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java.lang.Objectorg.jaga.exampleApplications.Example2Fitness
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
| Constructor Summary | |
|---|---|
Example2Fitness()
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| 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 |
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public Example2Fitness()
| Method Detail |
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public java.lang.Class getApplicableClass()
FitnessEvaluationAlgorithm
getApplicableClass in interface FitnessEvaluationAlgorithmevaluateFitness.
public Fitness evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
FitnessEvaluationAlgorithm
evaluateFitness in interface FitnessEvaluationAlgorithmindividual - 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
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