Last change
on this file since 1284 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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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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