}//Crossover2 Finish
//Crossover3 Start
public void Crossover3(ref List <Chromosome> parents, double probability)
{
List <Chromosome> offspring = new List <Chromosome>();
for (int i = 0; i < parents.Count / 2; i++)
{
if (Assay(probability)) //if the chance is to crossover
{
Chromosome parentX = AssayRuletteWheel(parents);
Chromosome parentY = AssayRuletteWheel(parents);
List <int> child1 = new List <int>();
List <int> child2 = new List <int>();
for (int c = 0; c < a; c++)
{
child1.Add(-1);
child2.Add(-1);
}
int intervalB = random.Next(0, a - 1); //Index which starts of interval
int intervalF = random.Next(intervalB + 1, a); //Index which finish of interval
for (int j = intervalB; j < intervalF; j++)
{
child1[j] = parentX.genes[j];
child2[j] = parentY.genes[j];
}
for (int j = intervalB; j < intervalF; j++)
{
int index = j;
int cross;
if (child1.Contains(parentY.genes[index]))
{
continue;
}
for (int k = 0; k >= 0; k++)
{
cross = child1[index];
index = Array.IndexOf(parentY.genes, cross);
if (child1[index] != -1)
{
cross = child1[index];
index = Array.IndexOf(parentY.genes, cross);
}
if (child1[index] == -1)
{
child1[index] = parentY.genes[j];
break;
}
}
int index2 = j;
int cross2;
if (child2.Contains(parentX.genes[index2]))
{
continue;
}
for (int k = 0; k >= 0; k++)
{
cross2 = child2[index2];
index2 = Array.IndexOf(parentX.genes, cross2);
if (child2[index2] != -1)
{
cross2 = child2[index2];
index2 = Array.IndexOf(parentX.genes, cross2);
}
if (child2[index2] == -1)
{
child2[index2] = parentX.genes[j];
break;
}
}
}
for (int j = 0; j < a; j++)
{
if (child1[j] == -1)
{
for (int k = 0; k < parentY.genes.Length; k++)
{
if (!child1.Contains(parentY.genes[k]))//instead of deleting the similar genes from parents select the next non-contained number
{
child1[j] = parentY.genes[k];
break;
}
}
}
if (child2[j] == -1)
{
for (int k = 0; k < parentX.genes.Length; k++)
{
if (!child2.Contains(parentX.genes[k]))//instead of deleting the similar genes from parents select the next non-contained number
{
child2[j] = parentX.genes[k];
break;
}
}
}
}
Chromosome offSpr = new Chromosome();
offSpr.genes = child1.ToArray();
offspring.Add(offSpr);
offSpr.genes = child2.ToArray();
offspring.Add(offSpr);
}
else //else the chance is to clonning
{
Chromosome parentX = AssayRuletteWheel(parents);
offspring.Add(parentX);
Chromosome parentY = AssayRuletteWheel(parents);
offspring.Add(parentY);
}
}
while (offspring.Count > parents.Count)
{
offspring.RemoveAt((int)GetRandomVal(0, offspring.Count - 1));
}
parents = offspring;
}//Crossover3 Finish
}//Crossover3 Finish
//Crossover4 Start
public void Crossover4(ref List <Chromosome> parents, double probability)
{
List <Chromosome> offspring = new List <Chromosome>();
for (int i = 0; i < parents.Count / 2; i++)
{
if (Assay(probability)) //if the chance is to crossover
{
Chromosome parentX = AssayRuletteWheel(parents);
Chromosome parentY = AssayRuletteWheel(parents);
List <int> child1 = new List <int>();
List <int> child2 = new List <int>();
for (int c = 0; c < a; c++)
{
child1.Add(-1);
child2.Add(-1);
}
int index = 0;
int cross = parentX.genes[0];
int cross2;
List <int> position = new List <int>();
for (int j = 0; j > 0; j++)
{
cross2 = parentY.genes[index];
index = Array.IndexOf(parentX.genes, cross);
position.Add(index);
if (parentY.genes[index] == cross)
{
break;
}
}
for (int k = 0; k < a; k++)
{
if (!position.Contains(k))
{
child2[k] = parentX.genes[k];
child1[k] = parentY.genes[k];
}
}
Chromosome offSpr = new Chromosome();
offSpr.genes = child1.ToArray();
offspring.Add(offSpr);
offSpr.genes = child2.ToArray();
offspring.Add(offSpr);
}
else //else the chance is to clonning
{
Chromosome parentX = AssayRuletteWheel(parents);
offspring.Add(parentX);
Chromosome parentY = AssayRuletteWheel(parents);
offspring.Add(parentY);
}
}
while (offspring.Count > parents.Count)
{
offspring.RemoveAt((int)GetRandomVal(0, offspring.Count - 1));
}
parents = offspring;
}//Crossover4 Finish
}//Crossover1 Finish
//Crossover2 Start
public void Crossover2(ref List <Chromosome> parents, double probability)
{
List <Chromosome> offspring = new List <Chromosome>();
for (int i = 0; i < parents.Count / 2; i++)
{
if (Assay(probability)) //if the chance is to crossover
{
Chromosome parentX = AssayRuletteWheel(parents);
Chromosome parentY = AssayRuletteWheel(parents);
List <int> child1 = new List <int>();
List <int> child2 = new List <int>();
int divide = random.Next(0, a);
for (int j = 0; j < a; j++)
{
if (j < divide)
{
child1.Add(parentX.genes[j]);
}
else
{
for (int k = 0; k < parentY.genes.Length; k++)
{
if (!child1.Contains(parentY.genes[k]))//instead of deleting the similar genes from parents select the next non-contained number
{
child1.Add(parentY.genes[k]);
break;
}
}
}
if (j < divide)
{
child2.Add(parentY.genes[j]);
}
else
{
for (int k = 0; k < parentX.genes.Length; k++)
{
if (!child2.Contains(parentX.genes[k]))//instead of deleting the similar genes from parents select the next non-contained number
{
child2.Add(parentX.genes[k]);
break;
}
}
}
}
Chromosome offSpr = new Chromosome();
offSpr.genes = child1.ToArray();
offspring.Add(offSpr);
offSpr.genes = child2.ToArray();
offspring.Add(offSpr);
}
else //else the chance is to clonning
{
Chromosome parentX = AssayRuletteWheel(parents);
offspring.Add(parentX);
Chromosome parentY = AssayRuletteWheel(parents);
offspring.Add(parentY);
}
}
while (offspring.Count > parents.Count)
{
offspring.RemoveAt((int)GetRandomVal(0, offspring.Count - 1));
}
parents = offspring;
}//Crossover2 Finish
