public NeuralNet Clone()
{
NeuralNet result = new NeuralNet();
result.layers = new List <List <NNConnection> >();
foreach (List <NNConnection> layer in layers)
{
List <NNConnection> copy = new List <NNConnection>();
foreach (NNConnection con in layer)
{
copy.Add(new NNConnection(con.n1, con.n2, con.w));
}
result.layers.Add(copy);
}
return(result);
}
public Player()
{
baseCar = new List <LineSegment>();
baseCar.Add(new LineSegment(new Point(-10, 5), new Point(10, 5)));
baseCar.Add(new LineSegment(new Point(10, 5), new Point(10, -5)));
baseCar.Add(new LineSegment(new Point(10, -5), new Point(-10, -5)));
baseCar.Add(new LineSegment(new Point(-10, -5), new Point(-10, 5)));
baseRays = new List <LineSegment>();
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, 23)));
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, 13)));
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, 8)));
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, 3)));
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, -2)));
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, -7)));
baseRays.Add(new LineSegment(new Point(4, 3), new Point(20, -17)));
baseRayDis = new List <float>();
baseRayDis.AddRange(new float[7]);
net = new NeuralNet();
running = new Stopwatch();
}
public void Load(string filename)
{
borders = new List <LineSegment>();
string[] lines = File.ReadAllLines(filename);
start = new Point();
foreach (string line in lines)
{
string[] parts = line.Split(';');
switch (parts[0])
{
case "bbminx": BBoxMin.X = Convert.ToInt32(parts[1]); break;
case "bbminy": BBoxMin.Y = Convert.ToInt32(parts[1]); break;
case "bbmaxx": BBoxMax.X = Convert.ToInt32(parts[1]); break;
case "bbmaxy": BBoxMax.Y = Convert.ToInt32(parts[1]); break;
case "bbsize": BBoxSize = Convert.ToInt32(parts[1]); break;
case "posx": start.X = Convert.ToInt32(parts[1]); break;
case "posy": start.Y = Convert.ToInt32(parts[1]); break;
case "seg_b":
LineSegment seg = new LineSegment();
seg.start = new Point(Convert.ToInt32(parts[1]), Convert.ToInt32(parts[2]));
seg.end = new Point(Convert.ToInt32(parts[3]), Convert.ToInt32(parts[4]));
borders.Add(seg);
break;
}
}
bestNet = players[0].net.Clone();
foreach (Player p in players)
{
p.pos = start;
}
}
public void Update()
{
foreach (Player p in players)
{
if (!p.running.IsRunning)
{
p.running.Start();
}
p.rot += p.steer * 20f;
if (!p.crashed)
{
p.pos.X += Helper.Cos(p.rot) * p.speed;
p.pos.Y -= Helper.Sin(p.rot) * p.speed;
long time = p.running.ElapsedMilliseconds;
if (time > bestTime + 10000)// 10 sec better?
{
test++;
generation++;
bestTime = time;
if (!dontEvolve)
{
bestNet = p.net.Clone();
}
p.pos = start;
p.rot = 0;
p.running.Restart();
p.baseRayDis = new List <float>(new float[7]);
}
}
else
{
test++;
p.running.Stop();
long time = p.running.ElapsedMilliseconds;
if (time > bestTime)//better?
{
generation++;
bestTime = time;
if (!dontEvolve)
{
bestNet = p.net.Clone();
}
else
{
p.net = bestNet;
}
}
else
{
p.net = bestNet.Clone();
if (!dontEvolve)
{
p.net.Randomize();
}
}
p.pos = start;
p.rot = 0;
p.running.Restart();
p.baseRayDis = new List <float>(new float[7]);
}
}
}
