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source: trunk/sources/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/Misc/SchafferN1.cs @ 15624

Last change on this file since 15624 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 2.9 KB
RevLine 
[13672]1#region License Information
2/* HeuristicLab
[15583]3 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[13672]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;
[13620]22using System.Collections.Generic;
23using HeuristicLab.Common;
[13421]24using HeuristicLab.Core;
25using HeuristicLab.Encodings.RealVectorEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
[14111]28namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
[13515]29  [Item("SchafferN1", "Schaffer function N.1 for mulitobjective optimization from // https://en.wikipedia.org/wiki/Test_functions_for_optimization [30.11.2015]")]
[13421]30  [StorableClass]
31  public class SchafferN1 : MultiObjectiveTestFunction {
[14068]32    protected override double[,] GetBounds(int objectives) {
[13620]33      return new double[,] { { -1e5, 1e5 } };
[13421]34    }
35
[14068]36    protected override bool[] GetMaximization(int objectives) {
[13620]37      return new bool[2];
[13421]38    }
39
[14068]40    protected override double[] GetReferencePoint(int objectives) {
[13672]41      return new double[] { 1e5, 1e5 };
[13421]42    }
43
[13448]44
[14068]45    protected override IEnumerable<double[]> GetOptimalParetoFront(int objectives) {
[14069]46      return ParetoFrontStore.GetParetoFront("Misc.ParetoFronts." + "SchafferN1");
[13448]47    }
48
[14068]49    protected override double GetBestKnownHypervolume(int objectives) {
50      return Hypervolume.Calculate(GetOptimalParetoFront(objectives), GetReferencePoint(objectives), GetMaximization(objectives));
[13515]51    }
52
[13421]53    [StorableConstructor]
54    protected SchafferN1(bool deserializing) : base(deserializing) { }
55    protected SchafferN1(SchafferN1 original, Cloner cloner) : base(original, cloner) { }
56    public override IDeepCloneable Clone(Cloner cloner) {
57      return new SchafferN1(this, cloner);
58    }
59
[13771]60    public SchafferN1() : base(minimumObjectives: 2, maximumObjectives: 2, minimumSolutionLength: 1, maximumSolutionLength: 1) { }
[13421]61
[13620]62    public override double[] Evaluate(RealVector r, int objectives) {
63      if (objectives != 2) throw new ArgumentException("The Schaffer N1 problem must always have 2 objectives");
[13421]64      if (r.Length != 1) return null;
65      double x = r[0];
66
67      //objective1
68      double f0 = x * x;
69
70      //objective0
71      double f1 = x - 2;
72      f1 *= f1;
73
[13620]74      return new double[] { f0, f1 };
[13421]75    }
76  }
77}
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