protected MoChromosome GeneticOPDE(int pos, int i)
{//Differential Evolution
int k, l;
MoChromosome chromosome1;
MoChromosome chromosome2;
if (Pop[pos].Count < 4)
{
do
{
k = random.Next(0, popsize - 1);
}while (k == i);
do
{
l = random.Next(0, popsize - 1);
}while (l == k || l == i);
chromosome1 = mainpop[k];
chromosome2 = mainpop[l];
}
else
{
do
{
k = random.Next(0, Pop[pos].Count);
}while (k == i);
do
{
l = random.Next(0, Pop[pos].Count);
}while (l == k || l == i);
chromosome1 = Pop[pos][k];
chromosome2 = Pop[pos][l];
}
// generic operation crossover and mutation.
MoChromosome offSpring = this.CreateChromosome();
MoChromosome current = Pop[pos][i];
offSpring.DECrossover(current, chromosome1, chromosome2, random);
offSpring.Mutate(1d / offSpring.parDimension, random);
return(offSpring);
}
/// <summary>
/// Differential Evolution based approach to generate offspring
/// </summary>
/// <param name="idx">the index of individual</param>
/// <param name="flag"></param>
/// <returns></returns>
protected MoChromosome DECrossover(int i, Boolean flag = false)
{
int k, l;
if (true == flag && random.NextDouble() < 0.5)
{
do
{
k = neighbourTable[i][random.Next(this.neighbourSize)];
}while (k == i);
do
{
l = neighbourTable[i][random.Next(this.neighbourSize)];
}while (l == k || l == i);
}
else
{
do
{
k = random.Next(0, popsize - 1);
}while (k == i);
do
{
l = random.Next(0, popsize - 1);
}while (l == k || l == i);
}
MoChromosome chromosome1 = mainpop[k];
MoChromosome chromosome2 = mainpop[l];
// generic operation crossover and mutation.
MoChromosome offSpring = this.CreateChromosome();
MoChromosome current = mainpop[i];
offSpring.DECrossover(current, chromosome1, chromosome2, random);
offSpring.Mutate(1d / offSpring.parDimension, random);
return(offSpring);
}