Examples of org.jgap.Chromosome

org.jgap.Chromosome

Chromosomes represent potential solutions and consist of a fixed-length collection of genes. Each gene represents a discrete part of the solution. Each gene in the Chromosome may be backed by a different concrete implementation of the Gene interface, but all genes in a respective position (locus) must share the same concrete implementation across Chromosomes within a single population (genotype). In other words, gene 1 in a chromosome must share the same concrete implementation as gene 1 in all other chromosomes in the population. @author Neil Rotstan @author Klaus Meffert @since 1.0

    conf.setSelectFromPrevGen(1);
    conf.setPreservFittestIndividual(false);
    conf.setAlwaysCaculateFitness(false);
    conf.setKeepPopulationSizeConstant(false);
    Gene[] initialGenes = importInitialGenes(conf);
    Chromosome c = new Chromosome(conf, initialGenes);
    conf.setSampleChromosome(c);
    return conf;
  }

    });
    for (EcBuildOrder bo : history)
    {
      try
      {
        Chromosome c = buildChromosome(conf, bo);
        logger.fine(myFunc.getFitnessValue(c) + "");
        population.getPopulation().setChromosome(cindex++, c);
      }
      catch (InvalidConfigurationException e)
      {

    {
      IntegerGene g = new IntegerGene(conf, 0, requiredActions.size() - 1);
      g.setAllele(0);
      genes.add(g);
    }
    Chromosome c = new Chromosome(conf);
    c.setGenes(genes.toArray(new Gene[genes.size()]));
    c.setIsSelectedForNextGeneration(true);
    return c;
  }

    gaConf.setPreservFittestIndividual(true);


                
    GeneFactory gf = new GeneFactory(geneType, in.getSize());
    
    IChromosome sampleChromosome = new Chromosome(gaConf, gf.getInstance(gaConf),
          chromesize);
    
                
    gaConf.setSampleChromosome(sampleChromosome);
    gaConf.setPopulationSize(popsize);

Examples of org.jgap.Chromosome

Related Classes of org.jgap.Chromosome