| 1 | import numpy as np
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| 2 | from .numerical_example.numerical_example import ExperimentNumerical
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| 3 | from .structures.individual import Individual
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| 4 |
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| 5 |
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| 6 | def main():
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| 7 | parsed_args = ExperimentNumerical.get_args_for_parser().parse_args()
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| 8 | Individual.fitness_set_negative_to_zero = parsed_args.fitness_set_negative_to_zero # setting the "static" field once
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| 9 | print("Argument values:", ", ".join(
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| 10 | ['%s=%s' % (arg, getattr(parsed_args, arg)) for arg in vars(parsed_args)]))
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| 11 |
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| 12 | initialgenotype = np.array([100, 100, 100, 100])
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| 13 | experiment = ExperimentNumerical(
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| 14 | hof_size=parsed_args.hof_size,
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| 15 | popsize=parsed_args.popsize,
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| 16 | save_only_best=parsed_args.save_only_best)
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| 17 |
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| 18 | hof, stats = experiment.evolve(hof_savefile=parsed_args.hof_savefile,
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| 19 | generations=parsed_args.generations,
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| 20 | initialgenotype=initialgenotype,
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| 21 | pmut=parsed_args.pmut,
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| 22 | pxov=parsed_args.pxov,
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| 23 | tournament_size=parsed_args.tournament)
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| 24 | print('Best individuals:')
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| 25 | for ind in hof:
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| 26 | print(ind.rawfitness, '\t-->\t', ind.genotype)
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| 27 |
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| 28 |
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| 29 | if __name__ == "__main__":
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| 30 | main()
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