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 |
|
---|
22 | using System.Linq;
|
---|
23 | using HeuristicLab.Analysis;
|
---|
24 | using HeuristicLab.Common;
|
---|
25 | using HeuristicLab.Core;
|
---|
26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
|
---|
27 | using HeuristicLab.Operators;
|
---|
28 | using HeuristicLab.Optimization;
|
---|
29 | using HeuristicLab.Parameters;
|
---|
30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
31 |
|
---|
32 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Analyzers {
|
---|
33 | [StorableClass]
|
---|
34 | [Item("SymbolicDataAnalysisInternalDiversityAnalyzer", "An analyzer that determines the average diversity of symbolic expression trees.")]
|
---|
35 | public class SymbolicDataAnalysisInternalDiversityAnalyzer : SingleSuccessorOperator, ISymbolicDataAnalysisAnalyzer {
|
---|
36 | private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
|
---|
37 | private const string ResultCollectionParameterName = "Results";
|
---|
38 | private readonly BottomUpSimilarityCalculator busCalculator;
|
---|
39 |
|
---|
40 | public SymbolicDataAnalysisInternalDiversityAnalyzer() {
|
---|
41 | busCalculator = new BottomUpSimilarityCalculator();
|
---|
42 |
|
---|
43 | Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName));
|
---|
44 | Parameters.Add(new LookupParameter<ResultCollection>(ResultCollectionParameterName));
|
---|
45 | }
|
---|
46 |
|
---|
47 | protected SymbolicDataAnalysisInternalDiversityAnalyzer(SymbolicDataAnalysisInternalDiversityAnalyzer original, Cloner cloner)
|
---|
48 | : base(original, cloner) {
|
---|
49 | }
|
---|
50 |
|
---|
51 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
52 | return new SymbolicDataAnalysisInternalDiversityAnalyzer(this, cloner);
|
---|
53 | }
|
---|
54 |
|
---|
55 | public IScopeTreeLookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
|
---|
56 | get { return (IScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[SymbolicExpressionTreeParameterName]; }
|
---|
57 | }
|
---|
58 | public ILookupParameter<ResultCollection> ResultCollectionParameter {
|
---|
59 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultCollectionParameterName]; }
|
---|
60 | }
|
---|
61 |
|
---|
62 | public bool EnabledByDefault { get { return true; } }
|
---|
63 |
|
---|
64 | public override IOperation Apply() {
|
---|
65 |
|
---|
66 | var results = ResultCollectionParameter.ActualValue;
|
---|
67 |
|
---|
68 | DataTable table;
|
---|
69 | if (!results.ContainsKey("Avg. Internal Diversity")) {
|
---|
70 | table = new DataTable("Internal Diversity") { VisualProperties = { YAxisTitle = "Internal Diversity" } };
|
---|
71 | table.Rows.Add(new DataRow("Avg. Internal Diversity"));
|
---|
72 | results.Add(new Result("Avg. Internal Diversity", table));
|
---|
73 | } else {
|
---|
74 | table = (DataTable)results["Avg. Internal Diversity"].Value;
|
---|
75 | }
|
---|
76 |
|
---|
77 | double diversity = 0;
|
---|
78 | var trees = SymbolicExpressionTreeParameter.ActualValue;
|
---|
79 | foreach (var tree in trees) {
|
---|
80 | diversity += CalculateInternalDiversity(tree);
|
---|
81 | }
|
---|
82 |
|
---|
83 | table.Rows["Avg. Internal Diversity"].Values.Add(diversity / trees.Length);
|
---|
84 | return base.Apply();
|
---|
85 | }
|
---|
86 |
|
---|
87 | private double CalculateInternalDiversity(ISymbolicExpressionTree tree) {
|
---|
88 | var branchPoint = tree.IterateNodesPrefix().FirstOrDefault(x => x.SubtreeCount == 2);
|
---|
89 | if (branchPoint == null)
|
---|
90 | return 1;
|
---|
91 |
|
---|
92 | var s1 = branchPoint.GetSubtree(0);
|
---|
93 | var s2 = branchPoint.GetSubtree(1);
|
---|
94 |
|
---|
95 | // set parents to null because otherwise the bottom-up calculator will throw an exception
|
---|
96 | var p1 = s1.Parent;
|
---|
97 | s1.Parent = null;
|
---|
98 | var p2 = s2.Parent;
|
---|
99 | s2.Parent = null;
|
---|
100 |
|
---|
101 | var m = busCalculator.ComputeBottomUpMapping(s1, s2);
|
---|
102 | var diversity = 1 - 2.0 * m.Count / (s1.GetLength() + s2.GetLength());
|
---|
103 |
|
---|
104 | // restore parents
|
---|
105 | s1.Parent = p1;
|
---|
106 | s2.Parent = p2;
|
---|
107 |
|
---|
108 | return diversity;
|
---|
109 | }
|
---|
110 | }
|
---|
111 | }
|
---|