private void nodeMutate(newGenome genome)
{
//NODE MUTATE
if (genome.genes.Count == 0)
{
return;
}
genome.maxneuron = genome.maxneuron + 1;
//GET RANDOM GENE
newGene gene = genome.genes[Random(0, genome.genes.Count - 1)];
if (!gene.enabled) //IF FALSE RETURN
{
return;
}
gene.enabled = false;
//ADD GENE1
newGene gene1 = gene.Copy();
gene1.output = genome.maxneuron;
gene1.weight = 1.0;
gene1.innovation = newInnovation(Pool);
gene1.enabled = true;
genome.genes.Add(gene1);
//ADD GENE2
newGene gene2 = gene.Copy();
gene2.into = genome.maxneuron;
gene2.innovation = newInnovation(Pool);
gene2.enabled = true;
genome.genes.Add(gene2);
}
private newGenome crossover(newGenome g1, newGenome g2)
{
//MAKE SURE G1 IS THE HIGHER FITNESS GENOME
if (g2.fitness > g1.fitness)
{
newGenome tempg = g1;
g1 = g2;
g2 = tempg;
}
newGenome child = new newGenome();
Dictionary <int, newGene> innovations2 = new Dictionary <int, newGene>();
for (int i = 0; i < g2.genes.Count; i++)
{
newGene gene = g2.genes[i];
innovations2[gene.innovation] = gene;
}
for (int i = 0; i < g1.genes.Count; i++)
{
newGene gene1 = g1.genes[i];
newGene gene2 = innovations2[gene1.innovation];
//COPY GENE1 OR GENE2
if (gene2 != null && Random(1, 2) == 1 && gene2.enabled)
{
child.genes.Add(gene2.Copy());
}
else
{
child.genes.Add(gene1.Copy());
}
}
//GET MAXIMUM
child.maxneuron = Max(g1.maxneuron, g2.maxneuron);
foreach (KeyValuePair <string, double> item in g1.mutationRates)
{
child.mutationRates[item.Key] = item.Value;
}
return(child);
}