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| import operator |
| import random |
|
|
| import numpy |
| import math |
|
|
| from deap import base |
| from deap import benchmarks |
| from deap import creator |
| from deap import tools |
|
|
| creator.create("FitnessMax", base.Fitness, weights=(1.0,)) |
| creator.create("Particle", list, fitness=creator.FitnessMax, speed=list, |
| smin=None, smax=None, best=None) |
|
|
| def generate(size, pmin, pmax, smin, smax): |
| part = creator.Particle(random.uniform(pmin, pmax) for _ in range(size)) |
| part.speed = [random.uniform(smin, smax) for _ in range(size)] |
| part.smin = smin |
| part.smax = smax |
| return part |
|
|
| def updateParticle(part, best, phi1, phi2): |
| u1 = (random.uniform(0, phi1) for _ in range(len(part))) |
| u2 = (random.uniform(0, phi2) for _ in range(len(part))) |
| v_u1 = map(operator.mul, u1, map(operator.sub, part.best, part)) |
| v_u2 = map(operator.mul, u2, map(operator.sub, best, part)) |
| part.speed = list(map(operator.add, part.speed, map(operator.add, v_u1, v_u2))) |
| for i, speed in enumerate(part.speed): |
| if abs(speed) < part.smin: |
| part.speed[i] = math.copysign(part.smin, speed) |
| elif abs(speed) > part.smax: |
| part.speed[i] = math.copysign(part.smax, speed) |
| part[:] = list(map(operator.add, part, part.speed)) |
|
|
| toolbox = base.Toolbox() |
| toolbox.register("particle", generate, size=2, pmin=-6, pmax=6, smin=-3, smax=3) |
| toolbox.register("population", tools.initRepeat, list, toolbox.particle) |
| toolbox.register("update", updateParticle, phi1=2.0, phi2=2.0) |
| toolbox.register("evaluate", benchmarks.h1) |
|
|
| def main(): |
| pop = toolbox.population(n=5) |
| stats = tools.Statistics(lambda ind: ind.fitness.values) |
| stats.register("avg", numpy.mean) |
| stats.register("std", numpy.std) |
| stats.register("min", numpy.min) |
| stats.register("max", numpy.max) |
|
|
| logbook = tools.Logbook() |
| logbook.header = ["gen", "evals"] + stats.fields |
|
|
| GEN = 1000 |
| best = None |
|
|
| for g in range(GEN): |
| for part in pop: |
| part.fitness.values = toolbox.evaluate(part) |
| if not part.best or part.best.fitness < part.fitness: |
| part.best = creator.Particle(part) |
| part.best.fitness.values = part.fitness.values |
| if not best or best.fitness < part.fitness: |
| best = creator.Particle(part) |
| best.fitness.values = part.fitness.values |
| for part in pop: |
| toolbox.update(part, best) |
|
|
| |
| logbook.record(gen=g, evals=len(pop), **stats.compile(pop)) |
| print(logbook.stream) |
|
|
| return pop, logbook, best |
|
|
| if __name__ == "__main__": |
| main() |
|
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|
