public NeuralNet CrossOver(MovingAgent parentOne, MovingAgent parentTwo)
{
NeuralNet neuralNet = new NeuralNet(true);
List <float> newWeights = new List <float>();
List <float> parentOneWeights = parentOne.GetNetworkWeights();
List <float> parentTwoWeights = parentTwo.GetNetworkWeights();
int crossOverPoint;
if (Utilities.IsRandomCrossoverPoint)
{
crossOverPoint = (int)Utilities.RandomMinMax(0, parentOneWeights.Count);
}
else
{
crossOverPoint = (int)(parentOneWeights.Count * Utilities.CrossoverPoint);
}
for (int i = 0; i < crossOverPoint; i++)
{
newWeights.Add(parentOneWeights[i]);
}
for (int i = crossOverPoint; i < parentOneWeights.Count; i++)
{
newWeights.Add(parentTwoWeights[i]);
}
neuralNet.SetWeights(ref newWeights);
return(neuralNet);
}
public void Mutate()
{
List <float> weights = new List <float>();
weights.AddRange(neuralNet.GetWeights());
// int mutate = (int)Utilities.RandomMinMax(0, weights.Count);
// weights[mutate] += (Utilities.RandomMinMax(-1, 1) * Utilities.MaxPerturbation);
for (int i = 0; i < weights.Count; ++i)
{
if (Utilities.RandomMinMax(0, 1) < Utilities.MutationRate)
{
weights[i] += (Utilities.RandomMinMax(-1, 1) * Utilities.MaxPerturbation);
}
}
neuralNet.SetWeights(ref weights);
}
