de.htwdd.rosenkoenig.ga
Class GeneticRosenkoenig

java.lang.Object
  de.htwdd.ga.GeneticAlgorithm
      de.htwdd.rosenkoenig.ga.GeneticRosenkoenig

public class GeneticRosenkoenig
extends de.htwdd.ga.GeneticAlgorithm

This implementation of GeneticAlgorithm tries to determine an appropriate neural network for an artificial Rosenkoenig player.

Because of the time consuming fitness function, this Genetic Algorithm should be run on a multiprocessor machine. The algorithm runs for 200 cycles, after each cycle the current generation is written to a file. GeneticRosenkoenig uses TwoPointCrossover, RankingSelection and NetworkFitness.
Also some methods of GeneticAlgorithm have been overwritten to make the algorithm more "talkative". E.g. after each replacement, the fitness of the current population is written to the log.

See Also:

NeuroPlayer

Field Summary

static java.lang.String	FILE_PREFIX
static java.lang.String[]	FILENAMES
private org.apache.log4j.Logger	log
private static java.lang.String	POPULATION_FILE_PREFIX
private long	start
private long	stop

Fields inherited from class de.htwdd.ga.GeneticAlgorithm

children, chromosomeLength, crossoverMethod, cycle, initializationFunction, matingCandidates, maxCycles, multiThreaded, mutationRate, numThreads, population, populationSize, replacementStrategy, selectionStrategy, terminatonFitness

Constructor Summary

GeneticRosenkoenig(int chromosomeLength, int numCycles, int populationSize)
Creates a GeneticAlgorithm with the given parameters and a termination fitness of 0.98.

Method Summary

static void	main(java.lang.String[] args) Initializes and starts the Genetic Algorithm.
protected void	runReplacement()
protected void	runReproduction()
protected void	runSelection()

Methods inherited from class de.htwdd.ga.GeneticAlgorithm

calculateFitness, getBestFitness, getChildren, getChromosomeLength, getCrossoverMethod, getFitnessFunction, getInitializationFunction, getMaxCycles, getMutationRate, getPopulation, getPopulationSize, getReplacementStrategy, getSelectionStrategy, getTerminatonFitness, instantiateFitnessFunction, isMultiThreaded, run, setChromosomeLength, setCrossoverMethod, setFitnessFunction, setInitializationFunction, setMaxCycles, setMultiThreaded, setMutationRate, setPopulationSize, setReplacementStrategy, setSelectionStrategy, setTerminatonFitness

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

POPULATION_FILE_PREFIX

private static final java.lang.String POPULATION_FILE_PREFIX

See Also:

Constant Field Values

FILE_PREFIX

public static final java.lang.String FILE_PREFIX

See Also:

Constant Field Values

FILENAMES

public static final java.lang.String[] FILENAMES

log

private org.apache.log4j.Logger log

start

private long start

stop

private long stop

Constructor Detail

GeneticRosenkoenig

public GeneticRosenkoenig(int chromosomeLength,
                          int numCycles,
                          int populationSize)

Creates a GeneticAlgorithm with the given parameters and a termination fitness of 0.98.

Parameters:

chromosomeLength -

numCycles -

populationSize -

Method Detail

runSelection

protected void runSelection()

Overrides:

runSelection in class de.htwdd.ga.GeneticAlgorithm

runReproduction

protected void runReproduction()

Overrides:

runReproduction in class de.htwdd.ga.GeneticAlgorithm

runReplacement

protected void runReplacement()

Overrides:

runReplacement in class de.htwdd.ga.GeneticAlgorithm

main

public static void main(java.lang.String[] args)

Initializes and starts the Genetic Algorithm.

Parameters:

args - specify a filename to initialize with a population