Examples of BasicPopulation

Examples of org.encog.ml.ea.population.BasicPopulation

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  public MLMethodGeneticAlgorithm(final MethodFactory phenotypeFactory,
      final CalculateScore calculateScore, final int populationSize) {
    super(TrainingImplementationType.Iterative);

    // Create the population
    final Population population = new BasicPopulation(populationSize, null);
    final Species defaultSpecies = population.createSpecies();

    for (int i = 0; i < population.getPopulationSize(); i++) {
      final MLEncodable chromosomeNetwork = (MLEncodable) phenotypeFactory
          .factor();
      final MLMethodGenome genome = new MLMethodGenome(chromosomeNetwork);
      defaultSpecies.add(genome);
    }
    defaultSpecies.setLeader(defaultSpecies.getMembers().get(0));
   
    population.setGenomeFactory(new MLMethodGenomeFactory(phenotypeFactory,
        population));
   
    // create the trainer
    this.genetic = new MLMethodGeneticAlgorithmHelper(population,
        calculateScore);
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Examples of org.encog.ml.genetic.population.BasicPopulation

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      final int populationSize, final double mutationPercent,
      final double percentToMate) {
    super(TrainingImplementationType.Iterative);
    this.genetic = new NeuralGeneticAlgorithmHelper();
    this.genetic.setCalculateScore(new GeneticScoreAdapter(calculateScore));
    final Population population = new BasicPopulation(populationSize);
    getGenetic().setMutationPercent(mutationPercent);
    getGenetic().setMatingPopulation(percentToMate * 2);
    getGenetic().setPercentToMate(percentToMate);
    getGenetic().setCrossover(
        new Splice(network.getStructure().calculateSize() / 3));
    getGenetic().setMutate(new MutatePerturb(4.0));
    getGenetic().setPopulation(population);
    for (int i = 0; i < population.getPopulationSize(); i++) {
      final BasicNetwork chromosomeNetwork = (BasicNetwork) network
          .clone();
      randomizer.randomize(chromosomeNetwork);

      final NeuralGenome genome = new NeuralGenome(chromosomeNetwork);
      genome.setGeneticAlgorithm(getGenetic());
      getGenetic().calculateScore(genome);
      getGenetic().getPopulation().add(genome);
    }
    population.sort();
  }
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Examples of org.encog.ml.genetic.population.BasicPopulation

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  private void initPopulation(GeneticAlgorithm ga)
  {
    CalculateGenomeScore score =  new TSPScore(cities);
    ga.setCalculateScore(score);
    Population population = new BasicPopulation(POPULATION_SIZE);
    ga.setPopulation(population);

    for (int i = 0; i < POPULATION_SIZE; i++) {

      final TSPGenome genome = new TSPGenome(ga, cities);
      ga.getPopulation().add(genome);
      ga.calculateScore(genome);
    }
    population.claim(ga);
    population.sort();
  }
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Examples of org.encog.ml.genetic.population.BasicPopulation

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  private static void initPopulation(GeneticAlgorithm ga)
  {
    ScorePlayer score =  new ScorePlayer();
    ga.setCalculateScore(score);
    Population population = new BasicPopulation(POPULATION_SIZE);
    ga.setPopulation(population);

    for (int i = 0; i < POPULATION_SIZE; i++) {

      Player player = new Player(1000);
      player.randomize();
      final PlayerGenome genome = new PlayerGenome(ga, player);
      ga.getPopulation().add(genome);
      ga.calculateScore(genome);
    }
    population.sort();
  }
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