private void AddNodes(ConnectGenes checkGenes, Genome p2)
{
NodeGenes inNode = p2.nodeGenes.Find(x => x.node == checkGenes.inn);
NodeGenes outNode = p2.nodeGenes.Find(x => x.node == checkGenes.outt);
if (nodeGenes.FindAll(x => x.node == inNode.node).Count == 0)
{
nodeGenes.Add(new NodeGenes(inNode.node, inNode.nodeType));
}
if (nodeGenes.FindAll(x => x.node == outNode.node).Count == 0)
{
nodeGenes.Add(new NodeGenes(outNode.node, outNode.nodeType));
}
}
public static Genome Mate(Genome p1, Genome p2, ref Genome allInovations)
{
Genome newGenome = new Genome(p1.numSensors, p1.numOutput);
newGenome.connectGenes = new List <ConnectGenes>();
newGenome.nodeGenes = new List <NodeGenes>();
if (Random.value < crossOverRate)
{
int p1L = 0;
int p2L = 0;
bool p1End = false;
bool p2End = false;
while (true)
{
if (p1L >= p1.connectGenes.Count)
{
p1End = true;
}
if (p2L >= p2.connectGenes.Count)
{
p2End = true;
}
if (p1End && p2End)
{
break;
}
ConnectGenes p2Connect = null;
ConnectGenes p1Connect = null;
if (!p2End)
{
p2Connect = new ConnectGenes(p2.connectGenes[p2L].inn, p2.connectGenes[p2L].outt, p2.connectGenes[p2L].weight, p2.connectGenes[p2L].enabled, p2.connectGenes[p2L].innov);
}
if (!p1End)
{
p1Connect = new ConnectGenes(p1.connectGenes[p1L].inn, p1.connectGenes[p1L].outt, p1.connectGenes[p1L].weight, p1.connectGenes[p1L].enabled, p1.connectGenes[p1L].innov);
}
if (p1End)
{
if (p1.fitness < p2.fitness)
{
newGenome.connectGenes.Add(p2Connect);
newGenome.AddNodes(p2.connectGenes[p2L], p2);
}
else if (p1.fitness > p2.fitness)
{
}
else
{
if (Random.value > .5f)
{
newGenome.connectGenes.Add(p2Connect);
newGenome.AddNodes(p2.connectGenes[p2L], p2);
}
}
p2L++;
}
else if (p2End)
{
if (p1.fitness > p2.fitness)
{
newGenome.connectGenes.Add(p1Connect);
newGenome.AddNodes(p1.connectGenes[p1L], p1);
}
else if (p1.fitness < p2.fitness)
{
}
else
{
if (Random.value > .5f)
{
newGenome.connectGenes.Add(p1Connect);
newGenome.AddNodes(p1.connectGenes[p1L], p1);
}
}
p1L++;
}
else if ((p1.connectGenes[p1L].innov > p2.connectGenes[p2L].innov))
{
if (p1.fitness < p2.fitness)
{
newGenome.connectGenes.Add(p2Connect);
newGenome.AddNodes(p2.connectGenes[p2L], p2);
}
else if (p1.fitness > p2.fitness)
{
}
else
{
if (Random.value > .5f)
{
newGenome.connectGenes.Add(p2Connect);
newGenome.AddNodes(p2.connectGenes[p2L], p2);
}
}
p2L++;
}
else if ((p1.connectGenes[p1L].innov < p2.connectGenes[p2L].innov))
{
if (p1.fitness > p2.fitness)
{
newGenome.connectGenes.Add(p1Connect);
newGenome.AddNodes(p1.connectGenes[p1L], p1);
}
else if (p1.fitness < p2.fitness)
{
}
else
{
if (Random.value > .5f)
{
newGenome.connectGenes.Add(p1Connect);
newGenome.AddNodes(p1.connectGenes[p1L], p1);
}
}
p1L++;
}
else if (p1.connectGenes[p1L].innov == p2.connectGenes[p2L].innov)
{
if (Random.value > .5f)
{
newGenome.connectGenes.Add(p1Connect);
newGenome.AddNodes(p1.connectGenes[p1L], p1);
}
else
{
newGenome.connectGenes.Add(p2Connect);
newGenome.AddNodes(p2.connectGenes[p2L], p2);
}
if ((!p1.connectGenes[p1L].enabled || !p2.connectGenes[p2L].enabled) && Random.value > .25f)
{
newGenome.connectGenes[newGenome.connectGenes.Count - 1].setEnabled(false);
}
p1L++;
p2L++;
}
}
newGenome.nodeGenes.Sort((x, y) => x.node.CompareTo(y.node));
newGenome.connectGenes.Sort((x, y) => x.innov.CompareTo(y.innov));
newGenome.innov = newGenome.connectGenes[newGenome.connectGenes.Count - 1].innov;
}
else if (Random.value < .5)
{
newGenome.connectGenes = new List <ConnectGenes>(p1.connectGenes);
newGenome.nodeGenes = new List <NodeGenes>(p1.nodeGenes);
newGenome.innov = p1.innov;
}
else
{
newGenome.connectGenes = new List <ConnectGenes>(p2.connectGenes);
newGenome.nodeGenes = new List <NodeGenes>(p2.nodeGenes);
newGenome.innov = p2.innov;
}
if (Random.value < mutationChance)
{
newGenome.Mutate(ref allInovations);
}
return(newGenome);
}
