[3294] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 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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[4068] | 23 | using System.Collections.Generic;
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[3294] | 24 | using System.Linq;
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[4068] | 25 | using System.Text;
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[4722] | 26 | using HeuristicLab.Common;
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[3294] | 27 | using HeuristicLab.Core;
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| 28 | using HeuristicLab.Data;
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[4068] | 29 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols;
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[3294] | 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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[3539] | 32 | namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ArchitectureManipulators {
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[3294] | 33 | /// <summary>
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| 34 | /// Manipulates a symbolic expression by adding one new function-defining branch containing
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| 35 | /// a proportion of a preexisting branch and by creating a reference to the new branch.
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| 36 | /// As described in Koza, Bennett, Andre, Keane, Genetic Programming III - Darwinian Invention and Problem Solving, 1999, pp. 97
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| 37 | /// </summary>
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| 38 | [Item("SubroutineCreater", "Manipulates a symbolic expression by adding one new function-defining branch containing a proportion of a preexisting branch and by creating a reference to the new branch.")]
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| 39 | [StorableClass]
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[3534] | 40 | public sealed class SubroutineCreater : SymbolicExpressionTreeArchitectureManipulator {
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[3360] | 41 | private const double ARGUMENT_CUTOFF_PROBABILITY = 0.05;
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| 42 |
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[4722] | 43 | [StorableConstructor]
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| 44 | private SubroutineCreater(bool deserializing) : base(deserializing) { }
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| 45 | private SubroutineCreater(SubroutineCreater original, Cloner cloner) : base(original, cloner) { }
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| 46 | public SubroutineCreater() : base() { }
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| 47 |
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| 48 | public override IDeepCloneable Clone(Cloner cloner) {
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| 49 | return new SubroutineCreater(this, cloner);
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| 50 | }
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| 51 |
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[3294] | 52 | public override sealed void ModifyArchitecture(
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| 53 | IRandom random,
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| 54 | SymbolicExpressionTree symbolicExpressionTree,
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| 55 | ISymbolicExpressionGrammar grammar,
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| 56 | IntValue maxTreeSize, IntValue maxTreeHeight,
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| 57 | IntValue maxFunctionDefiningBranches, IntValue maxFunctionArguments,
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| 58 | out bool success) {
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| 59 | success = CreateSubroutine(random, symbolicExpressionTree, grammar, maxTreeSize.Value, maxTreeHeight.Value, maxFunctionDefiningBranches.Value, maxFunctionArguments.Value);
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| 60 | }
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| 61 |
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| 62 | public static bool CreateSubroutine(
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| 63 | IRandom random,
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| 64 | SymbolicExpressionTree symbolicExpressionTree,
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| 65 | ISymbolicExpressionGrammar grammar,
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| 66 | int maxTreeSize, int maxTreeHeight,
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| 67 | int maxFunctionDefiningBranches, int maxFunctionArguments) {
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| 68 | var functionDefiningBranches = symbolicExpressionTree.IterateNodesPrefix().OfType<DefunTreeNode>();
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| 69 | if (functionDefiningBranches.Count() >= maxFunctionDefiningBranches)
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| 70 | // allowed maximum number of ADF reached => abort
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| 71 | return false;
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[3360] | 72 | if (symbolicExpressionTree.Size + 4 > maxTreeSize)
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| 73 | // defining a new function causes an size increase by 4 nodes (max) if the max tree size is reached => abort
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| 74 | return false;
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| 75 | string formatString = new StringBuilder().Append('0', (int)Math.Log10(maxFunctionDefiningBranches * 10 - 1)).ToString(); // >= 100 functions => ###
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[3294] | 76 | var allowedFunctionNames = from index in Enumerable.Range(0, maxFunctionDefiningBranches)
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| 77 | select "ADF" + index.ToString(formatString);
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[3360] | 78 |
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| 79 | // select a random body (either the result producing branch or an ADF branch)
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| 80 | var bodies = from node in symbolicExpressionTree.Root.SubTrees
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[3294] | 81 | select new { Tree = node, Size = node.GetSize() };
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| 82 | var totalNumberOfBodyNodes = bodies.Select(x => x.Size).Sum();
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| 83 | int r = random.Next(totalNumberOfBodyNodes);
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| 84 | int aggregatedNumberOfBodyNodes = 0;
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| 85 | SymbolicExpressionTreeNode selectedBody = null;
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| 86 | foreach (var body in bodies) {
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| 87 | aggregatedNumberOfBodyNodes += body.Size;
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| 88 | if (aggregatedNumberOfBodyNodes > r)
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| 89 | selectedBody = body.Tree;
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| 90 | }
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| 91 | // sanity check
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| 92 | if (selectedBody == null) throw new InvalidOperationException();
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[3360] | 93 |
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| 94 | // select a random cut point in the selected branch
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| 95 | var allCutPoints = from parent in selectedBody.IterateNodesPrefix()
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| 96 | from subtree in parent.SubTrees
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| 97 | select new { Parent = parent, ReplacedBranchIndex = parent.SubTrees.IndexOf(subtree), ReplacedBranch = subtree };
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| 98 | if (allCutPoints.Count() == 0)
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[3294] | 99 | // no cut points => abort
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| 100 | return false;
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[3360] | 101 | string newFunctionName = allowedFunctionNames.Except(functionDefiningBranches.Select(x => x.FunctionName)).First();
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| 102 | var selectedCutPoint = allCutPoints.SelectRandom(random);
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[3294] | 103 | // select random branches as argument cut-off points (replaced by argument terminal nodes in the function)
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[3360] | 104 | List<SymbolicExpressionTreeNode> argumentBranches = SelectRandomArgumentBranches(selectedCutPoint.ReplacedBranch, random, ARGUMENT_CUTOFF_PROBABILITY, maxFunctionArguments);
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[3294] | 105 | SymbolicExpressionTreeNode functionBody = selectedCutPoint.ReplacedBranch;
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| 106 | // disconnect the function body from the tree
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| 107 | selectedCutPoint.Parent.RemoveSubTree(selectedCutPoint.ReplacedBranchIndex);
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| 108 | // disconnect the argument branches from the function
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[3360] | 109 | functionBody = DisconnectBranches(functionBody, argumentBranches);
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| 110 | // insert a function invocation symbol instead
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| 111 | var invokeNode = (InvokeFunctionTreeNode)(new InvokeFunction(newFunctionName)).CreateTreeNode();
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[3294] | 112 | selectedCutPoint.Parent.InsertSubTree(selectedCutPoint.ReplacedBranchIndex, invokeNode);
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[3360] | 113 | // add the branches selected as argument as subtrees of the function invocation node
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[3294] | 114 | foreach (var argumentBranch in argumentBranches)
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| 115 | invokeNode.AddSubTree(argumentBranch);
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| 116 |
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| 117 | // insert a new function defining branch
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| 118 | var defunNode = (DefunTreeNode)(new Defun()).CreateTreeNode();
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[3360] | 119 | defunNode.FunctionName = newFunctionName;
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[3294] | 120 | defunNode.AddSubTree(functionBody);
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| 121 | symbolicExpressionTree.Root.AddSubTree(defunNode);
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[3360] | 122 | // the grammar in the newly defined function is a clone of the grammar of the originating branch
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[4249] | 123 | defunNode.SetGrammar((ISymbolicExpressionGrammar)selectedBody.Grammar.Clone());
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[3360] | 124 | // remove all argument symbols from grammar
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| 125 | var oldArgumentSymbols = defunNode.Grammar.Symbols.OfType<Argument>().ToList();
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| 126 | foreach (var oldArgSymb in oldArgumentSymbols)
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| 127 | defunNode.Grammar.RemoveSymbol(oldArgSymb);
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| 128 | // find unique argument indexes and matching symbols in the function defining branch
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| 129 | var newArgumentIndexes = (from node in defunNode.IterateNodesPrefix().OfType<ArgumentTreeNode>()
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| 130 | select node.Symbol.ArgumentIndex).Distinct();
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| 131 | // add argument symbols to grammar of function defining branch
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| 132 | GrammarModifier.AddDynamicArguments(defunNode.Grammar, defunNode.Symbol, newArgumentIndexes);
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| 133 | defunNode.NumberOfArguments = newArgumentIndexes.Count();
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| 134 | if (defunNode.NumberOfArguments != argumentBranches.Count) throw new InvalidOperationException();
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| 135 | // add invoke symbol for newly defined function to the original branch
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| 136 | var allowedParents = from symb in selectedBody.Grammar.Symbols
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| 137 | where !(symb is ProgramRootSymbol)
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| 138 | select symb;
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| 139 | var allowedChildren = from symb in selectedBody.Grammar.Symbols
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| 140 | where selectedBody.Grammar.IsAllowedChild(selectedBody.Symbol, symb, 0)
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| 141 | select symb;
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| 142 | GrammarModifier.AddDynamicSymbol(selectedBody.Grammar, selectedBody.Symbol, defunNode.FunctionName, defunNode.NumberOfArguments);
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| 143 |
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| 144 | // when the new function body was taken from another function definition
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| 145 | // add invoke symbol for newly defined function to all branches that are allowed to invoke the original branch
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| 146 | if (selectedBody.Symbol is Defun) {
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| 147 | var originalFunctionDefinition = selectedBody as DefunTreeNode;
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| 148 | foreach (var subtree in symbolicExpressionTree.Root.SubTrees) {
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| 149 | var originalBranchInvokeSymbol = (from symb in subtree.Grammar.Symbols.OfType<InvokeFunction>()
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| 150 | where symb.FunctionName == originalFunctionDefinition.FunctionName
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| 151 | select symb).SingleOrDefault();
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| 152 | // when the original branch can be invoked from the subtree then also allow invocation of the function
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| 153 | if (originalBranchInvokeSymbol != null) {
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| 154 | allowedParents = from symb in subtree.Grammar.Symbols
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| 155 | where !(symb is ProgramRootSymbol)
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| 156 | select symb;
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| 157 | allowedChildren = from symb in subtree.Grammar.Symbols
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| 158 | where subtree.Grammar.IsAllowedChild(subtree.Symbol, symb, 0)
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| 159 | select symb;
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| 160 | GrammarModifier.AddDynamicSymbol(subtree.Grammar, subtree.Symbol, defunNode.FunctionName, defunNode.NumberOfArguments);
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| 161 | }
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| 162 | }
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[3294] | 163 | }
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| 164 | return true;
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| 165 | }
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| 166 |
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[3360] | 167 | private static SymbolicExpressionTreeNode DisconnectBranches(SymbolicExpressionTreeNode node, List<SymbolicExpressionTreeNode> argumentBranches) {
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| 168 | if (argumentBranches.Contains(node)) {
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| 169 | var argumentIndex = argumentBranches.IndexOf(node);
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| 170 | var argSymbol = new Argument(argumentIndex);
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| 171 | return argSymbol.CreateTreeNode();
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| 172 | }
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[3294] | 173 | // remove the subtrees so that we can clone only the root node
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| 174 | List<SymbolicExpressionTreeNode> subtrees = new List<SymbolicExpressionTreeNode>(node.SubTrees);
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[3985] | 175 | while (node.SubTrees.Count > 0) node.RemoveSubTree(0);
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[3294] | 176 | // recursively apply function for subtrees or append a argument terminal node
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| 177 | foreach (var subtree in subtrees) {
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[3360] | 178 | node.AddSubTree(DisconnectBranches(subtree, argumentBranches));
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[3294] | 179 | }
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| 180 | return node;
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| 181 | }
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| 182 |
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| 183 | private static List<SymbolicExpressionTreeNode> SelectRandomArgumentBranches(SymbolicExpressionTreeNode selectedRoot,
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| 184 | IRandom random,
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[3360] | 185 | double cutProbability,
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[3294] | 186 | int maxArguments) {
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[3360] | 187 | // breadth first determination of argument cut-off points
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| 188 | // we must make sure that we cut off all original argument nodes and that the number of new argument is smaller than the limit
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[3294] | 189 | List<SymbolicExpressionTreeNode> argumentBranches = new List<SymbolicExpressionTreeNode>();
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[3360] | 190 | if (selectedRoot is ArgumentTreeNode) {
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| 191 | argumentBranches.Add(selectedRoot);
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| 192 | return argumentBranches;
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| 193 | } else {
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| 194 | // get the number of argument nodes (which must be cut-off) in the sub-trees
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| 195 | var numberOfArgumentsInSubtrees = (from subtree in selectedRoot.SubTrees
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| 196 | let nArgumentsInTree = subtree.IterateNodesPrefix().OfType<ArgumentTreeNode>().Count()
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| 197 | select nArgumentsInTree).ToList();
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| 198 | // determine the minimal number of new argument nodes for each sub-tree
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| 199 | var minNewArgumentsForSubtrees = numberOfArgumentsInSubtrees.Select(x => x > 0 ? 1 : 0).ToList();
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| 200 | if (minNewArgumentsForSubtrees.Sum() > maxArguments) {
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| 201 | argumentBranches.Add(selectedRoot);
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| 202 | return argumentBranches;
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[3294] | 203 | }
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[3360] | 204 | // cut-off in the sub-trees in random order
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| 205 | var randomIndexes = (from index in Enumerable.Range(0, selectedRoot.SubTrees.Count)
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| 206 | select new { Index = index, OrderValue = random.NextDouble() }).OrderBy(x => x.OrderValue).Select(x => x.Index);
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| 207 | foreach (var subtreeIndex in randomIndexes) {
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| 208 | var subtree = selectedRoot.SubTrees[subtreeIndex];
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| 209 | minNewArgumentsForSubtrees[subtreeIndex] = 0;
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| 210 | // => cut-off at 0..n points somewhere in the current sub-tree
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| 211 | // determine the maximum number of new arguments that should be created in the branch
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| 212 | // as the maximum for the whole branch minus already added arguments minus minimal number of arguments still left
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| 213 | int maxArgumentsFromBranch = maxArguments - argumentBranches.Count - minNewArgumentsForSubtrees.Sum();
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| 214 | // when no argument is allowed from the current branch then we have to include the whole branch into the function
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| 215 | // otherwise: choose randomly wether to cut off immediately or wether to extend the function body into the branch
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| 216 | if (maxArgumentsFromBranch == 0) {
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| 217 | // don't cut at all => the whole sub-tree branch is included in the function body
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| 218 | // (we already checked ahead of time that there are no arguments left over in the subtree)
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| 219 | } else if (random.NextDouble() >= cutProbability) {
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| 220 | argumentBranches.AddRange(SelectRandomArgumentBranches(subtree, random, cutProbability, maxArgumentsFromBranch));
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| 221 | } else {
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| 222 | // cut-off at current sub-tree
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| 223 | argumentBranches.Add(subtree);
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| 224 | }
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| 225 | }
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| 226 | return argumentBranches;
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[3294] | 227 | }
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| 228 | }
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| 229 | }
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| 230 | }
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