private void computeFitness(ref List <MoChromosome> F1)
{
for (int i = 0; i < F1.Count; i++)
{
F1[i].fitnessValue = Tool.ArraySum(TranObj(F1[i]));
}
}
protected void EnviromentSelection(List <MoChromosome> pop)
{
for (int i = 0; i < pop.Count; i++)
{
pop[i].fpr = Tool.ArraySum(TranObj(pop[i]));
}
List <double[]> shareMatrix = ShareMatrix(pop);
for (int i = 0; i < pop.Count; i++)
{
pop[i].fcd = Math.Pow(Tool.ArraySum(shareMatrix[i]), 0.5);
}
List <MoChromosome> result = new List <MoChromosome>();
List <List <MoChromosome> > dominatedSet0 = BiGEfastNonDominatedSort(pop);
int cnt = 0;
while (result.Count() + dominatedSet0[cnt].Count() < this.popsize)
{
for (int r = 0; r < dominatedSet0[cnt].Count(); r++)
{
dominatedSet0[cnt][r].selected = true;
}
result.AddRange(dominatedSet0[cnt]);
cnt++;
}
Boolean[] flag = new Boolean[dominatedSet0[cnt].Count];
for (int i = 0; i < flag.Length; i++)
{
flag[i] = false;
}
while (result.Count < this.popsize)
{
int rnd = random.Next() % flag.Length;
if (flag[rnd] == false)
{
result.Add(dominatedSet0[cnt][rnd]);
flag[rnd] = true;
}
}
mainpop.Clear();
mainpop.AddRange(result);
return;
}
