public static float[] GetGeneInfo(Genome genome1, Genome genome2)
{
int matchingGenes = 0;
float weightDiff = 0;
int excessGenes = 0;
int disjointGenes = 0;
List <int> nodeKeys1 = genome1.GetNodes().Keys.ToList();
nodeKeys1.Sort();
List <int> nodeKeys2 = genome2.GetNodes().Keys.ToList();
nodeKeys2.Sort();
int highestInnovation1 = nodeKeys1[nodeKeys1.Count() - 1];
int highestInnovation2 = nodeKeys2[nodeKeys2.Count() - 1];
int minHighestInnovation = Math.Min(highestInnovation1, highestInnovation2);
for (int i = 1; i <= minHighestInnovation; i++)
{
bool node1 = genome1.GetNodes().TryGetValue(i, out NodeGene value);
bool node2 = genome2.GetNodes().TryGetValue(i, out NodeGene value2);
if (node1 && node2) // both exist
{
matchingGenes++;
}
else if ((!node1) != (!node2)) // only one exists
{
disjointGenes++;
}
}
List <int> connectionKeys1 = genome1.GetConnections().Keys.ToList();
connectionKeys1.Sort();
List <int> connectionKeys2 = genome2.GetConnections().Keys.ToList();
connectionKeys2.Sort();
highestInnovation1 = connectionKeys1[connectionKeys1.Count() - 1];
highestInnovation2 = connectionKeys2[connectionKeys2.Count() - 1];
minHighestInnovation = Math.Min(highestInnovation1, highestInnovation2);
for (int i = 1; i <= minHighestInnovation; i++)
{
ConnectionGene value = null;
ConnectionGene connection1 = (genome1.GetConnections().TryGetValue(i, out value))?genome1.GetConnections()[i]:null;
ConnectionGene connection2 = (genome2.GetConnections().TryGetValue(i, out value))?genome2.GetConnections()[i]:null;;
if (connection1 != null && connection2 != null) // both exist
{
matchingGenes++;
weightDiff = Math.Abs(connection1.getWeight() - connection2.getWeight());
}
else if ((connection1 == null) != (connection2 == null)) // only one exists
{
disjointGenes++;
}
}
return(new float[] { matchingGenes, weightDiff / matchingGenes, excessGenes, disjointGenes });
}
public float GetActivation(float[] inputs)
{
if (type == TYPE.SENSOR)
{
return(inputs[id - 1]);
}
else
{
float summedActivation = 0;
foreach (NodeGene node in directInNodes.Keys)
{
ConnectionGene connectionIn = directInNodes[node];
summedActivation += (connectionIn.getExpressed())? node.GetActivation(inputs) * connectionIn.getWeight() : 0;
}
return(History.Sigmoid(summedActivation));
}
}
public void AddNodeMutation()
{
ConnectionGene connection = connections.ElementAt(rand.Next(0, connections.Count)).Value;
NodeGene inNode = nodes[connection.getInNode()];
NodeGene outNode = nodes[connection.getOutNode()];
connection.Disable();
//NodeGene newNode = new NodeGene(NodeGene.TYPE.HIDDEN, nodes.Count + 1);
NodeGene newNode = new NodeGene(NodeGene.TYPE.HIDDEN, History.NodeInnovate());
ConnectionGene inToNew = new ConnectionGene(inNode.getId(), newNode.getId(), 1f, true, History.Innovate());
ConnectionGene newToOut = new ConnectionGene(newNode.getId(), outNode.getId(), connection.getWeight(), true, History.Innovate());
nodes.Add(newNode.getId(), newNode);
//connections.Add(inToNew.getInnovation(), inToNew);
//connections.Add(newToOut.getInnovation(), newToOut);
AddConnectionGene(inToNew);
AddConnectionGene(newToOut);
//newNode.AddInNode(GetNodes()[inToNew.getInNode()]);
//GetNodes()[newToOut.getOutNode()].AddInNode(newNode);
// remove old in-node from out gene
outNode.RemoveInNode(inNode);
}