#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Random;
namespace HeuristicLab.Algorithms.TabuSearch {
[Item("Tabu Search", "A tabu search algorithm.")]
[Creatable("Algorithms")]
[StorableClass]
public sealed class TabuSearch : EngineAlgorithm, IStorableContent {
public string Filename { get; set; }
#region Problem Properties
public override Type ProblemType {
get { return typeof(ISingleObjectiveProblem); }
}
public new ISingleObjectiveProblem Problem {
get { return (ISingleObjectiveProblem)base.Problem; }
set { base.Problem = value; }
}
#endregion
#region Parameter Properties
private ValueParameter SeedParameter {
get { return (ValueParameter)Parameters["Seed"]; }
}
private ValueParameter SetSeedRandomlyParameter {
get { return (ValueParameter)Parameters["SetSeedRandomly"]; }
}
private ConstrainedValueParameter MoveGeneratorParameter {
get { return (ConstrainedValueParameter)Parameters["MoveGenerator"]; }
}
private ConstrainedValueParameter MoveMakerParameter {
get { return (ConstrainedValueParameter)Parameters["MoveMaker"]; }
}
private ConstrainedValueParameter MoveEvaluatorParameter {
get { return (ConstrainedValueParameter)Parameters["MoveEvaluator"]; }
}
private ConstrainedValueParameter TabuCheckerParameter {
get { return (ConstrainedValueParameter)Parameters["TabuChecker"]; }
}
private ConstrainedValueParameter TabuMakerParameter {
get { return (ConstrainedValueParameter)Parameters["TabuMaker"]; }
}
private ValueParameter TabuTenureParameter {
get { return (ValueParameter)Parameters["TabuTenure"]; }
}
private ValueParameter MaximumIterationsParameter {
get { return (ValueParameter)Parameters["MaximumIterations"]; }
}
private ValueParameter SampleSizeParameter {
get { return (ValueParameter)Parameters["SampleSize"]; }
}
private ValueParameter AnalyzerParameter {
get { return (ValueParameter)Parameters["Analyzer"]; }
}
#endregion
#region Properties
public IntValue Seed {
get { return SeedParameter.Value; }
set { SeedParameter.Value = value; }
}
public BoolValue SetSeedRandomly {
get { return SetSeedRandomlyParameter.Value; }
set { SetSeedRandomlyParameter.Value = value; }
}
public IMoveGenerator MoveGenerator {
get { return MoveGeneratorParameter.Value; }
set { MoveGeneratorParameter.Value = value; }
}
public IMoveMaker MoveMaker {
get { return MoveMakerParameter.Value; }
set { MoveMakerParameter.Value = value; }
}
public ISingleObjectiveMoveEvaluator MoveEvaluator {
get { return MoveEvaluatorParameter.Value; }
set { MoveEvaluatorParameter.Value = value; }
}
public ITabuChecker TabuChecker {
get { return TabuCheckerParameter.Value; }
set { TabuCheckerParameter.Value = value; }
}
public ITabuMaker TabuMaker {
get { return TabuMakerParameter.Value; }
set { TabuMakerParameter.Value = value; }
}
public IntValue TabuTenure {
get { return TabuTenureParameter.Value; }
set { TabuTenureParameter.Value = value; }
}
public IntValue MaximumIterations {
get { return MaximumIterationsParameter.Value; }
set { MaximumIterationsParameter.Value = value; }
}
public MultiAnalyzer Analyzer {
get { return AnalyzerParameter.Value; }
set { AnalyzerParameter.Value = value; }
}
private RandomCreator RandomCreator {
get { return (RandomCreator)OperatorGraph.InitialOperator; }
}
private SolutionsCreator SolutionsCreator {
get { return (SolutionsCreator)RandomCreator.Successor; }
}
private TabuSearchMainLoop MainLoop {
get { return (TabuSearchMainLoop)SolutionsCreator.Successor; }
}
[Storable]
private BestAverageWorstQualityAnalyzer moveQualityAnalyzer;
[Storable]
private TabuNeighborhoodAnalyzer tabuNeighborhoodAnalyzer;
#endregion
public TabuSearch()
: base() {
Parameters.Add(new ValueParameter("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ConstrainedValueParameter("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
Parameters.Add(new ConstrainedValueParameter("MoveMaker", "The operator used to perform a move."));
Parameters.Add(new ConstrainedValueParameter("MoveEvaluator", "The operator used to evaluate a move."));
Parameters.Add(new ConstrainedValueParameter("TabuChecker", "The operator to check whether a move is tabu or not."));
Parameters.Add(new ConstrainedValueParameter("TabuMaker", "The operator used to insert attributes of a move into the tabu list."));
Parameters.Add(new ValueParameter("TabuTenure", "The length of the tabu list.", new IntValue(10)));
Parameters.Add(new ValueParameter("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(1000)));
Parameters.Add(new ValueParameter("SampleSize", "The neighborhood size for stochastic sampling move generators", new IntValue(100)));
Parameters.Add(new ValueParameter("Analyzer", "The operator used to analyze the solution.", new MultiAnalyzer()));
RandomCreator randomCreator = new RandomCreator();
SolutionsCreator solutionsCreator = new SolutionsCreator();
TabuSearchMainLoop tsMainLoop = new TabuSearchMainLoop();
OperatorGraph.InitialOperator = randomCreator;
randomCreator.RandomParameter.ActualName = "Random";
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SeedParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.Successor = solutionsCreator;
solutionsCreator.NumberOfSolutions = new IntValue(1);
solutionsCreator.Successor = tsMainLoop;
tsMainLoop.MoveGeneratorParameter.ActualName = MoveGeneratorParameter.Name;
tsMainLoop.MoveMakerParameter.ActualName = MoveMakerParameter.Name;
tsMainLoop.MoveEvaluatorParameter.ActualName = MoveEvaluatorParameter.Name;
tsMainLoop.TabuCheckerParameter.ActualName = TabuCheckerParameter.Name;
tsMainLoop.TabuMakerParameter.ActualName = TabuMakerParameter.Name;
tsMainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
tsMainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
tsMainLoop.ResultsParameter.ActualName = "Results";
tsMainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
moveQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
tabuNeighborhoodAnalyzer = new TabuNeighborhoodAnalyzer();
ParameterizeAnalyzers();
UpdateAnalyzers();
Initialize();
}
[StorableConstructor]
private TabuSearch(bool deserializing) : base(deserializing) { }
public override IDeepCloneable Clone(Cloner cloner) {
TabuSearch clone = (TabuSearch)base.Clone(cloner);
clone.moveQualityAnalyzer = (BestAverageWorstQualityAnalyzer)cloner.Clone(moveQualityAnalyzer);
clone.tabuNeighborhoodAnalyzer = (TabuNeighborhoodAnalyzer)cloner.Clone(tabuNeighborhoodAnalyzer);
clone.Initialize();
return clone;
}
public override void Prepare() {
if (Problem != null && MoveGenerator != null && MoveMaker != null && MoveEvaluator != null &&
TabuChecker != null && TabuMaker != null)
base.Prepare();
}
#region Events
protected override void OnProblemChanged() {
ParameterizeStochasticOperator(Problem.SolutionCreator);
ParameterizeStochasticOperator(Problem.Evaluator);
foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType()) {
op.MoveQualityParameter.ActualNameChanged += new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
}
foreach (ITabuChecker op in Problem.Operators.OfType()) {
op.MoveTabuParameter.ActualNameChanged += new EventHandler(TabuChecker_MoveTabuParameter_ActualNameChanged);
}
ParameterizeSolutionsCreator();
ParameterizeMainLoop();
UpdateMoveGenerator();
UpdateMoveParameters();
UpdateAnalyzers();
ParameterizeMoveGenerators();
ParameterizeMoveEvaluator();
ParameterizeMoveMaker();
ParameterizeTabuMaker();
ParameterizeTabuChecker();
ParameterizeAnalyzers();
ParameterizeIterationBasedOperators();
Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
base.OnProblemChanged();
}
protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
ParameterizeStochasticOperator(Problem.SolutionCreator);
ParameterizeSolutionsCreator();
base.Problem_SolutionCreatorChanged(sender, e);
}
protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
ParameterizeStochasticOperator(Problem.Evaluator);
ParameterizeSolutionsCreator();
ParameterizeMainLoop();
ParameterizeMoveEvaluator();
ParameterizeMoveMaker();
ParameterizeTabuMaker();
ParameterizeTabuChecker();
ParameterizeAnalyzers();
Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
base.Problem_EvaluatorChanged(sender, e);
}
protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
// This may seem pointless, but some operators already have the eventhandler registered, others don't
// FIXME: Is there another way to solve this problem?
foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType()) {
op.MoveQualityParameter.ActualNameChanged -= new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
op.MoveQualityParameter.ActualNameChanged += new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
}
foreach (ITabuChecker op in Problem.Operators.OfType()) {
op.MoveTabuParameter.ActualNameChanged -= new EventHandler(TabuChecker_MoveTabuParameter_ActualNameChanged);
op.MoveTabuParameter.ActualNameChanged += new EventHandler(TabuChecker_MoveTabuParameter_ActualNameChanged);
}
UpdateMoveGenerator();
UpdateMoveParameters();
UpdateAnalyzers();
ParameterizeMainLoop();
ParameterizeMoveGenerators();
ParameterizeMoveEvaluator();
ParameterizeMoveMaker();
ParameterizeTabuMaker();
ParameterizeTabuChecker();
ParameterizeAnalyzers();
ParameterizeIterationBasedOperators();
base.Problem_OperatorsChanged(sender, e);
}
private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
ParameterizeMainLoop();
ParameterizeMoveEvaluator();
ParameterizeMoveMaker();
ParameterizeTabuMaker();
ParameterizeTabuChecker();
}
private void MoveGeneratorParameter_ValueChanged(object sender, EventArgs e) {
UpdateMoveParameters();
}
private void MoveEvaluatorParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeMainLoop();
ParameterizeMoveEvaluator();
ParameterizeMoveMaker();
ParameterizeTabuMaker();
ParameterizeTabuChecker();
ParameterizeAnalyzers();
}
private void MoveEvaluator_MoveQualityParameter_ActualNameChanged(object sender, EventArgs e) {
ParameterizeMainLoop();
ParameterizeMoveEvaluator();
ParameterizeMoveMaker();
ParameterizeTabuMaker();
ParameterizeTabuChecker();
ParameterizeAnalyzers();
}
private void TabuCheckerParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeMainLoop();
ParameterizeAnalyzers();
}
private void TabuChecker_MoveTabuParameter_ActualNameChanged(object sender, EventArgs e) {
ParameterizeMainLoop();
ParameterizeAnalyzers();
}
private void SampleSizeParameter_NameChanged(object sender, EventArgs e) {
ParameterizeMoveGenerators();
}
#endregion
#region Helpers
[StorableHook(HookType.AfterDeserialization)]
private void Initialize() {
if (Problem != null) {
Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType()) {
op.MoveQualityParameter.ActualNameChanged += new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
}
}
MoveGeneratorParameter.ValueChanged += new EventHandler(MoveGeneratorParameter_ValueChanged);
MoveEvaluatorParameter.ValueChanged += new EventHandler(MoveEvaluatorParameter_ValueChanged);
TabuCheckerParameter.ValueChanged += new EventHandler(TabuCheckerParameter_ValueChanged);
SampleSizeParameter.NameChanged += new EventHandler(SampleSizeParameter_NameChanged);
}
private void UpdateMoveGenerator() {
IMoveGenerator oldMoveGenerator = MoveGenerator;
MoveGeneratorParameter.ValidValues.Clear();
if (Problem != null) {
foreach (IMoveGenerator generator in Problem.Operators.OfType().OrderBy(x => x.Name)) {
MoveGeneratorParameter.ValidValues.Add(generator);
}
}
if (oldMoveGenerator != null && MoveGeneratorParameter.ValidValues.Any(x => x.GetType() == oldMoveGenerator.GetType()))
MoveGenerator = MoveGeneratorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveGenerator.GetType());
if (MoveGenerator == null) {
ClearMoveParameters();
}
}
private void UpdateMoveParameters() {
IMoveMaker oldMoveMaker = MoveMaker;
ISingleObjectiveMoveEvaluator oldMoveEvaluator = MoveEvaluator;
ITabuChecker oldTabuMoveEvaluator = TabuChecker;
ITabuMaker oldTabuMoveMaker = TabuMaker;
ClearMoveParameters();
if (MoveGenerator != null) {
List moveTypes = MoveGenerator.GetType().GetInterfaces().Where(x => typeof(IMoveOperator).IsAssignableFrom(x)).ToList();
foreach (Type type in moveTypes.ToList()) {
if (moveTypes.Any(t => t != type && type.IsAssignableFrom(t)))
moveTypes.Remove(type);
}
foreach (Type type in moveTypes) {
var operators = Problem.Operators.Where(x => type.IsAssignableFrom(x.GetType())).OrderBy(x => x.Name);
foreach (IMoveMaker moveMaker in operators.OfType())
MoveMakerParameter.ValidValues.Add(moveMaker);
foreach (ISingleObjectiveMoveEvaluator moveEvaluator in operators.OfType())
MoveEvaluatorParameter.ValidValues.Add(moveEvaluator);
foreach (ITabuChecker tabuMoveEvaluator in operators.OfType())
TabuCheckerParameter.ValidValues.Add(tabuMoveEvaluator);
foreach (ITabuMaker tabuMoveMaker in operators.OfType())
TabuMakerParameter.ValidValues.Add(tabuMoveMaker);
}
if (oldMoveMaker != null) {
IMoveMaker mm = MoveMakerParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveMaker.GetType());
if (mm != null) MoveMaker = mm;
}
if (oldMoveEvaluator != null) {
ISingleObjectiveMoveEvaluator me = MoveEvaluatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveEvaluator.GetType());
if (me != null) MoveEvaluator = me;
}
if (oldTabuMoveMaker != null) {
ITabuMaker tmm = TabuMakerParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldTabuMoveMaker.GetType());
if (tmm != null) TabuMaker = tmm;
}
if (oldTabuMoveEvaluator != null) {
ITabuChecker tme = TabuCheckerParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldTabuMoveEvaluator.GetType());
if (tme != null) TabuChecker = tme;
}
}
}
private void UpdateAnalyzers() {
Analyzer.Operators.Clear();
if (Problem != null) {
foreach (IAnalyzer analyzer in Problem.Operators.OfType()) {
foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType())
param.Depth = 0;
Analyzer.Operators.Add(analyzer);
}
}
Analyzer.Operators.Add(moveQualityAnalyzer);
Analyzer.Operators.Add(tabuNeighborhoodAnalyzer);
}
private void ClearMoveParameters() {
MoveMakerParameter.ValidValues.Clear();
MoveEvaluatorParameter.ValidValues.Clear();
TabuCheckerParameter.ValidValues.Clear();
TabuMakerParameter.ValidValues.Clear();
}
private void ParameterizeSolutionsCreator() {
SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
}
private void ParameterizeMainLoop() {
MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
if (MoveEvaluator != null)
MainLoop.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
if (TabuChecker != null)
MainLoop.MoveTabuParameter.ActualName = TabuChecker.MoveTabuParameter.ActualName;
}
private void ParameterizeStochasticOperator(IOperator op) {
if (op is IStochasticOperator)
((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
}
private void ParameterizeMoveGenerators() {
if (Problem != null) {
foreach (IMultiMoveGenerator generator in Problem.Operators.OfType())
generator.SampleSizeParameter.ActualName = SampleSizeParameter.Name;
}
}
private void ParameterizeMoveEvaluator() {
foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType()) {
op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
}
}
private void ParameterizeMoveMaker() {
foreach (IMoveMaker op in Problem.Operators.OfType()) {
op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
if (MoveEvaluator != null)
op.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
}
}
private void ParameterizeTabuMaker() {
foreach (ITabuMaker op in Problem.Operators.OfType()) {
op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
if (MoveEvaluator != null)
op.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
}
}
private void ParameterizeTabuChecker() {
foreach (ITabuChecker op in Problem.Operators.OfType()) {
if (MoveEvaluator != null)
op.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
if (TabuChecker != null)
op.MoveTabuParameter.ActualName = TabuChecker.MoveTabuParameter.ActualName;
}
}
private void ParameterizeAnalyzers() {
moveQualityAnalyzer.ResultsParameter.ActualName = "Results";
tabuNeighborhoodAnalyzer.ResultsParameter.ActualName = "Results";
tabuNeighborhoodAnalyzer.PercentTabuParameter.ActualName = "PercentTabu";
if (Problem != null) {
moveQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
if (MoveEvaluator != null)
moveQualityAnalyzer.QualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
moveQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
if (TabuChecker != null)
tabuNeighborhoodAnalyzer.IsTabuParameter.ActualName = TabuChecker.MoveTabuParameter.ActualName;
}
}
private void ParameterizeIterationBasedOperators() {
if (Problem != null) {
foreach (IIterationBasedOperator op in Problem.Operators.OfType()) {
op.IterationsParameter.ActualName = "Iterations";
op.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
}
}
}
#endregion
}
}