//Evolve population
public static Population evolvePopulation(Population pop)
{
Population newPopulation = new Population(pop.size(), false);
//keep your best individual
if (Elitism)
{
newPopulation.saveIndividual(0, pop.getFittest());
}
//Crossover population
int elitismOffset;
if (Elitism)
{
elitismOffset = 1;
}
else
{
elitismOffset = 0;
}
//loop over tje population size and create new individuals with crossover
for (int i = elitismOffset; i < pop.size(); i++)
{
Individual indiv1 = tournamentSelection(pop);
Individual indiv2 = tournamentSelection(pop);
Individual newIndiv = crossover(indiv1, indiv2);
newPopulation.saveIndividual(i, newIndiv);
}
//Mutate population
for (int i = elitismOffset; i < newPopulation.size(); i++)
{
mutate(newPopulation.getIndividual(i));
}
return(newPopulation);
}
// Select individuals for crossover
private static Individual tournamentSelection(Population pop)
{
// Create a tournament population
Population tournament = new Population(TournamentSize, false);
// For each place in the tournament get a random individual
for (int i = 0; i < TournamentSize; i++)
{
int randomId = (int)(Rnd.NextDouble() * pop.size());
tournament.saveIndividual(i, pop.getIndividual(randomId));
}
// Get the fittest
Individual fittest = tournament.getFittest();
return(fittest);
}
//Evolve population
public static Population evolvePopulation(Population pop)
{
Population newPopulation = new Population(pop.size(), false);
//keep your best individual
if (Elitism) {
newPopulation.saveIndividual(0, pop.getFittest());
}
//Crossover population
int elitismOffset;
if (Elitism) {
elitismOffset = 1;
} else {
elitismOffset = 0;
}
//loop over tje population size and create new individuals with crossover
for(int i = elitismOffset; i<pop.size();i++) {
Individual indiv1 = tournamentSelection(pop);
Individual indiv2 = tournamentSelection(pop);
Individual newIndiv = crossover(indiv1, indiv2);
newPopulation.saveIndividual(i, newIndiv);
}
//Mutate population
for (int i=elitismOffset; i<newPopulation.size();i++) {
mutate(newPopulation.getIndividual(i));
}
return newPopulation;
}
// Select individuals for crossover
private static Individual tournamentSelection(Population pop)
{
// Create a tournament population
Population tournament = new Population(TournamentSize, false);
// For each place in the tournament get a random individual
for (int i = 0; i < TournamentSize; i++) {
int randomId = (int)(Rnd.NextDouble() * pop.size());
tournament.saveIndividual(i, pop.getIndividual(randomId));
}
// Get the fittest
Individual fittest = tournament.getFittest();
return fittest;
}