private void doMutation(MLP m, out MLP mOut)
{
double probability = r.NextDouble();
if (probability <= mutationRate)
{
if (evolveWeights)
{
m.mutateWeights();
}
if (evolveFunction)
{
m.mutateFunction();
}
}
mOut = m;
}
private void doCrossover(MLP m1, MLP m2, out MLP m1Out, out MLP m2Out)
{
double probability = r.NextDouble();
if (probability <= crossoverRate)
{
if (evolveWeights)
{
int nodeIndex = r.Next(0, 5);
//test swap
Node n = m1.nodes[nodeIndex];
m1.nodes[nodeIndex] = m2.nodes[nodeIndex];
m2.nodes[nodeIndex] = n;
double weight = m1.getWeight(nodeIndex);
m1.setWeight(nodeIndex, m2.getWeight(nodeIndex));
m1.setWeight(nodeIndex, weight);
int nodeIndex2 = r.Next(0, 5);
while (nodeIndex2 == nodeIndex)
{
nodeIndex2 = r.Next(0, 5);
}
nodeIndex = nodeIndex2;
//test swap
n = m1.nodes[nodeIndex];
m1.nodes[nodeIndex] = m2.nodes[nodeIndex];
m2.nodes[nodeIndex] = n;
weight = m1.getWeight(nodeIndex);
m1.setWeight(nodeIndex, m2.getWeight(nodeIndex));
m1.setWeight(nodeIndex, weight);
}
if (evolveFunction)
{
MLP.Activation a = m1.activation;
m1.activation = m2.activation;
m2.activation = a;
}
}
m1Out = m1;
m2Out = m2;
}
