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source: branches/2892_LR-prediction-intervals/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/ZDT/ZDT2.cs @ 15743

Last change on this file since 15743 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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 HeuristicLab.Common;
22using HeuristicLab.Core;
23using HeuristicLab.Encodings.RealVectorEncoding;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
27  [Item("ZDT2", "ZDT2 function as defined in http://www.tik.ee.ethz.ch/sop/download/supplementary/testproblems/ [30.11.2015]")]
28  [StorableClass]
29  public class ZDT2 : ZDT {
30    protected override double GetBestKnownHypervolume(int objectives) {
31      return 120 + 1.0 / 3;
32    }
33
34    [StorableConstructor]
35    protected ZDT2(bool deserializing) : base(deserializing) { }
36    protected ZDT2(ZDT2 original, Cloner cloner) : base(original, cloner) { }
37    public override IDeepCloneable Clone(Cloner cloner) {
38      return new ZDT2(this, cloner);
39    }
40    public ZDT2() : base() { }
41
42    public override double[] Evaluate(RealVector r) {
43      double g = 0;
44      for (int i = 1; i < r.Length; i++) g += r[i];
45      g = 1.0 + 9.0 * g / (r.Length - 1);
46      double d = r[0] / g;
47      double f0 = r[0];
48      double f1 = g * (1.0 - d * d);
49      return new double[] { f0, f1 };
50    }
51  }
52}
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