private Position calculateBetaBest(Krill krill, HerdParameters parameters)
{
Position bestRelatedPosition = tendencyCalculator.calculateRelatedPosition(krill.getBestPosition(),krill.getPosition());
float bestFitness = tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(),krill.getBestPositionFitness(),parameters);
//Debug.Log("best fitness " + bestFitness);
bestRelatedPosition = bestRelatedPosition * bestFitness;
return bestRelatedPosition;
}
private float calculateSenseDistance(List<Krill> herd, Krill krill)
{
float distance = 0.0f;
foreach(Krill other in herd){
distance += krill.getPosition().distanceFrom(other.getPosition());
}
return distance/(5.0f * herd.Count);
}
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 updateBestWorstKrill(Krill krill)
{
if(krill.getFitnessValue() < bestFitnessValue){
bestKrill = krill;
bestFitnessValue = krill.getFitnessValue();
bestFitnessPosition = krill.getPosition().getClone();
}
if(krill.getFitnessValue() > worstFitnessValue){
worstFitnessValue = krill.getFitnessValue();
}
}
private float calculateSenseDistance(List <Krill> herd, Krill krill)
{
float distance = 0.0f;
foreach (Krill other in herd)
{
distance += krill.getPosition().distanceFrom(other.getPosition());
}
return(distance / (5.0f * herd.Count));
}
public void updateBestWorstKrill(Krill krill)
{
if (krill.getFitnessValue() < bestFitnessValue)
{
bestKrill = krill;
bestFitnessValue = krill.getFitnessValue();
bestFitnessPosition = krill.getPosition().getClone();
}
if (krill.getFitnessValue() > worstFitnessValue)
{
worstFitnessValue = krill.getFitnessValue();
}
}
private Position calculateAlphaLocal(List<Krill> neighbours, Krill krill, HerdParameters parameters)
{
Position alphaLocal = new Position();
foreach (Krill neighbour in neighbours) {
Position relatedPosition = tendencyCalculator.calculateRelatedPosition(neighbour.getPosition(), krill.getPosition());
float relatedFitness = tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(),neighbour.getFitnessValue(), parameters);
relatedPosition = relatedPosition * relatedFitness;
alphaLocal = alphaLocal + relatedPosition;
}
return alphaLocal;
}
public List<Krill> determinateNeighbours(List<Krill> herd, Krill krill)
{
List<Krill> neighbours = new List<Krill>();
float senseDistance = calculateSenseDistance(herd,krill);
foreach(Krill other in herd){
if(!(krill==other)){
float distance = krill.getPosition().distanceFrom(other.getPosition());
if(distance <= senseDistance){
neighbours.Add(other);
}
}
}
return neighbours;
}
public List <Krill> determinateNeighbours(List <Krill> herd, Krill krill)
{
List <Krill> neighbours = new List <Krill>();
float senseDistance = calculateSenseDistance(herd, krill);
foreach (Krill other in herd)
{
if (!(krill == other))
{
float distance = krill.getPosition().distanceFrom(other.getPosition());
if (distance <= senseDistance)
{
neighbours.Add(other);
}
}
}
return(neighbours);
}
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);
}
private Position calculateAlphaLocal(List <Krill> neighbours, Krill krill, HerdParameters parameters)
{
Position alphaLocal = new Position();
foreach (Krill neighbour in neighbours)
{
Position relatedPosition = tendencyCalculator.calculateRelatedPosition(neighbour.getPosition(), krill.getPosition());
float relatedFitness = tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), neighbour.getFitnessValue(), parameters);
relatedPosition = relatedPosition * relatedFitness;
alphaLocal = alphaLocal + relatedPosition;
}
return(alphaLocal);
}
public int getVerticalInput()
{
bestKrill = herd.simulate();
return(angleDirection(bestKrill.getPosition().toVector3()));
}
public int getVerticalInput()
{
bestKrill = herd.simulate();
return angleDirection(bestKrill.getPosition().toVector3());
}
private Position calculateBetaBest(Krill krill, HerdParameters parameters)
{
Position bestRelatedPosition = tendencyCalculator.calculateRelatedPosition(krill.getBestPosition(), krill.getPosition());
float bestFitness = tendencyCalculator.calculateRelatedFitness(krill.getFitnessValue(), krill.getBestPositionFitness(), parameters);
//Debug.Log("best fitness " + bestFitness);
bestRelatedPosition = bestRelatedPosition * bestFitness;
return(bestRelatedPosition);
}