Source Code Cross Referenced for SimpleExample.java in  » Development » jgap » examples » simpleBoolean » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Development » jgap » examples.simpleBoolean 
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 licencing 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 examples.simpleBoolean;
11:
12:        import org.jgap.*;
13:        import org.jgap.impl.*;
14:
15:        /**
16:         * Simple class that demonstrates the basic usage of JGAP.
17:         *
18:         * @author Neil Rotstan
19:         * @author Klaus Meffert
20:         * @since 2.0
21:         */
22:        public class SimpleExample {
23:            /** String containing the CVS revision. Read out via reflection!*/
24:            private static final String CVS_REVISION = "$Revision: 1.8 $";
25:
26:            /**
27:             * Starts the example.
28:             * @param args if optional first argument provided, it represents the number
29:             * of bits to use, but no more than 32
30:             *
31:             * @author Neil Rotstan
32:             * @author Klaus Meffert
33:             * @since 2.0
34:             */
35:            public static void main(String[] args) {
36:                int numEvolutions = 500;
37:                Configuration gaConf = new DefaultConfiguration();
38:                gaConf.setPreservFittestIndividual(true);
39:                gaConf.setKeepPopulationSizeConstant(false);
40:                Genotype genotype = null;
41:                int chromeSize;
42:                if (args.length > 0) {
43:                    chromeSize = Integer.parseInt(args[0]);
44:                } else {
45:                    chromeSize = 16;
46:                }
47:                double maxFitness = Math.pow(2.0, (double) chromeSize) - 1;
48:                if (chromeSize > 32) {
49:                    System.err.println("This example does not handle "
50:                            + "Chromosomes greater than 32 bits in length.");
51:                    System.exit(-1);
52:                }
53:                try {
54:                    IChromosome sampleChromosome = new Chromosome(gaConf,
55:                            new BooleanGene(gaConf), chromeSize);
56:                    gaConf.setSampleChromosome(sampleChromosome);
57:                    gaConf.setPopulationSize(20);
58:                    gaConf.setFitnessFunction(new MaxFunction());
59:                    genotype = Genotype.randomInitialGenotype(gaConf);
60:                } catch (InvalidConfigurationException e) {
61:                    e.printStackTrace();
62:                    System.exit(-2);
63:                }
64:                int progress = 0;
65:                int percentEvolution = numEvolutions / 100;
66:                for (int i = 0; i < numEvolutions; i++) {
67:                    genotype.evolve();
68:                    // Print progress.
69:                    // ---------------
70:                    if (percentEvolution > 0 && i % percentEvolution == 0) {
71:                        progress++;
72:                        IChromosome fittest = genotype.getFittestChromosome();
73:                        double fitness = fittest.getFitnessValue();
74:                        System.out
75:                                .println("Currently fittest Chromosome has fitness "
76:                                        + fitness);
77:                        if (fitness >= maxFitness) {
78:                            break;
79:                        }
80:                    }
81:                }
82:                // Print summary.
83:                // --------------
84:                IChromosome fittest = genotype.getFittestChromosome();
85:                System.out.println("Fittest Chromosome has fitness "
86:                        + fittest.getFitnessValue());
87:            }
88:        }
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