Free cookie consent management tool by TermsFeed Policy Generator

source: branches/GrammaticalEvolution/HeuristicLab.Problems.GrammaticalEvolution/Mappers/DepthFirstMapper.cs @ 10039

Last change on this file since 10039 was 10039, checked in by sawinkle, 11 years ago

#2109:

  • Renamed GEEvaluator.cs to GEArtificialAntEvaluator.cs, because a further Evaluator for the Symbolic Regression problem (single objective) is planned to be implemented.
  • Excluded the mapping process from GEArtificialAntEvaluator.cs and created several separated mapper classes. Created stubs for breath-first, depth-first, random and PIGE mappers. These mapper implementations should later be easily usable together with different problems. The mapper can be selected in the GUI, via a Problem parameter. The depth-first mapper is already usable, the others still cause exceptions.
File size: 5.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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 System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Encodings.IntegerVectorEncoding;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.GrammaticalEvolution {
30  /// <summary>
31  /// DepthFirstMapper
32  /// </summary>
33  [Item("DepthFirstMapper", "")]
34  [StorableClass]
35  public class DepthFirstMapper : GenotypeToPhenotypeMapper {
36   
37    [StorableConstructor]
38    protected DepthFirstMapper(bool deserializing) : base(deserializing) { }
39    protected DepthFirstMapper(DepthFirstMapper original, Cloner cloner) : base(original, cloner) { }
40    public DepthFirstMapper() : base() { }
41
42    public override IDeepCloneable Clone(Cloner cloner) {
43      return new DepthFirstMapper(this, cloner);
44    }
45   
46   
47    /// <summary>
48    /// Maps a genotype (an integer vector) to a phenotype (a symbolic expression tree).
49    /// Depth-first approach.
50    /// </summary>
51    /// <param name="grammar">grammar definition</param>
52    /// <param name="genotype">integer vector, which should be mapped to a tree</param>
53    /// <returns>phenotype (a symbolic expression tree)</returns>
54    public override SymbolicExpressionTree Map(ISymbolicExpressionGrammar grammar,
55                                               IntegerVector genotype) {
56     
57      SymbolicExpressionTree tree = new SymbolicExpressionTree();
58      var rootNode  = (SymbolicExpressionTreeTopLevelNode)grammar.ProgramRootSymbol.CreateTreeNode();
59      var startNode = (SymbolicExpressionTreeTopLevelNode)grammar.StartSymbol.CreateTreeNode();
60      rootNode.AddSubtree(startNode);
61      tree.Root = rootNode;
62     
63      int genotypeIndex    = 0;
64      int currSubtreeCount = 1;
65     
66      MapDepthFirstRecursively(startNode, genotype,
67                               grammar, genotype.Length,
68                               ref genotypeIndex, ref currSubtreeCount);
69     
70      return tree;
71    }
72   
73   
74    /// <summary>
75    /// Genotype-to-Phenotype mapper (recursive depth-first approach).
76    /// Appends maximum allowed children (non-terminal symbols) to
77    /// <paramref name="currentNode"/>, as long as <paramref name="currSubtreeCount"/>
78    /// doesn't exceed <paramref name="maxSubtreeCount"/>.
79    /// If at most <paramref name="maxSubtreeCount"/> subtrees were created,
80    /// each non-full node is filled with randomly chosen nodes
81    /// (non-terminal and terminal), and each non-terminal node is again filled with a terminal node.
82    /// </summary>
83    /// <param name="currentNode">current parent node</param>
84    /// <param name="genotype">integer vector, which should be mapped to a tree</param>
85    /// <param name="grammar">grammar definition to determine the allowed child symbols for currentNode </param>
86    /// <param name="maxSubtreeCount">maximum allowed subtrees (= number of used genomes)</param>
87    /// <param name="genotypeIndex">current index in integer vector</param>
88    /// <param name="currSubtreeCount">number of already determined subtrees (filled or still incomplete)</param>
89    private void MapDepthFirstRecursively(ISymbolicExpressionTreeNode currentNode,
90                                          IntegerVector genotype,
91                                          ISymbolicExpressionGrammar grammar,
92                                          int maxSubtreeCount,
93                                          ref int genotypeIndex,
94                                          ref int currSubtreeCount) {
95      if (currSubtreeCount < maxSubtreeCount) {
96     
97        var newNode = GetNewChildNode(currentNode, genotype, grammar, genotypeIndex);
98       
99        if ((currSubtreeCount + newNode.Symbol.MaximumArity) > maxSubtreeCount) {
100          // TODO: maybe check, if there is any node, which fits in the tree yet
101          currentNode.AddSubtree(GetRandomTerminalNode(currentNode, grammar));
102        } else {
103          currentNode.AddSubtree(newNode);
104          genotypeIndex++;
105          currSubtreeCount += newNode.Symbol.MaximumArity;
106       
107          while (newNode.Symbol.MaximumArity > newNode.SubtreeCount) {
108            MapDepthFirstRecursively(newNode, genotype,
109                                     grammar, maxSubtreeCount,
110                                     ref genotypeIndex, ref currSubtreeCount);
111          }
112        }
113       
114      } else {
115        while (currentNode.Symbol.MaximumArity > currentNode.SubtreeCount) {
116          var newNode = GetNewChildNode(currentNode, genotype, grammar, genotypeIndex);
117          currentNode.AddSubtree(newNode);
118          genotypeIndex++;
119          while (newNode.Symbol.MaximumArity > newNode.SubtreeCount) {
120            newNode.AddSubtree(GetRandomTerminalNode(newNode, grammar));
121          }
122        }
123      }
124    }
125  }
126}
Note: See TracBrowser for help on using the repository browser.