source: branches/2520_PersistenceReintegration/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/ZDT/ZDT1.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: 2.0 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Encodings.RealVectorEncoding;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
28  [Item("ZDT1", "ZDT1 function as defined in http://www.tik.ee.ethz.ch/sop/download/supplementary/testproblems/ [30.11.2015]")]
29  [StorableClass]
30  public class ZDT1 : ZDT {
31    protected override double GetBestKnownHypervolume(int objectives) {
32      return 120 + 2.0 / 3;
33    }
34
35    [StorableConstructor]
36    protected ZDT1(bool deserializing) : base(deserializing) { }
37    protected ZDT1(ZDT1 original, Cloner cloner) : base(original, cloner) { }
38    public override IDeepCloneable Clone(Cloner cloner) {
39      return new ZDT1(this, cloner);
40    }
41
42    public ZDT1() : base() { }
43
44    public override double[] Evaluate(RealVector r) {
45      double g = 0;
46      for (int i = 1; i < r.Length; i++) g += r[i];
47      g = 1.0 + 9.0 * g / (r.Length - 1);
48      double f0 = r[0];
49      double f1 = g * (1.0 - Math.Sqrt(r[0] / g));
50      return new double[] { f0, f1 };
51    }
52  }
53}
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