public override Chromosome ImplementationClone()
{
RealValuedChromosome chromosome = new RealValuedChromosome((double[])Values.Clone(), Min, Max, MutationSize);
chromosome.Fitness = Fitness;
return(chromosome);
}
public override Tuple <Chromosome, Chromosome> Crossover(Chromosome pair)
{
RealValuedChromosome p = (RealValuedChromosome)pair;
if (useOnePointCrossover)
{
return(OnePointCrossover(p));
}
else
{
return(BlendAlphaCrossover(p));
}
}
public override double Evaluate(Chromosome chromosome)
{
RealValuedChromosome _chromosome = (RealValuedChromosome)chromosome;
double sum = 0;
for (int i = 0; i < _chromosome.Values.Length; i++)
{
sum += Math.Pow(_chromosome.Values[i], 2);
}
return(sum);
}
public override double Evaluate(Chromosome chromosome)
{
RealValuedChromosome _chromosome = (RealValuedChromosome)chromosome;
double sum = 0;
double product = 1;
for (int i = 0; i < _chromosome.Values.Length; i++)
{
sum += _chromosome.Values[i] * _chromosome.Values[i];
product *= Math.Cos(_chromosome.Values[i] / Math.Sqrt(i + 1));
}
return(1 + sum / 4000 - product);
}
private Tuple <Chromosome, Chromosome> OnePointCrossover(RealValuedChromosome p)
{
int crossOverPoint = r.Next(Length);
List <double> firstChild = new List <double>();
List <double> secondChild = new List <double>();
firstChild.AddRange(Values.Take(crossOverPoint));
secondChild.AddRange(p.Values.Take(crossOverPoint));
firstChild.AddRange(p.Values.Skip(crossOverPoint));
secondChild.AddRange(Values.Skip(crossOverPoint));
RealValuedChromosome firstChildChromosome = new RealValuedChromosome(firstChild.ToArray(), Min, Max, MutationSize);
RealValuedChromosome secondChildChromosome = new RealValuedChromosome(secondChild.ToArray(), Min, Max, MutationSize);
return(new Tuple <Chromosome, Chromosome>(firstChildChromosome, secondChildChromosome));
}
private Tuple <Chromosome, Chromosome> BlendAlphaCrossover(RealValuedChromosome p)
{
List <double> firstChild = new List <double>();
List <double> secondChild = new List <double>();
for (int i = 0; i < Values.Length; i++)
{
double d = Math.Abs(Values[i] - p.Values[i]);
double min = Math.Min(Values[i], p.Values[i]);
double max = Math.Max(Values[i], p.Values[i]);
double u1 = RandomDoubleRange(min - alpha * d, max + alpha * d);
double u2 = RandomDoubleRange(min - alpha * d, max + alpha * d);
firstChild.Add(u1);
secondChild.Add(u2);
}
RealValuedChromosome firstChildChromosome = new RealValuedChromosome(firstChild.ToArray(), Min, Max, MutationSize);
RealValuedChromosome secondChildChromosome = new RealValuedChromosome(secondChild.ToArray(), Min, Max, MutationSize);
return(new Tuple <Chromosome, Chromosome>(firstChildChromosome, secondChildChromosome));
}
