public GeneticAlgorithm(IEvaluation <Element, EvaluationResult> evaluation, IStopCondition stopCondition, AGenerator <Element> generator,
ASelection <EvaluationResult> selection, ACrossover crossover, IMutation <Element> mutation, int populationSize,
AOptimizationState <Element, EvaluationResult, OptimizationResult> state, int?seed = null)
: base(evaluation, stopCondition, generator, selection, mutation, populationSize, state)
{
this.crossover = crossover;
indices = Utils.CreateIndexList(populationSize);
shuffler = new Shuffler(seed);
}
public APopulationOptimizer(IEvaluation <Element, EvaluationResult> evaluation, IStopCondition stopCondition, AGenerator <Element> generator,
ASelection <EvaluationResult> selection, IMutation <Element> mutation, int populationSize,
AOptimizationState <Element, EvaluationResult, OptimizationResult> state)
: base(evaluation, stopCondition, state)
{
this.generator = generator;
this.selection = selection;
this.mutation = mutation;
this.populationSize = populationSize;
population = new List <Individual <Element, EvaluationResult> >();
}