def main():
global first_gen
global nextGenerations_collHapse
first_gen = []
nextGenerations_collHapse = []
read_first_pop()
generation = runGenetic(50)
bestIndividual = generation.bestIndividual
hap_file = open("ACEHAP_Result.txt",'w')
for hap in bestIndividual:
for pos in hap:
hap_file.write(str(pos))
hap_file.write("\n")
number = len(bestIndividual[:][:])
hap_file.close()
genError.clac_genotype_error()
genError.calc_switch_error()
def main():
global Genes
global first_gen
read_gens()
read_first_pop()
genome = G2DList.G2DList(2 * len(Genes), len(Genes[0]))
genome.setParams(rangemin=0, rangemax=1)
genome.crossover.set(Crossovers.G2DListCrossoverSingleHPoint)
genome.mutator.set(Mutators.G2DListMutatorIntegerGaussian)
genome.evaluator.set(eval_hap)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.selector.set(Selectors.GRouletteWheel)
ga.nGenerations = 50
ga.stepCallback.set(evolve_callback)
# Do the evolution
ga.evolve()
# Best individual
l = ga.bestIndividual()
hapFile = open("ACEHAP_Result.txt", "w")
for row in l:
line = ""
for char in row:
line += str(char)
hapFile.write(line + "\n")
hapFile.close()
genError.clac_genotype_error()
genError.calc_switch_error()