1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Encodings.RealVectorEncoding;
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27 | using HEAL.Attic;
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28 |
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29 | namespace HeuristicLab.Problems.TestFunctions {
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30 | /// <summary>
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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.
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32 | /// </summary>
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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.")]
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34 | [StorableType("3D0027F9-FC7B-4C34-8766-93C4A467767A")]
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35 | public class Booth : SingleObjectiveTestFunction {
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36 | /// <summary>
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37 | /// Returns false as the Booth function is a minimization problem.
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38 | /// </summary>
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39 | public override bool Maximization {
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40 | get { return false; }
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41 | }
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42 | /// <summary>
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43 | /// Gets the optimum function value (0).
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44 | /// </summary>
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45 | public override double BestKnownQuality {
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46 | get { return 0; }
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47 | }
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48 | /// <summary>
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49 | /// Gets the lower and upper bound of the function.
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50 | /// </summary>
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51 | public override DoubleMatrix Bounds {
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52 | get { return new DoubleMatrix(new double[,] { { -10, 10 } }); }
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53 | }
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54 | /// <summary>
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55 | /// Gets the minimum problem size (2).
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56 | /// </summary>
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57 | public override int MinimumProblemSize {
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58 | get { return 2; }
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59 | }
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60 | /// <summary>
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61 | /// Gets the maximum problem size (2).
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62 | /// </summary>
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63 | public override int MaximumProblemSize {
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64 | get { return 2; }
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65 | }
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66 |
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67 | [StorableConstructor]
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68 | protected Booth(StorableConstructorFlag _) : base(_) { }
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69 | protected Booth(Booth original, Cloner cloner) : base(original, cloner) { }
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70 | public Booth() : base() { }
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71 |
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72 | public override IDeepCloneable Clone(Cloner cloner) {
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73 | return new Booth(this, cloner);
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74 | }
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75 |
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76 | public override RealVector GetBestKnownSolution(int dimension) {
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77 | if (dimension != 2) throw new ArgumentException(Name + ": This function is only defined for 2 dimensions.", "dimension");
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78 | return new RealVector(new double[] { 1, 3 });
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79 | }
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80 | /// <summary>
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81 | /// Evaluates the test function for a specific <paramref name="point"/>.
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82 | /// </summary>
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83 | /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
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84 | /// <returns>The result value of the Booth function at the given point.</returns>
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85 | public static double Apply(RealVector point) {
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86 | return (point[0] + 2 * point[1] - 7) * (point[0] + 2 * point[1] - 7)
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87 | + (2 * point[0] + point[1] - 5) * (2 * point[0] + point[1] - 5);
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88 | }
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89 |
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90 | /// <summary>
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91 | /// Evaluates the test function for a specific <paramref name="point"/>.
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92 | /// </summary>
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93 | /// <remarks>Calls <see cref="Apply"/>.</remarks>
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94 | /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
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95 | /// <returns>The result value of the Booth function at the given point.</returns>
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96 | public override double Evaluate(RealVector point) {
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97 | return Apply(point);
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98 | }
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99 | }
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100 | }
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