コード例 #1
0
ファイル: GA_Helpers.py プロジェクト: mdewey/Learning
 def mate(self, mom, dad):
     # make empty child
     child = myChromosome(self.chromosomeLength, True)
     # select random spot in chromosome
     spot = randint(0, self.chromosomeLength)
     # add the first half mom to the kid and the second half of dad
     child.chromo[0:spot] = mom.chromo[0:spot]
     child.chromo[spot:] = dad.chromo[spot:]
     self.findFitness(child)
     return child
コード例 #2
0
ファイル: GA_Helpers.py プロジェクト: mdewey/Learning
    def __init__(self, _cl, _popSize, _numberOfGenerations, _maxMutations=5, _mutateChance=5, _maxFitness=20):

        # init constants
        self.thisGeneration = 0

        # set values to parameters
        self.chromosomeLength = _cl
        self.maxGenerations = _numberOfGenerations
        self.populationSize = _popSize
        self.maxFitness = _maxFitness
        self.mutateChance = _mutateChance
        self.maxMutations = _maxMutations

        # init internal varibles
        self.population = [myChromosome(self.chromosomeLength)] * self.populationSize
        self.newPopulation = []

        # finds fitness
        map(self.findFitness, self.population)