1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2018 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.Core;
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25 | using HeuristicLab.Encodings.RealVectorEncoding;
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26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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27 |
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28 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
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29 | [Item("SchafferN1", "Schaffer function N.1 for mulitobjective optimization from // https://en.wikipedia.org/wiki/Test_functions_for_optimization [30.11.2015]")]
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30 | [StorableClass]
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31 | public class SchafferN1 : MultiObjectiveTestFunction {
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32 | protected override double[,] GetBounds(int objectives) {
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33 | return new double[,] { { -1e5, 1e5 } };
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34 | }
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35 |
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36 | protected override bool[] GetMaximization(int objectives) {
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37 | return new bool[2];
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38 | }
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39 |
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40 | protected override double[] GetReferencePoint(int objectives) {
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41 | return new double[] { 1e5, 1e5 };
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42 | }
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43 |
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44 |
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45 | protected override IEnumerable<double[]> GetOptimalParetoFront(int objectives) {
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46 | return ParetoFrontStore.GetParetoFront("Misc.ParetoFronts." + "SchafferN1");
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47 | }
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48 |
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49 | protected override double GetBestKnownHypervolume(int objectives) {
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50 | return Hypervolume.Calculate(GetOptimalParetoFront(objectives), GetReferencePoint(objectives), GetMaximization(objectives));
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51 | }
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52 |
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53 | [StorableConstructor]
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54 | protected SchafferN1(bool deserializing) : base(deserializing) { }
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55 | protected SchafferN1(SchafferN1 original, Cloner cloner) : base(original, cloner) { }
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56 | public override IDeepCloneable Clone(Cloner cloner) {
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57 | return new SchafferN1(this, cloner);
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58 | }
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59 |
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60 | public SchafferN1() : base(minimumObjectives: 2, maximumObjectives: 2, minimumSolutionLength: 1, maximumSolutionLength: 1) { }
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61 |
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62 | public override double[] Evaluate(RealVector r, int objectives) {
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63 | if (objectives != 2) throw new ArgumentException("The Schaffer N1 problem must always have 2 objectives");
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64 | if (r.Length != 1) return null;
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65 | double x = r[0];
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66 |
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67 | //objective1
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68 | double f0 = x * x;
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69 |
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70 | //objective0
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71 | double f1 = x - 2;
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72 | f1 *= f1;
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73 |
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74 | return new double[] { f0, f1 };
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75 | }
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76 | }
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77 | }
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