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source: branches/CEDMA-Exporter-715/sources/HeuristicLab.GP/3.3/Manipulation/DeleteSubTreeManipulation.cs @ 2273

Last change on this file since 2273 was 656, checked in by gkronber, 16 years ago

merged changesets r644:647 and r651:655 from the GpPluginsRefactoringBranch back into the trunk (#177)

File size: 5.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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 System.Collections.Generic;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Operators;
27using HeuristicLab.Random;
28using System.Diagnostics;
29
30namespace HeuristicLab.GP {
31  public class DeleteSubTreeManipulation : OperatorBase {
32    public override string Description {
33      get {
34        return @"Deletes a random sub-tree of the input tree. If the remaining tree is not valid
35the operator tries to fix the tree by generating random subtrees where necessary.";
36      }
37    }
38
39    public DeleteSubTreeManipulation()
40      : base() {
41      AddVariableInfo(new VariableInfo("Random", "Uniform random number generator", typeof(MersenneTwister), VariableKind.In));
42      AddVariableInfo(new VariableInfo("OperatorLibrary", "The operator library containing all available operators", typeof(GPOperatorLibrary), VariableKind.In));
43      AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
44      AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
45      AddVariableInfo(new VariableInfo("FunctionTree", "The tree to mutate", typeof(IFunctionTree), VariableKind.In | VariableKind.Out));
46      AddVariableInfo(new VariableInfo("TreeSize", "The size (number of nodes) of the tree", typeof(IntData), VariableKind.In | VariableKind.Out));
47      AddVariableInfo(new VariableInfo("TreeHeight", "The height of the tree", typeof(IntData), VariableKind.In | VariableKind.Out));
48    }
49
50
51    public override IOperation Apply(IScope scope) {
52      IFunctionTree root = GetVariableValue<IFunctionTree>("FunctionTree", scope, true);
53      MersenneTwister random = GetVariableValue<MersenneTwister>("Random", scope, true);
54      GPOperatorLibrary library = GetVariableValue<GPOperatorLibrary>("OperatorLibrary", scope, true);
55      TreeGardener gardener = new TreeGardener(random, library);
56      IFunctionTree parent = gardener.GetRandomParentNode(root);
57
58      // parent==null means the whole tree should be deleted.
59      // => return a new minimal random tree
60      if(parent == null) {
61        IFunctionTree newTree = gardener.CreateBalancedRandomTree(1, 1);
62        // check if the tree is ok
63        Debug.Assert(gardener.IsValidTree(newTree));
64        // update sizes to match the new tree
65        GetVariableValue<IntData>("TreeSize", scope, true).Data = newTree.Size;
66        GetVariableValue<IntData>("TreeHeight", scope, true).Data = newTree.Height;
67        scope.GetVariable(scope.TranslateName("FunctionTree")).Value = newTree;
68
69        // schedule an operation to initialize the newly created operator
70        return gardener.CreateInitializationOperation(gardener.GetAllSubTrees(newTree), scope);
71      }
72
73      // select a branch to prune
74      int childIndex = random.Next(parent.SubTrees.Count);
75      if(parent.SubTrees.Count > parent.Function.MinArity) {
76        parent.RemoveSubTree(childIndex);
77        // actually since the next sub-trees are shifted in the place of the removed branch
78        // it might be possible that these sub-trees are not allowed in the place of the old branch
79        // we ignore this problem for now.
80        // when this starts to become a problem a possible solution is to go through the shifted branches from the place of the shifted
81        // and find the first one that doesn't fit. At this position we insert a new randomly initialized subtree of matching type (gkronber 25.12.07)
82
83        Debug.Assert(gardener.IsValidTree(root));
84        GetVariableValue<IntData>("TreeSize", scope, true).Data = root.Size;
85        GetVariableValue<IntData>("TreeHeight", scope, true).Data = root.Height;
86        // root hasn't changed so don't need to update 'FunctionTree' variable
87        return null;
88      } else {
89        // replace with a minimal random seedling
90        parent.RemoveSubTree(childIndex);
91        ICollection<IFunction> allowedFunctions = gardener.GetAllowedSubFunctions(parent.Function, childIndex);
92        IFunctionTree newFunctionTree = gardener.CreateRandomTree(allowedFunctions, 1, 1);
93        parent.InsertSubTree(childIndex, newFunctionTree);
94        Debug.Assert(gardener.IsValidTree(root));
95        GetVariableValue<IntData>("TreeSize", scope, true).Data = root.Size;
96        GetVariableValue<IntData>("TreeHeight", scope, true).Data = root.Height;
97        // again the root hasn't changed so we don't need to update the 'FunctionTree' variable
98        // but we have to return an initialization operation for the newly created tree
99        return gardener.CreateInitializationOperation(gardener.GetAllSubTrees(newFunctionTree), scope);
100      }
101    }
102  }
103}
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