1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 | using System;
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22 | using System.Collections.Generic;
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23 | using System.Linq;
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24 |
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25 | namespace HeuristicLab.Problems.MultiObjectiveTestFunctions {
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26 |
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27 | public class Hypervolume {
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28 |
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29 | /// <summary>
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30 | /// The Hyprevolume-metric is defined as the Hypervolume enclosed between a given reference point,
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31 | /// that is fixed for every evaluation function and the evaluated front.
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32 | ///
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33 | /// Example:
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34 | /// r is the reference Point at (1|1) and every Point p is part of the evaluated front
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35 | /// The filled Area labled HV is the 2 diensional Hypervolume enclosed by this front.
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36 | ///
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37 | /// (0|1) (1|1)
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38 | /// + +-------------r
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39 | /// | |###### HV ###|
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40 | /// | p------+######|
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41 | /// | p+#####|
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42 | /// | |#####|
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43 | /// | p-+###|
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44 | /// | p---+
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45 | /// |
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46 | /// +--------------------1
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47 | /// (0|0) (1|0)
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48 | ///
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49 | /// Please note that in this example both dimensions are minimized. The reference Point need to be dominated by EVERY point in the evaluated front
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50 | ///
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51 | /// </summary>
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52 | public static double Calculate(IEnumerable<double[]> front, IEnumerable<double> reference, bool[] maximization) {
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53 | List<double> list = new List<double>();
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54 | foreach (double d in reference) list.Add(d);
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55 | double[] refp = list.ToArray<double>();
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56 | if (front == null) throw new ArgumentException("Fronts must not be null");
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57 | double[][] set = front.ToArray(); //Still no Good
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58 | if (set.Length == 0) throw new ArgumentException("Fronts must not be empty");
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59 | if (refp.Length != set[0].Length) throw new ArgumentException("Front and referencepoint need to be of the same dimensionality");
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60 | Array.Sort<double[]>(set, Utilities.getDimensionComparer(0, maximization[0]));
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61 | double[] last = set[set.Length - 1];
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62 | CheckConsistency(last, 0, refp, maximization);
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63 | CheckConsistency(last, 1, refp, maximization);
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64 |
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65 | double sum = 0;
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66 | for (int i = 0; i < set.Length - 1; i++) {
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67 | CheckConsistency(set[i], 1, refp, maximization);
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68 | sum += Math.Abs((set[i][0] - set[i + 1][0])) * Math.Abs((set[i][1] - refp[1]));
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69 | }
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70 |
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71 | sum += Math.Abs(refp[0] - last[0]) * Math.Abs(refp[1] - last[1]);
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72 | return sum;
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73 | }
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74 |
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75 | private static void CheckConsistency(double[] point, int dim, double[] reference, bool[] maximization) {
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76 | if (!maximization[dim] && point[dim] > reference[dim]) throw new ArgumentException("Reference Point must be dominated by all points of the front");
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77 | if (maximization[dim] && point[dim] < reference[dim]) throw new ArgumentException("Reference Point must be dominated by all points of the front");
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78 | if (point.Length != 2) throw new ArgumentException("Only 2-dimensional cases are supported yet");
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79 | }
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80 | }
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81 | }
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