void Crossover()
{
if (bestPlayers.Count > 1)
{
int iParentA = Random.Range(0, bestPlayers.Count);
int iParentB;
do
{
iParentB = Random.Range(0, bestPlayers.Count);
}while (iParentA == iParentB);
Player Child1;
Player Child2;
int z = Random.Range(0, -10);;
Child1 = Instantiate(playerPrefab, new Vector3(0, 1, z), Quaternion.identity);
NeuralNetwork nnC1 = Child1.SetRandomNN();
Child1.currentCube = -z;
Child1.currentLane = 0;
Child1.GetComponent <Renderer>().material.color = c;
Child1.name = "Child1 " + Random.Range(0, 101) + "GEN" + generation;
players.Add(Child1);
z = Random.Range(0, -10);;
Child2 = Instantiate(playerPrefab, new Vector3(0, 1, z), Quaternion.identity);
NeuralNetwork nnC2 = Child2.SetRandomNN();
Child2.currentCube = -z;
Child2.currentLane = 0;
Child2.GetComponent <Renderer>().material.color = c;
Child2.name = "Child2 " + Random.Range(0, 101) + "GEN" + generation;
players.Add(Child2);
NeuralNetwork nnPA = bestPlayers[iParentA].neuralNetwork;
NeuralNetwork nnPB = bestPlayers[iParentB].neuralNetwork;
for (int w = 0; w < nnC1.weights.Count; w++)
{
for (int x = 0; x < nnC1.weights[w].RowCount; x++)
{
for (int y = 0; y < nnC1.weights[w].ColumnCount; y++)
{
if (Random.Range(0.0f, 1.0f) < mutateRate)
{
nnC1.weights[w][x, y] = nnPA.weights[w][x, y];
}
if (Random.Range(0.0f, 1.0f) < mutateRate)
{
nnC2.weights[w][x, y] = nnPB.weights[w][x, y];
}
}
}
}
for (int w = 0; w < nnC1.biases.Count; w++)
{
if (Random.Range(0.0f, 1.0f) < mutateRate)
{
nnC1.biases[w] = nnPB.biases[w];
}
if (Random.Range(0.0f, 1.0f) < mutateRate)
{
nnC2.biases[w] = nnPA.biases[w];
}
}
}
else
{
Debug.LogError("PAS ASSEZ DE PARENTS");
}
}