public override GenericIndividual <float, double> Crossover(GenericIndividual <float, double> o, Random rand, float a)
{
Individual child = new Individual(Utils.ArrayToIntTree <float>(Genes));
//child.Genes = Genes.Zip(o.Genes, (a, b) => a.Zip(b,(x,y)=> (x+y)*0.5f).ToArray() ).ToArray();
for (int i = 0; i < Genes.Length; i++)
{
for (int j = 0; j < Genes[i].Length; j++)
{
//float diff = Math.Abs(Genes[i][j] - o.Genes[i][j]);
//float m;
//if (rand.NextDouble()<0.8)
//{
// m = (rand.NextDouble() < 0.55) ? Genes[i][j] : o.Genes[i][j];
//}
//else
//{
// m = Lerp(Genes[i][j], o.Genes[i][j], (float)rand.NextDouble());
//}
//child.Genes[i][j] = m;
//float perc = (rand.NextDouble() < 0.55) ? .75f : 0.25f;
// float perc = (i % 3 == 0) ? 0.15f : .85f;
//child.Genes[i][j] = (rand.NextDouble() < 0.5) ? Genes[i][j] : (rand.Next()<0.5) ? Lerp(o.Genes[i][j], Genes[i][j], 0.5f) : o.Genes[i][j];
//child.Genes[i][j] = Lerp(o.Genes[i][j], Genes[i][j], (float)rand.NextDouble());
//Lerp(o.Genes[i][j], Genes[i][j], perc);
//child.Genes[i][j] = Lerp(Genes[i][j] - a*(o.Genes[i][j] - Genes[i][j]),o.Genes[i][j] + a*(o.Genes[i][j] - Genes[i][j]),(float)rand.NextDouble());
float x1 = Genes[i][j],
x2 = o.Genes[i][j];
a = rand.Next(0, 100) * 0.01f;
//if (o.Genes[i][j] > Genes[i][j])
//{
// x2 = o.Genes[i][j];
// x1 = Genes[i][j];
//}
//else
//{
// x1 = o.Genes[i][j];
// x2 = Genes[i][j];
//}
child.Genes[i][j] = Lerp(x1 - a * (x2 - x1), x2 + a * (x2 - x1), (float)rand.NextDouble());
}
}
return(child);
}
public Individual(GenericIndividual <float, double> parent)
{
Genes = parent.Genes;
Fitness = parent.Fitness;
}
public abstract GenericIndividual<T, X> Crossover(GenericIndividual<T, X> o,Random rand,float a);
