private void GeneratePopulation(int n)
{
population = new Imagen[n];
for (int i = 0; i < n; i++)
{
population[i] = new Imagen(DistanceFactory.GetInstance(distanceType), bitmap.Height, bitmap.Width, probMutation, YES, histOption);
}
}
public void NewGeneration()
{
int bye = (int)(population.Length - 2 - (population.Length * 0.05));
for (int i = population.Length - 1; i > bye; i--)
{
population[i] = new Imagen(DistanceFactory.GetInstance(distanceType), bitmap.Height, bitmap.Width, probMutation, YES, histOption);
}
}
public void CrossO()
{
Random rand = new Random();
for (int i = 0; i < probCrossOver; i++)
{
int father = rand.Next((int)(population.Length));
int mother = rand.Next((int)(population.Length));
int victim = population.Length - 1;//(int)(rand.Next(population.Length/10) + population.Length*0.8);
Bitmap son;
son = population[father].Crossin(population[mother].bitmap, bitmap);
Imagen newImg = new Imagen(DistanceFactory.GetInstance(distanceType), bitmap.Height, bitmap.Width, probMutation, NO, histOption);
newImg.bitmap = son;
newImg.ProcessDistance(bitmap);
population[victim] = newImg;
Array.Sort(population);
}
}