+ (* -0.21509 minor) + (/ convex major))) + (* (/ (- extent minor) + (+ -0.87672 eccentricity)) + (/ (* major perimeter) + (log convex)))) + (* (+ (* (/ eccentricity perimeter) + (* perimeter minor)) + (exp (* -0.95981 0.71045))) + (* (/ (log eccentricity) + (- area area)) + (- (log minor) + (+ area eccentricity))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 3 + nodes: 10 + depth: 5 + hits: 756 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 756 + raw fitness: 756.0000 + standardized fitness: 756.0000 + adjusted fitness: 0.9987 +TREE: + (log (log (log (/ (+ minor major) + (- major eccentricity))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 3 + depth: 1 + hits: 762 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 762 + raw fitness: 762.0000 + standardized fitness: 762.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88061) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 3 + depth: 1 + hits: 762 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 762 + raw fitness: 762.0000 + standardized fitness: 762.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88061) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 8 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 9 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 10 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 11 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 12 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 13 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 14 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 15 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 16 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 17 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 18 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 19 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 20 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 21 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 22 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 23 + generation: 6 + nodes: 13 + depth: 5 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (+ (exp (log (* (- major eccentricity) + (+ -0.44892 eccentricity)))) + (- eccentricity minor)) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 25 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 26 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 27 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 28 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 29 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 30 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 31 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 32 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 33 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 34 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 35 + generation: 24 + nodes: 3 + depth: 1 + hits: 792 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 792 + raw fitness: 792.0000 + standardized fitness: 792.0000 + adjusted fitness: 0.9987 +TREE: + (+ eccentricity -0.89006) +=== BEST-OF-RUN === + current generation: 36 + generation: 36 + nodes: 22 + depth: 6 + hits: 909 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 909 + 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fitness: 909.0000 + adjusted fitness: 0.9989 +TREE: + (+ (exp (* (log (+ -0.63537 minor)) + (* (log (log minor)) eccentricity))) + (+ (/ perimeter perimeter) + (* (* -0.97826 + (log minor)) minor))) +=== BEST-OF-RUN === + current generation: 50 + generation: 36 + nodes: 22 + depth: 6 + hits: 909 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 909 + raw fitness: 909.0000 + standardized fitness: 909.0000 + adjusted fitness: 0.9989 +TREE: + (+ (exp (* (log (+ -0.63537 minor)) + (* (log (log minor)) eccentricity))) + (+ (/ perimeter perimeter) + (* (* -0.97826 + (log minor)) minor))) +=== BEST-OF-RUN === + current generation: 51 + generation: 36 + nodes: 22 + depth: 6 + hits: 909 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 909 + raw fitness: 909.0000 + standardized fitness: 909.0000 + adjusted fitness: 0.9989 +TREE: + (+ (exp (* (log (+ -0.63537 minor)) + (* (log (log minor)) eccentricity))) + (+ (/ perimeter perimeter) + (* (* -0.97826 + (log minor)) minor))) diff --git a/PartB/90Cross10Mut2El/run_8/regress.prg b/PartB/90Cross10Mut2El/run_8/regress.prg new file mode 100644 index 0000000..0e642d1 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_8/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 12529.00000, perimeter = 437.83899, major_axis_length = 174.86145, minor_axis_length = 92.18926, eccentricity = 0.84973, convex_area = 12840.00000, extent = 0.76602, type = O + area = 11543.00000, perimeter = 428.60199, major_axis_length = 175.37068, minor_axis_length = 85.05824, eccentricity = 0.87450, convex_area = 11859.00000, extent = 0.67107, type = O + area = 11672.00000, perimeter = 430.64200, major_axis_length = 177.94815, minor_axis_length = 84.67979, eccentricity = 0.87952, convex_area = 11849.00000, extent = 0.59746, type = O + area = 11852.00000, perimeter = 446.07700, major_axis_length = 192.05428, minor_axis_length = 79.09919, eccentricity = 0.91125, convex_area = 12029.00000, extent = 0.71700, type = C 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minor_axis_length = 85.22990, eccentricity = 0.88997, convex_area = 12659.00000, extent = 0.60525, type = O + area = 14061.00000, perimeter = 470.74899, major_axis_length = 190.29001, minor_axis_length = 95.00540, eccentricity = 0.86645, convex_area = 14347.00000, extent = 0.61801, type = C + area = 14723.00000, perimeter = 490.70901, major_axis_length = 205.41713, minor_axis_length = 92.49973, eccentricity = 0.89288, convex_area = 15013.00000, extent = 0.57019, type = O + area = 12758.00000, perimeter = 456.63800, major_axis_length = 190.36832, minor_axis_length = 86.16264, eccentricity = 0.89171, convex_area = 13177.00000, extent = 0.70335, type = C + area = 14189.00000, perimeter = 491.97299, major_axis_length = 209.93643, minor_axis_length = 86.80910, eccentricity = 0.91050, convex_area = 14496.00000, extent = 0.55099, type = C + area = 15862.00000, perimeter = 507.54800, major_axis_length = 214.87325, minor_axis_length = 94.80012, eccentricity = 0.89741, convex_area = 16098.00000, extent = 0.80834, type = C + area = 14314.00000, perimeter = 484.73099, major_axis_length = 206.86554, minor_axis_length = 88.56290, eccentricity = 0.90372, convex_area = 14536.00000, extent = 0.75337, type = C + area = 12008.00000, perimeter = 440.51801, major_axis_length = 185.98866, minor_axis_length = 83.02412, eccentricity = 0.89484, convex_area = 12227.00000, extent = 0.69940, type = O + area = 10784.00000, perimeter = 424.14401, major_axis_length = 176.95996, minor_axis_length = 78.46128, eccentricity = 0.89633, convex_area = 11091.00000, extent = 0.63690, type = O + area = 13933.00000, perimeter = 483.93201, major_axis_length = 207.20593, minor_axis_length = 86.29932, eccentricity = 0.90914, convex_area = 14238.00000, extent = 0.58839, type = C + area = 11635.00000, perimeter = 449.30899, major_axis_length = 197.57065, minor_axis_length = 75.25814, eccentricity = 0.92461, convex_area = 11842.00000, extent = 0.52189, type = O + area = 12437.00000, perimeter = 462.72699, major_axis_length = 193.92091, minor_axis_length = 83.32165, eccentricity = 0.90299, convex_area = 12841.00000, extent = 0.57595, type = O + area = 12659.00000, perimeter = 445.31900, major_axis_length = 179.94334, minor_axis_length = 90.13163, eccentricity = 0.86551, convex_area = 12848.00000, extent = 0.61691, type = O + area = 11889.00000, perimeter = 439.98901, major_axis_length = 186.10785, minor_axis_length = 82.14304, eccentricity = 0.89732, convex_area = 12096.00000, extent = 0.79771, type = O + area = 10587.00000, perimeter = 399.63501, major_axis_length = 166.36543, minor_axis_length = 81.32897, eccentricity = 0.87236, convex_area = 10723.00000, extent = 0.63735, type = O + area = 17313.00000, perimeter = 531.98401, major_axis_length = 225.53459, minor_axis_length = 98.44350, eccentricity = 0.89971, convex_area = 17582.00000, extent = 0.56988, type = C + area = 11866.00000, perimeter = 436.12900, major_axis_length = 176.12086, minor_axis_length = 87.78806, eccentricity = 0.86692, convex_area = 12210.00000, extent = 0.61622, type = O + area = 13331.00000, perimeter = 461.30899, major_axis_length = 193.55994, minor_axis_length = 88.79623, eccentricity = 0.88856, convex_area = 13500.00000, extent = 0.57951, type = O + area = 12800.00000, perimeter = 447.02499, major_axis_length = 181.76909, minor_axis_length = 90.76634, eccentricity = 0.86640, convex_area = 12958.00000, extent = 0.61022, type = O diff --git a/PartB/90Cross10Mut2El/run_8/regress.stt b/PartB/90Cross10Mut2El/run_8/regress.stt new file mode 100644 index 0000000..e7dc55a --- /dev/null +++ b/PartB/90Cross10Mut2El/run_8/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9576 0.9986 0.0000 17.976 3.432 50 5 78 6 0.9576 0.9986 0.0000 17.976 3.432 50 5 78 6 +1 0 0.9904 0.9986 0.0000 16.702 3.622 50 5 19 6 0.9740 0.9986 0.0000 17.339 3.527 50 5 78 6 +2 0 0.9906 0.9986 0.0000 16.304 3.778 50 5 32 6 0.9796 0.9986 0.0000 16.994 3.611 50 5 78 6 +3 0 0.9924 0.9987 0.0000 15.969 3.860 10 5 20 7 0.9828 0.9987 0.0000 16.738 3.673 10 5 78 6 +4 0 0.9936 0.9987 0.0000 15.385 3.896 3 1 63 6 0.9850 0.9987 0.0000 16.467 3.718 3 1 78 6 +5 0 0.9938 0.9987 0.0000 14.804 3.881 3 1 58 9 0.9864 0.9987 0.0000 16.190 3.745 3 1 78 6 +6 0 0.9938 0.9987 0.0000 14.767 3.949 13 5 86 12 0.9875 0.9987 0.0000 15.987 3.774 13 5 78 6 +7 0 0.9940 0.9987 0.0000 14.701 4.002 13 5 49 9 0.9883 0.9987 0.0000 15.826 3.803 13 5 78 6 +8 0 0.9948 0.9987 0.0000 13.911 3.975 13 5 13 6 0.9890 0.9987 0.0000 15.613 3.822 13 5 78 6 +9 0 0.9938 0.9987 0.0000 13.629 3.983 13 5 50 8 0.9895 0.9987 0.0000 15.415 3.838 13 5 78 6 +10 0 0.9952 0.9987 0.0000 13.455 3.978 13 5 76 15 0.9900 0.9987 0.0000 15.237 3.851 13 5 78 6 +11 0 0.9956 0.9987 0.0000 13.125 3.949 13 5 58 12 0.9905 0.9987 0.0000 15.061 3.859 13 5 78 6 +12 0 0.9958 0.9987 0.0000 12.723 3.901 13 5 31 9 0.9909 0.9987 0.0000 14.881 3.862 13 5 78 6 +13 0 0.9947 0.9987 0.0000 12.663 3.927 13 5 44 5 0.9912 0.9987 0.0000 14.722 3.867 13 5 78 6 +14 0 0.9951 0.9987 0.0000 12.275 3.858 13 5 28 8 0.9914 0.9987 0.0000 14.559 3.866 13 5 78 6 +15 0 0.9952 0.9987 0.0000 12.184 3.872 13 5 14 7 0.9917 0.9987 0.0000 14.411 3.866 13 5 78 6 +16 0 0.9946 0.9987 0.0000 12.159 3.875 13 5 42 9 0.9919 0.9987 0.0000 14.278 3.867 13 5 78 6 +17 0 0.9962 0.9987 0.0000 12.003 3.868 13 5 65 10 0.9921 0.9987 0.0000 14.152 3.867 13 5 78 6 +18 0 0.9968 0.9987 0.0000 11.656 3.845 13 5 50 13 0.9923 0.9987 0.0000 14.021 3.866 13 5 78 6 +19 0 0.9968 0.9987 0.0000 11.610 3.856 13 5 38 8 0.9926 0.9987 0.0000 13.900 3.865 13 5 78 6 +20 0 0.9968 0.9987 0.0000 11.295 3.790 13 5 19 8 0.9928 0.9987 0.0000 13.776 3.862 13 5 78 6 +21 0 0.9960 0.9987 0.0000 11.108 3.740 13 5 46 8 0.9929 0.9987 0.0000 13.655 3.856 13 5 78 6 +22 0 0.9958 0.9987 0.0000 11.177 3.814 13 5 27 9 0.9931 0.9987 0.0000 13.547 3.854 13 5 78 6 +23 0 0.9962 0.9987 0.0000 10.880 3.764 13 5 33 8 0.9932 0.9987 0.0000 13.436 3.851 13 5 78 6 +24 0 0.9962 0.9987 0.0000 10.549 3.722 3 1 34 8 0.9933 0.9987 0.0000 13.320 3.846 3 1 78 6 +25 0 0.9960 0.9987 0.0000 10.579 3.754 3 1 22 5 0.9934 0.9987 0.0000 13.215 3.842 3 1 78 6 +26 0 0.9970 0.9987 0.0000 10.524 3.746 3 1 11 4 0.9935 0.9987 0.0000 13.115 3.838 3 1 78 6 +27 0 0.9958 0.9987 0.0000 10.386 3.717 3 1 29 10 0.9936 0.9987 0.0000 13.018 3.834 3 1 78 6 +28 0 0.9964 0.9987 0.0000 10.357 3.752 3 1 24 11 0.9937 0.9987 0.0000 12.926 3.831 3 1 78 6 +29 0 0.9966 0.9987 0.0000 10.131 3.677 3 1 30 9 0.9938 0.9987 0.0000 12.833 3.826 3 1 78 6 +30 0 0.9968 0.9987 0.0000 10.118 3.679 3 1 31 9 0.9939 0.9987 0.0000 12.745 3.821 3 1 78 6 +31 0 0.9946 0.9987 0.0000 9.688 3.576 3 1 28 10 0.9939 0.9987 0.0000 12.650 3.814 3 1 78 6 +32 0 0.9962 0.9987 0.0000 9.452 3.518 3 1 25 9 0.9940 0.9987 0.0000 12.553 3.805 3 1 78 6 +33 0 0.9970 0.9987 0.0000 9.176 3.448 3 1 10 4 0.9941 0.9987 0.0000 12.454 3.794 3 1 78 6 +34 0 0.9976 0.9987 0.0000 8.907 3.375 3 1 47 9 0.9942 0.9987 0.0000 12.352 3.782 3 1 78 6 +35 0 0.9968 0.9987 0.0000 8.611 3.286 3 1 11 4 0.9943 0.9987 0.0000 12.248 3.768 3 1 78 6 +36 0 0.9970 0.9989 0.0000 8.364 3.200 22 6 14 8 0.9943 0.9989 0.0000 12.143 3.753 22 6 78 6 +37 0 0.9976 0.9989 0.0000 8.273 3.190 22 6 21 8 0.9944 0.9989 0.0000 12.041 3.738 22 6 78 6 +38 0 0.9966 0.9989 0.0000 8.264 3.192 22 6 11 3 0.9945 0.9989 0.0000 11.945 3.724 22 6 78 6 +39 0 0.9970 0.9989 0.0000 8.088 3.128 22 6 31 8 0.9946 0.9989 0.0000 11.848 3.709 22 6 78 6 +40 0 0.9962 0.9989 0.0000 8.063 3.123 22 6 20 7 0.9946 0.9989 0.0000 11.756 3.695 22 6 78 6 +41 0 0.9972 0.9989 0.0000 7.937 3.051 22 6 11 5 0.9947 0.9989 0.0000 11.665 3.680 22 6 78 6 +42 0 0.9972 0.9989 0.0000 7.775 3.024 22 6 7 3 0.9947 0.9989 0.0000 11.575 3.664 22 6 78 6 +43 0 0.9968 0.9989 0.0000 7.708 3.024 22 6 7 3 0.9948 0.9989 0.0000 11.487 3.650 22 6 78 6 +44 0 0.9968 0.9989 0.0000 7.641 3.014 22 6 48 10 0.9948 0.9989 0.0000 11.401 3.636 22 6 78 6 +45 0 0.9976 0.9989 0.0000 7.663 3.019 22 6 22 9 0.9949 0.9989 0.0000 11.320 3.622 22 6 78 6 +46 0 0.9970 0.9989 0.0000 7.484 2.980 22 6 13 5 0.9949 0.9989 0.0000 11.238 3.609 22 6 78 6 +47 0 0.9972 0.9989 0.0000 7.520 2.980 22 6 7 3 0.9950 0.9989 0.0000 11.161 3.596 22 6 78 6 +48 0 0.9966 0.9989 0.0000 7.324 2.926 22 6 8 4 0.9950 0.9989 0.0000 11.083 3.582 22 6 78 6 +49 0 0.9974 0.9989 0.0000 7.281 2.911 22 6 31 9 0.9951 0.9989 0.0000 11.007 3.569 22 6 78 6 +50 0 0.9974 0.9989 0.0000 7.269 2.901 22 6 13 5 0.9951 0.9989 0.0000 10.933 3.555 22 6 78 6 +51 0 0.9970 0.9989 0.0000 7.068 2.835 22 6 19 8 0.9951 0.9989 0.0000 10.859 3.542 22 6 78 6 diff --git a/PartB/90Cross10Mut2El/run_8/regress.sys b/PartB/90Cross10Mut2El/run_8/regress.sys new file mode 100644 index 0000000..9d08d7d --- /dev/null +++ b/PartB/90Cross10Mut2El/run_8/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 588. +creating initial population(s): + 7360 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 75154573 + freed: 75106573 + not freed: 48000 + max allocated: 2516014 + malloc'ed blocks: 844890 + realloc'ed blocks: 7 + free'ed blocks: 844884 + +------- time ------- + overall: 16s wall + evaluation: 13s wall + breeding: 3s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8151 + freed: 8151 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross10Mut2El/run_9/regress.bst b/PartB/90Cross10Mut2El/run_9/regress.bst new file mode 100644 index 0000000..9387fae --- /dev/null +++ b/PartB/90Cross10Mut2El/run_9/regress.bst @@ -0,0 +1,21 @@ +=== BEST-OF-RUN === + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +TREE-equ: +y = log((exp((minor / log(eccentricity))) / (minor - (extent / area)))) diff --git a/PartB/90Cross10Mut2El/run_9/regress.fn b/PartB/90Cross10Mut2El/run_9/regress.fn new file mode 100644 index 0000000..62536da --- /dev/null +++ b/PartB/90Cross10Mut2El/run_9/regress.fn @@ -0,0 +1,15 @@ +Hits: 2450, Total Size: 2810, Percent Hit: 87.188612 +CC: 1040 +CO: 108 +OO: 1410 +OC: 252 +Fitness: 0.998866 +Hits: 881 + + +y = log((exp((minor / log(eccentricity))) / (minor - (extent / area)))) + + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) diff --git a/PartB/90Cross10Mut2El/run_9/regress.gen b/PartB/90Cross10Mut2El/run_9/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross10Mut2El/run_9/regress.his b/PartB/90Cross10Mut2El/run_9/regress.his new file mode 100644 index 0000000..f6fdb23 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_9/regress.his @@ -0,0 +1,1112 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 8 + depth: 3 + hits: 770 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 770 + raw fitness: 770.0000 + standardized fitness: 770.0000 + adjusted fitness: 0.9987 +TREE: + (log (/ (+ eccentricity -0.36468) + (* 0.58788 eccentricity))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 8 + depth: 3 + hits: 770 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 770 + raw fitness: 770.0000 + standardized fitness: 770.0000 + adjusted fitness: 0.9987 +TREE: + (log (/ (+ eccentricity -0.36468) + (* 0.58788 eccentricity))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 9 + generation: 2 + nodes: 28 + depth: 6 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- 0.76680 + (/ (/ major perimeter) + (- (log (+ area eccentricity)) + (log (* minor minor))))) + (- (log (/ extent perimeter)) + (- (/ major area) + (/ minor 0.59107)))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 52 + depth: 8 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (+ (log (log (+ (+ perimeter 0.24322) + (log minor)))) + (- (* (+ (- (/ 0.09835 + (* extent major)) + (* -0.77562 -0.86397)) + (- (- eccentricity 0.15609) + (/ perimeter convex))) + (+ (/ (+ extent eccentricity) + (/ (+ extent 0.25743) major)) + (+ eccentricity + (- (* (+ eccentricity eccentricity) eccentricity) major)))) + (exp (exp (* extent eccentricity))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 12 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 13 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 14 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- 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+TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- 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+=== BEST-OF-RUN === + current generation: 22 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 29 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 30 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 31 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 32 + generation: 11 + nodes: 29 + depth: 7 + hits: 827 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 827 + raw fitness: 827.0000 + standardized fitness: 827.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (+ (exp (- perimeter extent)) + (/ perimeter convex))) + (log (/ (/ (/ -0.04096 minor) + (- major minor)) + (- (exp (+ (+ perimeter major) + (+ 0.48362 minor))) -0.89854)))) +=== BEST-OF-RUN === + current generation: 33 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 34 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 35 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 36 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 37 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 38 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 39 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 40 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 41 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 42 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 43 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 44 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 45 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 46 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 47 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 48 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 49 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 50 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) +=== BEST-OF-RUN === + current generation: 51 + generation: 33 + nodes: 12 + depth: 5 + hits: 881 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 881 + raw fitness: 881.0000 + standardized fitness: 881.0000 + adjusted fitness: 0.9989 +TREE: + (log (/ (exp (/ minor + (log eccentricity))) + (- minor + (/ extent area)))) diff --git a/PartB/90Cross10Mut2El/run_9/regress.prg b/PartB/90Cross10Mut2El/run_9/regress.prg new file mode 100644 index 0000000..6d03506 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_9/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 9520.00000, perimeter = 394.89099, major_axis_length = 161.31520, minor_axis_length = 76.16378, eccentricity = 0.88152, convex_area = 9852.00000, 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extent = 0.66020, type = O + area = 12699.00000, perimeter = 458.01300, major_axis_length = 192.59450, minor_axis_length = 85.20386, eccentricity = 0.89682, convex_area = 12965.00000, extent = 0.59065, type = C + area = 12244.00000, perimeter = 455.27499, major_axis_length = 192.50739, minor_axis_length = 81.42862, eccentricity = 0.90613, convex_area = 12480.00000, extent = 0.57524, type = C + area = 14317.00000, perimeter = 499.11099, major_axis_length = 206.77942, minor_axis_length = 89.82534, eccentricity = 0.90072, convex_area = 14815.00000, extent = 0.80424, type = C + area = 12583.00000, perimeter = 434.00299, major_axis_length = 171.65707, minor_axis_length = 94.46523, eccentricity = 0.83496, convex_area = 12897.00000, extent = 0.74328, type = O + area = 10885.00000, perimeter = 434.27301, major_axis_length = 191.09132, minor_axis_length = 73.54861, eccentricity = 0.92296, convex_area = 11024.00000, extent = 0.79990, type = C + area = 11183.00000, perimeter = 414.34900, major_axis_length = 170.64938, minor_axis_length = 83.88195, eccentricity = 0.87085, convex_area = 11321.00000, extent = 0.61699, type = O + area = 11485.00000, perimeter = 419.40500, major_axis_length = 175.86812, minor_axis_length = 83.69998, eccentricity = 0.87949, convex_area = 11610.00000, extent = 0.79985, type = O + area = 12602.00000, perimeter = 465.91699, major_axis_length = 194.45514, minor_axis_length = 84.83201, eccentricity = 0.89982, convex_area = 13039.00000, extent = 0.65026, type = C + area = 10657.00000, perimeter = 407.76501, major_axis_length = 168.73734, minor_axis_length = 80.82008, eccentricity = 0.87783, convex_area = 10826.00000, extent = 0.60953, type = O + area = 11337.00000, perimeter = 433.97800, major_axis_length = 184.34811, minor_axis_length = 78.86770, eccentricity = 0.90386, convex_area = 11506.00000, extent = 0.65661, type = O + area = 13446.00000, perimeter = 475.12799, major_axis_length = 198.69955, minor_axis_length = 87.37930, eccentricity = 0.89812, convex_area = 13765.00000, extent = 0.57572, type = C + area = 10236.00000, perimeter = 398.53799, major_axis_length = 160.84901, minor_axis_length = 82.49160, eccentricity = 0.85848, convex_area = 10392.00000, extent = 0.79565, type = O + area = 10536.00000, perimeter = 425.36700, major_axis_length = 182.95021, minor_axis_length = 73.86765, eccentricity = 0.91487, convex_area = 10704.00000, extent = 0.75043, type = O + area = 11297.00000, perimeter = 418.95300, major_axis_length = 172.96742, minor_axis_length = 84.43346, eccentricity = 0.87276, convex_area = 11482.00000, extent = 0.62294, type = O + area = 14622.00000, perimeter = 481.61600, major_axis_length = 200.05356, minor_axis_length = 94.38364, eccentricity = 0.88171, convex_area = 14845.00000, extent = 0.60895, type = C + area = 11176.00000, perimeter = 427.33301, major_axis_length = 176.65585, minor_axis_length = 82.13243, eccentricity = 0.88535, convex_area = 11438.00000, extent = 0.58087, type = O + area = 11530.00000, perimeter = 425.39200, major_axis_length = 177.01521, minor_axis_length = 83.92692, eccentricity = 0.88046, convex_area = 11686.00000, extent = 0.80810, type = O + area = 12605.00000, perimeter = 448.84601, major_axis_length = 186.71645, minor_axis_length = 86.67118, eccentricity = 0.88574, convex_area = 12804.00000, extent = 0.72597, type = O + area = 12715.00000, perimeter = 462.61700, major_axis_length = 197.49364, minor_axis_length = 82.39475, eccentricity = 0.90881, convex_area = 12924.00000, extent = 0.68272, type = O + area = 11395.00000, perimeter = 421.96301, major_axis_length = 169.74678, minor_axis_length = 86.97183, eccentricity = 0.85877, convex_area = 11586.00000, extent = 0.62370, type = O + area = 12763.00000, perimeter = 454.90201, major_axis_length = 185.22537, minor_axis_length = 89.68470, eccentricity = 0.87496, convex_area = 13081.00000, extent = 0.62271, type = O + area = 10594.00000, perimeter = 409.82199, major_axis_length = 164.28784, minor_axis_length = 84.05598, eccentricity = 0.85920, convex_area = 10977.00000, extent = 0.62790, type = O + area = 14488.00000, perimeter = 489.81799, major_axis_length = 204.66519, minor_axis_length = 91.22495, eccentricity = 0.89517, convex_area = 14826.00000, extent = 0.63829, type = C + area = 10691.00000, perimeter = 407.08701, major_axis_length = 163.29175, minor_axis_length = 84.58920, eccentricity = 0.85537, convex_area = 10921.00000, extent = 0.61210, type = O + area = 11917.00000, perimeter = 437.30399, major_axis_length = 179.57648, minor_axis_length = 85.64931, eccentricity = 0.87893, convex_area = 12192.00000, extent = 0.63936, type = O + area = 11016.00000, perimeter = 404.35400, major_axis_length = 166.70659, minor_axis_length = 84.50535, eccentricity = 0.86200, convex_area = 11146.00000, extent = 0.76330, type = O + area = 13218.00000, perimeter = 458.76300, major_axis_length = 183.63066, minor_axis_length = 93.50396, eccentricity = 0.86065, convex_area = 13547.00000, extent = 0.77662, type = O + area = 10497.00000, perimeter = 417.50601, major_axis_length = 169.24020, minor_axis_length = 80.12229, eccentricity = 0.88083, convex_area = 10753.00000, extent = 0.58162, type = O + area = 15557.00000, perimeter = 514.53699, major_axis_length = 214.07512, minor_axis_length = 93.85390, eccentricity = 0.89877, convex_area = 15942.00000, extent = 0.69556, type = C + area = 14732.00000, perimeter = 497.69400, major_axis_length = 207.46820, minor_axis_length = 91.29447, eccentricity = 0.89798, convex_area = 15000.00000, extent = 0.58037, type = C + area = 13289.00000, perimeter = 467.31500, major_axis_length = 194.88419, minor_axis_length = 87.81412, eccentricity = 0.89273, convex_area = 13628.00000, extent = 0.69540, type = C + area = 12723.00000, perimeter = 460.88000, major_axis_length = 185.75475, minor_axis_length = 89.16935, eccentricity = 0.87725, convex_area = 13302.00000, extent = 0.67500, type = O + area = 13415.00000, perimeter = 470.35501, major_axis_length = 197.02994, minor_axis_length = 87.65263, eccentricity = 0.89560, convex_area = 13629.00000, extent = 0.58225, type = C + area = 14686.00000, perimeter = 503.69000, major_axis_length = 212.25868, minor_axis_length = 89.78369, eccentricity = 0.90613, convex_area = 15003.00000, extent = 0.55215, type = C + area = 9853.00000, perimeter = 395.50101, major_axis_length = 159.91612, minor_axis_length = 80.05779, eccentricity = 0.86567, convex_area = 10102.00000, extent = 0.60197, type = O + area = 10360.00000, perimeter = 411.23999, major_axis_length = 169.40111, minor_axis_length = 78.57223, eccentricity = 0.88593, convex_area = 10538.00000, extent = 0.78485, type = O + area = 15252.00000, perimeter = 501.33200, major_axis_length = 207.52405, minor_axis_length = 94.27309, eccentricity = 0.89086, convex_area = 15595.00000, extent = 0.59171, type = C + area = 8965.00000, perimeter = 383.48199, major_axis_length = 156.28944, minor_axis_length = 74.67708, eccentricity = 0.87846, convex_area = 9317.00000, extent = 0.62029, type = O + area = 11976.00000, perimeter = 444.64401, major_axis_length = 188.98186, minor_axis_length = 81.36696, eccentricity = 0.90256, convex_area = 12149.00000, extent = 0.55801, type = O + area = 10863.00000, perimeter = 411.62201, major_axis_length = 168.27142, minor_axis_length = 83.16528, eccentricity = 0.86933, convex_area = 11057.00000, extent = 0.70283, type = O + area = 11611.00000, perimeter = 431.27301, major_axis_length = 178.51395, minor_axis_length = 84.11252, eccentricity = 0.88204, convex_area = 11775.00000, extent = 0.69191, type = O + area = 11790.00000, perimeter = 432.32700, major_axis_length = 181.34070, minor_axis_length = 83.65613, eccentricity = 0.88723, convex_area = 11990.00000, extent = 0.60462, type = O + area = 12892.00000, perimeter = 473.52701, major_axis_length = 199.93919, minor_axis_length = 83.23553, eccentricity = 0.90923, convex_area = 13193.00000, extent = 0.56455, type = C + area = 12437.00000, perimeter = 442.49899, major_axis_length = 183.57292, minor_axis_length = 86.80198, eccentricity = 0.88114, convex_area = 12645.00000, extent = 0.62674, type = O + area = 13607.00000, perimeter = 482.81799, major_axis_length = 202.84724, minor_axis_length = 86.15414, eccentricity = 0.90532, convex_area = 13901.00000, extent = 0.55684, type = C + area = 10647.00000, perimeter = 411.13300, major_axis_length = 170.06084, minor_axis_length = 80.81935, eccentricity = 0.87986, convex_area = 10829.00000, extent = 0.80659, type = O + area = 13066.00000, perimeter = 478.00201, major_axis_length = 207.51675, minor_axis_length = 80.51567, eccentricity = 0.92166, convex_area = 13348.00000, extent = 0.55780, type = C + area = 10903.00000, perimeter = 419.65399, major_axis_length = 169.51709, minor_axis_length = 83.22002, eccentricity = 0.87120, convex_area = 11232.00000, extent = 0.69784, type = O + area = 10638.00000, perimeter = 407.66299, major_axis_length = 166.20763, minor_axis_length = 82.36423, eccentricity = 0.86858, convex_area = 10912.00000, extent = 0.64945, type = O + area = 12434.00000, perimeter = 437.89700, major_axis_length = 183.22873, minor_axis_length = 87.01015, eccentricity = 0.88006, convex_area = 12605.00000, extent = 0.72501, type = O + area = 15105.00000, perimeter = 503.29199, major_axis_length = 215.58267, minor_axis_length = 89.79668, eccentricity = 0.90912, convex_area = 15327.00000, extent = 0.60048, type = C + area = 12081.00000, perimeter = 431.52100, major_axis_length = 173.52229, minor_axis_length = 89.55707, eccentricity = 0.85652, convex_area = 12315.00000, extent = 0.78043, type = O + area = 11585.00000, perimeter = 428.37299, major_axis_length = 171.56198, minor_axis_length = 87.44052, eccentricity = 0.86037, convex_area = 11939.00000, extent = 0.60890, type = O + area = 11961.00000, perimeter = 445.05301, major_axis_length = 182.44389, minor_axis_length = 85.08979, eccentricity = 0.88458, convex_area = 12370.00000, extent = 0.61225, type = O + area = 12743.00000, perimeter = 449.23001, major_axis_length = 180.94476, minor_axis_length = 90.80772, eccentricity = 0.86495, convex_area = 13044.00000, extent = 0.61937, type = O + area = 13215.00000, perimeter = 479.60999, major_axis_length = 207.88800, minor_axis_length = 81.67606, eccentricity = 0.91959, convex_area = 13462.00000, extent = 0.53667, type = C + area = 12259.00000, perimeter = 440.03000, major_axis_length = 177.31454, minor_axis_length = 89.53557, eccentricity = 0.86315, convex_area = 12533.00000, extent = 0.72414, type = O + area = 11447.00000, perimeter = 419.62000, major_axis_length = 163.92053, minor_axis_length = 91.27415, eccentricity = 0.83063, convex_area = 11831.00000, extent = 0.73298, type = O + area = 14559.00000, perimeter = 496.52399, major_axis_length = 213.39636, minor_axis_length = 87.13540, eccentricity = 0.91284, convex_area = 14765.00000, extent = 0.71082, type = C diff --git a/PartB/90Cross10Mut2El/run_9/regress.stt b/PartB/90Cross10Mut2El/run_9/regress.stt new file mode 100644 index 0000000..1cc55bb --- /dev/null +++ b/PartB/90Cross10Mut2El/run_9/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9578 0.9987 0.0000 17.898 3.440 8 3 43 6 0.9578 0.9987 0.0000 17.898 3.440 8 3 43 6 +1 0 0.9915 0.9987 0.0000 16.602 3.590 8 3 26 7 0.9747 0.9987 0.0000 17.250 3.515 8 3 43 6 +2 0 0.9876 0.9987 0.0000 16.932 3.798 28 6 7 3 0.9790 0.9987 0.0000 17.144 3.609 28 6 43 6 +3 0 0.9912 0.9987 0.0000 16.372 3.831 28 6 16 5 0.9820 0.9987 0.0000 16.951 3.665 28 6 43 6 +4 0 0.9924 0.9987 0.0000 16.449 3.926 28 6 36 9 0.9841 0.9987 0.0000 16.851 3.717 28 6 43 6 +5 0 0.9908 0.9987 0.0000 16.262 4.024 28 6 75 9 0.9852 0.9987 0.0000 16.752 3.768 28 6 43 6 +6 0 0.9940 0.9987 0.0000 15.882 4.085 28 6 32 10 0.9865 0.9987 0.0000 16.628 3.813 28 6 43 6 +7 0 0.9934 0.9987 0.0000 15.537 4.106 28 6 59 9 0.9873 0.9987 0.0000 16.492 3.850 28 6 43 6 +8 0 0.9940 0.9987 0.0000 15.379 4.164 28 6 13 6 0.9881 0.9987 0.0000 16.368 3.885 28 6 43 6 +9 0 0.9948 0.9987 0.0000 14.474 4.075 28 6 28 6 0.9887 0.9987 0.0000 16.179 3.904 28 6 43 6 +10 0 0.9944 0.9987 0.0000 14.099 4.085 52 8 24 7 0.9892 0.9987 0.0000 15.990 3.920 52 8 43 6 +11 0 0.9946 0.9988 0.0000 13.892 4.091 29 7 22 8 0.9897 0.9988 0.0000 15.815 3.935 29 7 43 6 +12 0 0.9952 0.9988 0.0000 13.834 4.149 29 7 38 9 0.9901 0.9988 0.0000 15.662 3.951 29 7 43 6 +13 0 0.9948 0.9988 0.0000 13.781 4.196 29 7 21 9 0.9904 0.9988 0.0000 15.528 3.969 29 7 43 6 +14 0 0.9946 0.9988 0.0000 13.507 4.192 29 7 25 7 0.9907 0.9988 0.0000 15.393 3.983 29 7 43 6 +15 0 0.9952 0.9988 0.0000 13.105 4.132 29 7 22 9 0.9910 0.9988 0.0000 15.250 3.993 29 7 43 6 +16 0 0.9946 0.9988 0.0000 13.099 4.145 29 7 17 8 0.9912 0.9988 0.0000 15.124 4.002 29 7 43 6 +17 0 0.9954 0.9988 0.0000 12.674 4.111 29 7 47 9 0.9914 0.9988 0.0000 14.988 4.008 29 7 43 6 +18 0 0.9962 0.9988 0.0000 12.503 4.104 29 7 39 12 0.9917 0.9988 0.0000 14.857 4.013 29 7 43 6 +19 0 0.9944 0.9988 0.0000 12.425 4.073 29 7 33 10 0.9918 0.9988 0.0000 14.735 4.016 29 7 43 6 +20 0 0.9954 0.9988 0.0000 12.437 4.097 29 7 49 15 0.9920 0.9988 0.0000 14.626 4.020 29 7 43 6 +21 0 0.9965 0.9988 0.0000 12.417 4.145 29 7 43 7 0.9922 0.9988 0.0000 14.525 4.025 29 7 43 6 +22 0 0.9964 0.9988 0.0000 12.133 4.122 29 7 6 3 0.9924 0.9988 0.0000 14.421 4.030 29 7 43 6 +23 0 0.9966 0.9988 0.0000 11.629 4.017 29 7 15 6 0.9926 0.9988 0.0000 14.305 4.029 29 7 43 6 +24 0 0.9960 0.9988 0.0000 11.889 4.100 29 7 21 8 0.9927 0.9988 0.0000 14.208 4.032 29 7 43 6 +25 0 0.9964 0.9988 0.0000 11.804 4.109 29 7 28 9 0.9928 0.9988 0.0000 14.116 4.035 29 7 43 6 +26 0 0.9962 0.9988 0.0000 11.759 4.113 29 7 46 11 0.9930 0.9988 0.0000 14.029 4.038 29 7 43 6 +27 0 0.9968 0.9988 0.0000 11.647 4.066 29 7 22 6 0.9931 0.9988 0.0000 13.944 4.039 29 7 43 6 +28 0 0.9964 0.9988 0.0000 11.346 4.020 29 7 24 7 0.9932 0.9988 0.0000 13.854 4.038 29 7 43 6 +29 0 0.9966 0.9988 0.0000 11.533 4.090 29 7 88 16 0.9933 0.9988 0.0000 13.777 4.040 29 7 43 6 +30 0 0.9962 0.9988 0.0000 11.074 3.980 29 7 15 6 0.9934 0.9988 0.0000 13.689 4.038 29 7 43 6 +31 0 0.9954 0.9988 0.0000 10.980 3.961 29 7 29 8 0.9935 0.9988 0.0000 13.605 4.036 29 7 43 6 +32 0 0.9954 0.9988 0.0000 10.819 3.913 29 7 40 16 0.9935 0.9988 0.0000 13.520 4.032 29 7 43 6 +33 0 0.9962 0.9989 0.0000 10.823 3.893 12 5 23 12 0.9936 0.9989 0.0000 13.441 4.028 12 5 43 6 +34 0 0.9967 0.9989 0.0000 10.801 3.907 12 5 39 9 0.9937 0.9989 0.0000 13.366 4.024 12 5 43 6 +35 0 0.9953 0.9989 0.0000 10.774 3.919 12 5 35 7 0.9937 0.9989 0.0000 13.294 4.021 12 5 43 6 +36 0 0.9969 0.9989 0.0000 10.619 3.896 12 5 18 7 0.9938 0.9989 0.0000 13.221 4.018 12 5 43 6 +37 0 0.9972 0.9989 0.0000 10.689 3.928 12 5 13 7 0.9939 0.9989 0.0000 13.155 4.016 12 5 43 6 +38 0 0.9948 0.9989 0.0000 10.391 3.814 12 5 25 7 0.9939 0.9989 0.0000 13.084 4.010 12 5 43 6 +39 0 0.9970 0.9989 0.0000 10.217 3.805 12 5 14 7 0.9940 0.9989 0.0000 13.012 4.005 12 5 43 6 +40 0 0.9961 0.9989 0.0000 9.996 3.743 12 5 10 5 0.9941 0.9989 0.0000 12.939 3.999 12 5 43 6 +41 0 0.9964 0.9989 0.0000 10.039 3.772 12 5 51 11 0.9941 0.9989 0.0000 12.870 3.994 12 5 43 6 +42 0 0.9960 0.9989 0.0000 10.051 3.791 12 5 39 13 0.9942 0.9989 0.0000 12.804 3.989 12 5 43 6 +43 0 0.9952 0.9989 0.0000 9.875 3.755 12 5 26 12 0.9942 0.9989 0.0000 12.737 3.983 12 5 43 6 +44 0 0.9960 0.9989 0.0000 9.722 3.712 12 5 9 3 0.9942 0.9989 0.0000 12.670 3.977 12 5 43 6 +45 0 0.9966 0.9989 0.0000 9.735 3.724 12 5 27 6 0.9943 0.9989 0.0000 12.607 3.972 12 5 43 6 +46 0 0.9962 0.9989 0.0000 9.736 3.738 12 5 32 8 0.9943 0.9989 0.0000 12.546 3.967 12 5 43 6 +47 0 0.9964 0.9989 0.0000 10.017 3.795 12 5 12 5 0.9944 0.9989 0.0000 12.493 3.963 12 5 43 6 +48 0 0.9958 0.9989 0.0000 9.914 3.776 12 5 15 5 0.9944 0.9989 0.0000 12.440 3.960 12 5 43 6 +49 0 0.9964 0.9989 0.0000 9.772 3.743 12 5 28 6 0.9944 0.9989 0.0000 12.387 3.955 12 5 43 6 +50 0 0.9954 0.9989 0.0000 9.694 3.745 12 5 56 11 0.9944 0.9989 0.0000 12.334 3.951 12 5 43 6 +51 0 0.9958 0.9989 0.0000 9.744 3.756 12 5 26 10 0.9945 0.9989 0.0000 12.284 3.947 12 5 43 6 diff --git a/PartB/90Cross10Mut2El/run_9/regress.sys b/PartB/90Cross10Mut2El/run_9/regress.sys new file mode 100644 index 0000000..b3af9b1 --- /dev/null +++ b/PartB/90Cross10Mut2El/run_9/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 468. +creating initial population(s): + 7330 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 81409452 + freed: 81361452 + not freed: 48000 + max allocated: 2507958 + malloc'ed blocks: 844488 + realloc'ed blocks: 7 + free'ed blocks: 844482 + +------- time ------- + overall: 18s wall + evaluation: 15s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 8070 + freed: 8070 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross90Mut2El/aggregated.tsv b/PartB/90Cross90Mut2El/aggregated.tsv new file mode 100644 index 0000000..a5aa5cf --- /dev/null +++ b/PartB/90Cross90Mut2El/aggregated.tsv @@ -0,0 +1,55 @@ +Runs Generation Count Mean: 51 +Runs Generation Count Mode: 51 occurred (10) time(s) +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.95879 0.99865 0 18.332 3.4676 34 4 44 5 0.95879 0.99865 0 18.332 3.4676 34 4 44 5 +1 0 0.99069 0.99872 0 16.2936 3.5245 23 4 40 6 0.97475 0.99872 0 17.3127 3.4962 23 4 44 5 +2 0 0.99159 0.99877 0 15.6485 3.5791 31 5 45 6 0.98037 0.99877 0 16.7578 3.5238 31 5 44 5 +3 0 0.99245 0.99877 0 14.9698 3.5995 31 5 39 6 0.98338 0.99877 0 16.311 3.5427 31 5 44 5 +4 0 0.99336 0.99877 0 14.1793 3.5815 27 5 47 7 0.98538 0.99877 0 15.8845 3.5504 27 5 44 5 +5 0 0.99412 0.99879 0 13.5692 3.5507 28 5 44 7 0.98685 0.99879 0 15.4987 3.5505 28 5 44 5 +6 0 0.99405 0.99879 0 12.9283 3.5068 26 5 32 7 0.98789 0.99879 0 15.1314 3.5441 26 5 44 5 +7 0 0.99492 0.99881 0 12.2441 3.4185 29 5 32 7 0.98876 0.99881 0 14.7706 3.5286 29 5 44 5 +8 0 0.99514 0.99882 0 11.6901 3.3629 27 5 46 9 0.98947 0.99882 0 14.4283 3.5101 27 5 44 5 +9 0 0.99545 0.99882 0 11.0893 3.2931 27 5 37 7 0.99006 0.99882 0 14.0945 3.4882 27 5 44 5 +10 0 0.99552 0.99882 0 10.6196 3.2382 26 5 38 7 0.99057 0.99882 0 13.7785 3.4655 26 5 44 5 +11 0 0.99583 0.99882 0 10.218 3.1889 26 5 36 7 0.99101 0.99882 0 13.4817 3.4426 26 5 44 5 +12 0 0.99591 0.99883 0 9.7589 3.1165 23 5 38 8 0.99137 0.99883 0 13.1954 3.4176 23 5 44 5 +13 0 0.99598 0.99883 0 9.3105 3.0395 22 4 42 8 0.99172 0.99883 0 12.918 3.3904 22 4 44 5 +14 0 0.99615 0.99883 0 8.9001 2.9651 22 4 30 7 0.992 0.99883 0 12.6501 3.3621 22 4 44 5 +15 0 0.99654 0.99883 0 8.6146 2.9117 22 4 28 7 0.99229 0.99883 0 12.3978 3.334 22 4 44 5 +16 0 0.99667 0.99885 0 8.3169 2.8504 23 5 22 6 0.99254 0.99885 0 12.1577 3.3054 23 5 44 5 +17 0 0.99689 0.99885 0 7.9414 2.7657 23 5 22 7 0.9928 0.99885 0 11.9236 3.2755 23 5 44 5 +18 0 0.99669 0.99885 0 7.5773 2.6766 23 5 23 6 0.99299 0.99885 0 11.6948 3.244 23 5 44 5 +19 0 0.99687 0.99885 0 7.3245 2.6186 23 5 23 6 0.9932 0.99885 0 11.4764 3.2127 23 5 44 5 +20 0 0.99673 0.99885 0 7.0455 2.546 22 5 26 5 0.99337 0.99885 0 11.2654 3.1811 22 5 44 5 +21 0 0.99709 0.99885 0 6.8329 2.4921 22 5 26 7 0.99354 0.99885 0 11.0637 3.1496 22 5 44 5 +22 0 0.99694 0.99885 0 6.6059 2.4327 22 5 31 8 0.99367 0.99885 0 10.8701 3.1184 22 5 44 5 +23 0 0.99719 0.99885 0 6.3729 2.3585 21 5 26 6 0.99385 0.99885 0 10.6824 3.0867 21 5 44 5 +24 0 0.9974 0.99886 0 6.1988 2.3146 20 5 22 5 0.99396 0.99886 0 10.5033 3.0561 20 5 44 5 +25 0 0.99713 0.99886 0.09973 6.0303 2.2631 20 5 16 5 0.99407 0.99886 0 10.3314 3.0254 20 5 44 5 +26 0 0.99695 0.99886 0 5.911 2.222 20 5 24 8 0.99421 0.99886 0 10.1676 2.9958 20 5 44 5 +27 0 0.99749 0.99886 0 5.7507 2.1702 20 5 34 7 0.99432 0.99886 0 10.0098 2.9662 20 5 44 5 +28 0 0.99733 0.99886 0.09976 5.5771 2.1152 20 5 21 5 0.99443 0.99886 0 9.8568 2.9368 20 5 44 5 +29 0 0.99753 0.99886 0 5.4336 2.07 23 6 19 6 0.99454 0.99886 0 9.7095 2.9081 23 6 44 5 +30 0 0.99725 0.99886 0 5.3063 2.0303 23 6 12 4 0.9946 0.99886 0 9.5676 2.8799 23 6 44 5 +31 0 0.99733 0.99886 0 5.152 1.9746 21 6 20 5 0.9947 0.99886 0 9.4295 2.8516 21 6 44 5 +32 0 0.99729 0.99886 0 5.081 1.9545 21 6 16 5 0.99479 0.99886 0 9.2977 2.8242 21 6 44 5 +33 0 0.99747 0.99886 0.0997 4.9871 1.9268 21 6 15 5 0.99486 0.99886 0 9.1711 2.7978 21 6 44 5 +34 0 0.99747 0.99886 0.09976 4.9348 1.915 20 6 15 5 0.99492 0.99886 0 9.0498 2.7726 20 6 44 5 +35 0 0.99739 0.99886 0 4.8589 1.8853 20 6 15 5 0.99501 0.99886 0 8.9334 2.748 20 6 44 5 +36 0 0.99757 0.99886 0.09969 4.7722 1.8559 20 6 21 6 0.99509 0.99886 0 8.8208 2.7238 20 6 44 5 +37 0 0.99763 0.99886 0 4.7422 1.8403 20 6 15 5 0.99513 0.99886 0 8.7138 2.7006 20 6 44 5 +38 0 0.99749 0.99886 0 4.6865 1.8178 20 6 15 4 0.99521 0.99886 0 8.6103 2.678 20 6 44 5 +39 0 0.99749 0.99886 0 4.6409 1.8052 19 6 15 4 0.99526 0.99886 0 8.5111 2.6562 19 6 44 5 +40 0 0.99749 0.99886 0.09973 4.6356 1.8059 19 6 13 4 0.99532 0.99886 0 8.4168 2.6356 19 6 44 5 +41 0 0.99743 0.99886 0 4.6393 1.8092 19 6 12 4 0.99536 0.99886 0 8.3267 2.6156 19 6 44 5 +42 0 0.99749 0.99886 0.09951 4.6151 1.8025 19 6 14 5 0.99541 0.99886 0 8.2404 2.5967 19 6 44 5 +43 0 0.99745 0.99886 0.19944 4.6163 1.8091 19 6 14 4 0.99546 0.99886 0 8.158 2.5789 19 6 44 5 +44 0 0.99765 0.99886 0.1992 4.5974 1.802 19 6 14 4 0.99551 0.99886 0 8.079 2.5616 19 6 44 5 +45 0 0.99767 0.99886 0.09976 4.5949 1.7984 19 6 19 6 0.99556 0.99886 0 8.0031 2.5452 19 6 44 5 +46 0 0.99755 0.99886 0.19939 4.5526 1.7793 19 6 10 4 0.9956 0.99886 0 7.9298 2.5289 19 6 44 5 +47 0 0.99763 0.99886 0 4.5168 1.7635 19 6 10 4 0.99563 0.99886 0 7.8585 2.5128 19 6 44 5 +48 0 0.99751 0.99886 0.19914 4.4923 1.7517 19 6 13 4 0.99568 0.99886 0 7.7898 2.4974 19 6 44 5 +49 0 0.99747 0.99886 0.09962 4.497 1.7563 19 6 14 5 0.9957 0.99886 0 7.7241 2.4824 19 6 44 5 +50 0 0.99731 0.99886 0 4.4765 1.7423 19 6 14 4 0.99577 0.99886 0 7.6604 2.468 19 6 44 5 +51 0 0.99751 0.99886 0 4.4765 1.7458 19 6 12 5 0.99577 0.99886 0 7.599 2.454 19 6 44 5 diff --git a/PartB/90Cross90Mut2El/aggregated_fn.tsv b/PartB/90Cross90Mut2El/aggregated_fn.tsv new file mode 100644 index 0000000..e5c2e1c --- /dev/null +++ b/PartB/90Cross90Mut2El/aggregated_fn.tsv @@ -0,0 +1,30 @@ +Run(RV)/(PV) CC CO OO OC +0 999 123 1568 120 +1 673 481 1635 21 +2 1072 64 1189 485 +3 1051 63 1362 334 +4 1024 89 1538 159 +5 960 183 1404 263 +6 1102 27 1220 461 +7 1016 112 1580 102 +8 994 130 1573 113 +9 1039 89 1570 112 + +Best Result: + CC CO OO OC + 999 123 1568 120 +Fitness: 0.998902 +Total results: + CC CO OO OC + 9930 1361 14639 2170 + +Averaged results: + CC CO OO OC + 993 136 1463 217 + + +Average Hits Per Run: 2456 +Average Tests Per Run: 2810 +Average % Correct Per Run: 0.874021 +Total Hits(All runs combined): 24569 +Total Tests(All runs combined): 28100 diff --git a/PartB/90Cross90Mut2El/aggregated_runs.tsv b/PartB/90Cross90Mut2El/aggregated_runs.tsv new file mode 100644 index 0000000..e56c0fe --- /dev/null +++ b/PartB/90Cross90Mut2El/aggregated_runs.tsv @@ -0,0 +1,574 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +=AVERAGE(a55, a56, a57, a58, a59, a60, a61, a62, a63, a64) =AVERAGE(b55, b56, b57, b58, b59, b60, b61, b62, b63, b64) =AVERAGE(c55, c56, c57, c58, c59, c60, c61, c62, c63, c64) =AVERAGE(d55, d56, d57, d58, d59, d60, d61, d62, d63, d64) =AVERAGE(e55, e56, e57, e58, e59, e60, e61, e62, e63, e64) =AVERAGE(f55, f56, f57, f58, f59, f60, f61, f62, f63, f64) =AVERAGE(g55, g56, g57, g58, g59, g60, g61, g62, g63, g64) =AVERAGE(h55, h56, h57, h58, h59, h60, h61, h62, h63, h64) =AVERAGE(i55, i56, i57, i58, i59, i60, i61, i62, i63, i64) =AVERAGE(j55, j56, j57, j58, j59, j60, j61, j62, j63, j64) =AVERAGE(k55, k56, k57, k58, k59, k60, k61, k62, k63, k64) =AVERAGE(l55, l56, l57, l58, l59, l60, l61, l62, l63, l64) =AVERAGE(m55, m56, m57, m58, m59, m60, m61, m62, m63, m64) =AVERAGE(n55, n56, n57, n58, n59, n60, n61, n62, n63, n64) =AVERAGE(o55, o56, o57, o58, o59, o60, o61, o62, o63, o64) =AVERAGE(p55, p56, p57, p58, p59, p60, p61, p62, p63, p64) =AVERAGE(q55, q56, q57, q58, q59, q60, q61, q62, q63, q64) =AVERAGE(r55, r56, r57, r58, r59, r60, r61, r62, r63, r64) =AVERAGE(s55, s56, s57, s58, s59, s60, s61, s62, s63, s64) =AVERAGE(t55, t56, t57, t58, t59, t60, t61, t62, t63, t64) =STDEV.P(a55, a56, a57, a58, a59, a60, a61, a62, a63, a64) =STDEV.P(b55, b56, b57, b58, b59, b60, b61, b62, b63, b64) =STDEV.P(c55, c56, c57, c58, c59, c60, c61, c62, c63, c64) =STDEV.P(d55, d56, d57, d58, d59, d60, d61, d62, d63, d64) =STDEV.P(e55, e56, e57, e58, e59, e60, e61, e62, e63, e64) =STDEV.P(f55, f56, f57, f58, f59, f60, f61, f62, f63, f64) =STDEV.P(g55, g56, g57, g58, g59, g60, g61, g62, g63, g64) =STDEV.P(h55, h56, h57, h58, h59, h60, h61, h62, h63, h64) =STDEV.P(i55, i56, i57, i58, i59, i60, i61, i62, i63, i64) =STDEV.P(j55, j56, j57, j58, j59, j60, j61, j62, j63, j64) =STDEV.P(k55, k56, k57, k58, k59, k60, k61, k62, k63, k64) =STDEV.P(l55, l56, l57, l58, l59, l60, l61, l62, l63, l64) =STDEV.P(m55, m56, m57, m58, m59, m60, m61, m62, m63, m64) =STDEV.P(n55, n56, n57, n58, n59, n60, n61, n62, n63, n64) =STDEV.P(o55, o56, o57, o58, o59, o60, o61, o62, o63, o64) =STDEV.P(p55, p56, p57, p58, p59, p60, p61, p62, p63, p64) =STDEV.P(q55, q56, q57, q58, q59, q60, q61, q62, q63, q64) =STDEV.P(r55, r56, r57, r58, r59, r60, r61, r62, r63, r64) =STDEV.P(s55, s56, s57, s58, s59, s60, s61, s62, s63, s64) =STDEV.P(t55, t56, t57, t58, t59, t60, t61, t62, t63, t64) =STDEV.P(a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22, a23, a24, a25, a26, a27, a28, a29, a30, a31, a32, a33, a34, a35, a36, a37, a38, a39, a40, a41, a42, a43, a44, a45, a46, a47, a48, a49, a50, a51, a52, a53) =STDEV.P(b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16, b17, b18, b19, b20, b21, b22, b23, b24, b25, b26, b27, b28, b29, b30, b31, b32, b33, b34, b35, b36, b37, b38, b39, b40, b41, b42, b43, b44, b45, b46, b47, b48, b49, b50, b51, b52, b53) =STDEV.P(c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29, c30, c31, c32, c33, c34, c35, c36, c37, c38, c39, c40, c41, c42, c43, c44, c45, c46, c47, c48, c49, c50, c51, c52, c53) =STDEV.P(d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, d16, d17, d18, d19, d20, d21, d22, d23, d24, d25, d26, d27, d28, d29, d30, d31, d32, d33, d34, d35, d36, d37, d38, d39, d40, d41, d42, d43, d44, d45, d46, d47, d48, d49, d50, d51, d52, d53) =STDEV.P(e2, e3, e4, e5, e6, e7, e8, e9, e10, e11, e12, e13, e14, e15, e16, e17, e18, e19, e20, e21, e22, e23, e24, e25, e26, e27, e28, e29, e30, e31, e32, e33, e34, e35, e36, e37, e38, e39, e40, e41, e42, e43, e44, e45, e46, e47, e48, e49, e50, e51, e52, e53) =STDEV.P(f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f23, f24, f25, f26, f27, f28, f29, f30, f31, f32, f33, f34, f35, f36, f37, f38, f39, f40, f41, f42, f43, f44, f45, f46, f47, f48, f49, f50, f51, f52, f53) =STDEV.P(g2, g3, g4, g5, g6, g7, g8, g9, g10, g11, g12, g13, g14, g15, g16, g17, g18, g19, g20, g21, g22, g23, g24, g25, g26, g27, g28, g29, g30, g31, g32, g33, g34, g35, g36, g37, g38, g39, g40, g41, g42, g43, g44, g45, g46, g47, g48, g49, g50, g51, g52, g53) =STDEV.P(h2, h3, h4, h5, h6, h7, h8, h9, h10, h11, h12, h13, h14, h15, h16, h17, h18, h19, h20, h21, h22, h23, h24, h25, h26, h27, h28, h29, h30, h31, h32, h33, h34, h35, h36, h37, h38, h39, h40, h41, h42, h43, h44, h45, h46, h47, h48, h49, h50, h51, h52, h53) =STDEV.P(i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13, i14, i15, i16, i17, i18, i19, i20, i21, i22, i23, i24, i25, i26, i27, i28, i29, i30, i31, i32, i33, i34, i35, i36, i37, i38, i39, i40, i41, i42, i43, i44, i45, i46, i47, i48, i49, i50, i51, i52, i53) =STDEV.P(j2, j3, j4, j5, j6, j7, j8, j9, j10, j11, j12, j13, j14, j15, j16, j17, j18, j19, j20, j21, j22, j23, j24, j25, j26, j27, j28, j29, j30, j31, j32, j33, j34, j35, j36, j37, j38, j39, j40, j41, j42, j43, j44, j45, j46, j47, j48, j49, j50, j51, j52, j53) =STDEV.P(k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12, k13, k14, k15, k16, k17, k18, k19, k20, k21, k22, k23, k24, k25, k26, k27, k28, k29, k30, k31, k32, k33, k34, k35, k36, k37, k38, k39, k40, k41, k42, k43, k44, k45, k46, k47, k48, k49, k50, k51, k52, k53) =STDEV.P(l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12, l13, l14, l15, l16, l17, l18, l19, l20, l21, l22, l23, l24, l25, l26, l27, l28, l29, l30, l31, l32, l33, l34, l35, l36, l37, l38, l39, l40, l41, l42, l43, l44, l45, l46, l47, l48, l49, l50, l51, l52, l53) =STDEV.P(m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, m16, m17, m18, m19, m20, m21, m22, m23, m24, m25, m26, m27, m28, m29, m30, m31, m32, m33, m34, m35, m36, m37, m38, m39, m40, m41, m42, m43, m44, m45, m46, m47, m48, m49, m50, m51, m52, m53) =STDEV.P(n2, n3, n4, n5, n6, n7, n8, n9, n10, n11, n12, n13, n14, n15, n16, n17, n18, n19, n20, n21, n22, n23, n24, n25, n26, n27, n28, n29, n30, n31, n32, n33, n34, n35, n36, n37, n38, n39, n40, n41, n42, n43, n44, n45, n46, n47, n48, n49, n50, n51, n52, n53) =STDEV.P(o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12, o13, o14, o15, o16, o17, o18, o19, o20, o21, o22, o23, o24, o25, o26, o27, o28, o29, o30, o31, o32, o33, o34, o35, o36, o37, o38, o39, o40, o41, o42, o43, o44, o45, o46, o47, o48, o49, o50, o51, o52, o53) =STDEV.P(p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, p50, p51, p52, p53) =STDEV.P(q2, q3, q4, q5, q6, q7, q8, q9, q10, q11, q12, q13, q14, q15, q16, q17, q18, q19, q20, q21, q22, q23, q24, q25, q26, q27, q28, q29, q30, q31, q32, q33, q34, q35, q36, q37, q38, q39, q40, q41, q42, q43, q44, q45, q46, q47, q48, q49, q50, q51, q52, q53) =STDEV.P(r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r34, r35, r36, r37, r38, r39, r40, r41, r42, r43, r44, r45, r46, r47, r48, r49, r50, r51, r52, r53) =STDEV.P(s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15, s16, s17, s18, s19, s20, s21, s22, s23, s24, s25, s26, s27, s28, s29, s30, s31, s32, s33, s34, s35, s36, s37, s38, s39, s40, s41, s42, s43, s44, s45, s46, s47, s48, s49, s50, s51, s52, s53) =STDEV.P(t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t21, t22, t23, t24, t25, t26, t27, t28, t29, t30, t31, t32, t33, t34, t35, t36, t37, t38, t39, t40, t41, t42, t43, t44, t45, t46, t47, t48, t49, t50, t51, t52, t53) +=AVERAGE(a65, a66, a67, a68, a69, a70, a71, a72, a73, a74) =AVERAGE(b65, b66, b67, b68, b69, b70, b71, b72, b73, b74) =AVERAGE(c65, c66, c67, c68, c69, c70, c71, c72, c73, c74) =AVERAGE(d65, d66, d67, d68, d69, d70, d71, d72, d73, d74) =AVERAGE(e65, e66, e67, e68, e69, e70, e71, e72, e73, e74) =AVERAGE(f65, f66, f67, f68, f69, f70, f71, f72, f73, f74) =AVERAGE(g65, g66, g67, g68, g69, g70, g71, g72, g73, g74) =AVERAGE(h65, h66, h67, h68, h69, h70, h71, h72, h73, h74) =AVERAGE(i65, i66, i67, i68, i69, i70, i71, i72, i73, i74) =AVERAGE(j65, j66, j67, j68, j69, j70, j71, j72, j73, j74) =AVERAGE(k65, k66, k67, k68, k69, k70, k71, k72, k73, k74) =AVERAGE(l65, l66, l67, l68, l69, l70, l71, l72, l73, l74) =AVERAGE(m65, m66, m67, m68, m69, m70, m71, m72, m73, m74) =AVERAGE(n65, n66, n67, n68, n69, n70, n71, n72, n73, n74) =AVERAGE(o65, o66, o67, o68, o69, o70, o71, o72, o73, o74) =AVERAGE(p65, p66, p67, p68, p69, p70, p71, p72, p73, p74) =AVERAGE(q65, q66, q67, q68, q69, q70, q71, q72, q73, q74) =AVERAGE(r65, r66, r67, r68, r69, r70, r71, r72, r73, r74) =AVERAGE(s65, s66, s67, s68, s69, s70, s71, s72, s73, s74) =AVERAGE(t65, t66, t67, t68, t69, t70, t71, t72, t73, t74) =STDEV.P(a65, a66, a67, a68, a69, a70, a71, a72, a73, a74) =STDEV.P(b65, b66, b67, b68, b69, b70, b71, b72, b73, b74) =STDEV.P(c65, c66, c67, c68, c69, c70, c71, c72, c73, c74) =STDEV.P(d65, d66, d67, d68, d69, d70, d71, d72, d73, d74) =STDEV.P(e65, e66, e67, e68, e69, e70, e71, e72, e73, e74) =STDEV.P(f65, f66, f67, f68, f69, f70, f71, f72, f73, f74) =STDEV.P(g65, g66, g67, g68, g69, g70, g71, g72, g73, g74) =STDEV.P(h65, h66, h67, h68, h69, h70, h71, h72, h73, h74) =STDEV.P(i65, i66, i67, i68, i69, i70, i71, i72, i73, i74) =STDEV.P(j65, j66, j67, j68, j69, j70, j71, j72, j73, j74) =STDEV.P(k65, k66, k67, k68, k69, k70, k71, k72, k73, k74) =STDEV.P(l65, l66, l67, l68, l69, l70, l71, l72, l73, l74) =STDEV.P(m65, m66, m67, m68, m69, m70, m71, m72, m73, m74) =STDEV.P(n65, n66, n67, n68, n69, n70, n71, n72, n73, n74) =STDEV.P(o65, o66, o67, o68, o69, o70, o71, o72, o73, o74) =STDEV.P(p65, p66, p67, p68, p69, p70, p71, p72, p73, p74) =STDEV.P(q65, q66, q67, q68, q69, q70, q71, q72, q73, q74) =STDEV.P(r65, r66, r67, r68, r69, r70, r71, r72, r73, r74) =STDEV.P(s65, s66, s67, s68, s69, s70, s71, s72, s73, s74) =STDEV.P(t65, t66, t67, t68, t69, t70, t71, t72, t73, t74) +=AVERAGE(a75, a76, a77, a78, a79, a80, a81, a82, a83, a84) =AVERAGE(b75, b76, b77, b78, b79, b80, b81, b82, b83, b84) =AVERAGE(c75, c76, c77, c78, c79, c80, c81, c82, c83, c84) =AVERAGE(d75, d76, d77, d78, d79, d80, d81, d82, d83, d84) =AVERAGE(e75, e76, e77, e78, e79, e80, e81, e82, e83, e84) =AVERAGE(f75, f76, f77, f78, f79, f80, f81, f82, f83, f84) =AVERAGE(g75, g76, g77, g78, g79, g80, g81, g82, g83, g84) =AVERAGE(h75, h76, h77, h78, h79, h80, h81, h82, h83, h84) =AVERAGE(i75, i76, i77, i78, i79, i80, i81, i82, i83, i84) =AVERAGE(j75, j76, j77, j78, j79, j80, j81, j82, j83, j84) =AVERAGE(k75, k76, k77, k78, k79, k80, k81, k82, k83, k84) =AVERAGE(l75, l76, l77, l78, l79, l80, l81, l82, l83, l84) =AVERAGE(m75, m76, m77, m78, m79, m80, m81, m82, m83, m84) =AVERAGE(n75, n76, n77, n78, n79, n80, n81, n82, n83, n84) =AVERAGE(o75, o76, o77, o78, o79, o80, o81, o82, o83, o84) =AVERAGE(p75, p76, p77, p78, p79, p80, p81, p82, p83, p84) =AVERAGE(q75, q76, q77, q78, q79, q80, q81, q82, q83, q84) =AVERAGE(r75, r76, r77, r78, r79, r80, r81, r82, r83, r84) =AVERAGE(s75, s76, s77, s78, s79, s80, s81, s82, s83, s84) =AVERAGE(t75, t76, t77, t78, t79, t80, t81, t82, t83, t84) =STDEV.P(a75, a76, a77, a78, a79, a80, a81, a82, a83, a84) =STDEV.P(b75, b76, b77, b78, b79, b80, b81, b82, b83, b84) =STDEV.P(c75, c76, c77, c78, c79, c80, c81, c82, c83, c84) =STDEV.P(d75, d76, d77, d78, d79, d80, d81, d82, d83, d84) =STDEV.P(e75, e76, e77, e78, e79, e80, e81, e82, e83, e84) =STDEV.P(f75, f76, f77, f78, f79, f80, f81, f82, f83, f84) =STDEV.P(g75, g76, g77, g78, g79, g80, g81, g82, g83, g84) =STDEV.P(h75, h76, h77, h78, h79, h80, h81, h82, h83, h84) =STDEV.P(i75, i76, i77, i78, i79, i80, i81, i82, i83, i84) =STDEV.P(j75, j76, j77, j78, j79, j80, j81, j82, j83, j84) =STDEV.P(k75, k76, k77, k78, k79, k80, k81, k82, k83, k84) =STDEV.P(l75, l76, l77, l78, l79, l80, l81, l82, l83, l84) =STDEV.P(m75, m76, m77, m78, m79, m80, m81, m82, m83, m84) =STDEV.P(n75, n76, n77, n78, n79, n80, n81, n82, n83, n84) =STDEV.P(o75, o76, o77, o78, o79, o80, o81, o82, o83, o84) =STDEV.P(p75, p76, p77, p78, p79, p80, p81, p82, p83, p84) =STDEV.P(q75, q76, q77, q78, q79, q80, q81, q82, q83, q84) =STDEV.P(r75, r76, r77, r78, r79, r80, r81, r82, r83, r84) =STDEV.P(s75, s76, s77, s78, s79, s80, s81, s82, s83, s84) =STDEV.P(t75, t76, t77, t78, t79, t80, t81, t82, t83, t84) +=AVERAGE(a85, a86, a87, a88, a89, a90, a91, a92, a93, a94) =AVERAGE(b85, b86, b87, b88, b89, b90, b91, b92, b93, b94) =AVERAGE(c85, c86, c87, c88, c89, c90, c91, c92, c93, c94) =AVERAGE(d85, d86, d87, d88, d89, d90, d91, d92, d93, d94) =AVERAGE(e85, e86, e87, e88, e89, e90, e91, e92, e93, e94) =AVERAGE(f85, f86, f87, f88, f89, f90, f91, f92, f93, f94) =AVERAGE(g85, g86, g87, g88, g89, g90, g91, g92, g93, g94) =AVERAGE(h85, h86, h87, h88, h89, h90, h91, h92, h93, h94) =AVERAGE(i85, i86, i87, i88, i89, i90, i91, i92, i93, i94) =AVERAGE(j85, j86, j87, j88, j89, j90, j91, j92, j93, j94) =AVERAGE(k85, k86, k87, k88, k89, k90, k91, k92, k93, k94) =AVERAGE(l85, l86, l87, l88, l89, l90, l91, l92, l93, l94) =AVERAGE(m85, m86, m87, m88, m89, m90, m91, m92, m93, m94) =AVERAGE(n85, n86, n87, n88, n89, n90, n91, n92, n93, n94) =AVERAGE(o85, o86, o87, o88, o89, o90, o91, o92, o93, o94) =AVERAGE(p85, p86, p87, p88, p89, p90, p91, p92, p93, p94) =AVERAGE(q85, q86, q87, q88, q89, q90, q91, q92, q93, q94) =AVERAGE(r85, r86, r87, r88, r89, r90, r91, r92, r93, r94) =AVERAGE(s85, s86, s87, s88, s89, s90, s91, s92, s93, s94) =AVERAGE(t85, t86, t87, t88, t89, t90, t91, t92, t93, t94) =STDEV.P(a85, a86, a87, a88, a89, a90, a91, a92, a93, a94) =STDEV.P(b85, b86, b87, b88, b89, b90, b91, b92, b93, b94) =STDEV.P(c85, c86, c87, c88, c89, c90, c91, c92, c93, c94) =STDEV.P(d85, d86, d87, d88, d89, d90, d91, d92, d93, d94) =STDEV.P(e85, e86, e87, e88, e89, e90, e91, e92, e93, e94) =STDEV.P(f85, f86, f87, f88, f89, f90, f91, f92, f93, f94) =STDEV.P(g85, g86, g87, g88, g89, g90, g91, g92, g93, g94) =STDEV.P(h85, h86, h87, h88, h89, h90, h91, h92, h93, h94) =STDEV.P(i85, i86, i87, i88, i89, i90, i91, i92, i93, i94) =STDEV.P(j85, j86, j87, j88, j89, j90, j91, j92, j93, j94) =STDEV.P(k85, k86, k87, k88, k89, k90, k91, k92, k93, k94) =STDEV.P(l85, l86, l87, l88, l89, l90, l91, l92, l93, l94) =STDEV.P(m85, m86, m87, m88, m89, m90, m91, m92, m93, m94) =STDEV.P(n85, n86, n87, n88, n89, n90, n91, n92, n93, n94) =STDEV.P(o85, o86, o87, o88, o89, o90, o91, o92, o93, o94) =STDEV.P(p85, p86, p87, p88, p89, p90, p91, p92, p93, p94) =STDEV.P(q85, q86, q87, q88, q89, q90, q91, q92, q93, q94) =STDEV.P(r85, r86, r87, r88, r89, r90, r91, r92, r93, r94) =STDEV.P(s85, s86, s87, s88, s89, s90, s91, s92, s93, s94) =STDEV.P(t85, t86, t87, t88, t89, t90, t91, t92, t93, t94) +=AVERAGE(a95, a96, a97, a98, a99, a100, a101, a102, a103, a104) =AVERAGE(b95, b96, b97, b98, b99, b100, b101, b102, b103, b104) =AVERAGE(c95, c96, c97, c98, c99, c100, c101, c102, c103, c104) =AVERAGE(d95, d96, d97, d98, d99, d100, d101, d102, d103, d104) =AVERAGE(e95, e96, e97, e98, e99, e100, e101, e102, e103, e104) =AVERAGE(f95, f96, f97, f98, f99, f100, f101, f102, f103, f104) =AVERAGE(g95, g96, g97, g98, g99, g100, g101, g102, g103, g104) =AVERAGE(h95, h96, h97, h98, h99, h100, h101, h102, h103, h104) =AVERAGE(i95, i96, i97, i98, i99, i100, i101, i102, i103, i104) =AVERAGE(j95, j96, j97, j98, j99, j100, j101, j102, j103, j104) =AVERAGE(k95, k96, k97, k98, k99, k100, k101, k102, k103, k104) =AVERAGE(l95, l96, l97, l98, l99, l100, l101, l102, l103, l104) =AVERAGE(m95, m96, m97, m98, m99, m100, m101, m102, m103, m104) =AVERAGE(n95, n96, n97, n98, n99, n100, n101, n102, n103, n104) =AVERAGE(o95, o96, o97, o98, o99, o100, o101, o102, o103, o104) =AVERAGE(p95, p96, p97, p98, p99, p100, p101, p102, p103, p104) =AVERAGE(q95, q96, q97, q98, q99, q100, q101, q102, q103, q104) =AVERAGE(r95, r96, r97, r98, r99, r100, r101, r102, r103, r104) =AVERAGE(s95, s96, s97, s98, s99, s100, s101, s102, s103, s104) =AVERAGE(t95, t96, t97, t98, t99, t100, t101, t102, t103, t104) =STDEV.P(a95, a96, a97, a98, a99, a100, a101, a102, a103, a104) =STDEV.P(b95, b96, b97, b98, b99, b100, b101, b102, b103, b104) =STDEV.P(c95, c96, c97, c98, c99, c100, c101, c102, c103, c104) =STDEV.P(d95, d96, d97, d98, d99, d100, d101, d102, d103, d104) =STDEV.P(e95, e96, e97, e98, e99, e100, e101, e102, e103, e104) =STDEV.P(f95, f96, f97, f98, f99, f100, f101, f102, f103, f104) =STDEV.P(g95, g96, g97, g98, g99, g100, g101, g102, g103, g104) =STDEV.P(h95, h96, h97, h98, h99, h100, h101, h102, h103, h104) =STDEV.P(i95, i96, i97, i98, i99, i100, i101, i102, i103, i104) =STDEV.P(j95, j96, j97, j98, j99, j100, j101, j102, j103, j104) =STDEV.P(k95, k96, k97, k98, k99, k100, k101, k102, k103, k104) =STDEV.P(l95, l96, l97, l98, l99, l100, l101, l102, l103, l104) =STDEV.P(m95, m96, m97, m98, m99, m100, m101, m102, m103, m104) =STDEV.P(n95, n96, n97, n98, n99, n100, n101, n102, n103, n104) =STDEV.P(o95, o96, o97, o98, o99, o100, o101, o102, o103, o104) =STDEV.P(p95, p96, p97, p98, p99, p100, p101, p102, p103, p104) =STDEV.P(q95, q96, q97, q98, q99, q100, q101, q102, q103, q104) =STDEV.P(r95, r96, r97, r98, r99, r100, r101, r102, r103, r104) =STDEV.P(s95, s96, s97, s98, s99, s100, s101, s102, s103, s104) =STDEV.P(t95, t96, t97, t98, t99, t100, t101, t102, t103, t104) +=AVERAGE(a105, a106, a107, a108, a109, a110, a111, a112, a113, a114) =AVERAGE(b105, b106, b107, b108, b109, b110, b111, b112, b113, b114) =AVERAGE(c105, c106, c107, c108, c109, c110, c111, c112, c113, c114) =AVERAGE(d105, d106, d107, d108, d109, d110, d111, d112, d113, d114) =AVERAGE(e105, e106, e107, e108, e109, e110, e111, e112, e113, e114) =AVERAGE(f105, f106, f107, f108, f109, f110, f111, f112, f113, f114) =AVERAGE(g105, g106, g107, g108, g109, g110, g111, g112, g113, g114) =AVERAGE(h105, h106, h107, h108, h109, h110, h111, h112, h113, h114) =AVERAGE(i105, i106, i107, i108, i109, i110, i111, i112, i113, i114) =AVERAGE(j105, j106, j107, j108, j109, j110, j111, j112, j113, j114) =AVERAGE(k105, k106, k107, k108, k109, k110, k111, k112, k113, k114) =AVERAGE(l105, l106, l107, l108, l109, l110, l111, l112, l113, l114) =AVERAGE(m105, m106, m107, m108, m109, m110, m111, m112, m113, m114) =AVERAGE(n105, n106, n107, n108, n109, n110, n111, n112, n113, n114) =AVERAGE(o105, o106, o107, o108, o109, o110, o111, o112, o113, o114) =AVERAGE(p105, p106, p107, p108, p109, p110, p111, p112, p113, p114) =AVERAGE(q105, q106, q107, q108, q109, q110, q111, q112, q113, q114) =AVERAGE(r105, r106, r107, r108, r109, r110, r111, r112, r113, r114) =AVERAGE(s105, s106, s107, s108, s109, s110, s111, s112, s113, s114) =AVERAGE(t105, t106, t107, t108, t109, t110, t111, t112, t113, t114) =STDEV.P(a105, a106, a107, a108, a109, a110, a111, a112, a113, a114) =STDEV.P(b105, b106, b107, b108, b109, b110, b111, b112, b113, b114) =STDEV.P(c105, c106, c107, c108, c109, c110, c111, c112, c113, c114) =STDEV.P(d105, d106, d107, d108, d109, d110, d111, d112, d113, d114) =STDEV.P(e105, e106, e107, e108, e109, e110, e111, e112, e113, e114) =STDEV.P(f105, f106, f107, f108, f109, f110, f111, f112, f113, f114) =STDEV.P(g105, g106, g107, g108, g109, g110, g111, g112, g113, g114) =STDEV.P(h105, h106, h107, h108, h109, h110, h111, h112, h113, h114) =STDEV.P(i105, i106, i107, i108, i109, i110, i111, i112, i113, i114) =STDEV.P(j105, j106, j107, j108, j109, j110, j111, j112, j113, j114) =STDEV.P(k105, k106, k107, k108, k109, k110, k111, k112, k113, k114) =STDEV.P(l105, l106, l107, l108, l109, l110, l111, l112, l113, l114) =STDEV.P(m105, m106, m107, m108, m109, m110, m111, m112, m113, m114) =STDEV.P(n105, n106, n107, n108, n109, n110, n111, n112, n113, n114) =STDEV.P(o105, o106, o107, o108, o109, o110, o111, o112, o113, o114) =STDEV.P(p105, p106, p107, p108, p109, p110, p111, p112, p113, p114) =STDEV.P(q105, q106, q107, q108, q109, q110, q111, q112, q113, q114) =STDEV.P(r105, r106, r107, r108, r109, r110, r111, r112, r113, r114) =STDEV.P(s105, s106, s107, s108, s109, s110, s111, s112, s113, s114) =STDEV.P(t105, t106, t107, t108, t109, t110, t111, t112, t113, t114) +=AVERAGE(a115, a116, a117, a118, a119, a120, a121, a122, a123, a124) =AVERAGE(b115, b116, b117, b118, b119, b120, b121, b122, b123, b124) =AVERAGE(c115, c116, c117, c118, c119, c120, c121, c122, c123, c124) =AVERAGE(d115, d116, d117, d118, d119, d120, d121, d122, d123, d124) =AVERAGE(e115, e116, e117, e118, e119, e120, e121, e122, e123, e124) =AVERAGE(f115, f116, f117, f118, f119, f120, f121, f122, f123, f124) =AVERAGE(g115, g116, g117, g118, g119, g120, g121, g122, g123, g124) =AVERAGE(h115, h116, h117, h118, h119, h120, h121, h122, h123, h124) =AVERAGE(i115, i116, i117, i118, i119, i120, i121, i122, i123, i124) =AVERAGE(j115, j116, j117, j118, j119, j120, j121, j122, j123, j124) =AVERAGE(k115, k116, k117, k118, k119, k120, k121, k122, k123, k124) =AVERAGE(l115, l116, l117, l118, l119, l120, l121, l122, l123, l124) =AVERAGE(m115, m116, m117, m118, m119, m120, m121, m122, m123, m124) =AVERAGE(n115, n116, n117, n118, n119, n120, n121, n122, n123, n124) =AVERAGE(o115, o116, o117, o118, o119, o120, o121, o122, o123, o124) =AVERAGE(p115, p116, p117, p118, p119, p120, p121, p122, p123, p124) =AVERAGE(q115, q116, q117, q118, q119, q120, q121, q122, q123, q124) =AVERAGE(r115, r116, r117, r118, r119, r120, r121, r122, r123, r124) =AVERAGE(s115, s116, s117, s118, s119, s120, s121, s122, s123, s124) =AVERAGE(t115, t116, t117, t118, t119, t120, t121, t122, t123, t124) =STDEV.P(a115, a116, a117, a118, a119, a120, a121, a122, a123, a124) =STDEV.P(b115, b116, b117, b118, b119, b120, b121, b122, b123, b124) =STDEV.P(c115, c116, c117, c118, c119, c120, c121, c122, c123, c124) =STDEV.P(d115, d116, d117, d118, d119, d120, d121, d122, d123, d124) =STDEV.P(e115, e116, e117, e118, e119, e120, e121, e122, e123, e124) =STDEV.P(f115, f116, f117, f118, f119, f120, f121, f122, f123, f124) =STDEV.P(g115, g116, g117, g118, g119, g120, g121, g122, g123, g124) =STDEV.P(h115, h116, h117, h118, h119, h120, h121, h122, h123, h124) =STDEV.P(i115, i116, i117, i118, i119, i120, i121, i122, i123, i124) =STDEV.P(j115, j116, j117, j118, j119, j120, j121, j122, j123, j124) =STDEV.P(k115, k116, k117, k118, k119, k120, k121, k122, k123, k124) =STDEV.P(l115, l116, l117, l118, l119, l120, l121, l122, l123, l124) =STDEV.P(m115, m116, m117, m118, m119, m120, m121, m122, m123, m124) =STDEV.P(n115, n116, n117, n118, n119, n120, n121, n122, n123, n124) =STDEV.P(o115, o116, o117, o118, o119, o120, o121, o122, o123, o124) =STDEV.P(p115, p116, p117, p118, p119, p120, p121, p122, p123, p124) =STDEV.P(q115, q116, q117, q118, q119, q120, q121, q122, q123, q124) =STDEV.P(r115, r116, r117, r118, r119, r120, r121, r122, r123, r124) =STDEV.P(s115, s116, s117, s118, s119, s120, s121, s122, s123, s124) =STDEV.P(t115, t116, t117, t118, t119, t120, t121, t122, t123, t124) +=AVERAGE(a125, a126, a127, a128, a129, a130, a131, a132, a133, a134) =AVERAGE(b125, b126, b127, b128, b129, b130, b131, b132, b133, b134) =AVERAGE(c125, c126, c127, c128, c129, c130, c131, c132, c133, c134) =AVERAGE(d125, d126, d127, d128, d129, d130, d131, d132, d133, d134) =AVERAGE(e125, e126, e127, e128, e129, e130, e131, e132, e133, e134) =AVERAGE(f125, f126, f127, f128, f129, f130, f131, f132, f133, f134) =AVERAGE(g125, g126, g127, g128, g129, g130, g131, g132, g133, g134) =AVERAGE(h125, h126, h127, h128, h129, h130, h131, h132, h133, h134) =AVERAGE(i125, i126, i127, i128, i129, i130, i131, i132, i133, i134) =AVERAGE(j125, j126, j127, j128, j129, j130, j131, j132, j133, j134) =AVERAGE(k125, k126, k127, k128, k129, k130, k131, k132, k133, k134) =AVERAGE(l125, l126, l127, l128, l129, l130, l131, l132, l133, l134) =AVERAGE(m125, m126, m127, m128, m129, m130, m131, m132, m133, m134) =AVERAGE(n125, n126, n127, n128, n129, n130, n131, n132, n133, n134) =AVERAGE(o125, o126, o127, o128, o129, o130, o131, o132, o133, o134) =AVERAGE(p125, p126, p127, p128, p129, p130, p131, p132, p133, p134) =AVERAGE(q125, q126, q127, q128, q129, q130, q131, q132, q133, q134) =AVERAGE(r125, r126, r127, r128, r129, r130, r131, r132, r133, r134) =AVERAGE(s125, s126, s127, s128, s129, s130, s131, s132, s133, s134) =AVERAGE(t125, t126, t127, t128, t129, t130, t131, t132, t133, t134) =STDEV.P(a125, a126, a127, a128, a129, a130, a131, a132, a133, a134) =STDEV.P(b125, b126, b127, b128, b129, b130, b131, b132, b133, b134) =STDEV.P(c125, c126, c127, c128, c129, c130, c131, c132, c133, c134) =STDEV.P(d125, d126, d127, d128, d129, d130, d131, d132, d133, d134) =STDEV.P(e125, e126, e127, e128, e129, e130, e131, e132, e133, e134) =STDEV.P(f125, f126, f127, f128, f129, f130, f131, f132, f133, f134) =STDEV.P(g125, g126, g127, g128, g129, g130, g131, g132, g133, g134) =STDEV.P(h125, h126, h127, h128, h129, h130, h131, h132, h133, h134) =STDEV.P(i125, i126, i127, i128, i129, i130, i131, i132, i133, i134) =STDEV.P(j125, j126, j127, j128, j129, j130, j131, j132, j133, j134) =STDEV.P(k125, k126, k127, k128, k129, k130, k131, k132, k133, k134) =STDEV.P(l125, l126, l127, l128, l129, l130, l131, l132, l133, l134) =STDEV.P(m125, m126, m127, m128, m129, m130, m131, m132, m133, m134) =STDEV.P(n125, n126, n127, n128, n129, n130, n131, n132, n133, n134) =STDEV.P(o125, o126, o127, o128, o129, o130, o131, o132, o133, o134) =STDEV.P(p125, p126, p127, p128, p129, p130, p131, p132, p133, p134) =STDEV.P(q125, q126, q127, q128, q129, q130, q131, q132, q133, q134) =STDEV.P(r125, r126, r127, r128, r129, r130, r131, r132, r133, r134) =STDEV.P(s125, s126, s127, s128, s129, s130, s131, s132, s133, s134) =STDEV.P(t125, t126, t127, t128, t129, t130, t131, t132, t133, t134) +=AVERAGE(a135, a136, a137, a138, a139, a140, a141, a142, a143, a144) =AVERAGE(b135, b136, b137, b138, b139, b140, b141, b142, b143, b144) =AVERAGE(c135, c136, c137, c138, c139, c140, c141, c142, c143, c144) =AVERAGE(d135, d136, d137, d138, d139, d140, d141, d142, d143, d144) =AVERAGE(e135, e136, e137, e138, e139, e140, e141, e142, e143, e144) =AVERAGE(f135, f136, f137, f138, f139, f140, f141, f142, f143, f144) =AVERAGE(g135, g136, g137, g138, g139, g140, g141, g142, g143, g144) =AVERAGE(h135, h136, h137, h138, h139, h140, h141, h142, h143, h144) =AVERAGE(i135, i136, i137, i138, i139, i140, i141, i142, i143, i144) =AVERAGE(j135, j136, j137, j138, j139, j140, j141, j142, j143, j144) =AVERAGE(k135, k136, k137, k138, k139, k140, k141, k142, k143, k144) =AVERAGE(l135, l136, l137, l138, l139, l140, l141, l142, l143, l144) =AVERAGE(m135, m136, m137, m138, m139, m140, m141, m142, m143, m144) =AVERAGE(n135, n136, n137, n138, n139, n140, n141, n142, n143, n144) =AVERAGE(o135, o136, o137, o138, o139, o140, o141, o142, o143, o144) =AVERAGE(p135, p136, p137, p138, p139, p140, p141, p142, p143, p144) =AVERAGE(q135, q136, q137, q138, q139, q140, q141, q142, q143, q144) =AVERAGE(r135, r136, r137, r138, r139, r140, r141, r142, r143, r144) =AVERAGE(s135, s136, s137, s138, s139, s140, s141, s142, s143, s144) =AVERAGE(t135, t136, t137, t138, t139, t140, t141, t142, t143, t144) =STDEV.P(a135, a136, a137, a138, a139, a140, a141, a142, a143, a144) =STDEV.P(b135, b136, b137, b138, b139, b140, b141, b142, b143, b144) =STDEV.P(c135, c136, c137, c138, c139, c140, c141, c142, c143, c144) =STDEV.P(d135, d136, d137, d138, d139, d140, d141, d142, d143, d144) =STDEV.P(e135, e136, e137, e138, e139, e140, e141, e142, e143, e144) =STDEV.P(f135, f136, f137, f138, f139, f140, f141, f142, f143, f144) =STDEV.P(g135, g136, g137, g138, g139, g140, g141, g142, g143, g144) =STDEV.P(h135, h136, h137, h138, h139, h140, h141, h142, h143, h144) =STDEV.P(i135, i136, i137, i138, i139, i140, i141, i142, i143, i144) =STDEV.P(j135, j136, j137, j138, j139, j140, j141, j142, j143, j144) =STDEV.P(k135, k136, k137, k138, k139, k140, k141, k142, k143, k144) =STDEV.P(l135, l136, l137, l138, l139, l140, l141, l142, l143, l144) =STDEV.P(m135, m136, m137, m138, m139, m140, m141, m142, m143, m144) =STDEV.P(n135, n136, n137, n138, n139, n140, n141, n142, n143, n144) =STDEV.P(o135, o136, o137, o138, o139, o140, o141, o142, o143, o144) =STDEV.P(p135, p136, p137, p138, p139, p140, p141, p142, p143, p144) =STDEV.P(q135, q136, q137, q138, q139, q140, q141, q142, q143, q144) =STDEV.P(r135, r136, r137, r138, r139, r140, r141, r142, r143, r144) =STDEV.P(s135, s136, s137, s138, s139, s140, s141, s142, s143, s144) =STDEV.P(t135, t136, t137, t138, t139, t140, t141, t142, t143, t144) +=AVERAGE(a145, a146, a147, a148, a149, a150, a151, a152, a153, a154) =AVERAGE(b145, b146, b147, b148, b149, b150, b151, b152, b153, b154) =AVERAGE(c145, c146, c147, c148, c149, c150, c151, c152, c153, c154) =AVERAGE(d145, d146, d147, d148, d149, d150, d151, d152, d153, d154) =AVERAGE(e145, e146, e147, e148, e149, e150, e151, e152, e153, e154) =AVERAGE(f145, f146, f147, f148, f149, f150, f151, f152, f153, f154) =AVERAGE(g145, g146, g147, g148, g149, g150, g151, g152, g153, g154) =AVERAGE(h145, h146, h147, h148, h149, h150, h151, h152, h153, h154) =AVERAGE(i145, i146, i147, i148, i149, i150, i151, i152, i153, i154) =AVERAGE(j145, j146, j147, j148, j149, j150, j151, j152, j153, j154) =AVERAGE(k145, k146, k147, k148, k149, k150, k151, k152, k153, k154) =AVERAGE(l145, l146, l147, l148, l149, l150, l151, l152, l153, l154) =AVERAGE(m145, m146, m147, m148, m149, m150, m151, m152, m153, m154) =AVERAGE(n145, n146, n147, n148, n149, n150, n151, n152, n153, n154) =AVERAGE(o145, o146, o147, o148, o149, o150, o151, o152, o153, o154) =AVERAGE(p145, p146, p147, p148, p149, p150, p151, p152, p153, p154) =AVERAGE(q145, q146, q147, q148, q149, q150, q151, q152, q153, q154) =AVERAGE(r145, r146, r147, r148, r149, r150, r151, r152, r153, r154) =AVERAGE(s145, s146, s147, s148, s149, s150, s151, s152, s153, s154) =AVERAGE(t145, t146, t147, t148, t149, t150, t151, t152, t153, t154) =STDEV.P(a145, a146, a147, a148, a149, a150, a151, a152, a153, a154) =STDEV.P(b145, b146, b147, b148, b149, b150, b151, b152, b153, b154) =STDEV.P(c145, c146, c147, c148, c149, c150, c151, c152, c153, c154) =STDEV.P(d145, d146, d147, d148, d149, d150, d151, d152, d153, d154) =STDEV.P(e145, e146, e147, e148, e149, e150, e151, e152, e153, e154) =STDEV.P(f145, f146, f147, f148, f149, f150, f151, f152, f153, f154) =STDEV.P(g145, g146, g147, g148, g149, g150, g151, g152, g153, g154) =STDEV.P(h145, h146, h147, h148, h149, h150, h151, h152, h153, h154) =STDEV.P(i145, i146, i147, i148, i149, i150, i151, i152, i153, i154) =STDEV.P(j145, j146, j147, j148, j149, j150, j151, j152, j153, j154) =STDEV.P(k145, k146, k147, k148, k149, k150, k151, k152, k153, k154) =STDEV.P(l145, l146, l147, l148, l149, l150, l151, l152, l153, l154) =STDEV.P(m145, m146, m147, m148, m149, m150, m151, m152, m153, m154) =STDEV.P(n145, n146, n147, n148, n149, n150, n151, n152, n153, n154) =STDEV.P(o145, o146, o147, o148, o149, o150, o151, o152, o153, o154) =STDEV.P(p145, p146, p147, p148, p149, p150, p151, p152, p153, p154) =STDEV.P(q145, q146, q147, q148, q149, q150, q151, q152, q153, q154) =STDEV.P(r145, r146, r147, r148, r149, r150, r151, r152, r153, r154) =STDEV.P(s145, s146, s147, s148, s149, s150, s151, s152, s153, s154) =STDEV.P(t145, t146, t147, t148, t149, t150, t151, t152, t153, t154) +=AVERAGE(a155, a156, a157, a158, a159, a160, a161, a162, a163, a164) =AVERAGE(b155, b156, b157, b158, b159, b160, b161, b162, b163, b164) =AVERAGE(c155, c156, c157, c158, c159, c160, c161, c162, c163, c164) =AVERAGE(d155, d156, d157, d158, d159, d160, d161, d162, d163, d164) =AVERAGE(e155, e156, e157, e158, e159, e160, e161, e162, e163, e164) =AVERAGE(f155, f156, f157, f158, f159, f160, f161, f162, f163, f164) =AVERAGE(g155, g156, g157, g158, g159, g160, g161, g162, g163, g164) =AVERAGE(h155, h156, h157, h158, h159, h160, h161, h162, h163, h164) =AVERAGE(i155, i156, i157, i158, i159, i160, i161, i162, i163, i164) =AVERAGE(j155, j156, j157, j158, j159, j160, j161, j162, j163, j164) =AVERAGE(k155, k156, k157, k158, k159, k160, k161, k162, k163, k164) =AVERAGE(l155, l156, l157, l158, l159, l160, l161, l162, l163, l164) =AVERAGE(m155, m156, m157, m158, m159, m160, m161, m162, m163, m164) =AVERAGE(n155, n156, n157, n158, n159, n160, n161, n162, n163, n164) =AVERAGE(o155, o156, o157, o158, o159, o160, o161, o162, o163, o164) =AVERAGE(p155, p156, p157, p158, p159, p160, p161, p162, p163, p164) =AVERAGE(q155, q156, q157, q158, q159, q160, q161, q162, q163, q164) =AVERAGE(r155, r156, r157, r158, r159, r160, r161, r162, r163, r164) =AVERAGE(s155, s156, s157, s158, s159, s160, s161, s162, s163, s164) =AVERAGE(t155, t156, t157, t158, t159, t160, t161, t162, t163, t164) =STDEV.P(a155, a156, a157, a158, a159, a160, a161, a162, a163, a164) =STDEV.P(b155, b156, b157, b158, b159, b160, b161, b162, b163, b164) =STDEV.P(c155, c156, c157, c158, c159, c160, c161, c162, c163, c164) =STDEV.P(d155, d156, d157, d158, d159, d160, d161, d162, d163, d164) =STDEV.P(e155, e156, e157, e158, e159, e160, e161, e162, e163, e164) =STDEV.P(f155, f156, f157, f158, f159, f160, f161, f162, f163, f164) =STDEV.P(g155, g156, g157, g158, g159, g160, g161, g162, g163, g164) =STDEV.P(h155, h156, h157, h158, h159, h160, h161, h162, h163, h164) =STDEV.P(i155, i156, i157, i158, i159, i160, i161, i162, i163, i164) =STDEV.P(j155, j156, j157, j158, j159, j160, j161, j162, j163, j164) =STDEV.P(k155, k156, k157, k158, k159, k160, k161, k162, k163, k164) =STDEV.P(l155, l156, l157, l158, l159, l160, l161, l162, l163, l164) =STDEV.P(m155, m156, m157, m158, m159, m160, m161, m162, m163, m164) =STDEV.P(n155, n156, n157, n158, n159, n160, n161, n162, n163, n164) =STDEV.P(o155, o156, o157, o158, o159, o160, o161, o162, o163, o164) =STDEV.P(p155, p156, p157, p158, p159, p160, p161, p162, p163, p164) =STDEV.P(q155, q156, q157, q158, q159, q160, q161, q162, q163, q164) =STDEV.P(r155, r156, r157, r158, r159, r160, r161, r162, r163, r164) =STDEV.P(s155, s156, s157, s158, s159, s160, s161, s162, s163, s164) =STDEV.P(t155, t156, t157, t158, t159, t160, t161, t162, t163, t164) +=AVERAGE(a165, a166, a167, a168, a169, a170, a171, a172, a173, a174) =AVERAGE(b165, b166, b167, b168, b169, b170, b171, b172, b173, b174) =AVERAGE(c165, c166, c167, c168, c169, c170, c171, c172, c173, c174) =AVERAGE(d165, d166, d167, d168, d169, d170, d171, d172, d173, d174) =AVERAGE(e165, e166, e167, e168, e169, e170, e171, e172, e173, e174) =AVERAGE(f165, f166, f167, f168, f169, f170, f171, f172, f173, f174) =AVERAGE(g165, g166, g167, g168, g169, g170, g171, g172, g173, g174) =AVERAGE(h165, h166, h167, h168, h169, h170, h171, h172, h173, h174) =AVERAGE(i165, i166, i167, i168, i169, i170, i171, i172, i173, i174) =AVERAGE(j165, j166, j167, j168, j169, j170, j171, j172, j173, j174) =AVERAGE(k165, k166, k167, k168, k169, k170, k171, k172, k173, k174) =AVERAGE(l165, l166, l167, l168, l169, l170, l171, l172, l173, l174) =AVERAGE(m165, m166, m167, m168, m169, m170, m171, m172, m173, m174) =AVERAGE(n165, n166, n167, n168, n169, n170, n171, n172, n173, n174) =AVERAGE(o165, o166, o167, o168, o169, o170, o171, o172, o173, o174) =AVERAGE(p165, p166, p167, p168, p169, p170, p171, p172, p173, p174) =AVERAGE(q165, q166, q167, q168, q169, q170, q171, q172, q173, q174) =AVERAGE(r165, r166, r167, r168, r169, r170, r171, r172, r173, r174) =AVERAGE(s165, s166, s167, s168, s169, s170, s171, s172, s173, s174) =AVERAGE(t165, t166, t167, t168, t169, t170, t171, t172, t173, t174) =STDEV.P(a165, a166, a167, a168, a169, a170, a171, a172, a173, a174) =STDEV.P(b165, b166, b167, b168, b169, b170, b171, b172, b173, b174) =STDEV.P(c165, c166, c167, c168, c169, c170, c171, c172, c173, c174) =STDEV.P(d165, d166, d167, d168, d169, d170, d171, d172, d173, d174) =STDEV.P(e165, e166, e167, e168, e169, e170, e171, e172, e173, e174) =STDEV.P(f165, f166, f167, f168, f169, f170, f171, f172, f173, f174) =STDEV.P(g165, g166, g167, g168, g169, g170, g171, g172, g173, g174) =STDEV.P(h165, h166, h167, h168, h169, h170, h171, h172, h173, h174) =STDEV.P(i165, i166, i167, i168, i169, i170, i171, i172, i173, i174) =STDEV.P(j165, j166, j167, j168, j169, j170, j171, j172, j173, j174) =STDEV.P(k165, k166, k167, k168, k169, k170, k171, k172, k173, k174) =STDEV.P(l165, l166, l167, l168, l169, l170, l171, l172, l173, l174) =STDEV.P(m165, m166, m167, m168, m169, m170, m171, m172, m173, m174) =STDEV.P(n165, n166, n167, n168, n169, n170, n171, n172, n173, n174) =STDEV.P(o165, o166, o167, o168, o169, o170, o171, o172, o173, o174) =STDEV.P(p165, p166, p167, p168, p169, p170, p171, p172, p173, p174) =STDEV.P(q165, q166, q167, q168, q169, q170, q171, q172, q173, q174) =STDEV.P(r165, r166, r167, r168, r169, r170, r171, r172, r173, r174) =STDEV.P(s165, s166, s167, s168, s169, s170, s171, s172, s173, s174) =STDEV.P(t165, t166, t167, t168, t169, t170, t171, t172, t173, t174) +=AVERAGE(a175, a176, a177, a178, a179, a180, a181, a182, a183, a184) =AVERAGE(b175, b176, b177, b178, b179, b180, b181, b182, b183, b184) =AVERAGE(c175, c176, c177, c178, c179, c180, c181, c182, c183, c184) =AVERAGE(d175, d176, d177, d178, d179, d180, d181, d182, d183, d184) =AVERAGE(e175, e176, e177, e178, e179, e180, e181, e182, e183, e184) =AVERAGE(f175, f176, f177, f178, f179, f180, f181, f182, f183, f184) =AVERAGE(g175, g176, g177, g178, g179, g180, g181, g182, g183, g184) =AVERAGE(h175, h176, h177, h178, h179, h180, h181, h182, h183, h184) =AVERAGE(i175, i176, i177, i178, i179, i180, i181, i182, i183, i184) =AVERAGE(j175, j176, j177, j178, j179, j180, j181, j182, j183, j184) =AVERAGE(k175, k176, k177, k178, k179, k180, k181, k182, k183, k184) =AVERAGE(l175, l176, l177, l178, l179, l180, l181, l182, l183, l184) =AVERAGE(m175, m176, m177, m178, m179, m180, m181, m182, m183, m184) =AVERAGE(n175, n176, n177, n178, n179, n180, n181, n182, n183, n184) =AVERAGE(o175, o176, o177, o178, o179, o180, o181, o182, o183, o184) =AVERAGE(p175, p176, p177, p178, p179, p180, p181, p182, p183, p184) =AVERAGE(q175, q176, q177, q178, q179, q180, q181, q182, q183, q184) =AVERAGE(r175, r176, r177, r178, r179, r180, r181, r182, r183, r184) =AVERAGE(s175, s176, s177, s178, s179, s180, s181, s182, s183, s184) =AVERAGE(t175, t176, t177, t178, t179, t180, t181, t182, t183, t184) =STDEV.P(a175, a176, a177, a178, a179, a180, a181, a182, a183, a184) =STDEV.P(b175, b176, b177, b178, b179, b180, b181, b182, b183, b184) =STDEV.P(c175, c176, c177, c178, c179, c180, c181, c182, c183, c184) =STDEV.P(d175, d176, d177, d178, d179, d180, d181, d182, d183, d184) =STDEV.P(e175, e176, e177, e178, e179, e180, e181, e182, e183, e184) =STDEV.P(f175, f176, f177, f178, f179, f180, f181, f182, f183, f184) =STDEV.P(g175, g176, g177, g178, g179, g180, g181, g182, g183, g184) =STDEV.P(h175, h176, h177, h178, h179, h180, h181, h182, h183, h184) =STDEV.P(i175, i176, i177, i178, i179, i180, i181, i182, i183, i184) =STDEV.P(j175, j176, j177, j178, j179, j180, j181, j182, j183, j184) =STDEV.P(k175, k176, k177, k178, k179, k180, k181, k182, k183, k184) =STDEV.P(l175, l176, l177, l178, l179, l180, l181, l182, l183, l184) =STDEV.P(m175, m176, m177, m178, m179, m180, m181, m182, m183, m184) =STDEV.P(n175, n176, n177, n178, n179, n180, n181, n182, n183, n184) =STDEV.P(o175, o176, o177, o178, o179, o180, o181, o182, o183, o184) =STDEV.P(p175, p176, p177, p178, p179, p180, p181, p182, p183, p184) =STDEV.P(q175, q176, q177, q178, q179, q180, q181, q182, q183, q184) =STDEV.P(r175, r176, r177, r178, r179, r180, r181, r182, r183, r184) =STDEV.P(s175, s176, s177, s178, s179, s180, s181, s182, s183, s184) =STDEV.P(t175, t176, t177, t178, t179, t180, t181, t182, t183, t184) +=AVERAGE(a185, a186, a187, a188, a189, a190, a191, a192, a193, a194) =AVERAGE(b185, b186, b187, b188, b189, b190, b191, b192, b193, b194) =AVERAGE(c185, c186, c187, c188, c189, c190, c191, c192, c193, c194) =AVERAGE(d185, d186, d187, d188, d189, d190, d191, d192, d193, d194) =AVERAGE(e185, e186, e187, e188, e189, e190, e191, e192, e193, e194) =AVERAGE(f185, f186, f187, f188, f189, f190, f191, f192, f193, f194) =AVERAGE(g185, g186, g187, g188, g189, g190, g191, g192, g193, g194) =AVERAGE(h185, h186, h187, h188, h189, h190, h191, h192, h193, h194) =AVERAGE(i185, i186, i187, i188, i189, i190, i191, i192, i193, i194) =AVERAGE(j185, j186, j187, j188, j189, j190, j191, j192, j193, j194) =AVERAGE(k185, k186, k187, k188, k189, k190, k191, k192, k193, k194) =AVERAGE(l185, l186, l187, l188, l189, l190, l191, l192, l193, l194) =AVERAGE(m185, m186, m187, m188, m189, m190, m191, m192, m193, m194) =AVERAGE(n185, n186, n187, n188, n189, n190, n191, n192, n193, n194) =AVERAGE(o185, o186, o187, o188, o189, o190, o191, o192, o193, o194) =AVERAGE(p185, p186, p187, p188, p189, p190, p191, p192, p193, p194) =AVERAGE(q185, q186, q187, q188, q189, q190, q191, q192, q193, q194) =AVERAGE(r185, r186, r187, r188, r189, r190, r191, r192, r193, r194) =AVERAGE(s185, s186, s187, s188, s189, s190, s191, s192, s193, s194) =AVERAGE(t185, t186, t187, t188, t189, t190, t191, t192, t193, t194) =STDEV.P(a185, a186, a187, a188, a189, a190, a191, a192, a193, a194) =STDEV.P(b185, b186, b187, b188, b189, b190, b191, b192, b193, b194) =STDEV.P(c185, c186, c187, c188, c189, c190, c191, c192, c193, c194) =STDEV.P(d185, d186, d187, d188, d189, d190, d191, d192, d193, d194) =STDEV.P(e185, e186, e187, e188, e189, e190, e191, e192, e193, e194) =STDEV.P(f185, f186, f187, f188, f189, f190, f191, f192, f193, f194) =STDEV.P(g185, g186, g187, g188, g189, g190, g191, g192, g193, g194) =STDEV.P(h185, h186, h187, h188, h189, h190, h191, h192, h193, h194) =STDEV.P(i185, i186, i187, i188, i189, i190, i191, i192, i193, i194) =STDEV.P(j185, j186, j187, j188, j189, j190, j191, j192, j193, j194) =STDEV.P(k185, k186, k187, k188, k189, k190, k191, k192, k193, k194) =STDEV.P(l185, l186, l187, l188, l189, l190, l191, l192, l193, l194) =STDEV.P(m185, m186, m187, m188, m189, m190, m191, m192, m193, m194) =STDEV.P(n185, n186, n187, n188, n189, n190, n191, n192, n193, n194) =STDEV.P(o185, o186, o187, o188, o189, o190, o191, o192, o193, o194) =STDEV.P(p185, p186, p187, p188, p189, p190, p191, p192, p193, p194) =STDEV.P(q185, q186, q187, q188, q189, q190, q191, q192, q193, q194) =STDEV.P(r185, r186, r187, r188, r189, r190, r191, r192, r193, r194) =STDEV.P(s185, s186, s187, s188, s189, s190, s191, s192, s193, s194) =STDEV.P(t185, t186, t187, t188, t189, t190, t191, t192, t193, t194) +=AVERAGE(a195, a196, a197, a198, a199, a200, a201, a202, a203, a204) =AVERAGE(b195, b196, b197, b198, b199, b200, b201, b202, b203, b204) =AVERAGE(c195, c196, c197, c198, c199, c200, c201, c202, c203, c204) =AVERAGE(d195, d196, d197, d198, d199, d200, d201, d202, d203, d204) =AVERAGE(e195, e196, e197, e198, e199, e200, e201, e202, e203, e204) =AVERAGE(f195, f196, f197, f198, f199, f200, f201, f202, f203, f204) =AVERAGE(g195, g196, g197, g198, g199, g200, g201, g202, g203, g204) =AVERAGE(h195, h196, h197, h198, h199, h200, h201, h202, h203, h204) =AVERAGE(i195, i196, i197, i198, i199, i200, i201, i202, i203, i204) =AVERAGE(j195, j196, j197, j198, j199, j200, j201, j202, j203, j204) =AVERAGE(k195, k196, k197, k198, k199, k200, k201, k202, k203, k204) =AVERAGE(l195, l196, l197, l198, l199, l200, l201, l202, l203, l204) =AVERAGE(m195, m196, m197, m198, m199, m200, m201, m202, m203, m204) =AVERAGE(n195, n196, n197, n198, n199, n200, n201, n202, n203, n204) =AVERAGE(o195, o196, o197, o198, o199, o200, o201, o202, o203, o204) =AVERAGE(p195, p196, p197, p198, p199, p200, p201, p202, p203, p204) =AVERAGE(q195, q196, q197, q198, q199, q200, q201, q202, q203, q204) =AVERAGE(r195, r196, r197, r198, r199, r200, r201, r202, r203, r204) =AVERAGE(s195, s196, s197, s198, s199, s200, s201, s202, s203, s204) =AVERAGE(t195, t196, t197, t198, t199, t200, t201, t202, t203, t204) =STDEV.P(a195, a196, a197, a198, a199, a200, a201, a202, a203, a204) =STDEV.P(b195, b196, b197, b198, b199, b200, b201, b202, b203, b204) =STDEV.P(c195, c196, c197, c198, c199, c200, c201, c202, c203, c204) =STDEV.P(d195, d196, d197, d198, d199, d200, d201, d202, d203, d204) =STDEV.P(e195, e196, e197, e198, e199, e200, e201, e202, e203, e204) =STDEV.P(f195, f196, f197, f198, f199, f200, f201, f202, f203, f204) =STDEV.P(g195, g196, g197, g198, g199, g200, g201, g202, g203, g204) =STDEV.P(h195, h196, h197, h198, h199, h200, h201, h202, h203, h204) =STDEV.P(i195, i196, i197, i198, i199, i200, i201, i202, i203, i204) =STDEV.P(j195, j196, j197, j198, j199, j200, j201, j202, j203, j204) =STDEV.P(k195, k196, k197, k198, k199, k200, k201, k202, k203, k204) =STDEV.P(l195, l196, l197, l198, l199, l200, l201, l202, l203, l204) =STDEV.P(m195, m196, m197, m198, m199, m200, m201, m202, m203, m204) =STDEV.P(n195, n196, n197, n198, n199, n200, n201, n202, n203, n204) =STDEV.P(o195, o196, o197, o198, o199, o200, o201, o202, o203, o204) =STDEV.P(p195, p196, p197, p198, p199, p200, p201, p202, p203, p204) =STDEV.P(q195, q196, q197, q198, q199, q200, q201, q202, q203, q204) =STDEV.P(r195, r196, r197, r198, r199, r200, r201, r202, r203, r204) =STDEV.P(s195, s196, s197, s198, s199, s200, s201, s202, s203, s204) =STDEV.P(t195, t196, t197, t198, t199, t200, t201, t202, t203, t204) +=AVERAGE(a205, a206, a207, a208, a209, a210, a211, a212, a213, a214) =AVERAGE(b205, b206, b207, b208, b209, b210, b211, b212, b213, b214) =AVERAGE(c205, c206, c207, c208, c209, c210, c211, c212, c213, c214) =AVERAGE(d205, d206, d207, d208, d209, d210, d211, d212, d213, d214) =AVERAGE(e205, e206, e207, e208, e209, e210, e211, e212, e213, e214) =AVERAGE(f205, f206, f207, f208, f209, f210, f211, f212, f213, f214) =AVERAGE(g205, g206, g207, g208, g209, g210, g211, g212, g213, g214) =AVERAGE(h205, h206, h207, h208, h209, h210, h211, h212, h213, h214) =AVERAGE(i205, i206, i207, i208, i209, i210, i211, i212, i213, i214) =AVERAGE(j205, j206, j207, j208, j209, j210, j211, j212, j213, j214) =AVERAGE(k205, k206, k207, k208, k209, k210, k211, k212, k213, k214) =AVERAGE(l205, l206, l207, l208, l209, l210, l211, l212, l213, l214) =AVERAGE(m205, m206, m207, m208, m209, m210, m211, m212, m213, m214) =AVERAGE(n205, n206, n207, n208, n209, n210, n211, n212, n213, n214) =AVERAGE(o205, o206, o207, o208, o209, o210, o211, o212, o213, o214) =AVERAGE(p205, p206, p207, p208, p209, p210, p211, p212, p213, p214) =AVERAGE(q205, q206, q207, q208, q209, q210, q211, q212, q213, q214) =AVERAGE(r205, r206, r207, r208, r209, r210, r211, r212, r213, r214) =AVERAGE(s205, s206, s207, s208, s209, s210, s211, s212, s213, s214) =AVERAGE(t205, t206, t207, t208, t209, t210, t211, t212, t213, t214) =STDEV.P(a205, a206, a207, a208, a209, a210, a211, a212, a213, a214) =STDEV.P(b205, b206, b207, b208, b209, b210, b211, b212, b213, b214) =STDEV.P(c205, c206, c207, c208, c209, c210, c211, c212, c213, c214) =STDEV.P(d205, d206, d207, d208, d209, d210, d211, d212, d213, d214) =STDEV.P(e205, e206, e207, e208, e209, e210, e211, e212, e213, e214) =STDEV.P(f205, f206, f207, f208, f209, f210, f211, f212, f213, f214) =STDEV.P(g205, g206, g207, g208, g209, g210, g211, g212, g213, g214) =STDEV.P(h205, h206, h207, h208, h209, h210, h211, h212, h213, h214) =STDEV.P(i205, i206, i207, i208, i209, i210, i211, i212, i213, i214) =STDEV.P(j205, j206, j207, j208, j209, j210, j211, j212, j213, j214) =STDEV.P(k205, k206, k207, k208, k209, k210, k211, k212, k213, k214) =STDEV.P(l205, l206, l207, l208, l209, l210, l211, l212, l213, l214) =STDEV.P(m205, m206, m207, m208, m209, m210, m211, m212, m213, m214) =STDEV.P(n205, n206, n207, n208, n209, n210, n211, n212, n213, n214) =STDEV.P(o205, o206, o207, o208, o209, o210, o211, o212, o213, o214) =STDEV.P(p205, p206, p207, p208, p209, p210, p211, p212, p213, p214) =STDEV.P(q205, q206, q207, q208, q209, q210, q211, q212, q213, q214) =STDEV.P(r205, r206, r207, r208, r209, r210, r211, r212, r213, r214) =STDEV.P(s205, s206, s207, s208, s209, s210, s211, s212, s213, s214) =STDEV.P(t205, t206, t207, t208, t209, t210, t211, t212, t213, t214) +=AVERAGE(a215, a216, a217, a218, a219, a220, a221, a222, a223, a224) =AVERAGE(b215, b216, b217, b218, b219, b220, b221, b222, b223, b224) =AVERAGE(c215, c216, c217, c218, c219, c220, c221, c222, c223, c224) =AVERAGE(d215, d216, d217, d218, d219, d220, d221, d222, d223, d224) =AVERAGE(e215, e216, e217, e218, e219, e220, e221, e222, e223, e224) =AVERAGE(f215, f216, f217, f218, f219, f220, f221, f222, f223, f224) =AVERAGE(g215, g216, g217, g218, g219, g220, g221, g222, g223, g224) =AVERAGE(h215, h216, h217, h218, h219, h220, h221, h222, h223, h224) =AVERAGE(i215, i216, i217, i218, i219, i220, i221, i222, i223, i224) =AVERAGE(j215, j216, j217, j218, j219, j220, j221, j222, j223, j224) =AVERAGE(k215, k216, k217, k218, k219, k220, k221, k222, k223, k224) =AVERAGE(l215, l216, l217, l218, l219, l220, l221, l222, l223, l224) =AVERAGE(m215, m216, m217, m218, m219, m220, m221, m222, m223, m224) =AVERAGE(n215, n216, n217, n218, n219, n220, n221, n222, n223, n224) =AVERAGE(o215, o216, o217, o218, o219, o220, o221, o222, o223, o224) =AVERAGE(p215, p216, p217, p218, p219, p220, p221, p222, p223, p224) =AVERAGE(q215, q216, q217, q218, q219, q220, q221, q222, q223, q224) =AVERAGE(r215, r216, r217, r218, r219, r220, r221, r222, r223, r224) =AVERAGE(s215, s216, s217, s218, s219, s220, s221, s222, s223, s224) =AVERAGE(t215, t216, t217, t218, t219, t220, t221, t222, t223, t224) =STDEV.P(a215, a216, a217, a218, a219, a220, a221, a222, a223, a224) =STDEV.P(b215, b216, b217, b218, b219, b220, b221, b222, b223, b224) =STDEV.P(c215, c216, c217, c218, c219, c220, c221, c222, c223, c224) =STDEV.P(d215, d216, d217, d218, d219, d220, d221, d222, d223, d224) =STDEV.P(e215, e216, e217, e218, e219, e220, e221, e222, e223, e224) =STDEV.P(f215, f216, f217, f218, f219, f220, f221, f222, f223, f224) =STDEV.P(g215, g216, g217, g218, g219, g220, g221, g222, g223, g224) =STDEV.P(h215, h216, h217, h218, h219, h220, h221, h222, h223, h224) =STDEV.P(i215, i216, i217, i218, i219, i220, i221, i222, i223, i224) =STDEV.P(j215, j216, j217, j218, j219, j220, j221, j222, j223, j224) =STDEV.P(k215, k216, k217, k218, k219, k220, k221, k222, k223, k224) =STDEV.P(l215, l216, l217, l218, l219, l220, l221, l222, l223, l224) =STDEV.P(m215, m216, m217, m218, m219, m220, m221, m222, m223, m224) =STDEV.P(n215, n216, n217, n218, n219, n220, n221, n222, n223, n224) =STDEV.P(o215, o216, o217, o218, o219, o220, o221, o222, o223, o224) =STDEV.P(p215, p216, p217, p218, p219, p220, p221, p222, p223, p224) =STDEV.P(q215, q216, q217, q218, q219, q220, q221, q222, q223, q224) =STDEV.P(r215, r216, r217, r218, r219, r220, r221, r222, r223, r224) =STDEV.P(s215, s216, s217, s218, s219, s220, s221, s222, s223, s224) =STDEV.P(t215, t216, t217, t218, t219, t220, t221, t222, t223, t224) +=AVERAGE(a225, a226, a227, a228, a229, a230, a231, a232, a233, a234) =AVERAGE(b225, b226, b227, b228, b229, b230, b231, b232, b233, b234) =AVERAGE(c225, c226, c227, c228, c229, c230, c231, c232, c233, c234) =AVERAGE(d225, d226, d227, d228, d229, d230, d231, d232, d233, d234) =AVERAGE(e225, e226, e227, e228, e229, e230, e231, e232, e233, e234) =AVERAGE(f225, f226, f227, f228, f229, f230, f231, f232, f233, f234) =AVERAGE(g225, g226, g227, g228, g229, g230, g231, g232, g233, g234) =AVERAGE(h225, h226, h227, h228, h229, h230, h231, h232, h233, h234) =AVERAGE(i225, i226, i227, i228, i229, i230, i231, i232, i233, i234) =AVERAGE(j225, j226, j227, j228, j229, j230, j231, j232, j233, j234) =AVERAGE(k225, k226, k227, k228, k229, k230, k231, k232, k233, k234) =AVERAGE(l225, l226, l227, l228, l229, l230, l231, l232, l233, l234) =AVERAGE(m225, m226, m227, m228, m229, m230, m231, m232, m233, m234) =AVERAGE(n225, n226, n227, n228, n229, n230, n231, n232, n233, n234) =AVERAGE(o225, o226, o227, o228, o229, o230, o231, o232, o233, o234) =AVERAGE(p225, p226, p227, p228, p229, p230, p231, p232, p233, p234) =AVERAGE(q225, q226, q227, q228, q229, q230, q231, q232, q233, q234) =AVERAGE(r225, r226, r227, r228, r229, r230, r231, r232, r233, r234) =AVERAGE(s225, s226, s227, s228, s229, s230, s231, s232, s233, s234) =AVERAGE(t225, t226, t227, t228, t229, t230, t231, t232, t233, t234) =STDEV.P(a225, a226, a227, a228, a229, a230, a231, a232, a233, a234) =STDEV.P(b225, b226, b227, b228, b229, b230, b231, b232, b233, b234) =STDEV.P(c225, c226, c227, c228, c229, c230, c231, c232, c233, c234) =STDEV.P(d225, d226, d227, d228, d229, d230, d231, d232, d233, d234) =STDEV.P(e225, e226, e227, e228, e229, e230, e231, e232, e233, e234) =STDEV.P(f225, f226, f227, f228, f229, f230, f231, f232, f233, f234) =STDEV.P(g225, g226, g227, g228, g229, g230, g231, g232, g233, g234) =STDEV.P(h225, h226, h227, h228, h229, h230, h231, h232, h233, h234) =STDEV.P(i225, i226, i227, i228, i229, i230, i231, i232, i233, i234) =STDEV.P(j225, j226, j227, j228, j229, j230, j231, j232, j233, j234) =STDEV.P(k225, k226, k227, k228, k229, k230, k231, k232, k233, k234) =STDEV.P(l225, l226, l227, l228, l229, l230, l231, l232, l233, l234) =STDEV.P(m225, m226, m227, m228, m229, m230, m231, m232, m233, m234) =STDEV.P(n225, n226, n227, n228, n229, n230, n231, n232, n233, n234) =STDEV.P(o225, o226, o227, o228, o229, o230, o231, o232, o233, o234) =STDEV.P(p225, p226, p227, p228, p229, p230, p231, p232, p233, p234) =STDEV.P(q225, q226, q227, q228, q229, q230, q231, q232, q233, q234) =STDEV.P(r225, r226, r227, r228, r229, r230, r231, r232, r233, r234) =STDEV.P(s225, s226, s227, s228, s229, s230, s231, s232, s233, s234) =STDEV.P(t225, t226, t227, t228, t229, t230, t231, t232, t233, t234) +=AVERAGE(a235, a236, a237, a238, a239, a240, a241, a242, a243, a244) =AVERAGE(b235, b236, b237, b238, b239, b240, b241, b242, b243, b244) =AVERAGE(c235, c236, c237, c238, c239, c240, c241, c242, c243, c244) =AVERAGE(d235, d236, d237, d238, d239, d240, d241, d242, d243, d244) =AVERAGE(e235, e236, e237, e238, e239, e240, e241, e242, e243, e244) =AVERAGE(f235, f236, f237, f238, f239, f240, f241, f242, f243, f244) =AVERAGE(g235, g236, g237, g238, g239, g240, g241, g242, g243, g244) =AVERAGE(h235, h236, h237, h238, h239, h240, h241, h242, h243, h244) =AVERAGE(i235, i236, i237, i238, i239, i240, i241, i242, i243, i244) =AVERAGE(j235, j236, j237, j238, j239, j240, j241, j242, j243, j244) =AVERAGE(k235, k236, k237, k238, k239, k240, k241, k242, k243, k244) =AVERAGE(l235, l236, l237, l238, l239, l240, l241, l242, l243, l244) =AVERAGE(m235, m236, m237, m238, m239, m240, m241, m242, m243, m244) =AVERAGE(n235, n236, n237, n238, n239, n240, n241, n242, n243, n244) =AVERAGE(o235, o236, o237, o238, o239, o240, o241, o242, o243, o244) =AVERAGE(p235, p236, p237, p238, p239, p240, p241, p242, p243, p244) =AVERAGE(q235, q236, q237, q238, q239, q240, q241, q242, q243, q244) =AVERAGE(r235, r236, r237, r238, r239, r240, r241, r242, r243, r244) =AVERAGE(s235, s236, s237, s238, s239, s240, s241, s242, s243, s244) =AVERAGE(t235, t236, t237, t238, t239, t240, t241, t242, t243, t244) =STDEV.P(a235, a236, a237, a238, a239, a240, a241, a242, a243, a244) =STDEV.P(b235, b236, b237, b238, b239, b240, b241, b242, b243, b244) =STDEV.P(c235, c236, c237, c238, c239, c240, c241, c242, c243, c244) =STDEV.P(d235, d236, d237, d238, d239, d240, d241, d242, d243, d244) =STDEV.P(e235, e236, e237, e238, e239, e240, e241, e242, e243, e244) =STDEV.P(f235, f236, f237, f238, f239, f240, f241, f242, f243, f244) =STDEV.P(g235, g236, g237, g238, g239, g240, g241, g242, g243, g244) =STDEV.P(h235, h236, h237, h238, h239, h240, h241, h242, h243, h244) =STDEV.P(i235, i236, i237, i238, i239, i240, i241, i242, i243, i244) =STDEV.P(j235, j236, j237, j238, j239, j240, j241, j242, j243, j244) =STDEV.P(k235, k236, k237, k238, k239, k240, k241, k242, k243, k244) =STDEV.P(l235, l236, l237, l238, l239, l240, l241, l242, l243, l244) =STDEV.P(m235, m236, m237, m238, m239, m240, m241, m242, m243, m244) =STDEV.P(n235, n236, n237, n238, n239, n240, n241, n242, n243, n244) =STDEV.P(o235, o236, o237, o238, o239, o240, o241, o242, o243, o244) =STDEV.P(p235, p236, p237, p238, p239, p240, p241, p242, p243, p244) =STDEV.P(q235, q236, q237, q238, q239, q240, q241, q242, q243, q244) =STDEV.P(r235, r236, r237, r238, r239, r240, r241, r242, r243, r244) =STDEV.P(s235, s236, s237, s238, s239, s240, s241, s242, s243, s244) =STDEV.P(t235, t236, t237, t238, t239, t240, t241, t242, t243, t244) +=AVERAGE(a245, a246, a247, a248, a249, a250, a251, a252, a253, a254) =AVERAGE(b245, b246, b247, b248, b249, b250, b251, b252, b253, b254) =AVERAGE(c245, c246, c247, c248, c249, c250, c251, c252, c253, c254) =AVERAGE(d245, d246, d247, d248, d249, d250, d251, d252, d253, d254) =AVERAGE(e245, e246, e247, e248, e249, e250, e251, e252, e253, e254) =AVERAGE(f245, f246, f247, f248, f249, f250, f251, f252, f253, f254) =AVERAGE(g245, g246, g247, g248, g249, g250, g251, g252, g253, g254) =AVERAGE(h245, h246, h247, h248, h249, h250, h251, h252, h253, h254) =AVERAGE(i245, i246, i247, i248, i249, i250, i251, i252, i253, i254) =AVERAGE(j245, j246, j247, j248, j249, j250, j251, j252, j253, j254) =AVERAGE(k245, k246, k247, k248, k249, k250, k251, k252, k253, k254) =AVERAGE(l245, l246, l247, l248, l249, l250, l251, l252, l253, l254) =AVERAGE(m245, m246, m247, m248, m249, m250, m251, m252, m253, m254) =AVERAGE(n245, n246, n247, n248, n249, n250, n251, n252, n253, n254) =AVERAGE(o245, o246, o247, o248, o249, o250, o251, o252, o253, o254) =AVERAGE(p245, p246, p247, p248, p249, p250, p251, p252, p253, p254) =AVERAGE(q245, q246, q247, q248, q249, q250, q251, q252, q253, q254) =AVERAGE(r245, r246, r247, r248, r249, r250, r251, r252, r253, r254) =AVERAGE(s245, s246, s247, s248, s249, s250, s251, s252, s253, s254) =AVERAGE(t245, t246, t247, t248, t249, t250, t251, t252, t253, t254) =STDEV.P(a245, a246, a247, a248, a249, a250, a251, a252, a253, a254) =STDEV.P(b245, b246, b247, b248, b249, b250, b251, b252, b253, b254) =STDEV.P(c245, c246, c247, c248, c249, c250, c251, c252, c253, c254) =STDEV.P(d245, d246, d247, d248, d249, d250, d251, d252, d253, d254) =STDEV.P(e245, e246, e247, e248, e249, e250, e251, e252, e253, e254) =STDEV.P(f245, f246, f247, f248, f249, f250, f251, f252, f253, f254) =STDEV.P(g245, g246, g247, g248, g249, g250, g251, g252, g253, g254) =STDEV.P(h245, h246, h247, h248, h249, h250, h251, h252, h253, h254) =STDEV.P(i245, i246, i247, i248, i249, i250, i251, i252, i253, i254) =STDEV.P(j245, j246, j247, j248, j249, j250, j251, j252, j253, j254) =STDEV.P(k245, k246, k247, k248, k249, k250, k251, k252, k253, k254) =STDEV.P(l245, l246, l247, l248, l249, l250, l251, l252, l253, l254) =STDEV.P(m245, m246, m247, m248, m249, m250, m251, m252, m253, m254) =STDEV.P(n245, n246, n247, n248, n249, n250, n251, n252, n253, n254) =STDEV.P(o245, o246, o247, o248, o249, o250, o251, o252, o253, o254) =STDEV.P(p245, p246, p247, p248, p249, p250, p251, p252, p253, p254) =STDEV.P(q245, q246, q247, q248, q249, q250, q251, q252, q253, q254) =STDEV.P(r245, r246, r247, r248, r249, r250, r251, r252, r253, r254) =STDEV.P(s245, s246, s247, s248, s249, s250, s251, s252, s253, s254) =STDEV.P(t245, t246, t247, t248, t249, t250, t251, t252, t253, t254) +=AVERAGE(a255, a256, a257, a258, a259, a260, a261, a262, a263, a264) =AVERAGE(b255, b256, b257, b258, b259, b260, b261, b262, b263, b264) =AVERAGE(c255, c256, c257, c258, c259, c260, c261, c262, c263, c264) =AVERAGE(d255, d256, d257, d258, d259, d260, d261, d262, d263, d264) =AVERAGE(e255, e256, e257, e258, e259, e260, e261, e262, e263, e264) =AVERAGE(f255, f256, f257, f258, f259, f260, f261, f262, f263, f264) =AVERAGE(g255, g256, g257, g258, g259, g260, g261, g262, g263, g264) =AVERAGE(h255, h256, h257, h258, h259, h260, h261, h262, h263, h264) =AVERAGE(i255, i256, i257, i258, i259, i260, i261, i262, i263, i264) =AVERAGE(j255, j256, j257, j258, j259, j260, j261, j262, j263, j264) =AVERAGE(k255, k256, k257, k258, k259, k260, k261, k262, k263, k264) =AVERAGE(l255, l256, l257, l258, l259, l260, l261, l262, l263, l264) =AVERAGE(m255, m256, m257, m258, m259, m260, m261, m262, m263, m264) =AVERAGE(n255, n256, n257, n258, n259, n260, n261, n262, n263, n264) =AVERAGE(o255, o256, o257, o258, o259, o260, o261, o262, o263, o264) =AVERAGE(p255, p256, p257, p258, p259, p260, p261, p262, p263, p264) =AVERAGE(q255, q256, q257, q258, q259, q260, q261, q262, q263, q264) =AVERAGE(r255, r256, r257, r258, r259, r260, r261, r262, r263, r264) =AVERAGE(s255, s256, s257, s258, s259, s260, s261, s262, s263, s264) =AVERAGE(t255, t256, t257, t258, t259, t260, t261, t262, t263, t264) =STDEV.P(a255, a256, a257, a258, a259, a260, a261, a262, a263, a264) =STDEV.P(b255, b256, b257, b258, b259, b260, b261, b262, b263, b264) =STDEV.P(c255, c256, c257, c258, c259, c260, c261, c262, c263, c264) =STDEV.P(d255, d256, d257, d258, d259, d260, d261, d262, d263, d264) =STDEV.P(e255, e256, e257, e258, e259, e260, e261, e262, e263, e264) =STDEV.P(f255, f256, f257, f258, f259, f260, f261, f262, f263, f264) =STDEV.P(g255, g256, g257, g258, g259, g260, g261, g262, g263, g264) =STDEV.P(h255, h256, h257, h258, h259, h260, h261, h262, h263, h264) =STDEV.P(i255, i256, i257, i258, i259, i260, i261, i262, i263, i264) =STDEV.P(j255, j256, j257, j258, j259, j260, j261, j262, j263, j264) =STDEV.P(k255, k256, k257, k258, k259, k260, k261, k262, k263, k264) =STDEV.P(l255, l256, l257, l258, l259, l260, l261, l262, l263, l264) =STDEV.P(m255, m256, m257, m258, m259, m260, m261, m262, m263, m264) =STDEV.P(n255, n256, n257, n258, n259, n260, n261, n262, n263, n264) =STDEV.P(o255, o256, o257, o258, o259, o260, o261, o262, o263, o264) =STDEV.P(p255, p256, p257, p258, p259, p260, p261, p262, p263, p264) =STDEV.P(q255, q256, q257, q258, q259, q260, q261, q262, q263, q264) =STDEV.P(r255, r256, r257, r258, r259, r260, r261, r262, r263, r264) =STDEV.P(s255, s256, s257, s258, s259, s260, s261, s262, s263, s264) =STDEV.P(t255, t256, t257, t258, t259, t260, t261, t262, t263, t264) +=AVERAGE(a265, a266, a267, a268, a269, a270, a271, a272, a273, a274) =AVERAGE(b265, b266, b267, b268, b269, b270, b271, b272, b273, b274) =AVERAGE(c265, c266, c267, c268, c269, c270, c271, c272, c273, c274) =AVERAGE(d265, d266, d267, d268, d269, d270, d271, d272, d273, d274) =AVERAGE(e265, e266, e267, e268, e269, e270, e271, e272, e273, e274) =AVERAGE(f265, f266, f267, f268, f269, f270, f271, f272, f273, f274) =AVERAGE(g265, g266, g267, g268, g269, g270, g271, g272, g273, g274) =AVERAGE(h265, h266, h267, h268, h269, h270, h271, h272, h273, h274) =AVERAGE(i265, i266, i267, i268, i269, i270, i271, i272, i273, i274) =AVERAGE(j265, j266, j267, j268, j269, j270, j271, j272, j273, j274) =AVERAGE(k265, k266, k267, k268, k269, k270, k271, k272, k273, k274) =AVERAGE(l265, l266, l267, l268, l269, l270, l271, l272, l273, l274) =AVERAGE(m265, m266, m267, m268, m269, m270, m271, m272, m273, m274) =AVERAGE(n265, n266, n267, n268, n269, n270, n271, n272, n273, n274) =AVERAGE(o265, o266, o267, o268, o269, o270, o271, o272, o273, o274) =AVERAGE(p265, p266, p267, p268, p269, p270, p271, p272, p273, p274) =AVERAGE(q265, q266, q267, q268, q269, q270, q271, q272, q273, q274) =AVERAGE(r265, r266, r267, r268, r269, r270, r271, r272, r273, r274) =AVERAGE(s265, s266, s267, s268, s269, s270, s271, s272, s273, s274) =AVERAGE(t265, t266, t267, t268, t269, t270, t271, t272, t273, t274) =STDEV.P(a265, a266, a267, a268, a269, a270, a271, a272, a273, a274) =STDEV.P(b265, b266, b267, b268, b269, b270, b271, b272, b273, b274) =STDEV.P(c265, c266, c267, c268, c269, c270, c271, c272, c273, c274) =STDEV.P(d265, d266, d267, d268, d269, d270, d271, d272, d273, d274) =STDEV.P(e265, e266, e267, e268, e269, e270, e271, e272, e273, e274) =STDEV.P(f265, f266, f267, f268, f269, f270, f271, f272, f273, f274) =STDEV.P(g265, g266, g267, g268, g269, g270, g271, g272, g273, g274) =STDEV.P(h265, h266, h267, h268, h269, h270, h271, h272, h273, h274) =STDEV.P(i265, i266, i267, i268, i269, i270, i271, i272, i273, i274) =STDEV.P(j265, j266, j267, j268, j269, j270, j271, j272, j273, j274) =STDEV.P(k265, k266, k267, k268, k269, k270, k271, k272, k273, k274) =STDEV.P(l265, l266, l267, l268, l269, l270, l271, l272, l273, l274) =STDEV.P(m265, m266, m267, m268, m269, m270, m271, m272, m273, m274) =STDEV.P(n265, n266, n267, n268, n269, n270, n271, n272, n273, n274) =STDEV.P(o265, o266, o267, o268, o269, o270, o271, o272, o273, o274) =STDEV.P(p265, p266, p267, p268, p269, p270, p271, p272, p273, p274) =STDEV.P(q265, q266, q267, q268, q269, q270, q271, q272, q273, q274) =STDEV.P(r265, r266, r267, r268, r269, r270, r271, r272, r273, r274) =STDEV.P(s265, s266, s267, s268, s269, s270, s271, s272, s273, s274) =STDEV.P(t265, t266, t267, t268, t269, t270, t271, t272, t273, t274) +=AVERAGE(a275, a276, a277, a278, a279, a280, a281, a282, a283, a284) =AVERAGE(b275, b276, b277, b278, b279, b280, b281, b282, b283, b284) =AVERAGE(c275, c276, c277, c278, c279, c280, c281, c282, c283, c284) =AVERAGE(d275, d276, d277, d278, d279, d280, d281, d282, d283, d284) =AVERAGE(e275, e276, e277, e278, e279, e280, e281, e282, e283, e284) =AVERAGE(f275, f276, f277, f278, f279, f280, f281, f282, f283, f284) =AVERAGE(g275, g276, g277, g278, g279, g280, g281, g282, g283, g284) =AVERAGE(h275, h276, h277, h278, h279, h280, h281, h282, h283, h284) =AVERAGE(i275, i276, i277, i278, i279, i280, i281, i282, i283, i284) =AVERAGE(j275, j276, j277, j278, j279, j280, j281, j282, j283, j284) =AVERAGE(k275, k276, k277, k278, k279, k280, k281, k282, k283, k284) =AVERAGE(l275, l276, l277, l278, l279, l280, l281, l282, l283, l284) =AVERAGE(m275, m276, m277, m278, m279, m280, m281, m282, m283, m284) =AVERAGE(n275, n276, n277, n278, n279, n280, n281, n282, n283, n284) =AVERAGE(o275, o276, o277, o278, o279, o280, o281, o282, o283, o284) =AVERAGE(p275, p276, p277, p278, p279, p280, p281, p282, p283, p284) =AVERAGE(q275, q276, q277, q278, q279, q280, q281, q282, q283, q284) =AVERAGE(r275, r276, r277, r278, r279, r280, r281, r282, r283, r284) =AVERAGE(s275, s276, s277, s278, s279, s280, s281, s282, s283, s284) =AVERAGE(t275, t276, t277, t278, t279, t280, t281, t282, t283, t284) =STDEV.P(a275, a276, a277, a278, a279, a280, a281, a282, a283, a284) =STDEV.P(b275, b276, b277, b278, b279, b280, b281, b282, b283, b284) =STDEV.P(c275, c276, c277, c278, c279, c280, c281, c282, c283, c284) =STDEV.P(d275, d276, d277, d278, d279, d280, d281, d282, d283, d284) =STDEV.P(e275, e276, e277, e278, e279, e280, e281, e282, e283, e284) =STDEV.P(f275, f276, f277, f278, f279, f280, f281, f282, f283, f284) =STDEV.P(g275, g276, g277, g278, g279, g280, g281, g282, g283, g284) =STDEV.P(h275, h276, h277, h278, h279, h280, h281, h282, h283, h284) =STDEV.P(i275, i276, i277, i278, i279, i280, i281, i282, i283, i284) =STDEV.P(j275, j276, j277, j278, j279, j280, j281, j282, j283, j284) =STDEV.P(k275, k276, k277, k278, k279, k280, k281, k282, k283, k284) =STDEV.P(l275, l276, l277, l278, l279, l280, l281, l282, l283, l284) =STDEV.P(m275, m276, m277, m278, m279, m280, m281, m282, m283, m284) =STDEV.P(n275, n276, n277, n278, n279, n280, n281, n282, n283, n284) =STDEV.P(o275, o276, o277, o278, o279, o280, o281, o282, o283, o284) =STDEV.P(p275, p276, p277, p278, p279, p280, p281, p282, p283, p284) =STDEV.P(q275, q276, q277, q278, q279, q280, q281, q282, q283, q284) =STDEV.P(r275, r276, r277, r278, r279, r280, r281, r282, r283, r284) =STDEV.P(s275, s276, s277, s278, s279, s280, s281, s282, s283, s284) =STDEV.P(t275, t276, t277, t278, t279, t280, t281, t282, t283, t284) +=AVERAGE(a285, a286, a287, a288, a289, a290, a291, a292, a293, a294) =AVERAGE(b285, b286, b287, b288, b289, b290, b291, b292, b293, b294) =AVERAGE(c285, c286, c287, c288, c289, c290, c291, c292, c293, c294) =AVERAGE(d285, d286, d287, d288, d289, d290, d291, d292, d293, d294) =AVERAGE(e285, e286, e287, e288, e289, e290, e291, e292, e293, e294) =AVERAGE(f285, f286, f287, f288, f289, f290, f291, f292, f293, f294) =AVERAGE(g285, g286, g287, g288, g289, g290, g291, g292, g293, g294) =AVERAGE(h285, h286, h287, h288, h289, h290, h291, h292, h293, h294) =AVERAGE(i285, i286, i287, i288, i289, i290, i291, i292, i293, i294) =AVERAGE(j285, j286, j287, j288, j289, j290, j291, j292, j293, j294) =AVERAGE(k285, k286, k287, k288, k289, k290, k291, k292, k293, k294) =AVERAGE(l285, l286, l287, l288, l289, l290, l291, l292, l293, l294) =AVERAGE(m285, m286, m287, m288, m289, m290, m291, m292, m293, m294) =AVERAGE(n285, n286, n287, n288, n289, n290, n291, n292, n293, n294) =AVERAGE(o285, o286, o287, o288, o289, o290, o291, o292, o293, o294) =AVERAGE(p285, p286, p287, p288, p289, p290, p291, p292, p293, p294) =AVERAGE(q285, q286, q287, q288, q289, q290, q291, q292, q293, q294) =AVERAGE(r285, r286, r287, r288, r289, r290, r291, r292, r293, r294) =AVERAGE(s285, s286, s287, s288, s289, s290, s291, s292, s293, s294) =AVERAGE(t285, t286, t287, t288, t289, t290, t291, t292, t293, t294) =STDEV.P(a285, a286, a287, a288, a289, a290, a291, a292, a293, a294) =STDEV.P(b285, b286, b287, b288, b289, b290, b291, b292, b293, b294) =STDEV.P(c285, c286, c287, c288, c289, c290, c291, c292, c293, c294) =STDEV.P(d285, d286, d287, d288, d289, d290, d291, d292, d293, d294) =STDEV.P(e285, e286, e287, e288, e289, e290, e291, e292, e293, e294) =STDEV.P(f285, f286, f287, f288, f289, f290, f291, f292, f293, f294) =STDEV.P(g285, g286, g287, g288, g289, g290, g291, g292, g293, g294) =STDEV.P(h285, h286, h287, h288, h289, h290, h291, h292, h293, h294) =STDEV.P(i285, i286, i287, i288, i289, i290, i291, i292, i293, i294) =STDEV.P(j285, j286, j287, j288, j289, j290, j291, j292, j293, j294) =STDEV.P(k285, k286, k287, k288, k289, k290, k291, k292, k293, k294) =STDEV.P(l285, l286, l287, l288, l289, l290, l291, l292, l293, l294) =STDEV.P(m285, m286, m287, m288, m289, m290, m291, m292, m293, m294) =STDEV.P(n285, n286, n287, n288, n289, n290, n291, n292, n293, n294) =STDEV.P(o285, o286, o287, o288, o289, o290, o291, o292, o293, o294) =STDEV.P(p285, p286, p287, p288, p289, p290, p291, p292, p293, p294) =STDEV.P(q285, q286, q287, q288, q289, q290, q291, q292, q293, q294) =STDEV.P(r285, r286, r287, r288, r289, r290, r291, r292, r293, r294) =STDEV.P(s285, s286, s287, s288, s289, s290, s291, s292, s293, s294) =STDEV.P(t285, t286, t287, t288, t289, t290, t291, t292, t293, t294) +=AVERAGE(a295, a296, a297, a298, a299, a300, a301, a302, a303, a304) =AVERAGE(b295, b296, b297, b298, b299, b300, b301, b302, b303, b304) =AVERAGE(c295, c296, c297, c298, c299, c300, c301, c302, c303, c304) =AVERAGE(d295, d296, d297, d298, d299, d300, d301, d302, d303, d304) =AVERAGE(e295, e296, e297, e298, e299, e300, e301, e302, e303, e304) =AVERAGE(f295, f296, f297, f298, f299, f300, f301, f302, f303, f304) =AVERAGE(g295, g296, g297, g298, g299, g300, g301, g302, g303, g304) =AVERAGE(h295, h296, h297, h298, h299, h300, h301, h302, h303, h304) =AVERAGE(i295, i296, i297, i298, i299, i300, i301, i302, i303, i304) =AVERAGE(j295, j296, j297, j298, j299, j300, j301, j302, j303, j304) =AVERAGE(k295, k296, k297, k298, k299, k300, k301, k302, k303, k304) =AVERAGE(l295, l296, l297, l298, l299, l300, l301, l302, l303, l304) =AVERAGE(m295, m296, m297, m298, m299, m300, m301, m302, m303, m304) =AVERAGE(n295, n296, n297, n298, n299, n300, n301, n302, n303, n304) =AVERAGE(o295, o296, o297, o298, o299, o300, o301, o302, o303, o304) =AVERAGE(p295, p296, p297, p298, p299, p300, p301, p302, p303, p304) =AVERAGE(q295, q296, q297, q298, q299, q300, q301, q302, q303, q304) =AVERAGE(r295, r296, r297, r298, r299, r300, r301, r302, r303, r304) =AVERAGE(s295, s296, s297, s298, s299, s300, s301, s302, s303, s304) =AVERAGE(t295, t296, t297, t298, t299, t300, t301, t302, t303, t304) =STDEV.P(a295, a296, a297, a298, a299, a300, a301, a302, a303, a304) =STDEV.P(b295, b296, b297, b298, b299, b300, b301, b302, b303, b304) =STDEV.P(c295, c296, c297, c298, c299, c300, c301, c302, c303, c304) =STDEV.P(d295, d296, d297, d298, d299, d300, d301, d302, d303, d304) =STDEV.P(e295, e296, e297, e298, e299, e300, e301, e302, e303, e304) =STDEV.P(f295, f296, f297, f298, f299, f300, f301, f302, f303, f304) =STDEV.P(g295, g296, g297, g298, g299, g300, g301, g302, g303, g304) =STDEV.P(h295, h296, h297, h298, h299, h300, h301, h302, h303, h304) =STDEV.P(i295, i296, i297, i298, i299, i300, i301, i302, i303, i304) =STDEV.P(j295, j296, j297, j298, j299, j300, j301, j302, j303, j304) =STDEV.P(k295, k296, k297, k298, k299, k300, k301, k302, k303, k304) =STDEV.P(l295, l296, l297, l298, l299, l300, l301, l302, l303, l304) =STDEV.P(m295, m296, m297, m298, m299, m300, m301, m302, m303, m304) =STDEV.P(n295, n296, n297, n298, n299, n300, n301, n302, n303, n304) =STDEV.P(o295, o296, o297, o298, o299, o300, o301, o302, o303, o304) =STDEV.P(p295, p296, p297, p298, p299, p300, p301, p302, p303, p304) =STDEV.P(q295, q296, q297, q298, q299, q300, q301, q302, q303, q304) =STDEV.P(r295, r296, r297, r298, r299, r300, r301, r302, r303, r304) =STDEV.P(s295, s296, s297, s298, s299, s300, s301, s302, s303, s304) =STDEV.P(t295, t296, t297, t298, t299, t300, t301, t302, t303, t304) +=AVERAGE(a305, a306, a307, a308, a309, a310, a311, a312, a313, a314) =AVERAGE(b305, b306, b307, b308, b309, b310, b311, b312, b313, b314) =AVERAGE(c305, c306, c307, c308, c309, c310, c311, c312, c313, c314) =AVERAGE(d305, d306, d307, d308, d309, d310, d311, d312, d313, d314) =AVERAGE(e305, e306, e307, e308, e309, e310, e311, e312, e313, e314) =AVERAGE(f305, f306, f307, f308, f309, f310, f311, f312, f313, f314) =AVERAGE(g305, g306, g307, g308, g309, g310, g311, g312, g313, g314) =AVERAGE(h305, h306, h307, h308, h309, h310, h311, h312, h313, h314) =AVERAGE(i305, i306, i307, i308, i309, i310, i311, i312, i313, i314) =AVERAGE(j305, j306, j307, j308, j309, j310, j311, j312, j313, j314) =AVERAGE(k305, k306, k307, k308, k309, k310, k311, k312, k313, k314) =AVERAGE(l305, l306, l307, l308, l309, l310, l311, l312, l313, l314) =AVERAGE(m305, m306, m307, m308, m309, m310, m311, m312, m313, m314) =AVERAGE(n305, n306, n307, n308, n309, n310, n311, n312, n313, n314) =AVERAGE(o305, o306, o307, o308, o309, o310, o311, o312, o313, o314) =AVERAGE(p305, p306, p307, p308, p309, p310, p311, p312, p313, p314) =AVERAGE(q305, q306, q307, q308, q309, q310, q311, q312, q313, q314) =AVERAGE(r305, r306, r307, r308, r309, r310, r311, r312, r313, r314) =AVERAGE(s305, s306, s307, s308, s309, s310, s311, s312, s313, s314) =AVERAGE(t305, t306, t307, t308, t309, t310, t311, t312, t313, t314) =STDEV.P(a305, a306, a307, a308, a309, a310, a311, a312, a313, a314) =STDEV.P(b305, b306, b307, b308, b309, b310, b311, b312, b313, b314) =STDEV.P(c305, c306, c307, c308, c309, c310, c311, c312, c313, c314) =STDEV.P(d305, d306, d307, d308, d309, d310, d311, d312, d313, d314) =STDEV.P(e305, e306, e307, e308, e309, e310, e311, e312, e313, e314) =STDEV.P(f305, f306, f307, f308, f309, f310, f311, f312, f313, f314) =STDEV.P(g305, g306, g307, g308, g309, g310, g311, g312, g313, g314) =STDEV.P(h305, h306, h307, h308, h309, h310, h311, h312, h313, h314) =STDEV.P(i305, i306, i307, i308, i309, i310, i311, i312, i313, i314) =STDEV.P(j305, j306, j307, j308, j309, j310, j311, j312, j313, j314) =STDEV.P(k305, k306, k307, k308, k309, k310, k311, k312, k313, k314) =STDEV.P(l305, l306, l307, l308, l309, l310, l311, l312, l313, l314) =STDEV.P(m305, m306, m307, m308, m309, m310, m311, m312, m313, m314) =STDEV.P(n305, n306, n307, n308, n309, n310, n311, n312, n313, n314) =STDEV.P(o305, o306, o307, o308, o309, o310, o311, o312, o313, o314) =STDEV.P(p305, p306, p307, p308, p309, p310, p311, p312, p313, p314) =STDEV.P(q305, q306, q307, q308, q309, q310, q311, q312, q313, q314) =STDEV.P(r305, r306, r307, r308, r309, r310, r311, r312, r313, r314) =STDEV.P(s305, s306, s307, s308, s309, s310, s311, s312, s313, s314) =STDEV.P(t305, t306, t307, t308, t309, t310, t311, t312, t313, t314) +=AVERAGE(a315, a316, a317, a318, a319, a320, a321, a322, a323, a324) =AVERAGE(b315, b316, b317, b318, b319, b320, b321, b322, b323, b324) =AVERAGE(c315, c316, c317, c318, c319, c320, c321, c322, c323, c324) =AVERAGE(d315, d316, d317, d318, d319, d320, d321, d322, d323, d324) =AVERAGE(e315, e316, e317, e318, e319, e320, e321, e322, e323, e324) =AVERAGE(f315, f316, f317, f318, f319, f320, f321, f322, f323, f324) =AVERAGE(g315, g316, g317, g318, g319, g320, g321, g322, g323, g324) =AVERAGE(h315, h316, h317, h318, h319, h320, h321, h322, h323, h324) =AVERAGE(i315, i316, i317, i318, i319, i320, i321, i322, i323, i324) =AVERAGE(j315, j316, j317, j318, j319, j320, j321, j322, j323, j324) =AVERAGE(k315, k316, k317, k318, k319, k320, k321, k322, k323, k324) =AVERAGE(l315, l316, l317, l318, l319, l320, l321, l322, l323, l324) =AVERAGE(m315, m316, m317, m318, m319, m320, m321, m322, m323, m324) =AVERAGE(n315, n316, n317, n318, n319, n320, n321, n322, n323, n324) =AVERAGE(o315, o316, o317, o318, o319, o320, o321, o322, o323, o324) =AVERAGE(p315, p316, p317, p318, p319, p320, p321, p322, p323, p324) =AVERAGE(q315, q316, q317, q318, q319, q320, q321, q322, q323, q324) =AVERAGE(r315, r316, r317, r318, r319, r320, r321, r322, r323, r324) =AVERAGE(s315, s316, s317, s318, s319, s320, s321, s322, s323, s324) =AVERAGE(t315, t316, t317, t318, t319, t320, t321, t322, t323, t324) =STDEV.P(a315, a316, a317, a318, a319, a320, a321, a322, a323, a324) =STDEV.P(b315, b316, b317, b318, b319, b320, b321, b322, b323, b324) =STDEV.P(c315, c316, c317, c318, c319, c320, c321, c322, c323, c324) =STDEV.P(d315, d316, d317, d318, d319, d320, d321, d322, d323, d324) =STDEV.P(e315, e316, e317, e318, e319, e320, e321, e322, e323, e324) =STDEV.P(f315, f316, f317, f318, f319, f320, f321, f322, f323, f324) =STDEV.P(g315, g316, g317, g318, g319, g320, g321, g322, g323, g324) =STDEV.P(h315, h316, h317, h318, h319, h320, h321, h322, h323, h324) =STDEV.P(i315, i316, i317, i318, i319, i320, i321, i322, i323, i324) =STDEV.P(j315, j316, j317, j318, j319, j320, j321, j322, j323, j324) =STDEV.P(k315, k316, k317, k318, k319, k320, k321, k322, k323, k324) =STDEV.P(l315, l316, l317, l318, l319, l320, l321, l322, l323, l324) =STDEV.P(m315, m316, m317, m318, m319, m320, m321, m322, m323, m324) =STDEV.P(n315, n316, n317, n318, n319, n320, n321, n322, n323, n324) =STDEV.P(o315, o316, o317, o318, o319, o320, o321, o322, o323, o324) =STDEV.P(p315, p316, p317, p318, p319, p320, p321, p322, p323, p324) =STDEV.P(q315, q316, q317, q318, q319, q320, q321, q322, q323, q324) =STDEV.P(r315, r316, r317, r318, r319, r320, r321, r322, r323, r324) =STDEV.P(s315, s316, s317, s318, s319, s320, s321, s322, s323, s324) =STDEV.P(t315, t316, t317, t318, t319, t320, t321, t322, t323, t324) +=AVERAGE(a325, a326, a327, a328, a329, a330, a331, a332, a333, a334) =AVERAGE(b325, b326, b327, b328, b329, b330, b331, b332, b333, b334) =AVERAGE(c325, c326, c327, c328, c329, c330, c331, c332, c333, c334) =AVERAGE(d325, d326, d327, d328, d329, d330, d331, d332, d333, d334) =AVERAGE(e325, e326, e327, e328, e329, e330, e331, e332, e333, e334) =AVERAGE(f325, f326, f327, f328, f329, f330, f331, f332, f333, f334) =AVERAGE(g325, g326, g327, g328, g329, g330, g331, g332, g333, g334) =AVERAGE(h325, h326, h327, h328, h329, h330, h331, h332, h333, h334) =AVERAGE(i325, i326, i327, i328, i329, i330, i331, i332, i333, i334) =AVERAGE(j325, j326, j327, j328, j329, j330, j331, j332, j333, j334) =AVERAGE(k325, k326, k327, k328, k329, k330, k331, k332, k333, k334) =AVERAGE(l325, l326, l327, l328, l329, l330, l331, l332, l333, l334) =AVERAGE(m325, m326, m327, m328, m329, m330, m331, m332, m333, m334) =AVERAGE(n325, n326, n327, n328, n329, n330, n331, n332, n333, n334) =AVERAGE(o325, o326, o327, o328, o329, o330, o331, o332, o333, o334) =AVERAGE(p325, p326, p327, p328, p329, p330, p331, p332, p333, p334) =AVERAGE(q325, q326, q327, q328, q329, q330, q331, q332, q333, q334) =AVERAGE(r325, r326, r327, r328, r329, r330, r331, r332, r333, r334) =AVERAGE(s325, s326, s327, s328, s329, s330, s331, s332, s333, s334) =AVERAGE(t325, t326, t327, t328, t329, t330, t331, t332, t333, t334) =STDEV.P(a325, a326, a327, a328, a329, a330, a331, a332, a333, a334) =STDEV.P(b325, b326, b327, b328, b329, b330, b331, b332, b333, b334) =STDEV.P(c325, c326, c327, c328, c329, c330, c331, c332, c333, c334) =STDEV.P(d325, d326, d327, d328, d329, d330, d331, d332, d333, d334) =STDEV.P(e325, e326, e327, e328, e329, e330, e331, e332, e333, e334) =STDEV.P(f325, f326, f327, f328, f329, f330, f331, f332, f333, f334) =STDEV.P(g325, g326, g327, g328, g329, g330, g331, g332, g333, g334) =STDEV.P(h325, h326, h327, h328, h329, h330, h331, h332, h333, h334) =STDEV.P(i325, i326, i327, i328, i329, i330, i331, i332, i333, i334) =STDEV.P(j325, j326, j327, j328, j329, j330, j331, j332, j333, j334) =STDEV.P(k325, k326, k327, k328, k329, k330, k331, k332, k333, k334) =STDEV.P(l325, l326, l327, l328, l329, l330, l331, l332, l333, l334) =STDEV.P(m325, m326, m327, m328, m329, m330, m331, m332, m333, m334) =STDEV.P(n325, n326, n327, n328, n329, n330, n331, n332, n333, n334) =STDEV.P(o325, o326, o327, o328, o329, o330, o331, o332, o333, o334) =STDEV.P(p325, p326, p327, p328, p329, p330, p331, p332, p333, p334) =STDEV.P(q325, q326, q327, q328, q329, q330, q331, q332, q333, q334) =STDEV.P(r325, r326, r327, r328, r329, r330, r331, r332, r333, r334) =STDEV.P(s325, s326, s327, s328, s329, s330, s331, s332, s333, s334) =STDEV.P(t325, t326, t327, t328, t329, t330, t331, t332, t333, t334) +=AVERAGE(a335, a336, a337, a338, a339, a340, a341, a342, a343, a344) =AVERAGE(b335, b336, b337, b338, b339, b340, b341, b342, b343, b344) =AVERAGE(c335, c336, c337, c338, c339, c340, c341, c342, c343, c344) =AVERAGE(d335, d336, d337, d338, d339, d340, d341, d342, d343, d344) =AVERAGE(e335, e336, e337, e338, e339, e340, e341, e342, e343, e344) =AVERAGE(f335, f336, f337, f338, f339, f340, f341, f342, f343, f344) =AVERAGE(g335, g336, g337, g338, g339, g340, g341, g342, g343, g344) =AVERAGE(h335, h336, h337, h338, h339, h340, h341, h342, h343, h344) =AVERAGE(i335, i336, i337, i338, i339, i340, i341, i342, i343, i344) =AVERAGE(j335, j336, j337, j338, j339, j340, j341, j342, j343, j344) =AVERAGE(k335, k336, k337, k338, k339, k340, k341, k342, k343, k344) =AVERAGE(l335, l336, l337, l338, l339, l340, l341, l342, l343, l344) =AVERAGE(m335, m336, m337, m338, m339, m340, m341, m342, m343, m344) =AVERAGE(n335, n336, n337, n338, n339, n340, n341, n342, n343, n344) =AVERAGE(o335, o336, o337, o338, o339, o340, o341, o342, o343, o344) =AVERAGE(p335, p336, p337, p338, p339, p340, p341, p342, p343, p344) =AVERAGE(q335, q336, q337, q338, q339, q340, q341, q342, q343, q344) =AVERAGE(r335, r336, r337, r338, r339, r340, r341, r342, r343, r344) =AVERAGE(s335, s336, s337, s338, s339, s340, s341, s342, s343, s344) =AVERAGE(t335, t336, t337, t338, t339, t340, t341, t342, t343, t344) =STDEV.P(a335, a336, a337, a338, a339, a340, a341, a342, a343, a344) =STDEV.P(b335, b336, b337, b338, b339, b340, b341, b342, b343, b344) =STDEV.P(c335, c336, c337, c338, c339, c340, c341, c342, c343, c344) =STDEV.P(d335, d336, d337, d338, d339, d340, d341, d342, d343, d344) =STDEV.P(e335, e336, e337, e338, e339, e340, e341, e342, e343, e344) =STDEV.P(f335, f336, f337, f338, f339, f340, f341, f342, f343, f344) =STDEV.P(g335, g336, g337, g338, g339, g340, g341, g342, g343, g344) =STDEV.P(h335, h336, h337, h338, h339, h340, h341, h342, h343, h344) =STDEV.P(i335, i336, i337, i338, i339, i340, i341, i342, i343, i344) =STDEV.P(j335, j336, j337, j338, j339, j340, j341, j342, j343, j344) =STDEV.P(k335, k336, k337, k338, k339, k340, k341, k342, k343, k344) =STDEV.P(l335, l336, l337, l338, l339, l340, l341, l342, l343, l344) =STDEV.P(m335, m336, m337, m338, m339, m340, m341, m342, m343, m344) =STDEV.P(n335, n336, n337, n338, n339, n340, n341, n342, n343, n344) =STDEV.P(o335, o336, o337, o338, o339, o340, o341, o342, o343, o344) =STDEV.P(p335, p336, p337, p338, p339, p340, p341, p342, p343, p344) =STDEV.P(q335, q336, q337, q338, q339, q340, q341, q342, q343, q344) =STDEV.P(r335, r336, r337, r338, r339, r340, r341, r342, r343, r344) =STDEV.P(s335, s336, s337, s338, s339, s340, s341, s342, s343, s344) =STDEV.P(t335, t336, t337, t338, t339, t340, t341, t342, t343, t344) +=AVERAGE(a345, a346, a347, a348, a349, a350, a351, a352, a353, a354) =AVERAGE(b345, b346, b347, b348, b349, b350, b351, b352, b353, b354) =AVERAGE(c345, c346, c347, c348, c349, c350, c351, c352, c353, c354) =AVERAGE(d345, d346, d347, d348, d349, d350, d351, d352, d353, d354) =AVERAGE(e345, e346, e347, e348, e349, e350, e351, e352, e353, e354) =AVERAGE(f345, f346, f347, f348, f349, f350, f351, f352, f353, f354) =AVERAGE(g345, g346, g347, g348, g349, g350, g351, g352, g353, g354) =AVERAGE(h345, h346, h347, h348, h349, h350, h351, h352, h353, h354) =AVERAGE(i345, i346, i347, i348, i349, i350, i351, i352, i353, i354) =AVERAGE(j345, j346, j347, j348, j349, j350, j351, j352, j353, j354) =AVERAGE(k345, k346, k347, k348, k349, k350, k351, k352, k353, k354) =AVERAGE(l345, l346, l347, l348, l349, l350, l351, l352, l353, l354) =AVERAGE(m345, m346, m347, m348, m349, m350, m351, m352, m353, m354) =AVERAGE(n345, n346, n347, n348, n349, n350, n351, n352, n353, n354) =AVERAGE(o345, o346, o347, o348, o349, o350, o351, o352, o353, o354) =AVERAGE(p345, p346, p347, p348, p349, p350, p351, p352, p353, p354) =AVERAGE(q345, q346, q347, q348, q349, q350, q351, q352, q353, q354) =AVERAGE(r345, r346, r347, r348, r349, r350, r351, r352, r353, r354) =AVERAGE(s345, s346, s347, s348, s349, s350, s351, s352, s353, s354) =AVERAGE(t345, t346, t347, t348, t349, t350, t351, t352, t353, t354) =STDEV.P(a345, a346, a347, a348, a349, a350, a351, a352, a353, a354) =STDEV.P(b345, b346, b347, b348, b349, b350, b351, b352, b353, b354) =STDEV.P(c345, c346, c347, c348, c349, c350, c351, c352, c353, c354) =STDEV.P(d345, d346, d347, d348, d349, d350, d351, d352, d353, d354) =STDEV.P(e345, e346, e347, e348, e349, e350, e351, e352, e353, e354) =STDEV.P(f345, f346, f347, f348, f349, f350, f351, f352, f353, f354) =STDEV.P(g345, g346, g347, g348, g349, g350, g351, g352, g353, g354) =STDEV.P(h345, h346, h347, h348, h349, h350, h351, h352, h353, h354) =STDEV.P(i345, i346, i347, i348, i349, i350, i351, i352, i353, i354) =STDEV.P(j345, j346, j347, j348, j349, j350, j351, j352, j353, j354) =STDEV.P(k345, k346, k347, k348, k349, k350, k351, k352, k353, k354) =STDEV.P(l345, l346, l347, l348, l349, l350, l351, l352, l353, l354) =STDEV.P(m345, m346, m347, m348, m349, m350, m351, m352, m353, m354) =STDEV.P(n345, n346, n347, n348, n349, n350, n351, n352, n353, n354) =STDEV.P(o345, o346, o347, o348, o349, o350, o351, o352, o353, o354) =STDEV.P(p345, p346, p347, p348, p349, p350, p351, p352, p353, p354) =STDEV.P(q345, q346, q347, q348, q349, q350, q351, q352, q353, q354) =STDEV.P(r345, r346, r347, r348, r349, r350, r351, r352, r353, r354) =STDEV.P(s345, s346, s347, s348, s349, s350, s351, s352, s353, s354) =STDEV.P(t345, t346, t347, t348, t349, t350, t351, t352, t353, t354) +=AVERAGE(a355, a356, a357, a358, a359, a360, a361, a362, a363, a364) =AVERAGE(b355, b356, b357, b358, b359, b360, b361, b362, b363, b364) =AVERAGE(c355, c356, c357, c358, c359, c360, c361, c362, c363, c364) =AVERAGE(d355, d356, d357, d358, d359, d360, d361, d362, d363, d364) =AVERAGE(e355, e356, e357, e358, e359, e360, e361, e362, e363, e364) =AVERAGE(f355, f356, f357, f358, f359, f360, f361, f362, f363, f364) =AVERAGE(g355, g356, g357, g358, g359, g360, g361, g362, g363, g364) =AVERAGE(h355, h356, h357, h358, h359, h360, h361, h362, h363, h364) =AVERAGE(i355, i356, i357, i358, i359, i360, i361, i362, i363, i364) =AVERAGE(j355, j356, j357, j358, j359, j360, j361, j362, j363, j364) =AVERAGE(k355, k356, k357, k358, k359, k360, k361, k362, k363, k364) =AVERAGE(l355, l356, l357, l358, l359, l360, l361, l362, l363, l364) =AVERAGE(m355, m356, m357, m358, m359, m360, m361, m362, m363, m364) =AVERAGE(n355, n356, n357, n358, n359, n360, n361, n362, n363, n364) =AVERAGE(o355, o356, o357, o358, o359, o360, o361, o362, o363, o364) =AVERAGE(p355, p356, p357, p358, p359, p360, p361, p362, p363, p364) =AVERAGE(q355, q356, q357, q358, q359, q360, q361, q362, q363, q364) =AVERAGE(r355, r356, r357, r358, r359, r360, r361, r362, r363, r364) =AVERAGE(s355, s356, s357, s358, s359, s360, s361, s362, s363, s364) =AVERAGE(t355, t356, t357, t358, t359, t360, t361, t362, t363, t364) =STDEV.P(a355, a356, a357, a358, a359, a360, a361, a362, a363, a364) =STDEV.P(b355, b356, b357, b358, b359, b360, b361, b362, b363, b364) =STDEV.P(c355, c356, c357, c358, c359, c360, c361, c362, c363, c364) =STDEV.P(d355, d356, d357, d358, d359, d360, d361, d362, d363, d364) =STDEV.P(e355, e356, e357, e358, e359, e360, e361, e362, e363, e364) =STDEV.P(f355, f356, f357, f358, f359, f360, f361, f362, f363, f364) =STDEV.P(g355, g356, g357, g358, g359, g360, g361, g362, g363, g364) =STDEV.P(h355, h356, h357, h358, h359, h360, h361, h362, h363, h364) =STDEV.P(i355, i356, i357, i358, i359, i360, i361, i362, i363, i364) =STDEV.P(j355, j356, j357, j358, j359, j360, j361, j362, j363, j364) =STDEV.P(k355, k356, k357, k358, k359, k360, k361, k362, k363, k364) =STDEV.P(l355, l356, l357, l358, l359, l360, l361, l362, l363, l364) =STDEV.P(m355, m356, m357, m358, m359, m360, m361, m362, m363, m364) =STDEV.P(n355, n356, n357, n358, n359, n360, n361, n362, n363, n364) =STDEV.P(o355, o356, o357, o358, o359, o360, o361, o362, o363, o364) =STDEV.P(p355, p356, p357, p358, p359, p360, p361, p362, p363, p364) =STDEV.P(q355, q356, q357, q358, q359, q360, q361, q362, q363, q364) =STDEV.P(r355, r356, r357, r358, r359, r360, r361, r362, r363, r364) =STDEV.P(s355, s356, s357, s358, s359, s360, s361, s362, s363, s364) =STDEV.P(t355, t356, t357, t358, t359, t360, t361, t362, t363, t364) +=AVERAGE(a365, a366, a367, a368, a369, a370, a371, a372, a373, a374) =AVERAGE(b365, b366, b367, b368, b369, b370, b371, b372, b373, b374) =AVERAGE(c365, c366, c367, c368, c369, c370, c371, c372, c373, c374) =AVERAGE(d365, d366, d367, d368, d369, d370, d371, d372, d373, d374) =AVERAGE(e365, e366, e367, e368, e369, e370, e371, e372, e373, e374) =AVERAGE(f365, f366, f367, f368, f369, f370, f371, f372, f373, f374) =AVERAGE(g365, g366, g367, g368, g369, g370, g371, g372, g373, g374) =AVERAGE(h365, h366, h367, h368, h369, h370, h371, h372, h373, h374) =AVERAGE(i365, i366, i367, i368, i369, i370, i371, i372, i373, i374) =AVERAGE(j365, j366, j367, j368, j369, j370, j371, j372, j373, j374) =AVERAGE(k365, k366, k367, k368, k369, k370, k371, k372, k373, k374) =AVERAGE(l365, l366, l367, l368, l369, l370, l371, l372, l373, l374) =AVERAGE(m365, m366, m367, m368, m369, m370, m371, m372, m373, m374) =AVERAGE(n365, n366, n367, n368, n369, n370, n371, n372, n373, n374) =AVERAGE(o365, o366, o367, o368, o369, o370, o371, o372, o373, o374) =AVERAGE(p365, p366, p367, p368, p369, p370, p371, p372, p373, p374) =AVERAGE(q365, q366, q367, q368, q369, q370, q371, q372, q373, q374) =AVERAGE(r365, r366, r367, r368, r369, r370, r371, r372, r373, r374) =AVERAGE(s365, s366, s367, s368, s369, s370, s371, s372, s373, s374) =AVERAGE(t365, t366, t367, t368, t369, t370, t371, t372, t373, t374) =STDEV.P(a365, a366, a367, a368, a369, a370, a371, a372, a373, a374) =STDEV.P(b365, b366, b367, b368, b369, b370, b371, b372, b373, b374) =STDEV.P(c365, c366, c367, c368, c369, c370, c371, c372, c373, c374) =STDEV.P(d365, d366, d367, d368, d369, d370, d371, d372, d373, d374) =STDEV.P(e365, e366, e367, e368, e369, e370, e371, e372, e373, e374) =STDEV.P(f365, f366, f367, f368, f369, f370, f371, f372, f373, f374) =STDEV.P(g365, g366, g367, g368, g369, g370, g371, g372, g373, g374) =STDEV.P(h365, h366, h367, h368, h369, h370, h371, h372, h373, h374) =STDEV.P(i365, i366, i367, i368, i369, i370, i371, i372, i373, i374) =STDEV.P(j365, j366, j367, j368, j369, j370, j371, j372, j373, j374) =STDEV.P(k365, k366, k367, k368, k369, k370, k371, k372, k373, k374) =STDEV.P(l365, l366, l367, l368, l369, l370, l371, l372, l373, l374) =STDEV.P(m365, m366, m367, m368, m369, m370, m371, m372, m373, m374) =STDEV.P(n365, n366, n367, n368, n369, n370, n371, n372, n373, n374) =STDEV.P(o365, o366, o367, o368, o369, o370, o371, o372, o373, o374) =STDEV.P(p365, p366, p367, p368, p369, p370, p371, p372, p373, p374) =STDEV.P(q365, q366, q367, q368, q369, q370, q371, q372, q373, q374) =STDEV.P(r365, r366, r367, r368, r369, r370, r371, r372, r373, r374) =STDEV.P(s365, s366, s367, s368, s369, s370, s371, s372, s373, s374) =STDEV.P(t365, t366, t367, t368, t369, t370, t371, t372, t373, t374) +=AVERAGE(a375, a376, a377, a378, a379, a380, a381, a382, a383, a384) =AVERAGE(b375, b376, b377, b378, b379, b380, b381, b382, b383, b384) =AVERAGE(c375, c376, c377, c378, c379, c380, c381, c382, c383, c384) =AVERAGE(d375, d376, d377, d378, d379, d380, d381, d382, d383, d384) =AVERAGE(e375, e376, e377, e378, e379, e380, e381, e382, e383, e384) =AVERAGE(f375, f376, f377, f378, f379, f380, f381, f382, f383, f384) =AVERAGE(g375, g376, g377, g378, g379, g380, g381, g382, g383, g384) =AVERAGE(h375, h376, h377, h378, h379, h380, h381, h382, h383, h384) =AVERAGE(i375, i376, i377, i378, i379, i380, i381, i382, i383, i384) =AVERAGE(j375, j376, j377, j378, j379, j380, j381, j382, j383, j384) =AVERAGE(k375, k376, k377, k378, k379, k380, k381, k382, k383, k384) =AVERAGE(l375, l376, l377, l378, l379, l380, l381, l382, l383, l384) =AVERAGE(m375, m376, m377, m378, m379, m380, m381, m382, m383, m384) =AVERAGE(n375, n376, n377, n378, n379, n380, n381, n382, n383, n384) =AVERAGE(o375, o376, o377, o378, o379, o380, o381, o382, o383, o384) =AVERAGE(p375, p376, p377, p378, p379, p380, p381, p382, p383, p384) =AVERAGE(q375, q376, q377, q378, q379, q380, q381, q382, q383, q384) =AVERAGE(r375, r376, r377, r378, r379, r380, r381, r382, r383, r384) =AVERAGE(s375, s376, s377, s378, s379, s380, s381, s382, s383, s384) =AVERAGE(t375, t376, t377, t378, t379, t380, t381, t382, t383, t384) =STDEV.P(a375, a376, a377, a378, a379, a380, a381, a382, a383, a384) =STDEV.P(b375, b376, b377, b378, b379, b380, b381, b382, b383, b384) =STDEV.P(c375, c376, c377, c378, c379, c380, c381, c382, c383, c384) =STDEV.P(d375, d376, d377, d378, d379, d380, d381, d382, d383, d384) =STDEV.P(e375, e376, e377, e378, e379, e380, e381, e382, e383, e384) =STDEV.P(f375, f376, f377, f378, f379, f380, f381, f382, f383, f384) =STDEV.P(g375, g376, g377, g378, g379, g380, g381, g382, g383, g384) =STDEV.P(h375, h376, h377, h378, h379, h380, h381, h382, h383, h384) =STDEV.P(i375, i376, i377, i378, i379, i380, i381, i382, i383, i384) =STDEV.P(j375, j376, j377, j378, j379, j380, j381, j382, j383, j384) =STDEV.P(k375, k376, k377, k378, k379, k380, k381, k382, k383, k384) =STDEV.P(l375, l376, l377, l378, l379, l380, l381, l382, l383, l384) =STDEV.P(m375, m376, m377, m378, m379, m380, m381, m382, m383, m384) =STDEV.P(n375, n376, n377, n378, n379, n380, n381, n382, n383, n384) =STDEV.P(o375, o376, o377, o378, o379, o380, o381, o382, o383, o384) =STDEV.P(p375, p376, p377, p378, p379, p380, p381, p382, p383, p384) =STDEV.P(q375, q376, q377, q378, q379, q380, q381, q382, q383, q384) =STDEV.P(r375, r376, r377, r378, r379, r380, r381, r382, r383, r384) =STDEV.P(s375, s376, s377, s378, s379, s380, s381, s382, s383, s384) =STDEV.P(t375, t376, t377, t378, t379, t380, t381, t382, t383, t384) +=AVERAGE(a385, a386, a387, a388, a389, a390, a391, a392, a393, a394) =AVERAGE(b385, b386, b387, b388, b389, b390, b391, b392, b393, b394) =AVERAGE(c385, c386, c387, c388, c389, c390, c391, c392, c393, c394) =AVERAGE(d385, d386, d387, d388, d389, d390, d391, d392, d393, d394) =AVERAGE(e385, e386, e387, e388, e389, e390, e391, e392, e393, e394) =AVERAGE(f385, f386, f387, f388, f389, f390, f391, f392, f393, f394) =AVERAGE(g385, g386, g387, g388, g389, g390, g391, g392, g393, g394) =AVERAGE(h385, h386, h387, h388, h389, h390, h391, h392, h393, h394) =AVERAGE(i385, i386, i387, i388, i389, i390, i391, i392, i393, i394) =AVERAGE(j385, j386, j387, j388, j389, j390, j391, j392, j393, j394) =AVERAGE(k385, k386, k387, k388, k389, k390, k391, k392, k393, k394) =AVERAGE(l385, l386, l387, l388, l389, l390, l391, l392, l393, l394) =AVERAGE(m385, m386, m387, m388, m389, m390, m391, m392, m393, m394) =AVERAGE(n385, n386, n387, n388, n389, n390, n391, n392, n393, n394) =AVERAGE(o385, o386, o387, o388, o389, o390, o391, o392, o393, o394) =AVERAGE(p385, p386, p387, p388, p389, p390, p391, p392, p393, p394) =AVERAGE(q385, q386, q387, q388, q389, q390, q391, q392, q393, q394) =AVERAGE(r385, r386, r387, r388, r389, r390, r391, r392, r393, r394) =AVERAGE(s385, s386, s387, s388, s389, s390, s391, s392, s393, s394) =AVERAGE(t385, t386, t387, t388, t389, t390, t391, t392, t393, t394) =STDEV.P(a385, a386, a387, a388, a389, a390, a391, a392, a393, a394) =STDEV.P(b385, b386, b387, b388, b389, b390, b391, b392, b393, b394) =STDEV.P(c385, c386, c387, c388, c389, c390, c391, c392, c393, c394) =STDEV.P(d385, d386, d387, d388, d389, d390, d391, d392, d393, d394) =STDEV.P(e385, e386, e387, e388, e389, e390, e391, e392, e393, e394) =STDEV.P(f385, f386, f387, f388, f389, f390, f391, f392, f393, f394) =STDEV.P(g385, g386, g387, g388, g389, g390, g391, g392, g393, g394) =STDEV.P(h385, h386, h387, h388, h389, h390, h391, h392, h393, h394) =STDEV.P(i385, i386, i387, i388, i389, i390, i391, i392, i393, i394) =STDEV.P(j385, j386, j387, j388, j389, j390, j391, j392, j393, j394) =STDEV.P(k385, k386, k387, k388, k389, k390, k391, k392, k393, k394) =STDEV.P(l385, l386, l387, l388, l389, l390, l391, l392, l393, l394) =STDEV.P(m385, m386, m387, m388, m389, m390, m391, m392, m393, m394) =STDEV.P(n385, n386, n387, n388, n389, n390, n391, n392, n393, n394) =STDEV.P(o385, o386, o387, o388, o389, o390, o391, o392, o393, o394) =STDEV.P(p385, p386, p387, p388, p389, p390, p391, p392, p393, p394) =STDEV.P(q385, q386, q387, q388, q389, q390, q391, q392, q393, q394) =STDEV.P(r385, r386, r387, r388, r389, r390, r391, r392, r393, r394) =STDEV.P(s385, s386, s387, s388, s389, s390, s391, s392, s393, s394) =STDEV.P(t385, t386, t387, t388, t389, t390, t391, t392, t393, t394) +=AVERAGE(a395, a396, a397, a398, a399, a400, a401, a402, a403, a404) =AVERAGE(b395, b396, b397, b398, b399, b400, b401, b402, b403, b404) =AVERAGE(c395, c396, c397, c398, c399, c400, c401, c402, c403, c404) =AVERAGE(d395, d396, d397, d398, d399, d400, d401, d402, d403, d404) =AVERAGE(e395, e396, e397, e398, e399, e400, e401, e402, e403, e404) =AVERAGE(f395, f396, f397, f398, f399, f400, f401, f402, f403, f404) =AVERAGE(g395, g396, g397, g398, g399, g400, g401, g402, g403, g404) =AVERAGE(h395, h396, h397, h398, h399, h400, h401, h402, h403, h404) =AVERAGE(i395, i396, i397, i398, i399, i400, i401, i402, i403, i404) =AVERAGE(j395, j396, j397, j398, j399, j400, j401, j402, j403, j404) =AVERAGE(k395, k396, k397, k398, k399, k400, k401, k402, k403, k404) =AVERAGE(l395, l396, l397, l398, l399, l400, l401, l402, l403, l404) =AVERAGE(m395, m396, m397, m398, m399, m400, m401, m402, m403, m404) =AVERAGE(n395, n396, n397, n398, n399, n400, n401, n402, n403, n404) =AVERAGE(o395, o396, o397, o398, o399, o400, o401, o402, o403, o404) =AVERAGE(p395, p396, p397, p398, p399, p400, p401, p402, p403, p404) =AVERAGE(q395, q396, q397, q398, q399, q400, q401, q402, q403, q404) =AVERAGE(r395, r396, r397, r398, r399, r400, r401, r402, r403, r404) =AVERAGE(s395, s396, s397, s398, s399, s400, s401, s402, s403, s404) =AVERAGE(t395, t396, t397, t398, t399, t400, t401, t402, t403, t404) =STDEV.P(a395, a396, a397, a398, a399, a400, a401, a402, a403, a404) =STDEV.P(b395, b396, b397, b398, b399, b400, b401, b402, b403, b404) =STDEV.P(c395, c396, c397, c398, c399, c400, c401, c402, c403, c404) =STDEV.P(d395, d396, d397, d398, d399, d400, d401, d402, d403, d404) =STDEV.P(e395, e396, e397, e398, e399, e400, e401, e402, e403, e404) =STDEV.P(f395, f396, f397, f398, f399, f400, f401, f402, f403, f404) =STDEV.P(g395, g396, g397, g398, g399, g400, g401, g402, g403, g404) =STDEV.P(h395, h396, h397, h398, h399, h400, h401, h402, h403, h404) =STDEV.P(i395, i396, i397, i398, i399, i400, i401, i402, i403, i404) =STDEV.P(j395, j396, j397, j398, j399, j400, j401, j402, j403, j404) =STDEV.P(k395, k396, k397, k398, k399, k400, k401, k402, k403, k404) =STDEV.P(l395, l396, l397, l398, l399, l400, l401, l402, l403, l404) =STDEV.P(m395, m396, m397, m398, m399, m400, m401, m402, m403, m404) =STDEV.P(n395, n396, n397, n398, n399, n400, n401, n402, n403, n404) =STDEV.P(o395, o396, o397, o398, o399, o400, o401, o402, o403, o404) =STDEV.P(p395, p396, p397, p398, p399, p400, p401, p402, p403, p404) =STDEV.P(q395, q396, q397, q398, q399, q400, q401, q402, q403, q404) =STDEV.P(r395, r396, r397, r398, r399, r400, r401, r402, r403, r404) =STDEV.P(s395, s396, s397, s398, s399, s400, s401, s402, s403, s404) =STDEV.P(t395, t396, t397, t398, t399, t400, t401, t402, t403, t404) +=AVERAGE(a405, a406, a407, a408, a409, a410, a411, a412, a413, a414) =AVERAGE(b405, b406, b407, b408, b409, b410, b411, b412, b413, b414) =AVERAGE(c405, c406, c407, c408, c409, c410, c411, c412, c413, c414) =AVERAGE(d405, d406, d407, d408, d409, d410, d411, d412, d413, d414) =AVERAGE(e405, e406, e407, e408, e409, e410, e411, e412, e413, e414) =AVERAGE(f405, f406, f407, f408, f409, f410, f411, f412, f413, f414) =AVERAGE(g405, g406, g407, g408, g409, g410, g411, g412, g413, g414) =AVERAGE(h405, h406, h407, h408, h409, h410, h411, h412, h413, h414) =AVERAGE(i405, i406, i407, i408, i409, i410, i411, i412, i413, i414) =AVERAGE(j405, j406, j407, j408, j409, j410, j411, j412, j413, j414) =AVERAGE(k405, k406, k407, k408, k409, k410, k411, k412, k413, k414) =AVERAGE(l405, l406, l407, l408, l409, l410, l411, l412, l413, l414) =AVERAGE(m405, m406, m407, m408, m409, m410, m411, m412, m413, m414) =AVERAGE(n405, n406, n407, n408, n409, n410, n411, n412, n413, n414) =AVERAGE(o405, o406, o407, o408, o409, o410, o411, o412, o413, o414) =AVERAGE(p405, p406, p407, p408, p409, p410, p411, p412, p413, p414) =AVERAGE(q405, q406, q407, q408, q409, q410, q411, q412, q413, q414) =AVERAGE(r405, r406, r407, r408, r409, r410, r411, r412, r413, r414) =AVERAGE(s405, s406, s407, s408, s409, s410, s411, s412, s413, s414) =AVERAGE(t405, t406, t407, t408, t409, t410, t411, t412, t413, t414) =STDEV.P(a405, a406, a407, a408, a409, a410, a411, a412, a413, a414) =STDEV.P(b405, b406, b407, b408, b409, b410, b411, b412, b413, b414) =STDEV.P(c405, c406, c407, c408, c409, c410, c411, c412, c413, c414) =STDEV.P(d405, d406, d407, d408, d409, d410, d411, d412, d413, d414) =STDEV.P(e405, e406, e407, e408, e409, e410, e411, e412, e413, e414) =STDEV.P(f405, f406, f407, f408, f409, f410, f411, f412, f413, f414) =STDEV.P(g405, g406, g407, g408, g409, g410, g411, g412, g413, g414) =STDEV.P(h405, h406, h407, h408, h409, h410, h411, h412, h413, h414) =STDEV.P(i405, i406, i407, i408, i409, i410, i411, i412, i413, i414) =STDEV.P(j405, j406, j407, j408, j409, j410, j411, j412, j413, j414) =STDEV.P(k405, k406, k407, k408, k409, k410, k411, k412, k413, k414) =STDEV.P(l405, l406, l407, l408, l409, l410, l411, l412, l413, l414) =STDEV.P(m405, m406, m407, m408, m409, m410, m411, m412, m413, m414) =STDEV.P(n405, n406, n407, n408, n409, n410, n411, n412, n413, n414) =STDEV.P(o405, o406, o407, o408, o409, o410, o411, o412, o413, o414) =STDEV.P(p405, p406, p407, p408, p409, p410, p411, p412, p413, p414) =STDEV.P(q405, q406, q407, q408, q409, q410, q411, q412, q413, q414) =STDEV.P(r405, r406, r407, r408, r409, r410, r411, r412, r413, r414) =STDEV.P(s405, s406, s407, s408, s409, s410, s411, s412, s413, s414) =STDEV.P(t405, t406, t407, t408, t409, t410, t411, t412, t413, t414) +=AVERAGE(a415, a416, a417, a418, a419, a420, a421, a422, a423, a424) =AVERAGE(b415, b416, b417, b418, b419, b420, b421, b422, b423, b424) =AVERAGE(c415, c416, c417, c418, c419, c420, c421, c422, c423, c424) =AVERAGE(d415, d416, d417, d418, d419, d420, d421, d422, d423, d424) =AVERAGE(e415, e416, e417, e418, e419, e420, e421, e422, e423, e424) =AVERAGE(f415, f416, f417, f418, f419, f420, f421, f422, f423, f424) =AVERAGE(g415, g416, g417, g418, g419, g420, g421, g422, g423, g424) =AVERAGE(h415, h416, h417, h418, h419, h420, h421, h422, h423, h424) =AVERAGE(i415, i416, i417, i418, i419, i420, i421, i422, i423, i424) =AVERAGE(j415, j416, j417, j418, j419, j420, j421, j422, j423, j424) =AVERAGE(k415, k416, k417, k418, k419, k420, k421, k422, k423, k424) =AVERAGE(l415, l416, l417, l418, l419, l420, l421, l422, l423, l424) =AVERAGE(m415, m416, m417, m418, m419, m420, m421, m422, m423, m424) =AVERAGE(n415, n416, n417, n418, n419, n420, n421, n422, n423, n424) =AVERAGE(o415, o416, o417, o418, o419, o420, o421, o422, o423, o424) =AVERAGE(p415, p416, p417, p418, p419, p420, p421, p422, p423, p424) =AVERAGE(q415, q416, q417, q418, q419, q420, q421, q422, q423, q424) =AVERAGE(r415, r416, r417, r418, r419, r420, r421, r422, r423, r424) =AVERAGE(s415, s416, s417, s418, s419, s420, s421, s422, s423, s424) =AVERAGE(t415, t416, t417, t418, t419, t420, t421, t422, t423, t424) =STDEV.P(a415, a416, a417, a418, a419, a420, a421, a422, a423, a424) =STDEV.P(b415, b416, b417, b418, b419, b420, b421, b422, b423, b424) =STDEV.P(c415, c416, c417, c418, c419, c420, c421, c422, c423, c424) =STDEV.P(d415, d416, d417, d418, d419, d420, d421, d422, d423, d424) =STDEV.P(e415, e416, e417, e418, e419, e420, e421, e422, e423, e424) =STDEV.P(f415, f416, f417, f418, f419, f420, f421, f422, f423, f424) =STDEV.P(g415, g416, g417, g418, g419, g420, g421, g422, g423, g424) =STDEV.P(h415, h416, h417, h418, h419, h420, h421, h422, h423, h424) =STDEV.P(i415, i416, i417, i418, i419, i420, i421, i422, i423, i424) =STDEV.P(j415, j416, j417, j418, j419, j420, j421, j422, j423, j424) =STDEV.P(k415, k416, k417, k418, k419, k420, k421, k422, k423, k424) =STDEV.P(l415, l416, l417, l418, l419, l420, l421, l422, l423, l424) =STDEV.P(m415, m416, m417, m418, m419, m420, m421, m422, m423, m424) =STDEV.P(n415, n416, n417, n418, n419, n420, n421, n422, n423, n424) =STDEV.P(o415, o416, o417, o418, o419, o420, o421, o422, o423, o424) =STDEV.P(p415, p416, p417, p418, p419, p420, p421, p422, p423, p424) =STDEV.P(q415, q416, q417, q418, q419, q420, q421, q422, q423, q424) =STDEV.P(r415, r416, r417, r418, r419, r420, r421, r422, r423, r424) =STDEV.P(s415, s416, s417, s418, s419, s420, s421, s422, s423, s424) =STDEV.P(t415, t416, t417, t418, t419, t420, t421, t422, t423, t424) +=AVERAGE(a425, a426, a427, a428, a429, a430, a431, a432, a433, a434) =AVERAGE(b425, b426, b427, b428, b429, b430, b431, b432, b433, b434) =AVERAGE(c425, c426, c427, c428, c429, c430, c431, c432, c433, c434) =AVERAGE(d425, d426, d427, d428, d429, d430, d431, d432, d433, d434) =AVERAGE(e425, e426, e427, e428, e429, e430, e431, e432, e433, e434) =AVERAGE(f425, f426, f427, f428, f429, f430, f431, f432, f433, f434) =AVERAGE(g425, g426, g427, g428, g429, g430, g431, g432, g433, g434) =AVERAGE(h425, h426, h427, h428, h429, h430, h431, h432, h433, h434) =AVERAGE(i425, i426, i427, i428, i429, i430, i431, i432, i433, i434) =AVERAGE(j425, j426, j427, j428, j429, j430, j431, j432, j433, j434) =AVERAGE(k425, k426, k427, k428, k429, k430, k431, k432, k433, k434) =AVERAGE(l425, l426, l427, l428, l429, l430, l431, l432, l433, l434) =AVERAGE(m425, m426, m427, m428, m429, m430, m431, m432, m433, m434) =AVERAGE(n425, n426, n427, n428, n429, n430, n431, n432, n433, n434) =AVERAGE(o425, o426, o427, o428, o429, o430, o431, o432, o433, o434) =AVERAGE(p425, p426, p427, p428, p429, p430, p431, p432, p433, p434) =AVERAGE(q425, q426, q427, q428, q429, q430, q431, q432, q433, q434) =AVERAGE(r425, r426, r427, r428, r429, r430, r431, r432, r433, r434) =AVERAGE(s425, s426, s427, s428, s429, s430, s431, s432, s433, s434) =AVERAGE(t425, t426, t427, t428, t429, t430, t431, t432, t433, t434) =STDEV.P(a425, a426, a427, a428, a429, a430, a431, a432, a433, a434) =STDEV.P(b425, b426, b427, b428, b429, b430, b431, b432, b433, b434) =STDEV.P(c425, c426, c427, c428, c429, c430, c431, c432, c433, c434) =STDEV.P(d425, d426, d427, d428, d429, d430, d431, d432, d433, d434) =STDEV.P(e425, e426, e427, e428, e429, e430, e431, e432, e433, e434) =STDEV.P(f425, f426, f427, f428, f429, f430, f431, f432, f433, f434) =STDEV.P(g425, g426, g427, g428, g429, g430, g431, g432, g433, g434) =STDEV.P(h425, h426, h427, h428, h429, h430, h431, h432, h433, h434) =STDEV.P(i425, i426, i427, i428, i429, i430, i431, i432, i433, i434) =STDEV.P(j425, j426, j427, j428, j429, j430, j431, j432, j433, j434) =STDEV.P(k425, k426, k427, k428, k429, k430, k431, k432, k433, k434) =STDEV.P(l425, l426, l427, l428, l429, l430, l431, l432, l433, l434) =STDEV.P(m425, m426, m427, m428, m429, m430, m431, m432, m433, m434) =STDEV.P(n425, n426, n427, n428, n429, n430, n431, n432, n433, n434) =STDEV.P(o425, o426, o427, o428, o429, o430, o431, o432, o433, o434) =STDEV.P(p425, p426, p427, p428, p429, p430, p431, p432, p433, p434) =STDEV.P(q425, q426, q427, q428, q429, q430, q431, q432, q433, q434) =STDEV.P(r425, r426, r427, r428, r429, r430, r431, r432, r433, r434) =STDEV.P(s425, s426, s427, s428, s429, s430, s431, s432, s433, s434) =STDEV.P(t425, t426, t427, t428, t429, t430, t431, t432, t433, t434) +=AVERAGE(a435, a436, a437, a438, a439, a440, a441, a442, a443, a444) =AVERAGE(b435, b436, b437, b438, b439, b440, b441, b442, b443, b444) =AVERAGE(c435, c436, c437, c438, c439, c440, c441, c442, c443, c444) =AVERAGE(d435, d436, d437, d438, d439, d440, d441, d442, d443, d444) =AVERAGE(e435, e436, e437, e438, e439, e440, e441, e442, e443, e444) =AVERAGE(f435, f436, f437, f438, f439, f440, f441, f442, f443, f444) =AVERAGE(g435, g436, g437, g438, g439, g440, g441, g442, g443, g444) =AVERAGE(h435, h436, h437, h438, h439, h440, h441, h442, h443, h444) =AVERAGE(i435, i436, i437, i438, i439, i440, i441, i442, i443, i444) =AVERAGE(j435, j436, j437, j438, j439, j440, j441, j442, j443, j444) =AVERAGE(k435, k436, k437, k438, k439, k440, k441, k442, k443, k444) =AVERAGE(l435, l436, l437, l438, l439, l440, l441, l442, l443, l444) =AVERAGE(m435, m436, m437, m438, m439, m440, m441, m442, m443, m444) =AVERAGE(n435, n436, n437, n438, n439, n440, n441, n442, n443, n444) =AVERAGE(o435, o436, o437, o438, o439, o440, o441, o442, o443, o444) =AVERAGE(p435, p436, p437, p438, p439, p440, p441, p442, p443, p444) =AVERAGE(q435, q436, q437, q438, q439, q440, q441, q442, q443, q444) =AVERAGE(r435, r436, r437, r438, r439, r440, r441, r442, r443, r444) =AVERAGE(s435, s436, s437, s438, s439, s440, s441, s442, s443, s444) =AVERAGE(t435, t436, t437, t438, t439, t440, t441, t442, t443, t444) =STDEV.P(a435, a436, a437, a438, a439, a440, a441, a442, a443, a444) =STDEV.P(b435, b436, b437, b438, b439, b440, b441, b442, b443, b444) =STDEV.P(c435, c436, c437, c438, c439, c440, c441, c442, c443, c444) =STDEV.P(d435, d436, d437, d438, d439, d440, d441, d442, d443, d444) =STDEV.P(e435, e436, e437, e438, e439, e440, e441, e442, e443, e444) =STDEV.P(f435, f436, f437, f438, f439, f440, f441, f442, f443, f444) =STDEV.P(g435, g436, g437, g438, g439, g440, g441, g442, g443, g444) =STDEV.P(h435, h436, h437, h438, h439, h440, h441, h442, h443, h444) =STDEV.P(i435, i436, i437, i438, i439, i440, i441, i442, i443, i444) =STDEV.P(j435, j436, j437, j438, j439, j440, j441, j442, j443, j444) =STDEV.P(k435, k436, k437, k438, k439, k440, k441, k442, k443, k444) =STDEV.P(l435, l436, l437, l438, l439, l440, l441, l442, l443, l444) =STDEV.P(m435, m436, m437, m438, m439, m440, m441, m442, m443, m444) =STDEV.P(n435, n436, n437, n438, n439, n440, n441, n442, n443, n444) =STDEV.P(o435, o436, o437, o438, o439, o440, o441, o442, o443, o444) =STDEV.P(p435, p436, p437, p438, p439, p440, p441, p442, p443, p444) =STDEV.P(q435, q436, q437, q438, q439, q440, q441, q442, q443, q444) =STDEV.P(r435, r436, r437, r438, r439, r440, r441, r442, r443, r444) =STDEV.P(s435, s436, s437, s438, s439, s440, s441, s442, s443, s444) =STDEV.P(t435, t436, t437, t438, t439, t440, t441, t442, t443, t444) +=AVERAGE(a445, a446, a447, a448, a449, a450, a451, a452, a453, a454) =AVERAGE(b445, b446, b447, b448, b449, b450, b451, b452, b453, b454) =AVERAGE(c445, c446, c447, c448, c449, c450, c451, c452, c453, c454) =AVERAGE(d445, d446, d447, d448, d449, d450, d451, d452, d453, d454) =AVERAGE(e445, e446, e447, e448, e449, e450, e451, e452, e453, e454) =AVERAGE(f445, f446, f447, f448, f449, f450, f451, f452, f453, f454) =AVERAGE(g445, g446, g447, g448, g449, g450, g451, g452, g453, g454) =AVERAGE(h445, h446, h447, h448, h449, h450, h451, h452, h453, h454) =AVERAGE(i445, i446, i447, i448, i449, i450, i451, i452, i453, i454) =AVERAGE(j445, j446, j447, j448, j449, j450, j451, j452, j453, j454) =AVERAGE(k445, k446, k447, k448, k449, k450, k451, k452, k453, k454) =AVERAGE(l445, l446, l447, l448, l449, l450, l451, l452, l453, l454) =AVERAGE(m445, m446, m447, m448, m449, m450, m451, m452, m453, m454) =AVERAGE(n445, n446, n447, n448, n449, n450, n451, n452, n453, n454) =AVERAGE(o445, o446, o447, o448, o449, o450, o451, o452, o453, o454) =AVERAGE(p445, p446, p447, p448, p449, p450, p451, p452, p453, p454) =AVERAGE(q445, q446, q447, q448, q449, q450, q451, q452, q453, q454) =AVERAGE(r445, r446, r447, r448, r449, r450, r451, r452, r453, r454) =AVERAGE(s445, s446, s447, s448, s449, s450, s451, s452, s453, s454) =AVERAGE(t445, t446, t447, t448, t449, t450, t451, t452, t453, t454) =STDEV.P(a445, a446, a447, a448, a449, a450, a451, a452, a453, a454) =STDEV.P(b445, b446, b447, b448, b449, b450, b451, b452, b453, b454) =STDEV.P(c445, c446, c447, c448, c449, c450, c451, c452, c453, c454) =STDEV.P(d445, d446, d447, d448, d449, d450, d451, d452, d453, d454) =STDEV.P(e445, e446, e447, e448, e449, e450, e451, e452, e453, e454) =STDEV.P(f445, f446, f447, f448, f449, f450, f451, f452, f453, f454) =STDEV.P(g445, g446, g447, g448, g449, g450, g451, g452, g453, g454) =STDEV.P(h445, h446, h447, h448, h449, h450, h451, h452, h453, h454) =STDEV.P(i445, i446, i447, i448, i449, i450, i451, i452, i453, i454) =STDEV.P(j445, j446, j447, j448, j449, j450, j451, j452, j453, j454) =STDEV.P(k445, k446, k447, k448, k449, k450, k451, k452, k453, k454) =STDEV.P(l445, l446, l447, l448, l449, l450, l451, l452, l453, l454) =STDEV.P(m445, m446, m447, m448, m449, m450, m451, m452, m453, m454) =STDEV.P(n445, n446, n447, n448, n449, n450, n451, n452, n453, n454) =STDEV.P(o445, o446, o447, o448, o449, o450, o451, o452, o453, o454) =STDEV.P(p445, p446, p447, p448, p449, p450, p451, p452, p453, p454) =STDEV.P(q445, q446, q447, q448, q449, q450, q451, q452, q453, q454) =STDEV.P(r445, r446, r447, r448, r449, r450, r451, r452, r453, r454) =STDEV.P(s445, s446, s447, s448, s449, s450, s451, s452, s453, s454) =STDEV.P(t445, t446, t447, t448, t449, t450, t451, t452, t453, t454) +=AVERAGE(a455, a456, a457, a458, a459, a460, a461, a462, a463, a464) =AVERAGE(b455, b456, b457, b458, b459, b460, b461, b462, b463, b464) =AVERAGE(c455, c456, c457, c458, c459, c460, c461, c462, c463, c464) =AVERAGE(d455, d456, d457, d458, d459, d460, d461, d462, d463, d464) =AVERAGE(e455, e456, e457, e458, e459, e460, e461, e462, e463, e464) =AVERAGE(f455, f456, f457, f458, f459, f460, f461, f462, f463, f464) =AVERAGE(g455, g456, g457, g458, g459, g460, g461, g462, g463, g464) =AVERAGE(h455, h456, h457, h458, h459, h460, h461, h462, h463, h464) =AVERAGE(i455, i456, i457, i458, i459, i460, i461, i462, i463, i464) =AVERAGE(j455, j456, j457, j458, j459, j460, j461, j462, j463, j464) =AVERAGE(k455, k456, k457, k458, k459, k460, k461, k462, k463, k464) =AVERAGE(l455, l456, l457, l458, l459, l460, l461, l462, l463, l464) =AVERAGE(m455, m456, m457, m458, m459, m460, m461, m462, m463, m464) =AVERAGE(n455, n456, n457, n458, n459, n460, n461, n462, n463, n464) =AVERAGE(o455, o456, o457, o458, o459, o460, o461, o462, o463, o464) =AVERAGE(p455, p456, p457, p458, p459, p460, p461, p462, p463, p464) =AVERAGE(q455, q456, q457, q458, q459, q460, q461, q462, q463, q464) =AVERAGE(r455, r456, r457, r458, r459, r460, r461, r462, r463, r464) =AVERAGE(s455, s456, s457, s458, s459, s460, s461, s462, s463, s464) =AVERAGE(t455, t456, t457, t458, t459, t460, t461, t462, t463, t464) =STDEV.P(a455, a456, a457, a458, a459, a460, a461, a462, a463, a464) =STDEV.P(b455, b456, b457, b458, b459, b460, b461, b462, b463, b464) =STDEV.P(c455, c456, c457, c458, c459, c460, c461, c462, c463, c464) =STDEV.P(d455, d456, d457, d458, d459, d460, d461, d462, d463, d464) =STDEV.P(e455, e456, e457, e458, e459, e460, e461, e462, e463, e464) =STDEV.P(f455, f456, f457, f458, f459, f460, f461, f462, f463, f464) =STDEV.P(g455, g456, g457, g458, g459, g460, g461, g462, g463, g464) =STDEV.P(h455, h456, h457, h458, h459, h460, h461, h462, h463, h464) =STDEV.P(i455, i456, i457, i458, i459, i460, i461, i462, i463, i464) =STDEV.P(j455, j456, j457, j458, j459, j460, j461, j462, j463, j464) =STDEV.P(k455, k456, k457, k458, k459, k460, k461, k462, k463, k464) =STDEV.P(l455, l456, l457, l458, l459, l460, l461, l462, l463, l464) =STDEV.P(m455, m456, m457, m458, m459, m460, m461, m462, m463, m464) =STDEV.P(n455, n456, n457, n458, n459, n460, n461, n462, n463, n464) =STDEV.P(o455, o456, o457, o458, o459, o460, o461, o462, o463, o464) =STDEV.P(p455, p456, p457, p458, p459, p460, p461, p462, p463, p464) =STDEV.P(q455, q456, q457, q458, q459, q460, q461, q462, q463, q464) =STDEV.P(r455, r456, r457, r458, r459, r460, r461, r462, r463, r464) =STDEV.P(s455, s456, s457, s458, s459, s460, s461, s462, s463, s464) =STDEV.P(t455, t456, t457, t458, t459, t460, t461, t462, t463, t464) +=AVERAGE(a465, a466, a467, a468, a469, a470, a471, a472, a473, a474) =AVERAGE(b465, b466, b467, b468, b469, b470, b471, b472, b473, b474) =AVERAGE(c465, c466, c467, c468, c469, c470, c471, c472, c473, c474) =AVERAGE(d465, d466, d467, d468, d469, d470, d471, d472, d473, d474) =AVERAGE(e465, e466, e467, e468, e469, e470, e471, e472, e473, e474) =AVERAGE(f465, f466, f467, f468, f469, f470, f471, f472, f473, f474) =AVERAGE(g465, g466, g467, g468, g469, g470, g471, g472, g473, g474) =AVERAGE(h465, h466, h467, h468, h469, h470, h471, h472, h473, h474) =AVERAGE(i465, i466, i467, i468, i469, i470, i471, i472, i473, i474) =AVERAGE(j465, j466, j467, j468, j469, j470, j471, j472, j473, j474) =AVERAGE(k465, k466, k467, k468, k469, k470, k471, k472, k473, k474) =AVERAGE(l465, l466, l467, l468, l469, l470, l471, l472, l473, l474) =AVERAGE(m465, m466, m467, m468, m469, m470, m471, m472, m473, m474) =AVERAGE(n465, n466, n467, n468, n469, n470, n471, n472, n473, n474) =AVERAGE(o465, o466, o467, o468, o469, o470, o471, o472, o473, o474) =AVERAGE(p465, p466, p467, p468, p469, p470, p471, p472, p473, p474) =AVERAGE(q465, q466, q467, q468, q469, q470, q471, q472, q473, q474) =AVERAGE(r465, r466, r467, r468, r469, r470, r471, r472, r473, r474) =AVERAGE(s465, s466, s467, s468, s469, s470, s471, s472, s473, s474) =AVERAGE(t465, t466, t467, t468, t469, t470, t471, t472, t473, t474) =STDEV.P(a465, a466, a467, a468, a469, a470, a471, a472, a473, a474) =STDEV.P(b465, b466, b467, b468, b469, b470, b471, b472, b473, b474) =STDEV.P(c465, c466, c467, c468, c469, c470, c471, c472, c473, c474) =STDEV.P(d465, d466, d467, d468, d469, d470, d471, d472, d473, d474) =STDEV.P(e465, e466, e467, e468, e469, e470, e471, e472, e473, e474) =STDEV.P(f465, f466, f467, f468, f469, f470, f471, f472, f473, f474) =STDEV.P(g465, g466, g467, g468, g469, g470, g471, g472, g473, g474) =STDEV.P(h465, h466, h467, h468, h469, h470, h471, h472, h473, h474) =STDEV.P(i465, i466, i467, i468, i469, i470, i471, i472, i473, i474) =STDEV.P(j465, j466, j467, j468, j469, j470, j471, j472, j473, j474) =STDEV.P(k465, k466, k467, k468, k469, k470, k471, k472, k473, k474) =STDEV.P(l465, l466, l467, l468, l469, l470, l471, l472, l473, l474) =STDEV.P(m465, m466, m467, m468, m469, m470, m471, m472, m473, m474) =STDEV.P(n465, n466, n467, n468, n469, n470, n471, n472, n473, n474) =STDEV.P(o465, o466, o467, o468, o469, o470, o471, o472, o473, o474) =STDEV.P(p465, p466, p467, p468, p469, p470, p471, p472, p473, p474) =STDEV.P(q465, q466, q467, q468, q469, q470, q471, q472, q473, q474) =STDEV.P(r465, r466, r467, r468, r469, r470, r471, r472, r473, r474) =STDEV.P(s465, s466, s467, s468, s469, s470, s471, s472, s473, s474) =STDEV.P(t465, t466, t467, t468, t469, t470, t471, t472, t473, t474) +=AVERAGE(a475, a476, a477, a478, a479, a480, a481, a482, a483, a484) =AVERAGE(b475, b476, b477, b478, b479, b480, b481, b482, b483, b484) =AVERAGE(c475, c476, c477, c478, c479, c480, c481, c482, c483, c484) =AVERAGE(d475, d476, d477, d478, d479, d480, d481, d482, d483, d484) =AVERAGE(e475, e476, e477, e478, e479, e480, e481, e482, e483, e484) =AVERAGE(f475, f476, f477, f478, f479, f480, f481, f482, f483, f484) =AVERAGE(g475, g476, g477, g478, g479, g480, g481, g482, g483, g484) =AVERAGE(h475, h476, h477, h478, h479, h480, h481, h482, h483, h484) =AVERAGE(i475, i476, i477, i478, i479, i480, i481, i482, i483, i484) =AVERAGE(j475, j476, j477, j478, j479, j480, j481, j482, j483, j484) =AVERAGE(k475, k476, k477, k478, k479, k480, k481, k482, k483, k484) =AVERAGE(l475, l476, l477, l478, l479, l480, l481, l482, l483, l484) =AVERAGE(m475, m476, m477, m478, m479, m480, m481, m482, m483, m484) =AVERAGE(n475, n476, n477, n478, n479, n480, n481, n482, n483, n484) =AVERAGE(o475, o476, o477, o478, o479, o480, o481, o482, o483, o484) =AVERAGE(p475, p476, p477, p478, p479, p480, p481, p482, p483, p484) =AVERAGE(q475, q476, q477, q478, q479, q480, q481, q482, q483, q484) =AVERAGE(r475, r476, r477, r478, r479, r480, r481, r482, r483, r484) =AVERAGE(s475, s476, s477, s478, s479, s480, s481, s482, s483, s484) =AVERAGE(t475, t476, t477, t478, t479, t480, t481, t482, t483, t484) =STDEV.P(a475, a476, a477, a478, a479, a480, a481, a482, a483, a484) =STDEV.P(b475, b476, b477, b478, b479, b480, b481, b482, b483, b484) =STDEV.P(c475, c476, c477, c478, c479, c480, c481, c482, c483, c484) =STDEV.P(d475, d476, d477, d478, d479, d480, d481, d482, d483, d484) =STDEV.P(e475, e476, e477, e478, e479, e480, e481, e482, e483, e484) =STDEV.P(f475, f476, f477, f478, f479, f480, f481, f482, f483, f484) =STDEV.P(g475, g476, g477, g478, g479, g480, g481, g482, g483, g484) =STDEV.P(h475, h476, h477, h478, h479, h480, h481, h482, h483, h484) =STDEV.P(i475, i476, i477, i478, i479, i480, i481, i482, i483, i484) =STDEV.P(j475, j476, j477, j478, j479, j480, j481, j482, j483, j484) =STDEV.P(k475, k476, k477, k478, k479, k480, k481, k482, k483, k484) =STDEV.P(l475, l476, l477, l478, l479, l480, l481, l482, l483, l484) =STDEV.P(m475, m476, m477, m478, m479, m480, m481, m482, m483, m484) =STDEV.P(n475, n476, n477, n478, n479, n480, n481, n482, n483, n484) =STDEV.P(o475, o476, o477, o478, o479, o480, o481, o482, o483, o484) =STDEV.P(p475, p476, p477, p478, p479, p480, p481, p482, p483, p484) =STDEV.P(q475, q476, q477, q478, q479, q480, q481, q482, q483, q484) =STDEV.P(r475, r476, r477, r478, r479, r480, r481, r482, r483, r484) =STDEV.P(s475, s476, s477, s478, s479, s480, s481, s482, s483, s484) =STDEV.P(t475, t476, t477, t478, t479, t480, t481, t482, t483, t484) +=AVERAGE(a485, a486, a487, a488, a489, a490, a491, a492, a493, a494) =AVERAGE(b485, b486, b487, b488, b489, b490, b491, b492, b493, b494) =AVERAGE(c485, c486, c487, c488, c489, c490, c491, c492, c493, c494) =AVERAGE(d485, d486, d487, d488, d489, d490, d491, d492, d493, d494) =AVERAGE(e485, e486, e487, e488, e489, e490, e491, e492, e493, e494) =AVERAGE(f485, f486, f487, f488, f489, f490, f491, f492, f493, f494) =AVERAGE(g485, g486, g487, g488, g489, g490, g491, g492, g493, g494) =AVERAGE(h485, h486, h487, h488, h489, h490, h491, h492, h493, h494) =AVERAGE(i485, i486, i487, i488, i489, i490, i491, i492, i493, i494) =AVERAGE(j485, j486, j487, j488, j489, j490, j491, j492, j493, j494) =AVERAGE(k485, k486, k487, k488, k489, k490, k491, k492, k493, k494) =AVERAGE(l485, l486, l487, l488, l489, l490, l491, l492, l493, l494) =AVERAGE(m485, m486, m487, m488, m489, m490, m491, m492, m493, m494) =AVERAGE(n485, n486, n487, n488, n489, n490, n491, n492, n493, n494) =AVERAGE(o485, o486, o487, o488, o489, o490, o491, o492, o493, o494) =AVERAGE(p485, p486, p487, p488, p489, p490, p491, p492, p493, p494) =AVERAGE(q485, q486, q487, q488, q489, q490, q491, q492, q493, q494) =AVERAGE(r485, r486, r487, r488, r489, r490, r491, r492, r493, r494) =AVERAGE(s485, s486, s487, s488, s489, s490, s491, s492, s493, s494) =AVERAGE(t485, t486, t487, t488, t489, t490, t491, t492, t493, t494) =STDEV.P(a485, a486, a487, a488, a489, a490, a491, a492, a493, a494) =STDEV.P(b485, b486, b487, b488, b489, b490, b491, b492, b493, b494) =STDEV.P(c485, c486, c487, c488, c489, c490, c491, c492, c493, c494) =STDEV.P(d485, d486, d487, d488, d489, d490, d491, d492, d493, d494) =STDEV.P(e485, e486, e487, e488, e489, e490, e491, e492, e493, e494) =STDEV.P(f485, f486, f487, f488, f489, f490, f491, f492, f493, f494) =STDEV.P(g485, g486, g487, g488, g489, g490, g491, g492, g493, g494) =STDEV.P(h485, h486, h487, h488, h489, h490, h491, h492, h493, h494) =STDEV.P(i485, i486, i487, i488, i489, i490, i491, i492, i493, i494) =STDEV.P(j485, j486, j487, j488, j489, j490, j491, j492, j493, j494) =STDEV.P(k485, k486, k487, k488, k489, k490, k491, k492, k493, k494) =STDEV.P(l485, l486, l487, l488, l489, l490, l491, l492, l493, l494) =STDEV.P(m485, m486, m487, m488, m489, m490, m491, m492, m493, m494) =STDEV.P(n485, n486, n487, n488, n489, n490, n491, n492, n493, n494) =STDEV.P(o485, o486, o487, o488, o489, o490, o491, o492, o493, o494) =STDEV.P(p485, p486, p487, p488, p489, p490, p491, p492, p493, p494) =STDEV.P(q485, q486, q487, q488, q489, q490, q491, q492, q493, q494) =STDEV.P(r485, r486, r487, r488, r489, r490, r491, r492, r493, r494) =STDEV.P(s485, s486, s487, s488, s489, s490, s491, s492, s493, s494) =STDEV.P(t485, t486, t487, t488, t489, t490, t491, t492, t493, t494) +=AVERAGE(a495, a496, a497, a498, a499, a500, a501, a502, a503, a504) =AVERAGE(b495, b496, b497, b498, b499, b500, b501, b502, b503, b504) =AVERAGE(c495, c496, c497, c498, c499, c500, c501, c502, c503, c504) =AVERAGE(d495, d496, d497, d498, d499, d500, d501, d502, d503, d504) =AVERAGE(e495, e496, e497, e498, e499, e500, e501, e502, e503, e504) =AVERAGE(f495, f496, f497, f498, f499, f500, f501, f502, f503, f504) =AVERAGE(g495, g496, g497, g498, g499, g500, g501, g502, g503, g504) =AVERAGE(h495, h496, h497, h498, h499, h500, h501, h502, h503, h504) =AVERAGE(i495, i496, i497, i498, i499, i500, i501, i502, i503, i504) =AVERAGE(j495, j496, j497, j498, j499, j500, j501, j502, j503, j504) =AVERAGE(k495, k496, k497, k498, k499, k500, k501, k502, k503, k504) =AVERAGE(l495, l496, l497, l498, l499, l500, l501, l502, l503, l504) =AVERAGE(m495, m496, m497, m498, m499, m500, m501, m502, m503, m504) =AVERAGE(n495, n496, n497, n498, n499, n500, n501, n502, n503, n504) =AVERAGE(o495, o496, o497, o498, o499, o500, o501, o502, o503, o504) =AVERAGE(p495, p496, p497, p498, p499, p500, p501, p502, p503, p504) =AVERAGE(q495, q496, q497, q498, q499, q500, q501, q502, q503, q504) =AVERAGE(r495, r496, r497, r498, r499, r500, r501, r502, r503, r504) =AVERAGE(s495, s496, s497, s498, s499, s500, s501, s502, s503, s504) =AVERAGE(t495, t496, t497, t498, t499, t500, t501, t502, t503, t504) =STDEV.P(a495, a496, a497, a498, a499, a500, a501, a502, a503, a504) =STDEV.P(b495, b496, b497, b498, b499, b500, b501, b502, b503, b504) =STDEV.P(c495, c496, c497, c498, c499, c500, c501, c502, c503, c504) =STDEV.P(d495, d496, d497, d498, d499, d500, d501, d502, d503, d504) =STDEV.P(e495, e496, e497, e498, e499, e500, e501, e502, e503, e504) =STDEV.P(f495, f496, f497, f498, f499, f500, f501, f502, f503, f504) =STDEV.P(g495, g496, g497, g498, g499, g500, g501, g502, g503, g504) =STDEV.P(h495, h496, h497, h498, h499, h500, h501, h502, h503, h504) =STDEV.P(i495, i496, i497, i498, i499, i500, i501, i502, i503, i504) =STDEV.P(j495, j496, j497, j498, j499, j500, j501, j502, j503, j504) =STDEV.P(k495, k496, k497, k498, k499, k500, k501, k502, k503, k504) =STDEV.P(l495, l496, l497, l498, l499, l500, l501, l502, l503, l504) =STDEV.P(m495, m496, m497, m498, m499, m500, m501, m502, m503, m504) =STDEV.P(n495, n496, n497, n498, n499, n500, n501, n502, n503, n504) =STDEV.P(o495, o496, o497, o498, o499, o500, o501, o502, o503, o504) =STDEV.P(p495, p496, p497, p498, p499, p500, p501, p502, p503, p504) =STDEV.P(q495, q496, q497, q498, q499, q500, q501, q502, q503, q504) =STDEV.P(r495, r496, r497, r498, r499, r500, r501, r502, r503, r504) =STDEV.P(s495, s496, s497, s498, s499, s500, s501, s502, s503, s504) =STDEV.P(t495, t496, t497, t498, t499, t500, t501, t502, t503, t504) +=AVERAGE(a505, a506, a507, a508, a509, a510, a511, a512, a513, a514) =AVERAGE(b505, b506, b507, b508, b509, b510, b511, b512, b513, b514) =AVERAGE(c505, c506, c507, c508, c509, c510, c511, c512, c513, c514) =AVERAGE(d505, d506, d507, d508, d509, d510, d511, d512, d513, d514) =AVERAGE(e505, e506, e507, e508, e509, e510, e511, e512, e513, e514) =AVERAGE(f505, f506, f507, f508, f509, f510, f511, f512, f513, f514) =AVERAGE(g505, g506, g507, g508, g509, g510, g511, g512, g513, g514) =AVERAGE(h505, h506, h507, h508, h509, h510, h511, h512, h513, h514) =AVERAGE(i505, i506, i507, i508, i509, i510, i511, i512, i513, i514) =AVERAGE(j505, j506, j507, j508, j509, j510, j511, j512, j513, j514) =AVERAGE(k505, k506, k507, k508, k509, k510, k511, k512, k513, k514) =AVERAGE(l505, l506, l507, l508, l509, l510, l511, l512, l513, l514) =AVERAGE(m505, m506, m507, m508, m509, m510, m511, m512, m513, m514) =AVERAGE(n505, n506, n507, n508, n509, n510, n511, n512, n513, n514) =AVERAGE(o505, o506, o507, o508, o509, o510, o511, o512, o513, o514) =AVERAGE(p505, p506, p507, p508, p509, p510, p511, p512, p513, p514) =AVERAGE(q505, q506, q507, q508, q509, q510, q511, q512, q513, q514) =AVERAGE(r505, r506, r507, r508, r509, r510, r511, r512, r513, r514) =AVERAGE(s505, s506, s507, s508, s509, s510, s511, s512, s513, s514) =AVERAGE(t505, t506, t507, t508, t509, t510, t511, t512, t513, t514) =STDEV.P(a505, a506, a507, a508, a509, a510, a511, a512, a513, a514) =STDEV.P(b505, b506, b507, b508, b509, b510, b511, b512, b513, b514) =STDEV.P(c505, c506, c507, c508, c509, c510, c511, c512, c513, c514) =STDEV.P(d505, d506, d507, d508, d509, d510, d511, d512, d513, d514) =STDEV.P(e505, e506, e507, e508, e509, e510, e511, e512, e513, e514) =STDEV.P(f505, f506, f507, f508, f509, f510, f511, f512, f513, f514) =STDEV.P(g505, g506, g507, g508, g509, g510, g511, g512, g513, g514) =STDEV.P(h505, h506, h507, h508, h509, h510, h511, h512, h513, h514) =STDEV.P(i505, i506, i507, i508, i509, i510, i511, i512, i513, i514) =STDEV.P(j505, j506, j507, j508, j509, j510, j511, j512, j513, j514) =STDEV.P(k505, k506, k507, k508, k509, k510, k511, k512, k513, k514) =STDEV.P(l505, l506, l507, l508, l509, l510, l511, l512, l513, l514) =STDEV.P(m505, m506, m507, m508, m509, m510, m511, m512, m513, m514) =STDEV.P(n505, n506, n507, n508, n509, n510, n511, n512, n513, n514) =STDEV.P(o505, o506, o507, o508, o509, o510, o511, o512, o513, o514) =STDEV.P(p505, p506, p507, p508, p509, p510, p511, p512, p513, p514) =STDEV.P(q505, q506, q507, q508, q509, q510, q511, q512, q513, q514) =STDEV.P(r505, r506, r507, r508, r509, r510, r511, r512, r513, r514) =STDEV.P(s505, s506, s507, s508, s509, s510, s511, s512, s513, s514) =STDEV.P(t505, t506, t507, t508, t509, t510, t511, t512, t513, t514) +=AVERAGE(a515, a516, a517, a518, a519, a520, a521, a522, a523, a524) =AVERAGE(b515, b516, b517, b518, b519, b520, b521, b522, b523, b524) =AVERAGE(c515, c516, c517, c518, c519, c520, c521, c522, c523, c524) =AVERAGE(d515, d516, d517, d518, d519, d520, d521, d522, d523, d524) =AVERAGE(e515, e516, e517, e518, e519, e520, e521, e522, e523, e524) =AVERAGE(f515, f516, f517, f518, f519, f520, f521, f522, f523, f524) =AVERAGE(g515, g516, g517, g518, g519, g520, g521, g522, g523, g524) =AVERAGE(h515, h516, h517, h518, h519, h520, h521, h522, h523, h524) =AVERAGE(i515, i516, i517, i518, i519, i520, i521, i522, i523, i524) =AVERAGE(j515, j516, j517, j518, j519, j520, j521, j522, j523, j524) =AVERAGE(k515, k516, k517, k518, k519, k520, k521, k522, k523, k524) =AVERAGE(l515, l516, l517, l518, l519, l520, l521, l522, l523, l524) =AVERAGE(m515, m516, m517, m518, m519, m520, m521, m522, m523, m524) =AVERAGE(n515, n516, n517, n518, n519, n520, n521, n522, n523, n524) =AVERAGE(o515, o516, o517, o518, o519, o520, o521, o522, o523, o524) =AVERAGE(p515, p516, p517, p518, p519, p520, p521, p522, p523, p524) =AVERAGE(q515, q516, q517, q518, q519, q520, q521, q522, q523, q524) =AVERAGE(r515, r516, r517, r518, r519, r520, r521, r522, r523, r524) =AVERAGE(s515, s516, s517, s518, s519, s520, s521, s522, s523, s524) =AVERAGE(t515, t516, t517, t518, t519, t520, t521, t522, t523, t524) =STDEV.P(a515, a516, a517, a518, a519, a520, a521, a522, a523, a524) =STDEV.P(b515, b516, b517, b518, b519, b520, b521, b522, b523, b524) =STDEV.P(c515, c516, c517, c518, c519, c520, c521, c522, c523, c524) =STDEV.P(d515, d516, d517, d518, d519, d520, d521, d522, d523, d524) =STDEV.P(e515, e516, e517, e518, e519, e520, e521, e522, e523, e524) =STDEV.P(f515, f516, f517, f518, f519, f520, f521, f522, f523, f524) =STDEV.P(g515, g516, g517, g518, g519, g520, g521, g522, g523, g524) =STDEV.P(h515, h516, h517, h518, h519, h520, h521, h522, h523, h524) =STDEV.P(i515, i516, i517, i518, i519, i520, i521, i522, i523, i524) =STDEV.P(j515, j516, j517, j518, j519, j520, j521, j522, j523, j524) =STDEV.P(k515, k516, k517, k518, k519, k520, k521, k522, k523, k524) =STDEV.P(l515, l516, l517, l518, l519, l520, l521, l522, l523, l524) =STDEV.P(m515, m516, m517, m518, m519, m520, m521, m522, m523, m524) =STDEV.P(n515, n516, n517, n518, n519, n520, n521, n522, n523, n524) =STDEV.P(o515, o516, o517, o518, o519, o520, o521, o522, o523, o524) =STDEV.P(p515, p516, p517, p518, p519, p520, p521, p522, p523, p524) =STDEV.P(q515, q516, q517, q518, q519, q520, q521, q522, q523, q524) =STDEV.P(r515, r516, r517, r518, r519, r520, r521, r522, r523, r524) =STDEV.P(s515, s516, s517, s518, s519, s520, s521, s522, s523, s524) =STDEV.P(t515, t516, t517, t518, t519, t520, t521, t522, t523, t524) +=AVERAGE(a525, a526, a527, a528, a529, a530, a531, a532, a533, a534) =AVERAGE(b525, b526, b527, b528, b529, b530, b531, b532, b533, b534) =AVERAGE(c525, c526, c527, c528, c529, c530, c531, c532, c533, c534) =AVERAGE(d525, d526, d527, d528, d529, d530, d531, d532, d533, d534) =AVERAGE(e525, e526, e527, e528, e529, e530, e531, e532, e533, e534) =AVERAGE(f525, f526, f527, f528, f529, f530, f531, f532, f533, f534) =AVERAGE(g525, g526, g527, g528, g529, g530, g531, g532, g533, g534) =AVERAGE(h525, h526, h527, h528, h529, h530, h531, h532, h533, h534) =AVERAGE(i525, i526, i527, i528, i529, i530, i531, i532, i533, i534) =AVERAGE(j525, j526, j527, j528, j529, j530, j531, j532, j533, j534) =AVERAGE(k525, k526, k527, k528, k529, k530, k531, k532, k533, k534) =AVERAGE(l525, l526, l527, l528, l529, l530, l531, l532, l533, l534) =AVERAGE(m525, m526, m527, m528, m529, m530, m531, m532, m533, m534) =AVERAGE(n525, n526, n527, n528, n529, n530, n531, n532, n533, n534) =AVERAGE(o525, o526, o527, o528, o529, o530, o531, o532, o533, o534) =AVERAGE(p525, p526, p527, p528, p529, p530, p531, p532, p533, p534) =AVERAGE(q525, q526, q527, q528, q529, q530, q531, q532, q533, q534) =AVERAGE(r525, r526, r527, r528, r529, r530, r531, r532, r533, r534) =AVERAGE(s525, s526, s527, s528, s529, s530, s531, s532, s533, s534) =AVERAGE(t525, t526, t527, t528, t529, t530, t531, t532, t533, t534) =STDEV.P(a525, a526, a527, a528, a529, a530, a531, a532, a533, a534) =STDEV.P(b525, b526, b527, b528, b529, b530, b531, b532, b533, b534) =STDEV.P(c525, c526, c527, c528, c529, c530, c531, c532, c533, c534) =STDEV.P(d525, d526, d527, d528, d529, d530, d531, d532, d533, d534) =STDEV.P(e525, e526, e527, e528, e529, e530, e531, e532, e533, e534) =STDEV.P(f525, f526, f527, f528, f529, f530, f531, f532, f533, f534) =STDEV.P(g525, g526, g527, g528, g529, g530, g531, g532, g533, g534) =STDEV.P(h525, h526, h527, h528, h529, h530, h531, h532, h533, h534) =STDEV.P(i525, i526, i527, i528, i529, i530, i531, i532, i533, i534) =STDEV.P(j525, j526, j527, j528, j529, j530, j531, j532, j533, j534) =STDEV.P(k525, k526, k527, k528, k529, k530, k531, k532, k533, k534) =STDEV.P(l525, l526, l527, l528, l529, l530, l531, l532, l533, l534) =STDEV.P(m525, m526, m527, m528, m529, m530, m531, m532, m533, m534) =STDEV.P(n525, n526, n527, n528, n529, n530, n531, n532, n533, n534) =STDEV.P(o525, o526, o527, o528, o529, o530, o531, o532, o533, o534) =STDEV.P(p525, p526, p527, p528, p529, p530, p531, p532, p533, p534) =STDEV.P(q525, q526, q527, q528, q529, q530, q531, q532, q533, q534) =STDEV.P(r525, r526, r527, r528, r529, r530, r531, r532, r533, r534) =STDEV.P(s525, s526, s527, s528, s529, s530, s531, s532, s533, s534) =STDEV.P(t525, t526, t527, t528, t529, t530, t531, t532, t533, t534) +=AVERAGE(a535, a536, a537, a538, a539, a540, a541, a542, a543, a544) =AVERAGE(b535, b536, b537, b538, b539, b540, b541, b542, b543, b544) =AVERAGE(c535, c536, c537, c538, c539, c540, c541, c542, c543, c544) =AVERAGE(d535, d536, d537, d538, d539, d540, d541, d542, d543, d544) =AVERAGE(e535, e536, e537, e538, e539, e540, e541, e542, e543, e544) =AVERAGE(f535, f536, f537, f538, f539, f540, f541, f542, f543, f544) =AVERAGE(g535, g536, g537, g538, g539, g540, g541, g542, g543, g544) =AVERAGE(h535, h536, h537, h538, h539, h540, h541, h542, h543, h544) =AVERAGE(i535, i536, i537, i538, i539, i540, i541, i542, i543, i544) =AVERAGE(j535, j536, j537, j538, j539, j540, j541, j542, j543, j544) =AVERAGE(k535, k536, k537, k538, k539, k540, k541, k542, k543, k544) =AVERAGE(l535, l536, l537, l538, l539, l540, l541, l542, l543, l544) =AVERAGE(m535, m536, m537, m538, m539, m540, m541, m542, m543, m544) =AVERAGE(n535, n536, n537, n538, n539, n540, n541, n542, n543, n544) =AVERAGE(o535, o536, o537, o538, o539, o540, o541, o542, o543, o544) =AVERAGE(p535, p536, p537, p538, p539, p540, p541, p542, p543, p544) =AVERAGE(q535, q536, q537, q538, q539, q540, q541, q542, q543, q544) =AVERAGE(r535, r536, r537, r538, r539, r540, r541, r542, r543, r544) =AVERAGE(s535, s536, s537, s538, s539, s540, s541, s542, s543, s544) =AVERAGE(t535, t536, t537, t538, t539, t540, t541, t542, t543, t544) =STDEV.P(a535, a536, a537, a538, a539, a540, a541, a542, a543, a544) =STDEV.P(b535, b536, b537, b538, b539, b540, b541, b542, b543, b544) =STDEV.P(c535, c536, c537, c538, c539, c540, c541, c542, c543, c544) =STDEV.P(d535, d536, d537, d538, d539, d540, d541, d542, d543, d544) =STDEV.P(e535, e536, e537, e538, e539, e540, e541, e542, e543, e544) =STDEV.P(f535, f536, f537, f538, f539, f540, f541, f542, f543, f544) =STDEV.P(g535, g536, g537, g538, g539, g540, g541, g542, g543, g544) =STDEV.P(h535, h536, h537, h538, h539, h540, h541, h542, h543, h544) =STDEV.P(i535, i536, i537, i538, i539, i540, i541, i542, i543, i544) =STDEV.P(j535, j536, j537, j538, j539, j540, j541, j542, j543, j544) =STDEV.P(k535, k536, k537, k538, k539, k540, k541, k542, k543, k544) =STDEV.P(l535, l536, l537, l538, l539, l540, l541, l542, l543, l544) =STDEV.P(m535, m536, m537, m538, m539, m540, m541, m542, m543, m544) =STDEV.P(n535, n536, n537, n538, n539, n540, n541, n542, n543, n544) =STDEV.P(o535, o536, o537, o538, o539, o540, o541, o542, o543, o544) =STDEV.P(p535, p536, p537, p538, p539, p540, p541, p542, p543, p544) =STDEV.P(q535, q536, q537, q538, q539, q540, q541, q542, q543, q544) =STDEV.P(r535, r536, r537, r538, r539, r540, r541, r542, r543, r544) =STDEV.P(s535, s536, s537, s538, s539, s540, s541, s542, s543, s544) =STDEV.P(t535, t536, t537, t538, t539, t540, t541, t542, t543, t544) +=AVERAGE(a545, a546, a547, a548, a549, a550, a551, a552, a553, a554) =AVERAGE(b545, b546, b547, b548, b549, b550, b551, b552, b553, b554) =AVERAGE(c545, c546, c547, c548, c549, c550, c551, c552, c553, c554) =AVERAGE(d545, d546, d547, d548, d549, d550, d551, d552, d553, d554) =AVERAGE(e545, e546, e547, e548, e549, e550, e551, e552, e553, e554) =AVERAGE(f545, f546, f547, f548, f549, f550, f551, f552, f553, f554) =AVERAGE(g545, g546, g547, g548, g549, g550, g551, g552, g553, g554) =AVERAGE(h545, h546, h547, h548, h549, h550, h551, h552, h553, h554) =AVERAGE(i545, i546, i547, i548, i549, i550, i551, i552, i553, i554) =AVERAGE(j545, j546, j547, j548, j549, j550, j551, j552, j553, j554) =AVERAGE(k545, k546, k547, k548, k549, k550, k551, k552, k553, k554) =AVERAGE(l545, l546, l547, l548, l549, l550, l551, l552, l553, l554) =AVERAGE(m545, m546, m547, m548, m549, m550, m551, m552, m553, m554) =AVERAGE(n545, n546, n547, n548, n549, n550, n551, n552, n553, n554) =AVERAGE(o545, o546, o547, o548, o549, o550, o551, o552, o553, o554) =AVERAGE(p545, p546, p547, p548, p549, p550, p551, p552, p553, p554) =AVERAGE(q545, q546, q547, q548, q549, q550, q551, q552, q553, q554) =AVERAGE(r545, r546, r547, r548, r549, r550, r551, r552, r553, r554) =AVERAGE(s545, s546, s547, s548, s549, s550, s551, s552, s553, s554) =AVERAGE(t545, t546, t547, t548, t549, t550, t551, t552, t553, t554) =STDEV.P(a545, a546, a547, a548, a549, a550, a551, a552, a553, a554) =STDEV.P(b545, b546, b547, b548, b549, b550, b551, b552, b553, b554) =STDEV.P(c545, c546, c547, c548, c549, c550, c551, c552, c553, c554) =STDEV.P(d545, d546, d547, d548, d549, d550, d551, d552, d553, d554) =STDEV.P(e545, e546, e547, e548, e549, e550, e551, e552, e553, e554) =STDEV.P(f545, f546, f547, f548, f549, f550, f551, f552, f553, f554) =STDEV.P(g545, g546, g547, g548, g549, g550, g551, g552, g553, g554) =STDEV.P(h545, h546, h547, h548, h549, h550, h551, h552, h553, h554) =STDEV.P(i545, i546, i547, i548, i549, i550, i551, i552, i553, i554) =STDEV.P(j545, j546, j547, j548, j549, j550, j551, j552, j553, j554) =STDEV.P(k545, k546, k547, k548, k549, k550, k551, k552, k553, k554) =STDEV.P(l545, l546, l547, l548, l549, l550, l551, l552, l553, l554) =STDEV.P(m545, m546, m547, m548, m549, m550, m551, m552, m553, m554) =STDEV.P(n545, n546, n547, n548, n549, n550, n551, n552, n553, n554) =STDEV.P(o545, o546, o547, o548, o549, o550, o551, o552, o553, o554) =STDEV.P(p545, p546, p547, p548, p549, p550, p551, p552, p553, p554) =STDEV.P(q545, q546, q547, q548, q549, q550, q551, q552, q553, q554) =STDEV.P(r545, r546, r547, r548, r549, r550, r551, r552, r553, r554) =STDEV.P(s545, s546, s547, s548, s549, s550, s551, s552, s553, s554) =STDEV.P(t545, t546, t547, t548, t549, t550, t551, t552, t553, t554) +=AVERAGE(a555, a556, a557, a558, a559, a560, a561, a562, a563, a564) =AVERAGE(b555, b556, b557, b558, b559, b560, b561, b562, b563, b564) =AVERAGE(c555, c556, c557, c558, c559, c560, c561, c562, c563, c564) =AVERAGE(d555, d556, d557, d558, d559, d560, d561, d562, d563, d564) =AVERAGE(e555, e556, e557, e558, e559, e560, e561, e562, e563, e564) =AVERAGE(f555, f556, f557, f558, f559, f560, f561, f562, f563, f564) =AVERAGE(g555, g556, g557, g558, g559, g560, g561, g562, g563, g564) =AVERAGE(h555, h556, h557, h558, h559, h560, h561, h562, h563, h564) =AVERAGE(i555, i556, i557, i558, i559, i560, i561, i562, i563, i564) =AVERAGE(j555, j556, j557, j558, j559, j560, j561, j562, j563, j564) =AVERAGE(k555, k556, k557, k558, k559, k560, k561, k562, k563, k564) =AVERAGE(l555, l556, l557, l558, l559, l560, l561, l562, l563, l564) =AVERAGE(m555, m556, m557, m558, m559, m560, m561, m562, m563, m564) =AVERAGE(n555, n556, n557, n558, n559, n560, n561, n562, n563, n564) =AVERAGE(o555, o556, o557, o558, o559, o560, o561, o562, o563, o564) =AVERAGE(p555, p556, p557, p558, p559, p560, p561, p562, p563, p564) =AVERAGE(q555, q556, q557, q558, q559, q560, q561, q562, q563, q564) =AVERAGE(r555, r556, r557, r558, r559, r560, r561, r562, r563, r564) =AVERAGE(s555, s556, s557, s558, s559, s560, s561, s562, s563, s564) =AVERAGE(t555, t556, t557, t558, t559, t560, t561, t562, t563, t564) =STDEV.P(a555, a556, a557, a558, a559, a560, a561, a562, a563, a564) =STDEV.P(b555, b556, b557, b558, b559, b560, b561, b562, b563, b564) =STDEV.P(c555, c556, c557, c558, c559, c560, c561, c562, c563, c564) =STDEV.P(d555, d556, d557, d558, d559, d560, d561, d562, d563, d564) =STDEV.P(e555, e556, e557, e558, e559, e560, e561, e562, e563, e564) =STDEV.P(f555, f556, f557, f558, f559, f560, f561, f562, f563, f564) =STDEV.P(g555, g556, g557, g558, g559, g560, g561, g562, g563, g564) =STDEV.P(h555, h556, h557, h558, h559, h560, h561, h562, h563, h564) =STDEV.P(i555, i556, i557, i558, i559, i560, i561, i562, i563, i564) =STDEV.P(j555, j556, j557, j558, j559, j560, j561, j562, j563, j564) =STDEV.P(k555, k556, k557, k558, k559, k560, k561, k562, k563, k564) =STDEV.P(l555, l556, l557, l558, l559, l560, l561, l562, l563, l564) =STDEV.P(m555, m556, m557, m558, m559, m560, m561, m562, m563, m564) =STDEV.P(n555, n556, n557, n558, n559, n560, n561, n562, n563, n564) =STDEV.P(o555, o556, o557, o558, o559, o560, o561, o562, o563, o564) =STDEV.P(p555, p556, p557, p558, p559, p560, p561, p562, p563, p564) =STDEV.P(q555, q556, q557, q558, q559, q560, q561, q562, q563, q564) =STDEV.P(r555, r556, r557, r558, r559, r560, r561, r562, r563, r564) =STDEV.P(s555, s556, s557, s558, s559, s560, s561, s562, s563, s564) =STDEV.P(t555, t556, t557, t558, t559, t560, t561, t562, t563, t564) +=AVERAGE(a565, a566, a567, a568, a569, a570, a571, a572, a573, a574) =AVERAGE(b565, b566, b567, b568, b569, b570, b571, b572, b573, b574) =AVERAGE(c565, c566, c567, c568, c569, c570, c571, c572, c573, c574) =AVERAGE(d565, d566, d567, d568, d569, d570, d571, d572, d573, d574) =AVERAGE(e565, e566, e567, e568, e569, e570, e571, e572, e573, e574) =AVERAGE(f565, f566, f567, f568, f569, f570, f571, f572, f573, f574) =AVERAGE(g565, g566, g567, g568, g569, g570, g571, g572, g573, g574) =AVERAGE(h565, h566, h567, h568, h569, h570, h571, h572, h573, h574) =AVERAGE(i565, i566, i567, i568, i569, i570, i571, i572, i573, i574) =AVERAGE(j565, j566, j567, j568, j569, j570, j571, j572, j573, j574) =AVERAGE(k565, k566, k567, k568, k569, k570, k571, k572, k573, k574) =AVERAGE(l565, l566, l567, l568, l569, l570, l571, l572, l573, l574) =AVERAGE(m565, m566, m567, m568, m569, m570, m571, m572, m573, m574) =AVERAGE(n565, n566, n567, n568, n569, n570, n571, n572, n573, n574) =AVERAGE(o565, o566, o567, o568, o569, o570, o571, o572, o573, o574) =AVERAGE(p565, p566, p567, p568, p569, p570, p571, p572, p573, p574) =AVERAGE(q565, q566, q567, q568, q569, q570, q571, q572, q573, q574) =AVERAGE(r565, r566, r567, r568, r569, r570, r571, r572, r573, r574) =AVERAGE(s565, s566, s567, s568, s569, s570, s571, s572, s573, s574) =AVERAGE(t565, t566, t567, t568, t569, t570, t571, t572, t573, t574) =STDEV.P(a565, a566, a567, a568, a569, a570, a571, a572, a573, a574) =STDEV.P(b565, b566, b567, b568, b569, b570, b571, b572, b573, b574) =STDEV.P(c565, c566, c567, c568, c569, c570, c571, c572, c573, c574) =STDEV.P(d565, d566, d567, d568, d569, d570, d571, d572, d573, d574) =STDEV.P(e565, e566, e567, e568, e569, e570, e571, e572, e573, e574) =STDEV.P(f565, f566, f567, f568, f569, f570, f571, f572, f573, f574) =STDEV.P(g565, g566, g567, g568, g569, g570, g571, g572, g573, g574) =STDEV.P(h565, h566, h567, h568, h569, h570, h571, h572, h573, h574) =STDEV.P(i565, i566, i567, i568, i569, i570, i571, i572, i573, i574) =STDEV.P(j565, j566, j567, j568, j569, j570, j571, j572, j573, j574) =STDEV.P(k565, k566, k567, k568, k569, k570, k571, k572, k573, k574) =STDEV.P(l565, l566, l567, l568, l569, l570, l571, l572, l573, l574) =STDEV.P(m565, m566, m567, m568, m569, m570, m571, m572, m573, m574) =STDEV.P(n565, n566, n567, n568, n569, n570, n571, n572, n573, n574) =STDEV.P(o565, o566, o567, o568, o569, o570, o571, o572, o573, o574) =STDEV.P(p565, p566, p567, p568, p569, p570, p571, p572, p573, p574) =STDEV.P(q565, q566, q567, q568, q569, q570, q571, q572, q573, q574) =STDEV.P(r565, r566, r567, r568, r569, r570, r571, r572, r573, r574) =STDEV.P(s565, s566, s567, s568, s569, s570, s571, s572, s573, s574) =STDEV.P(t565, t566, t567, t568, t569, t570, t571, t572, t573, t574) + +0 0 0.9613 0.9988 0 17.921 3.461 39 6 88 6 0.9613 0.9988 0 17.921 3.461 39 6 88 6 +0 0 0.9568 0.9984 0 18.507 3.493 31 5 47 6 0.9568 0.9984 0 18.507 3.493 31 5 47 6 +0 0 0.9576 0.9986 0 17.976 3.432 50 5 78 6 0.9576 0.9986 0 17.976 3.432 50 5 78 6 +0 0 0.9582 0.9986 0 18.419 3.474 43 5 30 6 0.9582 0.9986 0 18.419 3.474 43 5 30 6 +0 0 0.9565 0.9986 0 18.169 3.423 8 3 20 5 0.9565 0.9986 0 18.169 3.423 8 3 20 5 +0 0 0.9603 0.9988 0 18.423 3.478 38 5 6 3 0.9603 0.9988 0 18.423 3.478 38 5 6 3 +0 0 0.9613 0.9987 0 18.47 3.468 24 5 53 5 0.9613 0.9987 0 18.47 3.468 24 5 53 5 +0 0 0.9581 0.9985 0 18.421 3.455 32 5 17 5 0.9581 0.9985 0 18.421 3.455 32 5 17 5 +0 0 0.9615 0.9988 0 18.418 3.5 45 5 82 6 0.9615 0.9988 0 18.418 3.5 45 5 82 6 +0 0 0.9563 0.9987 0 18.596 3.492 30 5 20 4 0.9563 0.9987 0 18.596 3.492 30 5 20 4 +1 0 0.989 0.9988 0 16.205 3.524 39 6 22 5 0.9752 0.9988 0 17.063 3.493 39 6 88 6 +1 0 0.989 0.9986 0 16.025 3.514 11 3 58 7 0.9729 0.9986 0 17.266 3.504 11 3 47 6 +1 0 0.9903 0.9987 0 16.252 3.502 3 1 19 6 0.974 0.9987 0 17.114 3.467 3 1 78 6 +1 0 0.9902 0.9986 0 16.37 3.536 11 5 17 4 0.9742 0.9986 0 17.395 3.505 11 5 30 6 +1 0 0.9932 0.9989 0 16.18 3.478 22 6 38 7 0.9749 0.9989 0 17.174 3.45 22 6 20 5 +1 0 0.9916 0.9988 0 16.266 3.56 38 5 24 5 0.9759 0.9988 0 17.344 3.519 38 5 6 3 +1 0 0.9924 0.9987 0 15.871 3.473 7 2 60 7 0.9768 0.9987 0 17.17 3.471 7 2 53 5 +1 0 0.9922 0.9986 0 16.303 3.49 25 5 100 7 0.9751 0.9986 0 17.362 3.473 25 5 17 5 +1 0 0.9882 0.9988 0 16.652 3.602 45 5 50 7 0.9749 0.9988 0 17.535 3.551 45 5 82 6 +1 0 0.9908 0.9987 0 16.812 3.566 30 5 16 5 0.9736 0.9987 0 17.704 3.529 30 5 20 4 +2 0 0.9917 0.9988 0 15.957 3.613 39 6 23 6 0.9807 0.9988 0 16.694 3.533 39 6 88 6 +2 0 0.9909 0.9987 0 15.205 3.538 4 2 90 7 0.9789 0.9987 0 16.579 3.515 4 2 47 6 +2 0 0.9922 0.9987 0 15.294 3.539 3 1 68 10 0.98 0.9987 0 16.507 3.491 3 1 78 6 +2 0 0.9912 0.9987 0 15.751 3.579 64 8 85 9 0.9799 0.9987 0 16.847 3.529 64 8 30 6 +2 0 0.9921 0.9989 0 15.574 3.544 22 6 25 5 0.9806 0.9989 0 16.641 3.482 22 6 20 5 +2 0 0.9918 0.9988 0 15.616 3.642 38 5 9 3 0.9812 0.9988 0 16.768 3.56 38 5 6 3 +2 0 0.9916 0.9988 0 15.394 3.528 14 6 21 6 0.9818 0.9988 0 16.578 3.49 14 6 53 5 +2 0 0.9914 0.9986 0 15.458 3.521 25 5 34 5 0.9806 0.9986 0 16.727 3.489 25 5 17 5 +2 0 0.9914 0.9988 0 16.094 3.66 45 5 66 9 0.9804 0.9988 0 17.054 3.587 45 5 82 6 +2 0 0.9916 0.9989 0 16.142 3.627 59 6 34 8 0.9796 0.9989 0 17.183 3.562 59 6 20 4 +3 0 0.992 0.9988 0 15.149 3.631 39 6 76 6 0.9835 0.9988 0 16.308 3.558 39 6 88 6 +3 0 0.9921 0.9987 0 14.618 3.548 4 2 37 6 0.9822 0.9987 0 16.089 3.523 4 2 47 6 +3 0 0.9922 0.9987 0 15.008 3.591 3 1 52 7 0.9831 0.9987 0 16.132 3.516 3 1 78 6 +3 0 0.994 0.9987 0 14.914 3.625 64 8 77 6 0.9834 0.9987 0 16.363 3.553 64 8 30 6 +3 0 0.9919 0.9989 0 14.411 3.491 22 6 23 6 0.9834 0.9989 0 16.084 3.484 22 6 20 5 +3 0 0.9927 0.9988 0 15.33 3.679 38 5 27 6 0.9841 0.9988 0 16.409 3.59 38 5 6 3 +3 0 0.9924 0.9988 0 14.988 3.578 14 6 16 6 0.9844 0.9988 0 16.181 3.512 14 6 53 5 +3 0 0.9938 0.9986 0 14.154 3.467 25 5 16 5 0.9839 0.9986 0 16.084 3.483 25 5 17 5 +3 0 0.991 0.9988 0 15.61 3.71 45 5 35 5 0.983 0.9988 0 16.693 3.618 45 5 82 6 +3 0 0.9924 0.9989 0 15.516 3.675 59 6 38 8 0.9828 0.9989 0 16.767 3.59 59 6 20 4 +4 0 0.993 0.9988 0 14.415 3.622 39 6 31 6 0.9854 0.9988 0 15.93 3.571 39 6 88 6 +4 0 0.9944 0.9987 0 13.546 3.523 4 2 59 7 0.9846 0.9987 0 15.58 3.523 4 2 47 6 +4 0 0.9937 0.9987 0 14.437 3.555 22 7 61 8 0.9852 0.9987 0 15.793 3.524 22 7 78 6 +4 0 0.9932 0.9987 0 14.046 3.585 4 2 79 9 0.9854 0.9987 0 15.9 3.56 4 2 30 6 +4 0 0.9932 0.9989 0 13.426 3.411 22 6 81 9 0.9854 0.9989 0 15.552 3.469 22 6 20 5 +4 0 0.9936 0.9988 0 14.436 3.659 38 5 34 9 0.986 0.9988 0 16.014 3.604 38 5 6 3 +4 0 0.9937 0.9988 0 14.056 3.584 14 6 45 5 0.9863 0.9988 0 15.756 3.526 14 6 53 5 +4 0 0.9932 0.9986 0 13.621 3.478 25 5 25 7 0.9857 0.9986 0 15.591 3.482 25 5 17 5 +4 0 0.9922 0.9988 0 14.804 3.696 45 5 33 8 0.9849 0.9988 0 16.315 3.633 45 5 82 6 +4 0 0.9934 0.9989 0 15.006 3.702 59 6 25 5 0.9849 0.9989 0 16.414 3.612 59 6 20 4 +5 0 0.994 0.9988 0 13.613 3.536 39 6 16 5 0.9869 0.9988 0 15.543 3.565 39 6 88 6 +5 0 0.9944 0.9987 0 13.156 3.54 4 2 44 6 0.9863 0.9987 0 15.176 3.526 4 2 47 6 +5 0 0.9922 0.9987 0 13.895 3.546 22 7 47 6 0.9864 0.9987 0 15.477 3.528 22 7 78 6 +5 0 0.9936 0.9987 0 13.283 3.552 4 2 26 7 0.9868 0.9987 0 15.464 3.558 4 2 30 6 +5 0 0.9946 0.9989 0 12.606 3.374 22 6 59 9 0.9869 0.9989 0 15.061 3.453 22 6 20 5 +5 0 0.9936 0.9988 0 13.598 3.607 38 5 27 7 0.9872 0.9988 0 15.611 3.604 38 5 6 3 +5 0 0.9954 0.9989 0 13.272 3.501 9 4 92 14 0.9878 0.9989 0 15.342 3.522 9 4 53 5 +5 0 0.9956 0.9986 0 13.288 3.457 25 5 33 7 0.9874 0.9986 0 15.207 3.478 25 5 17 5 +5 0 0.9938 0.9989 0 14.258 3.671 63 9 62 9 0.9864 0.9989 0 15.973 3.64 63 9 82 6 +5 0 0.994 0.9989 0 14.723 3.723 59 6 39 5 0.9864 0.9989 0 16.133 3.631 59 6 20 4 +6 0 0.9935 0.9988 0 13.135 3.519 21 7 71 11 0.9878 0.9988 0 15.199 3.558 21 7 88 6 +6 0 0.995 0.9987 0 12.535 3.487 3 1 30 5 0.9875 0.9987 0 14.799 3.52 3 1 47 6 +6 0 0.9934 0.9987 0 13.283 3.525 22 7 42 10 0.9874 0.9987 0 15.163 3.527 22 7 78 6 +6 0 0.994 0.9987 0 12.793 3.542 4 2 27 6 0.9878 0.9987 0 15.082 3.556 4 2 30 6 +6 0 0.9934 0.9989 0 12.061 3.32 22 6 15 4 0.9879 0.9989 0 14.632 3.434 22 6 20 5 +6 0 0.9944 0.9988 0 12.737 3.523 38 5 39 6 0.9883 0.9988 0 15.201 3.593 38 5 6 3 +6 0 0.9946 0.9989 0 12.351 3.425 9 4 18 9 0.9888 0.9989 0 14.915 3.508 9 4 53 5 +6 0 0.9944 0.9986 0 12.699 3.428 25 5 18 5 0.9884 0.9986 0 14.849 3.471 25 5 17 5 +6 0 0.9926 0.9989 0 13.787 3.636 63 9 34 7 0.9873 0.9989 0 15.66 3.639 63 9 82 6 +6 0 0.9952 0.9989 0 13.902 3.663 59 6 35 8 0.9877 0.9989 0 15.814 3.635 59 6 20 4 +7 0 0.9944 0.9988 0 12.161 3.4 32 9 20 6 0.9886 0.9988 0 14.82 3.538 32 9 88 6 +7 0 0.9944 0.9987 0 12.241 3.459 3 1 43 6 0.9884 0.9987 0 14.479 3.513 3 1 47 6 +7 0 0.9952 0.9987 0 12.697 3.48 22 7 49 9 0.9883 0.9987 0 14.855 3.521 22 7 78 6 +7 0 0.995 0.9989 0 12.09 3.458 24 7 29 7 0.9887 0.9989 0 14.708 3.544 24 7 30 6 +7 0 0.9958 0.9989 0 11.249 3.197 22 6 19 8 0.9889 0.9989 0 14.21 3.405 22 6 20 5 +7 0 0.9956 0.9988 0 12.087 3.425 38 5 16 5 0.9892 0.9988 0 14.812 3.572 38 5 6 3 +7 0 0.9954 0.9989 0 11.53 3.281 9 4 28 7 0.9896 0.9989 0 14.491 3.48 9 4 53 5 +7 0 0.9946 0.9986 0 11.774 3.358 25 5 23 6 0.9892 0.9986 0 14.465 3.457 25 5 17 5 +7 0 0.994 0.9989 0 13.089 3.52 63 9 34 10 0.9881 0.9989 0 15.339 3.624 63 9 82 6 +7 0 0.9948 0.9989 0 13.523 3.607 59 6 65 12 0.9886 0.9989 0 15.527 3.632 59 6 20 4 +8 0 0.9918 0.9988 0 11.717 3.343 32 9 23 8 0.989 0.9988 0 14.475 3.517 32 9 88 6 +8 0 0.9958 0.9987 0 11.541 3.348 3 1 43 8 0.9892 0.9987 0 14.153 3.494 3 1 47 6 +8 0 0.9946 0.9987 0 12.255 3.491 22 7 130 11 0.989 0.9987 0 14.566 3.518 22 7 78 6 +8 0 0.9942 0.9989 0 11.214 3.338 24 7 14 6 0.9893 0.9989 0 14.32 3.521 24 7 30 6 +8 0 0.9964 0.9989 0 11.08 3.194 22 6 55 14 0.9897 0.9989 0 13.862 3.381 22 6 20 5 +8 0 0.9976 0.9988 0 11.596 3.403 38 5 19 8 0.9901 0.9988 0 14.454 3.553 38 5 6 3 +8 0 0.9958 0.9989 0 11.076 3.231 9 4 23 9 0.9903 0.9989 0 14.112 3.452 9 4 53 5 +8 0 0.9956 0.9987 0 11.138 3.313 10 4 17 6 0.9899 0.9987 0 14.095 3.441 10 4 17 5 +8 0 0.9948 0.9989 0 12.4 3.425 55 9 86 8 0.9889 0.9989 0 15.012 3.602 55 9 82 6 +8 0 0.9948 0.9989 0 12.884 3.543 59 6 50 16 0.9893 0.9989 0 15.234 3.622 59 6 20 4 +9 0 0.994 0.9988 0 10.936 3.237 32 9 27 6 0.9895 0.9988 0 14.121 3.489 32 9 88 6 +9 0 0.9959 0.9987 0 11.105 3.294 3 1 73 9 0.9899 0.9987 0 13.848 3.474 3 1 47 6 +9 0 0.9952 0.9987 0 11.673 3.432 22 7 12 5 0.9897 0.9987 0 14.277 3.509 22 7 78 6 +9 0 0.9964 0.9989 0 10.49 3.235 24 7 74 12 0.99 0.9989 0 13.937 3.492 24 7 30 6 +9 0 0.995 0.9989 0 10.193 3.098 22 6 17 7 0.9902 0.9989 0 13.495 3.353 22 6 20 5 +9 0 0.9968 0.9988 0 11.092 3.338 38 5 20 6 0.9908 0.9988 0 14.118 3.531 38 5 6 3 +9 0 0.9966 0.9989 0 10.368 3.136 9 4 19 8 0.9909 0.9989 0 13.738 3.42 9 4 53 5 +9 0 0.9944 0.9987 0 10.775 3.253 10 4 6 3 0.9903 0.9987 0 13.763 3.422 10 4 17 5 +9 0 0.9952 0.9989 0 11.856 3.365 55 9 83 13 0.9895 0.9989 0 14.697 3.578 55 9 82 6 +9 0 0.995 0.9989 0 12.405 3.543 59 6 48 10 0.9898 0.9989 0 14.951 3.614 59 6 20 4 +10 0 0.996 0.9988 0 10.593 3.218 32 9 13 6 0.9901 0.9988 0 13.8 3.464 32 9 88 6 +10 0 0.9938 0.9987 0 10.811 3.242 3 1 18 7 0.9902 0.9987 0 13.572 3.453 3 1 47 6 +10 0 0.9952 0.9987 0 11.144 3.378 22 7 47 7 0.9902 0.9987 0 13.992 3.497 22 7 78 6 +10 0 0.9954 0.9989 0 9.879 3.135 24 7 41 6 0.9905 0.9989 0 13.568 3.46 24 7 30 6 +10 0 0.9964 0.9989 0 9.397 2.996 22 6 116 13 0.9908 0.9989 0 13.122 3.32 22 6 20 5 +10 0 0.9952 0.9988 0 10.639 3.237 38 5 41 11 0.9912 0.9988 0 13.802 3.505 38 5 6 3 +10 0 0.9968 0.9989 0 10.107 3.167 9 4 18 8 0.9915 0.9989 0 13.408 3.397 9 4 53 5 +10 0 0.996 0.9987 0 10.474 3.248 10 4 45 6 0.9909 0.9987 0 13.464 3.406 10 4 17 5 +10 0 0.9962 0.9989 0 11.563 3.333 43 6 28 7 0.9901 0.9989 0 14.412 3.556 43 6 82 6 +10 0 0.9942 0.9989 0 11.589 3.428 59 6 17 5 0.9902 0.9989 0 14.645 3.597 59 6 20 4 +11 0 0.9968 0.9988 0 10.023 3.126 32 9 15 5 0.9906 0.9988 0 13.485 3.436 32 9 88 6 +11 0 0.9967 0.9987 0 10.453 3.223 3 1 35 9 0.9908 0.9987 0 13.312 3.434 3 1 47 6 +11 0 0.995 0.9987 0 10.724 3.321 22 7 9 4 0.9906 0.9987 0 13.72 3.483 22 7 78 6 +11 0 0.9956 0.9989 0 9.415 3.038 24 7 42 7 0.9909 0.9989 0 13.222 3.425 24 7 30 6 +11 0 0.9976 0.9989 0 9.316 2.996 22 6 51 11 0.9914 0.9989 0 12.805 3.293 22 6 20 5 +11 0 0.996 0.9988 0 10.142 3.157 38 5 21 6 0.9916 0.9988 0 13.497 3.476 38 5 6 3 +11 0 0.9964 0.9989 0 9.482 3.072 9 4 53 10 0.9919 0.9989 0 13.08 3.37 9 4 53 5 +11 0 0.9956 0.9987 0 10.047 3.175 10 4 81 9 0.9913 0.9987 0 13.179 3.387 10 4 17 5 +11 0 0.9948 0.9989 0 11.484 3.399 43 6 45 9 0.9905 0.9989 0 14.168 3.543 43 6 82 6 +11 0 0.9938 0.9989 0 11.094 3.382 59 6 17 4 0.9905 0.9989 0 14.349 3.579 59 6 20 4 +12 0 0.9962 0.9989 0 9.63 3.086 6 4 97 9 0.9911 0.9989 0 13.189 3.409 6 4 88 6 +12 0 0.9955 0.9987 0 9.847 3.116 3 1 33 8 0.9911 0.9987 0 13.045 3.41 3 1 47 6 +12 0 0.9956 0.9987 0 10.1 3.191 22 7 48 9 0.9909 0.9987 0 13.441 3.46 22 7 78 6 +12 0 0.9966 0.9989 0 9.203 3.022 24 7 64 10 0.9914 0.9989 0 12.913 3.394 24 7 30 6 +12 0 0.9972 0.9989 0 9.106 2.962 22 6 52 16 0.9918 0.9989 0 12.521 3.268 22 6 20 5 +12 0 0.996 0.9988 0 9.742 3.098 38 5 23 7 0.9919 0.9988 0 13.208 3.447 38 5 6 3 +12 0 0.996 0.9989 0 8.765 2.939 9 4 40 10 0.9922 0.9989 0 12.748 3.337 9 4 53 5 +12 0 0.9946 0.9987 0 9.532 3.098 10 4 11 4 0.9915 0.9987 0 12.899 3.365 10 4 17 5 +12 0 0.9958 0.9989 0 10.969 3.338 43 6 11 6 0.9909 0.9989 0 13.922 3.527 43 6 82 6 +12 0 0.9956 0.9989 0 10.695 3.315 59 6 9 3 0.9909 0.9989 0 14.068 3.559 59 6 20 4 +13 0 0.9954 0.9989 0 9.141 3.046 6 4 49 11 0.9914 0.9989 0 12.9 3.383 6 4 88 6 +13 0 0.9955 0.9987 0 9.219 3.007 3 1 22 8 0.9914 0.9987 0 12.772 3.381 3 1 47 6 +13 0 0.9956 0.9987 0 9.538 3.099 22 7 30 9 0.9913 0.9987 0 13.163 3.434 22 7 78 6 +13 0 0.9954 0.9989 0 8.941 2.979 24 7 50 9 0.9917 0.9989 0 12.629 3.364 24 7 30 6 +13 0 0.997 0.9989 0 8.981 2.938 9 5 77 9 0.9922 0.9989 0 12.268 3.244 9 5 20 5 +13 0 0.9968 0.9988 0 9.42 3.048 38 5 24 9 0.9923 0.9988 0 12.937 3.418 38 5 6 3 +13 0 0.9964 0.9989 0 8.452 2.85 9 4 40 7 0.9925 0.9989 0 12.441 3.302 9 4 53 5 +13 0 0.9966 0.9987 0 9.075 3.001 10 4 34 6 0.9919 0.9987 0 12.626 3.339 10 4 17 5 +13 0 0.9948 0.9989 0 10.406 3.259 43 6 16 7 0.9912 0.9989 0 13.671 3.508 43 6 82 6 +13 0 0.9963 0.9989 0 9.932 3.168 59 6 86 8 0.9913 0.9989 0 13.773 3.531 59 6 20 4 +14 0 0.9954 0.9989 0 8.687 2.94 6 4 32 6 0.9917 0.9989 0 12.619 3.354 6 4 88 6 +14 0 0.9963 0.9987 0 8.871 2.943 3 1 74 9 0.9918 0.9987 0 12.512 3.352 3 1 47 6 +14 0 0.9968 0.9987 0 9.162 3.042 22 7 17 6 0.9916 0.9987 0 12.896 3.408 22 7 78 6 +14 0 0.9958 0.9989 0 8.507 2.898 24 7 34 8 0.992 0.9989 0 12.354 3.333 24 7 30 6 +14 0 0.9958 0.9989 0 8.62 2.905 9 5 35 8 0.9924 0.9989 0 12.025 3.222 9 5 20 5 +14 0 0.9962 0.9988 0 8.807 2.924 38 5 27 7 0.9925 0.9988 0 12.662 3.385 38 5 6 3 +14 0 0.9956 0.9989 0 8.161 2.794 9 4 31 9 0.9927 0.9989 0 12.156 3.268 9 4 53 5 +14 0 0.9974 0.9987 0 8.586 2.869 10 4 6 3 0.9922 0.9987 0 12.356 3.307 10 4 17 5 +14 0 0.996 0.9989 0 9.949 3.193 43 6 21 7 0.9915 0.9989 0 13.423 3.487 43 6 82 6 +14 0 0.9962 0.9989 0 9.651 3.143 59 6 26 7 0.9916 0.9989 0 13.498 3.505 59 6 20 4 +15 0 0.996 0.9989 0 8.433 2.938 6 4 11 4 0.9919 0.9989 0 12.357 3.328 6 4 88 6 +15 0 0.9973 0.9987 0 8.512 2.875 3 1 31 8 0.9921 0.9987 0 12.262 3.322 3 1 47 6 +15 0 0.9965 0.9987 0 8.872 2.989 22 7 11 5 0.9919 0.9987 0 12.644 3.382 22 7 78 6 +15 0 0.9958 0.9989 0 8.516 2.888 24 7 21 6 0.9922 0.9989 0 12.114 3.305 24 7 30 6 +15 0 0.9964 0.9989 0 8.296 2.829 9 5 48 12 0.9927 0.9989 0 11.792 3.197 9 5 20 5 +15 0 0.997 0.9988 0 8.584 2.886 38 5 37 6 0.9928 0.9988 0 12.407 3.354 38 5 6 3 +15 0 0.9972 0.9989 0 7.951 2.764 9 4 45 14 0.993 0.9989 0 11.893 3.237 9 4 53 5 +15 0 0.997 0.9987 0 8.397 2.83 10 4 8 3 0.9925 0.9987 0 12.109 3.278 10 4 17 5 +15 0 0.9954 0.9989 0 9.347 3.043 43 6 55 8 0.9918 0.9989 0 13.168 3.459 43 6 82 6 +15 0 0.9968 0.9989 0 9.238 3.075 59 6 20 6 0.992 0.9989 0 13.232 3.478 59 6 20 4 +16 0 0.9966 0.9989 0 8.215 2.898 6 4 37 11 0.9922 0.9989 0 12.114 3.302 6 4 88 6 +16 0 0.9971 0.9987 0 8.255 2.81 3 1 24 6 0.9924 0.9987 0 12.026 3.292 3 1 47 6 +16 0 0.997 0.9987 0 8.587 2.93 22 7 9 4 0.9922 0.9987 0 12.406 3.355 22 7 78 6 +16 0 0.9968 0.9989 0 7.958 2.788 24 7 32 6 0.9925 0.9989 0 11.87 3.275 24 7 30 6 +16 0 0.9968 0.9989 0 8.066 2.803 9 5 11 5 0.9929 0.9989 0 11.572 3.174 9 5 20 5 +16 0 0.9966 0.9988 0 8.245 2.82 38 5 33 10 0.993 0.9988 0 12.162 3.322 38 5 6 3 +16 0 0.9972 0.9989 0 7.71 2.72 9 4 51 9 0.9932 0.9989 0 11.647 3.206 9 4 53 5 +16 0 0.9962 0.9989 0 8.046 2.758 20 10 14 6 0.9928 0.9989 0 11.87 3.247 20 10 17 5 +16 0 0.9958 0.9989 0 9.196 2.999 43 6 8 4 0.992 0.9989 0 12.934 3.432 43 6 82 6 +16 0 0.9966 0.9989 0 8.891 2.978 59 6 10 4 0.9922 0.9989 0 12.976 3.449 59 6 20 4 +17 0 0.9968 0.9989 0 7.859 2.828 6 4 17 5 0.9925 0.9989 0 11.877 3.276 6 4 88 6 +17 0 0.9969 0.9987 0 7.781 2.714 3 1 14 5 0.9927 0.9987 0 11.79 3.26 3 1 47 6 +17 0 0.9966 0.9987 0 8.183 2.804 22 7 15 6 0.9925 0.9987 0 12.171 3.325 22 7 78 6 +17 0 0.9976 0.9989 0 7.84 2.764 24 7 40 10 0.9928 0.9989 0 11.646 3.246 24 7 30 6 +17 0 0.9962 0.9989 0 7.634 2.728 9 5 49 13 0.9931 0.9989 0 11.354 3.149 9 5 20 5 +17 0 0.9966 0.9988 0 7.925 2.756 38 5 19 10 0.9932 0.9988 0 11.927 3.291 38 5 6 3 +17 0 0.9978 0.9989 0 7.214 2.604 9 4 27 10 0.9935 0.9989 0 11.401 3.173 9 4 53 5 +17 0 0.9972 0.9989 0 7.831 2.73 20 10 7 3 0.993 0.9989 0 11.646 3.218 20 10 17 5 +17 0 0.9958 0.9989 0 8.704 2.882 43 6 26 6 0.9922 0.9989 0 12.699 3.402 43 6 82 6 +17 0 0.9974 0.9989 0 8.443 2.847 59 6 8 4 0.9925 0.9989 0 12.725 3.415 59 6 20 4 +18 0 0.9974 0.9989 0 7.433 2.697 6 4 24 6 0.9927 0.9989 0 11.643 3.245 6 4 88 6 +18 0 0.9965 0.9987 0 7.412 2.612 3 1 10 3 0.9929 0.9987 0 11.56 3.226 3 1 47 6 +18 0 0.9968 0.9987 0 7.756 2.74 22 7 47 14 0.9927 0.9987 0 11.939 3.294 22 7 78 6 +18 0 0.996 0.9989 0 7.613 2.711 24 7 5 2 0.9929 0.9989 0 11.434 3.218 24 7 30 6 +18 0 0.997 0.9989 0 7.281 2.637 9 5 8 3 0.9933 0.9989 0 11.139 3.122 9 5 20 5 +18 0 0.9968 0.9988 0 7.503 2.648 38 5 15 6 0.9934 0.9988 0 11.694 3.257 38 5 6 3 +18 0 0.9974 0.9989 0 6.931 2.531 9 4 27 10 0.9937 0.9989 0 11.166 3.139 9 4 53 5 +18 0 0.9964 0.9989 0 7.551 2.675 20 10 72 10 0.9932 0.9989 0 11.43 3.19 20 10 17 5 +18 0 0.9962 0.9989 0 8.215 2.772 43 6 17 6 0.9924 0.9989 0 12.463 3.369 43 6 82 6 +18 0 0.9964 0.9989 0 8.078 2.743 59 6 9 4 0.9927 0.9989 0 12.48 3.38 59 6 20 4 +19 0 0.997 0.9989 0 7.169 2.63 6 4 13 4 0.9929 0.9989 0 11.42 3.215 6 4 88 6 +19 0 0.9967 0.9987 0 7.074 2.572 3 1 33 9 0.9931 0.9987 0 11.336 3.193 3 1 47 6 +19 0 0.9968 0.9987 0 7.464 2.673 22 7 26 6 0.9929 0.9987 0 11.715 3.263 22 7 78 6 +19 0 0.9962 0.9989 0 7.435 2.665 24 7 23 6 0.9931 0.9989 0 11.234 3.191 24 7 30 6 +19 0 0.9968 0.9989 0 7.013 2.565 9 5 16 6 0.9935 0.9989 0 10.933 3.094 9 5 20 5 +19 0 0.9966 0.9988 0 7.223 2.601 38 5 60 10 0.9936 0.9988 0 11.47 3.224 38 5 6 3 +19 0 0.9974 0.9989 0 6.721 2.441 9 4 14 5 0.9939 0.9989 0 10.943 3.104 9 4 53 5 +19 0 0.9968 0.9989 0 7.3 2.634 20 10 30 11 0.9934 0.9989 0 11.224 3.162 20 10 17 5 +19 0 0.9966 0.9989 0 7.87 2.677 43 6 9 4 0.9926 0.9989 0 12.234 3.334 43 6 82 6 +19 0 0.9978 0.9989 0 7.976 2.728 59 6 9 4 0.993 0.9989 0 12.255 3.347 59 6 20 4 +20 0 0.9974 0.9989 0 6.915 2.568 6 4 7 3 0.9932 0.9989 0 11.205 3.184 6 4 88 6 +20 0 0.9969 0.9987 0 6.831 2.478 3 1 15 6 0.9932 0.9987 0 11.121 3.159 3 1 47 6 +20 0 0.9962 0.9987 0 7.172 2.585 22 7 43 8 0.9931 0.9987 0 11.499 3.231 22 7 78 6 +20 0 0.9964 0.9989 0 7.074 2.59 24 7 6 2 0.9933 0.9989 0 11.036 3.162 24 7 30 6 +20 0 0.9966 0.9989 0 6.741 2.51 9 5 8 3 0.9936 0.9989 0 10.733 3.067 9 5 20 5 +20 0 0.9964 0.9988 0 6.797 2.466 38 5 81 10 0.9937 0.9988 0 11.248 3.188 38 5 6 3 +20 0 0.9976 0.9989 0 6.475 2.367 9 4 5 2 0.9941 0.9989 0 10.731 3.069 9 4 53 5 +20 0 0.9958 0.9989 0 7.193 2.594 15 6 14 5 0.9935 0.9989 0 11.032 3.135 15 6 17 5 +20 0 0.997 0.9989 0 7.618 2.634 43 6 54 13 0.9928 0.9989 0 12.014 3.301 43 6 82 6 +20 0 0.997 0.9989 0 7.639 2.668 59 6 27 6 0.9932 0.9989 0 12.035 3.315 59 6 20 4 +21 0 0.9974 0.9989 0 6.733 2.495 6 4 12 4 0.9933 0.9989 0 11.002 3.153 6 4 88 6 +21 0 0.9975 0.9987 0 6.507 2.41 3 1 19 7 0.9934 0.9987 0 10.911 3.125 3 1 47 6 +21 0 0.9972 0.9987 0 7.019 2.512 22 7 20 5 0.9933 0.9987 0 11.295 3.198 22 7 78 6 +21 0 0.9976 0.9989 0 6.839 2.532 24 7 17 5 0.9935 0.9989 0 10.845 3.133 24 7 30 6 +21 0 0.9962 0.9989 0 6.532 2.469 9 5 30 8 0.9938 0.9989 0 10.542 3.039 9 5 20 5 +21 0 0.9972 0.9988 0 6.41 2.373 38 5 57 12 0.9939 0.9988 0 11.028 3.151 38 5 6 3 +21 0 0.997 0.9989 0 6.416 2.362 9 4 36 10 0.9942 0.9989 0 10.535 3.037 9 4 53 5 +21 0 0.9968 0.9989 0 6.756 2.463 15 6 15 5 0.9936 0.9989 0 10.837 3.104 15 6 17 5 +21 0 0.9966 0.9989 0 7.646 2.666 43 6 39 8 0.993 0.9989 0 11.815 3.272 43 6 82 6 +21 0 0.9974 0.9989 0 7.471 2.639 59 6 21 6 0.9934 0.9989 0 11.827 3.284 59 6 20 4 +22 0 0.9977 0.9989 0 6.475 2.407 6 4 74 13 0.9935 0.9989 0 10.805 3.12 6 4 88 6 +22 0 0.9969 0.9987 0 6.343 2.379 3 1 16 6 0.9936 0.9987 0 10.713 3.092 3 1 47 6 +22 0 0.9966 0.9987 0 6.78 2.454 22 7 39 14 0.9934 0.9987 0 11.099 3.166 22 7 78 6 +22 0 0.997 0.9989 0 6.753 2.511 24 7 20 6 0.9936 0.9989 0 10.667 3.106 24 7 30 6 +22 0 0.9974 0.9989 0 6.367 2.437 9 5 56 9 0.9939 0.9989 0 10.361 3.013 9 5 20 5 +22 0 0.9972 0.9988 0 6.26 2.346 38 5 23 9 0.994 0.9988 0 10.821 3.116 38 5 6 3 +22 0 0.9964 0.9989 0 6.237 2.3 9 4 9 4 0.9943 0.9989 0 10.348 3.005 9 4 53 5 +22 0 0.9962 0.9989 0 6.326 2.335 15 6 41 9 0.9937 0.9989 0 10.641 3.071 15 6 17 5 +22 0 0.9972 0.9989 0 7.335 2.61 43 6 23 5 0.9932 0.9989 0 11.62 3.243 43 6 82 6 +22 0 0.9968 0.9989 0 7.183 2.548 59 6 16 5 0.9935 0.9989 0 11.626 3.252 59 6 20 4 +23 0 0.9972 0.9989 0 6.252 2.336 6 4 15 6 0.9937 0.9989 0 10.615 3.087 6 4 88 6 +23 0 0.9975 0.9987 0 6.167 2.324 3 1 5 2 0.9938 0.9987 0 10.523 3.06 3 1 47 6 +23 0 0.9978 0.9987 0 6.358 2.342 22 7 41 10 0.9936 0.9987 0 10.901 3.131 22 7 78 6 +23 0 0.9978 0.9989 0 6.545 2.448 24 7 48 10 0.9938 0.9989 0 10.495 3.079 24 7 30 6 +23 0 0.9974 0.9989 0 6.114 2.353 9 5 36 9 0.9941 0.9989 0 10.184 2.986 9 5 20 5 +23 0 0.9962 0.9988 0 6.098 2.271 38 5 9 4 0.9941 0.9988 0 10.624 3.081 38 5 6 3 +23 0 0.997 0.9989 0 6.022 2.217 9 4 9 4 0.9944 0.9989 0 10.167 2.972 9 4 53 5 +23 0 0.9966 0.9989 0 6.107 2.281 15 6 10 4 0.9939 0.9989 0 10.452 3.038 15 6 17 5 +23 0 0.997 0.9989 0 7.158 2.549 43 6 36 9 0.9934 0.9989 0 11.434 3.214 43 6 82 6 +23 0 0.9974 0.9989 0 6.908 2.464 47 8 57 6 0.9937 0.9989 0 11.429 3.219 47 8 20 4 +24 0 0.9978 0.9989 0 5.959 2.274 6 4 13 6 0.9939 0.9989 0 10.429 3.055 6 4 88 6 +24 0 0.9975 0.9987 0 6.163 2.317 3 1 11 4 0.9939 0.9987 0 10.349 3.031 3 1 47 6 +24 0 0.9974 0.9988 0 6.311 2.338 13 6 7 3 0.9937 0.9988 0 10.718 3.1 13 6 78 6 +24 0 0.9969 0.9989 0 6.437 2.423 24 7 46 9 0.9939 0.9989 0 10.333 3.053 24 7 30 6 +24 0 0.9978 0.9989 0 5.886 2.273 9 5 11 4 0.9942 0.9989 0 10.012 2.957 9 5 20 5 +24 0 0.9976 0.9988 0 5.813 2.204 38 5 18 5 0.9942 0.9988 0 10.431 3.046 38 5 6 3 +24 0 0.9972 0.9989 0 5.783 2.133 9 4 11 4 0.9945 0.9989 0 9.992 2.939 9 4 53 5 +24 0 0.9972 0.9989 0 5.82 2.231 15 6 12 6 0.994 0.9989 0 10.267 3.006 15 6 17 5 +24 0 0.9972 0.9989 0 7.124 2.536 43 6 36 8 0.9935 0.9989 0 11.262 3.187 43 6 82 6 +24 0 0.9974 0.9989 0 6.692 2.417 47 8 59 6 0.9938 0.9989 0 11.24 3.187 47 8 20 4 +25 0 0.998 0.9989 0.9973 5.662 2.198 6 4 33 7 0.994 0.9989 0 10.246 3.022 6 4 88 6 +25 0 0.9963 0.9987 0 6.099 2.302 3 1 7 3 0.994 0.9987 0 10.186 3.003 3 1 47 6 +25 0 0.997 0.9988 0 6.196 2.308 13 6 29 8 0.9939 0.9988 0 10.544 3.069 13 6 78 6 +25 0 0.9974 0.9989 0 6.262 2.391 24 7 13 6 0.994 0.9989 0 10.176 3.027 24 7 30 6 +25 0 0.9972 0.9989 0 5.822 2.226 9 5 21 7 0.9943 0.9989 0 9.851 2.929 9 5 20 5 +25 0 0.9968 0.9988 0 5.649 2.121 37 5 14 5 0.9943 0.9988 0 10.248 3.01 37 5 6 3 +25 0 0.9976 0.9989 0 5.62 2.112 9 4 11 4 0.9946 0.9989 0 9.824 2.907 9 4 53 5 +25 0 0.9974 0.9989 0 5.774 2.197 15 6 19 7 0.9941 0.9989 0 10.094 2.975 15 6 17 5 +25 0 0.997 0.9989 0 6.815 2.443 43 6 7 3 0.9936 0.9989 0 11.091 3.158 43 6 82 6 +25 0 0.9966 0.9989 0 6.404 2.333 47 8 15 5 0.9939 0.9989 0 11.054 3.154 47 8 20 4 +26 0 0.997 0.9989 0 5.541 2.152 6 4 19 6 0.9941 0.9989 0 10.071 2.99 6 4 88 6 +26 0 0.9963 0.9987 0 6.037 2.257 3 1 36 11 0.9941 0.9987 0 10.032 2.975 3 1 47 6 +26 0 0.9968 0.9988 0 6.073 2.275 13 6 26 10 0.994 0.9988 0 10.378 3.04 13 6 78 6 +26 0 0.997 0.9989 0 6.156 2.352 24 7 10 3 0.9942 0.9989 0 10.028 3.002 24 7 30 6 +26 0 0.9966 0.9989 0 5.734 2.214 9 5 14 5 0.9944 0.9989 0 9.698 2.903 9 5 20 5 +26 0 0.9978 0.9988 0 5.595 2.106 37 5 21 9 0.9945 0.9988 0 10.075 2.977 37 5 6 3 +26 0 0.9972 0.9989 0 5.58 2.096 9 4 48 7 0.9947 0.9989 0 9.667 2.877 9 4 53 5 +26 0 0.9976 0.9989 0 5.515 2.113 15 6 17 5 0.9943 0.9989 0 9.925 2.943 15 6 17 5 +26 0 0.9966 0.9989 0 6.68 2.396 43 6 24 10 0.9938 0.9989 0 10.928 3.13 43 6 82 6 +26 0 0.9966 0.9989 0 6.199 2.259 47 8 34 14 0.994 0.9989 0 10.874 3.121 47 8 20 4 +27 0 0.9978 0.9989 0 5.229 2.045 6 4 26 6 0.9943 0.9989 0 9.898 2.956 6 4 88 6 +27 0 0.9973 0.9987 0 5.884 2.207 3 1 32 6 0.9942 0.9987 0 9.884 2.948 3 1 47 6 +27 0 0.9976 0.9988 0 5.772 2.189 13 6 12 6 0.9941 0.9988 0 10.214 3.009 13 6 78 6 +27 0 0.9974 0.9989 0 6.039 2.32 24 7 26 6 0.9943 0.9989 0 9.885 2.978 24 7 30 6 +27 0 0.9978 0.9989 0 5.573 2.16 9 5 14 5 0.9945 0.9989 0 9.551 2.876 9 5 20 5 +27 0 0.9978 0.9988 0 5.545 2.082 37 5 16 7 0.9946 0.9988 0 9.913 2.945 37 5 6 3 +27 0 0.9978 0.9989 0 5.473 2.057 9 4 63 10 0.9948 0.9989 0 9.517 2.847 9 4 53 5 +27 0 0.9974 0.9989 0 5.393 2.084 15 6 34 9 0.9944 0.9989 0 9.763 2.912 15 6 17 5 +27 0 0.9968 0.9989 0 6.519 2.337 43 6 7 3 0.9939 0.9989 0 10.77 3.102 43 6 82 6 +27 0 0.9972 0.9989 0 6.08 2.221 47 8 113 12 0.9941 0.9989 0 10.703 3.089 47 8 20 4 +28 0 0.9976 0.9989 0 5.1 1.989 6 4 17 5 0.9944 0.9989 0 9.733 2.923 6 4 88 6 +28 0 0.9971 0.9987 0 5.71 2.149 3 1 10 4 0.9943 0.9987 0 9.74 2.92 3 1 47 6 +28 0 0.9972 0.9988 0 5.569 2.137 13 6 18 5 0.9942 0.9988 0 10.053 2.979 13 6 78 6 +28 0 0.998 0.9989 0.9976 5.861 2.261 24 7 5 2 0.9944 0.9989 0 9.746 2.953 24 7 30 6 +28 0 0.9976 0.9989 0 5.358 2.088 9 5 8 4 0.9947 0.9989 0 9.406 2.849 9 5 20 5 +28 0 0.9968 0.9988 0 5.51 2.082 37 5 16 7 0.9946 0.9988 0 9.762 2.915 37 5 6 3 +28 0 0.9976 0.9989 0 5.383 2.027 9 4 73 9 0.9949 0.9989 0 9.374 2.819 9 4 53 5 +28 0 0.9968 0.9989 0 5.183 1.991 15 6 13 6 0.9945 0.9989 0 9.605 2.88 15 6 17 5 +28 0 0.9968 0.9989 0 6.273 2.266 43 6 21 8 0.994 0.9989 0 10.615 3.073 43 6 82 6 +28 0 0.9978 0.9989 0 5.824 2.162 47 8 33 9 0.9943 0.9989 0 10.534 3.057 47 8 20 4 +29 0 0.9976 0.9989 0 5.03 1.967 6 4 8 4 0.9945 0.9989 0 9.576 2.891 6 4 88 6 +29 0 0.9975 0.9987 0 5.441 2.072 28 11 14 4 0.9944 0.9987 0 9.597 2.892 28 11 47 6 +29 0 0.9978 0.9988 0 5.347 2.055 13 6 21 6 0.9943 0.9988 0 9.897 2.949 13 6 78 6 +29 0 0.9974 0.9989 0 5.791 2.228 24 7 17 7 0.9945 0.9989 0 9.614 2.929 24 7 30 6 +29 0 0.9978 0.9989 0 5.137 1.998 9 5 46 8 0.9948 0.9989 0 9.264 2.821 9 5 20 5 +29 0 0.9978 0.9988 0 5.269 2.004 37 5 27 10 0.9948 0.9988 0 9.612 2.885 37 5 6 3 +29 0 0.9976 0.9989 0 5.363 2.036 9 4 21 6 0.995 0.9989 0 9.241 2.793 9 4 53 5 +29 0 0.9974 0.9989 0 5.127 1.974 15 6 17 8 0.9946 0.9989 0 9.456 2.85 15 6 17 5 +29 0 0.9972 0.9989 0 6.006 2.215 43 6 19 8 0.9941 0.9989 0 10.461 3.044 43 6 82 6 +29 0 0.9972 0.9989 0 5.825 2.151 47 8 9 4 0.9944 0.9989 0 10.377 3.027 47 8 20 4 +30 0 0.9978 0.9989 0 4.841 1.902 6 4 9 3 0.9946 0.9989 0 9.423 2.859 6 4 88 6 +30 0 0.9973 0.9987 0 5.423 2.08 28 11 22 4 0.9945 0.9987 0 9.462 2.866 28 11 47 6 +30 0 0.9976 0.9988 0 5.122 1.998 13 6 9 4 0.9944 0.9988 0 9.743 2.918 13 6 78 6 +30 0 0.9976 0.9989 0 5.742 2.214 24 7 10 4 0.9946 0.9989 0 9.49 2.906 24 7 30 6 +30 0 0.9972 0.9989 0 5.063 1.96 9 5 12 4 0.9948 0.9989 0 9.129 2.793 9 5 20 5 +30 0 0.9972 0.9988 0 5.096 1.941 37 5 14 5 0.9948 0.9988 0 9.466 2.854 37 5 6 3 +30 0 0.9968 0.9989 0 5.216 2.003 9 4 10 5 0.9951 0.9989 0 9.111 2.768 9 4 53 5 +30 0 0.9974 0.9989 0 5.082 1.962 15 6 10 4 0.9946 0.9989 0 9.315 2.822 15 6 17 5 +30 0 0.997 0.9989 0 5.643 2.124 43 6 22 6 0.9942 0.9989 0 10.306 3.015 43 6 82 6 +30 0 0.9966 0.9989 0 5.835 2.119 47 8 8 3 0.9944 0.9989 0 10.231 2.998 47 8 20 4 +31 0 0.9972 0.9989 0 4.697 1.835 6 4 12 5 0.9947 0.9989 0 9.276 2.827 6 4 88 6 +31 0 0.9975 0.9987 0 5.16 2.009 28 11 23 7 0.9946 0.9987 0 9.327 2.839 28 11 47 6 +31 0 0.9974 0.9988 0 4.9 1.923 13 6 5 2 0.9945 0.9988 0 9.591 2.887 13 6 78 6 +31 0 0.9968 0.9989 0 5.586 2.159 24 7 7 3 0.9947 0.9989 0 9.368 2.883 24 7 30 6 +31 0 0.9976 0.9989 0 5.056 1.958 9 5 14 5 0.9949 0.9989 0 9.001 2.767 9 5 20 5 +31 0 0.997 0.9988 0 4.966 1.897 37 5 29 9 0.9949 0.9988 0 9.326 2.824 37 5 6 3 +31 0 0.9978 0.9989 0 5.06 1.935 9 4 12 4 0.9952 0.9989 0 8.984 2.742 9 4 53 5 +31 0 0.9974 0.9989 0 5.061 1.935 15 6 11 6 0.9947 0.9989 0 9.182 2.794 15 6 17 5 +31 0 0.997 0.9989 0 5.471 2.055 43 6 41 6 0.9943 0.9989 0 10.155 2.985 43 6 82 6 +31 0 0.9976 0.9989 0 5.563 2.04 28 8 49 10 0.9945 0.9989 0 10.085 2.968 28 8 20 4 +32 0 0.9976 0.9989 0 4.652 1.818 6 4 13 4 0.9948 0.9989 0 9.136 2.796 6 4 88 6 +32 0 0.9969 0.9987 0 5.032 1.958 28 11 13 5 0.9947 0.9987 0 9.197 2.812 28 11 47 6 +32 0 0.9974 0.9988 0 4.897 1.928 13 6 9 3 0.9946 0.9988 0 9.449 2.858 13 6 78 6 +32 0 0.9976 0.9989 0 5.532 2.142 24 7 14 7 0.9948 0.9989 0 9.251 2.86 24 7 30 6 +32 0 0.9972 0.9989 0 4.951 1.941 9 5 27 8 0.995 0.9989 0 8.879 2.742 9 5 20 5 +32 0 0.9972 0.9988 0 4.83 1.852 37 5 14 5 0.995 0.9988 0 9.189 2.795 37 5 6 3 +32 0 0.9972 0.9989 0 5.076 1.945 9 4 29 8 0.9952 0.9989 0 8.866 2.717 9 4 53 5 +32 0 0.9968 0.9989 0 4.978 1.907 15 6 8 4 0.9948 0.9989 0 9.054 2.767 15 6 17 5 +32 0 0.9974 0.9989 0 5.4 2.027 43 6 32 9 0.9944 0.9989 0 10.011 2.956 43 6 82 6 +32 0 0.9976 0.9989 0 5.462 2.027 28 8 7 3 0.9946 0.9989 0 9.945 2.939 28 8 20 4 +33 0 0.9974 0.9989 0 4.509 1.765 6 4 5 2 0.9948 0.9989 0 9 2.766 6 4 88 6 +33 0 0.9979 0.9987 0.997 4.825 1.894 28 11 16 6 0.9948 0.9987 0 9.069 2.785 28 11 47 6 +33 0 0.9976 0.9988 0 4.743 1.876 13 6 17 6 0.9947 0.9988 0 9.311 2.829 13 6 78 6 +33 0 0.9972 0.9989 0 5.529 2.144 24 7 21 9 0.9948 0.9989 0 9.142 2.839 24 7 30 6 +33 0 0.9976 0.9989 0 4.938 1.934 9 5 13 5 0.9951 0.9989 0 8.763 2.718 9 5 20 5 +33 0 0.9978 0.9988 0 4.797 1.85 37 5 13 5 0.9951 0.9988 0 9.06 2.767 37 5 6 3 +33 0 0.9978 0.9989 0 4.918 1.906 9 4 13 4 0.9953 0.9989 0 8.75 2.694 9 4 53 5 +33 0 0.9972 0.9989 0 4.799 1.866 15 6 10 4 0.9949 0.9989 0 8.929 2.74 15 6 17 5 +33 0 0.997 0.9989 0 5.359 2.023 43 6 19 5 0.9944 0.9989 0 9.874 2.928 43 6 82 6 +33 0 0.9972 0.9989 0 5.454 2.01 28 8 25 9 0.9947 0.9989 0 9.813 2.912 28 8 20 4 +34 0 0.9978 0.9989 0 4.541 1.801 6 4 9 5 0.9949 0.9989 0 8.872 2.738 6 4 88 6 +34 0 0.9979 0.9987 0.9976 4.713 1.838 28 11 9 4 0.9949 0.9987 0 8.944 2.758 28 11 47 6 +34 0 0.9974 0.9988 0 4.748 1.868 13 6 11 4 0.9948 0.9988 0 9.18 2.801 13 6 78 6 +34 0 0.9972 0.9989 0 5.364 2.079 24 7 15 4 0.9949 0.9989 0 9.034 2.817 24 7 30 6 +34 0 0.9972 0.9989 0 4.791 1.873 9 5 18 4 0.9951 0.9989 0 8.649 2.694 9 5 20 5 +34 0 0.9978 0.9988 0 4.892 1.878 37 5 13 6 0.9951 0.9988 0 8.941 2.742 37 5 6 3 +34 0 0.9966 0.9989 0 4.872 1.894 9 4 9 4 0.9953 0.9989 0 8.639 2.671 9 4 53 5 +34 0 0.9976 0.9989 0 4.766 1.877 15 6 8 4 0.9949 0.9989 0 8.81 2.716 15 6 17 5 +34 0 0.9974 0.9989 0 5.372 2.048 33 6 31 7 0.9945 0.9989 0 9.745 2.903 33 6 82 6 +34 0 0.9978 0.9989 0 5.289 1.994 28 8 28 8 0.9948 0.9989 0 9.684 2.886 28 8 20 4 +35 0 0.9976 0.9989 0 4.469 1.77 6 4 9 3 0.995 0.9989 0 8.75 2.712 6 4 88 6 +35 0 0.9971 0.9987 0 4.654 1.809 28 11 20 10 0.9949 0.9987 0 8.825 2.732 28 11 47 6 +35 0 0.9976 0.9988 0 4.688 1.855 13 6 16 5 0.9949 0.9988 0 9.055 2.775 13 6 78 6 +35 0 0.9978 0.9989 0 5.301 2.051 24 7 16 5 0.995 0.9989 0 8.93 2.796 24 7 30 6 +35 0 0.9974 0.9989 0 4.569 1.777 9 5 22 8 0.9952 0.9989 0 8.536 2.668 9 5 20 5 +35 0 0.9974 0.9988 0 4.876 1.872 37 5 11 5 0.9952 0.9988 0 8.828 2.718 37 5 6 3 +35 0 0.9972 0.9989 0 4.791 1.87 9 4 13 4 0.9954 0.9989 0 8.532 2.648 9 4 53 5 +35 0 0.9972 0.9989 0 4.808 1.897 15 6 22 5 0.995 0.9989 0 8.699 2.693 15 6 17 5 +35 0 0.997 0.9989 0 5.238 1.981 33 6 15 5 0.9946 0.9989 0 9.62 2.878 33 6 82 6 +35 0 0.9976 0.9989 0 5.195 1.971 28 8 15 4 0.9949 0.9989 0 9.559 2.86 28 8 20 4 +36 0 0.998 0.9989 0.9969 4.43 1.764 6 4 22 8 0.9951 0.9989 0 8.633 2.686 6 4 88 6 +36 0 0.9975 0.9987 0 4.572 1.776 28 11 13 4 0.995 0.9987 0 8.71 2.706 28 11 47 6 +36 0 0.9978 0.9988 0 4.691 1.848 13 6 23 8 0.9949 0.9988 0 8.937 2.75 13 6 78 6 +36 0 0.9974 0.9989 0 5.251 2.035 24 7 11 4 0.9951 0.9989 0 8.831 2.776 24 7 30 6 +36 0 0.9978 0.9989 0 4.437 1.739 9 5 46 10 0.9953 0.9989 0 8.425 2.643 9 5 20 5 +36 0 0.9978 0.9988 0 4.844 1.86 37 5 28 7 0.9953 0.9988 0 8.72 2.694 37 5 6 3 +36 0 0.9978 0.9989 0 4.698 1.818 9 4 43 9 0.9955 0.9989 0 8.428 2.626 9 4 53 5 +36 0 0.9972 0.9989 0 4.666 1.854 15 6 8 4 0.9951 0.9989 0 8.59 2.67 15 6 17 5 +36 0 0.9976 0.9989 0 4.99 1.888 33 6 8 3 0.9947 0.9989 0 9.495 2.851 33 6 82 6 +36 0 0.9968 0.9989 0 5.143 1.977 28 8 9 4 0.9949 0.9989 0 9.439 2.836 28 8 20 4 +37 0 0.997 0.9989 0 4.375 1.735 6 4 9 4 0.9951 0.9989 0 8.521 2.661 6 4 88 6 +37 0 0.9975 0.9987 0 4.538 1.761 28 11 21 9 0.9951 0.9987 0 8.6 2.681 28 11 47 6 +37 0 0.9978 0.9988 0 4.648 1.836 13 6 17 4 0.995 0.9988 0 8.825 2.726 13 6 78 6 +37 0 0.9972 0.9989 0 5.161 2 24 7 23 5 0.9951 0.9989 0 8.734 2.755 24 7 30 6 +37 0 0.9978 0.9989 0 4.452 1.741 9 5 16 5 0.9953 0.9989 0 8.321 2.619 9 5 20 5 +37 0 0.9978 0.9988 0 4.909 1.884 37 5 15 7 0.9953 0.9988 0 8.62 2.673 37 5 6 3 +37 0 0.9978 0.9989 0 4.71 1.822 9 4 6 3 0.9955 0.9989 0 8.331 2.605 9 4 53 5 +37 0 0.9978 0.9989 0 4.552 1.789 15 6 21 6 0.9951 0.9989 0 8.484 2.647 15 6 17 5 +37 0 0.9978 0.9989 0 5.004 1.897 33 6 14 6 0.9948 0.9989 0 9.377 2.826 33 6 82 6 +37 0 0.9978 0.9989 0 5.073 1.938 28 8 15 5 0.995 0.9989 0 9.325 2.813 28 8 20 4 +38 0 0.9978 0.9989 0 4.246 1.676 6 4 10 4 0.9952 0.9989 0 8.411 2.636 6 4 88 6 +38 0 0.9967 0.9987 0 4.47 1.728 28 11 7 3 0.9951 0.9987 0 8.494 2.657 28 11 47 6 +38 0 0.9978 0.9988 0 4.576 1.791 13 6 23 6 0.9951 0.9988 0 8.716 2.702 13 6 78 6 +38 0 0.9974 0.9989 0 5.012 1.941 24 7 14 5 0.9952 0.9989 0 8.639 2.734 24 7 30 6 +38 0 0.9978 0.9989 0 4.52 1.765 9 5 10 3 0.9954 0.9989 0 8.223 2.598 9 5 20 5 +38 0 0.9974 0.9988 0 4.929 1.898 37 5 35 6 0.9954 0.9988 0 8.525 2.653 37 5 6 3 +38 0 0.9974 0.9989 0 4.764 1.822 9 4 19 6 0.9956 0.9989 0 8.239 2.585 9 4 53 5 +38 0 0.9978 0.9989 0 4.455 1.757 15 6 12 4 0.9952 0.9989 0 8.38 2.624 15 6 17 5 +38 0 0.9974 0.9989 0 4.888 1.878 33 6 8 3 0.9948 0.9989 0 9.262 2.801 33 6 82 6 +38 0 0.9974 0.9989 0 5.005 1.922 26 8 20 7 0.9951 0.9989 0 9.214 2.79 26 8 20 4 +39 0 0.9978 0.9989 0 4.23 1.649 6 4 16 4 0.9953 0.9989 0 8.307 2.611 6 4 88 6 +39 0 0.9977 0.9987 0 4.496 1.735 28 11 25 6 0.9952 0.9987 0 8.394 2.633 28 11 47 6 +39 0 0.997 0.9988 0 4.521 1.768 11 6 9 4 0.9951 0.9988 0 8.611 2.679 11 6 78 6 +39 0 0.9976 0.9989 0 4.931 1.922 24 7 15 4 0.9952 0.9989 0 8.546 2.714 24 7 30 6 +39 0 0.9978 0.9989 0 4.456 1.756 9 5 19 8 0.9955 0.9989 0 8.129 2.576 9 5 20 5 +39 0 0.9976 0.9988 0 4.839 1.873 37 5 15 5 0.9954 0.9988 0 8.433 2.634 37 5 6 3 +39 0 0.9974 0.9989 0 4.719 1.814 9 4 28 7 0.9956 0.9989 0 8.151 2.566 9 4 53 5 +39 0 0.9974 0.9989 0 4.311 1.694 15 6 14 5 0.9953 0.9989 0 8.279 2.601 15 6 17 5 +39 0 0.9974 0.9989 0 4.951 1.908 33 6 7 3 0.9949 0.9989 0 9.154 2.779 33 6 82 6 +39 0 0.9972 0.9989 0 4.955 1.933 26 8 8 3 0.9951 0.9989 0 9.107 2.769 26 8 20 4 +40 0 0.9976 0.9989 0 4.236 1.658 6 4 7 3 0.9953 0.9989 0 8.208 2.588 6 4 88 6 +40 0 0.9977 0.9987 0 4.517 1.738 28 11 13 6 0.9952 0.9987 0 8.3 2.612 28 11 47 6 +40 0 0.9972 0.9988 0 4.507 1.77 11 6 6 2 0.9952 0.9988 0 8.511 2.657 11 6 78 6 +40 0 0.9974 0.9989 0 4.806 1.871 24 7 22 6 0.9953 0.9989 0 8.455 2.693 24 7 30 6 +40 0 0.9974 0.9989 0 4.549 1.807 9 5 23 10 0.9955 0.9989 0 8.042 2.558 9 5 20 5 +40 0 0.998 0.9988 0.9973 4.803 1.86 37 5 3 1 0.9955 0.9988 0 8.345 2.615 37 5 6 3 +40 0 0.9978 0.9989 0 4.639 1.807 9 4 13 4 0.9957 0.9989 0 8.065 2.547 9 4 53 5 +40 0 0.9974 0.9989 0 4.301 1.687 15 6 14 4 0.9953 0.9989 0 8.182 2.579 15 6 17 5 +40 0 0.9976 0.9989 0 5.058 1.954 33 6 11 4 0.995 0.9989 0 9.054 2.759 33 6 82 6 +40 0 0.9968 0.9989 0 4.94 1.907 26 8 24 6 0.9952 0.9989 0 9.006 2.748 26 8 20 4 +41 0 0.9974 0.9989 0 4.26 1.673 6 4 5 2 0.9954 0.9989 0 8.114 2.566 6 4 88 6 +41 0 0.9971 0.9987 0 4.592 1.764 28 11 9 3 0.9953 0.9987 0 8.212 2.591 28 11 47 6 +41 0 0.9978 0.9988 0 4.524 1.78 11 6 26 9 0.9952 0.9988 0 8.416 2.636 11 6 78 6 +41 0 0.9978 0.9989 0 4.768 1.849 24 7 7 3 0.9954 0.9989 0 8.367 2.673 24 7 30 6 +41 0 0.997 0.9989 0 4.404 1.742 9 5 21 8 0.9955 0.9989 0 7.955 2.538 9 5 20 5 +41 0 0.9978 0.9988 0 4.788 1.868 37 5 16 5 0.9955 0.9988 0 8.26 2.597 37 5 6 3 +41 0 0.997 0.9989 0 4.776 1.857 9 4 10 4 0.9957 0.9989 0 7.987 2.531 9 4 53 5 +41 0 0.9976 0.9989 0 4.388 1.714 15 6 14 7 0.9954 0.9989 0 8.091 2.558 15 6 17 5 +41 0 0.9974 0.9989 0 4.995 1.943 33 6 9 3 0.995 0.9989 0 8.957 2.739 33 6 82 6 +41 0 0.9974 0.9989 0 4.898 1.902 26 8 7 3 0.9952 0.9989 0 8.908 2.727 26 8 20 4 +42 0 0.9968 0.9989 0 4.255 1.673 6 4 9 4 0.9954 0.9989 0 8.024 2.545 6 4 88 6 +42 0 0.9979 0.9987 0.9951 4.616 1.797 28 11 22 8 0.9953 0.9987 0 8.128 2.573 28 11 47 6 +42 0 0.9978 0.9988 0 4.486 1.755 11 6 13 4 0.9953 0.9988 0 8.324 2.615 11 6 78 6 +42 0 0.9976 0.9989 0 4.63 1.81 24 7 22 6 0.9954 0.9989 0 8.28 2.653 24 7 30 6 +42 0 0.9974 0.9989 0 4.241 1.68 9 5 10 4 0.9956 0.9989 0 7.869 2.518 9 5 20 5 +42 0 0.9978 0.9988 0 4.805 1.876 37 5 18 7 0.9956 0.9988 0 8.18 2.58 37 5 6 3 +42 0 0.997 0.9989 0 4.796 1.861 9 4 17 6 0.9957 0.9989 0 7.913 2.515 9 4 53 5 +42 0 0.9976 0.9989 0 4.469 1.744 15 6 16 6 0.9954 0.9989 0 8.007 2.539 15 6 17 5 +42 0 0.9976 0.9989 0 5.007 1.947 33 6 11 4 0.9951 0.9989 0 8.866 2.721 33 6 82 6 +42 0 0.9974 0.9989 0 4.846 1.882 26 8 10 4 0.9953 0.9989 0 8.813 2.708 26 8 20 4 +43 0 0.9974 0.9989 0 4.305 1.689 6 4 15 5 0.9955 0.9989 0 7.939 2.526 6 4 88 6 +43 0 0.9971 0.9987 0 4.671 1.835 28 11 32 9 0.9954 0.9987 0 8.049 2.556 28 11 47 6 +43 0 0.997 0.9988 0 4.437 1.744 11 6 5 2 0.9953 0.9988 0 8.236 2.595 11 6 78 6 +43 0 0.998 0.9989 0.9972 4.691 1.823 24 7 22 6 0.9955 0.9989 0 8.199 2.634 24 7 30 6 +43 0 0.9974 0.9989 0 4.166 1.662 9 5 11 5 0.9956 0.9989 0 7.784 2.499 9 5 20 5 +43 0 0.9974 0.9988 0 4.742 1.872 37 5 12 4 0.9956 0.9988 0 8.102 2.564 37 5 6 3 +43 0 0.998 0.9989 0.9972 4.743 1.856 9 4 11 4 0.9958 0.9989 0 7.841 2.5 9 4 53 5 +43 0 0.9978 0.9989 0 4.566 1.781 15 6 12 4 0.9955 0.9989 0 7.929 2.522 15 6 17 5 +43 0 0.9972 0.9989 0 4.937 1.92 33 6 11 4 0.9951 0.9989 0 8.776 2.703 33 6 82 6 +43 0 0.9972 0.9989 0 4.905 1.909 26 8 15 6 0.9953 0.9989 0 8.725 2.69 26 8 20 4 +44 0 0.998 0.9989 0.9962 4.352 1.711 6 4 5 2 0.9955 0.9989 0 7.86 2.508 6 4 88 6 +44 0 0.9977 0.9987 0 4.657 1.836 28 11 11 4 0.9954 0.9987 0 7.974 2.54 28 11 47 6 +44 0 0.9978 0.9988 0 4.397 1.739 11 6 18 4 0.9954 0.9988 0 8.151 2.576 11 6 78 6 +44 0 0.9974 0.9989 0 4.706 1.828 24 7 8 3 0.9955 0.9989 0 8.121 2.616 24 7 30 6 +44 0 0.9976 0.9989 0 4.234 1.696 9 5 10 6 0.9957 0.9989 0 7.706 2.481 9 5 20 5 +44 0 0.998 0.9988 0.9958 4.636 1.818 37 5 9 4 0.9957 0.9988 0 8.025 2.548 37 5 6 3 +44 0 0.9972 0.9989 0 4.697 1.835 9 4 18 7 0.9958 0.9989 0 7.771 2.485 9 4 53 5 +44 0 0.9976 0.9989 0 4.52 1.762 15 6 12 4 0.9955 0.9989 0 7.853 2.505 15 6 17 5 +44 0 0.9978 0.9989 0 4.792 1.859 33 6 24 6 0.9952 0.9989 0 8.688 2.684 33 6 82 6 +44 0 0.9974 0.9989 0 4.983 1.936 26 8 28 8 0.9954 0.9989 0 8.641 2.673 26 8 20 4 +45 0 0.9972 0.9989 0 4.349 1.707 6 4 35 12 0.9956 0.9989 0 7.783 2.49 6 4 88 6 +45 0 0.9975 0.9987 0 4.703 1.845 28 11 16 5 0.9955 0.9987 0 7.903 2.525 28 11 47 6 +45 0 0.9978 0.9988 0 4.383 1.717 11 6 16 4 0.9954 0.9988 0 8.069 2.558 11 6 78 6 +45 0 0.9976 0.9989 0 4.617 1.805 24 7 12 5 0.9956 0.9989 0 8.045 2.599 24 7 30 6 +45 0 0.9976 0.9989 0 4.372 1.747 9 5 11 4 0.9957 0.9989 0 7.633 2.465 9 5 20 5 +45 0 0.9976 0.9988 0 4.691 1.824 37 5 33 10 0.9957 0.9988 0 7.952 2.532 37 5 6 3 +45 0 0.9978 0.9989 0 4.641 1.814 9 4 26 9 0.9959 0.9989 0 7.703 2.471 9 4 53 5 +45 0 0.998 0.9989 0.9976 4.513 1.766 15 6 10 5 0.9956 0.9989 0 7.78 2.489 15 6 17 5 +45 0 0.9978 0.9989 0 4.831 1.879 33 6 17 6 0.9952 0.9989 0 8.604 2.667 33 6 82 6 +45 0 0.9978 0.9989 0 4.849 1.88 26 8 16 6 0.9954 0.9989 0 8.559 2.656 26 8 20 4 +46 0 0.998 0.9989 0.9962 4.345 1.708 6 4 5 2 0.9956 0.9989 0 7.71 2.474 6 4 88 6 +46 0 0.9977 0.9987 0 4.612 1.801 28 11 12 5 0.9955 0.9987 0 7.833 2.51 28 11 47 6 +46 0 0.9978 0.9988 0 4.374 1.717 11 6 14 5 0.9955 0.9988 0 7.99 2.54 11 6 78 6 +46 0 0.9976 0.9989 0 4.531 1.77 24 7 10 5 0.9956 0.9989 0 7.97 2.581 24 7 30 6 +46 0 0.997 0.9989 0 4.299 1.7 9 5 10 4 0.9958 0.9989 0 7.562 2.449 9 5 20 5 +46 0 0.9968 0.9988 0 4.679 1.814 37 5 9 4 0.9958 0.9988 0 7.883 2.517 37 5 6 3 +46 0 0.998 0.9989 0.9977 4.717 1.856 9 4 13 4 0.9959 0.9989 0 7.639 2.458 9 4 53 5 +46 0 0.9978 0.9989 0 4.495 1.753 15 6 17 6 0.9956 0.9989 0 7.711 2.473 15 6 17 5 +46 0 0.9978 0.9989 0 4.787 1.85 33 6 8 4 0.9953 0.9989 0 8.523 2.649 33 6 82 6 +46 0 0.997 0.9989 0 4.687 1.824 26 8 9 4 0.9954 0.9989 0 8.477 2.638 26 8 20 4 +47 0 0.9978 0.9989 0 4.348 1.698 6 4 9 4 0.9956 0.9989 0 7.64 2.457 6 4 88 6 +47 0 0.9975 0.9987 0 4.491 1.751 28 11 11 4 0.9956 0.9987 0 7.763 2.494 28 11 47 6 +47 0 0.9976 0.9988 0 4.272 1.676 11 6 13 5 0.9955 0.9988 0 7.913 2.522 11 6 78 6 +47 0 0.9978 0.9989 0 4.52 1.758 24 7 9 4 0.9956 0.9989 0 7.898 2.564 24 7 30 6 +47 0 0.9976 0.9989 0 4.339 1.72 9 5 6 3 0.9958 0.9989 0 7.495 2.434 9 5 20 5 +47 0 0.9976 0.9988 0 4.657 1.807 37 5 5 2 0.9958 0.9988 0 7.815 2.502 37 5 6 3 +47 0 0.9976 0.9989 0 4.659 1.828 9 4 12 6 0.9959 0.9989 0 7.577 2.444 9 4 53 5 +47 0 0.9978 0.9989 0 4.477 1.757 15 6 8 4 0.9957 0.9989 0 7.643 2.458 15 6 17 5 +47 0 0.9976 0.9989 0 4.72 1.829 33 6 18 7 0.9953 0.9989 0 8.443 2.632 33 6 82 6 +47 0 0.9974 0.9989 0 4.685 1.811 26 8 11 6 0.9955 0.9989 0 8.398 2.621 26 8 20 4 +48 0 0.9976 0.9989 0 4.307 1.684 6 4 15 7 0.9957 0.9989 0 7.572 2.442 6 4 88 6 +48 0 0.9975 0.9987 0 4.486 1.756 28 11 17 6 0.9956 0.9987 0 7.696 2.479 28 11 47 6 +48 0 0.9974 0.9988 0 4.397 1.721 11 6 20 7 0.9956 0.9988 0 7.841 2.505 11 6 78 6 +48 0 0.9976 0.9989 0 4.459 1.737 24 7 11 4 0.9957 0.9989 0 7.828 2.547 24 7 30 6 +48 0 0.9978 0.9989 0 4.321 1.719 9 5 9 4 0.9958 0.9989 0 7.43 2.419 9 5 20 5 +48 0 0.998 0.9988 0.9939 4.588 1.761 37 5 19 5 0.9958 0.9988 0 7.749 2.487 37 5 6 3 +48 0 0.9974 0.9989 0 4.722 1.83 9 4 8 4 0.996 0.9989 0 7.519 2.432 9 4 53 5 +48 0 0.997 0.9989 0 4.368 1.73 15 6 5 2 0.9957 0.9989 0 7.576 2.444 15 6 17 5 +48 0 0.998 0.9989 0.9975 4.607 1.773 33 6 9 4 0.9954 0.9989 0 8.365 2.615 33 6 82 6 +48 0 0.9968 0.9989 0 4.668 1.806 26 8 19 5 0.9955 0.9989 0 8.322 2.604 26 8 20 4 +49 0 0.9974 0.9989 0 4.36 1.719 6 4 13 5 0.9957 0.9989 0 7.508 2.427 6 4 88 6 +49 0 0.9973 0.9987 0 4.42 1.734 28 11 21 8 0.9956 0.9987 0 7.631 2.464 28 11 47 6 +49 0 0.9974 0.9988 0 4.328 1.699 11 6 7 3 0.9956 0.9988 0 7.771 2.489 11 6 78 6 +49 0 0.9978 0.9989 0 4.426 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0.9989 0 4.539 1.752 33 6 9 3 0.9955 0.9989 0 8.149 2.566 33 6 82 6 +51 0 0.9974 0.9989 0 4.642 1.801 26 8 14 5 0.9956 0.9989 0 8.11 2.558 26 8 20 4 diff --git a/PartB/90Cross90Mut2El/run_0/regress.bst b/PartB/90Cross90Mut2El/run_0/regress.bst new file mode 100644 index 0000000..4d67161 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_0/regress.bst @@ -0,0 +1,18 @@ +=== BEST-OF-RUN === + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +TREE-equ: +y = log((log(log(perimeter)) + -0.81321)) diff --git a/PartB/90Cross90Mut2El/run_0/regress.fn b/PartB/90Cross90Mut2El/run_0/regress.fn new file mode 100644 index 0000000..a2bffad --- /dev/null +++ b/PartB/90Cross90Mut2El/run_0/regress.fn @@ -0,0 +1,12 @@ +Hits: 2567, Total Size: 2810, Percent Hit: 91.352313 +CC: 999 +CO: 123 +OO: 1568 +OC: 120 +Fitness: 0.998902 +Hits: 910 + + +y = log((log(log(perimeter)) + -0.81321)) + + (log (+ (log (log perimeter)) -0.81321)) diff --git a/PartB/90Cross90Mut2El/run_0/regress.gen b/PartB/90Cross90Mut2El/run_0/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_0/regress.his b/PartB/90Cross90Mut2El/run_0/regress.his new file mode 100644 index 0000000..93c3eeb --- /dev/null +++ b/PartB/90Cross90Mut2El/run_0/regress.his @@ -0,0 +1,960 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 39 + depth: 6 + hits: 808 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 808 + raw fitness: 808.0000 + standardized fitness: 808.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (+ (exp (- extent area)) + (- (+ convex 0.77586) + (* perimeter convex)))) + (+ (exp (* (- eccentricity major) + (+ minor eccentricity))) + (log (* (/ extent extent) + (- eccentricity -0.26866))))) + (exp (log (log (log (+ area extent)))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 39 + depth: 6 + hits: 808 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 808 + raw fitness: 808.0000 + standardized fitness: 808.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (+ (exp (- extent area)) + (- (+ convex 0.77586) + (* perimeter convex)))) + (+ (exp (* (- eccentricity major) + (+ minor eccentricity))) + (log (* (/ extent extent) + (- eccentricity -0.26866))))) + (exp (log (log (log (+ area extent)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 39 + depth: 6 + hits: 808 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 808 + raw fitness: 808.0000 + standardized fitness: 808.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (+ (exp (- extent area)) + (- (+ convex 0.77586) + (* perimeter convex)))) + (+ (exp (* (- eccentricity major) + (+ minor eccentricity))) + (log (* (/ extent extent) + (- eccentricity -0.26866))))) + (exp (log (log (log (+ area extent)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 39 + depth: 6 + hits: 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+-- #1 -- + hits: 808 + raw fitness: 808.0000 + standardized fitness: 808.0000 + adjusted fitness: 0.9988 +TREE: + (- (* (log (+ (exp (- extent area)) + (- (+ convex 0.77586) + (* perimeter convex)))) + (+ (exp (* (- eccentricity major) + (+ minor eccentricity))) + (log (* (/ extent extent) + (- eccentricity -0.26866))))) + (exp (log (log (log (+ area extent)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 21 + depth: 7 + hits: 837 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 837 + raw fitness: 837.0000 + standardized fitness: 837.0000 + adjusted fitness: 0.9988 +TREE: + (* (log (exp (- (/ (* major eccentricity) + (log -0.80955)) + (/ (* extent perimeter) + (exp (+ major convex)))))) + (+ perimeter extent)) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 32 + depth: 9 + hits: 851 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 851 + raw fitness: 851.0000 + standardized fitness: 851.0000 + adjusted fitness: 0.9988 +TREE: + (- (- (exp (- (log (* (exp 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standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 41 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 42 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 43 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 44 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 45 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 46 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 47 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 48 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 49 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 50 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) +=== BEST-OF-RUN === + current generation: 51 + generation: 12 + nodes: 6 + depth: 4 + hits: 910 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 910 + raw fitness: 910.0000 + standardized fitness: 910.0000 + adjusted fitness: 0.9989 +TREE: + (log (+ (log (log perimeter)) -0.81321)) diff --git a/PartB/90Cross90Mut2El/run_0/regress.prg b/PartB/90Cross90Mut2El/run_0/regress.prg new file mode 100644 index 0000000..e4ea76f --- /dev/null +++ b/PartB/90Cross90Mut2El/run_0/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 14500.00000, perimeter = 504.06799, major_axis_length = 218.90503, minor_axis_length = 85.14117, eccentricity = 0.92126, convex_area = 14864.00000, extent = 0.61990, type = C + area = 11215.00000, perimeter = 421.17999, major_axis_length = 179.53351, minor_axis_length = 79.69018, eccentricity = 0.89609, convex_area = 11373.00000, extent = 0.58290, type = O + area = 10286.00000, perimeter = 401.78900, major_axis_length = 159.07466, minor_axis_length = 83.59863, eccentricity = 0.85077, convex_area = 10524.00000, extent = 0.77014, type = O + area = 13328.00000, 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extent = 0.59204, type = O + area = 14189.00000, perimeter = 491.97299, major_axis_length = 209.93643, minor_axis_length = 86.80910, eccentricity = 0.91050, convex_area = 14496.00000, extent = 0.55099, type = C + area = 14436.00000, perimeter = 486.98901, major_axis_length = 204.49770, minor_axis_length = 90.86436, eccentricity = 0.89586, convex_area = 14709.00000, extent = 0.64186, type = C + area = 11964.00000, perimeter = 447.50601, major_axis_length = 191.44385, minor_axis_length = 80.27491, eccentricity = 0.90784, convex_area = 12166.00000, extent = 0.75468, type = O diff --git a/PartB/90Cross90Mut2El/run_0/regress.stt b/PartB/90Cross90Mut2El/run_0/regress.stt new file mode 100644 index 0000000..54ee9c6 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_0/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9613 0.9988 0.0000 17.921 3.461 39 6 88 6 0.9613 0.9988 0.0000 17.921 3.461 39 6 88 6 +1 0 0.9890 0.9988 0.0000 16.205 3.524 39 6 22 5 0.9752 0.9988 0.0000 17.063 3.493 39 6 88 6 +2 0 0.9917 0.9988 0.0000 15.957 3.613 39 6 23 6 0.9807 0.9988 0.0000 16.694 3.533 39 6 88 6 +3 0 0.9920 0.9988 0.0000 15.149 3.631 39 6 76 6 0.9835 0.9988 0.0000 16.308 3.558 39 6 88 6 +4 0 0.9930 0.9988 0.0000 14.415 3.622 39 6 31 6 0.9854 0.9988 0.0000 15.930 3.571 39 6 88 6 +5 0 0.9940 0.9988 0.0000 13.613 3.536 39 6 16 5 0.9869 0.9988 0.0000 15.543 3.565 39 6 88 6 +6 0 0.9935 0.9988 0.0000 13.135 3.519 21 7 71 11 0.9878 0.9988 0.0000 15.199 3.558 21 7 88 6 +7 0 0.9944 0.9988 0.0000 12.161 3.400 32 9 20 6 0.9886 0.9988 0.0000 14.820 3.538 32 9 88 6 +8 0 0.9918 0.9988 0.0000 11.717 3.343 32 9 23 8 0.9890 0.9988 0.0000 14.475 3.517 32 9 88 6 +9 0 0.9940 0.9988 0.0000 10.936 3.237 32 9 27 6 0.9895 0.9988 0.0000 14.121 3.489 32 9 88 6 +10 0 0.9960 0.9988 0.0000 10.593 3.218 32 9 13 6 0.9901 0.9988 0.0000 13.800 3.464 32 9 88 6 +11 0 0.9968 0.9988 0.0000 10.023 3.126 32 9 15 5 0.9906 0.9988 0.0000 13.485 3.436 32 9 88 6 +12 0 0.9962 0.9989 0.0000 9.630 3.086 6 4 97 9 0.9911 0.9989 0.0000 13.189 3.409 6 4 88 6 +13 0 0.9954 0.9989 0.0000 9.141 3.046 6 4 49 11 0.9914 0.9989 0.0000 12.900 3.383 6 4 88 6 +14 0 0.9954 0.9989 0.0000 8.687 2.940 6 4 32 6 0.9917 0.9989 0.0000 12.619 3.354 6 4 88 6 +15 0 0.9960 0.9989 0.0000 8.433 2.938 6 4 11 4 0.9919 0.9989 0.0000 12.357 3.328 6 4 88 6 +16 0 0.9966 0.9989 0.0000 8.215 2.898 6 4 37 11 0.9922 0.9989 0.0000 12.114 3.302 6 4 88 6 +17 0 0.9968 0.9989 0.0000 7.859 2.828 6 4 17 5 0.9925 0.9989 0.0000 11.877 3.276 6 4 88 6 +18 0 0.9974 0.9989 0.0000 7.433 2.697 6 4 24 6 0.9927 0.9989 0.0000 11.643 3.245 6 4 88 6 +19 0 0.9970 0.9989 0.0000 7.169 2.630 6 4 13 4 0.9929 0.9989 0.0000 11.420 3.215 6 4 88 6 +20 0 0.9974 0.9989 0.0000 6.915 2.568 6 4 7 3 0.9932 0.9989 0.0000 11.205 3.184 6 4 88 6 +21 0 0.9974 0.9989 0.0000 6.733 2.495 6 4 12 4 0.9933 0.9989 0.0000 11.002 3.153 6 4 88 6 +22 0 0.9977 0.9989 0.0000 6.475 2.407 6 4 74 13 0.9935 0.9989 0.0000 10.805 3.120 6 4 88 6 +23 0 0.9972 0.9989 0.0000 6.252 2.336 6 4 15 6 0.9937 0.9989 0.0000 10.615 3.087 6 4 88 6 +24 0 0.9978 0.9989 0.0000 5.959 2.274 6 4 13 6 0.9939 0.9989 0.0000 10.429 3.055 6 4 88 6 +25 0 0.9980 0.9989 0.9973 5.662 2.198 6 4 33 7 0.9940 0.9989 0.0000 10.246 3.022 6 4 88 6 +26 0 0.9970 0.9989 0.0000 5.541 2.152 6 4 19 6 0.9941 0.9989 0.0000 10.071 2.990 6 4 88 6 +27 0 0.9978 0.9989 0.0000 5.229 2.045 6 4 26 6 0.9943 0.9989 0.0000 9.898 2.956 6 4 88 6 +28 0 0.9976 0.9989 0.0000 5.100 1.989 6 4 17 5 0.9944 0.9989 0.0000 9.733 2.923 6 4 88 6 +29 0 0.9976 0.9989 0.0000 5.030 1.967 6 4 8 4 0.9945 0.9989 0.0000 9.576 2.891 6 4 88 6 +30 0 0.9978 0.9989 0.0000 4.841 1.902 6 4 9 3 0.9946 0.9989 0.0000 9.423 2.859 6 4 88 6 +31 0 0.9972 0.9989 0.0000 4.697 1.835 6 4 12 5 0.9947 0.9989 0.0000 9.276 2.827 6 4 88 6 +32 0 0.9976 0.9989 0.0000 4.652 1.818 6 4 13 4 0.9948 0.9989 0.0000 9.136 2.796 6 4 88 6 +33 0 0.9974 0.9989 0.0000 4.509 1.765 6 4 5 2 0.9948 0.9989 0.0000 9.000 2.766 6 4 88 6 +34 0 0.9978 0.9989 0.0000 4.541 1.801 6 4 9 5 0.9949 0.9989 0.0000 8.872 2.738 6 4 88 6 +35 0 0.9976 0.9989 0.0000 4.469 1.770 6 4 9 3 0.9950 0.9989 0.0000 8.750 2.712 6 4 88 6 +36 0 0.9980 0.9989 0.9969 4.430 1.764 6 4 22 8 0.9951 0.9989 0.0000 8.633 2.686 6 4 88 6 +37 0 0.9970 0.9989 0.0000 4.375 1.735 6 4 9 4 0.9951 0.9989 0.0000 8.521 2.661 6 4 88 6 +38 0 0.9978 0.9989 0.0000 4.246 1.676 6 4 10 4 0.9952 0.9989 0.0000 8.411 2.636 6 4 88 6 +39 0 0.9978 0.9989 0.0000 4.230 1.649 6 4 16 4 0.9953 0.9989 0.0000 8.307 2.611 6 4 88 6 +40 0 0.9976 0.9989 0.0000 4.236 1.658 6 4 7 3 0.9953 0.9989 0.0000 8.208 2.588 6 4 88 6 +41 0 0.9974 0.9989 0.0000 4.260 1.673 6 4 5 2 0.9954 0.9989 0.0000 8.114 2.566 6 4 88 6 +42 0 0.9968 0.9989 0.0000 4.255 1.673 6 4 9 4 0.9954 0.9989 0.0000 8.024 2.545 6 4 88 6 +43 0 0.9974 0.9989 0.0000 4.305 1.689 6 4 15 5 0.9955 0.9989 0.0000 7.939 2.526 6 4 88 6 +44 0 0.9980 0.9989 0.9962 4.352 1.711 6 4 5 2 0.9955 0.9989 0.0000 7.860 2.508 6 4 88 6 +45 0 0.9972 0.9989 0.0000 4.349 1.707 6 4 35 12 0.9956 0.9989 0.0000 7.783 2.490 6 4 88 6 +46 0 0.9980 0.9989 0.9962 4.345 1.708 6 4 5 2 0.9956 0.9989 0.0000 7.710 2.474 6 4 88 6 +47 0 0.9978 0.9989 0.0000 4.348 1.698 6 4 9 4 0.9956 0.9989 0.0000 7.640 2.457 6 4 88 6 +48 0 0.9976 0.9989 0.0000 4.307 1.684 6 4 15 7 0.9957 0.9989 0.0000 7.572 2.442 6 4 88 6 +49 0 0.9974 0.9989 0.0000 4.360 1.719 6 4 13 5 0.9957 0.9989 0.0000 7.508 2.427 6 4 88 6 +50 0 0.9974 0.9989 0.0000 4.342 1.708 6 4 15 5 0.9958 0.9989 0.0000 7.446 2.413 6 4 88 6 +51 0 0.9974 0.9989 0.0000 4.286 1.679 6 4 9 3 0.9958 0.9989 0.0000 7.385 2.399 6 4 88 6 diff --git a/PartB/90Cross90Mut2El/run_0/regress.sys b/PartB/90Cross90Mut2El/run_0/regress.sys new file mode 100644 index 0000000..7c2163e --- /dev/null +++ b/PartB/90Cross90Mut2El/run_0/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 206. +creating initial population(s): + 7354 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (1s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 62044411 + freed: 61996411 + not freed: 48000 + max allocated: 2491702 + malloc'ed blocks: 924769 + realloc'ed blocks: 7 + free'ed blocks: 924763 + +------- time ------- + overall: 31s wall + evaluation: 26s wall + breeding: 4s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 23808 + freed: 23808 + allocated: 5500 + blocks: 10 diff --git a/PartB/90Cross90Mut2El/run_1/regress.bst b/PartB/90Cross90Mut2El/run_1/regress.bst new file mode 100644 index 0000000..be091f0 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_1/regress.bst @@ -0,0 +1,23 @@ +=== BEST-OF-RUN === + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +TREE-equ: +y = (-0.56675 - ((convex * (((exp((major / (major / 0.85721))) - log(log((exp(log(0.36280)) / ((-0.40757 / -0.64541) + area))))) * extent) * convex)) * extent)) diff --git a/PartB/90Cross90Mut2El/run_1/regress.fn b/PartB/90Cross90Mut2El/run_1/regress.fn new file mode 100644 index 0000000..5589a48 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_1/regress.fn @@ -0,0 +1,17 @@ +Hits: 2308, Total Size: 2810, Percent Hit: 82.135231 +CC: 673 +CO: 481 +OO: 1635 +OC: 21 +Fitness: 0.998745 +Hits: 796 + + +y = (-0.56675 - ((convex * (((exp((major / (major / 0.85721))) - log(log((exp(log(0.36280)) / ((-0.40757 / -0.64541) + area))))) * extent) * convex)) * extent)) + + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) diff --git a/PartB/90Cross90Mut2El/run_1/regress.gen b/PartB/90Cross90Mut2El/run_1/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_1/regress.his b/PartB/90Cross90Mut2El/run_1/regress.his new file mode 100644 index 0000000..0d0d2bc --- /dev/null +++ b/PartB/90Cross90Mut2El/run_1/regress.his @@ -0,0 +1,1010 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 31 + depth: 5 + hits: 630 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 630 + raw fitness: 630.0000 + standardized fitness: 630.0000 + adjusted fitness: 0.9984 +TREE: + (/ (exp (/ (- (log convex) + (* convex extent)) + (/ (+ major eccentricity) + (+ eccentricity extent)))) + (log (log (/ (- convex area) + (+ minor extent))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 11 + depth: 3 + hits: 727 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 727 + raw fitness: 727.0000 + standardized fitness: 727.0000 + adjusted fitness: 0.9986 +TREE: + (/ (- (log eccentricity) + (+ eccentricity major)) + (exp (/ perimeter extent))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 4 + depth: 2 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (+ 0.12228 + (log eccentricity)) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 4 + depth: 2 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (+ 0.12228 + (log eccentricity)) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 4 + depth: 2 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (+ 0.12228 + (log eccentricity)) +=== BEST-OF-RUN === + current generation: 5 + generation: 2 + nodes: 4 + depth: 2 + hits: 778 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 778 + raw fitness: 778.0000 + standardized fitness: 778.0000 + adjusted fitness: 0.9987 +TREE: + (+ 0.12228 + (log eccentricity)) +=== BEST-OF-RUN === + current generation: 6 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 7 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 8 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 9 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 10 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 11 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 12 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 13 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 14 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 15 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 16 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 17 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 18 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 19 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 20 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 21 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 22 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 23 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 24 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 25 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 26 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 27 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 28 + generation: 6 + nodes: 3 + depth: 1 + hits: 781 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 781 + raw fitness: 781.0000 + standardized fitness: 781.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.88840) +=== BEST-OF-RUN === + current generation: 29 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 30 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 31 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + 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28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 37 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 38 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 39 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 40 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 41 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 42 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 43 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + 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extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 46 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 47 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw fitness: 796.0000 + standardized fitness: 796.0000 + adjusted fitness: 0.9987 +TREE: + (- -0.56675 + (* (* convex + (* (* (- (exp (/ major + (/ major 0.85721))) + (log (log (/ (exp (log 0.36280)) + (+ (/ -0.40757 -0.64541) area))))) extent) convex)) extent)) +=== BEST-OF-RUN === + current generation: 48 + generation: 29 + nodes: 28 + depth: 11 + hits: 796 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 796 + raw 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minor_axis_length = 94.36982, eccentricity = 0.88799, convex_area = 15322.00000, extent = 0.78723, type = C + area = 10524.00000, perimeter = 402.49500, major_axis_length = 164.08194, minor_axis_length = 82.46438, eccentricity = 0.86453, convex_area = 10713.00000, extent = 0.63253, type = O + area = 12317.00000, perimeter = 432.30099, major_axis_length = 174.63092, minor_axis_length = 90.63893, eccentricity = 0.85476, convex_area = 12506.00000, extent = 0.63802, type = O + area = 11782.00000, perimeter = 433.73700, major_axis_length = 182.74081, minor_axis_length = 83.04752, eccentricity = 0.89077, convex_area = 12083.00000, extent = 0.75657, type = O + area = 11123.00000, perimeter = 426.85599, major_axis_length = 181.08180, minor_axis_length = 79.00098, eccentricity = 0.89981, convex_area = 11362.00000, extent = 0.76206, type = O + area = 10727.00000, perimeter = 408.04199, major_axis_length = 163.17136, minor_axis_length = 84.78304, eccentricity = 0.85441, convex_area = 11017.00000, extent = 0.69206, type = O + area = 12549.00000, perimeter = 448.84799, major_axis_length = 175.84604, minor_axis_length = 92.87819, eccentricity = 0.84913, convex_area = 12989.00000, extent = 0.66499, type = O + area = 12416.00000, perimeter = 447.96301, major_axis_length = 187.29955, minor_axis_length = 85.39175, eccentricity = 0.89003, convex_area = 12660.00000, extent = 0.62058, type = O + area = 11702.00000, perimeter = 432.77399, major_axis_length = 177.72461, minor_axis_length = 84.66332, eccentricity = 0.87924, convex_area = 11975.00000, extent = 0.59716, type = C + area = 10788.00000, perimeter = 414.90701, major_axis_length = 169.60159, minor_axis_length = 82.25015, eccentricity = 0.87454, convex_area = 11083.00000, extent = 0.64832, type = O + area = 12886.00000, perimeter = 455.51801, major_axis_length = 189.85989, minor_axis_length = 87.49918, eccentricity = 0.88747, convex_area = 13080.00000, extent = 0.59230, type = C + area = 12081.00000, perimeter = 431.52100, major_axis_length = 173.52229, minor_axis_length = 89.55707, eccentricity = 0.85652, convex_area = 12315.00000, extent = 0.78043, type = O + area = 10516.00000, perimeter = 423.39999, major_axis_length = 175.92067, minor_axis_length = 77.73805, eccentricity = 0.89707, convex_area = 10787.00000, extent = 0.63687, type = O + area = 17338.00000, perimeter = 530.04401, major_axis_length = 222.08437, minor_axis_length = 100.54912, eccentricity = 0.89164, convex_area = 17725.00000, extent = 0.79245, type = C + area = 15757.00000, perimeter = 509.28101, major_axis_length = 207.29668, minor_axis_length = 98.33614, eccentricity = 0.88032, convex_area = 16150.00000, extent = 0.58971, type = C + area = 9768.00000, perimeter = 413.55801, major_axis_length = 179.79776, minor_axis_length = 69.92797, eccentricity = 0.92127, convex_area = 9943.00000, extent = 0.70253, type = O + area = 10781.00000, perimeter = 414.95499, major_axis_length = 169.73618, minor_axis_length = 82.24104, eccentricity = 0.87478, convex_area = 11069.00000, extent = 0.69934, type = O + area = 12770.00000, perimeter = 458.30200, major_axis_length = 196.63278, minor_axis_length = 83.19528, eccentricity = 0.90608, convex_area = 12949.00000, extent = 0.60287, type = C + area = 13942.00000, perimeter = 502.03101, major_axis_length = 214.33798, minor_axis_length = 83.71970, eccentricity = 0.92056, convex_area = 14273.00000, extent = 0.64451, type = C + area = 14677.00000, perimeter = 498.79800, major_axis_length = 209.87415, minor_axis_length = 90.27248, eccentricity = 0.90277, convex_area = 15060.00000, extent = 0.64785, type = C + area = 16431.00000, perimeter = 509.38501, major_axis_length = 208.05287, minor_axis_length = 101.96149, eccentricity = 0.87168, convex_area = 16875.00000, extent = 0.73222, type = C + area = 15252.00000, perimeter = 502.59100, major_axis_length = 211.63116, minor_axis_length = 92.19616, eccentricity = 0.90012, convex_area = 15495.00000, extent = 0.57446, type = C + area = 11780.00000, perimeter = 435.67099, major_axis_length = 181.69832, minor_axis_length = 83.58512, eccentricity = 0.88791, convex_area = 11975.00000, extent = 0.80796, type = O + area = 11304.00000, perimeter = 419.18100, major_axis_length = 171.37912, minor_axis_length = 84.67481, eccentricity = 0.86942, convex_area = 11504.00000, extent = 0.72092, type = O + area = 13678.00000, perimeter = 472.12299, major_axis_length = 200.25354, minor_axis_length = 88.02669, eccentricity = 0.89821, convex_area = 13879.00000, extent = 0.57884, type = C + area = 14471.00000, perimeter = 491.34201, major_axis_length = 200.41316, minor_axis_length = 92.81940, eccentricity = 0.88629, convex_area = 14736.00000, extent = 0.58597, type = C + area = 14466.00000, perimeter = 497.84000, major_axis_length = 204.40955, minor_axis_length = 91.21478, eccentricity = 0.89492, convex_area = 14885.00000, extent = 0.65650, type = C diff --git a/PartB/90Cross90Mut2El/run_1/regress.stt b/PartB/90Cross90Mut2El/run_1/regress.stt new file mode 100644 index 0000000..ad1fc4f --- /dev/null +++ b/PartB/90Cross90Mut2El/run_1/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9568 0.9984 0.0000 18.507 3.493 31 5 47 6 0.9568 0.9984 0.0000 18.507 3.493 31 5 47 6 +1 0 0.9890 0.9986 0.0000 16.025 3.514 11 3 58 7 0.9729 0.9986 0.0000 17.266 3.504 11 3 47 6 +2 0 0.9909 0.9987 0.0000 15.205 3.538 4 2 90 7 0.9789 0.9987 0.0000 16.579 3.515 4 2 47 6 +3 0 0.9921 0.9987 0.0000 14.618 3.548 4 2 37 6 0.9822 0.9987 0.0000 16.089 3.523 4 2 47 6 +4 0 0.9944 0.9987 0.0000 13.546 3.523 4 2 59 7 0.9846 0.9987 0.0000 15.580 3.523 4 2 47 6 +5 0 0.9944 0.9987 0.0000 13.156 3.540 4 2 44 6 0.9863 0.9987 0.0000 15.176 3.526 4 2 47 6 +6 0 0.9950 0.9987 0.0000 12.535 3.487 3 1 30 5 0.9875 0.9987 0.0000 14.799 3.520 3 1 47 6 +7 0 0.9944 0.9987 0.0000 12.241 3.459 3 1 43 6 0.9884 0.9987 0.0000 14.479 3.513 3 1 47 6 +8 0 0.9958 0.9987 0.0000 11.541 3.348 3 1 43 8 0.9892 0.9987 0.0000 14.153 3.494 3 1 47 6 +9 0 0.9959 0.9987 0.0000 11.105 3.294 3 1 73 9 0.9899 0.9987 0.0000 13.848 3.474 3 1 47 6 +10 0 0.9938 0.9987 0.0000 10.811 3.242 3 1 18 7 0.9902 0.9987 0.0000 13.572 3.453 3 1 47 6 +11 0 0.9967 0.9987 0.0000 10.453 3.223 3 1 35 9 0.9908 0.9987 0.0000 13.312 3.434 3 1 47 6 +12 0 0.9955 0.9987 0.0000 9.847 3.116 3 1 33 8 0.9911 0.9987 0.0000 13.045 3.410 3 1 47 6 +13 0 0.9955 0.9987 0.0000 9.219 3.007 3 1 22 8 0.9914 0.9987 0.0000 12.772 3.381 3 1 47 6 +14 0 0.9963 0.9987 0.0000 8.871 2.943 3 1 74 9 0.9918 0.9987 0.0000 12.512 3.352 3 1 47 6 +15 0 0.9973 0.9987 0.0000 8.512 2.875 3 1 31 8 0.9921 0.9987 0.0000 12.262 3.322 3 1 47 6 +16 0 0.9971 0.9987 0.0000 8.255 2.810 3 1 24 6 0.9924 0.9987 0.0000 12.026 3.292 3 1 47 6 +17 0 0.9969 0.9987 0.0000 7.781 2.714 3 1 14 5 0.9927 0.9987 0.0000 11.790 3.260 3 1 47 6 +18 0 0.9965 0.9987 0.0000 7.412 2.612 3 1 10 3 0.9929 0.9987 0.0000 11.560 3.226 3 1 47 6 +19 0 0.9967 0.9987 0.0000 7.074 2.572 3 1 33 9 0.9931 0.9987 0.0000 11.336 3.193 3 1 47 6 +20 0 0.9969 0.9987 0.0000 6.831 2.478 3 1 15 6 0.9932 0.9987 0.0000 11.121 3.159 3 1 47 6 +21 0 0.9975 0.9987 0.0000 6.507 2.410 3 1 19 7 0.9934 0.9987 0.0000 10.911 3.125 3 1 47 6 +22 0 0.9969 0.9987 0.0000 6.343 2.379 3 1 16 6 0.9936 0.9987 0.0000 10.713 3.092 3 1 47 6 +23 0 0.9975 0.9987 0.0000 6.167 2.324 3 1 5 2 0.9938 0.9987 0.0000 10.523 3.060 3 1 47 6 +24 0 0.9975 0.9987 0.0000 6.163 2.317 3 1 11 4 0.9939 0.9987 0.0000 10.349 3.031 3 1 47 6 +25 0 0.9963 0.9987 0.0000 6.099 2.302 3 1 7 3 0.9940 0.9987 0.0000 10.186 3.003 3 1 47 6 +26 0 0.9963 0.9987 0.0000 6.037 2.257 3 1 36 11 0.9941 0.9987 0.0000 10.032 2.975 3 1 47 6 +27 0 0.9973 0.9987 0.0000 5.884 2.207 3 1 32 6 0.9942 0.9987 0.0000 9.884 2.948 3 1 47 6 +28 0 0.9971 0.9987 0.0000 5.710 2.149 3 1 10 4 0.9943 0.9987 0.0000 9.740 2.920 3 1 47 6 +29 0 0.9975 0.9987 0.0000 5.441 2.072 28 11 14 4 0.9944 0.9987 0.0000 9.597 2.892 28 11 47 6 +30 0 0.9973 0.9987 0.0000 5.423 2.080 28 11 22 4 0.9945 0.9987 0.0000 9.462 2.866 28 11 47 6 +31 0 0.9975 0.9987 0.0000 5.160 2.009 28 11 23 7 0.9946 0.9987 0.0000 9.327 2.839 28 11 47 6 +32 0 0.9969 0.9987 0.0000 5.032 1.958 28 11 13 5 0.9947 0.9987 0.0000 9.197 2.812 28 11 47 6 +33 0 0.9979 0.9987 0.9970 4.825 1.894 28 11 16 6 0.9948 0.9987 0.0000 9.069 2.785 28 11 47 6 +34 0 0.9979 0.9987 0.9976 4.713 1.838 28 11 9 4 0.9949 0.9987 0.0000 8.944 2.758 28 11 47 6 +35 0 0.9971 0.9987 0.0000 4.654 1.809 28 11 20 10 0.9949 0.9987 0.0000 8.825 2.732 28 11 47 6 +36 0 0.9975 0.9987 0.0000 4.572 1.776 28 11 13 4 0.9950 0.9987 0.0000 8.710 2.706 28 11 47 6 +37 0 0.9975 0.9987 0.0000 4.538 1.761 28 11 21 9 0.9951 0.9987 0.0000 8.600 2.681 28 11 47 6 +38 0 0.9967 0.9987 0.0000 4.470 1.728 28 11 7 3 0.9951 0.9987 0.0000 8.494 2.657 28 11 47 6 +39 0 0.9977 0.9987 0.0000 4.496 1.735 28 11 25 6 0.9952 0.9987 0.0000 8.394 2.633 28 11 47 6 +40 0 0.9977 0.9987 0.0000 4.517 1.738 28 11 13 6 0.9952 0.9987 0.0000 8.300 2.612 28 11 47 6 +41 0 0.9971 0.9987 0.0000 4.592 1.764 28 11 9 3 0.9953 0.9987 0.0000 8.212 2.591 28 11 47 6 +42 0 0.9979 0.9987 0.9951 4.616 1.797 28 11 22 8 0.9953 0.9987 0.0000 8.128 2.573 28 11 47 6 +43 0 0.9971 0.9987 0.0000 4.671 1.835 28 11 32 9 0.9954 0.9987 0.0000 8.049 2.556 28 11 47 6 +44 0 0.9977 0.9987 0.0000 4.657 1.836 28 11 11 4 0.9954 0.9987 0.0000 7.974 2.540 28 11 47 6 +45 0 0.9975 0.9987 0.0000 4.703 1.845 28 11 16 5 0.9955 0.9987 0.0000 7.903 2.525 28 11 47 6 +46 0 0.9977 0.9987 0.0000 4.612 1.801 28 11 12 5 0.9955 0.9987 0.0000 7.833 2.510 28 11 47 6 +47 0 0.9975 0.9987 0.0000 4.491 1.751 28 11 11 4 0.9956 0.9987 0.0000 7.763 2.494 28 11 47 6 +48 0 0.9975 0.9987 0.0000 4.486 1.756 28 11 17 6 0.9956 0.9987 0.0000 7.696 2.479 28 11 47 6 +49 0 0.9973 0.9987 0.0000 4.420 1.734 28 11 21 8 0.9956 0.9987 0.0000 7.631 2.464 28 11 47 6 +50 0 0.9975 0.9987 0.0000 4.388 1.713 28 11 15 5 0.9957 0.9987 0.0000 7.567 2.449 28 11 47 6 +51 0 0.9971 0.9987 0.0000 4.436 1.723 28 11 12 5 0.9957 0.9987 0.0000 7.507 2.435 28 11 47 6 diff --git a/PartB/90Cross90Mut2El/run_1/regress.sys b/PartB/90Cross90Mut2El/run_1/regress.sys new file mode 100644 index 0000000..4ca1285 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_1/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 322. +creating initial population(s): + 7239 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 62576824 + freed: 62528824 + not freed: 48000 + max allocated: 2524734 + malloc'ed blocks: 926669 + realloc'ed blocks: 8 + free'ed blocks: 926663 + +------- time ------- + overall: 31s wall + evaluation: 27s wall + breeding: 3s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 23803 + freed: 23803 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_2/regress.bst b/PartB/90Cross90Mut2El/run_2/regress.bst new file mode 100644 index 0000000..9d7762b --- /dev/null +++ b/PartB/90Cross90Mut2El/run_2/regress.bst @@ -0,0 +1,19 @@ +=== BEST-OF-RUN === + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +TREE-equ: +y = log((extent / (exp(((perimeter + major) / eccentricity)) * extent))) diff --git a/PartB/90Cross90Mut2El/run_2/regress.fn b/PartB/90Cross90Mut2El/run_2/regress.fn new file mode 100644 index 0000000..32f8e3b --- /dev/null +++ b/PartB/90Cross90Mut2El/run_2/regress.fn @@ -0,0 +1,13 @@ +Hits: 2261, Total Size: 2810, Percent Hit: 80.462633 +CC: 1072 +CO: 64 +OO: 1189 +OC: 485 +Fitness: 0.998821 +Hits: 847 + + +y = log((extent / (exp(((perimeter + major) / eccentricity)) * extent))) + + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) diff --git a/PartB/90Cross90Mut2El/run_2/regress.gen b/PartB/90Cross90Mut2El/run_2/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_2/regress.his b/PartB/90Cross90Mut2El/run_2/regress.his new file mode 100644 index 0000000..35fccd2 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_2/regress.his @@ -0,0 +1,1019 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 50 + depth: 5 + hits: 717 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 717 + raw fitness: 717.0000 + standardized fitness: 717.0000 + adjusted fitness: 0.9986 +TREE: + (/ (/ (log (+ (* -0.21509 minor) + (/ convex major))) + (* (/ (- extent minor) + (+ -0.87672 eccentricity)) + (/ (* major perimeter) + (log convex)))) + (* (+ (* (/ eccentricity perimeter) + (* perimeter minor)) + (exp (* -0.95981 0.71045))) + (* (/ (log eccentricity) + (- area area)) + (- (log minor) + (+ area eccentricity))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 3 + depth: 1 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.89064) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 3 + depth: 1 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.89064) +=== BEST-OF-RUN === + current generation: 3 + generation: 1 + nodes: 3 + depth: 1 + hits: 785 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 785 + raw fitness: 785.0000 + standardized fitness: 785.0000 + adjusted fitness: 0.9987 +TREE: + (- eccentricity 0.89064) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 7 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 8 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 9 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 10 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 11 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 12 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 13 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 14 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 15 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 16 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 17 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 18 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 19 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 20 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 21 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 22 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 23 + generation: 4 + nodes: 22 + depth: 7 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (/ (log eccentricity) + (* (+ (* (+ minor minor) + (log extent)) + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major))) minor)) +=== BEST-OF-RUN === + current generation: 24 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 29 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 30 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 31 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 32 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 33 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 34 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 35 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 36 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 37 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 38 + generation: 24 + nodes: 13 + depth: 6 + hits: 822 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 822 + raw fitness: 822.0000 + standardized fitness: 822.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) + (+ extent major)))) +=== BEST-OF-RUN === + current generation: 39 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 40 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 41 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 42 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 43 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + 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847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 47 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 48 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 49 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 50 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) +=== BEST-OF-RUN === + current generation: 51 + generation: 39 + nodes: 11 + depth: 6 + hits: 847 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 847 + raw fitness: 847.0000 + standardized fitness: 847.0000 + adjusted fitness: 0.9988 +TREE: + (log (/ extent + (* (exp (/ (+ perimeter major) eccentricity)) extent))) diff --git a/PartB/90Cross90Mut2El/run_2/regress.prg b/PartB/90Cross90Mut2El/run_2/regress.prg new file mode 100644 index 0000000..dca2191 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_2/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 12529.00000, perimeter = 437.83899, major_axis_length 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eccentricity = 0.88856, convex_area = 13500.00000, extent = 0.57951, type = O + area = 15069.00000, perimeter = 505.45499, major_axis_length = 211.90649, minor_axis_length = 91.93554, eccentricity = 0.90099, convex_area = 15431.00000, extent = 0.55352, type = C + area = 14479.00000, perimeter = 475.92499, major_axis_length = 200.55194, minor_axis_length = 92.17806, eccentricity = 0.88811, convex_area = 14696.00000, extent = 0.71143, type = C + area = 13811.00000, perimeter = 485.69000, major_axis_length = 209.27277, minor_axis_length = 85.20029, eccentricity = 0.91337, convex_area = 14083.00000, extent = 0.69062, type = C + area = 12800.00000, perimeter = 447.02499, major_axis_length = 181.76909, minor_axis_length = 90.76634, eccentricity = 0.86640, convex_area = 12958.00000, extent = 0.61022, type = O + area = 12310.00000, perimeter = 438.16199, major_axis_length = 177.79843, minor_axis_length = 89.22603, eccentricity = 0.86496, convex_area = 12528.00000, extent = 0.78588, type = O + area = 11392.00000, perimeter = 427.57199, major_axis_length = 173.07945, minor_axis_length = 85.35464, eccentricity = 0.86994, convex_area = 11638.00000, extent = 0.59848, type = O + area = 11232.00000, perimeter = 427.42999, major_axis_length = 180.43719, minor_axis_length = 80.56561, eccentricity = 0.89478, convex_area = 11424.00000, extent = 0.59878, type = O + area = 12748.00000, perimeter = 461.88800, major_axis_length = 190.70799, minor_axis_length = 86.64507, eccentricity = 0.89083, convex_area = 13158.00000, extent = 0.78633, type = O + area = 12536.00000, perimeter = 475.14600, major_axis_length = 205.76595, minor_axis_length = 78.26070, eccentricity = 0.92485, convex_area = 12798.00000, extent = 0.69490, type = C + area = 14524.00000, perimeter = 480.21201, major_axis_length = 199.93301, minor_axis_length = 93.31210, eccentricity = 0.88441, convex_area = 14808.00000, extent = 0.61128, type = C + area = 12711.00000, perimeter = 459.61801, major_axis_length = 192.97462, minor_axis_length = 84.95108, eccentricity = 0.89789, convex_area = 13028.00000, extent = 0.58195, type = C + area = 13080.00000, perimeter = 474.26001, major_axis_length = 198.95737, minor_axis_length = 84.75006, eccentricity = 0.90474, convex_area = 13511.00000, extent = 0.70277, type = C + area = 11809.00000, perimeter = 455.08301, major_axis_length = 185.42010, minor_axis_length = 83.61376, eccentricity = 0.89255, convex_area = 12318.00000, extent = 0.64885, type = C + area = 10962.00000, perimeter = 415.00000, major_axis_length = 170.09814, minor_axis_length = 82.88567, eccentricity = 0.87325, convex_area = 11152.00000, extent = 0.62037, type = O + area = 13626.00000, perimeter = 469.34299, major_axis_length = 191.38023, minor_axis_length = 92.17392, eccentricity = 0.87638, convex_area = 13931.00000, extent = 0.60722, type = O + area = 13901.00000, perimeter = 478.84900, major_axis_length = 200.44191, minor_axis_length = 89.34199, eccentricity = 0.89517, convex_area = 14232.00000, extent = 0.56855, type = C + area = 14518.00000, perimeter = 491.22198, major_axis_length = 203.76106, minor_axis_length = 92.34290, eccentricity = 0.89141, convex_area = 14877.00000, extent = 0.74132, type = C + area = 9962.00000, perimeter = 404.94501, major_axis_length = 170.91649, minor_axis_length = 74.79294, eccentricity = 0.89917, convex_area = 10137.00000, extent = 0.57610, type = O + area = 12025.00000, perimeter = 447.22699, major_axis_length = 184.91464, minor_axis_length = 84.14797, eccentricity = 0.89046, convex_area = 12373.00000, extent = 0.64703, type = O + area = 11062.00000, perimeter = 410.09601, major_axis_length = 165.46947, minor_axis_length = 86.05539, eccentricity = 0.85412, convex_area = 11213.00000, extent = 0.63082, type = O + area = 13153.00000, perimeter = 479.56201, major_axis_length = 207.92393, minor_axis_length = 80.94250, eccentricity = 0.92112, convex_area = 13339.00000, extent = 0.68477, type = C + area = 11708.00000, perimeter = 433.66501, major_axis_length = 184.30309, minor_axis_length = 81.25191, eccentricity = 0.89758, convex_area = 11888.00000, extent = 0.61170, type = O + area = 12978.00000, perimeter = 465.85001, major_axis_length = 199.12939, minor_axis_length = 83.91192, eccentricity = 0.90688, convex_area = 13210.00000, extent = 0.73513, type = C + area = 11679.00000, perimeter = 439.18600, major_axis_length = 181.42677, minor_axis_length = 83.52566, eccentricity = 0.88772, convex_area = 11949.00000, extent = 0.56749, type = O + area = 10497.00000, perimeter = 417.50601, major_axis_length = 169.24020, minor_axis_length = 80.12229, eccentricity = 0.88083, convex_area = 10753.00000, extent = 0.58162, type = O + area = 11659.00000, perimeter = 442.33801, major_axis_length = 186.14996, minor_axis_length = 81.04517, eccentricity = 0.90025, convex_area = 11974.00000, extent = 0.68907, type = O + area = 13697.00000, perimeter = 482.38400, major_axis_length = 206.73445, minor_axis_length = 85.18093, eccentricity = 0.91117, convex_area = 13927.00000, extent = 0.59708, type = C + area = 14362.00000, perimeter = 479.93100, major_axis_length = 202.70265, minor_axis_length = 90.70675, eccentricity = 0.89429, convex_area = 14606.00000, extent = 0.59147, type = C + area = 11411.00000, perimeter = 429.10101, major_axis_length = 175.35614, minor_axis_length = 83.65203, eccentricity = 0.87888, convex_area = 11636.00000, extent = 0.59806, type = O + area = 16570.00000, perimeter = 519.12299, major_axis_length = 221.01448, minor_axis_length = 96.22779, eccentricity = 0.90024, convex_area = 16757.00000, extent = 0.59234, type = C + area = 12599.00000, perimeter = 455.28101, major_axis_length = 188.01591, minor_axis_length = 86.37449, eccentricity = 0.88823, convex_area = 12897.00000, extent = 0.62125, type = C + area = 11351.00000, perimeter = 417.69299, major_axis_length = 171.05106, minor_axis_length = 85.54869, eccentricity = 0.86595, convex_area = 11549.00000, extent = 0.74326, type = O + area = 15498.00000, perimeter = 512.70398, major_axis_length = 215.80835, minor_axis_length = 92.62403, eccentricity = 0.90321, convex_area = 15914.00000, extent = 0.57889, type = C + area = 11550.00000, perimeter = 420.27399, major_axis_length = 170.95306, minor_axis_length = 87.15016, eccentricity = 0.86030, convex_area = 11776.00000, extent = 0.69470, type = O + area = 13589.00000, perimeter = 483.88400, major_axis_length = 205.35475, minor_axis_length = 85.41032, eccentricity = 0.90940, convex_area = 13883.00000, extent = 0.54574, type = C + area = 16258.00000, perimeter = 533.34100, major_axis_length = 229.11299, minor_axis_length = 91.12013, eccentricity = 0.91751, convex_area = 16705.00000, extent = 0.57082, type = C + area = 15118.00000, perimeter = 514.96698, major_axis_length = 224.18660, minor_axis_length = 87.69224, eccentricity = 0.92032, convex_area = 15454.00000, extent = 0.65412, type = C + area = 12054.00000, perimeter = 439.65900, major_axis_length = 184.57616, minor_axis_length = 84.05714, eccentricity = 0.89028, convex_area = 12227.00000, extent = 0.73228, type = O + area = 11856.00000, perimeter = 456.42200, major_axis_length = 201.00337, minor_axis_length = 75.42108, eccentricity = 0.92693, convex_area = 12027.00000, extent = 0.71646, type = C + area = 14161.00000, perimeter = 488.68701, major_axis_length = 206.50746, minor_axis_length = 87.96767, eccentricity = 0.90473, convex_area = 14428.00000, extent = 0.59395, type = C + area = 15321.00000, perimeter = 513.00702, major_axis_length = 218.71196, minor_axis_length = 90.26067, eccentricity = 0.91087, convex_area = 15646.00000, extent = 0.71188, type = C + area = 14640.00000, perimeter = 501.32401, major_axis_length = 210.29160, minor_axis_length = 90.33173, eccentricity = 0.90304, convex_area = 15119.00000, extent = 0.58654, type = C + area = 10192.00000, perimeter = 404.18201, major_axis_length = 171.13255, minor_axis_length = 76.47445, eccentricity = 0.89460, convex_area = 10346.00000, extent = 0.61059, type = O + area = 14713.00000, perimeter = 500.16000, major_axis_length = 207.15820, minor_axis_length = 91.46106, eccentricity = 0.89726, convex_area = 15111.00000, extent = 0.57193, type = C + area = 12147.00000, perimeter = 436.07001, major_axis_length = 177.55022, minor_axis_length = 88.56141, eccentricity = 0.86672, convex_area = 12421.00000, extent = 0.68705, type = O + area = 14938.00000, perimeter = 502.68701, major_axis_length = 209.64473, minor_axis_length = 92.03596, eccentricity = 0.89848, convex_area = 15331.00000, extent = 0.63520, type = C + area = 13050.00000, perimeter = 467.52200, major_axis_length = 194.89885, minor_axis_length = 86.94762, eccentricity = 0.89497, convex_area = 13389.00000, extent = 0.61978, type = C + area = 12103.00000, perimeter = 446.08099, major_axis_length = 181.47110, minor_axis_length = 86.55187, eccentricity = 0.87893, convex_area = 12444.00000, extent = 0.57469, type = O + area = 17198.00000, perimeter = 520.99200, major_axis_length = 209.97021, minor_axis_length = 105.67059, eccentricity = 0.86413, convex_area = 17586.00000, extent = 0.60616, type = C + area = 12734.00000, perimeter = 466.30600, major_axis_length = 198.72568, minor_axis_length = 82.28809, eccentricity = 0.91024, convex_area = 13021.00000, extent = 0.63495, type = O + area = 15676.00000, perimeter = 512.33502, major_axis_length = 214.76785, minor_axis_length = 93.72194, eccentricity = 0.89976, convex_area = 15961.00000, extent = 0.77928, type = C + area = 12758.00000, perimeter = 451.37000, major_axis_length = 180.73944, minor_axis_length = 91.56465, eccentricity = 0.86217, convex_area = 13170.00000, extent = 0.64906, type = O + area = 14013.00000, perimeter = 458.91101, major_axis_length = 181.95149, minor_axis_length = 99.44376, eccentricity = 0.83743, convex_area = 14323.00000, extent = 0.79439, type = C + area = 11697.00000, perimeter = 424.14801, major_axis_length = 170.55209, minor_axis_length = 88.91115, eccentricity = 0.85337, convex_area = 11939.00000, extent = 0.62725, type = O diff --git a/PartB/90Cross90Mut2El/run_2/regress.stt b/PartB/90Cross90Mut2El/run_2/regress.stt new file mode 100644 index 0000000..db6fa33 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_2/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9576 0.9986 0.0000 17.976 3.432 50 5 78 6 0.9576 0.9986 0.0000 17.976 3.432 50 5 78 6 +1 0 0.9903 0.9987 0.0000 16.252 3.502 3 1 19 6 0.9740 0.9987 0.0000 17.114 3.467 3 1 78 6 +2 0 0.9922 0.9987 0.0000 15.294 3.539 3 1 68 10 0.9800 0.9987 0.0000 16.507 3.491 3 1 78 6 +3 0 0.9922 0.9987 0.0000 15.008 3.591 3 1 52 7 0.9831 0.9987 0.0000 16.132 3.516 3 1 78 6 +4 0 0.9937 0.9987 0.0000 14.437 3.555 22 7 61 8 0.9852 0.9987 0.0000 15.793 3.524 22 7 78 6 +5 0 0.9922 0.9987 0.0000 13.895 3.546 22 7 47 6 0.9864 0.9987 0.0000 15.477 3.528 22 7 78 6 +6 0 0.9934 0.9987 0.0000 13.283 3.525 22 7 42 10 0.9874 0.9987 0.0000 15.163 3.527 22 7 78 6 +7 0 0.9952 0.9987 0.0000 12.697 3.480 22 7 49 9 0.9883 0.9987 0.0000 14.855 3.521 22 7 78 6 +8 0 0.9946 0.9987 0.0000 12.255 3.491 22 7 130 11 0.9890 0.9987 0.0000 14.566 3.518 22 7 78 6 +9 0 0.9952 0.9987 0.0000 11.673 3.432 22 7 12 5 0.9897 0.9987 0.0000 14.277 3.509 22 7 78 6 +10 0 0.9952 0.9987 0.0000 11.144 3.378 22 7 47 7 0.9902 0.9987 0.0000 13.992 3.497 22 7 78 6 +11 0 0.9950 0.9987 0.0000 10.724 3.321 22 7 9 4 0.9906 0.9987 0.0000 13.720 3.483 22 7 78 6 +12 0 0.9956 0.9987 0.0000 10.100 3.191 22 7 48 9 0.9909 0.9987 0.0000 13.441 3.460 22 7 78 6 +13 0 0.9956 0.9987 0.0000 9.538 3.099 22 7 30 9 0.9913 0.9987 0.0000 13.163 3.434 22 7 78 6 +14 0 0.9968 0.9987 0.0000 9.162 3.042 22 7 17 6 0.9916 0.9987 0.0000 12.896 3.408 22 7 78 6 +15 0 0.9965 0.9987 0.0000 8.872 2.989 22 7 11 5 0.9919 0.9987 0.0000 12.644 3.382 22 7 78 6 +16 0 0.9970 0.9987 0.0000 8.587 2.930 22 7 9 4 0.9922 0.9987 0.0000 12.406 3.355 22 7 78 6 +17 0 0.9966 0.9987 0.0000 8.183 2.804 22 7 15 6 0.9925 0.9987 0.0000 12.171 3.325 22 7 78 6 +18 0 0.9968 0.9987 0.0000 7.756 2.740 22 7 47 14 0.9927 0.9987 0.0000 11.939 3.294 22 7 78 6 +19 0 0.9968 0.9987 0.0000 7.464 2.673 22 7 26 6 0.9929 0.9987 0.0000 11.715 3.263 22 7 78 6 +20 0 0.9962 0.9987 0.0000 7.172 2.585 22 7 43 8 0.9931 0.9987 0.0000 11.499 3.231 22 7 78 6 +21 0 0.9972 0.9987 0.0000 7.019 2.512 22 7 20 5 0.9933 0.9987 0.0000 11.295 3.198 22 7 78 6 +22 0 0.9966 0.9987 0.0000 6.780 2.454 22 7 39 14 0.9934 0.9987 0.0000 11.099 3.166 22 7 78 6 +23 0 0.9978 0.9987 0.0000 6.358 2.342 22 7 41 10 0.9936 0.9987 0.0000 10.901 3.131 22 7 78 6 +24 0 0.9974 0.9988 0.0000 6.311 2.338 13 6 7 3 0.9937 0.9988 0.0000 10.718 3.100 13 6 78 6 +25 0 0.9970 0.9988 0.0000 6.196 2.308 13 6 29 8 0.9939 0.9988 0.0000 10.544 3.069 13 6 78 6 +26 0 0.9968 0.9988 0.0000 6.073 2.275 13 6 26 10 0.9940 0.9988 0.0000 10.378 3.040 13 6 78 6 +27 0 0.9976 0.9988 0.0000 5.772 2.189 13 6 12 6 0.9941 0.9988 0.0000 10.214 3.009 13 6 78 6 +28 0 0.9972 0.9988 0.0000 5.569 2.137 13 6 18 5 0.9942 0.9988 0.0000 10.053 2.979 13 6 78 6 +29 0 0.9978 0.9988 0.0000 5.347 2.055 13 6 21 6 0.9943 0.9988 0.0000 9.897 2.949 13 6 78 6 +30 0 0.9976 0.9988 0.0000 5.122 1.998 13 6 9 4 0.9944 0.9988 0.0000 9.743 2.918 13 6 78 6 +31 0 0.9974 0.9988 0.0000 4.900 1.923 13 6 5 2 0.9945 0.9988 0.0000 9.591 2.887 13 6 78 6 +32 0 0.9974 0.9988 0.0000 4.897 1.928 13 6 9 3 0.9946 0.9988 0.0000 9.449 2.858 13 6 78 6 +33 0 0.9976 0.9988 0.0000 4.743 1.876 13 6 17 6 0.9947 0.9988 0.0000 9.311 2.829 13 6 78 6 +34 0 0.9974 0.9988 0.0000 4.748 1.868 13 6 11 4 0.9948 0.9988 0.0000 9.180 2.801 13 6 78 6 +35 0 0.9976 0.9988 0.0000 4.688 1.855 13 6 16 5 0.9949 0.9988 0.0000 9.055 2.775 13 6 78 6 +36 0 0.9978 0.9988 0.0000 4.691 1.848 13 6 23 8 0.9949 0.9988 0.0000 8.937 2.750 13 6 78 6 +37 0 0.9978 0.9988 0.0000 4.648 1.836 13 6 17 4 0.9950 0.9988 0.0000 8.825 2.726 13 6 78 6 +38 0 0.9978 0.9988 0.0000 4.576 1.791 13 6 23 6 0.9951 0.9988 0.0000 8.716 2.702 13 6 78 6 +39 0 0.9970 0.9988 0.0000 4.521 1.768 11 6 9 4 0.9951 0.9988 0.0000 8.611 2.679 11 6 78 6 +40 0 0.9972 0.9988 0.0000 4.507 1.770 11 6 6 2 0.9952 0.9988 0.0000 8.511 2.657 11 6 78 6 +41 0 0.9978 0.9988 0.0000 4.524 1.780 11 6 26 9 0.9952 0.9988 0.0000 8.416 2.636 11 6 78 6 +42 0 0.9978 0.9988 0.0000 4.486 1.755 11 6 13 4 0.9953 0.9988 0.0000 8.324 2.615 11 6 78 6 +43 0 0.9970 0.9988 0.0000 4.437 1.744 11 6 5 2 0.9953 0.9988 0.0000 8.236 2.595 11 6 78 6 +44 0 0.9978 0.9988 0.0000 4.397 1.739 11 6 18 4 0.9954 0.9988 0.0000 8.151 2.576 11 6 78 6 +45 0 0.9978 0.9988 0.0000 4.383 1.717 11 6 16 4 0.9954 0.9988 0.0000 8.069 2.558 11 6 78 6 +46 0 0.9978 0.9988 0.0000 4.374 1.717 11 6 14 5 0.9955 0.9988 0.0000 7.990 2.540 11 6 78 6 +47 0 0.9976 0.9988 0.0000 4.272 1.676 11 6 13 5 0.9955 0.9988 0.0000 7.913 2.522 11 6 78 6 +48 0 0.9974 0.9988 0.0000 4.397 1.721 11 6 20 7 0.9956 0.9988 0.0000 7.841 2.505 11 6 78 6 +49 0 0.9974 0.9988 0.0000 4.328 1.699 11 6 7 3 0.9956 0.9988 0.0000 7.771 2.489 11 6 78 6 +50 0 0.9976 0.9988 0.0000 4.317 1.684 11 6 15 5 0.9957 0.9988 0.0000 7.703 2.474 11 6 78 6 +51 0 0.9974 0.9988 0.0000 4.346 1.706 11 6 22 9 0.9957 0.9988 0.0000 7.638 2.459 11 6 78 6 diff --git a/PartB/90Cross90Mut2El/run_2/regress.sys b/PartB/90Cross90Mut2El/run_2/regress.sys new file mode 100644 index 0000000..b36d96d --- /dev/null +++ b/PartB/90Cross90Mut2El/run_2/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 588. +creating initial population(s): + 7360 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 63134464 + freed: 63086464 + not freed: 48000 + max allocated: 2512758 + malloc'ed blocks: 924203 + realloc'ed blocks: 8 + free'ed blocks: 924197 + +------- time ------- + overall: 31s wall + evaluation: 30s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 23750 + freed: 23750 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_3/regress.bst b/PartB/90Cross90Mut2El/run_3/regress.bst new file mode 100644 index 0000000..1164e1a --- /dev/null +++ b/PartB/90Cross90Mut2El/run_3/regress.bst @@ -0,0 +1,21 @@ +=== BEST-OF-RUN === + generation: 50 + nodes: 18 + depth: 6 + hits: 878 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 878 + raw fitness: 878.0000 + standardized fitness: 878.0000 + adjusted fitness: 0.9989 +TREE: + (/ (exp major) + (/ (exp (+ (- (- perimeter -0.39302) major) perimeter)) + (- (exp extent) + (* eccentricity area)))) +TREE-equ: +y = (exp(major) / (exp((((perimeter - -0.39302) - major) + perimeter)) / (exp(extent) - (eccentricity * area)))) diff --git a/PartB/90Cross90Mut2El/run_3/regress.fn b/PartB/90Cross90Mut2El/run_3/regress.fn new file mode 100644 index 0000000..52352fb --- /dev/null +++ b/PartB/90Cross90Mut2El/run_3/regress.fn @@ -0,0 +1,15 @@ +Hits: 2413, Total Size: 2810, Percent Hit: 85.871886 +CC: 1051 +CO: 63 +OO: 1362 +OC: 334 +Fitness: 0.998862 +Hits: 878 + + +y = (exp(major) / (exp((((perimeter - -0.39302) - major) + perimeter)) / (exp(extent) - (eccentricity * area)))) + + (/ (exp major) + (/ (exp (+ (- (- perimeter -0.39302) major) perimeter)) + (- (exp extent) + (* eccentricity area)))) diff --git a/PartB/90Cross90Mut2El/run_3/regress.gen b/PartB/90Cross90Mut2El/run_3/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_3/regress.his b/PartB/90Cross90Mut2El/run_3/regress.his new file mode 100644 index 0000000..80f5f8d --- /dev/null +++ b/PartB/90Cross90Mut2El/run_3/regress.his @@ -0,0 +1,1188 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 43 + depth: 5 + hits: 706 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 706 + raw fitness: 706.0000 + standardized fitness: 706.0000 + adjusted fitness: 0.9986 +TREE: + (/ (+ (+ (+ (- perimeter eccentricity) + (+ extent perimeter)) + (* (log perimeter) + (log minor))) + (- (exp (+ minor major)) + (log (+ perimeter extent)))) + (* (log (* (log area) + (log eccentricity))) + (* (+ (* convex area) + (- minor area)) + (log (* -0.90932 -0.83444))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 11 + depth: 5 + hits: 715 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 715 + raw fitness: 715.0000 + standardized fitness: 715.0000 + adjusted fitness: 0.9986 +TREE: + (- (* (log (* eccentricity + (exp 0.13624))) convex) + (log (log extent))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 64 + depth: 8 + hits: 751 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 751 + raw fitness: 751.0000 + standardized fitness: 751.0000 + adjusted fitness: 0.9987 +TREE: + (- (* (* eccentricity extent) + (/ (log (- (/ perimeter minor) + (- area convex))) + (- (/ (+ convex extent) + (* area major)) + (/ (log minor) + (+ eccentricity area))))) + (/ (+ (exp (* (+ 0.92714 major) + (+ eccentricity -0.54112))) + (- (- (* area 0.67672) + (/ perimeter perimeter)) + (/ (/ (+ (exp minor) perimeter) convex) + (+ 0.39865 area)))) + (log (log (* (log major) + (- 0.34134 extent)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 64 + depth: 8 + hits: 751 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 751 + raw fitness: 751.0000 + standardized fitness: 751.0000 + adjusted fitness: 0.9987 +TREE: + (- (* (* eccentricity extent) + (/ (log (- (/ perimeter minor) + (- area convex))) + (- (/ (+ convex extent) + (* area major)) + (/ (log minor) + (+ eccentricity area))))) + (/ (+ (exp (* (+ 0.92714 major) + (+ eccentricity -0.54112))) + (- (- (* area 0.67672) + (/ perimeter perimeter)) + (/ (/ (+ (exp minor) perimeter) convex) + (+ 0.39865 area)))) + (log (log (* (log major) + (- 0.34134 extent)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 4 + nodes: 4 + depth: 2 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (+ (log 0.41206) eccentricity) +=== BEST-OF-RUN === + current generation: 5 + generation: 4 + nodes: 4 + depth: 2 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (+ (log 0.41206) eccentricity) +=== BEST-OF-RUN === + current generation: 6 + generation: 4 + nodes: 4 + depth: 2 + hits: 797 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 797 + raw fitness: 797.0000 + standardized fitness: 797.0000 + adjusted fitness: 0.9987 +TREE: + (+ (log 0.41206) eccentricity) +=== BEST-OF-RUN === + current generation: 7 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 9 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 10 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 11 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 12 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 13 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 14 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 15 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 16 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 17 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 20 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 21 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 22 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 29 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 30 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 31 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 32 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 33 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 34 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 35 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 36 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 37 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 38 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 39 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 40 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 41 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 42 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 43 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 44 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 45 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 46 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 47 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 48 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 49 + generation: 7 + nodes: 24 + depth: 7 + hits: 869 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 869 + raw fitness: 869.0000 + standardized fitness: 869.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.04716 + (* (- (exp (* (log (exp major)) + (+ (exp extent) + (- eccentricity -0.91047)))) + (+ area + (+ -0.46245 minor))) + (log (+ major major)))) +=== BEST-OF-RUN === + current generation: 50 + generation: 50 + nodes: 18 + depth: 6 + hits: 878 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 878 + raw fitness: 878.0000 + standardized fitness: 878.0000 + adjusted fitness: 0.9989 +TREE: + (/ (exp major) + (/ (exp (+ (- (- perimeter -0.39302) major) perimeter)) + (- (exp extent) + (* eccentricity area)))) +=== BEST-OF-RUN === + current generation: 51 + generation: 50 + nodes: 18 + depth: 6 + hits: 878 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 878 + raw fitness: 878.0000 + standardized fitness: 878.0000 + adjusted fitness: 0.9989 +TREE: + (/ (exp major) + (/ (exp (+ (- (- perimeter -0.39302) major) perimeter)) + (- (exp extent) + (* eccentricity area)))) diff --git a/PartB/90Cross90Mut2El/run_3/regress.prg b/PartB/90Cross90Mut2El/run_3/regress.prg new file mode 100644 index 0000000..ab532c7 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_3/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 11708.00000, perimeter = 423.94101, major_axis_length = 173.93201, minor_axis_length = 85.92611, eccentricity = 0.86945, convex_area = 11918.00000, extent = 0.61132, type = O + area = 13200.00000, perimeter = 477.85101, major_axis_length = 202.59695, 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16258.00000, perimeter = 518.77002, major_axis_length = 214.28647, minor_axis_length = 97.37901, eccentricity = 0.89078, convex_area = 16551.00000, extent = 0.70758, type = C + area = 10037.00000, perimeter = 395.34000, major_axis_length = 164.24315, minor_axis_length = 78.49976, eccentricity = 0.87839, convex_area = 10210.00000, extent = 0.76490, type = O + area = 14947.00000, perimeter = 506.65100, major_axis_length = 214.34431, minor_axis_length = 89.52690, eccentricity = 0.90860, convex_area = 15364.00000, extent = 0.56300, type = C + area = 11506.00000, perimeter = 433.34201, major_axis_length = 183.44586, minor_axis_length = 80.39727, eccentricity = 0.89885, convex_area = 11675.00000, extent = 0.61701, type = O + area = 9933.00000, perimeter = 397.72000, major_axis_length = 160.85063, minor_axis_length = 79.78277, eccentricity = 0.86832, convex_area = 10161.00000, extent = 0.70637, type = O diff --git a/PartB/90Cross90Mut2El/run_3/regress.stt b/PartB/90Cross90Mut2El/run_3/regress.stt new file mode 100644 index 0000000..523ba64 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_3/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9582 0.9986 0.0000 18.419 3.474 43 5 30 6 0.9582 0.9986 0.0000 18.419 3.474 43 5 30 6 +1 0 0.9902 0.9986 0.0000 16.370 3.536 11 5 17 4 0.9742 0.9986 0.0000 17.395 3.505 11 5 30 6 +2 0 0.9912 0.9987 0.0000 15.751 3.579 64 8 85 9 0.9799 0.9987 0.0000 16.847 3.529 64 8 30 6 +3 0 0.9940 0.9987 0.0000 14.914 3.625 64 8 77 6 0.9834 0.9987 0.0000 16.363 3.553 64 8 30 6 +4 0 0.9932 0.9987 0.0000 14.046 3.585 4 2 79 9 0.9854 0.9987 0.0000 15.900 3.560 4 2 30 6 +5 0 0.9936 0.9987 0.0000 13.283 3.552 4 2 26 7 0.9868 0.9987 0.0000 15.464 3.558 4 2 30 6 +6 0 0.9940 0.9987 0.0000 12.793 3.542 4 2 27 6 0.9878 0.9987 0.0000 15.082 3.556 4 2 30 6 +7 0 0.9950 0.9989 0.0000 12.090 3.458 24 7 29 7 0.9887 0.9989 0.0000 14.708 3.544 24 7 30 6 +8 0 0.9942 0.9989 0.0000 11.214 3.338 24 7 14 6 0.9893 0.9989 0.0000 14.320 3.521 24 7 30 6 +9 0 0.9964 0.9989 0.0000 10.490 3.235 24 7 74 12 0.9900 0.9989 0.0000 13.937 3.492 24 7 30 6 +10 0 0.9954 0.9989 0.0000 9.879 3.135 24 7 41 6 0.9905 0.9989 0.0000 13.568 3.460 24 7 30 6 +11 0 0.9956 0.9989 0.0000 9.415 3.038 24 7 42 7 0.9909 0.9989 0.0000 13.222 3.425 24 7 30 6 +12 0 0.9966 0.9989 0.0000 9.203 3.022 24 7 64 10 0.9914 0.9989 0.0000 12.913 3.394 24 7 30 6 +13 0 0.9954 0.9989 0.0000 8.941 2.979 24 7 50 9 0.9917 0.9989 0.0000 12.629 3.364 24 7 30 6 +14 0 0.9958 0.9989 0.0000 8.507 2.898 24 7 34 8 0.9920 0.9989 0.0000 12.354 3.333 24 7 30 6 +15 0 0.9958 0.9989 0.0000 8.516 2.888 24 7 21 6 0.9922 0.9989 0.0000 12.114 3.305 24 7 30 6 +16 0 0.9968 0.9989 0.0000 7.958 2.788 24 7 32 6 0.9925 0.9989 0.0000 11.870 3.275 24 7 30 6 +17 0 0.9976 0.9989 0.0000 7.840 2.764 24 7 40 10 0.9928 0.9989 0.0000 11.646 3.246 24 7 30 6 +18 0 0.9960 0.9989 0.0000 7.613 2.711 24 7 5 2 0.9929 0.9989 0.0000 11.434 3.218 24 7 30 6 +19 0 0.9962 0.9989 0.0000 7.435 2.665 24 7 23 6 0.9931 0.9989 0.0000 11.234 3.191 24 7 30 6 +20 0 0.9964 0.9989 0.0000 7.074 2.590 24 7 6 2 0.9933 0.9989 0.0000 11.036 3.162 24 7 30 6 +21 0 0.9976 0.9989 0.0000 6.839 2.532 24 7 17 5 0.9935 0.9989 0.0000 10.845 3.133 24 7 30 6 +22 0 0.9970 0.9989 0.0000 6.753 2.511 24 7 20 6 0.9936 0.9989 0.0000 10.667 3.106 24 7 30 6 +23 0 0.9978 0.9989 0.0000 6.545 2.448 24 7 48 10 0.9938 0.9989 0.0000 10.495 3.079 24 7 30 6 +24 0 0.9969 0.9989 0.0000 6.437 2.423 24 7 46 9 0.9939 0.9989 0.0000 10.333 3.053 24 7 30 6 +25 0 0.9974 0.9989 0.0000 6.262 2.391 24 7 13 6 0.9940 0.9989 0.0000 10.176 3.027 24 7 30 6 +26 0 0.9970 0.9989 0.0000 6.156 2.352 24 7 10 3 0.9942 0.9989 0.0000 10.028 3.002 24 7 30 6 +27 0 0.9974 0.9989 0.0000 6.039 2.320 24 7 26 6 0.9943 0.9989 0.0000 9.885 2.978 24 7 30 6 +28 0 0.9980 0.9989 0.9976 5.861 2.261 24 7 5 2 0.9944 0.9989 0.0000 9.746 2.953 24 7 30 6 +29 0 0.9974 0.9989 0.0000 5.791 2.228 24 7 17 7 0.9945 0.9989 0.0000 9.614 2.929 24 7 30 6 +30 0 0.9976 0.9989 0.0000 5.742 2.214 24 7 10 4 0.9946 0.9989 0.0000 9.490 2.906 24 7 30 6 +31 0 0.9968 0.9989 0.0000 5.586 2.159 24 7 7 3 0.9947 0.9989 0.0000 9.368 2.883 24 7 30 6 +32 0 0.9976 0.9989 0.0000 5.532 2.142 24 7 14 7 0.9948 0.9989 0.0000 9.251 2.860 24 7 30 6 +33 0 0.9972 0.9989 0.0000 5.529 2.144 24 7 21 9 0.9948 0.9989 0.0000 9.142 2.839 24 7 30 6 +34 0 0.9972 0.9989 0.0000 5.364 2.079 24 7 15 4 0.9949 0.9989 0.0000 9.034 2.817 24 7 30 6 +35 0 0.9978 0.9989 0.0000 5.301 2.051 24 7 16 5 0.9950 0.9989 0.0000 8.930 2.796 24 7 30 6 +36 0 0.9974 0.9989 0.0000 5.251 2.035 24 7 11 4 0.9951 0.9989 0.0000 8.831 2.776 24 7 30 6 +37 0 0.9972 0.9989 0.0000 5.161 2.000 24 7 23 5 0.9951 0.9989 0.0000 8.734 2.755 24 7 30 6 +38 0 0.9974 0.9989 0.0000 5.012 1.941 24 7 14 5 0.9952 0.9989 0.0000 8.639 2.734 24 7 30 6 +39 0 0.9976 0.9989 0.0000 4.931 1.922 24 7 15 4 0.9952 0.9989 0.0000 8.546 2.714 24 7 30 6 +40 0 0.9974 0.9989 0.0000 4.806 1.871 24 7 22 6 0.9953 0.9989 0.0000 8.455 2.693 24 7 30 6 +41 0 0.9978 0.9989 0.0000 4.768 1.849 24 7 7 3 0.9954 0.9989 0.0000 8.367 2.673 24 7 30 6 +42 0 0.9976 0.9989 0.0000 4.630 1.810 24 7 22 6 0.9954 0.9989 0.0000 8.280 2.653 24 7 30 6 +43 0 0.9980 0.9989 0.9972 4.691 1.823 24 7 22 6 0.9955 0.9989 0.0000 8.199 2.634 24 7 30 6 +44 0 0.9974 0.9989 0.0000 4.706 1.828 24 7 8 3 0.9955 0.9989 0.0000 8.121 2.616 24 7 30 6 +45 0 0.9976 0.9989 0.0000 4.617 1.805 24 7 12 5 0.9956 0.9989 0.0000 8.045 2.599 24 7 30 6 +46 0 0.9976 0.9989 0.0000 4.531 1.770 24 7 10 5 0.9956 0.9989 0.0000 7.970 2.581 24 7 30 6 +47 0 0.9978 0.9989 0.0000 4.520 1.758 24 7 9 4 0.9956 0.9989 0.0000 7.898 2.564 24 7 30 6 +48 0 0.9976 0.9989 0.0000 4.459 1.737 24 7 11 4 0.9957 0.9989 0.0000 7.828 2.547 24 7 30 6 +49 0 0.9978 0.9989 0.0000 4.426 1.732 24 7 9 4 0.9957 0.9989 0.0000 7.760 2.531 24 7 30 6 +50 0 0.9978 0.9989 0.0000 4.417 1.730 18 6 9 4 0.9958 0.9989 0.0000 7.694 2.515 18 6 30 6 +51 0 0.9976 0.9989 0.0000 4.463 1.744 18 6 14 4 0.9958 0.9989 0.0000 7.632 2.500 18 6 30 6 diff --git a/PartB/90Cross90Mut2El/run_3/regress.sys b/PartB/90Cross90Mut2El/run_3/regress.sys new file mode 100644 index 0000000..a1020ad --- /dev/null +++ b/PartB/90Cross90Mut2El/run_3/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 8388. +creating initial population(s): + 7284 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 63242494 + freed: 63194494 + not freed: 48000 + max allocated: 2536711 + malloc'ed blocks: 925765 + realloc'ed blocks: 8 + free'ed blocks: 925759 + +------- time ------- + overall: 31s wall + evaluation: 31s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 24080 + freed: 24080 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_4/regress.bst b/PartB/90Cross90Mut2El/run_4/regress.bst new file mode 100644 index 0000000..c460ce1 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_4/regress.bst @@ -0,0 +1,19 @@ +=== BEST-OF-RUN === + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +TREE-equ: +y = log(exp(((perimeter * (area / -0.61055)) / area))) diff --git a/PartB/90Cross90Mut2El/run_4/regress.fn b/PartB/90Cross90Mut2El/run_4/regress.fn new file mode 100644 index 0000000..f36117b --- /dev/null +++ b/PartB/90Cross90Mut2El/run_4/regress.fn @@ -0,0 +1,13 @@ +Hits: 2562, Total Size: 2810, Percent Hit: 91.174377 +CC: 1024 +CO: 89 +OO: 1538 +OC: 159 +Fitness: 0.998894 +Hits: 903 + + +y = log(exp(((perimeter * (area / -0.61055)) / area))) + + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) diff --git a/PartB/90Cross90Mut2El/run_4/regress.gen b/PartB/90Cross90Mut2El/run_4/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_4/regress.his b/PartB/90Cross90Mut2El/run_4/regress.his new file mode 100644 index 0000000..cc29236 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_4/regress.his @@ -0,0 +1,984 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 8 + depth: 3 + hits: 716 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 716 + raw fitness: 716.0000 + standardized fitness: 716.0000 + adjusted fitness: 0.9986 +TREE: + (- (log (exp eccentricity)) + (exp (- 0.79448 eccentricity))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 1 + nodes: 22 + depth: 6 + hits: 894 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 894 + raw fitness: 894.0000 + standardized fitness: 894.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) + (+ (- (+ minor convex) + (/ extent convex)) + (- (log major) + (- minor -0.38320)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 14 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 15 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 16 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 17 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 18 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 19 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 20 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 21 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 22 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 23 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 24 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 25 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 26 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current generation: 27 + generation: 13 + nodes: 9 + depth: 5 + hits: 903 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 903 + raw fitness: 903.0000 + standardized fitness: 903.0000 + adjusted fitness: 0.9989 +TREE: + (log (exp (/ (* perimeter + (/ area -0.61055)) area))) +=== BEST-OF-RUN === + current 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minor_axis_length = 93.17562, eccentricity = 0.90942, convex_area = 16605.00000, extent = 0.66301, type = C + area = 11342.00000, perimeter = 429.78101, major_axis_length = 179.13814, minor_axis_length = 81.86805, eccentricity = 0.88946, convex_area = 11532.00000, extent = 0.57894, type = O + area = 13818.00000, perimeter = 475.01700, major_axis_length = 198.49921, minor_axis_length = 89.09570, eccentricity = 0.89361, convex_area = 14008.00000, extent = 0.59601, type = C + area = 14687.00000, perimeter = 498.39099, major_axis_length = 210.58044, minor_axis_length = 90.29588, eccentricity = 0.90340, convex_area = 14977.00000, extent = 0.56610, type = C + area = 13694.00000, perimeter = 464.56000, major_axis_length = 191.33110, minor_axis_length = 91.70782, eccentricity = 0.87764, convex_area = 13918.00000, extent = 0.70880, type = C + area = 11044.00000, perimeter = 420.21899, major_axis_length = 165.99222, minor_axis_length = 87.13152, eccentricity = 0.85116, convex_area = 11328.00000, extent = 0.61294, type = O + area = 10862.00000, perimeter = 421.01099, major_axis_length = 175.22003, minor_axis_length = 80.57565, eccentricity = 0.88799, convex_area = 11066.00000, extent = 0.61201, type = O + area = 14828.00000, perimeter = 493.50000, major_axis_length = 209.90356, minor_axis_length = 90.66991, eccentricity = 0.90189, convex_area = 15090.00000, extent = 0.60651, type = C + area = 13043.00000, perimeter = 471.35699, major_axis_length = 199.28964, minor_axis_length = 84.55070, eccentricity = 0.90554, convex_area = 13422.00000, extent = 0.73643, type = C + area = 10740.00000, perimeter = 422.76801, major_axis_length = 182.96492, minor_axis_length = 75.03802, eccentricity = 0.91203, convex_area = 10886.00000, extent = 0.55636, type = O + area = 10971.00000, perimeter = 407.35599, major_axis_length = 167.40466, minor_axis_length = 84.57907, eccentricity = 0.86298, convex_area = 11108.00000, extent = 0.73963, type = O + area = 11862.00000, perimeter = 436.29999, major_axis_length = 177.20021, minor_axis_length = 86.44499, eccentricity = 0.87293, convex_area = 12146.00000, extent = 0.76156, type = O + area = 10208.00000, perimeter = 394.53000, major_axis_length = 161.66724, minor_axis_length = 81.41670, eccentricity = 0.86393, convex_area = 10361.00000, extent = 0.66097, type = O + area = 12432.00000, perimeter = 453.04001, major_axis_length = 190.54366, minor_axis_length = 84.25046, eccentricity = 0.89694, convex_area = 12728.00000, extent = 0.76575, type = O + area = 12906.00000, perimeter = 461.20300, major_axis_length = 191.54367, minor_axis_length = 86.72736, eccentricity = 0.89162, convex_area = 13272.00000, extent = 0.73833, type = O + area = 10516.00000, perimeter = 423.39999, major_axis_length = 175.92067, minor_axis_length = 77.73805, eccentricity = 0.89707, convex_area = 10787.00000, extent = 0.63687, type = O + area = 13792.00000, perimeter = 475.78201, major_axis_length = 196.70659, minor_axis_length = 90.34711, eccentricity = 0.88828, convex_area = 14183.00000, extent = 0.77327, type = C + area = 11893.00000, perimeter = 441.39999, major_axis_length = 182.08620, minor_axis_length = 84.24277, eccentricity = 0.88654, convex_area = 12092.00000, extent = 0.57840, type = O + area = 14634.00000, perimeter = 493.02701, major_axis_length = 208.13615, minor_axis_length = 90.37943, eccentricity = 0.90080, convex_area = 14898.00000, extent = 0.71025, type = C diff --git a/PartB/90Cross90Mut2El/run_4/regress.stt b/PartB/90Cross90Mut2El/run_4/regress.stt new file mode 100644 index 0000000..79812ab --- /dev/null +++ b/PartB/90Cross90Mut2El/run_4/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9565 0.9986 0.0000 18.169 3.423 8 3 20 5 0.9565 0.9986 0.0000 18.169 3.423 8 3 20 5 +1 0 0.9932 0.9989 0.0000 16.180 3.478 22 6 38 7 0.9749 0.9989 0.0000 17.174 3.450 22 6 20 5 +2 0 0.9921 0.9989 0.0000 15.574 3.544 22 6 25 5 0.9806 0.9989 0.0000 16.641 3.482 22 6 20 5 +3 0 0.9919 0.9989 0.0000 14.411 3.491 22 6 23 6 0.9834 0.9989 0.0000 16.084 3.484 22 6 20 5 +4 0 0.9932 0.9989 0.0000 13.426 3.411 22 6 81 9 0.9854 0.9989 0.0000 15.552 3.469 22 6 20 5 +5 0 0.9946 0.9989 0.0000 12.606 3.374 22 6 59 9 0.9869 0.9989 0.0000 15.061 3.453 22 6 20 5 +6 0 0.9934 0.9989 0.0000 12.061 3.320 22 6 15 4 0.9879 0.9989 0.0000 14.632 3.434 22 6 20 5 +7 0 0.9958 0.9989 0.0000 11.249 3.197 22 6 19 8 0.9889 0.9989 0.0000 14.210 3.405 22 6 20 5 +8 0 0.9964 0.9989 0.0000 11.080 3.194 22 6 55 14 0.9897 0.9989 0.0000 13.862 3.381 22 6 20 5 +9 0 0.9950 0.9989 0.0000 10.193 3.098 22 6 17 7 0.9902 0.9989 0.0000 13.495 3.353 22 6 20 5 +10 0 0.9964 0.9989 0.0000 9.397 2.996 22 6 116 13 0.9908 0.9989 0.0000 13.122 3.320 22 6 20 5 +11 0 0.9976 0.9989 0.0000 9.316 2.996 22 6 51 11 0.9914 0.9989 0.0000 12.805 3.293 22 6 20 5 +12 0 0.9972 0.9989 0.0000 9.106 2.962 22 6 52 16 0.9918 0.9989 0.0000 12.521 3.268 22 6 20 5 +13 0 0.9970 0.9989 0.0000 8.981 2.938 9 5 77 9 0.9922 0.9989 0.0000 12.268 3.244 9 5 20 5 +14 0 0.9958 0.9989 0.0000 8.620 2.905 9 5 35 8 0.9924 0.9989 0.0000 12.025 3.222 9 5 20 5 +15 0 0.9964 0.9989 0.0000 8.296 2.829 9 5 48 12 0.9927 0.9989 0.0000 11.792 3.197 9 5 20 5 +16 0 0.9968 0.9989 0.0000 8.066 2.803 9 5 11 5 0.9929 0.9989 0.0000 11.572 3.174 9 5 20 5 +17 0 0.9962 0.9989 0.0000 7.634 2.728 9 5 49 13 0.9931 0.9989 0.0000 11.354 3.149 9 5 20 5 +18 0 0.9970 0.9989 0.0000 7.281 2.637 9 5 8 3 0.9933 0.9989 0.0000 11.139 3.122 9 5 20 5 +19 0 0.9968 0.9989 0.0000 7.013 2.565 9 5 16 6 0.9935 0.9989 0.0000 10.933 3.094 9 5 20 5 +20 0 0.9966 0.9989 0.0000 6.741 2.510 9 5 8 3 0.9936 0.9989 0.0000 10.733 3.067 9 5 20 5 +21 0 0.9962 0.9989 0.0000 6.532 2.469 9 5 30 8 0.9938 0.9989 0.0000 10.542 3.039 9 5 20 5 +22 0 0.9974 0.9989 0.0000 6.367 2.437 9 5 56 9 0.9939 0.9989 0.0000 10.361 3.013 9 5 20 5 +23 0 0.9974 0.9989 0.0000 6.114 2.353 9 5 36 9 0.9941 0.9989 0.0000 10.184 2.986 9 5 20 5 +24 0 0.9978 0.9989 0.0000 5.886 2.273 9 5 11 4 0.9942 0.9989 0.0000 10.012 2.957 9 5 20 5 +25 0 0.9972 0.9989 0.0000 5.822 2.226 9 5 21 7 0.9943 0.9989 0.0000 9.851 2.929 9 5 20 5 +26 0 0.9966 0.9989 0.0000 5.734 2.214 9 5 14 5 0.9944 0.9989 0.0000 9.698 2.903 9 5 20 5 +27 0 0.9978 0.9989 0.0000 5.573 2.160 9 5 14 5 0.9945 0.9989 0.0000 9.551 2.876 9 5 20 5 +28 0 0.9976 0.9989 0.0000 5.358 2.088 9 5 8 4 0.9947 0.9989 0.0000 9.406 2.849 9 5 20 5 +29 0 0.9978 0.9989 0.0000 5.137 1.998 9 5 46 8 0.9948 0.9989 0.0000 9.264 2.821 9 5 20 5 +30 0 0.9972 0.9989 0.0000 5.063 1.960 9 5 12 4 0.9948 0.9989 0.0000 9.129 2.793 9 5 20 5 +31 0 0.9976 0.9989 0.0000 5.056 1.958 9 5 14 5 0.9949 0.9989 0.0000 9.001 2.767 9 5 20 5 +32 0 0.9972 0.9989 0.0000 4.951 1.941 9 5 27 8 0.9950 0.9989 0.0000 8.879 2.742 9 5 20 5 +33 0 0.9976 0.9989 0.0000 4.938 1.934 9 5 13 5 0.9951 0.9989 0.0000 8.763 2.718 9 5 20 5 +34 0 0.9972 0.9989 0.0000 4.791 1.873 9 5 18 4 0.9951 0.9989 0.0000 8.649 2.694 9 5 20 5 +35 0 0.9974 0.9989 0.0000 4.569 1.777 9 5 22 8 0.9952 0.9989 0.0000 8.536 2.668 9 5 20 5 +36 0 0.9978 0.9989 0.0000 4.437 1.739 9 5 46 10 0.9953 0.9989 0.0000 8.425 2.643 9 5 20 5 +37 0 0.9978 0.9989 0.0000 4.452 1.741 9 5 16 5 0.9953 0.9989 0.0000 8.321 2.619 9 5 20 5 +38 0 0.9978 0.9989 0.0000 4.520 1.765 9 5 10 3 0.9954 0.9989 0.0000 8.223 2.598 9 5 20 5 +39 0 0.9978 0.9989 0.0000 4.456 1.756 9 5 19 8 0.9955 0.9989 0.0000 8.129 2.576 9 5 20 5 +40 0 0.9974 0.9989 0.0000 4.549 1.807 9 5 23 10 0.9955 0.9989 0.0000 8.042 2.558 9 5 20 5 +41 0 0.9970 0.9989 0.0000 4.404 1.742 9 5 21 8 0.9955 0.9989 0.0000 7.955 2.538 9 5 20 5 +42 0 0.9974 0.9989 0.0000 4.241 1.680 9 5 10 4 0.9956 0.9989 0.0000 7.869 2.518 9 5 20 5 +43 0 0.9974 0.9989 0.0000 4.166 1.662 9 5 11 5 0.9956 0.9989 0.0000 7.784 2.499 9 5 20 5 +44 0 0.9976 0.9989 0.0000 4.234 1.696 9 5 10 6 0.9957 0.9989 0.0000 7.706 2.481 9 5 20 5 +45 0 0.9976 0.9989 0.0000 4.372 1.747 9 5 11 4 0.9957 0.9989 0.0000 7.633 2.465 9 5 20 5 +46 0 0.9970 0.9989 0.0000 4.299 1.700 9 5 10 4 0.9958 0.9989 0.0000 7.562 2.449 9 5 20 5 +47 0 0.9976 0.9989 0.0000 4.339 1.720 9 5 6 3 0.9958 0.9989 0.0000 7.495 2.434 9 5 20 5 +48 0 0.9978 0.9989 0.0000 4.321 1.719 9 5 9 4 0.9958 0.9989 0.0000 7.430 2.419 9 5 20 5 +49 0 0.9976 0.9989 0.0000 4.336 1.720 9 5 21 7 0.9959 0.9989 0.0000 7.368 2.405 9 5 20 5 +50 0 0.9974 0.9989 0.0000 4.323 1.703 9 5 18 7 0.9959 0.9989 0.0000 7.309 2.391 9 5 20 5 +51 0 0.9974 0.9989 0.0000 4.379 1.715 9 5 14 6 0.9959 0.9989 0.0000 7.252 2.378 9 5 20 5 diff --git a/PartB/90Cross90Mut2El/run_4/regress.sys b/PartB/90Cross90Mut2El/run_4/regress.sys new file mode 100644 index 0000000..c033261 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_4/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 73. +creating initial population(s): + 7318 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (2s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (1s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 61456021 + freed: 61408021 + not freed: 48000 + max allocated: 2515797 + malloc'ed blocks: 926031 + realloc'ed blocks: 8 + free'ed blocks: 926025 + +------- time ------- + overall: 30s wall + evaluation: 26s wall + breeding: 4s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 24003 + freed: 24003 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_5/regress.bst b/PartB/90Cross90Mut2El/run_5/regress.bst new file mode 100644 index 0000000..8755203 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_5/regress.bst @@ -0,0 +1,27 @@ +=== BEST-OF-RUN === + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +TREE-equ: +y = (((((major + perimeter) / (minor - major)) + ((eccentricity / area) - exp(eccentricity))) / exp(((extent / eccentricity) / (convex * perimeter)))) + log(((area / (minor + minor)) - ((area + area) / log(minor))))) diff --git a/PartB/90Cross90Mut2El/run_5/regress.fn b/PartB/90Cross90Mut2El/run_5/regress.fn new file mode 100644 index 0000000..50a45e8 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_5/regress.fn @@ -0,0 +1,21 @@ +Hits: 2364, Total Size: 2810, Percent Hit: 84.128114 +CC: 960 +CO: 183 +OO: 1404 +OC: 263 +Fitness: 0.998811 +Hits: 840 + + +y = (((((major + perimeter) / (minor - major)) + ((eccentricity / area) - exp(eccentricity))) / exp(((extent / eccentricity) / (convex * perimeter)))) + log(((area / (minor + minor)) - ((area + area) / log(minor))))) + + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) diff --git a/PartB/90Cross90Mut2El/run_5/regress.gen b/PartB/90Cross90Mut2El/run_5/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_5/regress.his b/PartB/90Cross90Mut2El/run_5/regress.his new file mode 100644 index 0000000..5742cc0 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_5/regress.his @@ -0,0 +1,1352 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 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minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 0 + nodes: 38 + depth: 5 + hits: 839 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 839 + raw fitness: 839.0000 + standardized fitness: 839.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ (log area) + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) +=== BEST-OF-RUN === + current generation: 51 + generation: 25 + nodes: 37 + depth: 5 + hits: 840 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 840 + raw fitness: 840.0000 + standardized fitness: 840.0000 + adjusted fitness: 0.9988 +TREE: + (+ (/ (+ (/ (+ major perimeter) + (- minor major)) + (- (/ eccentricity area) + (exp eccentricity))) + (exp (/ (/ extent eccentricity) + (* convex perimeter)))) + (log (- (/ area + (+ minor minor)) + (/ (+ area area) + (log minor))))) diff --git a/PartB/90Cross90Mut2El/run_5/regress.prg b/PartB/90Cross90Mut2El/run_5/regress.prg new file mode 100644 index 0000000..3c4676a --- /dev/null +++ b/PartB/90Cross90Mut2El/run_5/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 10691.00000, perimeter = 407.08701, major_axis_length = 163.29175, minor_axis_length = 84.58920, eccentricity = 0.85537, convex_area = 10921.00000, extent = 0.61210, type = O + area = 15080.00000, perimeter = 500.00601, major_axis_length = 209.58928, minor_axis_length = 92.79666, eccentricity = 0.89664, convex_area = 15614.00000, extent = 0.73232, type = C + area = 11995.00000, perimeter = 477.41101, major_axis_length = 216.48775, minor_axis_length = 70.77008, eccentricity = 0.94506, convex_area = 12168.00000, extent = 0.66606, type = C + area = 11681.00000, perimeter = 422.04901, major_axis_length = 174.08575, minor_axis_length = 85.92032, eccentricity = 0.86972, convex_area = 11832.00000, extent = 0.60902, type = O + area = 15209.00000, perimeter = 496.56500, major_axis_length = 214.05008, minor_axis_length = 91.02632, eccentricity = 0.90507, convex_area = 15395.00000, extent = 0.56937, type = C + area = 14675.00000, perimeter = 493.92899, major_axis_length = 199.23363, minor_axis_length = 95.68336, eccentricity = 0.87713, convex_area = 15317.00000, extent = 0.61686, type = C + area = 11136.00000, perimeter = 427.10999, major_axis_length = 175.65308, minor_axis_length = 81.91878, eccentricity = 0.88459, convex_area = 11474.00000, extent = 0.57438, type = O + area = 10727.00000, perimeter = 425.90201, major_axis_length = 178.71443, minor_axis_length = 77.53144, eccentricity = 0.90100, convex_area = 10960.00000, extent = 0.56434, type = C + area = 10453.00000, perimeter = 411.44800, 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minor_axis_length = 87.98871, eccentricity = 0.87934, convex_area = 12903.00000, extent = 0.77204, type = O + area = 13693.00000, perimeter = 479.47900, major_axis_length = 200.39729, minor_axis_length = 88.17446, eccentricity = 0.89800, convex_area = 14097.00000, extent = 0.69525, type = C + area = 12092.00000, perimeter = 449.18900, major_axis_length = 192.57950, minor_axis_length = 80.42228, eccentricity = 0.90863, convex_area = 12298.00000, extent = 0.58393, type = C + area = 14149.00000, perimeter = 474.95200, major_axis_length = 195.35510, minor_axis_length = 93.33527, eccentricity = 0.87848, convex_area = 14454.00000, extent = 0.60569, type = C diff --git a/PartB/90Cross90Mut2El/run_5/regress.stt b/PartB/90Cross90Mut2El/run_5/regress.stt new file mode 100644 index 0000000..8844a83 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_5/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9603 0.9988 0.0000 18.423 3.478 38 5 6 3 0.9603 0.9988 0.0000 18.423 3.478 38 5 6 3 +1 0 0.9916 0.9988 0.0000 16.266 3.560 38 5 24 5 0.9759 0.9988 0.0000 17.344 3.519 38 5 6 3 +2 0 0.9918 0.9988 0.0000 15.616 3.642 38 5 9 3 0.9812 0.9988 0.0000 16.768 3.560 38 5 6 3 +3 0 0.9927 0.9988 0.0000 15.330 3.679 38 5 27 6 0.9841 0.9988 0.0000 16.409 3.590 38 5 6 3 +4 0 0.9936 0.9988 0.0000 14.436 3.659 38 5 34 9 0.9860 0.9988 0.0000 16.014 3.604 38 5 6 3 +5 0 0.9936 0.9988 0.0000 13.598 3.607 38 5 27 7 0.9872 0.9988 0.0000 15.611 3.604 38 5 6 3 +6 0 0.9944 0.9988 0.0000 12.737 3.523 38 5 39 6 0.9883 0.9988 0.0000 15.201 3.593 38 5 6 3 +7 0 0.9956 0.9988 0.0000 12.087 3.425 38 5 16 5 0.9892 0.9988 0.0000 14.812 3.572 38 5 6 3 +8 0 0.9976 0.9988 0.0000 11.596 3.403 38 5 19 8 0.9901 0.9988 0.0000 14.454 3.553 38 5 6 3 +9 0 0.9968 0.9988 0.0000 11.092 3.338 38 5 20 6 0.9908 0.9988 0.0000 14.118 3.531 38 5 6 3 +10 0 0.9952 0.9988 0.0000 10.639 3.237 38 5 41 11 0.9912 0.9988 0.0000 13.802 3.505 38 5 6 3 +11 0 0.9960 0.9988 0.0000 10.142 3.157 38 5 21 6 0.9916 0.9988 0.0000 13.497 3.476 38 5 6 3 +12 0 0.9960 0.9988 0.0000 9.742 3.098 38 5 23 7 0.9919 0.9988 0.0000 13.208 3.447 38 5 6 3 +13 0 0.9968 0.9988 0.0000 9.420 3.048 38 5 24 9 0.9923 0.9988 0.0000 12.937 3.418 38 5 6 3 +14 0 0.9962 0.9988 0.0000 8.807 2.924 38 5 27 7 0.9925 0.9988 0.0000 12.662 3.385 38 5 6 3 +15 0 0.9970 0.9988 0.0000 8.584 2.886 38 5 37 6 0.9928 0.9988 0.0000 12.407 3.354 38 5 6 3 +16 0 0.9966 0.9988 0.0000 8.245 2.820 38 5 33 10 0.9930 0.9988 0.0000 12.162 3.322 38 5 6 3 +17 0 0.9966 0.9988 0.0000 7.925 2.756 38 5 19 10 0.9932 0.9988 0.0000 11.927 3.291 38 5 6 3 +18 0 0.9968 0.9988 0.0000 7.503 2.648 38 5 15 6 0.9934 0.9988 0.0000 11.694 3.257 38 5 6 3 +19 0 0.9966 0.9988 0.0000 7.223 2.601 38 5 60 10 0.9936 0.9988 0.0000 11.470 3.224 38 5 6 3 +20 0 0.9964 0.9988 0.0000 6.797 2.466 38 5 81 10 0.9937 0.9988 0.0000 11.248 3.188 38 5 6 3 +21 0 0.9972 0.9988 0.0000 6.410 2.373 38 5 57 12 0.9939 0.9988 0.0000 11.028 3.151 38 5 6 3 +22 0 0.9972 0.9988 0.0000 6.260 2.346 38 5 23 9 0.9940 0.9988 0.0000 10.821 3.116 38 5 6 3 +23 0 0.9962 0.9988 0.0000 6.098 2.271 38 5 9 4 0.9941 0.9988 0.0000 10.624 3.081 38 5 6 3 +24 0 0.9976 0.9988 0.0000 5.813 2.204 38 5 18 5 0.9942 0.9988 0.0000 10.431 3.046 38 5 6 3 +25 0 0.9968 0.9988 0.0000 5.649 2.121 37 5 14 5 0.9943 0.9988 0.0000 10.248 3.010 37 5 6 3 +26 0 0.9978 0.9988 0.0000 5.595 2.106 37 5 21 9 0.9945 0.9988 0.0000 10.075 2.977 37 5 6 3 +27 0 0.9978 0.9988 0.0000 5.545 2.082 37 5 16 7 0.9946 0.9988 0.0000 9.913 2.945 37 5 6 3 +28 0 0.9968 0.9988 0.0000 5.510 2.082 37 5 16 7 0.9946 0.9988 0.0000 9.762 2.915 37 5 6 3 +29 0 0.9978 0.9988 0.0000 5.269 2.004 37 5 27 10 0.9948 0.9988 0.0000 9.612 2.885 37 5 6 3 +30 0 0.9972 0.9988 0.0000 5.096 1.941 37 5 14 5 0.9948 0.9988 0.0000 9.466 2.854 37 5 6 3 +31 0 0.9970 0.9988 0.0000 4.966 1.897 37 5 29 9 0.9949 0.9988 0.0000 9.326 2.824 37 5 6 3 +32 0 0.9972 0.9988 0.0000 4.830 1.852 37 5 14 5 0.9950 0.9988 0.0000 9.189 2.795 37 5 6 3 +33 0 0.9978 0.9988 0.0000 4.797 1.850 37 5 13 5 0.9951 0.9988 0.0000 9.060 2.767 37 5 6 3 +34 0 0.9978 0.9988 0.0000 4.892 1.878 37 5 13 6 0.9951 0.9988 0.0000 8.941 2.742 37 5 6 3 +35 0 0.9974 0.9988 0.0000 4.876 1.872 37 5 11 5 0.9952 0.9988 0.0000 8.828 2.718 37 5 6 3 +36 0 0.9978 0.9988 0.0000 4.844 1.860 37 5 28 7 0.9953 0.9988 0.0000 8.720 2.694 37 5 6 3 +37 0 0.9978 0.9988 0.0000 4.909 1.884 37 5 15 7 0.9953 0.9988 0.0000 8.620 2.673 37 5 6 3 +38 0 0.9974 0.9988 0.0000 4.929 1.898 37 5 35 6 0.9954 0.9988 0.0000 8.525 2.653 37 5 6 3 +39 0 0.9976 0.9988 0.0000 4.839 1.873 37 5 15 5 0.9954 0.9988 0.0000 8.433 2.634 37 5 6 3 +40 0 0.9980 0.9988 0.9973 4.803 1.860 37 5 3 1 0.9955 0.9988 0.0000 8.345 2.615 37 5 6 3 +41 0 0.9978 0.9988 0.0000 4.788 1.868 37 5 16 5 0.9955 0.9988 0.0000 8.260 2.597 37 5 6 3 +42 0 0.9978 0.9988 0.0000 4.805 1.876 37 5 18 7 0.9956 0.9988 0.0000 8.180 2.580 37 5 6 3 +43 0 0.9974 0.9988 0.0000 4.742 1.872 37 5 12 4 0.9956 0.9988 0.0000 8.102 2.564 37 5 6 3 +44 0 0.9980 0.9988 0.9958 4.636 1.818 37 5 9 4 0.9957 0.9988 0.0000 8.025 2.548 37 5 6 3 +45 0 0.9976 0.9988 0.0000 4.691 1.824 37 5 33 10 0.9957 0.9988 0.0000 7.952 2.532 37 5 6 3 +46 0 0.9968 0.9988 0.0000 4.679 1.814 37 5 9 4 0.9958 0.9988 0.0000 7.883 2.517 37 5 6 3 +47 0 0.9976 0.9988 0.0000 4.657 1.807 37 5 5 2 0.9958 0.9988 0.0000 7.815 2.502 37 5 6 3 +48 0 0.9980 0.9988 0.9939 4.588 1.761 37 5 19 5 0.9958 0.9988 0.0000 7.749 2.487 37 5 6 3 +49 0 0.9974 0.9988 0.0000 4.625 1.795 37 5 8 4 0.9959 0.9988 0.0000 7.687 2.473 37 5 6 3 +50 0 0.9962 0.9988 0.0000 4.754 1.820 37 5 6 2 0.9959 0.9988 0.0000 7.629 2.460 37 5 6 3 +51 0 0.9978 0.9988 0.0000 4.706 1.816 37 5 11 6 0.9959 0.9988 0.0000 7.573 2.448 37 5 6 3 diff --git a/PartB/90Cross90Mut2El/run_5/regress.sys b/PartB/90Cross90Mut2El/run_5/regress.sys new file mode 100644 index 0000000..6e8de5e --- /dev/null +++ b/PartB/90Cross90Mut2El/run_5/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 1500. +creating initial population(s): + 7165 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 62867566 + freed: 62819566 + not freed: 48000 + max allocated: 2530695 + malloc'ed blocks: 926060 + realloc'ed blocks: 8 + free'ed blocks: 926054 + +------- time ------- + overall: 31s wall + evaluation: 30s wall + breeding: 0s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 23960 + freed: 23960 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_6/regress.bst b/PartB/90Cross90Mut2El/run_6/regress.bst new file mode 100644 index 0000000..060a8d6 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_6/regress.bst @@ -0,0 +1,20 @@ +=== BEST-OF-RUN === + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +TREE-equ: +y = (-0.60673 / (exp(perimeter) * exp((major + minor)))) diff --git a/PartB/90Cross90Mut2El/run_6/regress.fn b/PartB/90Cross90Mut2El/run_6/regress.fn new file mode 100644 index 0000000..fe09eed --- /dev/null +++ b/PartB/90Cross90Mut2El/run_6/regress.fn @@ -0,0 +1,14 @@ +Hits: 2322, Total Size: 2810, Percent Hit: 82.633452 +CC: 1102 +CO: 27 +OO: 1220 +OC: 461 +Fitness: 0.998856 +Hits: 873 + + +y = (-0.60673 / (exp(perimeter) * exp((major + minor)))) + + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) diff --git a/PartB/90Cross90Mut2El/run_6/regress.gen b/PartB/90Cross90Mut2El/run_6/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_6/regress.his b/PartB/90Cross90Mut2El/run_6/regress.his new file mode 100644 index 0000000..d8b153c --- /dev/null +++ b/PartB/90Cross90Mut2El/run_6/regress.his @@ -0,0 +1,989 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 24 + depth: 5 + hits: 753 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 753 + raw fitness: 753.0000 + standardized fitness: 753.0000 + adjusted fitness: 0.9987 +TREE: + (* (exp (exp (log (log convex)))) + (/ (- (exp (/ major minor)) + (log (- major convex))) + (log (- (* major perimeter) + (/ perimeter perimeter))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 7 + depth: 2 + hits: 772 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 772 + raw fitness: 772.0000 + standardized fitness: 772.0000 + adjusted fitness: 0.9987 +TREE: + (/ (* -0.78501 minor) + (- 0.89598 eccentricity)) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 14 + depth: 6 + hits: 860 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 860 + raw fitness: 860.0000 + standardized fitness: 860.0000 + adjusted fitness: 0.9988 +TREE: + (log (- (exp (/ 0.03747 extent)) + (log (log (/ (* convex eccentricity) + (log minor)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 14 + depth: 6 + hits: 860 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 860 + raw fitness: 860.0000 + standardized fitness: 860.0000 + adjusted fitness: 0.9988 +TREE: + (log (- (exp (/ 0.03747 extent)) + (log (log (/ (* convex eccentricity) + (log minor)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 14 + depth: 6 + hits: 860 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 860 + raw fitness: 860.0000 + standardized fitness: 860.0000 + adjusted fitness: 0.9988 +TREE: + (log (- (exp (/ 0.03747 extent)) + (log (log (/ (* convex eccentricity) + (log minor)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 9 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 10 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 11 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 12 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 13 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 14 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 15 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 16 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 17 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 18 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 19 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 20 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 21 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 22 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 23 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 24 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 25 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 26 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 27 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 28 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 29 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 30 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 31 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 32 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 33 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 34 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 35 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 36 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 37 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 38 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 39 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 40 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 41 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 42 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 43 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 44 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 45 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 46 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 47 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 48 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 49 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 50 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) +=== BEST-OF-RUN === + current generation: 51 + generation: 5 + nodes: 9 + depth: 4 + hits: 873 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 873 + raw fitness: 873.0000 + standardized fitness: 873.0000 + adjusted fitness: 0.9989 +TREE: + (/ -0.60673 + (* (exp perimeter) + (exp (+ major minor)))) diff --git a/PartB/90Cross90Mut2El/run_6/regress.prg b/PartB/90Cross90Mut2El/run_6/regress.prg new file mode 100644 index 0000000..14874fa --- /dev/null +++ b/PartB/90Cross90Mut2El/run_6/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 12164.00000, perimeter = 436.60901, major_axis_length = 180.37566, minor_axis_length = 86.53325, eccentricity = 0.87741, convex_area = 12351.00000, extent = 0.63719, type = O + area = 10189.00000, perimeter = 454.31601, major_axis_length = 180.73766, minor_axis_length = 73.32643, eccentricity = 0.91400, convex_area = 11000.00000, extent = 0.51979, type = O + area = 15137.00000, perimeter = 494.60501, 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bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9613 0.9987 0.0000 18.470 3.468 24 5 53 5 0.9613 0.9987 0.0000 18.470 3.468 24 5 53 5 +1 0 0.9924 0.9987 0.0000 15.871 3.473 7 2 60 7 0.9768 0.9987 0.0000 17.170 3.471 7 2 53 5 +2 0 0.9916 0.9988 0.0000 15.394 3.528 14 6 21 6 0.9818 0.9988 0.0000 16.578 3.490 14 6 53 5 +3 0 0.9924 0.9988 0.0000 14.988 3.578 14 6 16 6 0.9844 0.9988 0.0000 16.181 3.512 14 6 53 5 +4 0 0.9937 0.9988 0.0000 14.056 3.584 14 6 45 5 0.9863 0.9988 0.0000 15.756 3.526 14 6 53 5 +5 0 0.9954 0.9989 0.0000 13.272 3.501 9 4 92 14 0.9878 0.9989 0.0000 15.342 3.522 9 4 53 5 +6 0 0.9946 0.9989 0.0000 12.351 3.425 9 4 18 9 0.9888 0.9989 0.0000 14.915 3.508 9 4 53 5 +7 0 0.9954 0.9989 0.0000 11.530 3.281 9 4 28 7 0.9896 0.9989 0.0000 14.491 3.480 9 4 53 5 +8 0 0.9958 0.9989 0.0000 11.076 3.231 9 4 23 9 0.9903 0.9989 0.0000 14.112 3.452 9 4 53 5 +9 0 0.9966 0.9989 0.0000 10.368 3.136 9 4 19 8 0.9909 0.9989 0.0000 13.738 3.420 9 4 53 5 +10 0 0.9968 0.9989 0.0000 10.107 3.167 9 4 18 8 0.9915 0.9989 0.0000 13.408 3.397 9 4 53 5 +11 0 0.9964 0.9989 0.0000 9.482 3.072 9 4 53 10 0.9919 0.9989 0.0000 13.080 3.370 9 4 53 5 +12 0 0.9960 0.9989 0.0000 8.765 2.939 9 4 40 10 0.9922 0.9989 0.0000 12.748 3.337 9 4 53 5 +13 0 0.9964 0.9989 0.0000 8.452 2.850 9 4 40 7 0.9925 0.9989 0.0000 12.441 3.302 9 4 53 5 +14 0 0.9956 0.9989 0.0000 8.161 2.794 9 4 31 9 0.9927 0.9989 0.0000 12.156 3.268 9 4 53 5 +15 0 0.9972 0.9989 0.0000 7.951 2.764 9 4 45 14 0.9930 0.9989 0.0000 11.893 3.237 9 4 53 5 +16 0 0.9972 0.9989 0.0000 7.710 2.720 9 4 51 9 0.9932 0.9989 0.0000 11.647 3.206 9 4 53 5 +17 0 0.9978 0.9989 0.0000 7.214 2.604 9 4 27 10 0.9935 0.9989 0.0000 11.401 3.173 9 4 53 5 +18 0 0.9974 0.9989 0.0000 6.931 2.531 9 4 27 10 0.9937 0.9989 0.0000 11.166 3.139 9 4 53 5 +19 0 0.9974 0.9989 0.0000 6.721 2.441 9 4 14 5 0.9939 0.9989 0.0000 10.943 3.104 9 4 53 5 +20 0 0.9976 0.9989 0.0000 6.475 2.367 9 4 5 2 0.9941 0.9989 0.0000 10.731 3.069 9 4 53 5 +21 0 0.9970 0.9989 0.0000 6.416 2.362 9 4 36 10 0.9942 0.9989 0.0000 10.535 3.037 9 4 53 5 +22 0 0.9964 0.9989 0.0000 6.237 2.300 9 4 9 4 0.9943 0.9989 0.0000 10.348 3.005 9 4 53 5 +23 0 0.9970 0.9989 0.0000 6.022 2.217 9 4 9 4 0.9944 0.9989 0.0000 10.167 2.972 9 4 53 5 +24 0 0.9972 0.9989 0.0000 5.783 2.133 9 4 11 4 0.9945 0.9989 0.0000 9.992 2.939 9 4 53 5 +25 0 0.9976 0.9989 0.0000 5.620 2.112 9 4 11 4 0.9946 0.9989 0.0000 9.824 2.907 9 4 53 5 +26 0 0.9972 0.9989 0.0000 5.580 2.096 9 4 48 7 0.9947 0.9989 0.0000 9.667 2.877 9 4 53 5 +27 0 0.9978 0.9989 0.0000 5.473 2.057 9 4 63 10 0.9948 0.9989 0.0000 9.517 2.847 9 4 53 5 +28 0 0.9976 0.9989 0.0000 5.383 2.027 9 4 73 9 0.9949 0.9989 0.0000 9.374 2.819 9 4 53 5 +29 0 0.9976 0.9989 0.0000 5.363 2.036 9 4 21 6 0.9950 0.9989 0.0000 9.241 2.793 9 4 53 5 +30 0 0.9968 0.9989 0.0000 5.216 2.003 9 4 10 5 0.9951 0.9989 0.0000 9.111 2.768 9 4 53 5 +31 0 0.9978 0.9989 0.0000 5.060 1.935 9 4 12 4 0.9952 0.9989 0.0000 8.984 2.742 9 4 53 5 +32 0 0.9972 0.9989 0.0000 5.076 1.945 9 4 29 8 0.9952 0.9989 0.0000 8.866 2.717 9 4 53 5 +33 0 0.9978 0.9989 0.0000 4.918 1.906 9 4 13 4 0.9953 0.9989 0.0000 8.750 2.694 9 4 53 5 +34 0 0.9966 0.9989 0.0000 4.872 1.894 9 4 9 4 0.9953 0.9989 0.0000 8.639 2.671 9 4 53 5 +35 0 0.9972 0.9989 0.0000 4.791 1.870 9 4 13 4 0.9954 0.9989 0.0000 8.532 2.648 9 4 53 5 +36 0 0.9978 0.9989 0.0000 4.698 1.818 9 4 43 9 0.9955 0.9989 0.0000 8.428 2.626 9 4 53 5 +37 0 0.9978 0.9989 0.0000 4.710 1.822 9 4 6 3 0.9955 0.9989 0.0000 8.331 2.605 9 4 53 5 +38 0 0.9974 0.9989 0.0000 4.764 1.822 9 4 19 6 0.9956 0.9989 0.0000 8.239 2.585 9 4 53 5 +39 0 0.9974 0.9989 0.0000 4.719 1.814 9 4 28 7 0.9956 0.9989 0.0000 8.151 2.566 9 4 53 5 +40 0 0.9978 0.9989 0.0000 4.639 1.807 9 4 13 4 0.9957 0.9989 0.0000 8.065 2.547 9 4 53 5 +41 0 0.9970 0.9989 0.0000 4.776 1.857 9 4 10 4 0.9957 0.9989 0.0000 7.987 2.531 9 4 53 5 +42 0 0.9970 0.9989 0.0000 4.796 1.861 9 4 17 6 0.9957 0.9989 0.0000 7.913 2.515 9 4 53 5 +43 0 0.9980 0.9989 0.9972 4.743 1.856 9 4 11 4 0.9958 0.9989 0.0000 7.841 2.500 9 4 53 5 +44 0 0.9972 0.9989 0.0000 4.697 1.835 9 4 18 7 0.9958 0.9989 0.0000 7.771 2.485 9 4 53 5 +45 0 0.9978 0.9989 0.0000 4.641 1.814 9 4 26 9 0.9959 0.9989 0.0000 7.703 2.471 9 4 53 5 +46 0 0.9980 0.9989 0.9977 4.717 1.856 9 4 13 4 0.9959 0.9989 0.0000 7.639 2.458 9 4 53 5 +47 0 0.9976 0.9989 0.0000 4.659 1.828 9 4 12 6 0.9959 0.9989 0.0000 7.577 2.444 9 4 53 5 +48 0 0.9974 0.9989 0.0000 4.722 1.830 9 4 8 4 0.9960 0.9989 0.0000 7.519 2.432 9 4 53 5 +49 0 0.9972 0.9989 0.0000 4.684 1.812 9 4 21 7 0.9960 0.9989 0.0000 7.462 2.420 9 4 53 5 +50 0 0.9972 0.9989 0.0000 4.569 1.771 9 4 12 4 0.9960 0.9989 0.0000 7.406 2.407 9 4 53 5 +51 0 0.9974 0.9989 0.0000 4.617 1.805 9 4 9 5 0.9960 0.9989 0.0000 7.352 2.395 9 4 53 5 diff --git a/PartB/90Cross90Mut2El/run_6/regress.sys b/PartB/90Cross90Mut2El/run_6/regress.sys new file mode 100644 index 0000000..0095f9d --- /dev/null +++ b/PartB/90Cross90Mut2El/run_6/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 312. +creating initial population(s): + 7483 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (2s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (1s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 61861219 + freed: 61813219 + not freed: 48000 + max allocated: 2517574 + malloc'ed blocks: 926457 + realloc'ed blocks: 8 + free'ed blocks: 926451 + +------- time ------- + overall: 31s wall + evaluation: 29s wall + breeding: 1s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 23890 + freed: 23890 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_7/regress.bst b/PartB/90Cross90Mut2El/run_7/regress.bst new file mode 100644 index 0000000..653d829 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_7/regress.bst @@ -0,0 +1,22 @@ +=== BEST-OF-RUN === + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +TREE-equ: +y = (perimeter / ((((minor / (area * 0.06174)) / log(0.95077)) / 0.87933) + exp(eccentricity))) diff --git a/PartB/90Cross90Mut2El/run_7/regress.fn b/PartB/90Cross90Mut2El/run_7/regress.fn new file mode 100644 index 0000000..3cd7d09 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_7/regress.fn @@ -0,0 +1,16 @@ +Hits: 2596, Total Size: 2810, Percent Hit: 92.384342 +CC: 1016 +CO: 112 +OO: 1580 +OC: 102 +Fitness: 0.998893 +Hits: 902 + + +y = (perimeter / ((((minor / (area * 0.06174)) / log(0.95077)) / 0.87933) + exp(eccentricity))) + + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) diff --git a/PartB/90Cross90Mut2El/run_7/regress.gen b/PartB/90Cross90Mut2El/run_7/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_7/regress.his b/PartB/90Cross90Mut2El/run_7/regress.his new file mode 100644 index 0000000..677633a --- /dev/null +++ b/PartB/90Cross90Mut2El/run_7/regress.his @@ -0,0 +1,1089 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 32 + depth: 5 + hits: 647 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 647 + raw fitness: 647.0000 + standardized fitness: 647.0000 + adjusted fitness: 0.9985 +TREE: + (+ (- (- (log (- eccentricity minor)) + (- (exp major) + (/ perimeter perimeter))) + (+ (/ (log extent) + (exp minor)) + (log (- convex convex)))) + (log (exp (+ (- major 0.15709) + (+ perimeter eccentricity))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 2 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 3 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 4 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 5 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 6 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 7 + generation: 1 + nodes: 25 + depth: 5 + hits: 705 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 705 + raw fitness: 705.0000 + standardized fitness: 705.0000 + adjusted fitness: 0.9986 +TREE: + (* (/ (log (* (log convex) + (log eccentricity))) + (+ (exp eccentricity) + (- area convex))) + (+ (log (exp eccentricity)) + (* (+ area extent) + (+ 0.94300 eccentricity)))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 10 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 11 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 12 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 13 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 14 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 15 + generation: 8 + nodes: 10 + depth: 4 + hits: 777 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 777 + raw fitness: 777.0000 + standardized fitness: 777.0000 + adjusted fitness: 0.9987 +TREE: + (/ (- eccentricity + (log (/ perimeter major))) + (/ 0.48755 eccentricity)) +=== BEST-OF-RUN === + current generation: 16 + generation: 16 + nodes: 20 + depth: 10 + hits: 898 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 898 + raw fitness: 898.0000 + standardized fitness: 898.0000 + adjusted fitness: 0.9989 +TREE: + (/ convex + (log (exp (- (+ -0.61280 + (- (+ (- (exp (- major area)) major) extent) 0.52491)) + (+ perimeter minor))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 16 + nodes: 20 + depth: 10 + hits: 898 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 898 + raw fitness: 898.0000 + standardized fitness: 898.0000 + adjusted fitness: 0.9989 +TREE: + (/ convex + (log (exp (- (+ -0.61280 + (- (+ (- (exp (- major area)) major) extent) 0.52491)) + (+ perimeter minor))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 16 + nodes: 20 + depth: 10 + hits: 898 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 898 + raw fitness: 898.0000 + standardized fitness: 898.0000 + adjusted fitness: 0.9989 +TREE: + (/ convex + (log (exp (- (+ -0.61280 + (- (+ (- (exp (- major area)) major) extent) 0.52491)) + (+ perimeter minor))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 16 + nodes: 20 + depth: 10 + hits: 898 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 898 + raw fitness: 898.0000 + standardized fitness: 898.0000 + adjusted fitness: 0.9989 +TREE: + (/ convex + (log (exp (- (+ -0.61280 + (- (+ (- (exp (- major area)) major) extent) 0.52491)) + (+ perimeter minor))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 21 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 22 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 23 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 24 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 25 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 26 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 27 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 28 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 29 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 30 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 31 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 32 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) +=== BEST-OF-RUN === + current generation: 33 + generation: 20 + nodes: 15 + depth: 6 + hits: 902 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 902 + raw fitness: 902.0000 + standardized fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + 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fitness: 902.0000 + adjusted fitness: 0.9989 +TREE: + (/ perimeter + (+ (/ (/ (/ minor + (* area 0.06174)) + (log 0.95077)) 0.87933) + (exp eccentricity))) diff --git a/PartB/90Cross90Mut2El/run_7/regress.prg b/PartB/90Cross90Mut2El/run_7/regress.prg new file mode 100644 index 0000000..7a64984 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_7/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 9216.00000, perimeter = 384.34201, major_axis_length = 163.29163, minor_axis_length = 72.26080, eccentricity = 0.89676, convex_area = 9352.00000, extent = 0.62477, type = O + area = 11422.00000, perimeter = 429.20499, major_axis_length = 178.55898, minor_axis_length = 82.38754, eccentricity = 0.88719, convex_area = 11668.00000, extent = 0.68559, type = O + area = 10015.00000, perimeter = 402.17899, major_axis_length = 160.38683, minor_axis_length = 81.07691, eccentricity = 0.86282, convex_area = 10338.00000, extent = 0.69462, type = O + area = 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major_axis_length = 216.27165, minor_axis_length = 100.43251, eccentricity = 0.88564, convex_area = 17404.00000, extent = 0.73522, type = C + area = 11976.00000, perimeter = 444.64401, major_axis_length = 188.98186, minor_axis_length = 81.36696, eccentricity = 0.90256, convex_area = 12149.00000, extent = 0.55801, type = O + area = 12898.00000, perimeter = 454.76700, major_axis_length = 184.37398, minor_axis_length = 90.95403, eccentricity = 0.86985, convex_area = 13223.00000, extent = 0.75781, type = O + area = 10841.00000, perimeter = 413.45999, major_axis_length = 170.96480, minor_axis_length = 81.67490, eccentricity = 0.87851, convex_area = 11070.00000, extent = 0.65449, type = O + area = 12715.00000, perimeter = 462.61700, major_axis_length = 197.49364, minor_axis_length = 82.39475, eccentricity = 0.90881, convex_area = 12924.00000, extent = 0.68272, type = O + area = 11646.00000, perimeter = 435.60699, major_axis_length = 177.84079, minor_axis_length = 84.54723, eccentricity = 0.87976, convex_area = 11902.00000, extent = 0.62212, type = O + area = 11981.00000, perimeter = 448.82700, major_axis_length = 190.12900, minor_axis_length = 81.32439, eccentricity = 0.90391, convex_area = 12154.00000, extent = 0.56209, type = C + area = 12723.00000, perimeter = 465.94199, major_axis_length = 197.75232, minor_axis_length = 83.90300, eccentricity = 0.90553, convex_area = 12974.00000, extent = 0.68315, type = C + area = 14645.00000, perimeter = 485.11301, major_axis_length = 201.15378, minor_axis_length = 93.58040, eccentricity = 0.88520, convex_area = 14889.00000, extent = 0.64641, type = C + area = 11890.00000, perimeter = 430.33899, major_axis_length = 174.82278, minor_axis_length = 87.97628, eccentricity = 0.86415, convex_area = 12142.00000, extent = 0.68728, type = O + area = 12104.00000, perimeter = 441.77499, major_axis_length = 182.46213, minor_axis_length = 85.51347, eccentricity = 0.88338, convex_area = 12378.00000, extent = 0.73913, type = C + area = 16602.00000, perimeter = 528.35303, major_axis_length = 224.41542, minor_axis_length = 95.47276, eccentricity = 0.90499, convex_area = 16900.00000, extent = 0.56548, type = C + area = 10928.00000, perimeter = 410.94000, major_axis_length = 171.74614, minor_axis_length = 81.38594, eccentricity = 0.88059, convex_area = 11132.00000, extent = 0.61119, type = O + area = 10796.00000, perimeter = 410.10999, major_axis_length = 165.73335, minor_axis_length = 84.24877, eccentricity = 0.86116, convex_area = 11060.00000, extent = 0.68002, type = O + area = 11923.00000, perimeter = 432.33401, major_axis_length = 174.23662, minor_axis_length = 88.13160, eccentricity = 0.86264, convex_area = 12187.00000, extent = 0.62450, type = O + area = 10731.00000, perimeter = 414.17499, major_axis_length = 170.21010, minor_axis_length = 81.19894, eccentricity = 0.87888, convex_area = 10922.00000, extent = 0.59320, type = O + area = 11689.00000, perimeter = 444.89801, major_axis_length = 191.93597, minor_axis_length = 78.10004, eccentricity = 0.91347, convex_area = 11935.00000, extent = 0.54930, type = C + area = 11181.00000, perimeter = 420.41299, major_axis_length = 171.03383, minor_axis_length = 84.87569, eccentricity = 0.86818, convex_area = 11406.00000, extent = 0.79242, type = O + area = 11679.00000, perimeter = 417.82501, major_axis_length = 170.56799, minor_axis_length = 87.63663, eccentricity = 0.85791, convex_area = 11853.00000, extent = 0.79433, type = O + area = 12386.00000, perimeter = 467.85001, major_axis_length = 201.90131, minor_axis_length = 79.30883, eccentricity = 0.91962, convex_area = 12679.00000, extent = 0.79184, type = C + area = 13509.00000, perimeter = 480.46600, major_axis_length = 207.13716, minor_axis_length = 83.94016, eccentricity = 0.91421, convex_area = 13732.00000, extent = 0.59563, type = C + area = 12142.00000, perimeter = 443.51501, major_axis_length = 177.74475, minor_axis_length = 88.19751, eccentricity = 0.86821, convex_area = 12459.00000, extent = 0.61563, type = O + area = 15159.00000, perimeter = 515.13098, major_axis_length = 216.06192, minor_axis_length = 91.02570, eccentricity = 0.90692, convex_area = 15685.00000, extent = 0.65071, type = C + area = 14842.00000, perimeter = 505.72601, major_axis_length = 214.95474, minor_axis_length = 88.66093, eccentricity = 0.91097, convex_area = 15313.00000, extent = 0.54450, type = C + area = 12537.00000, perimeter = 440.10599, major_axis_length = 177.27472, minor_axis_length = 91.08681, eccentricity = 0.85790, convex_area = 12845.00000, extent = 0.67043, type = O diff --git a/PartB/90Cross90Mut2El/run_7/regress.stt b/PartB/90Cross90Mut2El/run_7/regress.stt new file mode 100644 index 0000000..b8391b1 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_7/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9581 0.9985 0.0000 18.421 3.455 32 5 17 5 0.9581 0.9985 0.0000 18.421 3.455 32 5 17 5 +1 0 0.9922 0.9986 0.0000 16.303 3.490 25 5 100 7 0.9751 0.9986 0.0000 17.362 3.473 25 5 17 5 +2 0 0.9914 0.9986 0.0000 15.458 3.521 25 5 34 5 0.9806 0.9986 0.0000 16.727 3.489 25 5 17 5 +3 0 0.9938 0.9986 0.0000 14.154 3.467 25 5 16 5 0.9839 0.9986 0.0000 16.084 3.483 25 5 17 5 +4 0 0.9932 0.9986 0.0000 13.621 3.478 25 5 25 7 0.9857 0.9986 0.0000 15.591 3.482 25 5 17 5 +5 0 0.9956 0.9986 0.0000 13.288 3.457 25 5 33 7 0.9874 0.9986 0.0000 15.207 3.478 25 5 17 5 +6 0 0.9944 0.9986 0.0000 12.699 3.428 25 5 18 5 0.9884 0.9986 0.0000 14.849 3.471 25 5 17 5 +7 0 0.9946 0.9986 0.0000 11.774 3.358 25 5 23 6 0.9892 0.9986 0.0000 14.465 3.457 25 5 17 5 +8 0 0.9956 0.9987 0.0000 11.138 3.313 10 4 17 6 0.9899 0.9987 0.0000 14.095 3.441 10 4 17 5 +9 0 0.9944 0.9987 0.0000 10.775 3.253 10 4 6 3 0.9903 0.9987 0.0000 13.763 3.422 10 4 17 5 +10 0 0.9960 0.9987 0.0000 10.474 3.248 10 4 45 6 0.9909 0.9987 0.0000 13.464 3.406 10 4 17 5 +11 0 0.9956 0.9987 0.0000 10.047 3.175 10 4 81 9 0.9913 0.9987 0.0000 13.179 3.387 10 4 17 5 +12 0 0.9946 0.9987 0.0000 9.532 3.098 10 4 11 4 0.9915 0.9987 0.0000 12.899 3.365 10 4 17 5 +13 0 0.9966 0.9987 0.0000 9.075 3.001 10 4 34 6 0.9919 0.9987 0.0000 12.626 3.339 10 4 17 5 +14 0 0.9974 0.9987 0.0000 8.586 2.869 10 4 6 3 0.9922 0.9987 0.0000 12.356 3.307 10 4 17 5 +15 0 0.9970 0.9987 0.0000 8.397 2.830 10 4 8 3 0.9925 0.9987 0.0000 12.109 3.278 10 4 17 5 +16 0 0.9962 0.9989 0.0000 8.046 2.758 20 10 14 6 0.9928 0.9989 0.0000 11.870 3.247 20 10 17 5 +17 0 0.9972 0.9989 0.0000 7.831 2.730 20 10 7 3 0.9930 0.9989 0.0000 11.646 3.218 20 10 17 5 +18 0 0.9964 0.9989 0.0000 7.551 2.675 20 10 72 10 0.9932 0.9989 0.0000 11.430 3.190 20 10 17 5 +19 0 0.9968 0.9989 0.0000 7.300 2.634 20 10 30 11 0.9934 0.9989 0.0000 11.224 3.162 20 10 17 5 +20 0 0.9958 0.9989 0.0000 7.193 2.594 15 6 14 5 0.9935 0.9989 0.0000 11.032 3.135 15 6 17 5 +21 0 0.9968 0.9989 0.0000 6.756 2.463 15 6 15 5 0.9936 0.9989 0.0000 10.837 3.104 15 6 17 5 +22 0 0.9962 0.9989 0.0000 6.326 2.335 15 6 41 9 0.9937 0.9989 0.0000 10.641 3.071 15 6 17 5 +23 0 0.9966 0.9989 0.0000 6.107 2.281 15 6 10 4 0.9939 0.9989 0.0000 10.452 3.038 15 6 17 5 +24 0 0.9972 0.9989 0.0000 5.820 2.231 15 6 12 6 0.9940 0.9989 0.0000 10.267 3.006 15 6 17 5 +25 0 0.9974 0.9989 0.0000 5.774 2.197 15 6 19 7 0.9941 0.9989 0.0000 10.094 2.975 15 6 17 5 +26 0 0.9976 0.9989 0.0000 5.515 2.113 15 6 17 5 0.9943 0.9989 0.0000 9.925 2.943 15 6 17 5 +27 0 0.9974 0.9989 0.0000 5.393 2.084 15 6 34 9 0.9944 0.9989 0.0000 9.763 2.912 15 6 17 5 +28 0 0.9968 0.9989 0.0000 5.183 1.991 15 6 13 6 0.9945 0.9989 0.0000 9.605 2.880 15 6 17 5 +29 0 0.9974 0.9989 0.0000 5.127 1.974 15 6 17 8 0.9946 0.9989 0.0000 9.456 2.850 15 6 17 5 +30 0 0.9974 0.9989 0.0000 5.082 1.962 15 6 10 4 0.9946 0.9989 0.0000 9.315 2.822 15 6 17 5 +31 0 0.9974 0.9989 0.0000 5.061 1.935 15 6 11 6 0.9947 0.9989 0.0000 9.182 2.794 15 6 17 5 +32 0 0.9968 0.9989 0.0000 4.978 1.907 15 6 8 4 0.9948 0.9989 0.0000 9.054 2.767 15 6 17 5 +33 0 0.9972 0.9989 0.0000 4.799 1.866 15 6 10 4 0.9949 0.9989 0.0000 8.929 2.740 15 6 17 5 +34 0 0.9976 0.9989 0.0000 4.766 1.877 15 6 8 4 0.9949 0.9989 0.0000 8.810 2.716 15 6 17 5 +35 0 0.9972 0.9989 0.0000 4.808 1.897 15 6 22 5 0.9950 0.9989 0.0000 8.699 2.693 15 6 17 5 +36 0 0.9972 0.9989 0.0000 4.666 1.854 15 6 8 4 0.9951 0.9989 0.0000 8.590 2.670 15 6 17 5 +37 0 0.9978 0.9989 0.0000 4.552 1.789 15 6 21 6 0.9951 0.9989 0.0000 8.484 2.647 15 6 17 5 +38 0 0.9978 0.9989 0.0000 4.455 1.757 15 6 12 4 0.9952 0.9989 0.0000 8.380 2.624 15 6 17 5 +39 0 0.9974 0.9989 0.0000 4.311 1.694 15 6 14 5 0.9953 0.9989 0.0000 8.279 2.601 15 6 17 5 +40 0 0.9974 0.9989 0.0000 4.301 1.687 15 6 14 4 0.9953 0.9989 0.0000 8.182 2.579 15 6 17 5 +41 0 0.9976 0.9989 0.0000 4.388 1.714 15 6 14 7 0.9954 0.9989 0.0000 8.091 2.558 15 6 17 5 +42 0 0.9976 0.9989 0.0000 4.469 1.744 15 6 16 6 0.9954 0.9989 0.0000 8.007 2.539 15 6 17 5 +43 0 0.9978 0.9989 0.0000 4.566 1.781 15 6 12 4 0.9955 0.9989 0.0000 7.929 2.522 15 6 17 5 +44 0 0.9976 0.9989 0.0000 4.520 1.762 15 6 12 4 0.9955 0.9989 0.0000 7.853 2.505 15 6 17 5 +45 0 0.9980 0.9989 0.9976 4.513 1.766 15 6 10 5 0.9956 0.9989 0.0000 7.780 2.489 15 6 17 5 +46 0 0.9978 0.9989 0.0000 4.495 1.753 15 6 17 6 0.9956 0.9989 0.0000 7.711 2.473 15 6 17 5 +47 0 0.9978 0.9989 0.0000 4.477 1.757 15 6 8 4 0.9957 0.9989 0.0000 7.643 2.458 15 6 17 5 +48 0 0.9970 0.9989 0.0000 4.368 1.730 15 6 5 2 0.9957 0.9989 0.0000 7.576 2.444 15 6 17 5 +49 0 0.9974 0.9989 0.0000 4.411 1.737 15 6 11 4 0.9957 0.9989 0.0000 7.513 2.429 15 6 17 5 +50 0 0.9974 0.9989 0.0000 4.402 1.723 15 6 8 4 0.9958 0.9989 0.0000 7.452 2.416 15 6 17 5 +51 0 0.9978 0.9989 0.0000 4.351 1.717 15 6 11 4 0.9958 0.9989 0.0000 7.392 2.402 15 6 17 5 diff --git a/PartB/90Cross90Mut2El/run_7/regress.sys b/PartB/90Cross90Mut2El/run_7/regress.sys new file mode 100644 index 0000000..3cc1440 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_7/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 120. +creating initial population(s): + 7225 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (1s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (1s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 62023752 + freed: 61975752 + not freed: 48000 + max allocated: 2534462 + malloc'ed blocks: 925429 + realloc'ed blocks: 8 + free'ed blocks: 925423 + +------- time ------- + overall: 30s wall + evaluation: 27s wall + breeding: 2s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 24087 + freed: 24087 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_8/regress.bst b/PartB/90Cross90Mut2El/run_8/regress.bst new file mode 100644 index 0000000..e5f04ab --- /dev/null +++ b/PartB/90Cross90Mut2El/run_8/regress.bst @@ -0,0 +1,24 @@ +=== BEST-OF-RUN === + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +TREE-equ: +y = ((((-0.00391 * convex) * eccentricity) / (exp(((-0.39389 + area) * (perimeter / area))) * convex)) * (exp(log((eccentricity - extent))) / (exp((major + minor)) + log((convex - exp(major)))))) diff --git a/PartB/90Cross90Mut2El/run_8/regress.fn b/PartB/90Cross90Mut2El/run_8/regress.fn new file mode 100644 index 0000000..31b4e85 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_8/regress.fn @@ -0,0 +1,18 @@ +Hits: 2567, Total Size: 2810, Percent Hit: 91.352313 +CC: 994 +CO: 130 +OO: 1573 +OC: 113 +Fitness: 0.998915 +Hits: 921 + + +y = ((((-0.00391 * convex) * eccentricity) / (exp(((-0.39389 + area) * (perimeter / area))) * convex)) * (exp(log((eccentricity - extent))) / (exp((major + minor)) + log((convex - exp(major)))))) + + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) diff --git a/PartB/90Cross90Mut2El/run_8/regress.gen b/PartB/90Cross90Mut2El/run_8/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_8/regress.his b/PartB/90Cross90Mut2El/run_8/regress.his new file mode 100644 index 0000000..f617d0c --- /dev/null +++ b/PartB/90Cross90Mut2El/run_8/regress.his @@ -0,0 +1,1295 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 45 + depth: 5 + hits: 810 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 810 + raw fitness: 810.0000 + standardized fitness: 810.0000 + adjusted fitness: 0.9988 +TREE: + (* (* (/ (+ (- -0.89725 extent) + (* 0.13139 area)) + (- (+ major perimeter) + (exp extent))) + (exp (- (* 0.94571 area) + (+ area -0.03849)))) + (+ (+ (+ (- eccentricity convex) + (/ convex minor)) + (exp (/ convex convex))) + (exp (/ (- area major) + (* area eccentricity))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 45 + depth: 5 + hits: 810 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 810 + raw fitness: 810.0000 + standardized fitness: 810.0000 + adjusted fitness: 0.9988 +TREE: + (* (* (/ (+ (- -0.89725 extent) + (* 0.13139 area)) + (- (+ major perimeter) + (exp extent))) + (exp (- (* 0.94571 area) + (+ area -0.03849)))) + (+ (+ (+ (- eccentricity convex) + (/ convex minor)) + (exp (/ convex convex))) + (exp (/ (- area major) + (* area eccentricity))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 0 + nodes: 45 + depth: 5 + hits: 810 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 810 + raw fitness: 810.0000 + standardized fitness: 810.0000 + adjusted fitness: 0.9988 +TREE: + (* (* (/ (+ (- -0.89725 extent) + (* 0.13139 area)) + (- (+ major perimeter) + (exp extent))) + (exp (- (* 0.94571 area) + (+ area -0.03849)))) + (+ (+ (+ (- eccentricity convex) + (/ convex minor)) + (exp (/ convex convex))) + (exp (/ (- area major) + (* area eccentricity))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 0 + nodes: 45 + depth: 5 + hits: 810 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 810 + raw fitness: 810.0000 + standardized fitness: 810.0000 + adjusted fitness: 0.9988 +TREE: + (* (* (/ (+ (- -0.89725 extent) + (* 0.13139 area)) + (- (+ major perimeter) + (exp extent))) + (exp (- (* 0.94571 area) + (+ area -0.03849)))) + (+ (+ (+ (- eccentricity convex) + (/ convex minor)) + (exp (/ convex convex))) + (exp (/ (- area major) + (* area eccentricity))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 0 + nodes: 45 + depth: 5 + hits: 810 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 810 + raw fitness: 810.0000 + standardized fitness: 810.0000 + adjusted fitness: 0.9988 +TREE: + (* (* (/ (+ (- -0.89725 extent) + (* 0.13139 area)) + (- (+ major perimeter) + (exp extent))) + (exp (- (* 0.94571 area) + (+ area -0.03849)))) + (+ (+ (+ (- eccentricity convex) + (/ convex minor)) + (exp (/ convex convex))) + (exp (/ (- area major) + (* area eccentricity))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 5 + nodes: 63 + depth: 9 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) + (log (* (* (+ minor -0.45717) eccentricity) + (exp 0.12978))))) + (/ (exp (log (log (+ (* convex perimeter) + (/ (* eccentricity + (* extent perimeter)) + (exp (+ eccentricity convex))))))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 5 + nodes: 63 + depth: 9 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) + (log (* (* (+ minor -0.45717) eccentricity) + (exp 0.12978))))) + (/ (exp (log (log (+ (* convex perimeter) + (/ (* eccentricity + (* extent perimeter)) + (exp (+ eccentricity convex))))))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 5 + nodes: 63 + depth: 9 + hits: 893 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 893 + raw fitness: 893.0000 + standardized fitness: 893.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) + (log (* (* (+ minor -0.45717) eccentricity) + (exp 0.12978))))) + (/ (exp (log (log (+ (* convex perimeter) + (/ (* eccentricity + (* extent perimeter)) + (exp (+ eccentricity convex))))))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 8 + nodes: 55 + depth: 9 + hits: 911 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 911 + raw fitness: 911.0000 + standardized fitness: 911.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (log (+ (* convex perimeter) + (/ (* eccentricity + (* extent perimeter)) + (exp (+ eccentricity convex))))))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 8 + nodes: 55 + depth: 9 + hits: 911 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 911 + raw fitness: 911.0000 + standardized fitness: 911.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (log (+ (* convex perimeter) + (/ (* eccentricity + (* extent perimeter)) + (exp (+ eccentricity convex))))))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 24 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 25 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 26 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 27 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 28 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 29 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 30 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 31 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 32 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 33 + generation: 10 + nodes: 43 + depth: 6 + hits: 918 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 918 + raw fitness: 918.0000 + standardized fitness: 918.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (+ (exp (/ (exp eccentricity) + (- minor convex))) + (log (exp (- area convex)))) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- (/ convex perimeter) + (exp major)))))) +=== BEST-OF-RUN === + current generation: 34 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 35 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 36 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 37 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 38 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 39 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 40 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 41 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 42 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 43 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 44 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 45 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 46 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 47 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 48 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 49 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 50 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) +=== BEST-OF-RUN === + current generation: 51 + generation: 34 + nodes: 33 + depth: 6 + hits: 921 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 921 + raw fitness: 921.0000 + standardized fitness: 921.0000 + adjusted fitness: 0.9989 +TREE: + (* (/ (* (* -0.00391 convex) eccentricity) + (* (exp (* (+ -0.39389 area) + (/ perimeter area))) convex)) + (/ (exp (log (- eccentricity extent))) + (+ (exp (+ major minor)) + (log (- convex + (exp major)))))) diff --git a/PartB/90Cross90Mut2El/run_8/regress.prg b/PartB/90Cross90Mut2El/run_8/regress.prg new file mode 100644 index 0000000..fa7a6ce --- /dev/null +++ b/PartB/90Cross90Mut2El/run_8/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 11599.00000, perimeter = 431.05600, major_axis_length = 171.99739, minor_axis_length = 86.98845, eccentricity = 0.86268, convex_area = 11913.00000, extent = 0.77966, type = O + area = 14295.00000, perimeter = 484.22699, major_axis_length = 202.77057, minor_axis_length = 91.39712, eccentricity = 0.89265, convex_area = 14528.00000, extent = 0.55182, type = C + area = 17180.00000, perimeter = 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FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9615 0.9988 0.0000 18.418 3.500 45 5 82 6 0.9615 0.9988 0.0000 18.418 3.500 45 5 82 6 +1 0 0.9882 0.9988 0.0000 16.652 3.602 45 5 50 7 0.9749 0.9988 0.0000 17.535 3.551 45 5 82 6 +2 0 0.9914 0.9988 0.0000 16.094 3.660 45 5 66 9 0.9804 0.9988 0.0000 17.054 3.587 45 5 82 6 +3 0 0.9910 0.9988 0.0000 15.610 3.710 45 5 35 5 0.9830 0.9988 0.0000 16.693 3.618 45 5 82 6 +4 0 0.9922 0.9988 0.0000 14.804 3.696 45 5 33 8 0.9849 0.9988 0.0000 16.315 3.633 45 5 82 6 +5 0 0.9938 0.9989 0.0000 14.258 3.671 63 9 62 9 0.9864 0.9989 0.0000 15.973 3.640 63 9 82 6 +6 0 0.9926 0.9989 0.0000 13.787 3.636 63 9 34 7 0.9873 0.9989 0.0000 15.660 3.639 63 9 82 6 +7 0 0.9940 0.9989 0.0000 13.089 3.520 63 9 34 10 0.9881 0.9989 0.0000 15.339 3.624 63 9 82 6 +8 0 0.9948 0.9989 0.0000 12.400 3.425 55 9 86 8 0.9889 0.9989 0.0000 15.012 3.602 55 9 82 6 +9 0 0.9952 0.9989 0.0000 11.856 3.365 55 9 83 13 0.9895 0.9989 0.0000 14.697 3.578 55 9 82 6 +10 0 0.9962 0.9989 0.0000 11.563 3.333 43 6 28 7 0.9901 0.9989 0.0000 14.412 3.556 43 6 82 6 +11 0 0.9948 0.9989 0.0000 11.484 3.399 43 6 45 9 0.9905 0.9989 0.0000 14.168 3.543 43 6 82 6 +12 0 0.9958 0.9989 0.0000 10.969 3.338 43 6 11 6 0.9909 0.9989 0.0000 13.922 3.527 43 6 82 6 +13 0 0.9948 0.9989 0.0000 10.406 3.259 43 6 16 7 0.9912 0.9989 0.0000 13.671 3.508 43 6 82 6 +14 0 0.9960 0.9989 0.0000 9.949 3.193 43 6 21 7 0.9915 0.9989 0.0000 13.423 3.487 43 6 82 6 +15 0 0.9954 0.9989 0.0000 9.347 3.043 43 6 55 8 0.9918 0.9989 0.0000 13.168 3.459 43 6 82 6 +16 0 0.9958 0.9989 0.0000 9.196 2.999 43 6 8 4 0.9920 0.9989 0.0000 12.934 3.432 43 6 82 6 +17 0 0.9958 0.9989 0.0000 8.704 2.882 43 6 26 6 0.9922 0.9989 0.0000 12.699 3.402 43 6 82 6 +18 0 0.9962 0.9989 0.0000 8.215 2.772 43 6 17 6 0.9924 0.9989 0.0000 12.463 3.369 43 6 82 6 +19 0 0.9966 0.9989 0.0000 7.870 2.677 43 6 9 4 0.9926 0.9989 0.0000 12.234 3.334 43 6 82 6 +20 0 0.9970 0.9989 0.0000 7.618 2.634 43 6 54 13 0.9928 0.9989 0.0000 12.014 3.301 43 6 82 6 +21 0 0.9966 0.9989 0.0000 7.646 2.666 43 6 39 8 0.9930 0.9989 0.0000 11.815 3.272 43 6 82 6 +22 0 0.9972 0.9989 0.0000 7.335 2.610 43 6 23 5 0.9932 0.9989 0.0000 11.620 3.243 43 6 82 6 +23 0 0.9970 0.9989 0.0000 7.158 2.549 43 6 36 9 0.9934 0.9989 0.0000 11.434 3.214 43 6 82 6 +24 0 0.9972 0.9989 0.0000 7.124 2.536 43 6 36 8 0.9935 0.9989 0.0000 11.262 3.187 43 6 82 6 +25 0 0.9970 0.9989 0.0000 6.815 2.443 43 6 7 3 0.9936 0.9989 0.0000 11.091 3.158 43 6 82 6 +26 0 0.9966 0.9989 0.0000 6.680 2.396 43 6 24 10 0.9938 0.9989 0.0000 10.928 3.130 43 6 82 6 +27 0 0.9968 0.9989 0.0000 6.519 2.337 43 6 7 3 0.9939 0.9989 0.0000 10.770 3.102 43 6 82 6 +28 0 0.9968 0.9989 0.0000 6.273 2.266 43 6 21 8 0.9940 0.9989 0.0000 10.615 3.073 43 6 82 6 +29 0 0.9972 0.9989 0.0000 6.006 2.215 43 6 19 8 0.9941 0.9989 0.0000 10.461 3.044 43 6 82 6 +30 0 0.9970 0.9989 0.0000 5.643 2.124 43 6 22 6 0.9942 0.9989 0.0000 10.306 3.015 43 6 82 6 +31 0 0.9970 0.9989 0.0000 5.471 2.055 43 6 41 6 0.9943 0.9989 0.0000 10.155 2.985 43 6 82 6 +32 0 0.9974 0.9989 0.0000 5.400 2.027 43 6 32 9 0.9944 0.9989 0.0000 10.011 2.956 43 6 82 6 +33 0 0.9970 0.9989 0.0000 5.359 2.023 43 6 19 5 0.9944 0.9989 0.0000 9.874 2.928 43 6 82 6 +34 0 0.9974 0.9989 0.0000 5.372 2.048 33 6 31 7 0.9945 0.9989 0.0000 9.745 2.903 33 6 82 6 +35 0 0.9970 0.9989 0.0000 5.238 1.981 33 6 15 5 0.9946 0.9989 0.0000 9.620 2.878 33 6 82 6 +36 0 0.9976 0.9989 0.0000 4.990 1.888 33 6 8 3 0.9947 0.9989 0.0000 9.495 2.851 33 6 82 6 +37 0 0.9978 0.9989 0.0000 5.004 1.897 33 6 14 6 0.9948 0.9989 0.0000 9.377 2.826 33 6 82 6 +38 0 0.9974 0.9989 0.0000 4.888 1.878 33 6 8 3 0.9948 0.9989 0.0000 9.262 2.801 33 6 82 6 +39 0 0.9974 0.9989 0.0000 4.951 1.908 33 6 7 3 0.9949 0.9989 0.0000 9.154 2.779 33 6 82 6 +40 0 0.9976 0.9989 0.0000 5.058 1.954 33 6 11 4 0.9950 0.9989 0.0000 9.054 2.759 33 6 82 6 +41 0 0.9974 0.9989 0.0000 4.995 1.943 33 6 9 3 0.9950 0.9989 0.0000 8.957 2.739 33 6 82 6 +42 0 0.9976 0.9989 0.0000 5.007 1.947 33 6 11 4 0.9951 0.9989 0.0000 8.866 2.721 33 6 82 6 +43 0 0.9972 0.9989 0.0000 4.937 1.920 33 6 11 4 0.9951 0.9989 0.0000 8.776 2.703 33 6 82 6 +44 0 0.9978 0.9989 0.0000 4.792 1.859 33 6 24 6 0.9952 0.9989 0.0000 8.688 2.684 33 6 82 6 +45 0 0.9978 0.9989 0.0000 4.831 1.879 33 6 17 6 0.9952 0.9989 0.0000 8.604 2.667 33 6 82 6 +46 0 0.9978 0.9989 0.0000 4.787 1.850 33 6 8 4 0.9953 0.9989 0.0000 8.523 2.649 33 6 82 6 +47 0 0.9976 0.9989 0.0000 4.720 1.829 33 6 18 7 0.9953 0.9989 0.0000 8.443 2.632 33 6 82 6 +48 0 0.9980 0.9989 0.9975 4.607 1.773 33 6 9 4 0.9954 0.9989 0.0000 8.365 2.615 33 6 82 6 +49 0 0.9980 0.9989 0.9962 4.659 1.790 33 6 8 4 0.9954 0.9989 0.0000 8.291 2.598 33 6 82 6 +50 0 0.9974 0.9989 0.0000 4.665 1.790 33 6 8 3 0.9955 0.9989 0.0000 8.220 2.582 33 6 82 6 +51 0 0.9978 0.9989 0.0000 4.539 1.752 33 6 9 3 0.9955 0.9989 0.0000 8.149 2.566 33 6 82 6 diff --git a/PartB/90Cross90Mut2El/run_8/regress.sys b/PartB/90Cross90Mut2El/run_8/regress.sys new file mode 100644 index 0000000..cfdc80e --- /dev/null +++ b/PartB/90Cross90Mut2El/run_8/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 435. +creating initial population(s): + 7394 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (1s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 6. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 9. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (0s wall) + breeding complete. (1s wall) +=== generation 15. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. (0s wall) + +SYSTEM STATISTICS + +------- memory ------- + allocated: 65508324 + freed: 65460324 + not freed: 48000 + max allocated: 2548262 + malloc'ed blocks: 926987 + realloc'ed blocks: 8 + free'ed blocks: 926981 + +------- time ------- + overall: 31s wall + evaluation: 28s wall + breeding: 3s wall + +------- generation spaces ------- + space 0 size: 200 + space 1 size: 100 + +------- ephemeral random constants ------- + used: 23898 + freed: 23898 + allocated: 6000 + blocks: 11 diff --git a/PartB/90Cross90Mut2El/run_9/regress.bst b/PartB/90Cross90Mut2El/run_9/regress.bst new file mode 100644 index 0000000..4eff26a --- /dev/null +++ b/PartB/90Cross90Mut2El/run_9/regress.bst @@ -0,0 +1,24 @@ +=== BEST-OF-RUN === + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +TREE-equ: +y = (area / (((perimeter / exp((log(eccentricity) * minor))) / ((0.25061 / exp(((major - 0.42418) / (-0.24796 / -0.89867)))) / log(log(eccentricity)))) + convex)) diff --git a/PartB/90Cross90Mut2El/run_9/regress.fn b/PartB/90Cross90Mut2El/run_9/regress.fn new file mode 100644 index 0000000..66ddc9f --- /dev/null +++ b/PartB/90Cross90Mut2El/run_9/regress.fn @@ -0,0 +1,18 @@ +Hits: 2609, Total Size: 2810, Percent Hit: 92.846975 +CC: 1039 +CO: 89 +OO: 1570 +OC: 112 +Fitness: 0.998922 +Hits: 927 + + +y = (area / (((perimeter / exp((log(eccentricity) * minor))) / ((0.25061 / exp(((major - 0.42418) / (-0.24796 / -0.89867)))) / log(log(eccentricity)))) + convex)) + + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) diff --git a/PartB/90Cross90Mut2El/run_9/regress.gen b/PartB/90Cross90Mut2El/run_9/regress.gen new file mode 100644 index 0000000..e69de29 diff --git a/PartB/90Cross90Mut2El/run_9/regress.his b/PartB/90Cross90Mut2El/run_9/regress.his new file mode 100644 index 0000000..85be3f6 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_9/regress.his @@ -0,0 +1,1383 @@ +=== BEST-OF-RUN === + current generation: 0 + generation: 0 + nodes: 30 + depth: 5 + hits: 787 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 787 + raw fitness: 787.0000 + standardized fitness: 787.0000 + adjusted fitness: 0.9987 +TREE: + (* (+ (log (log (- -0.72685 area))) + (* (log (- convex minor)) + (* (/ perimeter perimeter) + (exp area)))) + (log (+ (exp (/ area area)) + (/ (/ major minor) + (log -0.55166))))) +=== BEST-OF-RUN === + current generation: 1 + generation: 0 + nodes: 30 + depth: 5 + hits: 787 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 787 + raw fitness: 787.0000 + standardized fitness: 787.0000 + adjusted fitness: 0.9987 +TREE: + (* (+ (log (log (- -0.72685 area))) + (* (log (- convex minor)) + (* (/ perimeter perimeter) + (exp area)))) + (log (+ (exp (/ area area)) + (/ (/ major minor) + (log -0.55166))))) +=== BEST-OF-RUN === + current generation: 2 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 3 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 4 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 5 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 6 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 7 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 8 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 9 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 10 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 11 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 12 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 13 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 14 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 15 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 16 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 17 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 18 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 19 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 20 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 21 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 22 + generation: 2 + nodes: 59 + depth: 6 + hits: 901 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 901 + raw fitness: 901.0000 + standardized fitness: 901.0000 + adjusted fitness: 0.9989 +TREE: + (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ (- (* (+ area extent) + (- 0.16460 eccentricity)) + (/ (+ convex convex) + (exp eccentricity))) + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log (exp (/ major minor)))))) +=== BEST-OF-RUN === + current generation: 23 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 24 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 25 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 26 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 27 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 28 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 29 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 30 + generation: 23 + nodes: 47 + depth: 8 + hits: 904 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 904 + raw fitness: 904.0000 + standardized fitness: 904.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ (exp (+ (- convex perimeter) + (* major -0.10931))) + (+ (log (exp convex)) + (exp (exp eccentricity)))) + (exp (* (/ (exp perimeter) + (exp minor)) + (log (/ minor major))))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 31 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 32 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 33 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 34 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 35 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 36 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 37 + generation: 31 + nodes: 28 + depth: 8 + hits: 926 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 926 + raw fitness: 926.0000 + standardized fitness: 926.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ (+ convex major) + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 38 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 39 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 40 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 41 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 42 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 43 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 44 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 45 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 46 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 47 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 48 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 49 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 50 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) +=== BEST-OF-RUN === + current generation: 51 + generation: 38 + nodes: 26 + depth: 8 + hits: 927 +TOP INDIVIDUAL: + + + +-- #1 -- + hits: 927 + raw fitness: 927.0000 + standardized fitness: 927.0000 + adjusted fitness: 0.9989 +TREE: + (/ area + (+ (/ (/ perimeter + (exp (* (log eccentricity) minor))) + (/ (/ 0.25061 + (exp (/ (- major 0.42418) + (/ -0.24796 -0.89867)))) + (log (log eccentricity)))) convex)) diff --git a/PartB/90Cross90Mut2El/run_9/regress.prg b/PartB/90Cross90Mut2El/run_9/regress.prg new file mode 100644 index 0000000..1802b92 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_9/regress.prg @@ -0,0 +1,1002 @@ +not starting from checkpoint file. +1000 fitness cases: + area = 10775.00000, perimeter = 414.99799, major_axis_length = 165.72896, minor_axis_length = 84.27123, eccentricity = 0.86107, convex_area = 11036.00000, extent = 0.63446, type = O + area = 14390.00000, perimeter = 497.91901, major_axis_length = 216.37560, minor_axis_length = 85.19570, eccentricity = 0.91922, convex_area = 14586.00000, extent = 0.53790, type = C + area = 11285.00000, perimeter = 425.75500, major_axis_length = 175.42439, minor_axis_length = 82.95139, eccentricity = 0.88114, convex_area = 11525.00000, extent = 0.75028, type = O + area = 16602.00000, perimeter = 528.35303, major_axis_length = 224.41542, minor_axis_length = 95.47276, eccentricity = 0.90499, convex_area = 16900.00000, extent = 0.56548, type = C + area = 15681.00000, perimeter = 507.69699, major_axis_length = 207.02451, minor_axis_length = 97.75848, eccentricity = 0.88149, convex_area = 16088.00000, extent = 0.69250, type = C + area = 14850.00000, perimeter = 509.27499, major_axis_length = 215.96320, minor_axis_length = 89.12655, eccentricity = 0.91087, convex_area = 15372.00000, extent = 0.79942, type = C + area = 12894.00000, perimeter = 480.08499, major_axis_length = 192.82175, minor_axis_length = 85.92984, eccentricity = 0.89521, convex_area = 13141.00000, extent = 0.62263, type = O + area = 14378.00000, perimeter = 491.48001, major_axis_length = 202.71188, minor_axis_length = 91.38580, eccentricity = 0.89262, convex_area = 14805.00000, extent = 0.64022, type = C + area = 12531.00000, perimeter = 459.30600, major_axis_length = 192.81819, minor_axis_length = 84.02543, eccentricity = 0.90006, convex_area = 12846.00000, extent = 0.56173, type = O + area = 12193.00000, perimeter = 433.95700, major_axis_length = 170.47278, minor_axis_length = 92.65318, eccentricity = 0.83940, convex_area = 12558.00000, extent = 0.62467, type = O + area = 10731.00000, perimeter = 414.17499, major_axis_length = 170.21010, minor_axis_length = 81.19894, eccentricity = 0.87888, convex_area = 10922.00000, extent = 0.59320, type = O + area = 12575.00000, perimeter = 456.75299, major_axis_length = 188.67986, minor_axis_length = 85.98197, eccentricity = 0.89013, convex_area = 12936.00000, extent = 0.73927, type = C + area = 12422.00000, perimeter = 482.19800, major_axis_length = 209.21362, minor_axis_length = 76.83704, eccentricity = 0.93012, convex_area = 12783.00000, extent = 0.49808, type = C + area = 15301.00000, perimeter = 515.52698, major_axis_length = 220.29213, minor_axis_length = 89.46645, eccentricity = 0.91382, convex_area = 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major_axis_length = 174.43573, minor_axis_length = 90.32648, eccentricity = 0.85549, convex_area = 12491.00000, extent = 0.61848, type = O + area = 14251.00000, perimeter = 492.03201, major_axis_length = 202.84761, minor_axis_length = 91.00605, eccentricity = 0.89371, convex_area = 14658.00000, extent = 0.56038, type = C + area = 14306.00000, perimeter = 482.24799, major_axis_length = 197.68579, minor_axis_length = 94.05611, eccentricity = 0.87956, convex_area = 14667.00000, extent = 0.58795, type = C + area = 13933.00000, perimeter = 471.71399, major_axis_length = 193.51672, minor_axis_length = 91.87624, eccentricity = 0.88011, convex_area = 14177.00000, extent = 0.74464, type = C + area = 10481.00000, perimeter = 413.72198, major_axis_length = 174.16463, minor_axis_length = 77.66029, eccentricity = 0.89508, convex_area = 10648.00000, extent = 0.80648, type = O + area = 11530.00000, perimeter = 425.39200, major_axis_length = 177.01521, minor_axis_length = 83.92692, eccentricity = 0.88046, convex_area = 11686.00000, extent = 0.80810, type = O + area = 13699.00000, perimeter = 480.72900, major_axis_length = 197.97092, minor_axis_length = 89.94907, eccentricity = 0.89082, convex_area = 14178.00000, extent = 0.67205, type = C + area = 14646.00000, perimeter = 511.45200, major_axis_length = 220.48257, minor_axis_length = 85.63171, eccentricity = 0.92150, convex_area = 14999.00000, extent = 0.63667, type = C + area = 16480.00000, perimeter = 525.15399, major_axis_length = 220.30812, minor_axis_length = 96.47744, eccentricity = 0.89901, convex_area = 16842.00000, extent = 0.57626, type = C + area = 14470.00000, perimeter = 486.26001, major_axis_length = 208.33366, minor_axis_length = 89.34396, eccentricity = 0.90338, convex_area = 14657.00000, extent = 0.57654, type = C + area = 12206.00000, perimeter = 441.28500, major_axis_length = 186.76031, minor_axis_length = 83.65755, eccentricity = 0.89406, convex_area = 12404.00000, extent = 0.59052, type = O + area = 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minor_axis_length = 93.97776, eccentricity = 0.89880, convex_area = 15913.00000, extent = 0.56628, type = C + area = 11923.00000, perimeter = 432.33401, major_axis_length = 174.23662, minor_axis_length = 88.13160, eccentricity = 0.86264, convex_area = 12187.00000, extent = 0.62450, type = O + area = 11942.00000, perimeter = 424.78101, major_axis_length = 168.71675, minor_axis_length = 91.57380, eccentricity = 0.83988, convex_area = 12188.00000, extent = 0.78981, type = O + area = 11380.00000, perimeter = 423.61499, major_axis_length = 172.17389, minor_axis_length = 85.65730, eccentricity = 0.86746, convex_area = 11620.00000, extent = 0.67317, type = O + area = 12742.00000, perimeter = 446.81100, major_axis_length = 180.02014, minor_axis_length = 91.04812, eccentricity = 0.86267, convex_area = 12954.00000, extent = 0.79108, type = O + area = 13154.00000, perimeter = 451.56201, major_axis_length = 179.95360, minor_axis_length = 94.31381, eccentricity = 0.85166, convex_area = 13428.00000, extent = 0.65022, type = O + area = 12295.00000, perimeter = 439.82401, major_axis_length = 176.58267, minor_axis_length = 89.81164, eccentricity = 0.86100, convex_area = 12566.00000, extent = 0.67348, type = O + area = 14461.00000, perimeter = 483.56601, major_axis_length = 202.35306, minor_axis_length = 91.65204, eccentricity = 0.89155, convex_area = 14718.00000, extent = 0.74541, type = C + area = 11150.00000, perimeter = 416.89899, major_axis_length = 168.02025, minor_axis_length = 85.60217, eccentricity = 0.86049, convex_area = 11420.00000, extent = 0.72572, type = O + area = 17246.00000, perimeter = 540.54199, major_axis_length = 225.98886, minor_axis_length = 98.57315, eccentricity = 0.89986, convex_area = 17704.00000, extent = 0.57393, type = C + area = 15550.00000, perimeter = 505.76300, major_axis_length = 211.37883, minor_axis_length = 94.41613, eccentricity = 0.89470, convex_area = 15896.00000, extent = 0.71884, type = C + area = 12780.00000, perimeter = 448.66101, 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0.89645, convex_area = 15191.00000, extent = 0.59061, type = C + area = 12161.00000, perimeter = 445.04800, major_axis_length = 182.33475, minor_axis_length = 86.27271, eccentricity = 0.88098, convex_area = 12428.00000, extent = 0.60281, type = C + area = 13693.00000, perimeter = 479.47900, major_axis_length = 200.39729, minor_axis_length = 88.17446, eccentricity = 0.89800, convex_area = 14097.00000, extent = 0.69525, type = C + area = 12190.00000, perimeter = 440.68201, major_axis_length = 185.85619, minor_axis_length = 83.88790, eccentricity = 0.89234, convex_area = 12349.00000, extent = 0.58398, type = O + area = 13103.00000, perimeter = 456.78601, major_axis_length = 184.17467, minor_axis_length = 91.96735, eccentricity = 0.86640, convex_area = 13401.00000, extent = 0.76163, type = O + area = 10941.00000, perimeter = 423.40799, major_axis_length = 172.85109, minor_axis_length = 81.42479, eccentricity = 0.88210, convex_area = 11248.00000, extent = 0.62952, type = O + area = 14352.00000, perimeter = 484.08401, major_axis_length = 203.49686, minor_axis_length = 91.26853, eccentricity = 0.89378, convex_area = 14656.00000, extent = 0.56806, type = C + area = 10264.00000, perimeter = 410.13901, major_axis_length = 169.60396, minor_axis_length = 78.00386, eccentricity = 0.88796, convex_area = 10572.00000, extent = 0.59577, type = O + area = 10842.00000, perimeter = 434.27301, major_axis_length = 179.43488, minor_axis_length = 79.00735, eccentricity = 0.89784, convex_area = 11251.00000, extent = 0.54578, type = O + area = 11295.00000, perimeter = 417.33701, major_axis_length = 174.01994, minor_axis_length = 83.14223, eccentricity = 0.87848, convex_area = 11476.00000, extent = 0.76858, type = O + area = 15809.00000, perimeter = 517.23297, major_axis_length = 222.42067, minor_axis_length = 91.56286, eccentricity = 0.91134, convex_area = 16025.00000, extent = 0.55689, type = C + area = 12466.00000, perimeter = 439.18301, major_axis_length = 177.41931, minor_axis_length = 90.01721, eccentricity = 0.86173, convex_area = 12707.00000, extent = 0.60988, type = O + area = 14516.00000, perimeter = 492.78601, major_axis_length = 209.76013, minor_axis_length = 89.51320, eccentricity = 0.90437, convex_area = 14836.00000, extent = 0.73358, type = C + area = 11322.00000, perimeter = 415.88599, major_axis_length = 169.72362, minor_axis_length = 85.80435, eccentricity = 0.86280, convex_area = 11512.00000, extent = 0.61426, type = O + area = 11772.00000, perimeter = 434.08600, major_axis_length = 183.58832, minor_axis_length = 82.08577, eccentricity = 0.89447, convex_area = 11937.00000, extent = 0.65100, type = O + area = 11746.00000, perimeter = 450.82901, major_axis_length = 194.19092, minor_axis_length = 77.74390, eccentricity = 0.91636, convex_area = 11953.00000, extent = 0.55521, type = C + area = 8546.00000, perimeter = 388.58099, major_axis_length = 172.51996, minor_axis_length = 63.34475, eccentricity = 0.93015, convex_area = 8685.00000, extent = 0.73546, type = O + area = 11454.00000, perimeter = 424.95401, major_axis_length = 175.07666, minor_axis_length = 84.24493, eccentricity = 0.87662, convex_area = 11646.00000, extent = 0.73310, type = O + area = 11735.00000, perimeter = 453.51801, major_axis_length = 194.10484, minor_axis_length = 78.01987, eccentricity = 0.91566, convex_area = 11956.00000, extent = 0.71533, type = C + area = 15269.00000, perimeter = 496.68900, major_axis_length = 210.45181, minor_axis_length = 92.70920, eccentricity = 0.89774, convex_area = 15474.00000, extent = 0.80669, type = C + area = 13645.00000, perimeter = 484.32501, major_axis_length = 205.53897, minor_axis_length = 85.92193, eccentricity = 0.90843, convex_area = 13972.00000, extent = 0.54713, type = C + area = 11549.00000, perimeter = 432.62299, major_axis_length = 170.75679, minor_axis_length = 88.04955, eccentricity = 0.85680, convex_area = 11910.00000, extent = 0.62225, type = O + area = 11797.00000, perimeter = 451.95999, 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0.91381, convex_area = 15860.00000, extent = 0.54178, type = C + area = 14031.00000, perimeter = 494.26501, major_axis_length = 213.70952, minor_axis_length = 84.46609, eccentricity = 0.91858, convex_area = 14265.00000, extent = 0.73886, type = C + area = 15398.00000, perimeter = 518.74500, major_axis_length = 215.32907, minor_axis_length = 93.06289, eccentricity = 0.90178, convex_area = 15753.00000, extent = 0.79815, type = C + area = 11454.00000, perimeter = 419.31299, major_axis_length = 174.17632, minor_axis_length = 84.37674, eccentricity = 0.87483, convex_area = 11604.00000, extent = 0.82214, type = O diff --git a/PartB/90Cross90Mut2El/run_9/regress.stt b/PartB/90Cross90Mut2El/run_9/regress.stt new file mode 100644 index 0000000..908ab44 --- /dev/null +++ b/PartB/90Cross90Mut2El/run_9/regress.stt @@ -0,0 +1,53 @@ +GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN +0 0 0.9563 0.9987 0.0000 18.596 3.492 30 5 20 4 0.9563 0.9987 0.0000 18.596 3.492 30 5 20 4 +1 0 0.9908 0.9987 0.0000 16.812 3.566 30 5 16 5 0.9736 0.9987 0.0000 17.704 3.529 30 5 20 4 +2 0 0.9916 0.9989 0.0000 16.142 3.627 59 6 34 8 0.9796 0.9989 0.0000 17.183 3.562 59 6 20 4 +3 0 0.9924 0.9989 0.0000 15.516 3.675 59 6 38 8 0.9828 0.9989 0.0000 16.767 3.590 59 6 20 4 +4 0 0.9934 0.9989 0.0000 15.006 3.702 59 6 25 5 0.9849 0.9989 0.0000 16.414 3.612 59 6 20 4 +5 0 0.9940 0.9989 0.0000 14.723 3.723 59 6 39 5 0.9864 0.9989 0.0000 16.133 3.631 59 6 20 4 +6 0 0.9952 0.9989 0.0000 13.902 3.663 59 6 35 8 0.9877 0.9989 0.0000 15.814 3.635 59 6 20 4 +7 0 0.9948 0.9989 0.0000 13.523 3.607 59 6 65 12 0.9886 0.9989 0.0000 15.527 3.632 59 6 20 4 +8 0 0.9948 0.9989 0.0000 12.884 3.543 59 6 50 16 0.9893 0.9989 0.0000 15.234 3.622 59 6 20 4 +9 0 0.9950 0.9989 0.0000 12.405 3.543 59 6 48 10 0.9898 0.9989 0.0000 14.951 3.614 59 6 20 4 +10 0 0.9942 0.9989 0.0000 11.589 3.428 59 6 17 5 0.9902 0.9989 0.0000 14.645 3.597 59 6 20 4 +11 0 0.9938 0.9989 0.0000 11.094 3.382 59 6 17 4 0.9905 0.9989 0.0000 14.349 3.579 59 6 20 4 +12 0 0.9956 0.9989 0.0000 10.695 3.315 59 6 9 3 0.9909 0.9989 0.0000 14.068 3.559 59 6 20 4 +13 0 0.9963 0.9989 0.0000 9.932 3.168 59 6 86 8 0.9913 0.9989 0.0000 13.773 3.531 59 6 20 4 +14 0 0.9962 0.9989 0.0000 9.651 3.143 59 6 26 7 0.9916 0.9989 0.0000 13.498 3.505 59 6 20 4 +15 0 0.9968 0.9989 0.0000 9.238 3.075 59 6 20 6 0.9920 0.9989 0.0000 13.232 3.478 59 6 20 4 +16 0 0.9966 0.9989 0.0000 8.891 2.978 59 6 10 4 0.9922 0.9989 0.0000 12.976 3.449 59 6 20 4 +17 0 0.9974 0.9989 0.0000 8.443 2.847 59 6 8 4 0.9925 0.9989 0.0000 12.725 3.415 59 6 20 4 +18 0 0.9964 0.9989 0.0000 8.078 2.743 59 6 9 4 0.9927 0.9989 0.0000 12.480 3.380 59 6 20 4 +19 0 0.9978 0.9989 0.0000 7.976 2.728 59 6 9 4 0.9930 0.9989 0.0000 12.255 3.347 59 6 20 4 +20 0 0.9970 0.9989 0.0000 7.639 2.668 59 6 27 6 0.9932 0.9989 0.0000 12.035 3.315 59 6 20 4 +21 0 0.9974 0.9989 0.0000 7.471 2.639 59 6 21 6 0.9934 0.9989 0.0000 11.827 3.284 59 6 20 4 +22 0 0.9968 0.9989 0.0000 7.183 2.548 59 6 16 5 0.9935 0.9989 0.0000 11.626 3.252 59 6 20 4 +23 0 0.9974 0.9989 0.0000 6.908 2.464 47 8 57 6 0.9937 0.9989 0.0000 11.429 3.219 47 8 20 4 +24 0 0.9974 0.9989 0.0000 6.692 2.417 47 8 59 6 0.9938 0.9989 0.0000 11.240 3.187 47 8 20 4 +25 0 0.9966 0.9989 0.0000 6.404 2.333 47 8 15 5 0.9939 0.9989 0.0000 11.054 3.154 47 8 20 4 +26 0 0.9966 0.9989 0.0000 6.199 2.259 47 8 34 14 0.9940 0.9989 0.0000 10.874 3.121 47 8 20 4 +27 0 0.9972 0.9989 0.0000 6.080 2.221 47 8 113 12 0.9941 0.9989 0.0000 10.703 3.089 47 8 20 4 +28 0 0.9978 0.9989 0.0000 5.824 2.162 47 8 33 9 0.9943 0.9989 0.0000 10.534 3.057 47 8 20 4 +29 0 0.9972 0.9989 0.0000 5.825 2.151 47 8 9 4 0.9944 0.9989 0.0000 10.377 3.027 47 8 20 4 +30 0 0.9966 0.9989 0.0000 5.835 2.119 47 8 8 3 0.9944 0.9989 0.0000 10.231 2.998 47 8 20 4 +31 0 0.9976 0.9989 0.0000 5.563 2.040 28 8 49 10 0.9945 0.9989 0.0000 10.085 2.968 28 8 20 4 +32 0 0.9976 0.9989 0.0000 5.462 2.027 28 8 7 3 0.9946 0.9989 0.0000 9.945 2.939 28 8 20 4 +33 0 0.9972 0.9989 0.0000 5.454 2.010 28 8 25 9 0.9947 0.9989 0.0000 9.813 2.912 28 8 20 4 +34 0 0.9978 0.9989 0.0000 5.289 1.994 28 8 28 8 0.9948 0.9989 0.0000 9.684 2.886 28 8 20 4 +35 0 0.9976 0.9989 0.0000 5.195 1.971 28 8 15 4 0.9949 0.9989 0.0000 9.559 2.860 28 8 20 4 +36 0 0.9968 0.9989 0.0000 5.143 1.977 28 8 9 4 0.9949 0.9989 0.0000 9.439 2.836 28 8 20 4 +37 0 0.9978 0.9989 0.0000 5.073 1.938 28 8 15 5 0.9950 0.9989 0.0000 9.325 2.813 28 8 20 4 +38 0 0.9974 0.9989 0.0000 5.005 1.922 26 8 20 7 0.9951 0.9989 0.0000 9.214 2.790 26 8 20 4 +39 0 0.9972 0.9989 0.0000 4.955 1.933 26 8 8 3 0.9951 0.9989 0.0000 9.107 2.769 26 8 20 4 +40 0 0.9968 0.9989 0.0000 4.940 1.907 26 8 24 6 0.9952 0.9989 0.0000 9.006 2.748 26 8 20 4 +41 0 0.9974 0.9989 0.0000 4.898 1.902 26 8 7 3 0.9952 0.9989 0.0000 8.908 2.727 26 8 20 4 +42 0 0.9974 0.9989 0.0000 4.846 1.882 26 8 10 4 0.9953 0.9989 0.0000 8.813 2.708 26 8 20 4 +43 0 0.9972 0.9989 0.0000 4.905 1.909 26 8 15 6 0.9953 0.9989 0.0000 8.725 2.690 26 8 20 4 +44 0 0.9974 0.9989 0.0000 4.983 1.936 26 8 28 8 0.9954 0.9989 0.0000 8.641 2.673 26 8 20 4 +45 0 0.9978 0.9989 0.0000 4.849 1.880 26 8 16 6 0.9954 0.9989 0.0000 8.559 2.656 26 8 20 4 +46 0 0.9970 0.9989 0.0000 4.687 1.824 26 8 9 4 0.9954 0.9989 0.0000 8.477 2.638 26 8 20 4 +47 0 0.9974 0.9989 0.0000 4.685 1.811 26 8 11 6 0.9955 0.9989 0.0000 8.398 2.621 26 8 20 4 +48 0 0.9968 0.9989 0.0000 4.668 1.806 26 8 19 5 0.9955 0.9989 0.0000 8.322 2.604 26 8 20 4 +49 0 0.9972 0.9989 0.0000 4.721 1.825 26 8 21 6 0.9955 0.9989 0.0000 8.250 2.588 26 8 20 4 +50 0 0.9972 0.9989 0.0000 4.588 1.781 26 8 35 8 0.9956 0.9989 0.0000 8.178 2.573 26 8 20 4 +51 0 0.9974 0.9989 0.0000 4.642 1.801 26 8 14 5 0.9956 0.9989 0.0000 8.110 2.558 26 8 20 4 diff --git a/PartB/90Cross90Mut2El/run_9/regress.sys b/PartB/90Cross90Mut2El/run_9/regress.sys new file mode 100644 index 0000000..758659b --- /dev/null +++ b/PartB/90Cross90Mut2El/run_9/regress.sys @@ -0,0 +1,205 @@ + +[ lil-gp Genetic Programming System. +[ Portions copyright (c) 1995 Michigan State University. All rights reserved. +[ kernel version 1.0; 11 July 1995. + + +initialization: + parameter database. + ephemeral random constants. + generation spaces. +updating function set(s): + set 0: removed. +building function set(s): + set 0: * / + - exp log area perimeter major minor eccentricity convex extent R + tree 0 uses function set 0. + function set complete. + no random number seed specfied; using 75. +creating initial population(s): + 7258 trees were generated to fill the population of 5000 (5000 trees). + initial population(s) complete. + + +starting evolution. +no checkpointing will be done. +=== generation 0. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 1. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 2. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 3. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 4. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 5. + evaluation complete. (1s wall) + breeding complete. (1s wall) +=== generation 6. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 7. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 8. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 9. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 10. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 11. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 12. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 13. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 14. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 15. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 16. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 17. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 18. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 19. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 20. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 21. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 22. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 23. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 24. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 25. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 26. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 27. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 28. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 29. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 30. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 31. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 32. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 33. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 34. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 35. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 36. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 37. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 38. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 39. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 40. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 41. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 42. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 43. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 44. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 45. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 46. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 47. + evaluation complete. (1s wall) + breeding complete. (0s wall) +=== generation 48. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 49. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 50. + evaluation complete. (0s wall) + breeding complete. (0s wall) +=== generation 51. + evaluation complete. 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DEC(__FCC_patchlevel__) +# endif +# if defined(__fcc_version) +# define COMPILER_VERSION_INTERNAL DEC(__fcc_version) +# elif defined(__FCC_VERSION) +# define COMPILER_VERSION_INTERNAL DEC(__FCC_VERSION) +# endif + + +#elif defined(__ghs__) +# define COMPILER_ID "GHS" +/* __GHS_VERSION_NUMBER = VVVVRP */ +# ifdef __GHS_VERSION_NUMBER +# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100) +# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10) +# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER % 10) +# endif + +#elif defined(__TASKING__) +# define COMPILER_ID "Tasking" + # define COMPILER_VERSION_MAJOR DEC(__VERSION__/1000) + # define COMPILER_VERSION_MINOR DEC(__VERSION__ % 100) +# define COMPILER_VERSION_INTERNAL DEC(__VERSION__) + +#elif defined(__ORANGEC__) +# define COMPILER_ID "OrangeC" +# define COMPILER_VERSION_MAJOR DEC(__ORANGEC_MAJOR__) +# define COMPILER_VERSION_MINOR DEC(__ORANGEC_MINOR__) +# define COMPILER_VERSION_PATCH DEC(__ORANGEC_PATCHLEVEL__) + +#elif defined(__TINYC__) +# define COMPILER_ID "TinyCC" + +#elif defined(__BCC__) +# define COMPILER_ID "Bruce" + +#elif defined(__SCO_VERSION__) +# define COMPILER_ID "SCO" + +#elif defined(__ARMCC_VERSION) && !defined(__clang__) +# define COMPILER_ID "ARMCC" +#if __ARMCC_VERSION >= 1000000 + /* __ARMCC_VERSION = VRRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#else + /* __ARMCC_VERSION = VRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#endif + + +#elif defined(__clang__) && defined(__apple_build_version__) +# define COMPILER_ID "AppleClang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif +# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__) + +#elif defined(__clang__) && defined(__ARMCOMPILER_VERSION) +# define COMPILER_ID "ARMClang" + # define COMPILER_VERSION_MAJOR DEC(__ARMCOMPILER_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCOMPILER_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCOMPILER_VERSION/100 % 100) +# define COMPILER_VERSION_INTERNAL DEC(__ARMCOMPILER_VERSION) + +#elif defined(__clang__) +# define COMPILER_ID "Clang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif + +#elif defined(__LCC__) && (defined(__GNUC__) || defined(__GNUG__) || defined(__MCST__)) +# define COMPILER_ID "LCC" +# define COMPILER_VERSION_MAJOR DEC(__LCC__ / 100) +# define COMPILER_VERSION_MINOR DEC(__LCC__ % 100) +# if defined(__LCC_MINOR__) +# define COMPILER_VERSION_PATCH DEC(__LCC_MINOR__) +# endif +# if defined(__GNUC__) && defined(__GNUC_MINOR__) +# define SIMULATE_ID "GNU" +# define SIMULATE_VERSION_MAJOR DEC(__GNUC__) +# define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__) +# if defined(__GNUC_PATCHLEVEL__) +# define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif +# endif + +#elif defined(__GNUC__) +# define COMPILER_ID "GNU" +# define COMPILER_VERSION_MAJOR DEC(__GNUC__) +# if defined(__GNUC_MINOR__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +#elif defined(_ADI_COMPILER) +# define COMPILER_ID "ADSP" +#if defined(__VERSIONNUM__) + /* __VERSIONNUM__ = 0xVVRRPPTT */ +# define COMPILER_VERSION_MAJOR DEC(__VERSIONNUM__ >> 24 & 0xFF) +# define COMPILER_VERSION_MINOR DEC(__VERSIONNUM__ >> 16 & 0xFF) +# define COMPILER_VERSION_PATCH DEC(__VERSIONNUM__ >> 8 & 0xFF) +# define COMPILER_VERSION_TWEAK DEC(__VERSIONNUM__ & 0xFF) +#endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# define COMPILER_ID "IAR" +# if defined(__VER__) && defined(__ICCARM__) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000) +# define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000) +# define COMPILER_VERSION_PATCH DEC((__VER__) % 1000) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__) || defined(__ICCRISCV__) || defined(__ICCV850__) || defined(__ICC8051__) || defined(__ICCSTM8__)) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 100) +# define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100)) +# define COMPILER_VERSION_PATCH DEC(__SUBVERSION__) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# endif + +#elif defined(__SDCC_VERSION_MAJOR) || defined(SDCC) +# define COMPILER_ID "SDCC" +# if defined(__SDCC_VERSION_MAJOR) +# define COMPILER_VERSION_MAJOR DEC(__SDCC_VERSION_MAJOR) +# define COMPILER_VERSION_MINOR DEC(__SDCC_VERSION_MINOR) +# define COMPILER_VERSION_PATCH DEC(__SDCC_VERSION_PATCH) +# else + /* SDCC = VRP */ +# define COMPILER_VERSION_MAJOR DEC(SDCC/100) +# define COMPILER_VERSION_MINOR DEC(SDCC/10 % 10) +# define COMPILER_VERSION_PATCH DEC(SDCC % 10) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__MSYS__) +# define PLATFORM_ID "MSYS" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# elif defined(__VXWORKS__) +# define PLATFORM_ID "VxWorks" + +# else /* unknown platform */ +# define PLATFORM_ID +# endif + +#elif defined(__INTEGRITY) +# if defined(INT_178B) +# define PLATFORM_ID "Integrity178" + +# else /* regular Integrity */ +# define PLATFORM_ID "Integrity" +# endif + +# elif defined(_ADI_COMPILER) +# define PLATFORM_ID "ADSP" + +#else /* unknown platform */ +# define PLATFORM_ID + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_ARM64EC) +# define ARCHITECTURE_ID "ARM64EC" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM64) +# define ARCHITECTURE_ID "ARM64" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# if defined(__ICCARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__ICCRX__) +# define ARCHITECTURE_ID "RX" + +# elif defined(__ICCRH850__) +# define ARCHITECTURE_ID "RH850" + +# elif defined(__ICCRL78__) +# define ARCHITECTURE_ID "RL78" + +# elif defined(__ICCRISCV__) +# define ARCHITECTURE_ID "RISCV" + +# elif defined(__ICCAVR__) +# define ARCHITECTURE_ID "AVR" + +# elif defined(__ICC430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__ICCV850__) +# define ARCHITECTURE_ID "V850" + +# elif defined(__ICC8051__) +# define ARCHITECTURE_ID "8051" + +# elif defined(__ICCSTM8__) +# define ARCHITECTURE_ID "STM8" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__ghs__) +# if defined(__PPC64__) +# define ARCHITECTURE_ID "PPC64" + +# elif defined(__ppc__) +# define ARCHITECTURE_ID "PPC" + +# elif defined(__ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__x86_64__) +# define ARCHITECTURE_ID "x64" + +# elif defined(__i386__) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__TI_COMPILER_VERSION__) +# if defined(__TI_ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__MSP430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__TMS320C28XX__) +# define ARCHITECTURE_ID "TMS320C28x" + +# elif defined(__TMS320C6X__) || defined(_TMS320C6X) +# define ARCHITECTURE_ID "TMS320C6x" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +# elif defined(__ADSPSHARC__) +# define ARCHITECTURE_ID "SHARC" + +# elif defined(__ADSPBLACKFIN__) +# define ARCHITECTURE_ID "Blackfin" + +#elif defined(__TASKING__) + +# if defined(__CTC__) || defined(__CPTC__) +# define ARCHITECTURE_ID "TriCore" + +# elif defined(__CMCS__) +# define ARCHITECTURE_ID "MCS" + +# elif defined(__CARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__CARC__) +# define ARCHITECTURE_ID "ARC" + +# elif defined(__C51__) +# define ARCHITECTURE_ID "8051" + +# elif defined(__CPCP__) +# define ARCHITECTURE_ID "PCP" + +# else +# define ARCHITECTURE_ID "" +# endif + +#else +# define ARCHITECTURE_ID +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number. */ +#ifdef COMPILER_VERSION +char const* info_version = "INFO" ":" "compiler_version[" COMPILER_VERSION "]"; + +/* Construct a string literal encoding the version number components. */ +#elif defined(COMPILER_VERSION_MAJOR) +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct a string literal encoding the internal version number. */ +#ifdef COMPILER_VERSION_INTERNAL +char const info_version_internal[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_', + 'i','n','t','e','r','n','a','l','[', + COMPILER_VERSION_INTERNAL,']','\0'}; +#elif defined(COMPILER_VERSION_INTERNAL_STR) +char const* info_version_internal = "INFO" ":" "compiler_version_internal[" COMPILER_VERSION_INTERNAL_STR "]"; +#endif + +/* Construct a string literal encoding the version number components. */ +#ifdef SIMULATE_VERSION_MAJOR +char const info_simulate_version[] = { + 'I', 'N', 'F', 'O', ':', + 's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[', + SIMULATE_VERSION_MAJOR, +# ifdef SIMULATE_VERSION_MINOR + '.', SIMULATE_VERSION_MINOR, +# ifdef SIMULATE_VERSION_PATCH + '.', SIMULATE_VERSION_PATCH, +# ifdef SIMULATE_VERSION_TWEAK + '.', SIMULATE_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; +char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; + + + +#if !defined(__STDC__) && !defined(__clang__) +# if defined(_MSC_VER) || defined(__ibmxl__) || defined(__IBMC__) +# define C_VERSION "90" +# else +# define C_VERSION +# endif +#elif __STDC_VERSION__ > 201710L +# define C_VERSION "23" +#elif __STDC_VERSION__ >= 201710L +# define C_VERSION "17" +#elif __STDC_VERSION__ >= 201000L +# define C_VERSION "11" +#elif __STDC_VERSION__ >= 199901L +# define C_VERSION "99" +#else +# define C_VERSION "90" +#endif +const char* info_language_standard_default = + "INFO" ":" "standard_default[" C_VERSION "]"; + +const char* info_language_extensions_default = "INFO" ":" "extensions_default[" +#if (defined(__clang__) || defined(__GNUC__) || defined(__xlC__) || \ + defined(__TI_COMPILER_VERSION__)) && \ + !defined(__STRICT_ANSI__) + "ON" +#else + "OFF" +#endif +"]"; + +/*--------------------------------------------------------------------------*/ + +#ifdef ID_VOID_MAIN +void main() {} +#else +# if defined(__CLASSIC_C__) +int main(argc, argv) int argc; char *argv[]; +# else +int main(int argc, char* argv[]) +# endif +{ + int require = 0; + require += info_compiler[argc]; + require += info_platform[argc]; + require += info_arch[argc]; +#ifdef COMPILER_VERSION_MAJOR + require += info_version[argc]; +#endif +#ifdef COMPILER_VERSION_INTERNAL + require += info_version_internal[argc]; +#endif +#ifdef SIMULATE_ID + require += info_simulate[argc]; +#endif +#ifdef SIMULATE_VERSION_MAJOR + require += info_simulate_version[argc]; +#endif +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) + require += info_cray[argc]; +#endif + require += info_language_standard_default[argc]; + require += info_language_extensions_default[argc]; + (void)argv; 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*/ +# define COMPILER_VERSION_MAJOR DEC(__WATCOMC__ / 100) +# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__WATCOMC__) +# define COMPILER_ID "OpenWatcom" + /* __WATCOMC__ = VVRP + 1100 */ +# define COMPILER_VERSION_MAJOR DEC((__WATCOMC__ - 1100) / 100) +# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__SUNPRO_CC) +# define COMPILER_ID "SunPro" +# if __SUNPRO_CC >= 0x5100 + /* __SUNPRO_CC = 0xVRRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>12) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# else + /* __SUNPRO_CC = 0xVRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>8) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# endif + +#elif defined(__HP_aCC) +# define COMPILER_ID "HP" + /* __HP_aCC = VVRRPP */ +# define COMPILER_VERSION_MAJOR DEC(__HP_aCC/10000) +# define COMPILER_VERSION_MINOR DEC(__HP_aCC/100 % 100) +# define COMPILER_VERSION_PATCH DEC(__HP_aCC % 100) + +#elif defined(__DECCXX) +# define COMPILER_ID "Compaq" + /* __DECCXX_VER = VVRRTPPPP */ +# define COMPILER_VERSION_MAJOR DEC(__DECCXX_VER/10000000) +# define COMPILER_VERSION_MINOR DEC(__DECCXX_VER/100000 % 100) +# define COMPILER_VERSION_PATCH DEC(__DECCXX_VER % 10000) + +#elif defined(__IBMCPP__) && defined(__COMPILER_VER__) +# define COMPILER_ID "zOS" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__open_xl__) && defined(__clang__) +# define COMPILER_ID "IBMClang" +# define COMPILER_VERSION_MAJOR DEC(__open_xl_version__) +# define COMPILER_VERSION_MINOR DEC(__open_xl_release__) +# define COMPILER_VERSION_PATCH DEC(__open_xl_modification__) +# define COMPILER_VERSION_TWEAK DEC(__open_xl_ptf_fix_level__) + + +#elif defined(__ibmxl__) && defined(__clang__) +# define COMPILER_ID "XLClang" +# define COMPILER_VERSION_MAJOR DEC(__ibmxl_version__) +# define COMPILER_VERSION_MINOR DEC(__ibmxl_release__) +# define COMPILER_VERSION_PATCH DEC(__ibmxl_modification__) +# define COMPILER_VERSION_TWEAK DEC(__ibmxl_ptf_fix_level__) + + +#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ >= 800 +# define COMPILER_ID "XL" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ < 800 +# define COMPILER_ID "VisualAge" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__NVCOMPILER) +# define COMPILER_ID "NVHPC" +# define COMPILER_VERSION_MAJOR DEC(__NVCOMPILER_MAJOR__) +# define COMPILER_VERSION_MINOR DEC(__NVCOMPILER_MINOR__) +# if defined(__NVCOMPILER_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__NVCOMPILER_PATCHLEVEL__) +# endif + +#elif defined(__PGI) +# define COMPILER_ID "PGI" +# define COMPILER_VERSION_MAJOR DEC(__PGIC__) +# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__) +# if defined(__PGIC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__) +# endif + +#elif defined(__clang__) && defined(__cray__) +# define COMPILER_ID "CrayClang" +# define COMPILER_VERSION_MAJOR DEC(__cray_major__) +# define COMPILER_VERSION_MINOR DEC(__cray_minor__) +# define COMPILER_VERSION_PATCH DEC(__cray_patchlevel__) +# define COMPILER_VERSION_INTERNAL_STR __clang_version__ + + +#elif defined(_CRAYC) +# define COMPILER_ID "Cray" +# define COMPILER_VERSION_MAJOR DEC(_RELEASE_MAJOR) +# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR) + +#elif defined(__TI_COMPILER_VERSION__) +# define COMPILER_ID "TI" + /* __TI_COMPILER_VERSION__ = VVVRRRPPP */ +# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000) +# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000 % 1000) +# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__ % 1000) + +#elif defined(__CLANG_FUJITSU) +# define COMPILER_ID "FujitsuClang" +# define COMPILER_VERSION_MAJOR DEC(__FCC_major__) +# define COMPILER_VERSION_MINOR DEC(__FCC_minor__) +# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__) +# define COMPILER_VERSION_INTERNAL_STR __clang_version__ + + +#elif defined(__FUJITSU) +# define COMPILER_ID "Fujitsu" +# if defined(__FCC_version__) +# define COMPILER_VERSION __FCC_version__ +# elif defined(__FCC_major__) +# define COMPILER_VERSION_MAJOR DEC(__FCC_major__) +# define COMPILER_VERSION_MINOR DEC(__FCC_minor__) +# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__) +# endif +# if defined(__fcc_version) +# define COMPILER_VERSION_INTERNAL DEC(__fcc_version) +# elif defined(__FCC_VERSION) +# define COMPILER_VERSION_INTERNAL DEC(__FCC_VERSION) +# endif + + +#elif defined(__ghs__) +# define COMPILER_ID "GHS" +/* __GHS_VERSION_NUMBER = VVVVRP */ +# ifdef __GHS_VERSION_NUMBER +# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100) +# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10) +# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER % 10) +# endif + +#elif defined(__TASKING__) +# define COMPILER_ID "Tasking" + # define COMPILER_VERSION_MAJOR DEC(__VERSION__/1000) + # define COMPILER_VERSION_MINOR DEC(__VERSION__ % 100) +# define COMPILER_VERSION_INTERNAL DEC(__VERSION__) + +#elif defined(__ORANGEC__) +# define COMPILER_ID "OrangeC" +# define COMPILER_VERSION_MAJOR DEC(__ORANGEC_MAJOR__) +# define COMPILER_VERSION_MINOR DEC(__ORANGEC_MINOR__) +# define COMPILER_VERSION_PATCH DEC(__ORANGEC_PATCHLEVEL__) + +#elif defined(__SCO_VERSION__) +# define COMPILER_ID "SCO" + +#elif defined(__ARMCC_VERSION) && !defined(__clang__) +# define COMPILER_ID "ARMCC" +#if __ARMCC_VERSION >= 1000000 + /* __ARMCC_VERSION = VRRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#else + /* __ARMCC_VERSION = VRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#endif + + +#elif defined(__clang__) && defined(__apple_build_version__) +# define COMPILER_ID "AppleClang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif +# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__) + +#elif defined(__clang__) && defined(__ARMCOMPILER_VERSION) +# define COMPILER_ID "ARMClang" + # define COMPILER_VERSION_MAJOR DEC(__ARMCOMPILER_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCOMPILER_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCOMPILER_VERSION/100 % 100) +# define COMPILER_VERSION_INTERNAL DEC(__ARMCOMPILER_VERSION) + +#elif defined(__clang__) +# define COMPILER_ID "Clang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif + +#elif defined(__LCC__) && (defined(__GNUC__) || defined(__GNUG__) || defined(__MCST__)) +# define COMPILER_ID "LCC" +# define COMPILER_VERSION_MAJOR DEC(__LCC__ / 100) +# define COMPILER_VERSION_MINOR DEC(__LCC__ % 100) +# if defined(__LCC_MINOR__) +# define COMPILER_VERSION_PATCH DEC(__LCC_MINOR__) +# endif +# if defined(__GNUC__) && defined(__GNUC_MINOR__) +# define SIMULATE_ID "GNU" +# define SIMULATE_VERSION_MAJOR DEC(__GNUC__) +# define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__) +# if defined(__GNUC_PATCHLEVEL__) +# define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif +# endif + +#elif defined(__GNUC__) || defined(__GNUG__) +# define COMPILER_ID "GNU" +# if defined(__GNUC__) +# define COMPILER_VERSION_MAJOR DEC(__GNUC__) +# else +# define COMPILER_VERSION_MAJOR DEC(__GNUG__) +# endif +# if defined(__GNUC_MINOR__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +#elif defined(_ADI_COMPILER) +# define COMPILER_ID "ADSP" +#if defined(__VERSIONNUM__) + /* __VERSIONNUM__ = 0xVVRRPPTT */ +# define COMPILER_VERSION_MAJOR DEC(__VERSIONNUM__ >> 24 & 0xFF) +# define COMPILER_VERSION_MINOR DEC(__VERSIONNUM__ >> 16 & 0xFF) +# define COMPILER_VERSION_PATCH DEC(__VERSIONNUM__ >> 8 & 0xFF) +# define COMPILER_VERSION_TWEAK DEC(__VERSIONNUM__ & 0xFF) +#endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# define COMPILER_ID "IAR" +# if defined(__VER__) && defined(__ICCARM__) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000) +# define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000) +# define COMPILER_VERSION_PATCH DEC((__VER__) % 1000) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__) || defined(__ICCRISCV__) || defined(__ICCV850__) || defined(__ICC8051__) || defined(__ICCSTM8__)) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 100) +# define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100)) +# define COMPILER_VERSION_PATCH DEC(__SUBVERSION__) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__MSYS__) +# define PLATFORM_ID "MSYS" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# elif defined(__VXWORKS__) +# define PLATFORM_ID "VxWorks" + +# else /* unknown platform */ +# define PLATFORM_ID +# endif + +#elif defined(__INTEGRITY) +# if defined(INT_178B) +# define PLATFORM_ID "Integrity178" + +# else /* regular Integrity */ +# define PLATFORM_ID "Integrity" +# endif + +# elif defined(_ADI_COMPILER) +# define PLATFORM_ID "ADSP" + +#else /* unknown platform */ +# define PLATFORM_ID + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_ARM64EC) +# define ARCHITECTURE_ID "ARM64EC" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM64) +# define ARCHITECTURE_ID "ARM64" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# if defined(__ICCARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__ICCRX__) +# define ARCHITECTURE_ID "RX" + +# elif defined(__ICCRH850__) +# define ARCHITECTURE_ID "RH850" + +# elif defined(__ICCRL78__) +# define ARCHITECTURE_ID "RL78" + +# elif defined(__ICCRISCV__) +# define ARCHITECTURE_ID "RISCV" + +# elif defined(__ICCAVR__) +# define ARCHITECTURE_ID "AVR" + +# elif defined(__ICC430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__ICCV850__) +# define ARCHITECTURE_ID "V850" + +# elif defined(__ICC8051__) +# define ARCHITECTURE_ID "8051" + +# elif defined(__ICCSTM8__) +# define ARCHITECTURE_ID "STM8" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__ghs__) +# if defined(__PPC64__) +# define ARCHITECTURE_ID "PPC64" + +# elif defined(__ppc__) +# define ARCHITECTURE_ID "PPC" + +# elif defined(__ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__x86_64__) +# define ARCHITECTURE_ID "x64" + +# elif defined(__i386__) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__TI_COMPILER_VERSION__) +# if defined(__TI_ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__MSP430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__TMS320C28XX__) +# define ARCHITECTURE_ID "TMS320C28x" + +# elif defined(__TMS320C6X__) || defined(_TMS320C6X) +# define ARCHITECTURE_ID "TMS320C6x" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +# elif defined(__ADSPSHARC__) +# define ARCHITECTURE_ID "SHARC" + +# elif defined(__ADSPBLACKFIN__) +# define ARCHITECTURE_ID "Blackfin" + +#elif defined(__TASKING__) + +# if defined(__CTC__) || defined(__CPTC__) +# define ARCHITECTURE_ID "TriCore" + +# elif defined(__CMCS__) +# define ARCHITECTURE_ID "MCS" + +# elif defined(__CARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__CARC__) +# define ARCHITECTURE_ID "ARC" + +# elif defined(__C51__) +# define ARCHITECTURE_ID "8051" + +# elif defined(__CPCP__) +# define ARCHITECTURE_ID "PCP" + +# else +# define ARCHITECTURE_ID "" +# endif + +#else +# define ARCHITECTURE_ID +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number. */ +#ifdef COMPILER_VERSION +char const* info_version = "INFO" ":" "compiler_version[" COMPILER_VERSION "]"; + +/* Construct a string literal encoding the version number components. */ +#elif defined(COMPILER_VERSION_MAJOR) +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct a string literal encoding the internal version number. */ +#ifdef COMPILER_VERSION_INTERNAL +char const info_version_internal[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_', + 'i','n','t','e','r','n','a','l','[', + COMPILER_VERSION_INTERNAL,']','\0'}; +#elif defined(COMPILER_VERSION_INTERNAL_STR) +char const* info_version_internal = "INFO" ":" "compiler_version_internal[" COMPILER_VERSION_INTERNAL_STR "]"; +#endif + +/* Construct a string literal encoding the version number components. */ +#ifdef SIMULATE_VERSION_MAJOR +char const info_simulate_version[] = { + 'I', 'N', 'F', 'O', ':', + 's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[', + SIMULATE_VERSION_MAJOR, +# ifdef SIMULATE_VERSION_MINOR + '.', SIMULATE_VERSION_MINOR, +# ifdef SIMULATE_VERSION_PATCH + '.', SIMULATE_VERSION_PATCH, +# ifdef SIMULATE_VERSION_TWEAK + '.', SIMULATE_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; +char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; + + + +#if defined(__INTEL_COMPILER) && defined(_MSVC_LANG) && _MSVC_LANG < 201403L +# if defined(__INTEL_CXX11_MODE__) +# if defined(__cpp_aggregate_nsdmi) +# define CXX_STD 201402L +# else +# define CXX_STD 201103L +# endif +# else +# define CXX_STD 199711L +# endif +#elif defined(_MSC_VER) && defined(_MSVC_LANG) +# define CXX_STD _MSVC_LANG +#else +# define CXX_STD __cplusplus +#endif + +const char* info_language_standard_default = "INFO" ":" "standard_default[" +#if CXX_STD > 202002L + "23" +#elif CXX_STD > 201703L + "20" +#elif CXX_STD >= 201703L + "17" +#elif CXX_STD >= 201402L + "14" +#elif CXX_STD >= 201103L + "11" +#else + "98" +#endif +"]"; + +const char* info_language_extensions_default = "INFO" ":" "extensions_default[" +#if (defined(__clang__) || defined(__GNUC__) || defined(__xlC__) || \ + defined(__TI_COMPILER_VERSION__)) && \ + !defined(__STRICT_ANSI__) + "ON" +#else + "OFF" +#endif +"]"; + +/*--------------------------------------------------------------------------*/ + +int main(int argc, char* argv[]) +{ + int require = 0; + require += info_compiler[argc]; + require += info_platform[argc]; + require += info_arch[argc]; +#ifdef COMPILER_VERSION_MAJOR + require += info_version[argc]; +#endif +#ifdef COMPILER_VERSION_INTERNAL + require += info_version_internal[argc]; +#endif +#ifdef SIMULATE_ID + require += info_simulate[argc]; +#endif +#ifdef SIMULATE_VERSION_MAJOR + require += info_simulate_version[argc]; +#endif +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) + require += info_cray[argc]; +#endif + require += info_language_standard_default[argc]; + require += info_language_extensions_default[argc]; + (void)argv; + return require; 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