public Chromosome Mutate(Chromosome chromosome, Bounds bounds)
{
Vector vector = new Vector(bounds.Lower.NRows);
for (int i = 0; i < vector.NRows; i++)
{
vector[i] = GeneticAlgorithm.Random.NextDouble()*(bounds.Upper[i] - bounds.Lower[i]) + bounds.Lower[i];
}
return new Chromosome(vector);
}
public Chromosome Cross(Chromosome chromosome1, Chromosome chromosome2, Bounds bounds)
{
int nRows = chromosome1.Vector.NRows;
Vector vector = new Vector(nRows);
for (int i = 0; i < nRows; i++)
{
double num = Math.Min(chromosome1.Vector[i], chromosome2.Vector[i]);
double expr_55 = Math.Max(chromosome1.Vector[i], chromosome2.Vector[i]);
double num2 = (expr_55 - num)*this.Alpha;
double num3 = Math.Max(num - num2, bounds.Lower[i]);
double num4 = Math.Min(expr_55 + num2, bounds.Upper[i]);
double num5 = GeneticAlgorithm.Random.NextDouble();
vector[i] = num5*(num4 - num3) + num3;
if (this.IsPorfolioOptimization)
{
if (num5 < 0.1)
{
vector[i] = bounds.Lower[i];
}
else if (num5 < 0.2)
{
vector[i] = bounds.Upper[i];
}
}
}
return new Chromosome(vector);
}