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org.jaga.fitnessEvaluation.largerNumbers
Class LargerDecimals

java.lang.Object
  extended by org.jaga.fitnessEvaluation.largerNumbers.LargerDecimals
All Implemented Interfaces:
FitnessEvaluationAlgorithm

public class LargerDecimals
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)

Constructor Summary
LargerDecimals()
           
 
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.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

LargerDecimals

public LargerDecimals()
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.

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

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