public Genotype Copy()
{
var copyGenotype = new Genotype(this.Length, this.EvolutionStrategy);
copyGenotype.Genes = this.Genes;
return(copyGenotype);
}
/// <summary>
/// Tutaj modyfikujemy geny rodzicielskich chromosomów
/// </summary>
/// <param name="parent2"></param>
/// <param name="parent2"></param>
/// <returns>2 child array</returns>
public static Genotype[] Crossover(Genotype parent1, Genotype parent2)
{
if (parent1.Length != parent2.Length) throw new Exception("Nie można krzyżować osobników z różną długością!");
var rnd = parent1.EvolutionStrategy.Random.NextDouble();//zmienna losowa z zakresu 0..1
var length = parent1.Length;
var child1 = new Genotype(length, parent1.EvolutionStrategy);
var child2 = new Genotype(length, parent1.EvolutionStrategy);
for (int i = 0; i < length; i++)
{
child1.Genes[i] = parent1.Genes[i] + rnd * (parent2.Genes[i] - parent1.Genes[i]);
child2.Genes[i] = parent2.Genes[i] + parent1.Genes[i] - child1.Genes[i];
}
return new Genotype[2] { child1, child2 };
}
/// <summary>
/// Metoda krzyzuje dwa losowo wybrane osobniki, ktore staja sie rodzicami.
/// I uzupelnia generacje potomkow dokladnie dwoma nowymi osobnikami.
/// </summary>
public void Crossover()
{
var lambda = LambdaPopulationSize;
for (int i = 0; i < lambda; i += 2)
{
if (this.Random.NextDouble() < CrossoverRate)
{
ResultGeneration.AddRange(
Genotype.Crossover(
NextGeneration[Random.Next(lambda)],
NextGeneration[Random.Next(lambda)]
)
);
}
}
}
/// <summary>
/// Tutaj modyfikujemy geny rodzicielskich chromosomów
/// </summary>
/// <param name="parent2"></param>
/// <param name="parent2"></param>
/// <returns>2 child array</returns>
public static Genotype[] Crossover(Genotype parent1, Genotype parent2)
{
if (parent1.Length != parent2.Length)
{
throw new Exception("Nie można krzyżować osobników z różną długością!");
}
var rnd = parent1.EvolutionStrategy.Random.NextDouble();//zmienna losowa z zakresu 0..1
var length = parent1.Length;
var child1 = new Genotype(length, parent1.EvolutionStrategy);
var child2 = new Genotype(length, parent1.EvolutionStrategy);
for (int i = 0; i < length; i++)
{
child1.Genes[i] = parent1.Genes[i] + rnd * (parent2.Genes[i] - parent1.Genes[i]);
child2.Genes[i] = parent2.Genes[i] + parent1.Genes[i] - child1.Genes[i];
}
return(new Genotype[2] {
child1, child2
});
}
public Genotype Copy()
{
var copyGenotype = new Genotype(this.Length, this.EvolutionStrategy);
copyGenotype.Genes = this.Genes;
return copyGenotype;
}
