source: branches/2520_PersistenceReintegration/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Calculators/Spacing.cs @ 16453

Last change on this file since 16453 was 16453, checked in by jkarder, 2 years ago

#2520: updated year of copyrights

File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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
21using System;
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25
26namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
27
28  /// <summary>
29  /// Spacing is defined as the standarddeviation of all d[i]
30  /// where d[i] is the minimum eukildean distance any point has
31  /// to all OTHER points in the same front
32  /// </summary>
33  public static class Spacing {
34
35    public static double Calculate(IEnumerable<double[]> front) {
36      if (front == null) throw new ArgumentException("Front must not be null.");
37      if (!front.Any()) throw new ArgumentException("Front must  not be empty.");
38
39      var points = front.ToList();
40      var d = new List<double>();
41
42      foreach (double[] r in points) {
43        var point = r;
44        var otherPoints = points.Where(p => p != point).DefaultIfEmpty(point);
45        double dist = Utilities.MinimumDistance(point, otherPoints);
46        d.Add(dist);
47      }
48
49      return d.StandardDeviationPop();
50    }
51
52  }
53}
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