[13936] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15583] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[13936] | 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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[14111] | 28 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
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[13936] | 29 | [Item("IHR4", "Testfunction as defined as IHR4 in \"Igel, C., Hansen, N., & Roth, S. (2007). Covariance matrix adaptation for multi-objective optimization. Evolutionary computation, 15(1), 1-28.\" [24.06.16]")]
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| 30 | [StorableClass]
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| 31 | public class IHR4 : IHR {
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[14068] | 32 | protected override IEnumerable<double[]> GetOptimalParetoFront(int objectives) {
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[13936] | 33 | List<double[]> res = new List<double[]>();
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| 34 | for (int i = 0; i <= 500; i++) {
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| 35 | RealVector r = new RealVector(objectives);
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| 36 | r[0] = 1 / 500.0 * i;
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| 37 | res.Add(this.Evaluate(r, objectives));
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| 38 | }
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| 39 | return res;
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| 40 | }
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[14068] | 41 |
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| 42 | protected override double GetBestKnownHypervolume(int objectives) {
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| 43 | return Hypervolume.Calculate(GetOptimalParetoFront(objectives), GetReferencePoint(objectives), GetMaximization(objectives));
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[13936] | 44 | }
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| 45 |
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[14068] | 46 | protected override double[,] GetBounds(int objectives) {
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[13936] | 47 | return new double[,] { { -5, 5 } };
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| 48 | }
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| 49 |
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| 50 | [StorableConstructor]
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| 51 | protected IHR4(bool deserializing) : base(deserializing) { }
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| 52 | protected IHR4(IHR4 original, Cloner cloner) : base(original, cloner) { }
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| 53 | public IHR4() : base() {
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| 54 | }
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| 55 |
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| 56 | public override IDeepCloneable Clone(Cloner cloner) {
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| 57 | return new IHR4(this, cloner);
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| 58 | }
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| 59 |
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| 60 | protected override double F1(RealVector y) {
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| 61 | return Math.Abs(y[0]);
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| 62 | }
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| 63 |
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[14090] | 64 | protected override double F2(RealVector y) {
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[13936] | 65 | var g = G(y);
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| 66 | var d = H(y[0], y) / g;
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| 67 | return g * HF(1 - Math.Sqrt(d), y);
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| 68 | }
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| 69 |
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| 70 | protected override double G(RealVector y) {
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| 71 | double sum = 0.0;
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| 72 | for (int i = 1; i < y.Length; i++) {
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| 73 | sum += y[i] * y[i] - 10 * Math.Cos(4 * Math.PI * y[i]);
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| 74 | }
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| 75 | return 1 + 10 * (y.Length - 1) + sum;
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| 76 | }
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| 77 | }
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| 78 | }
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