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Java > Open Source Codes > examples > simpleBooleanThreaded > SimpleExample


1 /*
2  * This file is part of JGAP.
3  *
4  * JGAP offers a dual license model containing the LGPL as well as the MPL.
5  *
6  * For licencing information please see the file license.txt included with JGAP
7  * or have a look at the top of class org.jgap.Chromosome which representatively
8  * includes the JGAP license policy applicable for any file delivered with JGAP.
9  */
10 package examples.simpleBooleanThreaded;
11
12 import org.jgap.*;
13 import org.jgap.impl.*;
14 import org.jgap.event.*;
15
16 /**
17  * Simple class that demonstrates the basic usage of JGAP together with
18  * multithreaded processing.
19  *
20  * @author Klaus Meffert
21  * @since 3.01
22  */
23 public class SimpleExample {
24   /** String containing the CVS revision. Read out via reflection!*/
25   private static final String JavaDoc CVS_REVISION = "$Revision: 1.2 $";
26
27   /**
28    * Starts the example.
29    * @param args ignored here
30    *
31    * @throws Exception
32    *
33    * @author Klaus Meffert
34    * @since 3.01
35    */
36   public static void main(String JavaDoc[] args)
37       throws Exception JavaDoc {
38     final int numEvolutions = 500;
39     final int numThreads = 5;
40     int chromeSize = 20;
41     if (chromeSize > 32) {
42       System.err.println("This example does not handle " +
43                          "Chromosomes greater than 32 bits in length.");
44       System.exit( -1);
45     }
46     for (int i = 0; i < numThreads; i++) {
47       final int j = i;
48       Configuration gaConf = new DefaultConfiguration(i + "", "no name");
49       gaConf.setPreservFittestIndividual(i % 2 == 0);
50       gaConf.setKeepPopulationSizeConstant(i % 2 != 0);
51       IChromosome sampleChromosome = new Chromosome(gaConf,
52           new BooleanGene(gaConf), chromeSize);
53       gaConf.setSampleChromosome(sampleChromosome);
54       gaConf.setPopulationSize(gaConf.getRandomGenerator().nextInt(500));
55       gaConf.setFitnessFunction(new MaxFunction());
56       Genotype genotype = null;
57       try {
58         genotype = Genotype.randomInitialGenotype(gaConf);
59       } catch (InvalidConfigurationException e) {
60         e.printStackTrace();
61         System.exit( -2);
62       }
63       final Thread JavaDoc t1 = new Thread JavaDoc(genotype);
64       gaConf.getEventManager().addEventListener(GeneticEvent.
65           GENOTYPE_EVOLVED_EVENT, new GeneticEventListener() {
66         public void geneticEventFired(GeneticEvent a_firedEvent) {
67           Genotype genotype = (Genotype) a_firedEvent.getSource();
68           int evno = genotype.getConfiguration().getGenerationNr();
69           if (evno % 10 == 0) {
70             double bestFitness = genotype.getFittestChromosome().
71                 getFitnessValue();
72             System.out.println(t1.getName() + ": Evolving generation " + evno
73                                + ", best fitness: " + bestFitness);
74           }
75           if (evno > numEvolutions) {
76             t1.stop();
77           }
78           else {
79             try {
80               t1.sleep( (j + 1) * 3);
81             } catch (InterruptedException JavaDoc iex) {
82               iex.printStackTrace();
83               System.exit(1);
84             }
85           }
86         }
87       });
88       t1.setPriority( (i % 2) + 1);
89       t1.start();
90     }
91   }
92 }
93
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