public void crossoverHerd(List<Krill> herd, HerdParameters parameters)
{
foreach (Krill krill in herd) {
float Cr = 0.2f * tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), parameters.getBestFitnessValue(), parameters);
float ran = Random.Range(0.0f,1.0f);
if (ran < Cr) {
crossKrill(krill, herd);
}
}
}
private Position calculateAlphaTarget(HerdParameters parameters, Krill krill)
{
Position relatedPosition = tendencyCalculator.calculateRelatedPosition(parameters.getBestFitnessPosition(), krill.getPosition());
float relatedFitness = tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(),parameters.getBestFitnessValue(), parameters);
relatedPosition = relatedPosition * relatedFitness;
relatedPosition = relatedPosition * calculateCoefficient(parameters);
return relatedPosition;
}
public void mutateHerd(List<Krill> herd, HerdParameters parameters)
{
foreach (Krill krill in herd) {
float Mu = 0.05f / tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), parameters.getBestFitnessValue(), parameters);
float ran = Random.Range(0.0f,1.0f);
if (ran < Mu) {
mutateKrill(krill, herd, parameters);
}
}
}
public void crossoverHerd(List <Krill> herd, HerdParameters parameters)
{
foreach (Krill krill in herd)
{
float Cr = 0.2f * tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), parameters.getBestFitnessValue(), parameters);
float ran = Random.Range(0.0f, 1.0f);
if (ran < Cr)
{
crossKrill(krill, herd);
}
}
}
private Position calculateAlphaTarget(HerdParameters parameters, Krill krill)
{
Position relatedPosition = tendencyCalculator.calculateRelatedPosition(parameters.getBestFitnessPosition(), krill.getPosition());
float relatedFitness = tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), parameters.getBestFitnessValue(), parameters);
relatedPosition = relatedPosition * relatedFitness;
relatedPosition = relatedPosition * calculateCoefficient(parameters);
return(relatedPosition);
}
public void mutateHerd(List <Krill> herd, HerdParameters parameters)
{
foreach (Krill krill in herd)
{
float Mu = 0.05f / tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), parameters.getBestFitnessValue(), parameters);
float ran = Random.Range(0.0f, 1.0f);
if (ran < Mu)
{
mutateKrill(krill, herd, parameters);
}
}
}
