public static void Breed(NNet parent1, NNet parent2, NNet child1, NNet child2)
{
var p1weights = parent1.GetNeuronWeights();
var p2weights = parent2.GetNeuronWeights();
var c1weights = new List <float>();
var c2weights = new List <float>();
int crossover = (int)UnityEngine.Random.Range(0, p1weights.Count - 1);
for (int i = 0; i < crossover; i++)
{
c1weights.Add(p1weights[i]);
c2weights.Add(p2weights[i]);
}
for (int i = crossover; i < p1weights.Count; i++)
{
c1weights.Add(p2weights[i]);
c2weights.Add(p1weights[i]);
}
child1.SetWeights(c1weights);
child2.SetWeights(c2weights);
}