def __init__(self, network, genomeClass, taskClass, runs, elitism):
configParser = configparser.ConfigParser()
configParser.read("config.ini")
self.popSize = int(
configParser[("Evolver." +
type(self).__name__).upper()]['populationSize'])
self.mutationPortion = float(
configParser[("Evolver." +
type(self).__name__).upper()]['mutationPortion'])
self.complexificationRate = float(configParser[(
"Evolver." + type(self).__name__).upper()]['complexificationRate'])
self.showOutput = configParser[(
"Evolver." + type(self).__name__).upper()]['showOutput']
if self.showOutput == "True":
self.showOutput = True
else:
self.showOutput = False
self.pop = [] # population of whole genomes
self.genomeClass = genomeClass
self.taskClass = taskClass
self.runs = runs
self.elitism = elitism
self.grn = network
self.mode = Config.read(self, "Evolver", "mode")
# self.saveBestModel = Config.read(self, "Evolver", "saveBestModel")
self.fitnessLog = [
] # We track the average fitness of the population for a few generations to know when we should complexify the network
print("ARNF: Creating a population of ARNs with size: {}".format(
self.popSize))
for i in range(self.popSize):
individual = self.genomeClass()
individual.initialize(self.taskClass().requirements())
self.pop.append(individual)
def __init__(self, genes):
self.beta = Config.readFloat(self, "Network", "beta")
self.delta = Config.readFloat(self, "Network", "delta")
self.mode = Config.read(self, "Network", "mode")
self.genes = genes
self.outputs = []
self.outputCount = 0
def __init__(self): self.beta = Config.readFloat(self, "Network", "beta") self.delta = Config.readFloat(self, "Network", "delta") self.minIn = Config.readFloat(self, "Network", "minIn") self.minOut = Config.readFloat(self, "Network", "minOut") self.maxIn = Config.readFloat(self, "Network", "maxIn") self.maxOut = Config.readFloat(self, "Network", "maxOut") self.intMode = Config.read(self, "Network", "intMode") self.genes = None
def __init__(self):
self.beta = Config.readFloat(self, "Network", "beta")
self.delta = Config.readFloat(self, "Network", "delta")
self.genes = None
self.mode = Config.read(self, "Network", "mode")
self.outputs = []