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source: branches/2990_VariableImpactBasedFeatureSelection/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Interfaces/IMultiObjectiveTestFunction.cs @ 18040

Last change on this file since 18040 was 16565, checked in by gkronber, 6 years ago

#2520: merged changes from PersistenceOverhaul branch (r16451:16564) into trunk

File size: 1.7 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
21
22using System.Collections.Generic;
23using HeuristicLab.Core;
24using HeuristicLab.Encodings.RealVectorEncoding;
25using HEAL.Attic;
26
27namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
28  [StorableType("1E60FF82-D730-4C44-B772-80B63B87A932")]
29  /// <summary>
30  /// An interface which represents an multi objective test functions.
31  /// </summary>
32  public interface IMultiObjectiveTestFunction : INamedItem {
33    bool[] Maximization(int objectives);
34    double[,] Bounds(int objectives);
35
36    IEnumerable<double[]> OptimalParetoFront(int objectives);
37    double OptimalHypervolume(int objectives);
38    double[] ReferencePoint(int objectives);
39
40    int MinimumSolutionLength { get; }
41    int MaximumSolutionLength { get; }
42    int MinimumObjectives { get; }
43    int MaximumObjectives { get; }
44
45    double[] Evaluate(RealVector point, int objectives);
46  }
47}
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