private void Mutate_Node(Random rand)
{
//UnityEngine.Debug.Log("starting mutate node");
if (ConnectionGeneSet.Count > 0)
{
ConnectionGene conn = ConnectionGeneSet.OrderBy(x => rand.Next()).FirstOrDefault();
//for(int i=0;i<ConnectionGeneSet.Count;i++)
//{
//ConnectionGene conn = ConnectionGeneSet.ElementAt(i);
NodeGene nodeFrom = NodeGeneSet.Where(x => x.Id.Equals(conn.NodeIn)).FirstOrDefault(),
nodeTo = NodeGeneSet.Where(x => x.Id.Equals(conn.NodeOut)).FirstOrDefault();
NodeGene node = pool.NodeGene_Get(conn.ReplaceIndex);
node.x = (nodeFrom.x + nodeTo.x) * .5f;
node.y = (nodeFrom.y + nodeTo.y) * (.4f + rand.Next(1, 20) * .01f);
node.y = (node.y >= 1f) ? 0.99f : (node.y <= 0f) ? 0.01f : node.y;
ConnectionGene connA = pool.ConnectionGene_GetOrCreate(conn.NodeIn, node.Id),
connB = pool.ConnectionGene_GetOrCreate(node.Id, conn.NodeOut);
connA.RandomizeWeight();
connA.IsEnabled = true;
connB.IsEnabled = conn.IsEnabled;
connB.Weight = conn.Weight;
connGeneSet.Add(connA);
connGeneSet.Add(connB);
conn.IsEnabled = false;
nodeGeneSet.Add(node);
//}
// UnityEngine.Debug.Log("mutate node succesfull");
}
}
/// <summary>
/// Creates new ConnectionGene.
/// </summary>
/// <param name="nIn">Input node id</param>
/// <param name="nOut">Output node id</param>
/// <returns></returns>
public ConnectionGene ConnectionGene_Add(int nIn, int nOut)
{
//int inv = ((connGeneList.Count > 0) ? connGeneList.Max(x => x.InnovationNumber) : 0) + 1;
innovationNumberList.Add(innovationNumber++);
int replaceIndex = NodeGene_Next().Id;
ConnectionGene connGene = new ConnectionGene(nIn,
nOut,
GetRandomWeight(),
true,
innovationNumberList.Last(),
replaceIndex);
connGeneList.Add(connGene);
return(connGene);
}
//private float BLX(float x1,float x2,Random rand)
//{
// float a = rand.Next(0, 100) * 0.01f,
// d = Math.Abs(x2 - x1),
// min = Math.Min(x1, x2),
// max = Math.Max(x1, x2);
// return Utils.Utilities.Lerp(min - a * d, max + a * d, (float)rand.NextDouble());
//}
public float CalculateDistance(Genome genomeB, float coef1, float coef2, float coef3)
{
Genome genomeA;
if (genomeB.ConnectionGeneSet.Max(x => x.InnovationNumber) > this.ConnectionGeneSet.Max(x => x.InnovationNumber))
{
genomeA = genomeB;
genomeB = this;
}
else
{
genomeA = this;
}
int nExcess = 0,
nDisjoints = 0,
nSimilar = 0,
iGenomeA = 0,
iGenomeB = 0;
float weight_diff = 0f;
int countA = genomeA.ConnectionGeneSet.Count(),
countB = genomeB.ConnectionGeneSet.Count();
while (iGenomeA < countA && iGenomeB < countB)
{
ConnectionGene connA = genomeA.ConnectionGeneSet.ElementAt(iGenomeA),
connB = genomeB.ConnectionGeneSet.ElementAt(iGenomeB);
int innovA = connA.InnovationNumber,
innovB = connB.InnovationNumber;
if (innovA == innovB)
{
nSimilar++;
weight_diff += Math.Abs(connA.Weight - connB.Weight);
iGenomeA++;
iGenomeB++;
}
else if (innovA > innovB)
{
// disjoint of geneA
nDisjoints++;
iGenomeB++;
}
else
{
//disjoint of geneB
nDisjoints++;
iGenomeA++;
}
}
// string innovGenomeA = "";
// UnityEngine.Debug.Log("similarity = " + nSimilar);
// UnityEngine.Debug.Log("pre weight_diff = " + weight_diff);
weight_diff /= (nSimilar > 0) ? nSimilar : 1;
// UnityEngine.Debug.Log("post weight_diff = " + weight_diff);
nExcess = countA - iGenomeA;
float max = Math.Max(countA, countB);
float n = (max < 20) ? 1f : max;
float dist = coef1 * nExcess / n + coef2 * nDisjoints / n + coef3 * weight_diff;
return(dist);
}
public Genome Crossover(Genome genomeB, Random rand)
{
Genome genomeA, offspring = new Genome(InputNodeNumber, OutputNodeNumber, pool);
if (genomeB.Fitness > Fitness)
{
genomeA = genomeB;
genomeB = this;
}
else
{
genomeA = this;
}
//if (genomeB.ConnectionGeneSet.Max(x => x.InnovationNumber) > this.ConnectionGeneSet.Max(x => x.InnovationNumber))
//{
// genomeA = genomeB;
// genomeB = this;
//}
//else
//{
// genomeA = this;
//}
int iGenomeA = 0,
iGenomeB = 0,
countA = genomeA.ConnectionGeneSet.Count,
countB = genomeB.ConnectionGeneSet.Count;
while (iGenomeA < countA && iGenomeB < countB)
{
ConnectionGene connA = genomeA.ConnectionGeneSet.ElementAt(iGenomeA),
connB = genomeB.ConnectionGeneSet.ElementAt(iGenomeB);
int innovA = connA.InnovationNumber,
innovB = connB.InnovationNumber;
if (innovA == innovB)
{
ConnectionGene newConn;
if (rand.NextDouble() < .5)
{
newConn = connA.Clone() as ConnectionGene;
}
else
{
newConn = connB.Clone() as ConnectionGene;
}
//ConnectionGene conn = connA.Clone() as ConnectionGene;
//conn.RandomizeWeight();
//offspring.ConnectionGeneSet.Add(conn);
//float min = Math.Min(connA.Weight, connB.Weight),
// max = Math.Max(connA.Weight, connB.Weight);
//newConn.Weight = (float)((max - min) * rand.NextDouble()) + min;
//newConn.Weight = BLX(connA.Weight, connB.Weight, rand);
//if (rand.NextDouble() < .25)
// newConn.IsEnabled = !newConn.IsEnabled;
offspring.ConnectionGeneSet.Add(newConn);
iGenomeA++;
iGenomeB++;
}
else if (innovA > innovB)
{
// disjoint of geneB
iGenomeB++;
}
else
{
//disjoint of geneA
offspring.ConnectionGeneSet.Add(connA.Clone() as ConnectionGene);
iGenomeA++;
}
}
while (iGenomeA < countA)
{
ConnectionGene conn = genomeA.ConnectionGeneSet.ElementAt(iGenomeA).Clone() as ConnectionGene;
offspring.ConnectionGeneSet.Add(conn);
iGenomeA++;
}
foreach (ConnectionGene conn in genomeA.ConnectionGeneSet)
{
offspring.NodeGeneSet.Add(pool.NodeGene_Get(conn.NodeIn));
offspring.NodeGeneSet.Add(pool.NodeGene_Get(conn.NodeOut));
}
offspring.parentColor = species?.color ?? new float[] { 1f, 0f, 0f, };
return(offspring);
}
