source: branches/2520_PersistenceReintegration/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/IHR/IHR1.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: 2.7 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 HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Encodings.RealVectorEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
29  [Item("IHR1", "Testfunction as defined as IHR1 in \"Igel, C., Hansen, N., & Roth, S. (2007). Covariance matrix adaptation for multi-objective optimization. Evolutionary computation, 15(1), 1-28.\" [24.06.16]")]
30  [StorableClass]
31  public class IHR1 : IHR {
32    protected override IEnumerable<double[]> GetOptimalParetoFront(int objectives) {
33      List<double[]> res = new List<double[]>();
34      for (int i = 0; i <= 500; i++) {
35        RealVector r = new RealVector(objectives);
36        r[0] = 1 / 500.0 * i;
37        res.Add(this.Evaluate(r, objectives));
38      }
39      return res;
40    }
41
42    protected override double GetBestKnownHypervolume(int objectives) {
43      return Hypervolume.Calculate(GetOptimalParetoFront(objectives), GetReferencePoint(objectives), GetMaximization(objectives));
44    }
45
46    [StorableConstructor]
47    protected IHR1(bool deserializing) : base(deserializing) { }
48    protected IHR1(IHR1 original, Cloner cloner) : base(original, cloner) { }
49    public IHR1() : base() {
50    }
51
52    public override IDeepCloneable Clone(Cloner cloner) {
53      return new IHR1(this, cloner);
54    }
55
56    protected override double F1(RealVector y) {
57      return Math.Abs(y[0]);
58    }
59
60    protected override double F2(RealVector y) {
61      var g = G(y);
62      return g * HF(1 - Math.Sqrt(H(y[0], y) / g), y);
63    }
64
65    protected override double G(RealVector y) {
66      double sum = 0.0;
67      for (int i = 1; i < y.Length; i++) {
68        sum += HG(y[i]);
69      }
70      return 1 + 9 * sum / (y.Length - 1);
71    }
72  }
73}
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