public Evolution(IRandomNumberGenerator random,
IChromosomeFactory chromosomeFactory,
IPopulationStrategy populationStrategy,
IMutationStrategy mutationStrategy,
ICrossoverStrategy crossoverStrategy,
ISelectionStrategy selectionStrategy)
{
// TODO: Complete member initialization
this.random = random;
this.chromosomeFactory = chromosomeFactory;
this.populationStrategy = populationStrategy;
this.mutationStrategy = mutationStrategy;
this.crossoverStrategy = crossoverStrategy;
this.selectionStrategy = selectionStrategy;
}
private GeneticAlgorithm(int continuousVariablesCount, int integerVariablesCount, IDesignFactory designFactory,
IOptimizationLogger logger, IConvergenceCriterion convergenceCriterion, IInitializer <double> initializer,
IEncoding <T> encoding, int populationSize, IPopulationStrategy <T> populationStrategy,
ISelectionStrategy <T> selection, IRecombinationStrategy <T> recombination, IMutationStrategy <T> mutation)
{
this.continuousVariablesCount = continuousVariablesCount;
this.integerVariablesCount = integerVariablesCount;
this.designFactory = designFactory;
this.logger = logger;
this.convergenceCriterion = convergenceCriterion;
this.initializer = initializer;
this.encoding = encoding;
this.populationSize = populationSize;
this.populationStrategy = populationStrategy;
this.selection = selection;
this.recombination = recombination;
this.mutation = mutation;
this.CurrentIteration = -1; // Initialization phase is not counted towards iterations
this.BestPosition = null;
this.BestFitness = double.MaxValue;
}
