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from pyevolve import GSimpleGA
from pyevolve import G1DList
from pyevolve import Mutators, Initializators
from pyevolve import Selectors
from pyevolve import Consts
import math
# This is the Rastrigin Function, a deception function
def rastrigin(genome):
n = len(genome)
total = 0
for i in xrange(n):
total += genome[i]**2 - 10*math.cos(2*math.pi*genome[i])
return (10*n) + total
def run_main():
# Genome instance
genome = G1DList.G1DList(20)
genome.setParams(rangemin=-5.2, rangemax=5.30, bestrawscore=0.00, rounddecimal=2)
genome.initializator.set(Initializators.G1DListInitializatorReal)
genome.mutator.set(Mutators.G1DListMutatorRealGaussian)
genome.evaluator.set(rastrigin)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.terminationCriteria.set(GSimpleGA.RawScoreCriteria)
ga.setMinimax(Consts.minimaxType["minimize"])
ga.setGenerations(3000)
ga.setCrossoverRate(0.8)
ga.setPopulationSize(100)
ga.setMutationRate(0.06)
ga.evolve(freq_stats=50)
best = ga.bestIndividual()
print best
if __name__ == "__main__":
run_main()
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