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source: trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Interfaces/ISingleObjectiveTestFunctionProblemEvaluator.cs @ 9345

Last change on this file since 9345 was 9345, checked in by jkarder, 11 years ago

#2029:

  • added EvaluateFunction to ISingleObjectiveTestFunctionProblemEvaluator and adapted evaluators
  • fixed SingleObjectiveTestFunctionImprovementOperator
File size: 1.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 HeuristicLab.Core;
23using HeuristicLab.Data;
24using HeuristicLab.Encodings.RealVectorEncoding;
25using HeuristicLab.Optimization;
26
27namespace HeuristicLab.Problems.TestFunctions {
28  /// <summary>
29  /// An interface which represents an evaluation operator for single objective test functions.
30  /// </summary>
31  public interface ISingleObjectiveTestFunctionProblemEvaluator : ISingleObjectiveEvaluator {
32    bool Maximization { get; }
33    DoubleMatrix Bounds { get; }
34    double BestKnownQuality { get; }
35    int MinimumProblemSize { get; }
36    int MaximumProblemSize { get; }
37
38    ILookupParameter<RealVector> PointParameter { get; }
39
40    double Evaluate2D(double x, double y);
41    double EvaluateFunction(RealVector point);
42    RealVector GetBestKnownSolution(int dimension);
43  }
44}
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