public NN Crossover(NN parent1, NN parent2, bool side)
{
var r = new Random();
NN child = new NN();
child.Init();
for (int i = 0; i < parent1.Layers.Count; i++)
{
int crossoverPointX = r.Next(0, parent1.Layers[i].Weights.GetLength(0));
int crossoverPointY = r.Next(0, parent1.Layers[i].Weights.GetLength(1));
for (int ii = 0; ii < parent1.Layers[i].Weights.GetLength(0); ii++)
{
for (int iii = 0; iii < parent1.Layers[i].Weights.GetLength(1); iii++)
{
double gene = parent1.Layers[i].Weights[ii, iii];
if (ii > crossoverPointX && iii > crossoverPointY)
{
gene = parent2.Layers[i].Weights[ii, iii];
}
child.Layers[i].Weights[ii, iii] = gene;
}
double bgene = parent1.Layers[i].Biases[ii];
if (ii > crossoverPointX)
{
bgene = parent2.Layers[i].Biases[ii];
}
child.Layers[i].Biases[ii] = bgene;
}
}
return(child);
}
void GeneratePopulation(int popsize)
{
NNs = new NN[popsize];
for (int i = 0; i < popsize; i++)
{
var nn = new NN();
nn.Init();
NNs[i] = nn;
}
Save();
}
