public void Recombinate()
{
IndividualEvaluations evaluations = new IndividualEvaluations();
Random random = new Random();
_populationAfterCrossing = new Population();
for (var i = 0; i < _matingPool.Size() / 2; i++)
{
var chosenIndividual1 = random.Next(_matingPool.Size());
var chosenIndividual2 = random.Next(_matingPool.Size());
var newIndividuals = evaluations.Cross(_matingPool.GetIndividual(chosenIndividual1), _matingPool.GetIndividual(chosenIndividual2));
var tempCrsProb = random.NextDouble();
if (tempCrsProb < _crossingProbability)
{
_populationAfterCrossing.Add(newIndividuals[0]);
_populationAfterCrossing.Add(newIndividuals[1]);
}
else
{
_populationAfterCrossing.Add(_matingPool.GetIndividual(chosenIndividual1));
_populationAfterCrossing.Add(_matingPool.GetIndividual(chosenIndividual2));
}
}
}
public void Mutation()
{
IndividualEvaluations evaluations = new IndividualEvaluations();
_populationAfterMutation = new Population();
_populationAfterCrossing.GenerateProbabilities();
for (var i = 0; i < _populationAfterCrossing.Size(); i++)
{
_populationAfterMutation.Add(
_populationAfterCrossing.GetIndividual(i).GetMutationProbability() < _mutationProbability
? evaluations.Mutate(_populationAfterCrossing.GetIndividual(i))
: _populationAfterCrossing.GetIndividual(i));
_populationAfterMutation.GetIndividual(i).Calculate(_function1, _function2);
}
}
