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source: branches/PersistenceReintegration/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/DTLZ/DTLZ6.cs @ 15018

Last change on this file since 15018 was 15018, checked in by gkronber, 7 years ago

#2520 introduced StorableConstructorFlag type for StorableConstructors

File size: 2.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Encodings.RealVectorEncoding;
25using HeuristicLab.Persistence;
26
27namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
28  [Item("DTLZ6", "Testfunction as defined as DTLZ5 in http://repository.ias.ac.in/81671/ [30.11.15]")]
29  [StorableType("6d81d7bf-241a-4272-831e-b336ba64b183")]
30  public class DTLZ6 : DTLZ {
31
32    [StorableConstructor]
33    protected DTLZ6(StorableConstructorFlag deserializing) : base(deserializing) { }
34    protected DTLZ6(DTLZ6 original, Cloner cloner) : base(original, cloner) { }
35    public override IDeepCloneable Clone(Cloner cloner) {
36      return new DTLZ6(this, cloner);
37    }
38    public DTLZ6() : base() { }
39
40    public override double[] Evaluate(RealVector r, int objectives) {
41      if (r.Length < objectives) {
42        throw new ArgumentException("The dimensionality of the problem(ProblemSize) must be larger than or equal to the number of objectives");
43      }
44      double[] res = new double[objectives];
45
46      //calculate g(Xm)
47      double g = 0;
48      for (int i = objectives; i < r.Length; i++) {
49        g += Math.Pow(r[i], 0.1);
50      }
51
52      //phi definition
53      Func<double, double> phi;
54      phi = (double x) => { return Math.PI / (4 * (1 + g)) * (1 + 2 * g * x); };
55
56      //calculating f0...fM-1
57      for (int i = 0; i < objectives; i++) {
58        double f = i == 0 ? 1 : (Math.Sin(phi(r[objectives - i - 1]) * Math.PI / 2)) * (1 + g);
59        for (int j = 0; j < objectives - i - 1; j++) {
60          f *= Math.Cos(phi(r[j]) * Math.PI / 2);
61        }
62        res[i] = f;
63      }
64      return res;
65    }
66  }
67}
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