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0.853363, -0.373535, -0.043579, -0.160919, -0.88617,
-0.102905, -0.243988, -0.5607, 0.786652, -0.727112,
-0.014068, 0.878937, -0.849091, 0.577972, 0.915894,
-0.993561, 0.89328, -0.843506, -0.001434, 0.732331,
0.39801, 0.539948, -0.49115, -0.212158, -0.697907,
-0.186248, -0.288727, -0.669739, -0.560303, 0.413574,
0.770386, 0.751618, -0.091766, 0.737488, 0.108642,
0.818726, 0.946137, -0.009643, -0.698914, -0.831513,
0.058075, -0.355438, -0.958924, 0.054229, -0.243988,
-0.30249, -0.135406, 0.251983, -0.520142, -0.54834,
-0.92212, -0.619782, -0.920594, 0.612183, 0.01358,
-0.719635, -0.789856, -0.187286, 0.674286, -0.561249,
0.083618, -0.784943, -0.045196, 0.755402, -0.476898} (7.7)
It was discovered in generation 4948 of run 44 and has a fitness of 7.42215
and an R-square of 0.8915609535. Note that it codes for an expression tree
with 17 nodes and that most of the function nodes are “F2”, one of the sim-
plest bivariate polynomials. Indeed, the analysis of the structures of the best-
of-run solutions shows that less verbose functions work much better than the
more complicated ones, as they are preferentially selected as building blocks.
The best-of-experiment solution designed with the GEP-ESM was cre-
ated in generation 4972 of run 19. Its three genes and respective arrays of
random constants are shown below:
F2.i.b.F12.F8.c.F7.d.a.a.g.h.d.h.b.r22.r2.r17.r14.r30.r9.r0.r8.r15.
r13.r38.r3.r37.r39.r7.r23.r13.r1.r32.r17.r9.r14.r21.r21.r26.r16.r3.
r1.r26.r24.r28.r34.r3.r6.r39.r24.r25.r38.r5.r24.r0.r13
F1.F2.F2.F2.F2.F2.F2.h.j.i.b.i.j.c.e.r2.r10.r36.r9.r4.r26.r30.r38.r18.
r36.r10.r7.r24.r23.r24.r0.r34.r26.r4.r35.r0.r14.r5.r13.r36.r16.r3.r3.
r1.r17.r21.r36.r8.r34.r19.r35.r2.r1.r29.r8.r12.r18
j.F1.F2.F1.F10.e.F16.i.e.a.c.c.f.j.h.r4.r20.r7.r9.r28.r27.r7.r6.r19.r39.
r39.r20.r36.r31.r18.r38.r1.r30.r30.r30.r14.r24.r19.r9.r24.r3.r19.r26.
r20.r21.r14.r24.r12.r14.r25.r30.r14.r0.r4.r11.r30.r33
C
0
= {-0.275146, 0.891419, -0.18515, 0.41275, -0.388275,
-0.935364, -0.450287, 0.510437, -0.168457, 0.007629,
0.839447, -0.250213, -0.673462, 0.65799, 0.882569,
0.081878, -0.575134, 0.168701, -0.054168, 0.459106,
-0.281494, -0.610748, 0.450317, 0.827942, 0.398163,
