private void run() {
for (int i = 0; i < 50; i++) {
System.out.println("Generation " + i);
evaluator.evaluate(population);
population.applySelector(eliteSelector);
population.applyCrossover(quantileSelector);
population.applyMutation(quantileSelector);
population.nextGen();
}
List<ParametersIndividual> fittest = population.getFittest(10);
for (ParametersIndividual p : fittest) {
System.out.println(p);
}
}
private void setUp() {
evaluator = new EloEvaluator();
population = Population.generateRandom(ParametersIndividual.GENERATOR, 100);
quantileSelector = new QuantileSelector<>(0.2); // mutation and crossover rate at 20%
eliteSelector = new EliteSelector<>(70);
}
