private Individual ChooseRandomLINQ()
{
double r = random.NextDouble();
var set = Individuals.OrderBy(x => r);
Individual selected = set.SkipWhile(x => x.Probality > r).FirstOrDefault();
return((selected != null) ? selected : set.First());
}
private void AddEliteFromPreviousGeneration(List <Individual> elitisms)
{
if (Elitism > 0)
{
var worstIndividuals = Individuals.OrderBy(s => s.Fitness).Take(Elitism).ToList();
for (var i = 0; i < elitisms.Count; i++)
{
var index = Individuals.IndexOf(Individuals.Where(s => s.Fitness == worstIndividuals[i].Fitness).FirstOrDefault());
Individuals[index] = elitisms[i];
}
}
}
/// <summary>
/// Returns a genome from the individual in this generation with the lowest number of completed matches.
/// </summary>
/// <returns>genome of a competetor from this generation</returns>
public string PickCompetitor()
{
List <Individual> validCompetitors = Individuals
.OrderBy(i => i.MatchesPlayed)
.ThenBy(i => _rng.NextDouble())
.ToList();
var best = validCompetitors.FirstOrDefault();
//Debug.Log("Picked Individual has played " + best.MatchesPlayed);
if (best != null)
{
return(best.Genome);
}
return(null);
}
private Individual SelectIndividualByTournament()
{
var set = Individuals.OrderBy(x => random.NextDouble());
Individual[] competitors = set.Take(tournamentGroupSize).ToArray();
Individual winner = competitors[0];
for (int i = 1; i < competitors.Length; i++)
{
if (winner.Fitness < competitors[i].Fitness)
{
winner = competitors[i];
}
}
return(winner);
}
