/// <summary>
/// Selects a new solution for reproduction.
/// </summary>
/// <returns></returns>
public int Select(TProblem problem, TObjective objective, Individual <TSolution, TFitness>[] population, System.Collections.Generic.ISet <int> exclude)
{
var tournamentSizeInt = (int)System.Math.Ceiling(((_tournamentSize / 100f) * (double)population.Length));
var tempPop = new List <Tuple <int, Individual <TSolution, TFitness> > >(tournamentSizeInt);
while (tempPop.Count < tournamentSizeInt)
{ // keep looping until enough individuals are selected or until no more are available.
var idx = _random.Generate(population.Length);
if (exclude == null || !exclude.Contains(idx))
{ // do not tournament excluded solutions.
tempPop.Add(new Tuple <int, Individual <TSolution, TFitness> >(idx, population[idx]));
}
}
// sort the population..
tempPop.Sort((x, y) =>
{
return(objective.CompareTo(problem, y.Item2.Fitness, x.Item2.Fitness));
});
// choose a candidate.
for (var idx = 0; idx < tempPop.Count; idx++)
{ // choose a candidate.
if (_random.Generate(1.0f) < _tournamentProbability)
{ // candidate choosen!
return(tempPop[idx].Item1);
}
}
return(-1);
}
public bool Has(string arg)
{
return(argsFound.Contains(arg));
}
