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source: branches/HeuristicLab.EvolutionTracking/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisMaxCommonSubtreeDiversityAnalyzer.cs @ 11493

Last change on this file since 11493 was 11482, checked in by bburlacu, 10 years ago

#1772: Added the ability to ignore variable weights or constant values to the BottomUpSimilarityCalculator and added parameters to the SymbolicDataAnalysisBottomUpDiversityAnalyzer. Added separate methods in the MaxCommonSubtreeSimilarityCalculator for performing matching with full subtrees (including all leaves) or without (like the old - and better - behavior).

File size: 1.7 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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.Analysis;
23using HeuristicLab.Core;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Analyzers {
27  [Item("SymbolicDataAnalysisMaxCommonSubtreeDiversityAnalyzer", "A diversity analyzer based on the max common subtree similarity between trees.")]
28  [StorableClass]
29  public class SymbolicDataAnalysisMaxCommonSubtreeDiversityAnalyzer : SingleObjectivePopulationDiversityAnalyzer {
30    [StorableConstructor]
31    protected SymbolicDataAnalysisMaxCommonSubtreeDiversityAnalyzer(bool deserializing) : base(deserializing) { }
32
33    public SymbolicDataAnalysisMaxCommonSubtreeDiversityAnalyzer() {
34      SimilarityCalculator = new MaxCommonSubtreeSimilarityCalculator { SolutionVariableName = "SymbolicExpressionTree" };
35    }
36  }
37}
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