mathrunner.java

JGAP是一种遗传算法和遗传规划的组成部分提供了一个Java框架。它提供了基本的遗传机制

/*
 * This file is part of JGAP.
 *
 * JGAP offers a dual license model containing the LGPL as well as the MPL.
 *
 * For licensing information please see the file license.txt included with JGAP
 * or have a look at the top of class org.jgap.Chromosome which representatively
 * includes the JGAP license policy applicable for any file delivered with JGAP.
 */
package examples.math;

import org.jgap.*;
import examples.math.ga.*;

/**
 * Main class to start the example.
 * The aim is to find a mathematical expression with simple operations (like
 * plus, minus, multiply, divide) that results in a given target number.
 *
 * @author Michael Grove
 * @since 3.4.2
 */
public class MathRunner {
  /** String containing the CVS revision. Read out via reflection!*/
  private final static String CVS_REVISION = "$Revision: 1.1 $";

  public static void main(String[] args)
      throws Exception {
    int EVOLUTIONS = 1000;
    Genotype population = Genotype.randomInitialGenotype(new
        MathRunnerConfiguration());
    for (int i = 0; i < EVOLUTIONS; i++) {
      population.evolve();
      if (i % (EVOLUTIONS / 100) == 0) {
        System.err.println("Evolution (" + i + ")");
        System.err.println(population.getFittestChromosome());
      }
    }
    System.err.println(population.getFittestChromosome());
    System.err.println(population.getFittestChromosome().getFitnessValue());
  }
}