/usr/share/doc/python-pyevolve-doc/examples/pyevolve_ex4_sigmatrunc.py is in python-pyevolve-doc 0.6~rc1+svn398+dfsg-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | from pyevolve import G1DList
from pyevolve import GSimpleGA
from pyevolve import Selectors
from pyevolve import Initializators, Mutators
from pyevolve import Scaling
from pyevolve import Consts
import math
def eval_func(ind):
score = 0.0
var_x = ind[0]
var_z = var_x**2+2*var_x+1*math.cos(var_x)
return var_z
def run_main():
# Genome instance
genome = G1DList.G1DList(1)
genome.setParams(rangemin=-60.0, rangemax=60.0)
# Change the initializator to Real values
genome.initializator.set(Initializators.G1DListInitializatorReal)
# Change the mutator to Gaussian Mutator
genome.mutator.set(Mutators.G1DListMutatorRealGaussian)
# Removes the default crossover
genome.crossover.clear()
# The evaluator function (objective function)
genome.evaluator.set(eval_func)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.setMinimax(Consts.minimaxType["minimize"])
pop = ga.getPopulation()
pop.scaleMethod.set(Scaling.SigmaTruncScaling)
ga.selector.set(Selectors.GRouletteWheel)
ga.setGenerations(100)
# Do the evolution
ga.evolve(10)
# Best individual
print ga.bestIndividual()
if __name__ == "__main__":
run_main()
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