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source: branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/Analyzers/GenerationalDistanceAnalyzer.cs @ 13672

Last change on this file since 13672 was 13672, checked in by bwerth, 8 years ago

#1087 added Analyzers, reworked PFStore, added licence information, cleaned code

File size: 1.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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
21using HeuristicLab.Common;
22using HeuristicLab.Data;
23using HeuristicLab.Optimization;
24
25namespace HeuristicLab.Problems.MultiObjectiveTestFunctions {
26  class GenerationalDistanceAnalyzer : MOTFAnalyzer {
27    public GenerationalDistanceAnalyzer() {
28    }
29
30    protected GenerationalDistanceAnalyzer(GenerationalDistanceAnalyzer original, Cloner cloner) : base(original, cloner) {
31    }
32
33    public override IDeepCloneable Clone(Cloner cloner) {
34      return new GenerationalDistanceAnalyzer(this, cloner);
35    }
36
37    protected override void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results) {
38      int objectives = qualities[0].Length;
39      var optimalfront = TestFunction.OptimalParetoFront(objectives);
40      if (optimalfront == null) {
41        return;
42      }
43      if (!results.ContainsKey("GenerationalDistance")) results.Add(new Result("GenerationalDistance", typeof(DoubleValue)));
44      results["GenerationalDistance"].Value = new DoubleValue(GenerationalDistance.Calculate(qualities, optimalfront, 1));
45    }
46  }
47}
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