void mutationAddNeuron(float mutationChance, InnovationAssigner nIA, InnovationAssigner cIA)
{
IList <NeuronGene> ngs = new List <NeuronGene>();
IList <ConnectionGene> cgs = new List <ConnectionGene>();
foreach (var c in connectionGenes)
{
if (Random.Range(0f, 1f) <= mutationChance)
{
// New neuron
NeuronGene ng = new NeuronGene(neuronGenes[c.Value.fromNeuronInnovation].layer + 1, (Neuron.Type)Random.Range(0, (int)Neuron.Type.amountOfTypes), nIA.getInnovation(), false, false);
//Debug.Log("New neuron: " + ng.innovation + " layer " + ng.layer);
// Create connection from new to old target neuron
float weight = Random.Range(-1f, 1f);
ConnectionGene cg = new ConnectionGene(cIA.getInnovation(), ng.innovation, c.Value.toNeuronInnovation, weight);
//Debug.Log("New connection from " + cg.fromNeuronInnovation + " to " + cg.toNeuronInnovation);
// Move connection to new neuron
c.Value.setTarget(ng.innovation);
ngs.Add(ng);
cgs.Add(cg);
}
}
foreach (var n in ngs)
{
neuronGenes.Add(n.innovation, n);
}
foreach (var c in cgs)
{
connectionGenes.Add(c.innovation, c);
}
}
public CPPN(Genome genome, InnovationAssigner nIA, InnovationAssigner cIA)
{
this.genome = genome;
neuronIA = nIA;
connectionIA = cIA;
createFromGenome();
}
void mutationAddConnection(float mutationChance, InnovationAssigner cIA)
{
foreach (var n in neuronGenes)
{
if (!n.Value.isInput)
{
if (Random.Range(0f, 1f) <= mutationChance)
{
int[] candidates = getInputCandidates(n.Value.layer);
int chosen = candidates[Random.Range(0, candidates.Length)];
float weight = Random.Range(-1f, 1f);
ConnectionGene newConnection = new ConnectionGene(cIA.getInnovation(), chosen, n.Value.innovation, weight);
connectionGenes.Add(newConnection.innovation, newConnection);
//Debug.Log("New connection from " + newConnection.fromNeuronInnovation + " to " + newConnection.toNeuronInnovation);
}
}
}
}
public void mutate(InnovationAssigner nIA, InnovationAssigner cIA)
{
mutationModifyConnection(0.8f);
mutationAddConnection(0.08f, cIA);
mutationAddNeuron(0.05f, nIA, cIA);
}
public CPPN(int numberOfInputs, int numberOfOutputs, InnovationAssigner nIA, InnovationAssigner cIA)
{
neuronIA = nIA;
connectionIA = cIA;
generateRandom(numberOfInputs, numberOfOutputs);
}
