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# This file is part of DEAP.
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# DEAP is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License as
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# published by the Free Software Foundation, either version 3 of
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# the License, or (at your option) any later version.
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# DEAP is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Lesser General Public License for more details.
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# You should have received a copy of the GNU Lesser General Public
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# License along with DEAP. If not, see <http://www.gnu.org/licenses/>.
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logging.basicConfig(level=logging.DEBUG, stream=sys.stdout)
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from deap import algorithms
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from deap import creator
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from deap import tools
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creator.create("FitnessMax", base.Fitness, weights=(1.0,))
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creator.create("Individual", numpy.ndarray, fitness=creator.FitnessMax)
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toolbox = base.Toolbox()
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toolbox.register("attr_bool", random.randint, 0, 1)
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toolbox.register("individual", tools.initRepeat, creator.Individual, toolbox.attr_bool, n=100)
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toolbox.register("population", tools.initRepeat, list, toolbox.individual)
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def evalOneMax(individual):
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return numpy.sum(individual),
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toolbox.register("evaluate", evalOneMax)
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toolbox.register("mate", tools.cxTwoPoints)
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toolbox.register("mutate", tools.mutFlipBit, indpb=0.05)
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toolbox.register("select", tools.selTournament, tournsize=3)
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pop = toolbox.population(n=300)
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hof = tools.HallOfFame(1)
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stats = tools.Statistics(lambda ind: ind.fitness.values)
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stats.register("Avg", tools.mean)
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stats.register("Std", tools.std)
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stats.register("Min", min)
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stats.register("Max", max)
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algorithms.eaSimple(toolbox, pop, cxpb=0.5, mutpb=0.2, ngen=40, stats=stats, halloffame=hof)
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return pop, stats, hof
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if __name__ == "__main__":
added
removed
examples/ga_onemax_numpy.py
