public override void ApplyMutationOpr(Chromosome.Chromosome chromosome)
{
double minGeneVal, maxGeneVal; //minimum ans maximum values for a gene
double geneVal; //for storing gene value of the chromosome
double delta;
double randomNo;
double value, deltaq;
double tempGene;
int polynomialOrder = gaParameters.MutationPolynomialOrder;
for (int i = 0; i < Template.DesignVariables.Count; i++)
{
geneVal = chromosome[i];
// Flip a biased coin with mutation probability
if (GARandom.Flip(gaParameters.MutationProbability))
{
minGeneVal = Template.DesignVariables[i].LowerBound;
maxGeneVal = Template.DesignVariables[i].UpperBound;
if ((geneVal - minGeneVal) < (maxGeneVal - geneVal)) //if gene value is closer to the minimum gene value, then computing slope with gene value and minimum gene value
{
delta = (geneVal - minGeneVal) / (maxGeneVal - minGeneVal);
}
else //if gene value is closer to the maximum gene value (or in middle), then computing the slope with gene value and maximum gene value
{
delta = (maxGeneVal - geneVal) / (maxGeneVal - minGeneVal);
}
randomNo = GARandom.random01();
if (randomNo <= 0.5)
{
value = 2.0 * randomNo + (1.0 - 2.0 * randomNo) * Math.Pow(1.0 - delta, (double)(polynomialOrder + 1));
deltaq = Math.Pow(value, 1.0 / ((double)(polynomialOrder + 1))) - 1.0;
}
else
{
value = 2.0 * (1.0 - randomNo) + 2.0 * (randomNo - 0.5) * Math.Pow(1.0 - delta, (double)(polynomialOrder + 1));
deltaq = 1.0 - Math.Pow(value, 1.0 / ((double)(polynomialOrder + 1)));
}
tempGene = geneVal + (maxGeneVal - minGeneVal) * deltaq;
if (Template.DesignVariables[i].Type == DesignVariableType.Integer)
{
tempGene = Math.Round(tempGene);
}
if (tempGene < minGeneVal)
{
tempGene = minGeneVal;
}
else if (tempGene > maxGeneVal)
{
tempGene = maxGeneVal;
}
chromosome[i] = tempGene;
}
}
}
public override void ApplyCrossoverOpr(Chromosome.Chromosome chromosome1, Chromosome.Chromosome chromosome2)
{
int crossoverPoint = GARandom.BoundedRandomInteger(0, Template.DesignVariables.Count - 1);
for (int i = 0; i <= crossoverPoint; i++)
{
double tempGene = chromosome1[i];
chromosome1[i] = chromosome2[i];
chromosome2[i] = tempGene;
}
}
public override void ApplyMutationOpr(Chromosome.Chromosome chromosome)
{
int mutationPosition = GARandom.BoundedRandomInteger(0, Template.DesignVariables.Count);
double gene = 0;
if (Template.DesignVariables[mutationPosition].Type == DesignVariableType.Integer)
{
gene = GARandom.BoundedRandomInteger((int)Template.DesignVariables[mutationPosition].LowerBound, (int)Template.DesignVariables[mutationPosition].UpperBound);
}
else if (Template.DesignVariables[mutationPosition].Type == DesignVariableType.Double)
{
gene = GARandom.BoundedRandomDouble(Template.DesignVariables[mutationPosition].LowerBound, Template.DesignVariables[mutationPosition].UpperBound);
}
else
{
//System.out.println("Invalid Design Variable Type");
//System.exit(1);
}
chromosome[mutationPosition] = gene;
}
public override void ApplyCrossoverOpr(Chromosome.Chromosome chromosome1, Chromosome.Chromosome chromosome2)
{
double minGene, maxGene;
double gene1, gene2;
double beta, betaq;
double alpha;
double tempGene;
//***********************************need to delete, just for comparison***********************************
var c1 = new Chromosome.MultiObjectiveChromosome(Template, gaParameters, false);
var c2 = new Chromosome.MultiObjectiveChromosome(Template, gaParameters, false);
//***********************************need to delete, just for comparison***********************************
if (GARandom.Flip(gaParameters.CrossoverProbability))
{
for (int i = 0; i < Template.DesignVariables.Count; i++)
{
if (GARandom.Flip(genewiseSwapProb) && Math.Abs(chromosome1[i] - chromosome2[i]) >= 1.0E-10)
{
minGene = Template.DesignVariables[i].LowerBound;
maxGene = Template.DesignVariables[i].UpperBound;
if (chromosome2[i] > chromosome1[i])
{
gene1 = chromosome1[i];
gene2 = chromosome2[i];
}
else
{
gene1 = chromosome2[i];
gene2 = chromosome1[i];
}
if ((gene1 - minGene) > (maxGene - gene2))
{
beta = (gene2 - gene1) / (2.0 * maxGene - gene2 - gene1);
}
else
{
beta = (gene2 - gene1) / (gene2 + gene1 - 2.0 * minGene);
}
alpha = GARandom.random01() * (2.0 - Math.Pow(beta, (polynomialOrder + 1)));
if (alpha <= 1.0)
{
betaq = Math.Pow(alpha, 1.0 / ((double)(polynomialOrder + 1)));
}
else
{
betaq = Math.Pow(1.0 / (2.0 - alpha), 1.0 / ((double)(polynomialOrder + 1)));
}
tempGene = 0.5 * ((gene1 + gene2) - betaq * (gene2 - gene1));
if (Template.DesignVariables[i].Type == DesignVariableType.Integer)
{
tempGene = (int)(tempGene + 0.5);
}
chromosome1[i] = tempGene;
tempGene = 0.5 * ((gene1 + gene2) + betaq * (gene2 - gene1));
if (Template.DesignVariables[i].Type == DesignVariableType.Integer)
{
tempGene = (int)(tempGene + 0.5);
}
chromosome2[i] = tempGene;
}
}
}
}
public abstract void ApplyCrossoverOpr(Chromosome.Chromosome chromosome1, Chromosome.Chromosome chromosome2);
public abstract void ApplyMutationOpr(Chromosome.Chromosome chromosome);
