private PopulationGenome newGenome()
{
PopulationGenome genome = new PopulationGenome();
genome.genes = new List<PopulationGene>();
genome.fitness = 0;
genome.adjustedFitness = 0;
genome.network = new PopulationNetwork();
genome.maxneuron = 0;
genome.globalRank = 0;
genome.mutationRates = new Dictionary<string, double>();
genome.mutationRates.Add("connections", MutateConnectionsChance);
genome.mutationRates.Add("link", LinkMutationChance);
genome.mutationRates.Add("bias", BiasMutationChance);
genome.mutationRates.Add("node", NodeMutationChance);
genome.mutationRates.Add("enable", EnableMutationChance);
genome.mutationRates.Add("disable", DisableMutationChance);
genome.mutationRates.Add("step", StepSize);
return genome;
}
private PopulationGenome basicGenome()
{
PopulationGenome genome = newGenome();
int innovation = 1;
genome.maxneuron = Inputs;
mutate(genome);
return genome;
}
private void GenerateNetwork(PopulationGenome genome)
{
PopulationNetwork network = new PopulationNetwork();
network.neurons = new List<PopulationNeuron>();
for(int i=0;i<Inputs;i++)
{
network.neurons.Add(newNeuron());
}
for(int o=0;o<Outputs;o++)
{
network.neurons.Add(newNeuron());
}
}