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source: trunk/sources/HeuristicLab.TestFunctions/GriewangkEvaluator.cs @ 1509

Last change on this file since 1509 was 1188, checked in by vdorfer, 16 years ago

Created API documentation for HeuristicLab.TestFunctions namespace (#331)

File size: 2.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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 System.Collections.Generic;
24using System.Text;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Operators;
28
29namespace HeuristicLab.TestFunctions {
30  /// <summary>
31  /// Griewangk Function<br/>
32  /// Domain:  [-600.0 , 600.0]^n<br/>
33  /// Optimum: 0.0 at (0, 0, ..., 0)
34  /// </summary>
35  public class GriewangkEvaluator : TestFunctionEvaluatorBase {
36    /// <inheritdoc select="summary"/>
37    public override string Description {
38      get { return
39@"Griewangk Function
40
41Domain:  [-600.0 , 600.0]^n
42Optimum: 0.0 at (0, 0, ..., 0)";
43          }
44    }
45
46    /// <summary>
47    /// Evaluates the test function for a specific <paramref name="point"/>.
48    /// </summary>
49    /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
50    /// <returns>The result value of the Griewangk function at the given point.</returns>
51    public static double Apply(double[] point) {
52      double result = 0;
53      double val = 0;
54
55      for (int i = 0; i < point.Length; i++)
56        result += point[i] * point[i];
57      result = result / 4000;
58
59      val = Math.Cos(point[0]);
60      for (int i = 1; i < point.Length; i++)
61        val *= Math.Cos(point[i] / Math.Sqrt(i + 1));
62
63      result = result - val + 1;
64      return (result);
65    }
66
67    /// <summary>
68    /// Evaluates the test function for a specific <paramref name="point"/>.
69    /// </summary>
70    /// <remarks>Calls <see cref="Apply"/>.</remarks>
71    /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
72    /// <returns>The result value of the Griewangk function at the given point.</returns>
73    protected override double EvaluateFunction(double[] point) {
74      return Apply(point);
75    }
76  }
77}
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