@Override
public void update(Observable o, Object arg) {
ParallelEvolutionaryAlgorithm pea = (ParallelEvolutionaryAlgorithm) o;
if (pea.getCurrentObservable() instanceof EvolutionaryAlgorithm) {
super.update(o, arg);
EvolutionaryAlgorithm algorithm = (EvolutionaryAlgorithm) pea.getCurrentObservable();
BestIndividualSpecification bestSpec = new BestIndividualSpecification();
Individual best;
int algorithm_fes;
best =
IndividualsProductTrader.get(
bestSpec, algorithm.getPopulation().getIndividuals(), 1, pea.getComparator())
.get(0);
if (algorithm.getState() == EvolutionaryAlgorithm.REPLACE_STATE) {
algorithm_fes = algorithm.getFEs();
if (num_prints < this.fes_prints.size()
&& algorithm_fes >= Integer.parseInt((String) this.fes_prints.get(fes_index))) {
super.getLog().println(best);
this.fes_index++;
num_prints++;
}
}
if (algorithm.getState() == EvolutionaryAlgorithm.FINAL_STATE) {
while (num_prints < this.fes_prints.size()) {
super.getLog().println(best);
num_prints++;
}
}
}
}
@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()));
}
}