static void Main(string[] args)
{
Population populacja = new Population(5, 6, n => n * n, new Random());
int ilosc = 5;//ilosc pokoleń
for (int i = 0; i < ilosc; i++)
{
for (int j = 0; j <= 2; i++)
{
foreach (var z in populacja.Individuals)
{
foreach (var x in populacja.Individuals)
{
var crossoverOperator = new OnePointCrossover(new Random());
crossoverOperator.Crossover(z, x);
}
}
}
var lambda = new OnePointCrossover(new Random());
var pokolenie = lambda.IndividualsLambda;
foreach (var y in pokolenie)
{
populacja.Individuals.Add(y);
}
var top = populacja.Individuals.OrderByDescending(x => x.Fitness).Take(5);
populacja = null;
populacja.Individuals.Add(top);
}
}
public Population RouletteSelection()
{
var result = new Population(Individuals.Count, Individuals.First().Chromosome.Genes.Count, _fitnessFunction, _random);
UpdateFitness();
var sumOfFitness = Individuals.Sum(x => x.Fitness);
var probabilities = Individuals.Select(x => x.Fitness / sumOfFitness);
var distribution = new List<double>(probabilities);
for (int i = 1; i < distribution.Count; i++)
{
distribution[i] += distribution[i - 1];
}
// TODO: parents selection
return result;
}
public void Generationv2(Population fresh)
{
}
static void Main(string[] args)
{
Population populacja = new Population(5, 3, n => n+n, new Random());
}
