1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Operators;
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27 | using HeuristicLab.Random;
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28 |
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29 | namespace HeuristicLab.StructureIdentification {
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30 | public class DeleteSubTreeManipulation : OperatorBase {
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31 | public override string Description {
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32 | get {
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33 | return @"Deletes a random sub-tree of the input tree. If the remaining tree is not valid
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34 | the operator tries to fix the tree by generating random subtrees where necessary.";
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35 | }
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36 | }
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37 |
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38 | public DeleteSubTreeManipulation()
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39 | : base() {
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40 | AddVariableInfo(new VariableInfo("Random", "Uniform random number generator", typeof(MersenneTwister), VariableKind.In));
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41 | AddVariableInfo(new VariableInfo("OperatorLibrary", "The operator library containing all available operators", typeof(GPOperatorLibrary), VariableKind.In));
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42 | AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
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43 | AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
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44 | AddVariableInfo(new VariableInfo("OperatorTree", "The tree to mutate", typeof(IOperator), VariableKind.In | VariableKind.Out));
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45 | AddVariableInfo(new VariableInfo("TreeSize", "The size (number of nodes) of the tree", typeof(IntData), VariableKind.In | VariableKind.Out));
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46 | AddVariableInfo(new VariableInfo("TreeHeight", "The height of the tree", typeof(IntData), VariableKind.In | VariableKind.Out));
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47 | }
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48 |
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49 |
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50 | public override IOperation Apply(IScope scope) {
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51 | IOperator rootOperator = GetVariableValue<IOperator>("OperatorTree", scope, true);
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52 | MersenneTwister random = GetVariableValue<MersenneTwister>("Random", scope, true);
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53 | GPOperatorLibrary library = GetVariableValue<GPOperatorLibrary>("OperatorLibrary", scope, true);
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54 |
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55 | TreeGardener gardener = new TreeGardener(random, library);
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56 |
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57 | IOperator parent = gardener.GetRandomParentNode(rootOperator);
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58 |
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59 | // parent==null means the whole tree should be deleted.
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60 | // => return a new minimal random tree
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61 | if(parent == null) {
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62 | IOperator newTree = gardener.CreateRandomTree(1, 1, true);
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63 |
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64 | // check if the tree is ok
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65 | if(!gardener.IsValidTree(newTree)) {
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66 | throw new InvalidOperationException();
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67 | }
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68 |
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69 | // update sizes to match the new tree
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70 | GetVariableValue<IntData>("TreeSize", scope, true).Data = gardener.GetTreeSize(newTree);
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71 | GetVariableValue<IntData>("TreeHeight", scope, true).Data = gardener.GetTreeHeight(newTree);
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72 | scope.GetVariable("OperatorTree").Value = newTree;
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73 |
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74 | // schedule an operation to initialize the newly created operator
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75 | return gardener.CreateInitializationOperation(gardener.GetAllOperators(newTree), scope);
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76 | }
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77 |
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78 | int childIndex = random.Next(parent.SubOperators.Count);
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79 |
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80 | int min;
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81 | int max;
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82 | gardener.GetMinMaxArity(parent, out min, out max);
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83 | if(parent.SubOperators.Count > min) {
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84 | parent.RemoveSubOperator(childIndex);
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85 | // actually since the next suboperators are shifted in the place of the removed operator
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86 | // it might be possible that these suboperators are not allowed in the place of the old operator
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87 | // we ignore this problem for now.
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88 | // when this starts to become a problem a possible solution is to go through the shifted operators from the place of the shifted
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89 | // 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)
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90 |
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91 | if(!gardener.IsValidTree(rootOperator)) {
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92 | throw new InvalidOperationException();
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93 | }
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94 |
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95 | GetVariableValue<IntData>("TreeSize", scope, true).Data = gardener.GetTreeSize(rootOperator);
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96 | GetVariableValue<IntData>("TreeHeight", scope, true).Data = gardener.GetTreeHeight(rootOperator);
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97 | // root hasn't changed so don't need to update 'OperatorTree' variable
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98 |
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99 | return null;
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100 | } else {
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101 | // replace with a minimal random seedling
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102 | parent.RemoveSubOperator(childIndex);
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103 |
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104 | IList<IOperator> allowedOperators = gardener.GetAllowedSubOperators(parent, childIndex);
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105 | IOperator newOperatorTree = gardener.CreateRandomTree(allowedOperators, 1, 1, true);
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106 |
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107 | parent.AddSubOperator(newOperatorTree, childIndex);
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108 |
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109 | if(!gardener.IsValidTree(rootOperator)) {
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110 | throw new InvalidProgramException();
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111 | }
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112 |
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113 | GetVariableValue<IntData>("TreeSize", scope, true).Data = gardener.GetTreeSize(rootOperator);
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114 | GetVariableValue<IntData>("TreeHeight", scope, true).Data = gardener.GetTreeHeight(rootOperator);
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115 | // again the root hasn't changed so we don't need to update the 'OperatorTree' variable
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116 |
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117 | return gardener.CreateInitializationOperation(gardener.GetAllOperators(newOperatorTree), scope);
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118 | }
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119 | }
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120 | }
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121 | }
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