/usr/share/doc/python-pyevolve-doc/examples/pyevolve_ex5_callback.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 | from pyevolve import G1DList
from pyevolve import GSimpleGA
from pyevolve import Selectors
# The step callback function, this function
# will be called every step (generation) of the GA evolution
def evolve_callback(ga_engine):
generation = ga_engine.getCurrentGeneration()
if generation % 100 == 0:
print "Current generation: %d" % (generation,)
print ga_engine.getStatistics()
return False
# This function is the evaluation function, we want
# to give high score to more zero'ed chromosomes
def eval_func(genome):
score = 0.0
# iterate over the chromosome
for value in genome:
if value==0: score += 0.1
return score
def run_main():
# Genome instance
genome = G1DList.G1DList(200)
genome.setParams(rangemin=0, rangemax=10)
# The evaluator function (objective function)
genome.evaluator.set(eval_func)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.selector.set(Selectors.GRouletteWheel)
ga.setGenerations(800)
ga.stepCallback.set(evolve_callback)
# Do the evolution
ga.evolve()
# Best individual
print ga.bestIndividual()
if __name__ == "__main__":
run_main()
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