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source: trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/BoothEvaluator.cs @ 11526

Last change on this file since 11526 was 11171, checked in by ascheibe, 10 years ago

#2115 merged r11170 (copyright update) into trunk

File size: 4.2 KB
RevLine 
[3150]1#region License Information
2/* HeuristicLab
[11171]3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3150]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;
[4722]23using HeuristicLab.Common;
[3154]24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.RealVectorEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
[3150]28
[3170]29namespace HeuristicLab.Problems.TestFunctions {
[3150]30  /// <summary>
[3315]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.
[3150]32  /// </summary>
[3315]33  [Item("BoothEvaluator", "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.")]
[3154]34  [StorableClass]
[3170]35  public class BoothEvaluator : SingleObjectiveTestFunctionProblemEvaluator {
[9980]36    public override string FunctionName { get { return "Booth"; } }
[3154]37    /// <summary>
38    /// Returns false as the Booth function is a minimization problem.
39    /// </summary>
40    public override bool Maximization {
41      get { return false; }
[3150]42    }
[3154]43    /// <summary>
44    /// Gets the optimum function value (0).
45    /// </summary>
46    public override double BestKnownQuality {
47      get { return 0; }
48    }
49    /// <summary>
50    /// Gets the lower and upper bound of the function.
51    /// </summary>
52    public override DoubleMatrix Bounds {
53      get { return new DoubleMatrix(new double[,] { { -10, 10 } }); }
54    }
55    /// <summary>
56    /// Gets the minimum problem size (2).
57    /// </summary>
58    public override int MinimumProblemSize {
59      get { return 2; }
60    }
61    /// <summary>
62    /// Gets the maximum problem size (2).
63    /// </summary>
64    public override int MaximumProblemSize {
65      get { return 2; }
66    }
[3150]67
[4722]68    [StorableConstructor]
69    protected BoothEvaluator(bool deserializing) : base(deserializing) { }
70    protected BoothEvaluator(BoothEvaluator original, Cloner cloner) : base(original, cloner) { }
71    public BoothEvaluator() : base() { }
72
73    public override IDeepCloneable Clone(Cloner cloner) {
74      return new BoothEvaluator(this, cloner);
75    }
76
[3781]77    public override RealVector GetBestKnownSolution(int dimension) {
78      if (dimension != 2) throw new ArgumentException(Name + ": This function is only defined for 2 dimensions.", "dimension");
79      return new RealVector(new double[] { 1, 3 });
80    }
[3150]81    /// <summary>
82    /// Evaluates the test function for a specific <paramref name="point"/>.
83    /// </summary>
84    /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
85    /// <returns>The result value of the Booth function at the given point.</returns>
[3154]86    public static double Apply(RealVector point) {
[3315]87      return (point[0] + 2 * point[1] - 7) * (point[0] + 2 * point[1] - 7)
88        + (2 * point[0] + point[1] - 5) * (2 * point[0] + point[1] - 5);
[3150]89    }
90
91    /// <summary>
92    /// Evaluates the test function for a specific <paramref name="point"/>.
93    /// </summary>
94    /// <remarks>Calls <see cref="Apply"/>.</remarks>
95    /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
96    /// <returns>The result value of the Booth function at the given point.</returns>
[9407]97    public override double Evaluate(RealVector point) {
[3150]98      return Apply(point);
99    }
100  }
101}
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