[2] | 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 System.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Operators;
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| 28 | using HeuristicLab.Random;
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| 29 | using HeuristicLab.Data;
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| 30 | using HeuristicLab.Constraints;
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| 31 |
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| 32 | namespace HeuristicLab.StructureIdentification {
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| 33 | public class SinglePointCrossOver : OperatorBase {
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| 34 |
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| 35 | public override string Description {
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| 36 | get {
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| 37 | return "TASK";
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| 38 | }
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| 39 | }
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| 40 | public SinglePointCrossOver()
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| 41 | : base() {
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| 42 | AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(MersenneTwister), VariableKind.In));
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| 43 | AddVariableInfo(new VariableInfo("OperatorLibrary", "The operator library containing all available operators", typeof(GPOperatorLibrary), VariableKind.In));
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| 44 | AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
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| 45 | AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
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| 46 | AddVariableInfo(new VariableInfo("OperatorTree", "The tree to mutate", typeof(IOperator), VariableKind.In));
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| 47 | AddVariableInfo(new VariableInfo("TreeSize", "The size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
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| 48 | AddVariableInfo(new VariableInfo("TreeHeight", "The height of the tree", typeof(IntData), VariableKind.In));
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| 49 | }
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| 50 |
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| 51 | public override IOperation Apply(IScope scope) {
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| 52 | MersenneTwister random = GetVariableValue<MersenneTwister>("Random", scope, true);
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| 53 | GPOperatorLibrary opLibrary = GetVariableValue<GPOperatorLibrary>("OperatorLibrary", scope, true);
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| 54 | int maxTreeHeight = GetVariableValue<IntData>("MaxTreeHeight", scope, true).Data;
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| 55 | int maxTreeSize = GetVariableValue<IntData>("MaxTreeSize", scope, true).Data;
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| 56 |
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| 57 | TreeGardener gardener = new TreeGardener(random, opLibrary);
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| 58 |
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| 59 | if((scope.SubScopes.Count % 2) != 0)
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| 60 | throw new InvalidOperationException("Number of parents is not even");
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| 61 |
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| 62 | CompositeOperation initOperations = new CompositeOperation();
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| 63 |
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| 64 | int children = scope.SubScopes.Count / 2;
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| 65 | for(int i = 0; i < children; i++) {
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| 66 | IScope parent1 = scope.SubScopes[0];
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| 67 | scope.RemoveSubScope(parent1);
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| 68 | IScope parent2 = scope.SubScopes[0];
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| 69 | scope.RemoveSubScope(parent2);
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| 70 | IScope child = new Scope(i.ToString());
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| 71 | IOperation childInitOperation = Cross(gardener, maxTreeSize, maxTreeHeight, scope, random, parent1, parent2, child);
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| 72 | initOperations.AddOperation(childInitOperation);
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| 73 | scope.AddSubScope(child);
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| 74 | }
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| 75 |
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| 76 | return initOperations;
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| 77 | }
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| 78 |
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| 79 |
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| 80 | private IOperation Cross(TreeGardener gardener, int maxTreeSize, int maxTreeHeight,
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| 81 | IScope scope, MersenneTwister random, IScope parent1, IScope parent2, IScope child) {
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| 82 | List<IOperator> newOperators;
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| 83 | IOperator newTree = Cross(gardener, parent1, parent2,
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| 84 | random, maxTreeSize, maxTreeHeight, out newOperators);
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| 85 |
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| 86 | if(!gardener.IsValidTree(newTree)) {
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| 87 | throw new InvalidProgramException();
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| 88 | }
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| 89 |
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| 90 | int newTreeSize = gardener.GetTreeSize(newTree);
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| 91 | int newTreeHeight = gardener.GetTreeHeight(newTree);
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| 92 | child.AddVariable(new Variable("OperatorTree", newTree));
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| 93 | child.AddVariable(new Variable("TreeSize", new IntData(newTreeSize)));
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| 94 | child.AddVariable(new Variable("TreeHeight", new IntData(newTreeHeight)));
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| 95 |
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| 96 | // check if the size of the new tree is still in the allowed bounds
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| 97 | if (newTreeHeight > maxTreeHeight ||
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| 98 | newTreeSize > maxTreeSize) {
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| 99 | throw new InvalidProgramException();
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| 100 | }
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| 101 |
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| 102 |
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| 103 | return gardener.CreateInitializationOperation(newOperators, child);
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| 104 | }
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| 105 |
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| 106 |
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| 107 | private IOperator Cross(TreeGardener gardener, IScope f, IScope g, MersenneTwister random, int maxTreeSize, int maxTreeHeight, out List<IOperator> newOperators) {
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| 108 | IOperator tree0 = f.GetVariableValue<IOperator>("OperatorTree", false);
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| 109 | int tree0Height = f.GetVariableValue<IntData>("TreeHeight", false).Data;
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| 110 | int tree0Size = f.GetVariableValue<IntData>("TreeSize", false).Data;
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| 111 |
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| 112 | IOperator tree1 = g.GetVariableValue<IOperator>("OperatorTree", false);
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| 113 | int tree1Height = g.GetVariableValue<IntData>("TreeHeight", false).Data;
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| 114 | int tree1Size = g.GetVariableValue<IntData>("TreeSize", false).Data;
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| 115 |
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| 116 | if(tree0Size == 1 && tree1Size == 1) {
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| 117 | return CombineTerminals(gardener, tree0, tree1, random, maxTreeHeight, out newOperators);
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| 118 | } else {
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| 119 | // we are going to insert tree1 into tree0 at a random place so we have to make sure that tree0 is not a terminal
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| 120 | // in case both trees are higher than 1 we swap the trees with probability 50%
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| 121 | if(tree0Height == 1 || (tree1Height > 1 && random.Next(2) == 0)) {
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| 122 | IOperator tmp = tree0; tree0 = tree1; tree1 = tmp;
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| 123 | int tmpHeight = tree0Height; tree0Height = tree1Height; tree1Height = tmpHeight;
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| 124 | int tmpSize = tree0Size; tree0Size = tree1Size; tree1Size = tmpSize;
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| 125 | }
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| 126 |
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| 127 | // save the root because later on we change tree0 and tree1 while searching a valid tree configuration
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| 128 | IOperator root = tree0;
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| 129 | int rootSize = tree0Size;
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| 130 |
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| 131 | // select a random suboperators of the two trees at a random level
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| 132 | int tree0Level = random.Next(tree0Height - 1); // since we checked before that the height of tree0 is > 1 this is OK
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| 133 | int tree1Level = random.Next(tree1Height);
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| 134 | tree0 = gardener.GetRandomNode(tree0, tree0Level);
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| 135 | tree1 = gardener.GetRandomNode(tree1, tree1Level);
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| 136 |
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| 137 | // recalculate the size and height of tree1 (the one that we want to insert) because we need to check constraints later on
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| 138 | tree1Size = gardener.GetTreeSize(tree1);
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| 139 | tree1Height = gardener.GetTreeHeight(tree1);
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| 140 |
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| 141 | List<int> possibleChildIndices = new List<int>();
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| 142 | TreeGardener.OperatorEqualityComparer comparer = new TreeGardener.OperatorEqualityComparer();
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| 143 |
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| 144 | // Now tree0 is supposed to take tree1 as one if its children. If this is not possible,
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| 145 | // then go down in either of the two trees as far as possible. If even then it is not possible
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| 146 | // to merge the trees then throw an exception
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| 147 | // find the list of allowed indices (regarding allowed sub-operators, maxTreeSize and maxTreeHeight)
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| 148 | for(int i = 0; i < tree0.SubOperators.Count; i++) {
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| 149 | int subOperatorSize = gardener.GetTreeSize(tree0.SubOperators[i]);
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| 150 |
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| 151 | // the index is ok when the operator is allowed as sub-operator and we don't violate the maxSize and maxHeight constraints
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| 152 | if(GetAllowedOperators(tree0, i).Contains(tree1, comparer) &&
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| 153 | rootSize - subOperatorSize + tree1Size < maxTreeSize &&
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| 154 | tree0Level + tree1Height < maxTreeHeight) {
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| 155 | possibleChildIndices.Add(i);
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| 156 | }
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| 157 | }
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| 158 |
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| 159 | while(possibleChildIndices.Count == 0) {
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| 160 | // ok we couln't find a possible configuration given the current tree0 and tree1
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| 161 | // possible reasons for this are:
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| 162 | // - tree1 is not allowed as sub-operator of tree0
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| 163 | // - appending tree1 as child of tree0 would create a tree that exceedes the maxTreeHeight
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| 164 | // - replacing any child of tree0 with tree1 woulde create a tree that exceedes the maxTeeSize
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| 165 | // thus we have to either:
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| 166 | // - go up in tree0 => the insert position allows larger trees
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| 167 | // - go down in tree1 => the tree that is inserted becomes smaller
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| 168 | // - however we have to get lucky to solve the 'allowed sub-operators' problem
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| 169 | if(tree1Height == 1 || (tree0Level>0 && random.Next(2) == 0)) {
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| 170 | // go up in tree0
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| 171 | tree0Level--;
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| 172 | tree0 = gardener.GetRandomNode(root, tree0Level);
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| 173 | } else if(tree1.SubOperators.Count > 0) {
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| 174 | // go down in node2:
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| 175 | tree1 = tree1.SubOperators[random.Next(tree1.SubOperators.Count)];
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| 176 | tree1Size = gardener.GetTreeSize(tree1);
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| 177 | tree1Height = gardener.GetTreeHeight(tree1);
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| 178 | } else {
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| 179 | // could neither go up or down ... don't know what to do ... give up
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| 180 | throw new InvalidProgramException();
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| 181 | }
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| 182 |
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| 183 | // recalculate the list of possible indices
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| 184 | possibleChildIndices.Clear();
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| 185 | for(int i = 0; i < tree0.SubOperators.Count; i++) {
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| 186 | int subOperatorSize = gardener.GetTreeSize(tree0.SubOperators[i]);
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| 187 |
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| 188 | // when the operator is allowed as sub-operator and we don't violate the maxSize and maxHeight constraints
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| 189 | // the index is ok
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| 190 | if(GetAllowedOperators(tree0, i).Contains(tree1, comparer) &&
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| 191 | rootSize - subOperatorSize + tree1Size < maxTreeSize &&
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| 192 | tree0Level + tree1Height < maxTreeHeight) {
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| 193 | possibleChildIndices.Add(i);
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| 194 | }
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| 195 | }
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| 196 | }
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| 197 |
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| 198 | // no possible configuration found this indicates that there is a bigger problem
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| 199 | if(possibleChildIndices.Count == 0) {
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| 200 | throw new InvalidProgramException();
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| 201 | }
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| 202 |
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| 203 | // replace the existing sub-tree at a random index in tree0 with tree1
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| 204 | int selectedIndex = possibleChildIndices[random.Next(possibleChildIndices.Count)];
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| 205 | tree0.RemoveSubOperator(selectedIndex);
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| 206 | tree0.AddSubOperator(tree1, selectedIndex);
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| 207 |
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| 208 | // no new operators where needed
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| 209 | newOperators = new List<IOperator>();
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| 210 | return root;
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| 211 | }
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| 212 | }
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| 213 |
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| 214 | private ICollection<IOperator> GetAllowedOperators(IOperator tree0, int i) {
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| 215 | ItemList slotList = (ItemList)tree0.GetVariable(GPOperatorLibrary.ALLOWED_SUBOPERATORS).Value;
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| 216 | return ((ItemList)slotList[i]).OfType<IOperator>().ToArray();
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| 217 | }
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| 218 |
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| 219 | private IOperator CombineTerminals(TreeGardener gardener, IOperator f, IOperator g, MersenneTwister random, int maxTreeHeight, out List<IOperator> newOperators) {
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| 220 | newOperators = new List<IOperator>();
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| 221 | ICollection<IOperator> possibleParents = gardener.GetPossibleParents(new List<IOperator>() { f, g });
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| 222 | if(possibleParents.Count == 0) throw new InvalidProgramException();
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| 223 |
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| 224 | IOperator parent = (IOperator)possibleParents.ElementAt(random.Next(possibleParents.Count())).Clone();
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| 225 |
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| 226 | int minArity;
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| 227 | int maxArity;
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| 228 | gardener.GetMinMaxArity(parent, out minArity, out maxArity);
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| 229 |
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| 230 | int nSlots = Math.Max(2, minArity);
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| 231 |
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| 232 | HashSet<IOperator>[] slotSets = new HashSet<IOperator>[nSlots];
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| 233 |
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| 234 | SubOperatorsConstraintAnalyser analyser = new SubOperatorsConstraintAnalyser();
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| 235 | analyser.AllPossibleOperators = new List<IOperator>() { g, f };
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| 236 | for(int slot = 0; slot < nSlots; slot++) {
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| 237 | HashSet<IOperator> slotSet = new HashSet<IOperator>(analyser.GetAllowedOperators(parent, slot));
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| 238 | slotSets[slot] = slotSet;
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| 239 | }
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| 240 |
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| 241 | int[] slotSequence = Enumerable.Range(0, slotSets.Count()).OrderBy(slot => slotSets[slot].Count()).ToArray();
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| 242 |
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| 243 | IOperator[] selectedOperators = new IOperator[nSlots];
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| 244 | for(int i = 0; i < slotSequence.Length; i++) {
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| 245 | int slot = slotSequence[i];
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| 246 | HashSet<IOperator> slotSet = slotSets[slot];
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| 247 | if(slotSet.Count() == 0) {
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| 248 | var allowedOperators = GetAllowedOperators(parent, slot);
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| 249 | selectedOperators[slot] = gardener.CreateRandomTree(allowedOperators, 1, 1, true);
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| 250 | newOperators.AddRange(gardener.GetAllOperators(selectedOperators[slot]));
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| 251 | } else {
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| 252 | IOperator selectedOperator = slotSet.ElementAt(random.Next(slotSet.Count()));
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| 253 | selectedOperators[slot] = selectedOperator;
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| 254 | for(int j = i + 1; j < slotSequence.Length; j++) {
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| 255 | int otherSlot = slotSequence[j];
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| 256 | slotSets[otherSlot].Remove(selectedOperator);
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| 257 | }
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| 258 | }
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| 259 | }
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| 260 |
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| 261 | for(int i = 0; i < selectedOperators.Length; i++) {
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| 262 | parent.AddSubOperator(selectedOperators[i], i);
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| 263 | }
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| 264 |
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| 265 | return parent;
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| 266 | }
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| 267 | }
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| 268 | }
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