private void Form1_Load(object sender, EventArgs e)
{
graphicObj = Graphics.FromImage(scrn);
graphicObj.Clear(Color.White);
Random rnd = new Random();
for (int i = 0; i < fish.Length; i++)
{
fish[i] = new Guppy(800, 425);
}
for (int i = 0; i < food.Length; i++)
{
food[i] = new Food(rnd.Next(Constants.tankLeft, Constants.tankRight), rnd.Next(Constants.tankBottom, Constants.tankTop));
}
for (int i = 0; i < bomb.Length; i++)
{
bomb[i] = new Bomb(rnd.Next(Constants.tankLeft, Constants.tankRight), rnd.Next(Constants.tankBottom, Constants.tankTop));
}
this.WindowState = FormWindowState.Maximized;
}
private static Guppy[] reproduce(Guppy[] parents)
{
Guppy[] children = new Guppy[parents.Length];
Random rnd = new Random();
for (int i = 0; i < children.Length; i++)
{
children[i] = new Guppy(200, 200);
}
//Sort parents by numEaten
Array.Sort(parents,
delegate(Guppy par1, Guppy par2) { return(par1.numEaten.CompareTo(par2.numEaten)); });
List <int> roulette = new List <int>();
//Keep 20% of the best guppies
for (int i = children.Length - 1; i > children.Length - children.Length * .2 - 1; i--)
{
children[i] = parents[i];
for (int j = 0; j < parents[i].numEaten; j++)
{
roulette.Add(i);
}
}
//For the other 80%, choose two of the best 20% and make a child
for (int i = 0; i < children.Length - children.Length * .2; i++)
{
//Randomly choose parents from the top 20%
//int randFatherIndex = rnd.Next(Convert.ToInt32(children.Length - children.Length * .2), Convert.ToInt32(children.Length));
//int randMotherIndex = rnd.Next(Convert.ToInt32(children.Length - children.Length * .2), Convert.ToInt32(children.Length));
int randFatherIndex = roulette.ElementAt(rnd.Next(0, roulette.Count));
int randMotherIndex = roulette.ElementAt(rnd.Next(0, roulette.Count));
//Save the mother and father indexes
children[i].fatherIndex = randFatherIndex;
children[i].motherIndex = randMotherIndex;
//Create a genome for the child from the genomes of the parents
Genome childGenome = parents[randFatherIndex]
.DNA.offspring(parents[randMotherIndex].DNA, .25, .05);
//Create a brain for the child from its genome
Network brain = new Network(Constants.numInput, Constants.numHidden, Constants.numOutput, childGenome);
children[i].DNA = childGenome;
children[i].brain = brain;
}
//Reset all positions and numEatens
for (int i = 0; i < children.Length; i++)
{
children[i].numEaten = 0;
//children[i].posX = rnd.Next(Constants.tankLeft, Constants.tankRight);
//children[i].posY = rnd.Next(Constants.tankBottom, Constants.tankTop);
children[i].posX = 800;
children[i].posY = 400;
}
return(children);
}
