@Override
protected Individual select(EvolutionaryAlgorithm algorithm, List<Individual> individuals) {
double random;
double acum;
int n = individuals.size();
double min = 2 - this.max;
double range = this.max - min;
Individual individual;
int i;
// Se ordena la lista de individuos según el comparador en orden inverso:
Collections.sort(individuals, algorithm.getComparator());
Collections.reverse(individuals);
// Ahora la posicion en la lista de cada individuo indica su rank:
random = EAFRandom.nextDouble();
acum = 0.0;
i = 0;
do {
i++;
acum += (1.0 / n) * (this.max - range * ((double) (i - 1.0) / (double) (n - 1.0)));
} while (acum < random);
individual = individuals.get(--i);
return (Individual) individual.clone();
}
@Override
public void update(Observable o, Object arg) {
EvolutionaryAlgorithm algorithm = (EvolutionaryAlgorithm) o;
BestIndividualSpecification bestSpec = new BestIndividualSpecification();
Individual best;
super.update(o, arg);
if (algorithm.getState() == EvolutionaryAlgorithm.REPLACE_STATE && arg == null) {
best = algorithm.getBestEverIndividual();
super.getLog()
.println(
algorithm.getGenerations()
+ " - "
+ best.getFitness()
+ " - "
+ FitnessUtil.meanFitnessValue(algorithm.getPopulation().getIndividuals()));
}
}