jfinkels

List<MyIndividual> initialPopulation = new Vector<MyIndividual>();

// add initial random individuals to the initial population
//
// ...
//

EvolutionContext<MyIndividual> context = new GAEvolutionContext<MyIndividual>(initialPopulation);

context.setSelectionFunction(new FitnessProportionateSelection<MyIndividual>());

jfinkels

Factory<Byte> bitFactory = new BitFactory();
int length = 20;

Factory<DeepCopyableList<Byte>> individualFactory = new PartialDeepCopyableListFactory<Byte>();
individualFactory.setElementFactory(bitFactory);
individualFactory.setSize(length);

try {
  DeepCopyableList<Byte> individual = individualFactory.createObject();
} catch (InitializationException exception) {

jfinkels

int numberOfIndividuals = 100;

Factory<MyIndividual> individualFactory = new MyIndividualFactory();

DefaultListFactory<MyIndividual> populationFactory = new DefaultListFactory<MyIndividual>();
populationFactory.setSize(numberOfIndividuals);
populationFactory.setElementFactory(individualFactory);

List<MyIndividual> population = populationFactory.createObject();

jfinkels

public class OnesFitnessFunction extends MaximizingFitnessFunction<List<Byte>> {

  public OnesFitnessFunction(int length) {
    super(length);
  }

  @Override
  public double rawFitness(final List<Byte> individual) {
    int fitness = 0;
    for (Byte bit : individual) {

jfinkels

public class OnesMutationFunction extends ImmutableElementsListMutationFunction<Byte> {

  @Override
  protected Byte mutated(final Byte bit) {
    return (byte) (1 - bit);
  }
}

jfinkels

List<MyIndividual> initialPopulation = new Vector<MyIndividual>();

// add the initial individuals to the population
//
// ...
//

EvolutionContext<MyIndividual> context = new GAEvolutionContext<MyIndividual>(initialPopulation);

// set the necessary properties on the EvolutionContext

jfinkels

List<MyIndividual> population = new Vector<MyIndividual>();

// initialize the population with random individuals
//
// ...
//

GeneticEvolutionContext<MyIndividual> context = new GAEvolutionContext<MyIndividual>(population);
context.setCrossoverFunction(new MyCrossoverFunction());
context.setFitnessFunction(new MyFitnessFunction());

jfinkels

Factory<Byte> bitFactory = new BitFactory();
int length = 20;

PartialDeepCopyableListFactory<Byte> individualFactory = new PartialDeepCopyableListFactory<Byte>();
individualFactory.setElementFactory(bitFactory);
individualFactory.setSize(length);

int numberOfIndividuals = 100;

DefaultListFactory<DeepCopyableList<Byte>> populationFactory = new DefaultListFactory<DeepCopyableList<Byte>>();

jfinkels

    <repository>
      <id>jmona.repo</id>
      <name>jmona repository</name>
      <url>http://www.eecs.tufts.edu/~jfinke02/repo</url>
    </repository>

jfinkels

    <dependency>
      <groupId>jmona</groupId>
      <artifactId>jmona</artifactId>
      <version>0.4</version>
    </dependency>