public NSGA2(IEvaluation <Element, Tuple <double, double> > evaluation, IStopCondition stopCondition, AGenerator <Element> generator,
IDominationComparer dominationComparer, ACrossover crossover, IMutation <Element> mutation, int populationSize,
int?seed = null)
: base(evaluation, stopCondition, generator, new NSGA2Selection(2, evaluation.tMaxValue, dominationComparer, true, seed),
crossover, mutation, populationSize, seed)
{
}
public Ranking(Tuple <double, double> maxObjectiveValues, IDominationComparer dominationComparer)
{
this.maxObjectiveValues = maxObjectiveValues;
this.dominationComparer = dominationComparer;
RankingList = new List <Individual <Element> >();
}
public ParetoFront(Tuple <double, double> objectiveMaxValues, List <Tuple <double, double> > optimalParetoFront,
IDominationComparer dominationComparer)
{
this.objectiveMaxValues = objectiveMaxValues;
optimalFront = optimalParetoFront;
this.dominationComparer = dominationComparer;
Front = new List <Tuple <double, double> >();
}
public NSGA2Selection(int size, Tuple <double, double> maxObjectiveValues, IDominationComparer dominationComparer, bool modifyPopulation = true, int?seed = null)
{
rng = new UniformIntegerRandom(seed);
shuffler = new Shuffler(seed);
this.size = size;
this.maxObjectiveValues = maxObjectiveValues;
this.dominationComparer = dominationComparer;
this.modifyPopulation = modifyPopulation;
rankingRef = null;
}
public DominatingTournamentSelection(int size, IDominationComparer dominationComparer, int?seed = null)
{
this.size = size;
this.dominationComparer = dominationComparer;
shuffler = new Shuffler(seed);
}
public OptimizationResult(Tuple <double, double> objectiveMaxValues, List <Tuple <double, double> > optimalParetoFront,
IDominationComparer dominationComparer)
{
Front = new ParetoFront(objectiveMaxValues, optimalParetoFront, dominationComparer);
}
public SampleBiObjectiveSelection(IDominationComparer dominationComparer, int?seed = null)
{
shuffler = new Shuffler(seed);
this.dominationComparer = dominationComparer;
}