// Calculate inidividuals fittness by comparing it to our candidate solution
public static int getFitness(Individual individual)
{
int fitness = 0;
// Loop through our individuals genes and compare them to our cadidates
for (int i = 0; i < individual.size() && i < solution.Length; i++) {
if (individual.getGene(i) == solution[i]) {
fitness++;
}
}
return fitness;
}
// Calculate inidividuals fittness by comparing it to our candidate solution
public static int getFitness(Individual individual)
{
int fitness = 0;
// Loop through our individuals genes and compare them to our cadidates
for (int i = 0; i < individual.size() && i < solution.Length; i++)
{
if (individual.getGene(i) == solution[i])
{
fitness++;
}
}
return(fitness);
}
// Crossover individuals
private static Individual crossover(Individual indiv1, Individual indiv2)
{
Individual newSol = new Individual();
// Loop through genes
for (int i = 0; i < indiv1.size(); i++)
{
// Crossover
if (Rnd.NextDouble() <= UniformRate)
{
newSol.setGene(i, indiv1.getGene(i));
}
else
{
newSol.setGene(i, indiv2.getGene(i));
}
}
return(newSol);
}
// Crossover individuals
private static Individual crossover(Individual indiv1, Individual indiv2)
{
Individual newSol = new Individual();
// Loop through genes
for (int i = 0; i < indiv1.size(); i++) {
// Crossover
if (Rnd.NextDouble() <= UniformRate) {
newSol.setGene(i, indiv1.getGene(i));
} else {
newSol.setGene(i, indiv2.getGene(i));
}
}
return newSol;
}
