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COSC-4P82-Final-Project
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main
Brett 2024-04-02 14:01:10 -04:00
parent 053e022355
commit 3572c40e61
78 changed files with 22038 additions and 12464 deletions
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6
.idea/workspace.xml
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@ -284,7 +284,7 @@
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@ -307,7 +307,7 @@
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2
CMakeLists.txt
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@ -1,6 +1,6 @@
cmake_minimum_required(VERSION 3.20.2) cmake_minimum_required(VERSION 3.20.2)
project(FinalProject C CXX) project(FinalProject C CXX)
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Checking for sanatizers Checking for sanatizers
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1794 1852 1712080605512390638 FinalProject_Runner 31aa7971508b3336
1 1930 1712080710581908416 CMakeFiles/FinalProject_Runner.dir/src/runner/main.cpp.o 52814cb7d6415d14
1930 1991 1712080710641909283 FinalProject_Runner 31aa7971508b3336
2 2081 1712080730650198201 CMakeFiles/FinalProject_Runner.dir/src/runner/main.cpp.o 52814cb7d6415d14
2081 2140 1712080730710199068 FinalProject_Runner 31aa7971508b3336
2 1951 1712080752518513940 CMakeFiles/FinalProject_Runner.dir/src/runner/main.cpp.o 52814cb7d6415d14
1951 2011 1712080752578514807 FinalProject_Runner 31aa7971508b3336
1 2090 1712080796871154200 CMakeFiles/FinalProject_Runner.dir/src/runner/main.cpp.o 52814cb7d6415d14
2090 2154 1712080796935155125 FinalProject_Runner 31aa7971508b3336

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@ -20,7 +20,7 @@ Enabling platform specific compile options for BLT
-- GCC Link: -rdynamic -- GCC Link: -rdynamic
-- GCC libs: stdc++fs -- GCC libs: stdc++fs
Including Parallel Hashmap directory Including Parallel Hashmap directory
BLT 0.15.11 Successfully included! BLT 0.15.12 Successfully included!
Installing to lib with headers at include Installing to lib with headers at include
Checking for sanatizers Checking for sanatizers
-- Configuring done (0.0s) -- Configuring done (0.0s)

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@ -1,3 +1,3 @@
Start testing: Apr 02 01:51 EDT Start testing: Apr 02 14:00 EDT
---------------------------------------------------------- ----------------------------------------------------------
End testing: Apr 02 01:51 EDT End testing: Apr 02 14:00 EDT

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cmake-build-relwithdebinfo/run_0/regress.bst
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@ -1,18 +1,32 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 7 generation: 46
nodes: 5 nodes: 54
depth: 2 depth: 7
hits: 573 hits: 848
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 573 hits: 848
raw fitness: 573.0000 raw fitness: 848.0000
standardized fitness: 573.0000 standardized fitness: 848.0000
adjusted fitness: 0.9983 adjusted fitness: 0.9988
TREE: TREE:
(/ (+ extent -0.59213) -0.75926) (- (/ (+ (exp (+ (+ minor -0.32764)
(/ perimeter major)))
(+ minor
(* (* area eccentricity)
(exp eccentricity))))
(- extent eccentricity))
(/ (* 0.22920
(log 0.59994))
(* (/ (* (+ minor convex)
(* minor
(+ minor eccentricity)))
(exp (* 0.69819 major)))
(* (* (+ (log minor)
(+ major convex)) minor)
(- convex major)))))
TREE-equ: TREE-equ:
y = ((extent + -0.59213) / -0.75926) y = (((exp(((minor + -0.32764) + (perimeter / major))) + (minor + ((area * eccentricity) * exp(eccentricity)))) / (extent - eccentricity)) - ((0.22920 * log(0.59994)) / ((((minor + convex) * (minor * (minor + eccentricity))) / exp((0.69819 * major))) * (((log(minor) + (major + convex)) * minor) * (convex - major)))))

32
cmake-build-relwithdebinfo/run_0/regress.fn
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@ -1,12 +1,26 @@
Hits: 1838, Total Size: 2810, Percent Hit: 65.409253 Hits: 2369, Total Size: 2810, Percent Hit: 84.306050
CC: 370 CC: 939
CO: 760 CO: 206
OO: 1468 OO: 1430
OC: 212 OC: 235
Fitness: 0.998258 Fitness: 0.998822
Hits: 573 Hits: 848
y = ((extent + -0.59213) / -0.75926) y = (((exp(((minor + -0.32764) + (perimeter / major))) + (minor + ((area * eccentricity) * exp(eccentricity)))) / (extent - eccentricity)) - ((0.22920 * log(0.59994)) / ((((minor + convex) * (minor * (minor + eccentricity))) / exp((0.69819 * major))) * (((log(minor) + (major + convex)) * minor) * (convex - major)))))
(/ (+ extent -0.59213) -0.75926) (- (/ (+ (exp (+ (+ minor -0.32764)
(/ perimeter major)))
(+ minor
(* (* area eccentricity)
(exp eccentricity))))
(- extent eccentricity))
(/ (* 0.22920
(log 0.59994))
(* (/ (* (+ minor convex)
(* minor
(+ minor eccentricity)))
(exp (* 0.69819 major)))
(* (* (+ (log minor)
(+ major convex)) minor)
(- convex major)))))

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cmake-build-relwithdebinfo/run_0/regress.stt
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@ -1,11 +1,52 @@
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
0 0 0.9541 0.9980 0.0000 18.584 3.300 16 5 76 6 0.9541 0.9980 0.0000 18.584 3.300 16 5 76 6 0 0 0.9780 0.9981 0.0000 14.588 3.096 6 2 30 5 0.9780 0.9981 0.0000 14.588 3.096 6 2 30 5
1 0 0.9940 0.9980 0.0000 15.820 3.288 16 5 31 5 0.9740 0.9980 0.0000 17.202 3.294 16 5 76 6 1 0 0.9980 0.9981 0.9963 13.488 3.100 6 2 10 4 0.9880 0.9981 0.0000 14.038 3.098 6 2 30 5
2 0 0.9940 0.9982 0.0000 17.056 3.656 4 2 33 5 0.9807 0.9982 0.0000 17.153 3.415 4 2 76 6 2 0 0.9860 0.9983 0.0000 13.612 3.112 8 3 31 8 0.9873 0.9983 0.0000 13.896 3.103 8 3 30 5
3 0 0.9980 0.9982 0.9942 16.024 3.716 4 2 53 8 0.9850 0.9982 0.0000 16.871 3.490 4 2 76 6 3 0 0.9940 0.9983 0.0000 13.156 3.172 8 3 31 6 0.9890 0.9983 0.0000 13.711 3.120 8 3 30 5
4 0 0.9980 0.9982 0.9942 15.832 3.672 4 2 34 6 0.9876 0.9982 0.0000 16.663 3.526 4 2 76 6 4 0 0.9980 0.9983 0.9979 14.684 3.408 8 3 1 0 0.9908 0.9983 0.0000 13.906 3.178 8 3 30 5
5 0 0.9940 0.9982 0.0000 14.176 3.416 4 2 50 9 0.9887 0.9982 0.0000 16.249 3.508 4 2 76 6 5 0 0.9820 0.9983 0.0000 14.548 3.408 8 3 67 9 0.9893 0.9983 0.0000 14.013 3.216 8 3 30 5
6 0 0.9860 0.9982 0.0000 13.824 3.604 4 2 55 7 0.9883 0.9982 0.0000 15.902 3.522 4 2 76 6 6 0 0.9900 0.9983 0.0000 14.452 3.400 8 3 12 5 0.9894 0.9983 0.0000 14.075 3.242 8 3 30 5
7 0 0.9980 0.9983 0.9942 14.500 3.944 5 2 75 11 0.9895 0.9983 0.0000 15.727 3.575 5 2 76 6 7 0 0.9860 0.9988 0.0000 14.064 3.536 52 6 67 10 0.9890 0.9988 0.0000 14.074 3.279 52 6 30 5
8 0 0.9980 0.9983 0.9974 14.368 4.088 5 2 77 10 0.9904 0.9983 0.0000 15.576 3.632 5 2 76 6 8 0 0.9940 0.9988 0.0000 14.296 3.640 52 6 47 9 0.9895 0.9988 0.0000 14.099 3.319 52 6 30 5
9 0 0.9980 0.9983 0.9978 12.744 3.848 5 2 8 4 0.9912 0.9983 0.0000 15.293 3.653 5 2 76 6 9 0 0.9860 0.9988 0.0000 12.844 3.396 52 6 14 5 0.9892 0.9988 0.0000 13.973 3.327 52 6 30 5
10 0 0.9940 0.9988 0.0000 13.212 3.548 52 6 72 10 0.9896 0.9988 0.0000 13.904 3.347 52 6 30 5
11 0 0.9980 0.9988 0.9978 13.460 3.472 52 6 7 3 0.9903 0.9988 0.0000 13.867 3.357 52 6 30 5
12 0 0.9980 0.9988 0.9979 13.980 3.500 53 6 5 3 0.9909 0.9988 0.0000 13.876 3.368 53 6 30 5
13 0 0.9980 0.9988 0.9979 15.276 3.664 53 6 3 1 0.9914 0.9988 0.0000 13.976 3.389 53 6 30 5
14 0 0.9940 0.9988 0.0000 14.216 3.424 53 6 30 7 0.9916 0.9988 0.0000 13.992 3.392 53 6 30 5
15 0 0.9940 0.9988 0.0000 14.164 3.624 53 6 14 5 0.9917 0.9988 0.0000 14.002 3.406 53 6 30 5
16 0 0.9900 0.9988 0.0000 12.296 3.244 53 6 40 9 0.9916 0.9988 0.0000 13.902 3.397 53 6 30 5
17 0 0.9940 0.9988 0.0000 12.072 3.180 53 7 16 7 0.9918 0.9988 0.0000 13.800 3.385 53 7 30 5
18 0 0.9940 0.9988 0.0000 12.032 3.200 53 7 94 11 0.9919 0.9988 0.0000 13.707 3.375 53 7 30 5
19 0 0.9980 0.9988 0.9979 10.760 2.976 53 7 3 1 0.9922 0.9988 0.0000 13.560 3.355 53 7 30 5
20 0 0.9940 0.9988 0.0000 9.744 2.640 53 7 10 4 0.9923 0.9988 0.0000 13.378 3.321 53 7 30 5
21 0 0.9980 0.9988 0.9977 9.428 2.636 53 7 59 7 0.9925 0.9988 0.0000 13.199 3.290 53 7 30 5
22 0 0.9980 0.9988 0.9967 9.844 2.772 53 7 15 6 0.9928 0.9988 0.0000 13.053 3.267 53 7 30 5
23 0 0.9980 0.9988 0.9977 10.924 2.960 53 7 5 3 0.9930 0.9988 0.0000 12.964 3.255 53 7 30 5
24 0 0.9980 0.9988 0.9979 11.280 3.008 53 7 5 2 0.9932 0.9988 0.0000 12.897 3.245 53 7 30 5
25 0 0.9940 0.9988 0.0000 12.184 3.248 53 7 13 4 0.9932 0.9988 0.0000 12.869 3.245 53 7 30 5
26 0 0.9940 0.9988 0.0000 14.724 3.904 53 7 59 12 0.9932 0.9988 0.0000 12.938 3.269 53 7 30 5
27 0 0.9940 0.9988 0.0000 13.852 3.704 53 7 24 6 0.9933 0.9988 0.0000 12.971 3.285 53 7 30 5
28 0 0.9980 0.9988 0.9978 14.928 4.016 56 7 15 6 0.9934 0.9988 0.0000 13.038 3.310 56 7 30 5
29 0 0.9980 0.9988 0.9979 14.328 3.968 56 7 10 4 0.9936 0.9988 0.0000 13.081 3.332 56 7 30 5
30 0 0.9940 0.9988 0.0000 14.172 3.888 56 7 59 14 0.9936 0.9988 0.0000 13.116 3.350 56 7 30 5
31 0 0.9940 0.9988 0.0000 13.200 3.864 56 7 19 5 0.9936 0.9988 0.0000 13.119 3.366 56 7 30 5
32 0 0.9980 0.9988 0.9979 14.092 3.976 56 7 7 3 0.9937 0.9988 0.0000 13.148 3.384 56 7 30 5
33 0 0.9900 0.9988 0.0000 13.096 3.924 56 7 43 8 0.9936 0.9988 0.0000 13.147 3.400 56 7 30 5
34 0 0.9980 0.9988 0.9976 10.960 3.360 56 7 33 12 0.9938 0.9988 0.0000 13.084 3.399 56 7 30 5
35 0 0.9980 0.9988 0.9976 10.904 3.312 56 7 32 12 0.9939 0.9988 0.0000 13.024 3.397 56 7 30 5
36 0 0.9980 0.9988 0.9979 9.584 2.776 56 7 5 2 0.9940 0.9988 0.0000 12.931 3.380 56 7 30 5
37 0 0.9940 0.9988 0.0000 8.576 2.664 56 7 37 14 0.9940 0.9988 0.0000 12.816 3.361 56 7 30 5
38 0 0.9980 0.9988 0.9977 8.352 2.560 56 7 6 3 0.9941 0.9988 0.0000 12.702 3.341 56 7 30 5
39 0 0.9940 0.9988 0.0000 8.772 2.548 56 7 16 4 0.9941 0.9988 0.0000 12.604 3.321 56 7 30 5
40 0 0.9940 0.9988 0.0000 8.112 2.316 56 7 44 10 0.9941 0.9988 0.0000 12.494 3.296 56 7 30 5
41 0 0.9940 0.9988 0.0000 8.228 2.448 56 7 11 4 0.9941 0.9988 0.0000 12.392 3.276 56 7 30 5
42 0 0.9980 0.9988 0.9978 8.508 2.488 56 7 4 2 0.9942 0.9988 0.0000 12.302 3.258 56 7 30 5
43 0 0.9980 0.9988 0.9979 7.956 2.508 56 7 6 3 0.9943 0.9988 0.0000 12.203 3.241 56 7 30 5
44 0 0.9980 0.9988 0.9979 8.428 2.532 56 7 1 0 0.9943 0.9988 0.0000 12.119 3.225 56 7 30 5
45 0 0.9980 0.9988 0.9979 8.792 2.536 56 7 3 1 0.9944 0.9988 0.0000 12.047 3.210 56 7 30 5
46 0 0.9980 0.9988 0.9973 8.104 2.396 54 7 5 2 0.9945 0.9988 0.0000 11.963 3.193 54 7 30 5
47 0 0.9980 0.9988 0.9973 7.348 2.096 54 7 5 2 0.9946 0.9988 0.0000 11.867 3.170 54 7 30 5
48 0 0.9980 0.9988 0.9977 6.880 2.124 54 7 6 3 0.9946 0.9988 0.0000 11.765 3.148 54 7 30 5
49 0 0.9980 0.9988 0.9977 6.348 1.940 54 7 7 2 0.9947 0.9988 0.0000 11.657 3.124 54 7 30 5
50 0 0.9980 0.9988 0.9977 6.856 2.004 54 7 7 2 0.9948 0.9988 0.0000 11.563 3.102 54 7 30 5

152
cmake-build-relwithdebinfo/run_0/regress.sys
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@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 1984. no random number seed specfied; using 15.
creating initial population(s): creating initial population(s):
313 trees were generated to fill the population of 250 (250 trees). 329 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -52,3 +52,151 @@ no checkpointing will be done.
=== generation 9. === generation 9.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 4139462
freed: 4091462
not freed: 48000
max allocated: 206860
malloc'ed blocks: 46421
realloc'ed blocks: 7
free'ed blocks: 46415
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1143
freed: 1143
allocated: 1000
blocks: 1

27
cmake-build-relwithdebinfo/run_1/regress.bst
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@ -1,22 +1,21 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 0 generation: 11
nodes: 20 nodes: 9
depth: 4 depth: 5
hits: 572 hits: 721
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 572 hits: 721
raw fitness: 572.0000 raw fitness: 721.0000
standardized fitness: 572.0000 standardized fitness: 721.0000
adjusted fitness: 0.9983 adjusted fitness: 0.9986
TREE: TREE:
(/ (exp (- (- area major) (log (/ convex
(+ area perimeter))) (* minor
(* (log (exp perimeter)) (/ minor
(- (- -0.74710 minor) (exp -0.59814)))))
(+ perimeter extent))))
TREE-equ: TREE-equ:
y = (exp(((area - major) - (area + perimeter))) / (log(exp(perimeter)) * ((-0.74710 - minor) - (perimeter + extent)))) y = log((convex / (minor * (minor / exp(-0.59814)))))

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cmake-build-relwithdebinfo/run_1/regress.fn
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@ -1,16 +1,15 @@
Hits: 1789, Total Size: 2810, Percent Hit: 63.665480 Hits: 2165, Total Size: 2810, Percent Hit: 77.046263
CC: 123 CC: 638
CO: 1021 CO: 465
OO: 1666 OO: 1527
OC: 0 OC: 180
Fitness: 0.998255 Fitness: 0.998615
Hits: 572 Hits: 721
y = (exp(((area - major) - (area + perimeter))) / (log(exp(perimeter)) * ((-0.74710 - minor) - (perimeter + extent)))) y = log((convex / (minor * (minor / exp(-0.59814)))))
(/ (exp (- (- area major) (log (/ convex
(+ area perimeter))) (* minor
(* (log (exp perimeter)) (/ minor
(- (- -0.74710 minor) (exp -0.59814)))))
(+ perimeter extent))))

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@ -1,11 +1,52 @@
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
0 0 0.9581 0.9983 0.0000 17.072 3.200 20 4 37 5 0.9581 0.9983 0.0000 17.072 3.200 20 4 37 5 0 0 0.9741 0.9981 0.0000 17.220 3.244 81 6 54 6 0.9741 0.9981 0.0000 17.220 3.244 81 6 54 6
1 0 0.9940 0.9983 0.0000 14.452 3.228 20 4 62 8 0.9760 0.9983 0.0000 15.762 3.214 20 4 37 5 1 0 0.9941 0.9981 0.0000 17.380 3.440 81 6 50 5 0.9841 0.9981 0.0000 17.300 3.342 81 6 54 6
2 0 0.9860 0.9983 0.0000 13.412 3.180 20 4 21 5 0.9793 0.9983 0.0000 14.979 3.203 20 4 37 5 2 0 0.9901 0.9981 0.0000 16.556 3.336 81 6 31 8 0.9861 0.9981 0.0000 17.052 3.340 81 6 54 6
3 0 0.9980 0.9983 0.9979 13.744 3.192 20 4 35 6 0.9840 0.9983 0.0000 14.670 3.200 20 4 37 5 3 0 0.9901 0.9981 0.0000 15.212 3.124 81 6 137 11 0.9871 0.9981 0.0000 16.592 3.286 81 6 54 6
4 0 0.9940 0.9983 0.0000 12.400 3.072 20 4 79 9 0.9860 0.9983 0.0000 14.216 3.174 20 4 37 5 4 0 0.9901 0.9981 0.0000 12.984 2.996 81 6 51 8 0.9877 0.9981 0.0000 15.870 3.228 81 6 54 6
5 0 0.9940 0.9983 0.0000 11.408 3.040 20 4 81 10 0.9873 0.9983 0.0000 13.748 3.152 20 4 37 5 5 0 0.9981 0.9981 0.9979 12.076 3.076 81 6 3 1 0.9894 0.9981 0.0000 15.238 3.203 81 6 54 6
6 0 0.9900 0.9983 0.0000 11.536 3.212 20 4 9 4 0.9877 0.9983 0.0000 13.432 3.161 20 4 37 5 6 0 0.9941 0.9983 0.0000 10.224 2.876 33 6 35 8 0.9901 0.9983 0.0000 14.522 3.156 33 6 54 6
7 0 0.9940 0.9983 0.0000 11.780 3.380 20 4 14 5 0.9885 0.9983 0.0000 13.226 3.188 20 4 37 5 7 0 0.9941 0.9983 0.0000 9.952 2.788 33 6 57 9 0.9906 0.9983 0.0000 13.950 3.110 33 6 54 6
8 0 0.9900 0.9983 0.0000 9.584 2.948 20 4 39 10 0.9887 0.9983 0.0000 12.821 3.161 20 4 37 5 8 0 0.9941 0.9983 0.0000 10.980 2.988 33 6 15 6 0.9910 0.9983 0.0000 13.620 3.096 33 6 54 6
9 0 0.9980 0.9983 0.9972 8.304 2.748 20 4 12 4 0.9896 0.9983 0.0000 12.369 3.120 20 4 37 5 9 0 0.9981 0.9984 0.9979 10.560 2.996 32 6 7 3 0.9917 0.9984 0.0000 13.314 3.086 32 6 54 6
10 0 0.9941 0.9984 0.0000 9.340 2.804 32 6 65 6 0.9919 0.9984 0.0000 12.953 3.061 32 6 54 6
11 0 0.9981 0.9986 0.9979 8.780 2.752 9 5 4 2 0.9924 0.9986 0.0000 12.605 3.035 9 5 54 6
12 0 0.9981 0.9986 0.9979 8.504 2.864 9 5 10 6 0.9928 0.9986 0.0000 12.290 3.022 9 5 54 6
13 0 0.9941 0.9986 0.0000 8.352 2.796 9 5 17 7 0.9929 0.9986 0.0000 12.009 3.006 9 5 54 6
14 0 0.9941 0.9986 0.0000 8.632 3.004 9 5 48 8 0.9930 0.9986 0.0000 11.783 3.006 9 5 54 6
15 0 0.9981 0.9986 0.9973 8.348 2.996 9 5 44 10 0.9933 0.9986 0.0000 11.569 3.005 9 5 54 6
16 0 0.9981 0.9986 0.9979 7.532 2.760 9 5 16 7 0.9936 0.9986 0.0000 11.331 2.991 9 5 54 6
17 0 0.9981 0.9986 0.9979 7.316 2.684 9 5 2 1 0.9939 0.9986 0.0000 11.108 2.974 9 5 54 6
18 0 0.9981 0.9986 0.9979 6.316 2.468 9 5 23 8 0.9941 0.9986 0.0000 10.856 2.947 9 5 54 6
19 0 0.9981 0.9986 0.9979 5.988 2.440 9 5 5 2 0.9943 0.9986 0.0000 10.613 2.922 9 5 54 6
20 0 0.9981 0.9986 0.9963 5.900 2.444 9 5 12 5 0.9945 0.9986 0.0000 10.388 2.899 9 5 54 6
21 0 0.9981 0.9986 0.9979 5.884 2.448 9 5 10 5 0.9946 0.9986 0.0000 10.183 2.878 9 5 54 6
22 0 0.9981 0.9986 0.9977 5.696 2.332 9 5 5 2 0.9948 0.9986 0.0000 9.988 2.855 9 5 54 6
23 0 0.9981 0.9986 0.9979 5.920 2.372 9 5 9 4 0.9949 0.9986 0.0000 9.819 2.834 9 5 54 6
24 0 0.9981 0.9986 0.9979 5.672 2.264 9 5 4 2 0.9950 0.9986 0.0000 9.653 2.812 9 5 54 6
25 0 0.9941 0.9986 0.0000 5.024 2.020 9 5 15 4 0.9950 0.9986 0.0000 9.475 2.781 9 5 54 6
26 0 0.9941 0.9986 0.0000 5.168 2.072 9 5 9 4 0.9950 0.9986 0.0000 9.315 2.755 9 5 54 6
27 0 0.9981 0.9986 0.9969 4.528 1.756 9 5 10 4 0.9951 0.9986 0.0000 9.144 2.719 9 5 54 6
28 0 0.9981 0.9986 0.9979 4.960 1.944 9 5 5 2 0.9952 0.9986 0.0000 9.000 2.693 9 5 54 6
29 0 0.9981 0.9986 0.9979 4.932 1.988 9 5 6 3 0.9953 0.9986 0.0000 8.865 2.669 9 5 54 6
30 0 0.9941 0.9986 0.0000 5.044 2.024 9 5 9 5 0.9952 0.9986 0.0000 8.741 2.648 9 5 54 6
31 0 0.9981 0.9986 0.9976 4.680 1.920 9 5 14 6 0.9953 0.9986 0.0000 8.614 2.626 9 5 54 6
32 0 0.9941 0.9986 0.0000 5.008 2.116 9 5 15 4 0.9953 0.9986 0.0000 8.505 2.610 9 5 54 6
33 0 0.9981 0.9986 0.9979 4.756 1.972 9 5 1 0 0.9954 0.9986 0.0000 8.395 2.591 9 5 54 6
34 0 0.9981 0.9986 0.9979 4.964 2.028 9 5 10 5 0.9954 0.9986 0.0000 8.297 2.575 9 5 54 6
35 0 0.9981 0.9986 0.9979 4.992 2.060 9 5 3 1 0.9955 0.9986 0.0000 8.205 2.561 9 5 54 6
36 0 0.9981 0.9986 0.9979 4.668 1.844 9 5 8 4 0.9956 0.9986 0.0000 8.109 2.542 9 5 54 6
37 0 0.9981 0.9986 0.9976 4.424 1.692 9 5 7 4 0.9957 0.9986 0.0000 8.012 2.519 9 5 54 6
38 0 0.9981 0.9986 0.9979 4.712 1.776 9 5 12 4 0.9957 0.9986 0.0000 7.928 2.500 9 5 54 6
39 0 0.9941 0.9986 0.0000 4.916 1.860 9 5 6 3 0.9957 0.9986 0.0000 7.853 2.484 9 5 54 6
40 0 0.9981 0.9986 0.9979 4.676 1.712 9 5 7 4 0.9957 0.9986 0.0000 7.775 2.465 9 5 54 6
41 0 0.9981 0.9986 0.9979 4.676 1.660 9 5 3 1 0.9958 0.9986 0.0000 7.701 2.446 9 5 54 6
42 0 0.9981 0.9986 0.9979 4.308 1.564 9 5 6 3 0.9958 0.9986 0.0000 7.622 2.426 9 5 54 6
43 0 0.9981 0.9986 0.9979 4.584 1.688 9 5 5 2 0.9959 0.9986 0.0000 7.553 2.409 9 5 54 6
44 0 0.9981 0.9986 0.9979 4.612 1.660 9 5 3 1 0.9959 0.9986 0.0000 7.488 2.392 9 5 54 6
45 0 0.9981 0.9986 0.9979 4.660 1.704 9 5 2 1 0.9960 0.9986 0.0000 7.426 2.377 9 5 54 6
46 0 0.9981 0.9986 0.9979 4.728 1.708 9 5 3 1 0.9960 0.9986 0.0000 7.369 2.363 9 5 54 6
47 0 0.9981 0.9986 0.9979 4.968 1.896 9 5 12 4 0.9961 0.9986 0.0000 7.319 2.353 9 5 54 6
48 0 0.9981 0.9986 0.9979 4.756 1.848 9 5 12 6 0.9961 0.9986 0.0000 7.267 2.343 9 5 54 6
49 0 0.9981 0.9986 0.9977 4.752 1.956 9 5 11 5 0.9962 0.9986 0.0000 7.216 2.335 9 5 54 6
50 0 0.9981 0.9986 0.9977 4.416 1.812 9 5 9 4 0.9962 0.9986 0.0000 7.161 2.325 9 5 54 6

152
cmake-build-relwithdebinfo/run_1/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 95. no random number seed specfied; using 216.
creating initial population(s): creating initial population(s):
331 trees were generated to fill the population of 250 (250 trees). 327 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -52,3 +52,151 @@ no checkpointing will be done.
=== generation 9. === generation 9.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 3146240
freed: 3098240
not freed: 48000
max allocated: 216949
malloc'ed blocks: 46773
realloc'ed blocks: 7
free'ed blocks: 46767
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1120
freed: 1120
allocated: 1000
blocks: 1

31
cmake-build-relwithdebinfo/run_2/regress.bst
View File

@ -1,29 +1,18 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 11 generation: 27
nodes: 43 nodes: 6
depth: 6 depth: 3
hits: 778 hits: 723
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 778 hits: 723
raw fitness: 778.0000 raw fitness: 723.0000
standardized fitness: 778.0000 standardized fitness: 723.0000
adjusted fitness: 0.9987 adjusted fitness: 0.9986
TREE: TREE:
(- (/ (+ (* (/ (+ extent major) (+ (+ (log eccentricity) eccentricity) -0.74410)
(/ extent extent))
(log (log major)))
(log (/ -0.94285
(+ extent convex))))
(/ (+ (* (+ minor extent)
(log minor))
(log (/ area minor)))
(+ (* eccentricity
(log minor))
(exp (+ extent -0.03985)))))
(log minor))
TREE-equ: TREE-equ:
y = ((((((extent + major) / (extent / extent)) * log(log(major))) + log((-0.94285 / (extent + convex)))) / ((((minor + extent) * log(minor)) + log((area / minor))) / ((eccentricity * log(minor)) + exp((extent + -0.03985))))) - log(minor)) y = ((log(eccentricity) + eccentricity) + -0.74410)

29
cmake-build-relwithdebinfo/run_2/regress.fn
View File

@ -1,23 +1,12 @@
Hits: 2076, Total Size: 2810, Percent Hit: 73.879004 Hits: 1928, Total Size: 2810, Percent Hit: 68.612100
CC: 931 CC: 1084
CO: 205 CO: 47
OO: 1145 OO: 844
OC: 529 OC: 835
Fitness: 0.998716 Fitness: 0.998619
Hits: 778 Hits: 723
y = ((((((extent + major) / (extent / extent)) * log(log(major))) + log((-0.94285 / (extent + convex)))) / ((((minor + extent) * log(minor)) + log((area / minor))) / ((eccentricity * log(minor)) + exp((extent + -0.03985))))) - log(minor)) y = ((log(eccentricity) + eccentricity) + -0.74410)
(- (/ (+ (* (/ (+ extent major) (+ (+ (log eccentricity) eccentricity) -0.74410)
(/ extent extent))
(log (log major)))
(log (/ -0.94285
(+ extent convex))))
(/ (+ (* (+ minor extent)
(log minor))
(log (/ area minor)))
(+ (* eccentricity
(log minor))
(exp (+ extent -0.03985)))))
(log minor))

1161
cmake-build-relwithdebinfo/run_2/regress.his
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File diff suppressed because it is too large Load Diff

1986
cmake-build-relwithdebinfo/run_2/regress.prg
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File diff suppressed because it is too large Load Diff

71
cmake-build-relwithdebinfo/run_2/regress.stt
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@ -1,21 +1,52 @@
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
0 0 0.9541 0.9985 0.0000 17.824 3.152 24 5 49 6 0.9541 0.9985 0.0000 17.824 3.152 24 5 49 6 0 0 0.9701 0.9980 0.0000 16.064 3.148 1 0 29 5 0.9701 0.9980 0.0000 16.064 3.148 1 0 29 5
1 0 0.9900 0.9985 0.0000 15.496 3.148 24 5 59 10 0.9720 0.9985 0.0000 16.660 3.150 24 5 49 6 1 0 0.9940 0.9980 0.0000 16.072 3.444 1 0 27 6 0.9820 0.9980 0.0000 16.068 3.296 1 0 29 5
2 0 0.9980 0.9985 0.9980 15.792 3.336 24 5 18 6 0.9807 0.9985 0.0000 16.371 3.212 24 5 49 6 2 0 0.9900 0.9980 0.0000 14.428 3.468 1 0 64 7 0.9847 0.9980 0.0000 15.521 3.353 1 0 29 5
3 0 0.9980 0.9985 0.9978 17.336 3.560 24 5 47 6 0.9850 0.9985 0.0000 16.612 3.299 24 5 49 6 3 0 0.9980 0.9980 0.9980 16.084 3.780 1 0 9 3 0.9880 0.9980 0.0000 15.662 3.460 1 0 29 5
4 0 0.9860 0.9985 0.0000 16.284 3.668 24 5 16 6 0.9852 0.9985 0.0000 16.546 3.373 24 5 49 6 4 0 0.9860 0.9980 0.0000 14.852 3.708 1 0 59 8 0.9876 0.9980 0.0000 15.500 3.510 1 0 29 5
5 0 0.9900 0.9985 0.0000 14.760 3.616 24 5 44 6 0.9860 0.9985 0.0000 16.249 3.413 24 5 49 6 5 0 0.9980 0.9980 0.9980 13.548 3.644 1 0 7 4 0.9894 0.9980 0.0000 15.175 3.532 1 0 29 5
6 0 0.9980 0.9985 0.9980 15.412 3.840 24 5 5 2 0.9877 0.9985 0.0000 16.129 3.474 24 5 49 6 6 0 0.9900 0.9980 0.0000 13.412 3.752 1 0 16 6 0.9894 0.9980 0.0000 14.923 3.563 1 0 29 5
7 0 0.9980 0.9986 0.9980 16.388 4.192 45 6 7 2 0.9890 0.9986 0.0000 16.162 3.564 45 6 49 6 7 0 0.9900 0.9982 0.0000 14.464 3.872 7 4 26 6 0.9895 0.9982 0.0000 14.866 3.602 7 4 29 5
8 0 0.9940 0.9986 0.0000 16.372 4.256 45 6 47 13 0.9896 0.9986 0.0000 16.185 3.641 45 6 49 6 8 0 0.9860 0.9982 0.0000 15.792 4.328 7 4 15 6 0.9891 0.9982 0.0000 14.968 3.683 7 4 29 5
9 0 0.9980 0.9986 0.9975 16.404 4.108 45 6 18 6 0.9904 0.9986 0.0000 16.207 3.688 45 6 49 6 9 0 0.9860 0.9982 0.0000 13.608 3.952 7 4 16 5 0.9888 0.9982 0.0000 14.832 3.710 7 4 29 5
10 0 0.9900 0.9986 0.0000 16.132 4.072 45 6 36 7 0.9904 0.9986 0.0000 16.200 3.723 45 6 49 6 10 0 0.9820 0.9982 0.0000 11.572 3.584 7 4 103 15 0.9882 0.9982 0.0000 14.536 3.698 7 4 29 5
11 0 0.9900 0.9987 0.0000 16.036 3.944 43 6 36 7 0.9903 0.9987 0.0000 16.186 3.741 43 6 49 6 11 0 0.9900 0.9984 0.0000 10.368 3.260 23 5 14 6 0.9884 0.9984 0.0000 14.189 3.662 23 5 29 5
12 0 0.9980 0.9987 0.9979 16.724 3.976 43 6 9 4 0.9909 0.9987 0.0000 16.228 3.759 43 6 49 6 12 0 0.9980 0.9984 0.9979 9.876 3.152 23 5 26 9 0.9891 0.9984 0.0000 13.857 3.622 23 5 29 5
13 0 0.9940 0.9987 0.0000 17.024 4.012 43 6 46 8 0.9912 0.9987 0.0000 16.285 3.777 43 6 49 6 13 0 0.9940 0.9984 0.0000 9.576 3.120 23 5 45 12 0.9894 0.9984 0.0000 13.551 3.587 23 5 29 5
14 0 0.9980 0.9987 0.9971 14.416 3.744 43 6 21 6 0.9916 0.9987 0.0000 16.160 3.775 43 6 49 6 14 0 0.9900 0.9984 0.0000 8.704 2.980 23 5 70 12 0.9895 0.9984 0.0000 13.228 3.546 23 5 29 5
15 0 0.9900 0.9987 0.0000 16.656 4.316 43 6 66 10 0.9915 0.9987 0.0000 16.191 3.809 43 6 49 6 15 0 0.9940 0.9984 0.0000 8.968 3.236 23 5 25 10 0.9898 0.9984 0.0000 12.962 3.527 23 5 29 5
16 0 0.9980 0.9987 0.9977 15.288 4.232 43 6 6 3 0.9919 0.9987 0.0000 16.138 3.834 43 6 49 6 16 0 0.9980 0.9984 0.9979 9.200 3.424 23 5 4 3 0.9903 0.9984 0.0000 12.740 3.521 23 5 29 5
17 0 0.9980 0.9987 0.9977 15.060 4.040 43 6 9 4 0.9922 0.9987 0.0000 16.078 3.845 43 6 49 6 17 0 0.9980 0.9984 0.9980 9.316 3.308 23 5 1 0 0.9907 0.9984 0.0000 12.550 3.509 23 5 29 5
18 0 0.9980 0.9987 0.9978 13.916 3.608 43 6 72 14 0.9925 0.9987 0.0000 15.964 3.833 43 6 49 6 18 0 0.9900 0.9984 0.0000 9.036 3.216 23 5 83 17 0.9906 0.9984 0.0000 12.365 3.493 23 5 29 5
19 0 0.9980 0.9987 0.9978 14.584 3.616 43 6 72 14 0.9928 0.9987 0.0000 15.895 3.822 43 6 49 6 19 0 0.9900 0.9984 0.0000 6.864 2.640 23 5 10 5 0.9906 0.9984 0.0000 12.090 3.451 23 5 29 5
20 0 0.9980 0.9984 0.9967 6.040 2.368 23 5 6 3 0.9910 0.9984 0.0000 11.802 3.399 23 5 29 5
21 0 0.9940 0.9984 0.0000 5.552 2.280 23 5 12 6 0.9911 0.9984 0.0000 11.518 3.348 23 5 29 5
22 0 0.9980 0.9984 0.9980 5.516 2.240 23 5 4 2 0.9914 0.9984 0.0000 11.257 3.300 23 5 29 5
23 0 0.9980 0.9984 0.9980 5.600 2.180 23 5 2 1 0.9917 0.9984 0.0000 11.021 3.253 23 5 29 5
24 0 0.9980 0.9984 0.9980 5.592 2.136 23 5 9 4 0.9919 0.9984 0.0000 10.804 3.209 23 5 29 5
25 0 0.9940 0.9984 0.0000 6.528 2.480 23 5 17 8 0.9920 0.9984 0.0000 10.640 3.181 23 5 29 5
26 0 0.9980 0.9984 0.9977 6.436 2.508 23 5 5 3 0.9922 0.9984 0.0000 10.484 3.156 23 5 29 5
27 0 0.9980 0.9986 0.9979 6.472 2.504 6 3 8 4 0.9924 0.9986 0.0000 10.341 3.133 6 3 29 5
28 0 0.9980 0.9986 0.9980 6.484 2.548 6 3 2 1 0.9926 0.9986 0.0000 10.208 3.112 6 3 29 5
29 0 0.9980 0.9986 0.9980 6.828 2.532 6 3 10 4 0.9928 0.9986 0.0000 10.095 3.093 6 3 29 5
30 0 0.9980 0.9986 0.9977 6.808 2.468 6 3 8 5 0.9930 0.9986 0.0000 9.989 3.073 6 3 29 5
31 0 0.9980 0.9986 0.9980 6.388 2.440 6 3 5 2 0.9931 0.9986 0.0000 9.877 3.053 6 3 29 5
32 0 0.9980 0.9986 0.9980 5.964 2.416 6 3 7 2 0.9933 0.9986 0.0000 9.758 3.034 6 3 29 5
33 0 0.9980 0.9986 0.9980 6.116 2.356 6 3 3 1 0.9934 0.9986 0.0000 9.651 3.014 6 3 29 5
34 0 0.9980 0.9986 0.9977 5.768 2.312 6 3 9 4 0.9936 0.9986 0.0000 9.540 2.994 6 3 29 5
35 0 0.9940 0.9986 0.0000 6.100 2.320 6 3 15 5 0.9936 0.9986 0.0000 9.444 2.975 6 3 29 5
36 0 0.9980 0.9986 0.9980 5.736 2.080 6 3 13 4 0.9937 0.9986 0.0000 9.344 2.951 6 3 29 5
37 0 0.9980 0.9986 0.9974 6.164 2.268 6 3 20 8 0.9938 0.9986 0.0000 9.260 2.933 6 3 29 5
38 0 0.9980 0.9986 0.9977 6.060 2.284 6 3 8 4 0.9939 0.9986 0.0000 9.178 2.916 6 3 29 5
39 0 0.9980 0.9986 0.9978 6.256 2.292 6 3 6 4 0.9940 0.9986 0.0000 9.105 2.901 6 3 29 5
40 0 0.9980 0.9986 0.9967 5.836 2.124 6 3 7 2 0.9941 0.9986 0.0000 9.026 2.882 6 3 29 5
41 0 0.9980 0.9986 0.9980 6.056 2.128 6 3 5 2 0.9942 0.9986 0.0000 8.955 2.864 6 3 29 5
42 0 0.9980 0.9986 0.9980 5.140 1.896 6 3 1 0 0.9943 0.9986 0.0000 8.866 2.841 6 3 29 5
43 0 0.9980 0.9986 0.9980 5.052 1.768 6 3 2 1 0.9944 0.9986 0.0000 8.779 2.817 6 3 29 5
44 0 0.9980 0.9986 0.9980 5.120 1.868 6 3 11 5 0.9945 0.9986 0.0000 8.698 2.796 6 3 29 5
45 0 0.9980 0.9986 0.9980 5.012 1.836 6 3 6 4 0.9945 0.9986 0.0000 8.618 2.775 6 3 29 5
46 0 0.9980 0.9986 0.9977 5.584 2.024 6 3 4 2 0.9946 0.9986 0.0000 8.553 2.759 6 3 29 5
47 0 0.9980 0.9986 0.9980 5.860 2.092 6 3 1 0 0.9947 0.9986 0.0000 8.497 2.745 6 3 29 5
48 0 0.9940 0.9986 0.0000 6.008 2.096 6 3 11 4 0.9947 0.9986 0.0000 8.447 2.732 6 3 29 5
49 0 0.9980 0.9986 0.9976 5.580 1.944 6 3 7 3 0.9947 0.9986 0.0000 8.389 2.716 6 3 29 5
50 0 0.9980 0.9986 0.9976 5.336 1.956 6 3 8 3 0.9948 0.9986 0.0000 8.329 2.701 6 3 29 5

122
cmake-build-relwithdebinfo/run_2/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 63. no random number seed specfied; using 1334.
creating initial population(s): creating initial population(s):
342 trees were generated to fill the population of 250 (250 trees). 321 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -82,3 +82,121 @@ no checkpointing will be done.
=== generation 19. === generation 19.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 3422413
freed: 3374413
not freed: 48000
max allocated: 211230
malloc'ed blocks: 46571
realloc'ed blocks: 7
free'ed blocks: 46565
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1124
freed: 1124
allocated: 1000
blocks: 1

28
cmake-build-relwithdebinfo/run_3/regress.bst
View File

@ -1,23 +1,21 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 0 generation: 44
nodes: 24 nodes: 15
depth: 5 depth: 4
hits: 573 hits: 765
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 573 hits: 765
raw fitness: 573.0000 raw fitness: 765.0000
standardized fitness: 573.0000 standardized fitness: 765.0000
adjusted fitness: 0.9983 adjusted fitness: 0.9987
TREE: TREE:
(* (log (log (* (log eccentricity) (/ (- (* 0.00059 area) eccentricity)
(exp eccentricity)))) (* minor
(log (- (* (+ major eccentricity) (* (+ -0.88763 eccentricity)
(+ perimeter major)) (/ convex extent))))
(/ (/ major eccentricity)
(/ perimeter convex)))))
TREE-equ: TREE-equ:
y = (log(log((log(eccentricity) * exp(eccentricity)))) * log((((major + eccentricity) * (perimeter + major)) - ((major / eccentricity) / (perimeter / convex))))) y = (((0.00059 * area) - eccentricity) / (minor * ((-0.88763 + eccentricity) * (convex / extent))))

26
cmake-build-relwithdebinfo/run_3/regress.fn
View File

@ -1,17 +1,15 @@
Hits: 1315, Total Size: 2810, Percent Hit: 46.797153 Hits: 2200, Total Size: 2810, Percent Hit: 78.291815
CC: 1112 CC: 1004
CO: 6 CO: 161
OO: 203 OO: 1196
OC: 1489 OC: 449
Fitness: 0.998258 Fitness: 0.998695
Hits: 573 Hits: 765
y = (log(log((log(eccentricity) * exp(eccentricity)))) * log((((major + eccentricity) * (perimeter + major)) - ((major / eccentricity) / (perimeter / convex))))) y = (((0.00059 * area) - eccentricity) / (minor * ((-0.88763 + eccentricity) * (convex / extent))))
(* (log (log (* (log eccentricity) (/ (- (* 0.00059 area) eccentricity)
(exp eccentricity)))) (* minor
(log (- (* (+ major eccentricity) (* (+ -0.88763 eccentricity)
(+ perimeter major)) (/ convex extent))))
(/ (/ major eccentricity)
(/ perimeter convex)))))

979
cmake-build-relwithdebinfo/run_3/regress.his
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1980
cmake-build-relwithdebinfo/run_3/regress.prg
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61
cmake-build-relwithdebinfo/run_3/regress.stt
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@ -1,11 +1,52 @@
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
0 0 0.9541 0.9983 0.0000 15.944 3.136 24 5 57 6 0.9541 0.9983 0.0000 15.944 3.136 24 5 57 6 0 0 0.9620 0.9981 0.0000 16.500 3.192 11 3 43 5 0.9620 0.9981 0.0000 16.500 3.192 11 3 43 5
1 0 0.9940 0.9983 0.0000 11.912 3.024 24 5 11 4 0.9741 0.9983 0.0000 13.928 3.080 24 5 57 6 1 0 0.9979 0.9981 0.9968 13.676 2.980 11 3 22 5 0.9800 0.9981 0.0000 15.088 3.086 11 3 43 5
2 0 0.9980 0.9983 0.9977 11.800 3.068 24 5 4 2 0.9821 0.9983 0.0000 13.219 3.076 24 5 57 6 2 0 0.9899 0.9981 0.0000 11.996 2.972 11 3 76 8 0.9833 0.9981 0.0000 14.057 3.048 11 3 43 5
3 0 0.9980 0.9983 0.9977 11.508 2.956 24 5 28 6 0.9861 0.9983 0.0000 12.791 3.046 24 5 57 6 3 0 0.9979 0.9982 0.9968 10.372 2.852 11 5 23 5 0.9869 0.9982 0.0000 13.136 2.999 11 5 43 5
4 0 0.9940 0.9983 0.0000 10.432 3.076 24 5 18 7 0.9876 0.9983 0.0000 12.319 3.052 24 5 57 6 4 0 0.9939 0.9982 0.0000 10.440 2.984 11 5 12 5 0.9883 0.9982 0.0000 12.597 2.996 11 5 43 5
5 0 0.9980 0.9983 0.9980 10.772 3.200 24 5 2 1 0.9894 0.9983 0.0000 12.061 3.077 24 5 57 6 5 0 0.9979 0.9982 0.9979 10.944 3.224 11 5 1 0 0.9899 0.9982 0.0000 12.321 3.034 11 5 43 5
6 0 0.9980 0.9983 0.9980 10.808 3.180 24 5 3 1 0.9906 0.9983 0.0000 11.882 3.091 24 5 57 6 6 0 0.9899 0.9982 0.0000 11.200 3.408 11 5 20 5 0.9899 0.9982 0.0000 12.161 3.087 11 5 43 5
7 0 0.9901 0.9983 0.0000 11.224 3.116 24 5 51 8 0.9905 0.9983 0.0000 11.800 3.095 24 5 57 6 7 0 0.9979 0.9982 0.9979 10.904 3.204 11 5 5 2 0.9909 0.9982 0.0000 12.004 3.102 11 5 43 5
8 0 0.9940 0.9983 0.0000 10.760 3.084 24 5 109 12 0.9909 0.9983 0.0000 11.684 3.093 24 5 57 6 8 0 0.9939 0.9982 0.0000 9.488 2.972 11 5 20 8 0.9913 0.9982 0.0000 11.724 3.088 11 5 43 5
9 0 0.9980 0.9983 0.9980 9.084 2.760 24 5 2 1 0.9916 0.9983 0.0000 11.424 3.060 24 5 57 6 9 0 0.9979 0.9982 0.9979 7.724 2.708 11 5 14 7 0.9919 0.9982 0.0000 11.324 3.050 11 5 43 5
10 0 0.9939 0.9982 0.0000 6.908 2.584 11 5 18 5 0.9921 0.9982 0.0000 10.923 3.007 11 5 43 5
11 0 0.9939 0.9982 0.0000 6.648 2.560 11 5 27 10 0.9923 0.9982 0.0000 10.567 2.970 11 5 43 5
12 0 0.9979 0.9987 0.9979 6.768 2.500 3 1 2 1 0.9927 0.9987 0.0000 10.274 2.934 3 1 43 5
13 0 0.9979 0.9987 0.9978 7.788 2.864 3 1 11 4 0.9931 0.9987 0.0000 10.097 2.929 3 1 43 5
14 0 0.9939 0.9987 0.0000 7.480 2.840 3 1 17 8 0.9931 0.9987 0.0000 9.922 2.923 3 1 43 5
15 0 0.9979 0.9987 0.9979 7.088 2.788 3 1 3 1 0.9934 0.9987 0.0000 9.745 2.914 3 1 43 5
16 0 0.9979 0.9987 0.9978 6.792 2.724 3 1 7 3 0.9937 0.9987 0.0000 9.572 2.903 3 1 43 5
17 0 0.9979 0.9987 0.9979 6.348 2.544 3 1 14 8 0.9939 0.9987 0.0000 9.392 2.883 3 1 43 5
18 0 0.9979 0.9987 0.9975 5.896 2.360 3 1 5 2 0.9941 0.9987 0.0000 9.208 2.856 3 1 43 5
19 0 0.9979 0.9987 0.9979 5.788 2.312 3 1 4 2 0.9943 0.9987 0.0000 9.037 2.829 3 1 43 5
20 0 0.9979 0.9987 0.9979 4.988 2.056 3 1 2 1 0.9945 0.9987 0.0000 8.845 2.792 3 1 43 5
21 0 0.9979 0.9987 0.9979 4.828 1.976 3 1 1 0 0.9947 0.9987 0.0000 8.662 2.755 3 1 43 5
22 0 0.9979 0.9987 0.9979 5.204 2.084 3 1 2 1 0.9948 0.9987 0.0000 8.512 2.726 3 1 43 5
23 0 0.9979 0.9987 0.9979 5.144 2.024 3 1 13 6 0.9949 0.9987 0.0000 8.371 2.696 3 1 43 5
24 0 0.9979 0.9987 0.9979 5.104 1.996 3 1 3 1 0.9950 0.9987 0.0000 8.241 2.668 3 1 43 5
25 0 0.9979 0.9987 0.9979 5.588 2.148 3 1 3 1 0.9952 0.9987 0.0000 8.139 2.648 3 1 43 5
26 0 0.9979 0.9987 0.9979 5.032 2.040 3 1 4 2 0.9953 0.9987 0.0000 8.024 2.626 3 1 43 5
27 0 0.9979 0.9987 0.9979 5.292 2.128 3 1 3 1 0.9954 0.9987 0.0000 7.926 2.608 3 1 43 5
28 0 0.9979 0.9987 0.9979 4.860 1.936 3 1 3 1 0.9954 0.9987 0.0000 7.820 2.585 3 1 43 5
29 0 0.9979 0.9987 0.9979 4.904 1.972 3 1 1 0 0.9955 0.9987 0.0000 7.723 2.564 3 1 43 5
30 0 0.9979 0.9987 0.9979 4.568 1.804 3 1 7 2 0.9956 0.9987 0.0000 7.621 2.540 3 1 43 5
31 0 0.9979 0.9987 0.9979 4.508 1.800 3 1 6 3 0.9957 0.9987 0.0000 7.524 2.517 3 1 43 5
32 0 0.9979 0.9987 0.9979 4.872 1.968 3 1 3 2 0.9957 0.9987 0.0000 7.444 2.500 3 1 43 5
33 0 0.9979 0.9987 0.9978 5.032 2.088 3 1 8 3 0.9958 0.9987 0.0000 7.373 2.488 3 1 43 5
34 0 0.9979 0.9987 0.9979 5.124 2.096 3 1 1 0 0.9959 0.9987 0.0000 7.308 2.477 3 1 43 5
35 0 0.9939 0.9987 0.0000 5.148 2.028 3 1 17 6 0.9958 0.9987 0.0000 7.248 2.464 3 1 43 5
36 0 0.9979 0.9987 0.9978 4.948 1.880 3 1 8 3 0.9959 0.9987 0.0000 7.186 2.449 3 1 43 5
37 0 0.9979 0.9987 0.9978 4.952 1.952 3 1 6 2 0.9959 0.9987 0.0000 7.127 2.435 3 1 43 5
38 0 0.9979 0.9987 0.9979 4.840 1.956 3 1 8 4 0.9960 0.9987 0.0000 7.069 2.423 3 1 43 5
39 0 0.9979 0.9987 0.9976 4.828 1.940 3 1 11 6 0.9960 0.9987 0.0000 7.013 2.411 3 1 43 5
40 0 0.9979 0.9987 0.9976 4.260 1.612 3 1 10 3 0.9961 0.9987 0.0000 6.946 2.392 3 1 43 5
41 0 0.9979 0.9987 0.9979 4.204 1.672 3 1 1 0 0.9961 0.9987 0.0000 6.880 2.374 3 1 43 5
42 0 0.9979 0.9987 0.9979 3.940 1.528 3 1 1 0 0.9962 0.9987 0.0000 6.812 2.355 3 1 43 5
43 0 0.9979 0.9987 0.9979 3.796 1.452 3 1 3 1 0.9962 0.9987 0.0000 6.743 2.334 3 1 43 5
44 0 0.9979 0.9987 0.9979 4.264 1.612 15 4 3 1 0.9962 0.9987 0.0000 6.688 2.318 15 4 43 5
45 0 0.9939 0.9987 0.0000 4.496 1.736 15 4 11 4 0.9962 0.9987 0.0000 6.641 2.306 15 4 43 5
46 0 0.9979 0.9987 0.9977 4.788 1.896 15 4 7 3 0.9962 0.9987 0.0000 6.601 2.297 15 4 43 5
47 0 0.9979 0.9987 0.9979 4.960 1.880 15 4 1 0 0.9963 0.9987 0.0000 6.567 2.288 15 4 43 5
48 0 0.9979 0.9987 0.9979 4.604 1.712 15 4 8 4 0.9963 0.9987 0.0000 6.527 2.276 15 4 43 5
49 0 0.9939 0.9987 0.0000 4.148 1.592 15 4 24 8 0.9962 0.9987 0.0000 6.479 2.263 15 4 43 5
50 0 0.9979 0.9987 0.9958 3.764 1.408 15 4 9 4 0.9963 0.9987 0.0000 6.426 2.246 15 4 43 5

152
cmake-build-relwithdebinfo/run_3/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 991. no random number seed specfied; using 466.
creating initial population(s): creating initial population(s):
323 trees were generated to fill the population of 250 (250 trees). 332 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -52,3 +52,151 @@ no checkpointing will be done.
=== generation 9. === generation 9.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 2978548
freed: 2930548
not freed: 48000
max allocated: 206789
malloc'ed blocks: 46487
realloc'ed blocks: 6
free'ed blocks: 46481
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 100
space 1 size: 100
------- ephemeral random constants -------
used: 1098
freed: 1098
allocated: 1000
blocks: 1

35
cmake-build-relwithdebinfo/run_4/regress.bst
View File

@ -1,26 +1,29 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 4 generation: 4
nodes: 38 nodes: 52
depth: 8 depth: 8
hits: 532 hits: 720
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 532 hits: 720
raw fitness: 532.0000 raw fitness: 720.0000
standardized fitness: 532.0000 standardized fitness: 720.0000
adjusted fitness: 0.9981 adjusted fitness: 0.9986
TREE: TREE:
(* (- (exp (/ (/ extent eccentricity) (* (* (exp (* (log (+ convex -0.25821))
(exp convex))) (exp (- extent convex))))
(+ (- (/ 0.10974 extent) (+ eccentricity extent))
(/ area 0.97881)) (- (/ (log (log (/ minor convex)))
(log (/ perimeter minor)))) (log (/ (log extent)
(log (- (/ (* (- extent (exp extent))))
(log (exp extent))) convex) (- (* (/ (+ convex extent)
(* eccentricity perimeter)) (+ 0.46105 extent))
(log (/ minor major))))) (+ (+ perimeter extent)
(exp major)))
(log (+ (* area
(exp (+ major perimeter))) area)))))
TREE-equ: TREE-equ:
y = ((exp(((extent / eccentricity) / exp(convex))) - (((0.10974 / extent) - (area / 0.97881)) + log((perimeter / minor)))) * log(((((extent - log(exp(extent))) * convex) / (eccentricity * perimeter)) - log((minor / major))))) y = ((exp((log((convex + -0.25821)) * exp((extent - convex)))) * (eccentricity + extent)) * ((log(log((minor / convex))) / log((log(extent) / exp(extent)))) - ((((convex + extent) / (0.46105 + extent)) * ((perimeter + extent) + exp(major))) - log(((area * exp((major + perimeter))) + area)))))

37
cmake-build-relwithdebinfo/run_4/regress.fn
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@ -1,20 +1,23 @@
Hits: 1662, Total Size: 2810, Percent Hit: 59.145907 Hits: 2148, Total Size: 2810, Percent Hit: 76.441281
CC: 12 CC: 472
CO: 1146 CO: 662
OO: 1650 OO: 1676
OC: 2 OC: 0
Fitness: 0.998124 Fitness: 0.998613
Hits: 532 Hits: 720
y = ((exp(((extent / eccentricity) / exp(convex))) - (((0.10974 / extent) - (area / 0.97881)) + log((perimeter / minor)))) * log(((((extent - log(exp(extent))) * convex) / (eccentricity * perimeter)) - log((minor / major))))) y = ((exp((log((convex + -0.25821)) * exp((extent - convex)))) * (eccentricity + extent)) * ((log(log((minor / convex))) / log((log(extent) / exp(extent)))) - ((((convex + extent) / (0.46105 + extent)) * ((perimeter + extent) + exp(major))) - log(((area * exp((major + perimeter))) + area)))))
(* (- (exp (/ (/ extent eccentricity) (* (* (exp (* (log (+ convex -0.25821))
(exp convex))) (exp (- extent convex))))
(+ (- (/ 0.10974 extent) (+ eccentricity extent))
(/ area 0.97881)) (- (/ (log (log (/ minor convex)))
(log (/ perimeter minor)))) (log (/ (log extent)
(log (- (/ (* (- extent (exp extent))))
(log (exp extent))) convex) (- (* (/ (+ convex extent)
(* eccentricity perimeter)) (+ 0.46105 extent))
(log (/ minor major))))) (+ (+ perimeter extent)
(exp major)))
(log (+ (* area
(exp (+ major perimeter))) area)))))

1389
cmake-build-relwithdebinfo/run_4/regress.his
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1976
cmake-build-relwithdebinfo/run_4/regress.prg
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56
cmake-build-relwithdebinfo/run_4/regress.stt
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@ -1,6 +1,52 @@
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
0 0 0.9780 0.9981 0.0000 16.408 3.132 8 3 19 4 0.9780 0.9981 0.0000 16.408 3.132 8 3 19 4 0 0 0.9700 0.9980 0.0000 17.072 3.172 46 6 25 5 0.9700 0.9980 0.0000 17.072 3.172 46 6 25 5
1 0 0.9900 0.9981 0.0000 15.056 3.192 8 3 24 5 0.9840 0.9981 0.0000 15.732 3.162 8 3 19 4 1 0 0.9940 0.9980 0.0000 16.064 3.368 46 6 47 6 0.9820 0.9980 0.0000 16.568 3.270 46 6 25 5
2 0 0.9939 0.9981 0.0000 16.380 3.556 8 3 13 4 0.9873 0.9981 0.0000 15.948 3.293 8 3 19 4 2 0 0.9860 0.9980 0.0000 16.984 3.668 46 6 23 7 0.9834 0.9980 0.0000 16.707 3.403 46 6 25 5
3 0 0.9979 0.9981 0.9959 15.400 3.544 8 3 34 6 0.9899 0.9981 0.0000 15.811 3.356 8 3 19 4 3 0 0.9820 0.9980 0.0000 17.736 3.844 46 6 31 6 0.9830 0.9980 0.0000 16.964 3.513 46 6 25 5
4 0 0.9900 0.9981 0.0000 14.212 3.504 38 8 71 7 0.9899 0.9981 0.0000 15.491 3.386 38 8 19 4 4 0 0.9940 0.9986 0.0000 16.800 3.684 52 8 47 7 0.9852 0.9986 0.0000 16.931 3.547 52 8 25 5
5 0 0.9980 0.9986 0.9980 17.024 3.736 52 8 44 8 0.9874 0.9986 0.0000 16.947 3.579 52 8 25 5
6 0 0.9900 0.9986 0.0000 19.300 4.124 52 8 62 8 0.9877 0.9986 0.0000 17.283 3.657 52 8 25 5
7 0 0.9820 0.9986 0.0000 18.052 4.144 52 8 34 10 0.9870 0.9986 0.0000 17.379 3.717 52 8 25 5
8 0 0.9900 0.9986 0.0000 19.116 4.256 52 8 71 10 0.9874 0.9986 0.0000 17.572 3.777 52 8 25 5
9 0 0.9940 0.9986 0.0000 17.016 4.088 52 8 18 6 0.9880 0.9986 0.0000 17.516 3.808 52 8 25 5
10 0 0.9940 0.9986 0.0000 18.240 4.424 52 8 34 7 0.9886 0.9986 0.0000 17.582 3.864 52 8 25 5
11 0 0.9860 0.9986 0.0000 16.356 4.256 52 8 39 8 0.9883 0.9986 0.0000 17.480 3.897 52 8 25 5
12 0 0.9940 0.9986 0.0000 16.472 4.292 52 8 63 13 0.9888 0.9986 0.0000 17.402 3.927 52 8 25 5
13 0 0.9980 0.9986 0.9980 16.252 4.156 52 8 11 4 0.9894 0.9986 0.0000 17.320 3.944 52 8 25 5
14 0 0.9980 0.9986 0.9980 15.256 4.276 52 8 10 4 0.9900 0.9986 0.0000 17.183 3.966 52 8 25 5
15 0 0.9980 0.9986 0.9980 16.828 4.656 52 8 3 1 0.9905 0.9986 0.0000 17.160 4.009 52 8 25 5
16 0 0.9940 0.9986 0.0000 17.016 4.556 52 8 59 10 0.9907 0.9986 0.0000 17.152 4.041 52 8 25 5
17 0 0.9980 0.9986 0.9980 16.208 4.308 52 8 9 3 0.9911 0.9986 0.0000 17.100 4.056 52 8 25 5
18 0 0.9980 0.9986 0.9978 14.868 4.172 52 8 40 10 0.9915 0.9986 0.0000 16.982 4.062 52 8 25 5
19 0 0.9940 0.9986 0.0000 13.652 3.892 52 8 70 13 0.9916 0.9986 0.0000 16.816 4.054 52 8 25 5
20 0 0.9980 0.9986 0.9964 14.368 3.976 52 8 80 12 0.9919 0.9986 0.0000 16.699 4.050 52 8 25 5
21 0 0.9940 0.9986 0.0000 12.768 3.704 52 8 37 7 0.9920 0.9986 0.0000 16.520 4.034 52 8 25 5
22 0 0.9980 0.9986 0.9964 13.164 3.668 52 8 31 12 0.9923 0.9986 0.0000 16.374 4.018 52 8 25 5
23 0 0.9980 0.9986 0.9964 14.372 3.896 52 8 79 12 0.9925 0.9986 0.0000 16.291 4.013 52 8 25 5
24 0 0.9980 0.9986 0.9964 13.636 3.688 52 8 82 13 0.9927 0.9986 0.0000 16.185 4.000 52 8 25 5
25 0 0.9980 0.9986 0.9964 13.800 3.684 52 8 40 8 0.9929 0.9986 0.0000 16.093 3.988 52 8 25 5
26 0 0.9980 0.9986 0.9964 12.156 3.404 52 8 60 8 0.9931 0.9986 0.0000 15.947 3.966 52 8 25 5
27 0 0.9940 0.9986 0.0000 12.832 3.452 52 8 46 9 0.9932 0.9986 0.0000 15.836 3.948 52 8 25 5
28 0 0.9980 0.9986 0.9964 12.504 3.564 52 8 45 8 0.9933 0.9986 0.0000 15.721 3.935 52 8 25 5
29 0 0.9980 0.9986 0.9976 11.384 3.664 52 8 25 8 0.9935 0.9986 0.0000 15.577 3.926 52 8 25 5
30 0 0.9980 0.9986 0.9979 11.604 3.904 52 8 8 5 0.9936 0.9986 0.0000 15.448 3.925 52 8 25 5
31 0 0.9980 0.9986 0.9975 11.660 3.760 52 8 19 5 0.9938 0.9986 0.0000 15.330 3.920 52 8 25 5
32 0 0.9970 0.9986 0.7500 13.348 4.108 52 8 31 10 0.9939 0.9986 0.0000 15.270 3.926 52 8 25 5
33 0 0.9940 0.9986 0.0000 13.288 4.112 52 8 36 8 0.9939 0.9986 0.0000 15.212 3.931 52 8 25 5
34 0 0.9900 0.9986 0.0000 11.300 3.588 52 8 24 7 0.9938 0.9986 0.0000 15.100 3.921 52 8 25 5
35 0 0.9900 0.9986 0.0000 12.036 3.696 52 8 62 12 0.9937 0.9986 0.0000 15.015 3.915 52 8 25 5
36 0 0.9860 0.9986 0.0000 12.120 3.820 52 8 15 4 0.9934 0.9986 0.0000 14.937 3.912 52 8 25 5
37 0 0.9980 0.9986 0.9980 12.144 3.804 52 8 6 2 0.9936 0.9986 0.0000 14.863 3.910 52 8 25 5
38 0 0.9940 0.9986 0.0000 13.196 4.080 52 8 41 15 0.9936 0.9986 0.0000 14.820 3.914 52 8 25 5
39 0 0.9940 0.9986 0.0000 14.044 4.296 52 8 34 9 0.9936 0.9986 0.0000 14.801 3.924 52 8 25 5
40 0 0.9980 0.9986 0.9980 13.464 4.168 52 8 3 1 0.9937 0.9986 0.0000 14.768 3.929 52 8 25 5
41 0 0.9980 0.9986 0.9973 13.496 4.380 52 8 38 8 0.9938 0.9986 0.0000 14.738 3.940 52 8 25 5
42 0 0.9980 0.9986 0.9973 13.180 4.192 52 8 46 8 0.9939 0.9986 0.0000 14.702 3.946 52 8 25 5
43 0 0.9940 0.9986 0.0000 11.860 3.948 52 8 70 17 0.9939 0.9986 0.0000 14.637 3.946 52 8 25 5
44 0 0.9980 0.9986 0.9980 11.624 3.724 52 8 2 1 0.9940 0.9986 0.0000 14.570 3.941 52 8 25 5
45 0 0.9940 0.9986 0.0000 10.812 3.392 52 8 35 9 0.9940 0.9986 0.0000 14.489 3.929 52 8 25 5
46 0 0.9980 0.9986 0.9979 9.324 2.964 52 8 39 11 0.9941 0.9986 0.0000 14.379 3.909 52 8 25 5
47 0 0.9980 0.9986 0.9977 9.020 2.888 52 8 43 7 0.9942 0.9986 0.0000 14.267 3.887 52 8 25 5
48 0 0.9980 0.9986 0.9980 8.976 2.772 52 8 4 2 0.9942 0.9986 0.0000 14.159 3.865 52 8 25 5
49 0 0.9940 0.9986 0.0000 8.692 2.732 52 8 28 7 0.9942 0.9986 0.0000 14.050 3.842 52 8 25 5
50 0 0.9940 0.9986 0.0000 8.340 2.764 52 8 8 3 0.9942 0.9986 0.0000 13.938 3.821 52 8 25 5

167
cmake-build-relwithdebinfo/run_4/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 164. no random number seed specfied; using 1157.
creating initial population(s): creating initial population(s):
326 trees were generated to fill the population of 250 (250 trees). 343 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -37,3 +37,166 @@ no checkpointing will be done.
=== generation 4. === generation 4.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 4630955
freed: 4582955
not freed: 48000
max allocated: 222982
malloc'ed blocks: 46783
realloc'ed blocks: 7
free'ed blocks: 46777
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1131
freed: 1131
allocated: 1000
blocks: 1

30
cmake-build-relwithdebinfo/run_5/regress.bst
View File

@ -1,23 +1,23 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 0 generation: 29
nodes: 2 nodes: 27
depth: 1 depth: 6
hits: 513 hits: 895
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 513 hits: 895
raw fitness: 513.0000 raw fitness: 895.0000
standardized fitness: 513.0000 standardized fitness: 895.0000
adjusted fitness: 0.9981 adjusted fitness: 0.9989
TREE: TREE:
(* (/ (exp (+ major minor)) (log (+ (log (/ (+ convex perimeter) extent))
(- (* eccentricity major) (/ (/ (+ (/ area perimeter)
(* 0.97781 minor))) (+ perimeter -0.43095))
(+ (exp (- eccentricity convex)) (log (/ major area)))
(* (* 0.49033 minor) (+ extent
(log eccentricity)))) (log (/ area extent))))))
TREE-equ: TREE-equ:
y = ((exp((major + minor)) / ((eccentricity * major) - (0.97781 * minor))) * (exp((eccentricity - convex)) + ((0.49033 * minor) * log(eccentricity)))) y = log((log(((convex + perimeter) / extent)) + ((((area / perimeter) + (perimeter + -0.43095)) / log((major / area))) / (extent + log((area / extent))))))

28
cmake-build-relwithdebinfo/run_5/regress.fn
View File

@ -1,17 +1,17 @@
Hits: 1667, Total Size: 2810, Percent Hit: 59.323843 Hits: 2510, Total Size: 2810, Percent Hit: 89.323843
CC: 0 CC: 1029
CO: 1143 CO: 104
OO: 1667 OO: 1481
OC: 0 OC: 196
Fitness: 0.998054 Fitness: 0.998884
Hits: 513 Hits: 895
y = ((exp((major + minor)) / ((eccentricity * major) - (0.97781 * minor))) * (exp((eccentricity - convex)) + ((0.49033 * minor) * log(eccentricity)))) y = log((log(((convex + perimeter) / extent)) + ((((area / perimeter) + (perimeter + -0.43095)) / log((major / area))) / (extent + log((area / extent))))))
(* (/ (exp (+ major minor)) (log (+ (log (/ (+ convex perimeter) extent))
(- (* eccentricity major) (/ (/ (+ (/ area perimeter)
(* 0.97781 minor))) (+ perimeter -0.43095))
(+ (exp (- eccentricity convex)) (log (/ major area)))
(* (* 0.49033 minor) (+ extent
(log eccentricity)))) (log (/ area extent))))))

1190
cmake-build-relwithdebinfo/run_5/regress.his
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File diff suppressed because it is too large Load Diff

1968
cmake-build-relwithdebinfo/run_5/regress.prg
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File diff suppressed because it is too large Load Diff

56
cmake-build-relwithdebinfo/run_5/regress.stt
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@ -1,6 +1,52 @@
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
0 0 0.9700 0.9981 0.0000 17.672 3.176 2 1 74 6 0.9700 0.9981 0.0000 17.672 3.176 2 1 74 6 0 0 0.9700 0.9980 0.0000 16.316 3.080 4 2 19 6 0.9700 0.9980 0.0000 16.316 3.080 4 2 19 6
1 0 0.9820 0.9981 0.0000 13.756 3.036 2 1 11 5 0.9760 0.9981 0.0000 15.714 3.106 2 1 74 6 1 0 0.9860 0.9980 0.0000 16.716 3.292 4 2 14 5 0.9780 0.9980 0.0000 16.516 3.186 4 2 19 6
2 0 0.9940 0.9981 0.0000 12.844 3.116 2 1 15 5 0.9820 0.9981 0.0000 14.757 3.109 2 1 74 6 2 0 0.9860 0.9980 0.0000 15.016 3.336 57 7 17 6 0.9807 0.9980 0.0000 16.016 3.236 57 7 19 6
3 0 0.9940 0.9981 0.0000 12.656 3.200 2 1 35 6 0.9850 0.9981 0.0000 14.232 3.132 2 1 74 6 3 0 0.9940 0.9981 0.0000 15.048 3.592 68 9 17 6 0.9840 0.9981 0.0000 15.774 3.325 68 9 19 6
4 0 0.9980 0.9981 0.9980 12.584 3.364 2 1 34 8 0.9876 0.9981 0.0000 13.902 3.178 2 1 74 6 4 0 0.9980 0.9981 0.9980 15.260 3.644 68 9 4 2 0.9868 0.9981 0.0000 15.671 3.389 68 9 19 6
5 0 0.9900 0.9982 0.0000 16.084 3.852 10 7 22 6 0.9873 0.9982 0.0000 15.740 3.466 10 7 19 6
6 0 0.9980 0.9982 0.9980 13.500 3.732 10 7 21 5 0.9889 0.9982 0.0000 15.420 3.504 10 7 19 6
7 0 0.9940 0.9982 0.0000 13.180 3.672 10 7 20 5 0.9895 0.9982 0.0000 15.140 3.525 10 7 19 6
8 0 0.9980 0.9982 0.9980 13.960 3.872 10 7 1 0 0.9904 0.9982 0.0000 15.009 3.564 10 7 19 6
9 0 0.9980 0.9982 0.9973 13.248 3.768 10 7 40 9 0.9912 0.9982 0.0000 14.833 3.584 10 7 19 6
10 0 0.9980 0.9987 0.9980 11.848 3.552 38 9 18 6 0.9918 0.9987 0.0000 14.561 3.581 38 9 19 6
11 0 0.9980 0.9987 0.9964 11.372 3.596 38 9 46 6 0.9923 0.9987 0.0000 14.296 3.582 38 9 19 6
12 0 0.9980 0.9987 0.9964 10.740 3.528 38 9 47 6 0.9928 0.9987 0.0000 14.022 3.578 38 9 19 6
13 0 0.9940 0.9987 0.0000 10.568 3.500 38 9 47 6 0.9929 0.9987 0.0000 13.775 3.573 38 9 19 6
14 0 0.9940 0.9987 0.0000 10.152 3.492 38 9 43 6 0.9929 0.9987 0.0000 13.534 3.567 38 9 19 6
15 0 0.9980 0.9987 0.9977 8.760 3.076 38 9 17 5 0.9933 0.9987 0.0000 13.236 3.537 38 9 19 6
16 0 0.9980 0.9987 0.9979 8.280 2.936 38 9 9 3 0.9935 0.9987 0.0000 12.944 3.501 38 9 19 6
17 0 0.9940 0.9987 0.0000 8.596 2.920 38 9 8 3 0.9936 0.9987 0.0000 12.702 3.469 38 9 19 6
18 0 0.9900 0.9987 0.0000 8.820 2.980 38 9 12 6 0.9934 0.9987 0.0000 12.498 3.443 38 9 19 6
19 0 0.9980 0.9987 0.9980 9.620 3.180 38 9 14 5 0.9936 0.9987 0.0000 12.354 3.430 38 9 19 6
20 0 0.9980 0.9987 0.9960 9.276 3.084 38 9 5 2 0.9938 0.9987 0.0000 12.208 3.414 38 9 19 6
21 0 0.9980 0.9987 0.9979 8.520 2.892 38 9 7 4 0.9940 0.9987 0.0000 12.040 3.390 38 9 19 6
22 0 0.9980 0.9987 0.9980 9.260 3.168 38 9 6 3 0.9942 0.9987 0.0000 11.919 3.380 38 9 19 6
23 0 0.9980 0.9987 0.9980 9.008 3.072 38 9 2 1 0.9943 0.9987 0.0000 11.798 3.367 38 9 19 6
24 0 0.9980 0.9987 0.9979 8.940 3.060 38 9 29 7 0.9945 0.9987 0.0000 11.684 3.355 38 9 19 6
25 0 0.9980 0.9987 0.9978 9.220 3.188 38 9 6 3 0.9946 0.9987 0.0000 11.589 3.349 38 9 19 6
26 0 0.9980 0.9989 0.9980 8.520 3.064 25 6 4 2 0.9947 0.9989 0.0000 11.475 3.338 25 6 19 6
27 0 0.9980 0.9989 0.9980 8.148 2.960 25 6 5 2 0.9949 0.9989 0.0000 11.356 3.325 25 6 19 6
28 0 0.9980 0.9989 0.9980 7.572 2.800 25 6 1 0 0.9950 0.9989 0.0000 11.226 3.306 25 6 19 6
29 0 0.9980 0.9989 0.9974 7.592 2.888 27 6 11 5 0.9951 0.9989 0.0000 11.105 3.293 27 6 19 6
30 0 0.9980 0.9989 0.9966 8.260 3.112 27 6 9 4 0.9952 0.9989 0.0000 11.013 3.287 27 6 19 6
31 0 0.9980 0.9989 0.9980 7.928 2.992 27 6 16 5 0.9953 0.9989 0.0000 10.916 3.277 27 6 19 6
32 0 0.9980 0.9989 0.9980 7.800 2.996 27 6 21 8 0.9953 0.9989 0.0000 10.822 3.269 27 6 19 6
33 0 0.9980 0.9989 0.9980 7.864 3.012 27 6 22 8 0.9954 0.9989 0.0000 10.735 3.261 27 6 19 6
34 0 0.9980 0.9989 0.9975 7.476 2.936 27 6 7 2 0.9955 0.9989 0.0000 10.642 3.252 27 6 19 6
35 0 0.9980 0.9989 0.9967 6.996 2.708 27 6 19 5 0.9956 0.9989 0.0000 10.541 3.237 27 6 19 6
36 0 0.9980 0.9989 0.9980 6.988 2.744 27 6 3 1 0.9956 0.9989 0.0000 10.445 3.224 27 6 19 6
37 0 0.9980 0.9989 0.9978 6.844 2.644 27 6 5 2 0.9957 0.9989 0.0000 10.350 3.208 27 6 19 6
38 0 0.9940 0.9989 0.0000 6.692 2.532 27 6 7 3 0.9956 0.9989 0.0000 10.256 3.191 27 6 19 6
39 0 0.9980 0.9989 0.9980 6.560 2.520 27 6 16 7 0.9957 0.9989 0.0000 10.164 3.174 27 6 19 6
40 0 0.9980 0.9989 0.9980 6.324 2.280 27 6 13 4 0.9958 0.9989 0.0000 10.070 3.152 27 6 19 6
41 0 0.9940 0.9989 0.0000 5.916 2.084 27 6 18 8 0.9957 0.9989 0.0000 9.971 3.127 27 6 19 6
42 0 0.9980 0.9989 0.9980 5.760 2.096 27 6 10 3 0.9958 0.9989 0.0000 9.873 3.103 27 6 19 6
43 0 0.9980 0.9989 0.9977 5.892 2.168 27 6 4 2 0.9958 0.9989 0.0000 9.783 3.082 27 6 19 6
44 0 0.9980 0.9989 0.9980 5.824 2.124 27 6 8 3 0.9959 0.9989 0.0000 9.695 3.061 27 6 19 6
45 0 0.9980 0.9989 0.9978 6.440 2.320 27 6 14 5 0.9959 0.9989 0.0000 9.624 3.044 27 6 19 6
46 0 0.9980 0.9989 0.9979 6.468 2.368 27 6 21 6 0.9960 0.9989 0.0000 9.557 3.030 27 6 19 6
47 0 0.9940 0.9989 0.0000 6.420 2.412 27 6 25 9 0.9959 0.9989 0.0000 9.492 3.017 27 6 19 6
48 0 0.9980 0.9989 0.9971 6.392 2.400 27 6 8 4 0.9960 0.9989 0.0000 9.428 3.005 27 6 19 6
49 0 0.9980 0.9989 0.9980 6.156 2.332 27 6 8 5 0.9960 0.9989 0.0000 9.363 2.991 27 6 19 6
50 0 0.9980 0.9989 0.9969 6.224 2.236 27 6 17 6 0.9960 0.9989 0.0000 9.301 2.976 27 6 19 6

167
cmake-build-relwithdebinfo/run_5/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 128. no random number seed specfied; using 2382.
creating initial population(s): creating initial population(s):
304 trees were generated to fill the population of 250 (250 trees). 342 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -37,3 +37,166 @@ no checkpointing will be done.
=== generation 4. === generation 4.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 3643569
freed: 3595569
not freed: 48000
max allocated: 212686
malloc'ed blocks: 46461
realloc'ed blocks: 7
free'ed blocks: 46455
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1114
freed: 1114
allocated: 1000
blocks: 1

24
cmake-build-relwithdebinfo/run_6/regress.bst
View File

@ -1,20 +1,22 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 11 generation: 4
nodes: 10 nodes: 16
depth: 4 depth: 4
hits: 597 hits: 780
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 597 hits: 780
raw fitness: 597.0000 raw fitness: 780.0000
standardized fitness: 597.0000 standardized fitness: 780.0000
adjusted fitness: 0.9983 adjusted fitness: 0.9987
TREE: TREE:
(- 0.90309 (/ (* (/ eccentricity major)
(- (+ (- eccentricity eccentricity) (+ eccentricity -0.88515))
(exp extent)) eccentricity)) (- (exp eccentricity)
(* convex
(/ area -0.45528))))
TREE-equ: TREE-equ:
y = (0.90309 - (((eccentricity - eccentricity) + exp(extent)) - eccentricity)) y = (((eccentricity / major) * (eccentricity + -0.88515)) / (exp(eccentricity) - (convex * (area / -0.45528))))

24
cmake-build-relwithdebinfo/run_6/regress.fn
View File

@ -1,14 +1,16 @@
Hits: 1882, Total Size: 2810, Percent Hit: 66.975089 Hits: 2157, Total Size: 2810, Percent Hit: 76.761566
CC: 340 CC: 1006
CO: 779 CO: 125
OO: 1542 OO: 1151
OC: 149 OC: 528
Fitness: 0.998328 Fitness: 0.998720
Hits: 597 Hits: 780
y = (0.90309 - (((eccentricity - eccentricity) + exp(extent)) - eccentricity)) y = (((eccentricity / major) * (eccentricity + -0.88515)) / (exp(eccentricity) - (convex * (area / -0.45528))))
(- 0.90309 (/ (* (/ eccentricity major)
(- (+ (- eccentricity eccentricity) (+ eccentricity -0.88515))
(exp extent)) eccentricity)) (- (exp eccentricity)
(* convex
(/ area -0.45528))))

1169
cmake-build-relwithdebinfo/run_6/regress.his
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1986
cmake-build-relwithdebinfo/run_6/regress.prg
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66
cmake-build-relwithdebinfo/run_6/regress.stt
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@ -1,16 +1,52 @@
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
0 0 0.9501 0.9980 0.0000 16.628 3.244 6 3 50 6 0.9501 0.9980 0.0000 16.628 3.244 6 3 50 6 0 0 0.9581 0.9986 0.0000 15.992 3.200 14 3 81 6 0.9581 0.9986 0.0000 15.992 3.200 14 3 81 6
1 0 0.9900 0.9983 0.0000 14.944 3.356 37 8 64 6 0.9701 0.9983 0.0000 15.786 3.300 37 8 50 6 1 0 0.9900 0.9986 0.0000 13.872 3.260 14 3 25 4 0.9740 0.9986 0.0000 14.932 3.230 14 3 81 6
2 0 0.9861 0.9983 0.0000 14.440 3.380 37 8 9 3 0.9754 0.9983 0.0000 15.337 3.327 37 8 50 6 2 0 0.9860 0.9986 0.0000 13.140 3.356 14 3 59 10 0.9780 0.9986 0.0000 14.335 3.272 14 3 81 6
3 0 0.9980 0.9983 0.9980 13.036 3.308 37 8 12 3 0.9811 0.9983 0.0000 14.762 3.322 37 8 50 6 3 0 0.9900 0.9986 0.0000 12.244 3.396 14 3 25 5 0.9810 0.9986 0.0000 13.812 3.303 14 3 81 6
4 0 0.9940 0.9983 0.0000 12.520 3.240 37 8 37 6 0.9837 0.9983 0.0000 14.314 3.306 37 8 50 6 4 0 0.9980 0.9987 0.9955 12.864 3.428 16 4 12 3 0.9844 0.9987 0.0000 13.622 3.328 16 4 81 6
5 0 0.9980 0.9983 0.9978 11.980 3.368 37 8 10 5 0.9861 0.9983 0.0000 13.925 3.316 37 8 50 6 5 0 0.9900 0.9987 0.0000 12.192 3.440 16 4 14 7 0.9854 0.9987 0.0000 13.384 3.347 16 4 81 6
6 0 0.9980 0.9983 0.9980 10.416 3.140 37 8 5 2 0.9878 0.9983 0.0000 13.423 3.291 37 8 50 6 6 0 0.9980 0.9987 0.9974 11.824 3.556 16 4 18 6 0.9872 0.9987 0.0000 13.161 3.377 16 4 81 6
7 0 0.9901 0.9983 0.0000 10.168 3.128 37 8 11 4 0.9881 0.9983 0.0000 13.017 3.271 37 8 50 6 7 0 0.9980 0.9987 0.9955 11.188 3.432 16 4 23 8 0.9885 0.9987 0.0000 12.915 3.384 16 4 81 6
8 0 0.9980 0.9983 0.9980 9.956 3.220 37 8 3 1 0.9892 0.9983 0.0000 12.676 3.265 37 8 50 6 8 0 0.9980 0.9987 0.9955 9.764 3.072 16 4 7 2 0.9896 0.9987 0.0000 12.564 3.349 16 4 81 6
9 0 0.9940 0.9983 0.0000 10.084 3.368 37 8 16 6 0.9896 0.9983 0.0000 12.417 3.275 37 8 50 6 9 0 0.9980 0.9987 0.9955 10.136 3.192 16 4 27 6 0.9904 0.9987 0.0000 12.322 3.333 16 4 81 6
10 0 0.9861 0.9983 0.0000 10.224 3.284 37 8 45 7 0.9893 0.9983 0.0000 12.218 3.276 37 8 50 6 10 0 0.9980 0.9987 0.9955 8.692 2.916 16 4 29 7 0.9911 0.9987 0.0000 11.992 3.295 16 4 81 6
11 0 0.9980 0.9983 0.9979 9.800 3.328 10 4 10 4 0.9900 0.9983 0.0000 12.016 3.280 10 4 50 6 11 0 0.9940 0.9987 0.0000 7.664 2.804 16 4 27 5 0.9913 0.9987 0.0000 11.631 3.254 16 4 81 6
12 0 0.9900 0.9983 0.0000 9.720 3.292 10 4 33 13 0.9900 0.9983 0.0000 11.840 3.281 10 4 50 6 12 0 0.9980 0.9987 0.9979 6.268 2.456 16 4 14 5 0.9919 0.9987 0.0000 11.218 3.193 16 4 81 6
13 0 0.9980 0.9983 0.9969 9.540 3.192 10 4 3 1 0.9906 0.9983 0.0000 11.675 3.275 10 4 50 6 13 0 0.9980 0.9987 0.9980 6.300 2.552 16 4 8 4 0.9923 0.9987 0.0000 10.867 3.147 16 4 81 6
14 0 0.9980 0.9983 0.9971 8.324 2.980 10 4 9 3 0.9911 0.9983 0.0000 11.452 3.255 10 4 50 6 14 0 0.9980 0.9987 0.9980 5.840 2.348 16 4 12 5 0.9927 0.9987 0.0000 10.532 3.094 16 4 81 6
15 0 0.9980 0.9987 0.9977 5.880 2.424 16 4 9 4 0.9930 0.9987 0.0000 10.241 3.052 16 4 81 6
16 0 0.9980 0.9987 0.9977 5.584 2.236 16 4 7 3 0.9933 0.9987 0.0000 9.967 3.004 16 4 81 6
17 0 0.9980 0.9987 0.9955 5.568 2.300 16 4 7 2 0.9936 0.9987 0.0000 9.723 2.965 16 4 81 6
18 0 0.9980 0.9987 0.9980 5.512 2.348 16 4 12 3 0.9938 0.9987 0.0000 9.501 2.932 16 4 81 6
19 0 0.9980 0.9987 0.9980 5.372 2.228 16 4 2 1 0.9940 0.9987 0.0000 9.295 2.897 16 4 81 6
20 0 0.9940 0.9987 0.0000 5.532 2.288 16 4 8 4 0.9940 0.9987 0.0000 9.116 2.868 16 4 81 6
21 0 0.9980 0.9987 0.9978 5.724 2.336 16 4 6 3 0.9942 0.9987 0.0000 8.961 2.844 16 4 81 6
22 0 0.9980 0.9987 0.9978 5.200 2.036 16 4 6 3 0.9944 0.9987 0.0000 8.798 2.809 16 4 81 6
23 0 0.9980 0.9987 0.9980 5.288 1.992 16 4 3 1 0.9945 0.9987 0.0000 8.652 2.775 16 4 81 6
24 0 0.9940 0.9987 0.0000 5.948 2.252 16 4 7 3 0.9945 0.9987 0.0000 8.544 2.754 16 4 81 6
25 0 0.9980 0.9987 0.9980 5.596 2.200 16 4 1 0 0.9946 0.9987 0.0000 8.430 2.733 16 4 81 6
26 0 0.9980 0.9987 0.9955 5.736 2.244 16 4 14 3 0.9948 0.9987 0.0000 8.330 2.715 16 4 81 6
27 0 0.9980 0.9987 0.9955 5.696 2.272 16 4 14 3 0.9949 0.9987 0.0000 8.236 2.699 16 4 81 6
28 0 0.9980 0.9987 0.9980 5.076 2.048 16 4 1 0 0.9950 0.9987 0.0000 8.127 2.676 16 4 81 6
29 0 0.9980 0.9987 0.9980 5.432 2.196 16 4 1 0 0.9951 0.9987 0.0000 8.037 2.660 16 4 81 6
30 0 0.9980 0.9987 0.9955 5.584 2.232 16 4 12 3 0.9952 0.9987 0.0000 7.958 2.646 16 4 81 6
31 0 0.9940 0.9987 0.0000 5.484 2.184 16 4 8 4 0.9951 0.9987 0.0000 7.881 2.632 16 4 81 6
32 0 0.9940 0.9987 0.0000 5.888 2.384 16 4 7 4 0.9951 0.9987 0.0000 7.821 2.624 16 4 81 6
33 0 0.9980 0.9987 0.9955 5.852 2.368 16 4 9 3 0.9952 0.9987 0.0000 7.763 2.617 16 4 81 6
34 0 0.9980 0.9987 0.9955 5.936 2.344 16 4 15 4 0.9953 0.9987 0.0000 7.711 2.609 16 4 81 6
35 0 0.9980 0.9987 0.9955 5.860 2.308 16 4 14 3 0.9953 0.9987 0.0000 7.659 2.601 16 4 81 6
36 0 0.9980 0.9987 0.9955 6.056 2.368 16 4 12 3 0.9954 0.9987 0.0000 7.616 2.594 16 4 81 6
37 0 0.9940 0.9987 0.0000 6.384 2.556 16 4 19 6 0.9954 0.9987 0.0000 7.583 2.593 16 4 81 6
38 0 0.9940 0.9987 0.0000 5.868 2.356 16 4 13 5 0.9953 0.9987 0.0000 7.539 2.587 16 4 81 6
39 0 0.9980 0.9987 0.9980 5.728 2.236 16 4 5 2 0.9954 0.9987 0.0000 7.494 2.579 16 4 81 6
40 0 0.9980 0.9987 0.9980 5.240 2.092 16 4 1 0 0.9955 0.9987 0.0000 7.439 2.567 16 4 81 6
41 0 0.9980 0.9987 0.9980 4.932 1.984 16 4 3 1 0.9955 0.9987 0.0000 7.379 2.553 16 4 81 6
42 0 0.9980 0.9987 0.9980 5.208 2.096 16 4 4 2 0.9956 0.9987 0.0000 7.329 2.542 16 4 81 6
43 0 0.9980 0.9987 0.9980 5.112 2.020 16 4 1 0 0.9956 0.9987 0.0000 7.279 2.530 16 4 81 6
44 0 0.9980 0.9987 0.9980 4.996 2.012 16 4 4 2 0.9957 0.9987 0.0000 7.228 2.519 16 4 81 6
45 0 0.9980 0.9987 0.9980 4.752 1.880 16 4 5 2 0.9958 0.9987 0.0000 7.174 2.505 16 4 81 6
46 0 0.9980 0.9987 0.9980 4.984 1.932 16 4 1 0 0.9958 0.9987 0.0000 7.127 2.493 16 4 81 6
47 0 0.9980 0.9987 0.9980 4.980 1.884 16 4 1 0 0.9958 0.9987 0.0000 7.083 2.480 16 4 81 6
48 0 0.9980 0.9987 0.9980 4.576 1.756 16 4 1 0 0.9959 0.9987 0.0000 7.032 2.465 16 4 81 6
49 0 0.9980 0.9987 0.9955 5.160 2.040 16 4 24 6 0.9959 0.9987 0.0000 6.994 2.457 16 4 81 6
50 0 0.9980 0.9987 0.9955 4.752 1.884 16 4 14 4 0.9960 0.9987 0.0000 6.950 2.446 16 4 81 6

137
cmake-build-relwithdebinfo/run_6/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 777. no random number seed specfied; using 294.
creating initial population(s): creating initial population(s):
314 trees were generated to fill the population of 250 (250 trees). 349 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -67,3 +67,136 @@ no checkpointing will be done.
=== generation 14. === generation 14.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 3118370
freed: 3070370
not freed: 48000
max allocated: 206477
malloc'ed blocks: 46682
realloc'ed blocks: 6
free'ed blocks: 46676
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 100
space 1 size: 100
------- ephemeral random constants -------
used: 1180
freed: 1180
allocated: 1000
blocks: 1

24
cmake-build-relwithdebinfo/run_7/regress.bst
View File

@ -1,22 +1,20 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 14 generation: 30
nodes: 23 nodes: 10
depth: 6 depth: 6
hits: 851 hits: 928
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 851 hits: 928
raw fitness: 851.0000 raw fitness: 928.0000
standardized fitness: 851.0000 standardized fitness: 928.0000
adjusted fitness: 0.9988 adjusted fitness: 0.9989
TREE: TREE:
(* (* (- extent (log (* -0.19211
(+ extent convex)) (exp (* (* -0.66480
(log (* extent perimeter))) (exp eccentricity)) perimeter))))
(/ (+ minor eccentricity)
(exp (+ (+ (+ major minor) extent) perimeter))))
TREE-equ: TREE-equ:
y = (((extent - (extent + convex)) * log((extent * perimeter))) * ((minor + eccentricity) / exp((((major + minor) + extent) + perimeter)))) y = log((-0.19211 * exp(((-0.66480 * exp(eccentricity)) * perimeter))))

24
cmake-build-relwithdebinfo/run_7/regress.fn
View File

@ -1,16 +1,14 @@
Hits: 2329, Total Size: 2810, Percent Hit: 82.882562 Hits: 2601, Total Size: 2810, Percent Hit: 92.562278
CC: 1124 CC: 1041
CO: 28 CO: 100
OO: 1205 OO: 1560
OC: 453 OC: 109
Fitness: 0.998826 Fitness: 0.998924
Hits: 851 Hits: 928
y = (((extent - (extent + convex)) * log((extent * perimeter))) * ((minor + eccentricity) / exp((((major + minor) + extent) + perimeter)))) y = log((-0.19211 * exp(((-0.66480 * exp(eccentricity)) * perimeter))))
(* (* (- extent (log (* -0.19211
(+ extent convex)) (exp (* (* -0.66480
(log (* extent perimeter))) (exp eccentricity)) perimeter))))
(/ (+ minor eccentricity)
(exp (+ (+ (+ major minor) extent) perimeter))))

1213
cmake-build-relwithdebinfo/run_7/regress.his
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1980
cmake-build-relwithdebinfo/run_7/regress.prg
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102
cmake-build-relwithdebinfo/run_7/regress.stt
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@ -1,52 +1,52 @@
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
0 0 0.9700 0.9986 0.0000 18.820 3.352 22 4 13 3 0.9700 0.9986 0.0000 18.820 3.352 22 4 13 3 0 0 0.9740 0.9980 0.0000 16.664 3.100 13 4 19 6 0.9740 0.9980 0.0000 16.664 3.100 13 4 19 6
1 0 0.9740 0.9986 0.0000 18.384 3.604 22 4 15 5 0.9720 0.9986 0.0000 18.602 3.478 22 4 13 3 1 0 0.9900 0.9981 0.0000 14.932 3.192 23 6 40 5 0.9820 0.9981 0.0000 15.798 3.146 23 6 19 6
2 0 0.9860 0.9986 0.0000 17.400 3.624 22 4 28 8 0.9767 0.9986 0.0000 18.201 3.527 22 4 13 3 2 0 0.9900 0.9981 0.0000 14.320 3.340 23 6 62 9 0.9847 0.9981 0.0000 15.305 3.211 23 6 19 6
3 0 0.9980 0.9986 0.9978 15.656 3.688 22 4 7 3 0.9820 0.9986 0.0000 17.565 3.567 22 4 13 3 3 0 0.9980 0.9981 0.9979 14.600 3.492 23 6 9 3 0.9880 0.9981 0.0000 15.129 3.281 23 6 19 6
4 0 0.9980 0.9986 0.9978 16.256 3.968 22 4 30 6 0.9852 0.9986 0.0000 17.303 3.647 22 4 13 3 4 0 0.9980 0.9981 0.9980 12.120 3.152 23 6 50 6 0.9900 0.9981 0.0000 14.527 3.255 23 6 19 6
5 0 0.9980 0.9986 0.9975 16.700 4.272 22 4 74 9 0.9873 0.9986 0.0000 17.203 3.751 22 4 13 3 5 0 0.9980 0.9981 0.9978 10.476 3.024 23 6 9 4 0.9913 0.9981 0.0000 13.852 3.217 23 6 19 6
6 0 0.9940 0.9986 0.0000 15.296 4.004 22 4 54 6 0.9883 0.9986 0.0000 16.930 3.787 22 4 13 3 6 0 0.9980 0.9981 0.9975 10.400 3.028 20 6 3 1 0.9923 0.9981 0.0000 13.359 3.190 20 6 19 6
7 0 0.9980 0.9986 0.9966 13.664 3.860 22 4 58 9 0.9895 0.9986 0.0000 16.522 3.796 22 4 13 3 7 0 0.9940 0.9981 0.0000 9.276 2.884 20 6 58 11 0.9925 0.9981 0.0000 12.848 3.151 20 6 19 6
8 0 0.9860 0.9986 0.0000 13.284 3.728 22 4 31 8 0.9891 0.9986 0.0000 16.162 3.789 22 4 13 3 8 0 0.9940 0.9981 0.0000 8.656 3.004 20 6 32 7 0.9927 0.9981 0.0000 12.383 3.135 20 6 19 6
9 0 0.9980 0.9986 0.9975 12.040 3.428 22 4 19 5 0.9900 0.9986 0.0000 15.750 3.753 22 4 13 3 9 0 0.9980 0.9981 0.9980 9.476 3.208 20 6 3 1 0.9932 0.9981 0.0000 12.092 3.142 20 6 19 6
10 0 0.9980 0.9986 0.9979 11.024 3.180 22 4 10 3 0.9907 0.9986 0.0000 15.320 3.701 22 4 13 3 10 0 0.9940 0.9981 0.0000 8.924 3.224 20 6 25 9 0.9933 0.9981 0.0000 11.804 3.150 20 6 19 6
11 0 0.9900 0.9986 0.0000 9.744 2.988 22 4 36 10 0.9906 0.9986 0.0000 14.856 3.641 22 4 13 3 11 0 0.9980 0.9981 0.9980 10.156 3.328 20 6 1 0 0.9937 0.9981 0.0000 11.667 3.165 20 6 19 6
12 0 0.9940 0.9986 0.0000 10.224 3.100 22 4 34 10 0.9909 0.9986 0.0000 14.499 3.600 22 4 13 3 12 0 0.9980 0.9981 0.9976 10.156 3.376 4 2 20 6 0.9940 0.9981 0.0000 11.550 3.181 4 2 19 6
13 0 0.9940 0.9986 0.0000 10.776 3.256 22 4 35 10 0.9911 0.9986 0.0000 14.233 3.575 22 4 13 3 13 0 0.9940 0.9981 0.0000 9.024 3.132 4 2 33 6 0.9940 0.9981 0.0000 11.370 3.177 4 2 19 6
14 0 0.9980 0.9988 0.9977 10.728 3.252 23 6 4 2 0.9916 0.9988 0.0000 14.000 3.554 23 6 13 3 14 0 0.9980 0.9982 0.9977 9.288 3.224 3 1 4 2 0.9943 0.9982 0.0000 11.231 3.181 3 1 19 6
15 0 0.9980 0.9988 0.9941 10.408 3.156 23 6 13 4 0.9920 0.9988 0.0000 13.775 3.529 23 6 13 3 15 0 0.9980 0.9982 0.9977 8.156 3.052 3 1 19 6 0.9945 0.9982 0.0000 11.039 3.172 3 1 19 6
16 0 0.9940 0.9988 0.0000 9.596 2.904 23 6 25 8 0.9921 0.9988 0.0000 13.529 3.492 23 6 13 3 16 0 0.9980 0.9984 0.9980 7.012 2.624 13 4 1 0 0.9947 0.9984 0.0000 10.802 3.140 13 4 19 6
17 0 0.9980 0.9988 0.9976 8.296 2.648 23 6 5 3 0.9924 0.9988 0.0000 13.239 3.445 23 6 13 3 17 0 0.9980 0.9984 0.9980 5.864 2.240 13 4 16 6 0.9949 0.9984 0.0000 10.528 3.090 13 4 19 6
18 0 0.9979 0.9988 0.9978 8.756 2.696 23 6 7 3 0.9927 0.9988 0.0000 13.003 3.406 23 6 13 3 18 0 0.9980 0.9984 0.9980 5.636 2.196 13 4 1 0 0.9950 0.9984 0.0000 10.270 3.043 13 4 19 6
19 0 0.9979 0.9988 0.9941 8.720 2.768 23 6 11 4 0.9930 0.9988 0.0000 12.789 3.374 23 6 13 3 19 0 0.9980 0.9984 0.9979 5.524 2.148 13 4 8 4 0.9952 0.9984 0.0000 10.033 2.998 13 4 19 6
20 0 0.9979 0.9988 0.9975 7.372 2.444 23 6 30 7 0.9932 0.9988 0.0000 12.531 3.330 23 6 13 3 20 0 0.9980 0.9984 0.9979 5.472 2.124 13 4 7 3 0.9953 0.9984 0.0000 9.816 2.957 13 4 19 6
21 0 0.9979 0.9988 0.9975 6.780 2.332 23 6 31 7 0.9934 0.9988 0.0000 12.269 3.284 23 6 13 3 21 0 0.9980 0.9984 0.9980 5.324 2.116 13 4 7 4 0.9954 0.9984 0.0000 9.612 2.919 13 4 19 6
22 0 0.9900 0.9988 0.0000 6.484 2.260 23 6 19 6 0.9933 0.9988 0.0000 12.018 3.240 23 6 13 3 22 0 0.9980 0.9984 0.9980 5.080 2.044 13 4 5 2 0.9955 0.9984 0.0000 9.415 2.881 13 4 19 6
23 0 0.9979 0.9988 0.9941 6.024 2.264 23 6 22 8 0.9935 0.9988 0.0000 11.768 3.199 23 6 13 3 23 0 0.9980 0.9984 0.9980 4.772 1.908 13 4 2 1 0.9956 0.9984 0.0000 9.221 2.840 13 4 19 6
24 0 0.9979 0.9988 0.9979 5.676 2.088 23 6 5 2 0.9936 0.9988 0.0000 11.524 3.155 23 6 13 3 24 0 0.9980 0.9984 0.9980 4.728 1.808 13 4 1 0 0.9957 0.9984 0.0000 9.041 2.799 13 4 19 6
25 0 0.9980 0.9988 0.9978 5.212 2.072 23 6 5 2 0.9938 0.9988 0.0000 11.282 3.113 23 6 13 3 25 0 0.9980 0.9984 0.9980 4.628 1.728 13 4 1 0 0.9958 0.9984 0.0000 8.872 2.758 13 4 19 6
26 0 0.9980 0.9988 0.9978 5.504 2.124 23 6 9 3 0.9940 0.9988 0.0000 11.068 3.076 23 6 13 3 26 0 0.9980 0.9984 0.9980 4.496 1.688 13 4 4 2 0.9959 0.9984 0.0000 8.710 2.718 13 4 19 6
27 0 0.9979 0.9988 0.9978 4.756 1.816 23 6 5 2 0.9941 0.9988 0.0000 10.842 3.031 23 6 13 3 27 0 0.9980 0.9984 0.9977 4.944 1.848 13 4 4 2 0.9960 0.9984 0.0000 8.575 2.687 13 4 19 6
28 0 0.9979 0.9988 0.9979 5.132 1.964 23 6 3 1 0.9942 0.9988 0.0000 10.645 2.994 23 6 13 3 28 0 0.9980 0.9984 0.9980 5.644 2.128 13 4 13 5 0.9960 0.9984 0.0000 8.474 2.668 13 4 19 6
29 0 0.9979 0.9988 0.9979 4.960 1.860 23 6 3 1 0.9944 0.9988 0.0000 10.456 2.957 23 6 13 3 29 0 0.9980 0.9984 0.9980 5.032 1.880 13 4 8 4 0.9961 0.9984 0.0000 8.359 2.641 13 4 19 6
30 0 0.9980 0.9988 0.9979 5.272 1.992 23 6 1 0 0.9945 0.9988 0.0000 10.289 2.926 23 6 13 3 30 0 0.9940 0.9989 0.0000 5.360 2.024 10 6 8 3 0.9960 0.9989 0.0000 8.263 2.621 10 6 19 6
31 0 0.9980 0.9988 0.9979 5.296 2.032 23 6 12 5 0.9946 0.9988 0.0000 10.133 2.898 23 6 13 3 31 0 0.9940 0.9989 0.0000 5.244 2.008 10 6 7 3 0.9960 0.9989 0.0000 8.168 2.602 10 6 19 6
32 0 0.9980 0.9988 0.9979 5.832 2.208 23 6 1 0 0.9947 0.9988 0.0000 10.002 2.877 23 6 13 3 32 0 0.9980 0.9989 0.9979 5.172 2.012 10 6 7 4 0.9960 0.9989 0.0000 8.077 2.584 10 6 19 6
33 0 0.9980 0.9988 0.9979 5.816 2.224 23 6 1 0 0.9948 0.9988 0.0000 9.879 2.858 23 6 13 3 33 0 0.9940 0.9989 0.0000 5.460 2.112 10 6 16 5 0.9960 0.9989 0.0000 8.000 2.570 10 6 19 6
34 0 0.9980 0.9988 0.9978 5.952 2.296 23 6 12 5 0.9949 0.9988 0.0000 9.767 2.841 23 6 13 3 34 0 0.9980 0.9989 0.9980 6.048 2.328 10 6 6 3 0.9960 0.9989 0.0000 7.945 2.564 10 6 19 6
35 0 0.9980 0.9988 0.9979 5.964 2.236 23 6 9 4 0.9950 0.9988 0.0000 9.661 2.825 23 6 13 3 35 0 0.9940 0.9989 0.0000 6.396 2.444 10 6 30 12 0.9960 0.9989 0.0000 7.902 2.560 10 6 19 6
36 0 0.9980 0.9988 0.9979 6.208 2.252 23 6 5 2 0.9950 0.9988 0.0000 9.568 2.809 23 6 13 3 36 0 0.9980 0.9989 0.9979 6.752 2.552 10 6 42 10 0.9960 0.9989 0.0000 7.871 2.560 10 6 19 6
37 0 0.9980 0.9988 0.9979 6.032 2.144 23 6 8 3 0.9951 0.9988 0.0000 9.475 2.792 23 6 13 3 37 0 0.9980 0.9989 0.9979 6.432 2.440 10 6 42 10 0.9961 0.9989 0.0000 7.833 2.557 10 6 19 6
38 0 0.9976 0.9988 0.9167 5.776 2.040 23 6 26 6 0.9952 0.9988 0.0000 9.380 2.772 23 6 13 3 38 0 0.9980 0.9989 0.9980 6.264 2.244 10 6 1 0 0.9961 0.9989 0.0000 7.793 2.549 10 6 19 6
39 0 0.9980 0.9988 0.9974 5.004 1.828 23 6 26 6 0.9953 0.9988 0.0000 9.271 2.749 23 6 13 3 39 0 0.9980 0.9989 0.9980 6.400 2.372 10 6 1 0 0.9962 0.9989 0.0000 7.758 2.544 10 6 19 6
40 0 0.9940 0.9988 0.0000 5.100 1.816 23 6 22 5 0.9952 0.9988 0.0000 9.169 2.726 23 6 13 3 40 0 0.9980 0.9989 0.9980 6.572 2.524 10 6 3 1 0.9962 0.9989 0.0000 7.729 2.544 10 6 19 6
41 0 0.9980 0.9988 0.9979 5.084 1.864 23 6 3 1 0.9953 0.9988 0.0000 9.072 2.706 23 6 13 3 41 0 0.9980 0.9989 0.9980 6.408 2.508 10 6 1 0 0.9963 0.9989 0.0000 7.697 2.543 10 6 19 6
42 0 0.9940 0.9988 0.0000 5.108 1.928 23 6 10 5 0.9953 0.9988 0.0000 8.979 2.687 23 6 13 3 42 0 0.9940 0.9989 0.0000 5.656 2.180 10 6 12 5 0.9962 0.9989 0.0000 7.650 2.535 10 6 19 6
43 0 0.9980 0.9988 0.9979 5.184 1.976 23 6 1 0 0.9953 0.9988 0.0000 8.893 2.671 23 6 13 3 43 0 0.9980 0.9989 0.9980 4.992 1.856 10 6 1 0 0.9963 0.9989 0.0000 7.589 2.519 10 6 19 6
44 0 0.9980 0.9988 0.9979 5.492 2.076 23 6 3 1 0.9954 0.9988 0.0000 8.818 2.658 23 6 13 3 44 0 0.9980 0.9989 0.9980 5.060 1.940 10 6 1 0 0.9963 0.9989 0.0000 7.533 2.506 10 6 19 6
45 0 0.9940 0.9988 0.0000 5.380 2.060 23 6 23 6 0.9953 0.9988 0.0000 8.743 2.645 23 6 13 3 45 0 0.9980 0.9989 0.9980 4.776 1.880 10 6 1 0 0.9963 0.9989 0.0000 7.473 2.493 10 6 19 6
46 0 0.9936 0.9988 0.0000 4.984 1.880 23 6 10 4 0.9953 0.9988 0.0000 8.663 2.629 23 6 13 3 46 0 0.9980 0.9989 0.9974 4.876 1.940 10 6 6 2 0.9964 0.9989 0.0000 7.418 2.481 10 6 19 6
47 0 0.9979 0.9988 0.9978 5.512 2.072 23 6 9 4 0.9954 0.9988 0.0000 8.597 2.617 23 6 13 3 47 0 0.9980 0.9989 0.9977 4.712 1.868 10 6 7 2 0.9964 0.9989 0.0000 7.362 2.468 10 6 19 6
48 0 0.9980 0.9988 0.9979 4.972 1.856 23 6 5 2 0.9954 0.9988 0.0000 8.523 2.602 23 6 13 3 48 0 0.9940 0.9989 0.0000 4.992 1.960 10 6 15 5 0.9964 0.9989 0.0000 7.313 2.458 10 6 19 6
49 0 0.9980 0.9988 0.9979 5.408 2.056 23 6 10 3 0.9955 0.9988 0.0000 8.461 2.591 23 6 13 3 49 0 0.9980 0.9989 0.9980 4.956 2.028 10 6 1 0 0.9964 0.9989 0.0000 7.266 2.449 10 6 19 6
50 0 0.9980 0.9988 0.9978 5.420 2.040 23 6 3 1 0.9955 0.9988 0.0000 8.401 2.580 23 6 13 3 50 0 0.9980 0.9989 0.9980 4.640 1.912 10 6 3 1 0.9964 0.9989 0.0000 7.215 2.439 10 6 19 6

20
cmake-build-relwithdebinfo/run_7/regress.sys
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@ -14,7 +14,7 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 2034. no random number seed specfied; using 5138.
creating initial population(s): creating initial population(s):
342 trees were generated to fill the population of 250 (250 trees). 342 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -178,13 +178,13 @@ no checkpointing will be done.
SYSTEM STATISTICS SYSTEM STATISTICS
------- memory ------- ------- memory -------
allocated: 3410991 allocated: 3160132
freed: 3362991 freed: 3112132
not freed: 48000 not freed: 48000
max allocated: 222198 max allocated: 209758
malloc'ed blocks: 46958 malloc'ed blocks: 46452
realloc'ed blocks: 7 realloc'ed blocks: 6
free'ed blocks: 46952 free'ed blocks: 46446
------- time ------- ------- time -------
overall: 0s wall overall: 0s wall
@ -192,11 +192,11 @@ SYSTEM STATISTICS
breeding: 0s wall breeding: 0s wall
------- generation spaces ------- ------- generation spaces -------
space 0 size: 200 space 0 size: 100
space 1 size: 100 space 1 size: 100
------- ephemeral random constants ------- ------- ephemeral random constants -------
used: 1151 used: 1121
freed: 1151 freed: 1121
allocated: 1000 allocated: 1000
blocks: 1 blocks: 1

21
cmake-build-relwithdebinfo/run_8/regress.bst
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@ -1,18 +1,21 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 0 generation: 8
nodes: 15 nodes: 13
depth: 5 depth: 5
hits: 525 hits: 789
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 525 hits: 789
raw fitness: 525.0000 raw fitness: 789.0000
standardized fitness: 525.0000 standardized fitness: 789.0000
adjusted fitness: 0.9981 adjusted fitness: 0.9987
TREE: TREE:
(- (+ area perimeter) eccentricity) (+ (/ (- (* eccentricity minor)
(* area
(exp 0.91529))) convex)
(exp eccentricity))
TREE-equ: TREE-equ:
y = ((area + perimeter) - eccentricity) y = ((((eccentricity * minor) - (area * exp(0.91529))) / convex) + exp(eccentricity))

21
cmake-build-relwithdebinfo/run_8/regress.fn
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@ -1,12 +1,15 @@
Hits: 1105, Total Size: 2810, Percent Hit: 39.323843 Hits: 2210, Total Size: 2810, Percent Hit: 78.647687
CC: 1105 CC: 897
CO: 0 CO: 227
OO: 0 OO: 1313
OC: 1705 OC: 373
Fitness: 0.998099 Fitness: 0.998734
Hits: 525 Hits: 789
y = ((area + perimeter) - eccentricity) y = ((((eccentricity * minor) - (area * exp(0.91529))) / convex) + exp(eccentricity))
(- (+ area perimeter) eccentricity) (+ (/ (- (* eccentricity minor)
(* area
(exp 0.91529))) convex)
(exp eccentricity))

1034
cmake-build-relwithdebinfo/run_8/regress.his
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File diff suppressed because it is too large Load Diff

1988
cmake-build-relwithdebinfo/run_8/regress.prg
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File diff suppressed because it is too large Load Diff

56
cmake-build-relwithdebinfo/run_8/regress.stt
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@ -1,6 +1,52 @@
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
0 0 0.9781 0.9981 0.0000 14.860 3.084 15 5 76 6 0.9781 0.9981 0.0000 14.860 3.084 15 5 76 6 0 0 0.9581 0.9980 0.0000 17.276 3.300 1 0 80 6 0.9581 0.9980 0.0000 17.276 3.300 1 0 80 6
1 0 0.9980 0.9981 0.9979 12.840 3.060 15 5 4 2 0.9881 0.9981 0.0000 13.850 3.072 15 5 76 6 1 0 0.9980 0.9987 0.9980 16.392 3.492 20 6 35 5 0.9781 0.9987 0.0000 16.834 3.396 20 6 80 6
2 0 0.9901 0.9981 0.0000 14.180 3.428 15 5 15 4 0.9887 0.9981 0.0000 13.960 3.191 15 5 76 6 2 0 0.9860 0.9987 0.0000 16.440 3.696 20 6 28 9 0.9807 0.9987 0.0000 16.703 3.496 20 6 80 6
3 0 0.9861 0.9981 0.0000 13.708 3.548 15 5 37 5 0.9881 0.9981 0.0000 13.897 3.280 15 5 76 6 3 0 0.9980 0.9987 0.9980 14.416 3.480 20 6 6 2 0.9850 0.9987 0.0000 16.131 3.492 20 6 80 6
4 0 0.9980 0.9981 0.9959 12.492 3.484 15 5 5 3 0.9901 0.9981 0.0000 13.616 3.321 15 5 76 6 4 0 0.9980 0.9987 0.9980 13.980 3.656 20 6 5 2 0.9876 0.9987 0.0000 15.701 3.525 20 6 80 6
5 0 0.9940 0.9987 0.0000 14.128 3.768 20 6 51 10 0.9887 0.9987 0.0000 15.439 3.565 20 6 80 6
6 0 0.9980 0.9987 0.9966 13.556 3.556 20 6 17 7 0.9900 0.9987 0.0000 15.170 3.564 20 6 80 6
7 0 0.9980 0.9987 0.9980 13.888 3.588 20 6 11 5 0.9910 0.9987 0.0000 15.009 3.567 20 6 80 6
8 0 0.9980 0.9987 0.9980 16.616 3.864 13 5 28 8 0.9918 0.9987 0.0000 15.188 3.600 13 5 80 6
9 0 0.9980 0.9987 0.9979 16.444 3.696 13 5 98 13 0.9924 0.9987 0.0000 15.314 3.610 13 5 80 6
10 0 0.9940 0.9987 0.0000 12.012 3.164 13 5 49 12 0.9926 0.9987 0.0000 15.013 3.569 13 5 80 6
11 0 0.9980 0.9987 0.9980 11.188 2.956 13 5 139 13 0.9930 0.9987 0.0000 14.695 3.518 13 5 80 6
12 0 0.9980 0.9987 0.9980 10.552 2.756 13 5 1 0 0.9934 0.9987 0.0000 14.376 3.459 13 5 80 6
13 0 0.9980 0.9987 0.9980 9.376 2.816 13 5 14 6 0.9937 0.9987 0.0000 14.019 3.413 13 5 80 6
14 0 0.9940 0.9987 0.0000 9.888 2.820 13 5 11 5 0.9938 0.9987 0.0000 13.743 3.374 13 5 80 6
15 0 0.9980 0.9987 0.9980 8.776 2.704 13 5 9 3 0.9940 0.9987 0.0000 13.433 3.332 13 5 80 6
16 0 0.9980 0.9987 0.9973 9.264 2.996 13 5 8 4 0.9943 0.9987 0.0000 13.188 3.312 13 5 80 6
17 0 0.9980 0.9987 0.9980 9.264 3.000 13 5 22 8 0.9945 0.9987 0.0000 12.970 3.295 13 5 80 6
18 0 0.9900 0.9987 0.0000 8.764 2.960 13 5 20 6 0.9942 0.9987 0.0000 12.748 3.277 13 5 80 6
19 0 0.9980 0.9987 0.9973 8.116 2.820 13 5 34 8 0.9944 0.9987 0.0000 12.517 3.254 13 5 80 6
20 0 0.9980 0.9987 0.9980 6.616 2.376 13 5 6 3 0.9946 0.9987 0.0000 12.236 3.213 13 5 80 6
21 0 0.9980 0.9987 0.9980 6.952 2.624 13 5 7 3 0.9948 0.9987 0.0000 11.996 3.186 13 5 80 6
22 0 0.9980 0.9987 0.9980 6.584 2.492 13 5 8 3 0.9949 0.9987 0.0000 11.760 3.156 13 5 80 6
23 0 0.9980 0.9987 0.9953 6.800 2.520 13 5 38 9 0.9950 0.9987 0.0000 11.554 3.129 13 5 80 6
24 0 0.9980 0.9987 0.9953 6.692 2.580 13 5 40 9 0.9951 0.9987 0.0000 11.359 3.107 13 5 80 6
25 0 0.9980 0.9987 0.9953 6.600 2.532 13 5 28 9 0.9953 0.9987 0.0000 11.176 3.085 13 5 80 6
26 0 0.9980 0.9987 0.9980 6.176 2.392 13 5 3 1 0.9954 0.9987 0.0000 10.991 3.059 13 5 80 6
27 0 0.9980 0.9987 0.9980 6.268 2.272 13 5 30 10 0.9955 0.9987 0.0000 10.822 3.031 13 5 80 6
28 0 0.9980 0.9987 0.9976 5.992 2.348 13 5 33 10 0.9955 0.9987 0.0000 10.656 3.008 13 5 80 6
29 0 0.9980 0.9987 0.9977 6.360 2.424 13 5 31 10 0.9956 0.9987 0.0000 10.513 2.988 13 5 80 6
30 0 0.9980 0.9987 0.9977 5.976 2.360 13 5 3 1 0.9957 0.9987 0.0000 10.366 2.968 13 5 80 6
31 0 0.9980 0.9987 0.9977 6.160 2.384 13 5 3 1 0.9958 0.9987 0.0000 10.235 2.950 13 5 80 6
32 0 0.9980 0.9987 0.9980 5.632 2.188 13 5 5 2 0.9958 0.9987 0.0000 10.095 2.927 13 5 80 6
33 0 0.9980 0.9987 0.9980 5.964 2.292 13 5 7 3 0.9959 0.9987 0.0000 9.974 2.908 13 5 80 6
34 0 0.9980 0.9987 0.9977 5.472 2.156 13 5 4 2 0.9960 0.9987 0.0000 9.845 2.887 13 5 80 6
35 0 0.9980 0.9987 0.9979 5.700 2.236 13 5 8 4 0.9960 0.9987 0.0000 9.730 2.868 13 5 80 6
36 0 0.9980 0.9987 0.9979 5.380 2.156 13 5 6 3 0.9961 0.9987 0.0000 9.612 2.849 13 5 80 6
37 0 0.9980 0.9987 0.9975 5.156 2.048 13 5 9 4 0.9961 0.9987 0.0000 9.495 2.828 13 5 80 6
38 0 0.9980 0.9987 0.9980 5.220 2.044 13 5 8 3 0.9962 0.9987 0.0000 9.386 2.808 13 5 80 6
39 0 0.9980 0.9987 0.9977 5.536 2.072 13 5 12 4 0.9962 0.9987 0.0000 9.289 2.790 13 5 80 6
40 0 0.9980 0.9987 0.9979 5.624 2.172 13 5 13 5 0.9963 0.9987 0.0000 9.200 2.775 13 5 80 6
41 0 0.9940 0.9987 0.0000 5.204 2.016 13 5 19 6 0.9962 0.9987 0.0000 9.105 2.756 13 5 80 6
42 0 0.9980 0.9987 0.9980 5.164 1.984 13 5 5 2 0.9963 0.9987 0.0000 9.013 2.739 13 5 80 6
43 0 0.9980 0.9987 0.9980 5.512 2.148 13 5 4 3 0.9963 0.9987 0.0000 8.934 2.725 13 5 80 6
44 0 0.9940 0.9987 0.0000 5.880 2.292 13 5 15 4 0.9962 0.9987 0.0000 8.866 2.715 13 5 80 6
45 0 0.9980 0.9987 0.9980 5.880 2.300 13 5 18 7 0.9963 0.9987 0.0000 8.801 2.706 13 5 80 6
46 0 0.9980 0.9987 0.9980 5.864 2.280 13 5 9 4 0.9963 0.9987 0.0000 8.738 2.697 13 5 80 6
47 0 0.9980 0.9987 0.9980 5.804 2.252 13 5 6 3 0.9964 0.9987 0.0000 8.677 2.688 13 5 80 6
48 0 0.9980 0.9987 0.9980 5.604 2.208 13 5 6 2 0.9964 0.9987 0.0000 8.614 2.678 13 5 80 6
49 0 0.9980 0.9987 0.9980 5.952 2.368 13 5 9 3 0.9964 0.9987 0.0000 8.561 2.672 13 5 80 6
50 0 0.9980 0.9987 0.9980 5.476 2.228 13 5 4 2 0.9965 0.9987 0.0000 8.501 2.663 13 5 80 6

167
cmake-build-relwithdebinfo/run_8/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 124. no random number seed specfied; using 810.
creating initial population(s): creating initial population(s):
323 trees were generated to fill the population of 250 (250 trees). 315 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -37,3 +37,166 @@ no checkpointing will be done.
=== generation 4. === generation 4.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 3440455
freed: 3392455
not freed: 48000
max allocated: 214541
malloc'ed blocks: 46490
realloc'ed blocks: 7
free'ed blocks: 46484
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1154
freed: 1154
allocated: 1000
blocks: 1

21
cmake-build-relwithdebinfo/run_9/regress.bst
View File

@ -1,18 +1,19 @@
=== BEST-OF-RUN === === BEST-OF-RUN ===
generation: 6 generation: 14
nodes: 7 nodes: 10
depth: 3 depth: 5
hits: 784 hits: 705
TOP INDIVIDUAL: TOP INDIVIDUAL:
-- #1 -- -- #1 --
hits: 784 hits: 705
raw fitness: 784.0000 raw fitness: 705.0000
standardized fitness: 784.0000 standardized fitness: 705.0000
adjusted fitness: 0.9987 adjusted fitness: 0.9986
TREE: TREE:
(- (+ (/ perimeter -0.03569) convex) perimeter) (/ (/ 0.19802
(* (exp (+ perimeter major)) perimeter)) -0.81639)
TREE-equ: TREE-equ:
y = (((perimeter / -0.03569) + convex) - perimeter) y = ((0.19802 / (exp((perimeter + major)) * perimeter)) / -0.81639)

19
cmake-build-relwithdebinfo/run_9/regress.fn
View File

@ -1,12 +1,13 @@
Hits: 2266, Total Size: 2810, Percent Hit: 80.640569 Hits: 2104, Total Size: 2810, Percent Hit: 74.875445
CC: 791 CC: 435
CO: 364 CO: 705
OO: 1475 OO: 1669
OC: 180 OC: 1
Fitness: 0.998726 Fitness: 0.998584
Hits: 784 Hits: 705
y = (((perimeter / -0.03569) + convex) - perimeter) y = ((0.19802 / (exp((perimeter + major)) * perimeter)) / -0.81639)
(- (+ (/ perimeter -0.03569) convex) perimeter) (/ (/ 0.19802
(* (exp (+ perimeter major)) perimeter)) -0.81639)

1007
cmake-build-relwithdebinfo/run_9/regress.his
View File

File diff suppressed because it is too large Load Diff

1986
cmake-build-relwithdebinfo/run_9/regress.prg
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File diff suppressed because it is too large Load Diff

76
cmake-build-relwithdebinfo/run_9/regress.stt
View File

@ -1,26 +1,52 @@
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
0 0 0.9461 0.9983 0.0000 18.960 3.340 84 6 51 6 0.9461 0.9983 0.0000 18.960 3.340 84 6 51 6 0 0 0.9820 0.9984 0.0000 16.676 3.356 55 6 62 6 0.9820 0.9984 0.0000 16.676 3.356 55 6 62 6
1 0 0.9979 0.9983 0.9973 16.300 3.348 84 6 83 6 0.9720 0.9983 0.0000 17.630 3.344 84 6 51 6 1 0 0.9700 0.9984 0.0000 14.752 3.472 55 6 80 6 0.9760 0.9984 0.0000 15.714 3.414 55 6 62 6
2 0 0.9979 0.9983 0.9975 14.248 3.196 84 6 84 7 0.9806 0.9983 0.0000 16.503 3.295 84 6 51 6 2 0 0.9940 0.9984 0.0000 13.968 3.388 55 6 11 5 0.9820 0.9984 0.0000 15.132 3.405 55 6 62 6
3 0 0.9979 0.9983 0.9976 14.524 3.216 84 6 61 6 0.9850 0.9983 0.0000 16.008 3.275 84 6 51 6 3 0 0.9940 0.9984 0.0000 14.032 3.444 55 6 13 5 0.9850 0.9984 0.0000 14.857 3.415 55 6 62 6
4 0 0.9940 0.9987 0.0000 13.844 3.220 7 3 24 7 0.9868 0.9987 0.0000 15.575 3.264 7 3 51 6 4 0 0.9980 0.9985 0.9977 14.048 3.480 7 3 5 2 0.9876 0.9985 0.0000 14.695 3.428 7 3 62 6
5 0 0.9860 0.9987 0.0000 13.560 3.244 7 3 37 11 0.9866 0.9987 0.0000 15.239 3.261 7 3 51 6 5 0 0.9940 0.9985 0.0000 13.992 3.552 7 3 28 7 0.9887 0.9985 0.0000 14.578 3.449 7 3 62 6
6 0 0.9940 0.9987 0.0000 11.144 3.000 7 3 39 8 0.9877 0.9987 0.0000 14.654 3.223 7 3 51 6 6 0 0.9980 0.9985 0.9980 13.292 3.476 7 3 4 3 0.9900 0.9985 0.0000 14.394 3.453 7 3 62 6
7 0 0.9979 0.9987 0.9978 9.648 2.884 7 3 82 7 0.9890 0.9987 0.0000 14.028 3.181 7 3 51 6 7 0 0.9980 0.9985 0.9966 13.668 3.456 7 3 16 6 0.9910 0.9985 0.0000 14.303 3.453 7 3 62 6
8 0 0.9979 0.9987 0.9976 8.820 2.672 7 3 80 7 0.9900 0.9987 0.0000 13.450 3.124 7 3 51 6 8 0 0.9980 0.9985 0.9980 13.876 3.380 7 3 1 0 0.9918 0.9985 0.0000 14.256 3.445 7 3 62 6
9 0 0.9979 0.9987 0.9979 8.068 2.608 7 3 1 0 0.9908 0.9987 0.0000 12.912 3.073 7 3 51 6 9 0 0.9860 0.9985 0.0000 16.684 3.880 7 3 66 15 0.9912 0.9985 0.0000 14.499 3.488 7 3 62 6
10 0 0.9980 0.9987 0.9979 6.864 2.356 7 3 3 1 0.9914 0.9987 0.0000 12.362 3.008 7 3 51 6 10 0 0.9900 0.9985 0.0000 15.896 3.748 7 3 110 12 0.9911 0.9985 0.0000 14.626 3.512 7 3 62 6
11 0 0.9980 0.9987 0.9979 6.920 2.424 7 3 11 5 0.9920 0.9987 0.0000 11.908 2.959 7 3 51 6 11 0 0.9940 0.9985 0.0000 16.740 4.156 7 3 79 10 0.9913 0.9985 0.0000 14.802 3.566 7 3 62 6
12 0 0.9980 0.9987 0.9979 6.124 2.088 7 3 8 3 0.9924 0.9987 0.0000 11.463 2.892 7 3 51 6 12 0 0.9900 0.9985 0.0000 16.372 4.128 7 3 15 6 0.9912 0.9985 0.0000 14.923 3.609 7 3 62 6
13 0 0.9979 0.9987 0.9979 5.388 1.980 7 3 3 1 0.9928 0.9987 0.0000 11.029 2.827 7 3 51 6 13 0 0.9940 0.9985 0.0000 15.704 4.136 7 3 43 9 0.9914 0.9985 0.0000 14.979 3.647 7 3 62 6
14 0 0.9980 0.9987 0.9979 5.932 2.216 7 3 3 1 0.9932 0.9987 0.0000 10.690 2.786 7 3 51 6 14 0 0.9900 0.9986 0.0000 15.632 4.224 10 5 34 10 0.9913 0.9986 0.0000 15.022 3.685 10 5 62 6
15 0 0.9979 0.9987 0.9979 6.344 2.384 7 3 27 10 0.9935 0.9987 0.0000 10.418 2.761 7 3 51 6 15 0 0.9980 0.9986 0.9961 13.724 4.144 10 5 21 8 0.9917 0.9986 0.0000 14.941 3.714 10 5 62 6
16 0 0.9980 0.9987 0.9979 5.444 2.104 7 3 5 2 0.9937 0.9987 0.0000 10.125 2.722 7 3 51 6 16 0 0.9940 0.9986 0.0000 11.332 3.804 10 5 23 8 0.9919 0.9986 0.0000 14.729 3.719 10 5 62 6
17 0 0.9940 0.9987 0.0000 4.816 1.944 7 3 20 7 0.9937 0.9987 0.0000 9.830 2.679 7 3 51 6 17 0 0.9940 0.9986 0.0000 10.504 3.568 10 5 43 10 0.9920 0.9986 0.0000 14.494 3.711 10 5 62 6
18 0 0.9979 0.9987 0.9979 4.720 1.860 7 3 1 0 0.9940 0.9987 0.0000 9.561 2.636 7 3 51 6 18 0 0.9980 0.9986 0.9968 9.268 3.116 10 5 9 4 0.9923 0.9986 0.0000 14.219 3.679 10 5 62 6
19 0 0.9979 0.9987 0.9979 4.708 1.892 7 3 1 0 0.9942 0.9987 0.0000 9.319 2.599 7 3 51 6 19 0 0.9980 0.9986 0.9975 7.996 2.744 10 5 5 2 0.9926 0.9986 0.0000 13.908 3.633 10 5 62 6
20 0 0.9979 0.9987 0.9979 5.108 2.040 7 3 4 2 0.9943 0.9987 0.0000 9.118 2.572 7 3 51 6 20 0 0.9980 0.9986 0.9980 7.560 2.572 10 5 13 6 0.9929 0.9986 0.0000 13.606 3.582 10 5 62 6
21 0 0.9979 0.9987 0.9979 4.844 1.940 7 3 2 1 0.9945 0.9987 0.0000 8.924 2.543 7 3 51 6 21 0 0.9980 0.9986 0.9980 5.444 2.068 10 5 2 1 0.9931 0.9986 0.0000 13.235 3.513 10 5 62 6
22 0 0.9979 0.9987 0.9979 4.280 1.688 7 3 1 0 0.9946 0.9987 0.0000 8.722 2.506 7 3 51 6 22 0 0.9940 0.9986 0.0000 5.284 1.948 10 5 27 6 0.9931 0.9986 0.0000 12.889 3.445 10 5 62 6
23 0 0.9979 0.9987 0.9979 4.256 1.676 7 3 11 4 0.9948 0.9987 0.0000 8.536 2.472 7 3 51 6 23 0 0.9980 0.9986 0.9974 4.924 1.920 10 5 3 1 0.9933 0.9986 0.0000 12.557 3.382 10 5 62 6
24 0 0.9979 0.9987 0.9979 4.176 1.716 7 3 5 2 0.9949 0.9987 0.0000 8.362 2.441 7 3 51 6 24 0 0.9980 0.9986 0.9980 5.180 1.984 10 5 4 2 0.9935 0.9986 0.0000 12.262 3.326 10 5 62 6
25 0 0.9980 0.9986 0.9980 5.388 2.128 10 5 3 1 0.9937 0.9986 0.0000 11.998 3.280 10 5 62 6
26 0 0.9980 0.9986 0.9980 4.988 1.964 10 5 2 1 0.9938 0.9986 0.0000 11.738 3.231 10 5 62 6
27 0 0.9980 0.9986 0.9979 4.840 1.964 10 5 5 3 0.9940 0.9986 0.0000 11.492 3.186 10 5 62 6
28 0 0.9980 0.9986 0.9978 4.924 2.012 10 5 9 3 0.9941 0.9986 0.0000 11.265 3.145 10 5 62 6
29 0 0.9940 0.9986 0.0000 5.232 2.148 10 5 19 4 0.9941 0.9986 0.0000 11.064 3.112 10 5 62 6
30 0 0.9980 0.9986 0.9980 4.828 1.936 10 5 3 1 0.9943 0.9986 0.0000 10.863 3.074 10 5 62 6
31 0 0.9980 0.9986 0.9980 4.872 1.976 10 5 5 2 0.9944 0.9986 0.0000 10.676 3.040 10 5 62 6
32 0 0.9980 0.9986 0.9980 5.048 2.004 10 5 2 1 0.9945 0.9986 0.0000 10.505 3.008 10 5 62 6
33 0 0.9940 0.9986 0.0000 4.568 1.772 10 5 13 4 0.9945 0.9986 0.0000 10.330 2.972 10 5 62 6
34 0 0.9980 0.9986 0.9980 4.768 1.900 10 5 3 1 0.9946 0.9986 0.0000 10.172 2.941 10 5 62 6
35 0 0.9980 0.9986 0.9980 4.932 2.012 10 5 7 4 0.9947 0.9986 0.0000 10.026 2.916 10 5 62 6
36 0 0.9980 0.9986 0.9980 4.964 2.052 10 5 2 1 0.9947 0.9986 0.0000 9.889 2.892 10 5 62 6
37 0 0.9980 0.9986 0.9980 5.208 2.164 10 5 3 1 0.9948 0.9986 0.0000 9.766 2.873 10 5 62 6
38 0 0.9980 0.9986 0.9980 5.052 2.152 10 5 7 2 0.9949 0.9986 0.0000 9.645 2.855 10 5 62 6
39 0 0.9980 0.9986 0.9979 4.644 1.936 10 5 7 2 0.9950 0.9986 0.0000 9.520 2.832 10 5 62 6
40 0 0.9980 0.9986 0.9980 4.236 1.744 10 5 10 5 0.9951 0.9986 0.0000 9.391 2.805 10 5 62 6
41 0 0.9980 0.9986 0.9980 4.236 1.716 10 5 1 0 0.9951 0.9986 0.0000 9.268 2.779 10 5 62 6
42 0 0.9940 0.9986 0.0000 4.332 1.716 10 5 18 6 0.9951 0.9986 0.0000 9.154 2.754 10 5 62 6
43 0 0.9980 0.9986 0.9980 4.428 1.668 10 5 1 0 0.9952 0.9986 0.0000 9.046 2.730 10 5 62 6
44 0 0.9980 0.9986 0.9980 5.180 1.948 10 5 1 0 0.9952 0.9986 0.0000 8.960 2.712 10 5 62 6
45 0 0.9980 0.9986 0.9978 4.672 1.824 10 5 3 1 0.9953 0.9986 0.0000 8.867 2.693 10 5 62 6
46 0 0.9980 0.9986 0.9980 4.912 1.948 10 5 2 1 0.9954 0.9986 0.0000 8.783 2.677 10 5 62 6
47 0 0.9980 0.9986 0.9980 4.440 1.832 10 5 2 1 0.9954 0.9986 0.0000 8.693 2.660 10 5 62 6
48 0 0.9980 0.9986 0.9979 4.504 1.852 10 5 10 4 0.9955 0.9986 0.0000 8.607 2.643 10 5 62 6
49 0 0.9980 0.9986 0.9977 4.384 1.820 10 5 9 5 0.9955 0.9986 0.0000 8.523 2.627 10 5 62 6
50 0 0.9980 0.9986 0.9980 4.676 1.944 10 5 1 0 0.9956 0.9986 0.0000 8.447 2.613 10 5 62 6

107
cmake-build-relwithdebinfo/run_9/regress.sys
View File

@ -14,9 +14,9 @@ building function set(s):
set 0: * / + - exp log area perimeter major minor eccentricity convex extent R set 0: * / + - exp log area perimeter major minor eccentricity convex extent R
tree 0 uses function set 0. tree 0 uses function set 0.
function set complete. function set complete.
no random number seed specfied; using 2487. no random number seed specfied; using 401.
creating initial population(s): creating initial population(s):
324 trees were generated to fill the population of 250 (250 trees). 331 trees were generated to fill the population of 250 (250 trees).
initial population(s) complete. initial population(s) complete.
@ -97,3 +97,106 @@ no checkpointing will be done.
=== generation 24. === generation 24.
evaluation complete. (0s wall) evaluation complete. (0s wall)
breeding 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. (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. (0s wall)
=== generation 50.
evaluation complete. (0s wall)
SYSTEM STATISTICS
------- memory -------
allocated: 3437043
freed: 3389043
not freed: 48000
max allocated: 213685
malloc'ed blocks: 46585
realloc'ed blocks: 7
free'ed blocks: 46579
------- time -------
overall: 0s wall
evaluation: 0s wall
breeding: 0s wall
------- generation spaces -------
space 0 size: 200
space 1 size: 100
------- ephemeral random constants -------
used: 1136
freed: 1136
allocated: 1000
blocks: 1

45
include/aggregation.h
View File

@ -30,6 +30,7 @@
#include <blt/std/logging.h> #include <blt/std/logging.h>
#include <blt/std/utility.h> #include <blt/std/utility.h>
#include <string_view> #include <string_view>
#include <utility>
template<typename T> template<typename T>
static inline void fill_value(T& v, const std::string& str) static inline void fill_value(T& v, const std::string& str)
@ -102,6 +103,10 @@ struct fn_file
// total data values // total data values
blt::size_t total = 0; blt::size_t total = 0;
fn_file& operator+=(const fn_file& r);
fn_file& operator/=(int i);
static fn_file from_file(std::string_view file); static fn_file from_file(std::string_view file);
}; };
@ -116,12 +121,30 @@ struct run_stats
struct search_stats struct search_stats
{ {
std::vector<run_stats> runs; std::vector<run_stats> runs;
// return the best based on gen count, ie normally only the runs that actually complete
std::vector<run_stats> getBestFromGenerations();
std::vector<run_stats> getBestFromFitness();
std::vector<run_stats> getBestFromHits();
};
struct averaged_stats
{
run_stats stats;
blt::size_t count;
explicit averaged_stats(run_stats stats, blt::size_t count): stats(std::move(stats)), count(count)
{}
static averaged_stats from_vec(const std::vector<run_stats>& runs);
}; };
// in case you are wondering why all these functions are using template parameters, it is so that I can pass BLT_?*_STREAM into them // in case you are wondering why all these functions are using template parameters, it is so that I can pass BLT_?*_STREAM into them
// allowing for output to stdout // allowing for output to stdout
template<typename T> template<typename T>
inline void write_record(T& writer, const stt_record& r) inline void write_stt_record(T& writer, const stt_record& r)
{ {
writer << r.gen << '\t'; writer << r.gen << '\t';
writer << r.sub << '\t'; writer << r.sub << '\t';
@ -146,6 +169,26 @@ inline void write_record(T& writer, const stt_record& r)
writer << r.worse_tree_depth_run << '\n'; writer << r.worse_tree_depth_run << '\n';
} }
template<typename T>
inline void write_stt_header(T& writer)
{
writer << "GEN#\tSUB#\tμFGEN\tFsBestGEN\tFsWorstGEN\tμTreeSzGEN\tμTreeDpGEN\tbTreeSzGEN\tbTreeDpGEN\twTreeSzGEN\twTreeDpGEN\tμFRUN\t"
"FsBestRUN\tFsWorstRUN\tμTreeSzRUN\tμTreeDpRUN\tbTreeSzRUN\tbTreeDpRUN\twTreeSzRUN\twTreeDpRUN\n";
}
template<typename T>
inline void write_fn_file(T& writer, const fn_file& file)
{
writer << "Hits\tTotal\n";
writer << file.hits << '\t' << file.total << '\n';
writer << "Percent Hit:\t" << ((static_cast<double>(file.hits) / static_cast<double>(file.total)) * 100) << "%\n";
writer << "Fitness\n";
writer << file.fitness << '\n';
writer << "Real|Predicted\n";
writer << "Cammeo|Cammeo\tCammeo|Osmancik\tOsmancik|Osmancik\tOsmancik|Cammeo\n";
writer << file.cc << '\t' << file.co << '\t' << file.oo << '\t' << file.oc << '\n';
}
void process_files(const std::string& outfile, const std::string& writefile, int runs); void process_files(const std::string& outfile, const std::string& writefile, int runs);
#endif //FINALPROJECT_RUNNER_AGGREGATION_H #endif //FINALPROJECT_RUNNER_AGGREGATION_H

2
lib/blt

@ -1 +1 @@
Subproject commit 1e6bc67850a3f788b9bd19a4271af4eeb55419a0 Subproject commit 496a1d6db7e645ddcc29b7dfce50b6b28f51a1bb

141
src/runner/aggregation.cpp
View File

@ -168,6 +168,30 @@ fn_file fn_file::from_file(std::string_view file)
return record; return record;
} }
fn_file& fn_file::operator+=(const fn_file& r)
{
cc += r.cc;
co += r.co;
oc += r.oc;
oo += r.oo;
fitness += r.fitness;
hits += r.hits;
total += r.total;
return *this;
}
fn_file& fn_file::operator/=(int i)
{
cc /= i;
co /= i;
oo /= i;
oc /= i;
fitness /= i;
hits /= i;
total /= i;
return *this;
}
run_stats run_stats::from_file(std::string_view sst_file, std::string_view fn_file) run_stats run_stats::from_file(std::string_view sst_file, std::string_view fn_file)
{ {
run_stats stats; run_stats stats;
@ -176,35 +200,83 @@ run_stats run_stats::from_file(std::string_view sst_file, std::string_view fn_fi
return stats; return stats;
} }
std::vector<run_stats> search_stats::getBestFromGenerations()
void process_stt_file(runs_stt_data& data, int& max_gen, std::string_view file)
{ {
auto lines = blt::fs::getLinesFromFile(file); std::sort(runs.begin(), runs.end(), [](const run_stats& a, const run_stats& b) {
for (std::string_view line : blt::itr_offset(lines, 1)) return a.stt.generations > b.stt.generations;
});
std::vector<run_stats> best;
blt::size_t generation = runs[0].stt.generations;
for (const auto& v : runs)
{ {
auto values = blt::string::split(line, '\t'); if (v.stt.generations == generation)
if (values.size() <= 1) best.push_back(v);
continue;
else if (values.size() < 21)
{
BLT_WARN("Size of vector (%ld) is less than expected (21). Skipping line!", values.size());
continue;
} }
blt::size_t idx = 0; return best;
auto generation = std::stoi(values[idx++]);
max_gen = std::max(max_gen, generation);
data.averages[generation].push_back(stt_record::from_string_array(generation, idx, values));
} }
std::vector<run_stats> search_stats::getBestFromFitness()
{
std::sort(runs.begin(), runs.end(), [](const run_stats& a, const run_stats& b) {
return a.fn.fitness > b.fn.fitness;
});
std::vector<run_stats> best;
double fitness = runs[0].fn.fitness;
for (const auto& v : runs)
{
if (v.fn.fitness >= fitness)
best.push_back(v);
}
return best;
}
std::vector<run_stats> search_stats::getBestFromHits()
{
std::sort(runs.begin(), runs.end(), [](const run_stats& a, const run_stats& b) {
return (static_cast<double>(a.fn.hits) / static_cast<double>(a.fn.total)) >
(static_cast<double>(b.fn.hits) / static_cast<double>(b.fn.total));
});
std::vector<run_stats> best;
double hits = (static_cast<double>(runs[0].fn.hits) / static_cast<double>(runs[0].fn.total));
for (const auto& v : runs)
{
if ((static_cast<double>(v.fn.hits) / static_cast<double>(v.fn.total)) >= hits)
best.push_back(v);
}
return best;
}
averaged_stats averaged_stats::from_vec(const std::vector<run_stats>& runs)
{
run_stats stats;
auto it = runs.begin();
// populate stt stats
for (const auto& v : it->stt.records)
stats.stt.records.push_back(v);
// populate fn file
stats.fn = it->fn;
while (++it != runs.end())
{
// combine stt records
for (const auto& v : blt::enumerate(it->stt.records))
stats.stt.records[v.first] += v.second;
// combine fn records
stats.fn += it->fn;
}
// take the mean
stats.fn /= static_cast<int>(runs.size());
for (auto& v : stats.stt.records)
v /= static_cast<int>(runs.size());
return averaged_stats(stats, runs.size());
} }
void process_files(const std::string& outfile, const std::string& writefile, int runs) void process_files(const std::string& outfile, const std::string& writefile, int runs)
{ {
const auto writefile_avg = writefile + ".tsv";
const auto writefile_run = writefile + "_runs.tsv";
const auto writefile_fn = writefile + "_fn.tsv";
search_stats stats; search_stats stats;
for (int i = 0; i < runs; i++) for (int i = 0; i < runs; i++)
@ -213,5 +285,30 @@ void process_files(const std::string& outfile, const std::string& writefile, int
stats.runs.push_back(run_stats::from_file(path + ".stt", path + ".fn")); stats.runs.push_back(run_stats::from_file(path + ".stt", path + ".fn"));
} }
BLT_TRACE("Hello there!"); auto best_gens = averaged_stats::from_vec(stats.getBestFromGenerations());
auto best_fit = averaged_stats::from_vec(stats.getBestFromFitness());
auto best_hits = averaged_stats::from_vec(stats.getBestFromHits());
std::ofstream writer_best_gens(writefile + "_best_generations.tsv");
std::ofstream writer_best_fit(writefile + "_best_fitness.tsv");
std::ofstream writer_best_hits(writefile + "_best_hits.tsv");
writer_best_gens << "Aggregation Count:\t" << best_gens.count << '\n';
writer_best_fit << "Aggregation Count:\t" << best_fit.count << '\n';
writer_best_hits << "Aggregation Count:\t" << best_hits.count << '\n';
write_fn_file(writer_best_gens, best_gens.stats.fn);
write_fn_file(writer_best_fit, best_fit.stats.fn);
write_fn_file(writer_best_hits, best_hits.stats.fn);
write_stt_header(writer_best_gens);
write_stt_header(writer_best_fit);
write_stt_header(writer_best_hits);
for (const auto& v : best_gens.stats.stt.records)
write_stt_record(writer_best_gens, v);
for (const auto& v : best_fit.stats.stt.records)
write_stt_record(writer_best_fit, v);
for (const auto& v : best_hits.stats.stt.records)
write_stt_record(writer_best_hits, v);
} }

3
src/runner/main.cpp
View File

@ -291,7 +291,6 @@ outer_while:
} else } else
{ {
std::memcpy(&packet, buffer, sizeof(buffer)); std::memcpy(&packet, buffer, sizeof(buffer));
BLT_INFO("We got packet %d", static_cast<int>(packet.id));
child.second->handlePacket(packet); child.second->handlePacket(packet);
} }
} while (ret > 0); } while (ret > 0);
@ -398,7 +397,7 @@ int main(int argc, const char** argv)
blt::arg_parse parser; blt::arg_parse parser;
parser.addArgument(blt::arg_builder("-n", "--num_pops").setDefault("10").setHelp("Number of populations to start").build()); parser.addArgument(blt::arg_builder("-n", "--num_pops").setDefault("10").setHelp("Number of populations to start").build());
parser.addArgument(blt::arg_builder("-g", "--num_gen").setDefault("5").setHelp("Number of generations between pruning").build()); parser.addArgument(blt::arg_builder("-g", "--num_gen").setDefault("500").setHelp("Number of generations between pruning").build());
parser.addArgument(blt::arg_builder("-p", "--prune_ratio").setDefault("0.2").setHelp("Number of generations to run before pruning").build()); parser.addArgument(blt::arg_builder("-p", "--prune_ratio").setDefault("0.2").setHelp("Number of generations to run before pruning").build());
parser.addArgument(blt::arg_builder("--program").setDefault("./FinalProject").setHelp("GP Program to execute per run").build()); parser.addArgument(blt::arg_builder("--program").setDefault("./FinalProject").setHelp("GP Program to execute per run").build());
parser.addArgument(blt::arg_builder("--out_file").setDefault("regress") parser.addArgument(blt::arg_builder("--out_file").setDefault("regress")

6
src/runner/main.disabled
View File

@ -372,7 +372,7 @@ inline runs_stt_data get_per_generation_averages(const std::string& outfile, int
// encase you are wondering why all these functions are using template parameters, it is so that I can pass BLT_?*_STREAM into them // encase you are wondering why all these functions are using template parameters, it is so that I can pass BLT_?*_STREAM into them
// allowing for output to stdout // allowing for output to stdout
template<typename T> template<typename T>
inline void write_record(T& writer, const stt_record& r) inline void write_stt_record(T& writer, const stt_record& r)
{ {
writer << r.gen << '\t'; writer << r.gen << '\t';
writer << r.sub << '\t'; writer << r.sub << '\t';
@ -456,7 +456,7 @@ inline void write_averaged_output(const std::string& writefile, const runs_stt_d
"FsBestRUN\tFsWorstRUN\tμTreeSzRUN\tμTreeDpRUN\tbTreeSzRUN\tbTreeDpRUN\twTreeSzRUN\twTreeDpRUN\n"; "FsBestRUN\tFsWorstRUN\tμTreeSzRUN\tμTreeDpRUN\tbTreeSzRUN\tbTreeDpRUN\twTreeSzRUN\twTreeDpRUN\n";
for (const auto& r : generation_averages) for (const auto& r : generation_averages)
write_record(writer, r); write_stt_record(writer, r);
} }
inline void write_full_output(const std::string& writefile, const runs_stt_data& data, const std::vector<std::vector<stt_record>>& ordered_records) inline void write_full_output(const std::string& writefile, const runs_stt_data& data, const std::vector<std::vector<stt_record>>& ordered_records)
@ -499,7 +499,7 @@ inline void write_full_output(const std::string& writefile, const runs_stt_data&
// after we create the rows which will calculate the required data for us, we can write all the runs information into the file. Ordered by gen // after we create the rows which will calculate the required data for us, we can write all the runs information into the file. Ordered by gen
for (const auto& run : ordered_records) for (const auto& run : ordered_records)
for (const auto& v : run) for (const auto& v : run)
write_record(writer, v); write_stt_record(writer, v);
} }
void process_stt(const std::string& outfile, const std::string& writefile, const std::string& writefile_run, int runs) void process_stt(const std::string& outfile, const std::string& writefile, const std::string& writefile_run, int runs)