private void BinaryCrossover(BinaryGene gene1, BinaryGene gene2, out Gene child1, out Gene child2)
{
int crossPoint = _randomSeed.Next(gene1.GeneValue.Length);
bool[] a = new bool[gene1.GeneValue.Length];
bool[] b = new bool[gene1.GeneValue.Length];
do
{
for (int i = 0; i < crossPoint; i++)
{
a[i] = gene1.GeneValue[i];
b[i] = gene2.GeneValue[i];
}
for (int i = crossPoint; i < gene1.GeneValue.Length; i++)
{
a[i] = gene2.GeneValue[i];
b[i] = gene1.GeneValue[i];
}
} while (!GeneConstraint.ConstraintFunction(a) || !GeneConstraint.ConstraintFunction(b));
child1 = new BinaryGene(a, _randomSeed, gene1.GeneConstraint);
child2 = new BinaryGene(b, _randomSeed, gene2.GeneConstraint);
}
private void SimulatedBinaryCrossover(RealCodedGene g1, RealCodedGene g2, out Gene child1, out Gene child2)
{
//n_c is a parameter that controls the crossover process. A high value of the parameter will create near-parent solution
const double n_c = .05;
double a, b;
do
{
double random = _randomSeed.NextDouble();
double beta = (random < 0.5)
? Math.Pow((2 * random), (1 / (n_c + 1)))
: Math.Pow(1 / (2 * (1 - random)), (1 / (n_c + 1)));
var x_i1 = g1.GeneValue;
var x_i2 = g2.GeneValue;
a = 0.5 * ((1 + beta) * x_i1 + (1 - beta) * x_i2);
b = 0.5 * ((1 - beta) * x_i1 + (1 + beta) * x_i2);
} while (!GeneConstraint.ConstraintFunction(a) || !GeneConstraint.ConstraintFunction(b));
child1 = new RealCodedGene(g1.GeneValue, _randomSeed, g1.GeneConstraint);
child2 = new RealCodedGene(g1.GeneValue, _randomSeed, g2.GeneConstraint);
}
public abstract void Crossover(Gene gene2, out Gene child1, out Gene child2);
private void SimulatedBinaryCrossover(RealCodedGene g1, RealCodedGene g2, out Gene child1, out Gene child2)
{
//n_c is a parameter that controls the crossover process. A high value of the parameter will create near-parent solution
const double n_c = .05;
double a, b;
do
{
double random = _randomSeed.NextDouble();
double beta = (random < 0.5)
? Math.Pow((2 * random), (1 / (n_c + 1)))
: Math.Pow(1 / (2 * (1 - random)), (1 / (n_c + 1)));
var x_i1 = g1.GeneValue;
var x_i2 = g2.GeneValue;
a = 0.5 * ((1 + beta) * x_i1 + (1 - beta) * x_i2);
b = 0.5 * ((1 - beta) * x_i1 + (1 + beta) * x_i2);
} while (!GeneConstraint.ConstraintFunction(a) || !GeneConstraint.ConstraintFunction(b));
child1 = new RealCodedGene(g1.GeneValue, _randomSeed, g1.GeneConstraint);
child2 = new RealCodedGene(g1.GeneValue, _randomSeed, g2.GeneConstraint);
}
public override void Crossover(Gene gene2, out Gene child1, out Gene child2)
{
SimulatedBinaryCrossover(this, (RealCodedGene)gene2, out child1, out child2);
}
public override void Crossover(Gene gene2, out Gene child1, out Gene child2)
{
SimulatedBinaryCrossover(this, (RealCodedGene)gene2, out child1, out child2);
}
private void BinaryCrossover(BinaryGene gene1, BinaryGene gene2, out Gene child1, out Gene child2)
{
int crossPoint = _randomSeed.Next(gene1.GeneValue.Length);
bool[] a = new bool[gene1.GeneValue.Length];
bool[] b = new bool[gene1.GeneValue.Length];
do
{
for (int i = 0; i < crossPoint; i++)
{
a[i] = gene1.GeneValue[i];
b[i] = gene2.GeneValue[i];
}
for (int i = crossPoint; i < gene1.GeneValue.Length; i++)
{
a[i] = gene2.GeneValue[i];
b[i] = gene1.GeneValue[i];
}
} while (!GeneConstraint.ConstraintFunction(a) || !GeneConstraint.ConstraintFunction(b));
child1 = new BinaryGene(a, _randomSeed, gene1.GeneConstraint);
child2 = new BinaryGene(b, _randomSeed, gene2.GeneConstraint);
}
public override void Crossover(Gene gene2, out Gene child1, out Gene child2)
{
BinaryCrossover(this, (BinaryGene)gene2, out child1, out child2);
}
public override void Crossover(Gene gene2, out Gene child1, out Gene child2)
{
BinaryCrossover(this, (BinaryGene)gene2, out child1, out child2);
}
public abstract void Crossover(Gene gene2, out Gene child1, out Gene child2);