source: branches/ProblemRefactoring/HeuristicLab.Problems.TestFunctions/3.3/Functions/Booth.cs @ 13403

Last change on this file since 13403 was 13403, checked in by abeham, 4 years ago

#2521:

  • Adapted single-objective test function problem to new problem infrastructure
  • Added additional interfaces to RealVectorEncoding
  • Fixed IParticleUpdater interface (must implement IStochasticOperator if it contains a Random parameter)
File size: 4.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.RealVectorEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.TestFunctions {
30  /// <summary>
31  /// The Booth function is implemented as described on http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page816.htm, last accessed April 12th, 2010.
32  /// </summary>
33  [Item("Booth", "Evaluates the Booth function on a given point. The optimum of this function is 0 at (1,3). It is implemented as described on http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page816.htm, last accessed April 12th, 2010.")]
34  [StorableClass]
35  public class Booth : SingleObjectiveTestFunction {
36    /// <summary>
37    /// Returns false as the Booth function is a minimization problem.
38    /// </summary>
39    public override bool Maximization {
40      get { return false; }
41    }
42    /// <summary>
43    /// Gets the optimum function value (0).
44    /// </summary>
45    public override double BestKnownQuality {
46      get { return 0; }
47    }
48    /// <summary>
49    /// Gets the lower and upper bound of the function.
50    /// </summary>
51    public override DoubleMatrix Bounds {
52      get { return new DoubleMatrix(new double[,] { { -10, 10 } }); }
53    }
54    /// <summary>
55    /// Gets the minimum problem size (2).
56    /// </summary>
57    public override int MinimumProblemSize {
58      get { return 2; }
59    }
60    /// <summary>
61    /// Gets the maximum problem size (2).
62    /// </summary>
63    public override int MaximumProblemSize {
64      get { return 2; }
65    }
66
67    [StorableConstructor]
68    protected Booth(bool deserializing) : base(deserializing) { }
69    protected Booth(Booth original, Cloner cloner) : base(original, cloner) { }
70    public Booth() : base() { }
71
72    public override IDeepCloneable Clone(Cloner cloner) {
73      return new Booth(this, cloner);
74    }
75
76    public override RealVector GetBestKnownSolution(int dimension) {
77      if (dimension != 2) throw new ArgumentException(Name + ": This function is only defined for 2 dimensions.", "dimension");
78      return new RealVector(new double[] { 1, 3 });
79    }
80    /// <summary>
81    /// Evaluates the test function for a specific <paramref name="point"/>.
82    /// </summary>
83    /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
84    /// <returns>The result value of the Booth function at the given point.</returns>
85    public static double Apply(RealVector point) {
86      return (point[0] + 2 * point[1] - 7) * (point[0] + 2 * point[1] - 7)
87        + (2 * point[0] + point[1] - 5) * (2 * point[0] + point[1] - 5);
88    }
89
90    /// <summary>
91    /// Evaluates the test function for a specific <paramref name="point"/>.
92    /// </summary>
93    /// <remarks>Calls <see cref="Apply"/>.</remarks>
94    /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
95    /// <returns>The result value of the Booth function at the given point.</returns>
96    public override double Evaluate(RealVector point) {
97      return Apply(point);
98    }
99  }
100}
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