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Last change
on this file since 1259 was
1190,
checked in by Maciej Komosinski, 2 years ago
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Added the "evolalg" module for evolutionary optimization
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File size:
628 bytes
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| Rev | Line | |
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| [1190] | 1 | import numpy as np |
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| 2 | |
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| 3 | from ..base.experiment_abc import ExperimentABC |
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| 4 | from ..structures.hall_of_fame import HallOfFame |
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| 5 | |
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| 6 | |
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| 7 | class ExperimentNumerical(ExperimentABC): |
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| 8 | def __init__(self, hof_size, popsize, save_only_best) -> None: |
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| 9 | ExperimentABC.__init__(self,popsize=popsize, |
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| 10 | hof_size=hof_size, |
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| 11 | save_only_best=save_only_best) |
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| 12 | |
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| 13 | def mutate(self, gen1): |
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| 14 | return list(gen1 + np.random.randint(-10, 10, len(gen1))) |
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| 15 | |
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| 16 | def cross_over(self, gen1, gen2): |
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| 17 | return gen1 |
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| 18 | |
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| 19 | def evaluate(self, genotype): |
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| 20 | return 1/sum([x*x for x in genotype]) |
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