#region License Information /* HeuristicLab * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding { /// /// A base class for operators that manipulate real-valued vectors. /// [Item("TracingSymbolicExpressionTreeManipulator", "A base class for operators that manipulate symbolic expression trees.")] [StorableClass] public abstract class TracingSymbolicExpressionTreeManipulator : TracingSymbolicExpressionTreeOperator, ISymbolicExpressionTreeManipulator { private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree"; [Storable] private readonly Dictionary manipulationTypes = new Dictionary(); #region Parameter Properties public ILookupParameter SymbolicExpressionTreeParameter { get { return (ILookupParameter)Parameters[SymbolicExpressionTreeParameterName]; } } #endregion #region Properties public ISymbolicExpressionTree SymbolicExpressionTree { get { return SymbolicExpressionTreeParameter.ActualValue; } } #endregion [StorableConstructor] protected TracingSymbolicExpressionTreeManipulator(bool deserializing) : base(deserializing) { } protected TracingSymbolicExpressionTreeManipulator(TracingSymbolicExpressionTreeManipulator original, Cloner cloner) : base(original, cloner) { this.manipulationTypes = new Dictionary(original.manipulationTypes); } public TracingSymbolicExpressionTreeManipulator() : base() { Parameters.Add(new LookupParameter(SymbolicExpressionTreeParameterName, "The symbolic expression tree on which the operator should be applied.")); manipulationTypes.Add(typeof(FullTreeShaker), ManipulationType.FullTreeShaker); manipulationTypes.Add(typeof(OnePointShaker), ManipulationType.OnePointShaker); manipulationTypes.Add(typeof(ChangeNodeTypeManipulation), ManipulationType.ChangeNodeTypeManipulation); manipulationTypes.Add(typeof(ReplaceBranchManipulation), ManipulationType.ReplaceBranchManipulation); manipulationTypes.Add(typeof(RemoveBranchManipulation), ManipulationType.RemoveBranchManipulation); } public sealed override IOperation Apply() { ISymbolicExpressionTree tree = SymbolicExpressionTreeParameter.ActualValue; AddTracingVariablesToGlobalScope(); /* The following block needs to be explained in more detail; * If the tree was already affected by crossover (before mutation), then: * - it will already be contained in the GlobalTraceMap * - In order to preserve information, a clone of the tree is created * - The clone represents the intermediate stage of the tree, before mutation is applied * - The clone therefore represents the child after crossover so GlobalTraceMap[clone] will get tree's parents * and GlobalFragmentMap[clone] will get the subtree from clone that represents the cloned fragment * - After tree is mutated, we set GlobalTraceMap[tree] = clone and GlobalFragmentMap[tree] = modified node from tree */ Fragment fragment = null; if (GlobalTraceMap.ContainsKey(tree)) { var clone = (IItem)tree.Clone(); GlobalCloneMap[clone] = GlobalCloneMap[tree]; GlobalCloneMap[tree] = clone; GlobalTraceMap[clone] = GlobalTraceMap[tree]; // clone gets parents of tree GlobalTraceMap[tree] = new ItemList { clone }; // tree gets clone as parent fragment = (Fragment)GlobalFragmentMap[tree]; int index = tree.IterateNodesBreadth().ToList().IndexOf(fragment.Root); // returns -1 if fragment is not present in tree (can happen if fragment is null) GlobalFragmentMap[clone] = new Fragment(index == -1 ? null : ((ISymbolicExpressionTree)clone).IterateNodesBreadth().ElementAt(index)); } else { GlobalTraceMap[tree] = new ItemList { GlobalCloneMap[tree] }; } var comparer = SymbolicExpressionTreeNodeComparer; var clonedTree = (ISymbolicExpressionTree)tree.Clone(); var nodes0 = clonedTree.IterateNodesBreadth().ToList(); Manipulate(RandomParameter.ActualValue, tree); var nodes1 = tree.IterateNodesBreadth().ToList(); int min = Math.Min(nodes0.Count, nodes1.Count); int i = 0; while (i != min && comparer.Equals(nodes0[i], nodes1[i])) ++i; fragment = new Fragment(i == min ? null : nodes1[i], 1); GlobalFragmentMap[tree] = fragment; return base.Apply(); } protected abstract void Manipulate(IRandom random, ISymbolicExpressionTree symbolicExpressionTree); private struct ManipulationType { public const byte FullTreeShaker = 1; public const byte OnePointShaker = 2; public const byte ChangeNodeTypeManipulation = 3; public const byte ReplaceBranchManipulation = 4; public const byte RemoveBranchManipulation = 5; } } }