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source: trunk/sources/HeuristicLab.Algorithms.CMAEvolutionStrategy/3.3/Interfaces/ICMAInitializer.cs @ 9718

Last change on this file since 9718 was 9129, checked in by abeham, 11 years ago

#1961:

  • Changed CMA-ES to reference RealVector directly and work with that encoding only (separation of algorithm and encoding was not trivial to achieve)
  • Simplified operator graph (also improves performance)
  • Simplified strategy parameters (those used only during update are initialized in update)
  • Added many termination criteria (same as in Hansen's Java version)
  • Added different ways to calculate the mean (different weightings)
File size: 1.4 KB
Line 
1#region License Information
2
3/* HeuristicLab
4 * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
5 *
6 * This file is part of HeuristicLab.
7 *
8 * HeuristicLab is free software: you can redistribute it and/or modify
9 * it under the terms of the GNU General Public License as published by
10 * the Free Software Foundation, either version 3 of the License, or
11 * (at your option) any later version.
12 *
13 * HeuristicLab is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
16 * GNU General Public License for more details.
17 *
18 * You should have received a copy of the GNU General Public License
19 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
20 */
21
22#endregion
23
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using System;
27
28namespace HeuristicLab.Algorithms.CMAEvolutionStrategy {
29  public interface ICMAInitializer : IOperator {
30    Type CMAType { get; }
31
32    ILookupParameter<IntValue> PopulationSizeParameter { get; }
33    ILookupParameter<IntValue> MuParameter { get; }
34    IValueLookupParameter<IntValue> InitialIterationsParameter { get; }
35    IValueLookupParameter<IntValue> DimensionParameter { get; }
36    IValueLookupParameter<DoubleArray> InitialSigmaParameter { get; }
37  }
38}
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