GeneticAlgorithm

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jas.ai.ga
Class GeneticAlgorithm

java.lang.Object
  jas.ai.ga.GeneticAlgorithm

All Implemented Interfaces:: IDecoder

public class GeneticAlgorithm
extends java.lang.Object
implements IDecoder
extends java.lang.Object
implements IDecoder

A genetic algorithm evolver.

Title: JAS

Description: Java Agent-based Simulation library

This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.

Author:: Gianluigi Ferraris (original c code), Michele Sonnessa and Gianluigi Ferraris (java porting)

Field Summary
`static double`	`DEFAULT_CROSSOVER_RATE`
`static double`	`DEFAULT_MUTATION_RATE`
`static boolean`	`DEFAULT_NORMALIZE_FITNESS`
`static double`	`DEFAULT_TURNOVER_RATE`

Constructor Summary
`GeneticAlgorithm(int rulesNumber, int ruleLength)`
`GeneticAlgorithm(int rulesNumber, int ruleLength, double turnoverRate, double crossoverRate, double mutationRate, boolean normalizeFitness)`

Method Summary
`void`	`evolve()`
`boolean`	`getAutoEvolution()`
`GARule`	`getBestRule()`
`double`	`getConvergence()`
`double`	`getCrossoverRate()`
`int`	`getCrossovers()`
`double`	`getCurrentFitness()`
`GARule`	`getCurrentRule()`
`int`	`getEvolutions()`
`double`	`getMaxFitness()`
`double`	`getMeanFitness()`
`double`	`getMinFitness()`
`GARule`	`getMostDiffusedRule()`
`double`	`getMutationRate()`
`int`	`getMutations()`
`boolean`	`getNormalizeFitness()`
`double`	`getSumFitness()`
`double`	`getTurnoverRate()`
`GARule`	`getWorstRule()`
`void`	`learn()`
`void`	`setARule(GARule rule)`
`void`	`setAutoEvolution(boolean aE)`
`void`	`setCrossoverRate(double cR)`
`void`	`setMutationRate(double mR)`
`void`	`setNormalizeFitness(boolean nF)`
`void`	`setReward(double fV)`
`void`	`setReward(GARule rule, double fV)`
`void`	`setTurnoverRate(double tR)`
`void`	`setWorstRule(GARule rule)`
`GARule`	`step()`
`void`	`think()`
`java.lang.String`	`toString()`
`void`	`verify()`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Field Detail

DEFAULT_CROSSOVER_RATE

public static final double DEFAULT_CROSSOVER_RATE

See Also:: Constant Field Values

DEFAULT_MUTATION_RATE

public static final double DEFAULT_MUTATION_RATE

See Also:: Constant Field Values

DEFAULT_NORMALIZE_FITNESS

public static final boolean DEFAULT_NORMALIZE_FITNESS

See Also:: Constant Field Values

DEFAULT_TURNOVER_RATE

public static final double DEFAULT_TURNOVER_RATE

See Also:: Constant Field Values

Constructor Detail