tri11paragon
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COSC-4P82-Final-Project
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aggregation

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 @@
</option>
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@ -307,7 +307,7 @@
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"node.js.detected.package.tslint": "true",

2
CMakeLists.txt
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@ -1,6 +1,6 @@
cmake_minimum_required(VERSION 3.20.2)
project(FinalProject C CXX)
set(PROJECT_VERSION 0.3.4)
set(PROJECT_VERSION 0.4.0)
option(ENABLE_ADDRSAN "Enable the address sanitizer" OFF)
option(ENABLE_UBSAN "Enable the ub sanitizer" OFF)

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cmake-build-relwithdebinfo/run_0/regress.bst
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@ -1,18 +1,32 @@
=== BEST-OF-RUN ===
generation: 7
nodes: 5
depth: 2
hits: 573
generation: 46
nodes: 54
depth: 7
hits: 848
TOP INDIVIDUAL:
-- #1 --
hits: 573
raw fitness: 573.0000
standardized fitness: 573.0000
adjusted fitness: 0.9983
hits: 848
raw fitness: 848.0000
standardized fitness: 848.0000
adjusted fitness: 0.9988
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:
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
CC: 370
CO: 760
OO: 1468
OC: 212
Fitness: 0.998258
Hits: 573
Hits: 2369, Total Size: 2810, Percent Hit: 84.306050
CC: 939
CO: 206
OO: 1430
OC: 235
Fitness: 0.998822
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)))))

1492
cmake-build-relwithdebinfo/run_0/regress.his
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cmake-build-relwithdebinfo/run_0/regress.prg
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61
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
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
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
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
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
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
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
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
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
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
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
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 0.9980 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 0.9860 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 0.9940 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 0.9983 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 0.9820 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 0.9900 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 0.9860 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 0.9940 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 0.9860 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 1984.
no random number seed specfied; using 15.
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.
@ -52,3 +52,151 @@ no checkpointing will be done.
=== 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: 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 ===
generation: 0
nodes: 20
depth: 4
hits: 572
generation: 11
nodes: 9
depth: 5
hits: 721
TOP INDIVIDUAL:
-- #1 --
hits: 572
raw fitness: 572.0000
standardized fitness: 572.0000
adjusted fitness: 0.9983
hits: 721
raw fitness: 721.0000
standardized fitness: 721.0000
adjusted fitness: 0.9986
TREE:
(/ (exp (- (- area major)
(+ area perimeter)))
(* (log (exp perimeter))
(- (- -0.74710 minor)
(+ perimeter extent))))
(log (/ convex
(* minor
(/ minor
(exp -0.59814)))))
TREE-equ:
y = (exp(((area - major) - (area + perimeter))) / (log(exp(perimeter)) * ((-0.74710 - minor) - (perimeter + extent))))
y = log((convex / (minor * (minor / exp(-0.59814)))))

25
cmake-build-relwithdebinfo/run_1/regress.fn
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@ -1,16 +1,15 @@
Hits: 1789, Total Size: 2810, Percent Hit: 63.665480
CC: 123
CO: 1021
OO: 1666
OC: 0
Fitness: 0.998255
Hits: 572
Hits: 2165, Total Size: 2810, Percent Hit: 77.046263
CC: 638
CO: 465
OO: 1527
OC: 180
Fitness: 0.998615
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)
(+ area perimeter)))
(* (log (exp perimeter))
(- (- -0.74710 minor)
(+ perimeter extent))))
(log (/ convex
(* minor
(/ minor
(exp -0.59814)))))

1122
cmake-build-relwithdebinfo/run_1/regress.his
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cmake-build-relwithdebinfo/run_1/regress.prg
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cmake-build-relwithdebinfo/run_1/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
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
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
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
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
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
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
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
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
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
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
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 0.9941 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 0.9901 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 0.9901 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 0.9901 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 0.9981 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 0.9941 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 0.9941 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 0.9941 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 0.9981 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 95.
no random number seed specfied; using 216.
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.
@ -52,3 +52,151 @@ no checkpointing will be done.
=== 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: 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 ===
generation: 11
nodes: 43
depth: 6
hits: 778
generation: 27
nodes: 6
depth: 3
hits: 723
TOP INDIVIDUAL:
-- #1 --
hits: 778
raw fitness: 778.0000
standardized fitness: 778.0000
adjusted fitness: 0.9987
hits: 723
raw fitness: 723.0000
standardized fitness: 723.0000
adjusted fitness: 0.9986
TREE:
(- (/ (+ (* (/ (+ 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))
(+ (+ (log eccentricity) eccentricity) -0.74410)
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
CC: 931
CO: 205
OO: 1145
OC: 529
Fitness: 0.998716
Hits: 778
Hits: 1928, Total Size: 2810, Percent Hit: 68.612100
CC: 1084
CO: 47
OO: 844
OC: 835
Fitness: 0.998619
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)
(/ 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))
(+ (+ (log eccentricity) eccentricity) -0.74410)

1161
cmake-build-relwithdebinfo/run_2/regress.his
View File

File diff suppressed because it is too large Load Diff

1986
cmake-build-relwithdebinfo/run_2/regress.prg
View File

File diff suppressed because it is too large Load Diff

71
cmake-build-relwithdebinfo/run_2/regress.stt
View File

@ -1,21 +1,52 @@
GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN
0 0 0.9541 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 0.9940 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 0.9900 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 0.9980 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 0.9980 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 0.9980 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 0.9900 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 0.9900 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 0.9860 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 0.9860 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 0.9820 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 0.9984 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 0.9984 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 0.9984 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 0.9900 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 0.9940 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 0.9984 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 0.9984 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 0.9900 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 0.9900 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 63.
no random number seed specfied; using 1334.
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.
@ -82,3 +82,121 @@ no checkpointing will be done.
=== 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: 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 ===
generation: 0
nodes: 24
depth: 5
hits: 573
generation: 44
nodes: 15
depth: 4
hits: 765
TOP INDIVIDUAL:
-- #1 --
hits: 573
raw fitness: 573.0000
standardized fitness: 573.0000
adjusted fitness: 0.9983
hits: 765
raw fitness: 765.0000
standardized fitness: 765.0000
adjusted fitness: 0.9987
TREE:
(* (log (log (* (log eccentricity)
(exp eccentricity))))
(log (- (* (+ major eccentricity)
(+ perimeter major))
(/ (/ major eccentricity)
(/ perimeter convex)))))
(/ (- (* 0.00059 area) eccentricity)
(* minor
(* (+ -0.88763 eccentricity)
(/ convex extent))))
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
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@ -1,17 +1,15 @@
Hits: 1315, Total Size: 2810, Percent Hit: 46.797153
CC: 1112
CO: 6
OO: 203
OC: 1489
Fitness: 0.998258
Hits: 573
Hits: 2200, Total Size: 2810, Percent Hit: 78.291815
CC: 1004
CO: 161
OO: 1196
OC: 449
Fitness: 0.998695
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)
(exp eccentricity))))
(log (- (* (+ major eccentricity)
(+ perimeter major))
(/ (/ major eccentricity)
(/ perimeter convex)))))
(/ (- (* 0.00059 area) eccentricity)
(* minor
(* (+ -0.88763 eccentricity)
(/ convex extent))))

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
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
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
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
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
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
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
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
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
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
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
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 0.9979 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 0.9899 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 0.9979 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 0.9939 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 0.9979 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 0.9899 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 0.9979 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 0.9939 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 0.9979 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 991.
no random number seed specfied; using 466.
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.
@ -52,3 +52,151 @@ no checkpointing will be done.
=== 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: 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
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@ -1,26 +1,29 @@
=== BEST-OF-RUN ===
generation: 4
nodes: 38
nodes: 52
depth: 8
hits: 532
hits: 720
TOP INDIVIDUAL:
-- #1 --
hits: 532
raw fitness: 532.0000
standardized fitness: 532.0000
adjusted fitness: 0.9981
hits: 720
raw fitness: 720.0000
standardized fitness: 720.0000
adjusted fitness: 0.9986
TREE:
(* (- (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)))))
(* (* (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)))))
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
CC: 12
CO: 1146
OO: 1650
OC: 2
Fitness: 0.998124
Hits: 532
Hits: 2148, Total Size: 2810, Percent Hit: 76.441281
CC: 472
CO: 662
OO: 1676
OC: 0
Fitness: 0.998613
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 convex)))
(+ (- (/ 0.10974 extent)
(/ area 0.97881))
(log (/ perimeter minor))))
(log (- (/ (* (- extent
(log (exp extent))) convex)
(* eccentricity perimeter))
(log (/ minor major)))))
(* (* (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)))))

1389
cmake-build-relwithdebinfo/run_4/regress.his
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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
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
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
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
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
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
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 0.9940 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 0.9860 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 0.9820 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 0.9940 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 164.
no random number seed specfied; using 1157.
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.
@ -37,3 +37,166 @@ no checkpointing will be done.
=== generation 4.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 5.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 6.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 7.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 8.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 9.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 10.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 11.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 12.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 13.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 14.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 15.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 16.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 17.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 18.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 19.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 20.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 21.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 22.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 23.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 24.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 25.
evaluation complete. (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 ===
generation: 0
nodes: 2
depth: 1
hits: 513
generation: 29
nodes: 27
depth: 6
hits: 895
TOP INDIVIDUAL:
-- #1 --
hits: 513
raw fitness: 513.0000
standardized fitness: 513.0000
adjusted fitness: 0.9981
hits: 895
raw fitness: 895.0000
standardized fitness: 895.0000
adjusted fitness: 0.9989
TREE:
(* (/ (exp (+ major minor))
(- (* eccentricity major)
(* 0.97781 minor)))
(+ (exp (- eccentricity convex))
(* (* 0.49033 minor)
(log eccentricity))))
(log (+ (log (/ (+ convex perimeter) extent))
(/ (/ (+ (/ area perimeter)
(+ perimeter -0.43095))
(log (/ major area)))
(+ extent
(log (/ area extent))))))
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
CC: 0
CO: 1143
OO: 1667
OC: 0
Fitness: 0.998054
Hits: 513
Hits: 2510, Total Size: 2810, Percent Hit: 89.323843
CC: 1029
CO: 104
OO: 1481
OC: 196
Fitness: 0.998884
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))
(- (* eccentricity major)
(* 0.97781 minor)))
(+ (exp (- eccentricity convex))
(* (* 0.49033 minor)
(log eccentricity))))
(log (+ (log (/ (+ convex perimeter) extent))
(/ (/ (+ (/ area perimeter)
(+ perimeter -0.43095))
(log (/ major area)))
(+ extent
(log (/ area extent))))))

1190
cmake-build-relwithdebinfo/run_5/regress.his
View File

File diff suppressed because it is too large Load Diff

1968
cmake-build-relwithdebinfo/run_5/regress.prg
View File

File diff suppressed because it is too large Load Diff

56
cmake-build-relwithdebinfo/run_5/regress.stt
View File

@ -1,6 +1,52 @@
GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN
0 0 0.9700 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
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
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
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
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
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 0.9860 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 0.9860 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 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 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 128.
no random number seed specfied; using 2382.
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.
@ -37,3 +37,166 @@ no checkpointing will be done.
=== generation 4.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 5.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 6.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 7.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 8.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 9.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 10.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 11.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 12.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 13.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 14.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 15.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 16.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 17.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 18.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 19.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 20.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 21.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 22.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 23.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 24.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 25.
evaluation complete. (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 ===
generation: 11
nodes: 10
generation: 4
nodes: 16
depth: 4
hits: 597
hits: 780
TOP INDIVIDUAL:
-- #1 --
hits: 597
raw fitness: 597.0000
standardized fitness: 597.0000
adjusted fitness: 0.9983
hits: 780
raw fitness: 780.0000
standardized fitness: 780.0000
adjusted fitness: 0.9987
TREE:
(- 0.90309
(- (+ (- eccentricity eccentricity)
(exp extent)) eccentricity))
(/ (* (/ eccentricity major)
(+ eccentricity -0.88515))
(- (exp eccentricity)
(* convex
(/ area -0.45528))))
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
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@ -1,14 +1,16 @@
Hits: 1882, Total Size: 2810, Percent Hit: 66.975089
CC: 340
CO: 779
OO: 1542
OC: 149
Fitness: 0.998328
Hits: 597
Hits: 2157, Total Size: 2810, Percent Hit: 76.761566
CC: 1006
CO: 125
OO: 1151
OC: 528
Fitness: 0.998720
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 eccentricity)
(exp extent)) eccentricity))
(/ (* (/ eccentricity major)
(+ eccentricity -0.88515))
(- (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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 0.9986 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 0.9860 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 0.9900 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 0.9980 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 0.9900 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 0.9987 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 0.9980 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 0.9987 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 0.9980 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 0.9980 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 0.9940 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 0.9980 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 0.9987 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 0.9987 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 777.
no random number seed specfied; using 294.
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.
@ -67,3 +67,136 @@ no checkpointing will be done.
=== 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: 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
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@ -1,22 +1,20 @@
=== BEST-OF-RUN ===
generation: 14
nodes: 23
generation: 30
nodes: 10
depth: 6
hits: 851
hits: 928
TOP INDIVIDUAL:
-- #1 --
hits: 851
raw fitness: 851.0000
standardized fitness: 851.0000
adjusted fitness: 0.9988
hits: 928
raw fitness: 928.0000
standardized fitness: 928.0000
adjusted fitness: 0.9989
TREE:
(* (* (- extent
(+ extent convex))
(log (* extent perimeter)))
(/ (+ minor eccentricity)
(exp (+ (+ (+ major minor) extent) perimeter))))
(log (* -0.19211
(exp (* (* -0.66480
(exp eccentricity)) perimeter))))
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
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@ -1,16 +1,14 @@
Hits: 2329, Total Size: 2810, Percent Hit: 82.882562
CC: 1124
CO: 28
OO: 1205
OC: 453
Fitness: 0.998826
Hits: 851
Hits: 2601, Total Size: 2810, Percent Hit: 92.562278
CC: 1041
CO: 100
OO: 1560
OC: 109
Fitness: 0.998924
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
(+ extent convex))
(log (* extent perimeter)))
(/ (+ minor eccentricity)
(exp (+ (+ (+ major minor) extent) perimeter))))
(log (* -0.19211
(exp (* (* -0.66480
(exp eccentricity)) perimeter))))

1213
cmake-build-relwithdebinfo/run_7/regress.his
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 0.9900 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 0.9900 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 0.9981 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 0.9981 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 0.9981 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 0.9980 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 0.9940 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 0.9940 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 0.9981 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 0.9940 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 0.9980 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 0.9980 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 0.9981 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 0.9982 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 0.9982 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 0.9980 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 0.9984 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 0.9980 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 0.9980 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 0.9980 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 0.9980 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 0.9980 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 0.9980 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 0.9980 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 0.9984 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 0.9984 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 0.9980 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 0.9980 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 0.9980 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 0.9940 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 0.9940 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 0.9989 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 0.9940 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 0.9989 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 0.9940 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 0.9989 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 0.9989 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 0.9980 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 0.9989 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 0.9980 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 0.9989 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 0.9989 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 0.9989 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 0.9989 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 0.9980 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 0.9980 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 0.9980 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 0.9940 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 0.9989 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 0.9989 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
View File

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

21
cmake-build-relwithdebinfo/run_8/regress.bst
View File

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

21
cmake-build-relwithdebinfo/run_8/regress.fn
View File

@ -1,12 +1,15 @@
Hits: 1105, Total Size: 2810, Percent Hit: 39.323843
CC: 1105
CO: 0
OO: 0
OC: 1705
Fitness: 0.998099
Hits: 525
Hits: 2210, Total Size: 2810, Percent Hit: 78.647687
CC: 897
CO: 227
OO: 1313
OC: 373
Fitness: 0.998734
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
View File

@ -1,6 +1,52 @@
GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN
0 0 0.9781 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
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
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
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
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
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 0.9987 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 0.9860 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 0.9980 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 0.9987 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 124.
no random number seed specfied; using 810.
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.
@ -37,3 +37,166 @@ no checkpointing will be done.
=== generation 4.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 5.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 6.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 7.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 8.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 9.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 10.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 11.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 12.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 13.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 14.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 15.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 16.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 17.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 18.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 19.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 20.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 21.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 22.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 23.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 24.
evaluation complete. (0s wall)
breeding complete. (0s wall)
=== generation 25.
evaluation complete. (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 ===
generation: 6
nodes: 7
depth: 3
hits: 784
generation: 14
nodes: 10
depth: 5
hits: 705
TOP INDIVIDUAL:
-- #1 --
hits: 784
raw fitness: 784.0000
standardized fitness: 784.0000
adjusted fitness: 0.9987
hits: 705
raw fitness: 705.0000
standardized fitness: 705.0000
adjusted fitness: 0.9986
TREE:
(- (+ (/ perimeter -0.03569) convex) perimeter)
(/ (/ 0.19802
(* (exp (+ perimeter major)) perimeter)) -0.81639)
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
CC: 791
CO: 364
OO: 1475
OC: 180
Fitness: 0.998726
Hits: 784
Hits: 2104, Total Size: 2810, Percent Hit: 74.875445
CC: 435
CO: 705
OO: 1669
OC: 1
Fitness: 0.998584
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
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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
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@ -1,26 +1,52 @@
GEN# SUB# μFGEN FsBestGEN FsWorstGEN μTreeSzGEN μTreeDpGEN bTreeSzGEN bTreeDpGEN wTreeSzGEN wTreeDpGEN μFRUN FsBestRUN FsWorstRUN μTreeSzRUN μTreeDpRUN bTreeSzRUN bTreeDpRUN wTreeSzRUN wTreeDpRUN
0 0 0.9461 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 0.9700 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 0.9940 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 0.9940 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 0.9980 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 0.9940 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 0.9980 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 0.9980 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 0.9980 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 0.9860 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 0.9900 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 0.9940 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 0.9900 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 0.9940 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 0.9900 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 0.9980 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 0.9940 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 0.9986 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 0.9980 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 0.9980 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 0.9980 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 0.9980 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 0.9940 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 0.9980 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 0.9980 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
tree 0 uses function set 0.
function set complete.
no random number seed specfied; using 2487.
no random number seed specfied; using 401.
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.
@ -97,3 +97,106 @@ no checkpointing will be done.
=== 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: 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/utility.h>
#include <string_view>
#include <utility>
template<typename T>
static inline void fill_value(T& v, const std::string& str)
@ -102,6 +103,10 @@ struct fn_file
// total data values
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);
};
@ -116,12 +121,30 @@ struct run_stats
struct search_stats
{
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
// allowing for output to stdout
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.sub << '\t';
@ -146,6 +169,26 @@ inline void write_record(T& writer, const stt_record& r)
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);
#endif //FINALPROJECT_RUNNER_AGGREGATION_H

2
lib/blt

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

145
src/runner/aggregation.cpp
View File

@ -168,6 +168,30 @@ fn_file fn_file::from_file(std::string_view file)
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 stats;
@ -176,35 +200,83 @@ run_stats run_stats::from_file(std::string_view sst_file, std::string_view fn_fi
return stats;
}
void process_stt_file(runs_stt_data& data, int& max_gen, std::string_view file)
std::vector<run_stats> search_stats::getBestFromGenerations()
{
auto lines = blt::fs::getLinesFromFile(file);
for (std::string_view line : blt::itr_offset(lines, 1))
std::sort(runs.begin(), runs.end(), [](const run_stats& a, const run_stats& b) {
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 (values.size() <= 1)
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;
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));
if (v.stt.generations == generation)
best.push_back(v);
}
return best;
}
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)
{
const auto writefile_avg = writefile + ".tsv";
const auto writefile_run = writefile + "_runs.tsv";
const auto writefile_fn = writefile + "_fn.tsv";
search_stats stats;
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"));
}
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
{
std::memcpy(&packet, buffer, sizeof(buffer));
BLT_INFO("We got packet %d", static_cast<int>(packet.id));
child.second->handlePacket(packet);
}
} while (ret > 0);
@ -398,7 +397,7 @@ int main(int argc, const char** argv)
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("-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("--program").setDefault("./FinalProject").setHelp("GP Program to execute per run").build());
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
// allowing for output to stdout
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.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";
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)
@ -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
for (const auto& run : ordered_records)
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)