Source Code Cross Referenced for GeneticOperator.java in  » Development » jgap » org » jgap » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Development » jgap » org.jgap 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


01:        /*
02:         * This file is part of JGAP.
03:         *
04:         * JGAP offers a dual license model containing the LGPL as well as the MPL.
05:         *
06:         * For licensing information please see the file license.txt included with JGAP
07:         * or have a look at the top of class org.jgap.Chromosome which representatively
08:         * includes the JGAP license policy applicable for any file delivered with JGAP.
09:         */
10:        package org.jgap;
11:
12:        import java.io.*;
13:        import java.util.*;
14:
15:        /**
16:         * A GeneticOperator represents an operation that takes place on
17:         * a population of Chromosomes during the evolution process. Examples
18:         * of genetic operators include reproduction, crossover, and mutation.
19:         * This interface contains only one method - operate() - which is responsible
20:         * for performing the genetic operation on the current population of
21:         * Chromosomes.
22:         *
23:         * @author Neil Rotstan
24:         * @author Klaus Meffert
25:         * @since 1.0
26:         */
27:        public interface GeneticOperator extends Serializable {
28:
29:            /** String containing the CVS revision. Read out via reflection!*/
30:            final static String CVS_REVISION = "$Revision: 1.16 $";
31:
32:            /**
33:             * The operate method will be invoked on each of the genetic operators
34:             * referenced by the current Configuration object during the evolution
35:             * phase. Operators are given an opportunity to run in the order that
36:             * they are added to the Configuration. Implementations of this method
37:             * may reference the population of Chromosomes as it was at the beginning
38:             * of the evolutionary phase and/or they may instead reference the
39:             * candidate Chromosomes, which are the results of prior genetic operators.
40:             * In either case, only Chromosomes added to the list of candidate
41:             * chromosomes will be considered for natural selection.
42:             *
43:             * The parameters a_population and a_candidateChromosomes may refer to the same
44:             * list of chromosomes for performance issues. Thus would mean an in-place
45:             * modification. In ealier JGAP versions it was suggested never modifying the
46:             * input population. Please refer to implementations delivered with JGAP to
47:             * get a picture of the way non-susceptible in-place modifications are
48:             * possible. If wrongly done, ConcurrentModificationException could be risen
49:             * when accessing the population by an iterator in a GeneticOperator.
50:             * Or, if population.getChromosomes().size() was used inside a loop where
51:             * chromosomes were added to the input population this could lead to an
52:             * infinite loop in worst case.
53:             *
54:             * @param a_population the population of chromosomes from the current
55:             * evolution prior to exposure to any genetic operators. Chromosomes in this
56:             * array should not be modified. Please, notice, that the call in
57:             * Genotype.evolve() to the implementations of GeneticOperator overgoes this
58:             * due to performance issues
59:             * @param a_candidateChromosomes the pool of chromosomes that have been
60:             * selected for the next evolved population
61:             *
62:             * @author Neil Rotstan
63:             * @author Klaus Meffert
64:             * @since 2.0 (earlier versions referenced the Configuration object)
65:             */
66:            public void operate(final Population a_population,
67:                    final List a_candidateChromosomes);
68:        }
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