def linkMutate(self, forceBias):
neuron1 = self.randomNeuron(False)
neuron2 = self.randomNeuron(True)
newLink = Gene()
if neuron1 <= Inputs and neuron2 <= Inputs:
#Both input nodes
return
if neuron2 <= Inputs:
# Swap output and input
temp = neuron1
neuron1 = neuron2
neuron2 = temp
newLink.into = neuron1
newLink.out = neuron2
if forceBias:
newLink.into = Inputs
if self.contains_link(newLink):
return
newLink.innovation = self.pool.new_innovation()
newLink.weight = random.random() * 4 - 2
self.genes.append(newLink)
def loadFile(self, filename, env):
file = open(filename, "r")
self.__init__(env)
self.generation = int(file.readline().replace("\n", ""))
self.maxFitness = int(file.readline().replace("\n", ""))
#gui.settext(5, 8, maxFitnessLabel, "Max Fitness. " .. math.floor(pool.maxFitness))
numSpecies = int(file.readline().replace("\n", ""))
for s in range(0, numSpecies):
species = Species()
self.species.append(species)
species.topFitness = float(file.readline().replace("\n", ""))
species.staleness = int(file.readline().replace("\n", ""))
numGenomes = int(file.readline().replace("\n", ""))
for g in range(0, numGenomes):
genome = Genome(self)
species.genomes.append(genome)
genome.fitness = float(file.readline().replace("\n", ""))
genome.maxneuron = int(file.readline().replace("\n", ""))
line = file.readline().replace("\n", "")
while line != "done":
genome.mutationRates[line] = float(file.readline().replace(
"\n", ""))
line = file.readline().replace("\n", "")
numGenes = int(file.readline().replace("\n", ""))
for n in range(0, numGenes):
gene = Gene()
genome.genes.append(gene)
enabled = 0
line = file.readline()
data = []
for x in [x for i, x in enumerate(line.split(" "))]:
try:
data.append(int(x))
except ValueError:
data.append(float(x))
gene.into, gene.out, gene.weight, gene.innovation, enabled = data
gene.enabled = enabled == 1
file.close()
while self.fitnessAlreadyMeasured():
self.nextGenome()
self.initializeRun()
self.currentFrame = self.currentFrame + 1
