public NSGA2(IMultiObjectiveGeneticOperation <T> reproduction,
IChromosomeEvaluator <T> chromosomeEvaluator,
IReadOnlyDictionary <T, double> coefficients)
{
_reproduction = reproduction;
_chromosomeEvaluator = chromosomeEvaluator;
_offspringSelection = new OffspringSelection <T>(coefficients);
}
public GeneticSearchOptions(int populationSize, List <IStopManager> stopManagers, bool includeAllHistory,
List <IPopulationRenwalManager> populationRenwalManagers, double elitePercentage, IMutationProbabilityManager mutationManager, List <IPopulationConverter> populationConverters, IChromosomeEvaluator chromosomeEvaluator)
{
StopManagers = stopManagers;
IncludeAllHistory = includeAllHistory;
PopulationRenwalManagers = populationRenwalManagers;
AssertIsBetweenZeroAndOne(elitePercentage, nameof(elitePercentage));
ElitePercentage = elitePercentage;
MutationManager = mutationManager;
PopulationConverters = populationConverters;
ChromosomeEvaluator = chromosomeEvaluator;
PopulationSize = populationSize > 0
? populationSize
: throw new GeneticAlgorithmException(nameof(populationSize) + " must be greater then zero");
}
/// <summary>
/// If you set an IChromosomeEvaluator, the engine will use your ChromosomeEvaluator's evaluate method (and not the chromosome's default evaluate method).
/// Since the IChromosomeEvaluator's SetEnvierment is called before the evaluation starts, your ChromosomeEvaluator can use use the information in the environment to evaluate the chromosomes.
/// </summary>
public GeneticSearchEngineBuilder SetCustomChromosomeEvaluator(IChromosomeEvaluator evaluator)
{
chromosomeEvaluator = evaluator;
return(this);
}