org.jaga.fitnessEvaluation.multiplexer
Class MultiplexerFitness

java.lang.Object
  org.jaga.fitnessEvaluation.multiplexer.MultiplexerFitness

All Implemented Interfaces:

FitnessEvaluationAlgorithm

public class MultiplexerFitness

extends java.lang.Object

implements FitnessEvaluationAlgorithm

TODO: Complete these comments.

Project: JAGA - Java API for Genetic Algorithms.

Company: University College London and JAGA.Org (http://www.jaga.org).

Copyright: (c) 2004 by G. Paperin.
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, ONLY if you include a note of the original author(s) in any redistributed/modified copy.
This program 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 General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA or see http://www.gnu.org/licenses/gpl.html

Version:

JAGA public release 1.0 beta

Author:

Greg Paperin (greg@jaga.org)

Nested Class Summary

private class

MultiplexerFitness.TestEntry

Field Summary

private double	pressForShortResultFactor
private MultiplexerFitness.TestEntry[]	tests

Constructor Summary

MultiplexerFitness()

MultiplexerFitness(double pressForShortFactor)

MultiplexerFitness(Multiplexer referenceMultiplexer)

MultiplexerFitness(Multiplexer referenceMultiplexer, double pressForShortFactor)

Method Summary

Fitness	evaluateFitness(Individual individual, int age, Population population, GAParameterSet params) Evaluates the fitness of a spscified individual.
java.lang.Class	getApplicableClass() Returns the class of individuals handled by this selection algorithm.
double	getPressForShortFactor()
private void	initTests(Multiplexer referenceMultiplexer)
void	setPressForShortFactor(double pressForShortFactor)

Methods inherited from class java.lang.Object

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

Field Detail

tests

private MultiplexerFitness.TestEntry[] tests

pressForShortResultFactor

private double pressForShortResultFactor

Constructor Detail

MultiplexerFitness

public MultiplexerFitness()

MultiplexerFitness

public MultiplexerFitness(Multiplexer referenceMultiplexer)

MultiplexerFitness

public MultiplexerFitness(double pressForShortFactor)

MultiplexerFitness

public MultiplexerFitness(Multiplexer referenceMultiplexer,
                          double pressForShortFactor)

Method Detail

getApplicableClass

public java.lang.Class getApplicableClass()

Description copied from interface: FitnessEvaluationAlgorithm

Returns the class of individuals handled by this selection algorithm.

Specified by:

getApplicableClass in interface FitnessEvaluationAlgorithm

Returns:

The required type the individual passed to the method evaluateFitness.

getPressForShortFactor

public double getPressForShortFactor()

setPressForShortFactor

public void setPressForShortFactor(double pressForShortFactor)

initTests

private void initTests(Multiplexer referenceMultiplexer)

evaluateFitness

public Fitness evaluateFitness(Individual individual,
                               int age,
                               Population population,
                               GAParameterSet params)

Description copied from interface: FitnessEvaluationAlgorithm

Evaluates the fitness of a spscified individual.

Specified by:

evaluateFitness in interface FitnessEvaluationAlgorithm

Parameters:

individual - The Individual to be evaluated.

age - The generation of the individual and its population.

population - The population from which the individual was drawn.

params - The experiment-parameters

Returns:

The fitness of the specified individual