void Breed()
{
float[,] oldGenes = new float[size, 4];
float[,] newGenes = new float[size, 4];
float[,] fit = new float[size, 2];
for (int i = 0; i < size; i++)
{
Individual individual = game[i].GetComponent <Individual>();
fit[i, 0] = i;
fit[i, 1] = individual.fitness;
for (int k = 0; k < 4; k++)
{
oldGenes[i, k] = individual.genes[k];
newGenes[i, k] = individual.genes[k];
}
}
float[] tmp = new float[2];
bool swapped = true;
int j = 0;
int n = size;
while (swapped)
{
swapped = false;
j++;
for (int i = 0; i < n - j; i++)
{
if (fit[i, 1] > fit[i + 1, 1])
{
tmp[0] = fit[i, 0];
tmp[1] = fit[i, 1];
fit[i, 0] = fit[i + 1, 0];
fit[i, 1] = fit[i + 1, 1];
fit[i + 1, 0] = tmp[0];
fit[i + 1, 1] = tmp[1];
swapped = true;
}
}
}
int[,] pairedIndcies = new int[(size / 2), 2];
List <int> list = new List <int>();
for (int i = 0; i < size; i++)
{
list.Add(i);
}
for (int i = 0; i < (size / 2); i++)
{
/*int ran1 = Random.Range(0, list.Count);
* int ran2 = 0;
* int index1 = list.ToArray()[ran1];
* int index2 = index1;
* while (index1 == index2)
* {
* ran2 = Random.Range(0, list.Count);
* index2 = list.ToArray()[ran2];
* }
*
* list.RemoveAt(ran1);
* list.RemoveAt(ran2);
*
* pairedIndcies[i, 0] = index1;
* pairedIndcies[i, 1] = index2;*/
pairedIndcies[i, 0] = Random.Range(0, size / 2);
pairedIndcies[i, 1] = Random.Range(0, size / 2);
}
int indexCounter = 0;
for (int i = 0; i < (size) / 2; i++)
{
/*float randomX = Random.Range(0f,5f);
* float randomIndex = Mathf.Pow(randomX, 4.2920296742201791520103197062919f);
* //Debug.Log(randomIndex);
* int crossoverPoint = Random.Range(0, 4);
*
* for (int k = crossoverPoint; k < 4; k++)
* {
* newGenes[i,k] = newGenes[(int)randomIndex,k];
* }*/
//int randomIndex = Random.Range(0, 501);
int crossoverPoint = Random.Range(0, 4);
int fitIndex1 = (int)fit[pairedIndcies[i, 0], 0];
int fitIndex2 = (int)fit[pairedIndcies[i, 1], 0];
for (int k = 0; k < crossoverPoint - 1; k++)
{
newGenes[indexCounter, k] = oldGenes[fitIndex1, k];
}
for (int k = crossoverPoint; k < 4; k++)
{
newGenes[indexCounter, k] = oldGenes[fitIndex2, k];
}
for (int k = 0; k < crossoverPoint - 1; k++)
{
newGenes[indexCounter + 1, k] = oldGenes[fitIndex2, k];
}
for (int k = crossoverPoint; k < 4; k++)
{
newGenes[indexCounter + 1, k] = oldGenes[fitIndex1, k];
}
indexCounter += 2;
}
for (int i = 0; i < size; i++)
{
Destroy(game[i]);
}
for (int i = 0; i < size; i++)
{
game[i] = Instantiate(creature) as GameObject;
Individual ind = game[i].GetComponent <Individual>();
ind.targetPosition = target.position;
game[i].transform.parent = transform;
for (int k = 0; k < 4; k++)
{
ind.genes[k] = newGenes[i, k];
}
int random = Random.Range(0, size);
if (random < (float)size * (0.05f))
{
ind.ApplyMutation();
}
ind.ApplyGenes();
}
counter = 0;
}
