/// <summary>
/// Selected Individuals are returned
/// </summary>
/// <param name="targetIndividuals"></param>
/// <returns></returns>
public IndividualsGroup ExecuteSelection(IndividualsGroup _targetIndividuals)
{
IndividualsGroup selectedIndividuals = new IndividualsGroup();
IndividualsGroup targetIndividuals = new IndividualsGroup(_targetIndividuals);
var elite = EliteSelection(targetIndividuals);
SelectedIndividualsIndex[0] = targetIndividuals.IndexOf(elite);
targetIndividuals.IndivisualsGroup.Remove(elite);
var roulette = RouletteSelection(targetIndividuals);
if (SelectedIndividualsIndex[0] <= targetIndividuals.IndexOf(roulette))
{
SelectedIndividualsIndex[1] = targetIndividuals.IndexOf(roulette) + 1;
}
else
{
SelectedIndividualsIndex[1] = targetIndividuals.IndexOf(roulette);
}
selectedIndividuals.AddIndivisual(elite);
selectedIndividuals.AddIndivisual(roulette);
return(selectedIndividuals);
}
/// <summary>
/// Create Individuals from parameters and fitnesses
/// </summary>
/// <param name="parameters"></param>
/// <param name="fitnesses"></param>
/// <returns></returns>
private IndividualsGroup CreateIndividuals(double[][] parameters, double[] fitnesses)
{
// Evaluate generated offspring
IndividualsGroup offspring = new IndividualsGroup();
var nCrossover = parameters.Length;
for (int i = 0; i < nCrossover; i++)
{
offspring.AddIndivisual(new Individual(parameters[i], fitnesses[i]));
}
return(offspring);
}