truthtablefitnessfunctiontest.java

JGAP（发音"jay-gap"）是一款用Java编写的遗传算法包。提供了基本的遗传算法.你可以使用它来解决一些适用于遗传算法解决的问题.

/*
 * This file is part of JGAP.
 *
 * JGAP offers a dual license model containing the LGPL as well as the MPL.
 *
 * For licencing 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 org.jgap.impl.fitness;

import java.util.*;
import junit.framework.*;
import org.jgap.*;

/**
 * Tests for the TruthTableFitnessFunction class.
 *
 * @author Klaus Meffert
 * @since 1.1
 */
public class TruthTableFitnessFunctionTest
    extends JGAPTestCase {
  /** String containing the CVS revision. Read out via reflection!*/
  private final static String CVS_REVISION = "$Revision: 1.2 $";

  public static Test suite() {
    TestSuite suite = new TestSuite(TruthTableFitnessFunctionTest.class);
    return suite;
  }

  /**
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.6
   */
  public void testCalcFitness_0()
      throws Exception {
    Map inout = new HashMap();
    inout.put(new Double(2), new Double(3));
    inout.put(new Double(9), new Double(11));
    TruthTableFitnessFunctionImpl fitfunc = new TruthTableFitnessFunctionImpl(7);
    Map truthTable = new HashMap();
    truthTable.put(new Double(2), new Double(4));
    truthTable.put(new Double(8), new Double(1));
    truthTable.put(new Double(9), new Double(11));
    fitfunc.setTruthTable(truthTable);
    assertEquals(2.0d, fitfunc.calcFitness(inout), DELTA);
  }

  /**
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.6
   */
  public void testCalcFitness_1()
      throws Exception {
    Map inout = new HashMap();
    inout.put(new Double(2), new Double(3));
    inout.put(new Double(9), new Double(11));
    Map truthTable = new HashMap();
    truthTable.put(new Double(2), new Double(4));
    truthTable.put(new Double(8), new Double(1));
    truthTable.put(new Double(9), new Double(11));
    TruthTableFitnessFunctionImpl fitfunc = new TruthTableFitnessFunctionImpl(7, truthTable);
    assertEquals(2.0d, fitfunc.calcFitness(inout), DELTA);
  }

  /**
   * Implementing class of abstract TruthTableFitnessFunction class.
   *
   * @author Klaus Meffert
   * @since 2.6
   */
  private class TruthTableFitnessFunctionImpl
      extends TruthTableFitnessFunction {
    /**
     * @since 2.0 (until 1.1: type int)
     */
    private double m_evaluationValue;

    public TruthTableFitnessFunctionImpl(double a_evaluationValue, Map a_values) {
      super(a_values);
      m_evaluationValue = a_evaluationValue;
    }

    public TruthTableFitnessFunctionImpl(double a_evaluationValue) {
      m_evaluationValue = a_evaluationValue;
    }

    protected double evaluate(IChromosome a_subject) {
      return m_evaluationValue;
    }
  }
}