public static void InitPopulation()
{
population.Clear();
buffer.Clear();
complete = false;
for (int i = 0; i < popSize; i++)
{
GA_Class citizen = new GA_Class();
citizen.fitness = 0;
citizen.units = new bool[width, height];
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
int randSelect = rand.Next(0, 2);
if (randSelect == 1)
{
citizen.units[x, y] = true;
}
else if (randSelect == 2)
{
citizen.units[x, y] = false;
}
}
}
population.Add(citizen);
buffer.Add(citizen);
}
bestResult = population[0].units;
}
private static void Mate()
{
float esize = popSize * eliteRate;
int matePos, i1, i2;
Elitism(esize);
for (int i = (int)esize; i < popSize; i++)
{
i1 = rand.Next(0, popSize / 2);
i2 = rand.Next(0, popSize / 2);
matePos = rand.Next() % (width * height);
GA_Class child = new GA_Class();
child.units = new bool[width, height];
int m = 0;
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
if (rand.Next() < mutation)
{
int randBool = rand.Next() % 2;
if (randBool == 0)
{
child.units[x, y] = false;
}
else
{
child.units[x, y] = true;
}
}
else if (m <= matePos)
{
child.units[x, y] = population[i1].units[x, y];
}
else
{
child.units[x, y] = population[i2].units[x, y];
}
m++;
}
}
buffer[i] = child;
}
}
