private void CreateNewPairIndividuals(int indexTo, Individual firstIndividual, Individual secondIndividual)
{
for (int i = 0; i < indexTo; i++)
{
int secondIndividualPermutationElementAtCurrentIndexI = secondIndividual.Permutation.ElementAt(i);
int[] hybridizationTmpArray = new int[indexTo];
Array.Copy(firstIndividual.Permutation, hybridizationTmpArray, indexTo);
if (WasHere(hybridizationTmpArray, secondIndividualPermutationElementAtCurrentIndexI))
{
Permutator.Swap(firstIndividual.Permutation, i, FindThisNumberInArray(firstIndividual.Permutation, secondIndividualPermutationElementAtCurrentIndexI));
Permutator.SwapBeetweenArrays(firstIndividual.Permutation, secondIndividual.Permutation, i);
}
}
}
private void CreateNewRandomPopulation()
{
#region Create new defualt array {0,1,2,3,4,5, ... , dimension-1}
int[] defaultArray = new int[Dimension];
for (int i = 0; i < Dimension; i++)
{
defaultArray[i] = i;
}
#endregion Create new defualt array {0,1,2,3,4,5, ... , dimension-1}
for (int i = 0; i < POPULATION_SIZE; i++)
{
individuals.ElementAt(i).Permutation = Permutator.GetRandomPermutation(defaultArray);
}
}
private void DoMutation()
{
for (int i = 0; i < POPULATION_SIZE; i++)
{
Individual tmp = individuals.ElementAt(i);
for (int j = 0; j < Dimension; j++)
{
int randomNumber = random.Next(MAX_PROBABILITY);
if (MUTATION_PROBABILITY > randomNumber)
{
int randomIndex = random.Next(Dimension);
while (j == randomIndex)
{
randomIndex = random.Next(Dimension);
}
//MUTATE
Permutator.Swap(tmp.Permutation, j, randomIndex);
tmp.Fitnes = CostCounter.CountCost(tmp.Permutation);
}
}
}
}
