public void AddNodeMutation()
{
if (neat.maxNeurones <= nodes.Count)
{
return;
}
ConnectionGene connectionSplit = connections[Random.Range(0, connections.Count)];//choose random connection to split
connectionSplit.Disable();
NodeGene nodeIn = connectionSplit.GetInNode();
NodeGene nodeOut = connectionSplit.GetOutNode();
//Debug.Log("nin" + nodeIn.GetLayer());
//Debug.Log("nout"+ nodeOut.GetLayer());
int newLayer;
if (nodeOut.GetLayer() - nodeIn.GetLayer() == 1)
{
//Debug.Log(nodeIn.GetLayer());
//Debug.Log(nodeOut.GetLayer());
newLayer = nodeOut.GetLayer();
AddLayer(nodeOut.GetLayer());
//Debug.Log("new layer" + nodeOut.GetLayer());
//newLayer = nodeOut.GetLayer();
}
else
{
newLayer = Random.Range(nodeIn.GetLayer() + 1, nodeOut.GetLayer() - 1);
}
NodeGene node = new NodeGene(NodeGene.NODETYPE.HIDDEN, track.NewId(), newLayer, Random.Range(-1.0f, 1.0f), neat.internalActiationFunction);
nodes.Add(node);
ConnectionGene connectionIn = new ConnectionGene(connectionSplit.GetInNode().Copy(), node, 1.0f, true, track.Innovate());
ConnectionGene connectionOut = new ConnectionGene(node, connectionSplit.GetOutNode().Copy(), connectionSplit.GetWeight(), true, track.Innovate());
connections.Add(connectionIn);
connections.Add(connectionOut);
}
public ConnectionGene(ConnectionGene copy)
{
inNode = copy.GetInNode();
outNode = copy.GetOutNode();
weight = copy.GetWeight();
expressed = copy.IsExpressed();
innovation = copy.GetInnovation();
}
public Genome InitGenome()
{
Genome g1 = new Genome(gt);
for (int i = 0; i < inputSize + outputSize; i++)
{
NodeGene node = GetDeafultGenome().GetNodeGenes()[i].Copy();
if (node.GetNodeType() == NodeGene.NODETYPE.OUTPUT || node.GetNodeType() == NodeGene.NODETYPE.HIDDEN)
{
node.SetBias(Random.Range(-1.0f, 1.0f));
//node.SetBias(1.0f);
}
g1.AddNodeGene(node);
//g1.GetNodeGenes()[inputSize + i].SetBias(Random.Range(-1.0f, 1.0f));
}
for (int i = 0; i < startConnections; i++)//sample n connections
{
ConnectionGene con = connections[Random.Range(0, connections.Count)].Copy();
//ConnectionGene con = connections[i].Copy();
con.SetWeight(Random.Range(-weightRange, weightRange));
//con.SetWeight(1.0f);
int inId = con.GetInNode().GetId();
con.SetInNode(g1.GetNodeGenes()[inId]);
int outId = con.GetOutNode().GetId();
//Debug.Log(con.GetOutNode());
//Debug.Log(outId);
con.SetOutNode(g1.GetNodeGenes()[outId]);
g1.AddConnectionGene(con);
}
if (speciation)
{
InsertGenomeIntoSpecies(g1, species);
impf.StatsSpecies(species.Count);
}
genomes.Add(g1);
return(g1);
}
public void AddNodeMutation(Random r) //insert a node between two connected nodes
{
int conKey = connectionKeys[r.Next(connectionKeys.Count)]; //get a random connection
ConnectionGene con = connectionList[conKey];
int node1 = con.GetInNode();
int node2 = con.GetOutNode();
con.Disable(); //disable connection
NodeGene newNode = new NodeGene(nodeList.Count + 1, NodeGene.TYPE.HIDDEN); //create a new node
nodeList.Add(newNode); //add new node to node list
int innovation1 = InnovationGenerator.GetInnovation();
int innovation2 = InnovationGenerator.GetInnovation();
connectionKeys.Add(innovation1);
connectionList.Add(innovation1, new ConnectionGene(node1, newNode.GetID(), 1f, true, innovation1)); //add new connections to connection list
connectionKeys.Add(innovation2);
connectionList.Add(innovation2, new ConnectionGene(newNode.GetID(), node2, con.GetWeight(), true, innovation2));
}
