public static void MutationStep(NeuroEngine ne)
{
if (r.NextDouble() > 1.0f - probAddNode)
AddNodeStep(ne);
if (r.NextDouble() > 1.0f - probDelNode)
DelNodeStep(ne);
if (r.NextDouble() > 1.0f - probAddConn)
AddConnStep(ne);
if (r.NextDouble() > 1.0f - probDelConn)
DelConnStep(ne);
if (r.NextDouble() > 1.0f - probSwapXor)
XorSwapStep(ne);
}
private static void AddNodeStep(NeuroEngine ne)
{
NeuroEngine.PosStruct p;
List<NeuroEngine.PosStruct> tmp;
bool run;
if (ne.NeuroNodes.Length < maxNodes)
{
tmp = new List<NeuroEngine.PosStruct>();
tmp.AddRange(ne.NeuroNodes);
p = new NeuroEngine.PosStruct();
run = true;
while (run)
{
run = false;
p.x = r.Next(20);
p.y = r.Next(10);
p.state = 0;
for (int i = 0; i < tmp.Count; i++)
if (tmp[i].x == p.x && tmp[i].y == p.y)
{
run = true;
break;
}
}
tmp.Add(p);
ne.NeuroNodes = tmp.ToArray();
}
if (ne.InNodes.Length < maxInNodes)
{
tmp = new List<NeuroEngine.PosStruct>();
tmp.AddRange(ne.InNodes);
p = new NeuroEngine.PosStruct();
run = true;
while (run)
{
run = false;
p.x = r.Next(10);
p.y = r.Next(10);
p.state = 0;
for (int i = 0; i < tmp.Count; i++)
if (tmp[i].x == p.x && tmp[i].y == p.y)
{
run = true;
break;
}
}
tmp.Add(p);
ne.InNodes = tmp.ToArray();
}
}
private static void AddConnStep(NeuroEngine ne)
{
List<NeuroEngine.Connection> tmp;
if (ne.In2Nod.Length < maxConIn2Nod)
{
tmp = new List<NeuroEngine.Connection>();
tmp.AddRange(ne.In2Nod);
NeuroEngine.Connection c = new NeuroEngine.Connection();
c.start = r.Next(ne.InNodes.Length);
c.end = r.Next(ne.NeuroNodes.Length);
c.xor = (r.NextDouble() >= 0.5f);
tmp.Add(c);
ne.In2Nod = tmp.ToArray();
}
if (ne.Nod2Nod.Length < maxConNod2Nod)
{
tmp = new List<NeuroEngine.Connection>();
tmp.AddRange(ne.Nod2Nod);
NeuroEngine.Connection c = new NeuroEngine.Connection();
c.start = r.Next(ne.NeuroNodes.Length);
c.end = r.Next(ne.NeuroNodes.Length);
c.xor = (r.NextDouble() >= 0.5f);
tmp.Add(c);
ne.Nod2Nod = tmp.ToArray();
}
if (ne.Nod2Out.Length < maxConNod2Out)
{
tmp = new List<NeuroEngine.Connection>();
tmp.AddRange(ne.Nod2Out);
NeuroEngine.Connection c = new NeuroEngine.Connection();
c.start = r.Next(ne.NeuroNodes.Length);
c.end = 0;
c.xor = (r.NextDouble() >= 0.5f);
tmp.Add(c);
ne.Nod2Out = tmp.ToArray();
}
}
public LevelEngine()
{
ne = new NeuroEngine(this);
InitRandom();
ResetLevel();
}
private void Display_Load(object sender, EventArgs e)
{
ne = le.ne;
}
private static void XorSwapStep(NeuroEngine ne)
{
int n;
n = r.Next(ne.In2Nod.Length);
ne.In2Nod[n].xor = !ne.In2Nod[n].xor;
n = r.Next(ne.Nod2Nod.Length);
ne.Nod2Nod[n].xor = !ne.Nod2Nod[n].xor;
n = r.Next(ne.Nod2Out.Length);
ne.Nod2Out[n].xor = !ne.Nod2Out[n].xor;
}
private static void DelNodeStep(NeuroEngine ne)
{
List<NeuroEngine.PosStruct> tmp;
if (ne.NeuroNodes.Length > minNodes)
{
int n = r.Next(ne.NeuroNodes.Length);
tmp = new List<NeuroEngine.PosStruct>();
tmp.AddRange(ne.NeuroNodes);
tmp.RemoveAt(n);
ne.NeuroNodes = tmp.ToArray();
for (int i = 0; i < ne.In2Nod.Length; i++)
if (ne.In2Nod[i].end > n)
ne.In2Nod[i].end--;
else if (ne.In2Nod[i].end == n)
ne.In2Nod[i].end = r.Next(ne.NeuroNodes.Length);
for (int i = 0; i < ne.Nod2Nod.Length; i++)
{
if (ne.Nod2Nod[i].end > n)
ne.Nod2Nod[i].end--;
else if (ne.Nod2Nod[i].end == n)
ne.Nod2Nod[i].end = r.Next(ne.NeuroNodes.Length);
if (ne.Nod2Nod[i].start > n)
ne.Nod2Nod[i].start--;
else if (ne.Nod2Nod[i].start == n)
ne.Nod2Nod[i].start = r.Next(ne.NeuroNodes.Length);
}
for (int i = 0; i < ne.Nod2Out.Length; i++)
if (ne.Nod2Out[i].start > n)
ne.Nod2Out[i].start--;
else if (ne.Nod2Out[i].start == n)
ne.Nod2Out[i].start = r.Next(ne.NeuroNodes.Length);
}
if (ne.InNodes.Length > minInNodes)
{
int n = r.Next(ne.InNodes.Length);
tmp = new List<NeuroEngine.PosStruct>();
tmp.AddRange(ne.InNodes);
tmp.RemoveAt(n);
ne.InNodes = tmp.ToArray();
for (int i = 0; i < ne.In2Nod.Length; i++)
if (ne.In2Nod[i].start > n)
ne.In2Nod[i].start--;
else if (ne.In2Nod[i].start == n)
ne.In2Nod[i].start = r.Next(ne.NeuroNodes.Length);
}
}
private static void DelConnStep(NeuroEngine ne)
{
List<NeuroEngine.Connection> tmp;
int n;
if (ne.In2Nod.Length > minConIn2Nod)
{
n = r.Next(ne.In2Nod.Length);
tmp = new List<NeuroEngine.Connection>();
tmp.AddRange(ne.In2Nod);
tmp.RemoveAt(n);
ne.In2Nod = tmp.ToArray();
}
if (ne.Nod2Nod.Length > minConNod2Nod)
{
n = r.Next(ne.Nod2Nod.Length);
tmp = new List<NeuroEngine.Connection>();
tmp.AddRange(ne.Nod2Nod);
tmp.RemoveAt(n);
ne.Nod2Nod = tmp.ToArray();
}
if (ne.Nod2Out.Length > minConNod2Out)
{
n = r.Next(ne.Nod2Out.Length);
tmp = new List<NeuroEngine.Connection>();
tmp.AddRange(ne.Nod2Out);
tmp.RemoveAt(n);
ne.Nod2Out = tmp.ToArray();
}
}