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 HeuristicLab.Common;
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24 | using HeuristicLab.Encodings.RealVectorEncoding;
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25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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26 |
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27 | namespace HeuristicLab.Problems.MultiObjectiveTestFunctions {
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28 | [StorableClass]
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29 | public abstract class IHR : MultiObjectiveTestFunction {
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30 |
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31 | public override IEnumerable<double[]> OptimalParetoFront(int objectives) {
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32 | if (objectives == 2) return PFStore.get(this.ItemName + ".2D");
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33 | return null;
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34 | }
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35 |
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36 | public override double[,] Bounds(int objectives) {
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37 | return new double[,] { { -1, 1 } };
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38 | }
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39 |
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40 | public override bool[] Maximization(int objectives) {
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41 | return new bool[objectives];
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42 | }
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43 |
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44 | public override double[] ReferencePoint(int objectives) {
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45 | double[] rp = new double[objectives];
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46 | for (int i = 0; i < objectives; i++) {
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47 | rp[i] = 11;
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48 | }
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49 | return rp;
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50 | }
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51 |
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52 | [StorableConstructor]
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53 | protected IHR(bool deserializing) : base(deserializing) { }
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54 | protected IHR(IHR original, Cloner cloner) : base(original, cloner) { }
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55 | public IHR() : base(minimumObjectives: 2, maximumObjectives: 2, minimumSolutionLength: 2, maximumSolutionLength: int.MaxValue) { }
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56 |
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57 | public override double[] Evaluate(RealVector r, int objectives) {
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58 | if (r.Length < objectives) {
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59 | throw new ArgumentException("The dimensionality of the problem(ProblemSize) must be larger than or equal to the number of objectives");
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60 | }
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61 | RealVector y = Y(r);
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62 | return new double[] { F1(y), F2(r, y) };
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63 | }
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64 | protected abstract double F1(RealVector y);
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65 | protected abstract double F2(RealVector r, RealVector y);
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66 | protected abstract double G(RealVector y);
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67 |
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68 |
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69 | protected double H(double x, RealVector r) {
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70 | return 1.0 / (1 + Math.Exp(-x / Math.Sqrt(r.Length)));
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71 | }
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72 | protected double HF(double x, RealVector r) {
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73 | double ymax = 1;
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74 | return Math.Abs(r[0]) <= ymax ? x : 1 + Math.Abs(r[0]);
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75 | }
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76 | protected double HG(double x) {
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77 | return (x * x) / (Math.Abs(x) + 0.1);
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78 | }
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79 | protected RealVector Y(RealVector x) {
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80 | return x;
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81 | }
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82 | }
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83 | }
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