Free cookie consent management tool by TermsFeed Policy Generator

source: trunk/HeuristicLab.Algorithms.CMAEvolutionStrategy/3.4/CMAOperators/CMAEqualweightedRecombinator.cs @ 17181

Last change on this file since 17181 was 17180, checked in by swagner, 3 years ago

#2875: Removed years in copyrights

File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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.Common;
23using HeuristicLab.Core;
24using HEAL.Attic;
25
26namespace HeuristicLab.Algorithms.CMAEvolutionStrategy {
27  [Item("CMA Equal-weighted Recombinator", "Calculates weighted mean using equal weights.")]
28  [StorableType("989FE031-C410-4435-B5F5-17A22C4A97BC")]
29  public class CMAEqualweightedRecombinator : CMARecombinator {
30
31    [StorableConstructor]
32    protected CMAEqualweightedRecombinator(StorableConstructorFlag _) : base(_) { }
33    protected CMAEqualweightedRecombinator(CMAEqualweightedRecombinator original, Cloner cloner) : base(original, cloner) { }
34    public CMAEqualweightedRecombinator() : base() { }
35
36    public override IDeepCloneable Clone(Cloner cloner) {
37      return new CMAEqualweightedRecombinator(this, cloner);
38    }
39
40    protected override double[] GetWeights(int mu) {
41      var weights = new double[mu];
42      for (int i = 0; i < mu; i++)
43        weights[i] = 1.0 / mu;
44      return weights;
45    }
46  }
47}
Note: See TracBrowser for help on using the repository browser.