#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.Drawing; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.BinaryVectorEncoding; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.PluginInfrastructure; namespace HeuristicLab.Problems.OneMax { [Item("OneMax Problem", "Represents a OneMax Problem.")] [Creatable("Problems")] [StorableClass] public sealed class OneMaxProblem : ParameterizedNamedItem, ISingleObjectiveProblem, IStorableContent { public string Filename { get; set; } public override Image ItemImage { get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; } } #region Parameter Properties public ValueParameter MaximizationParameter { get { return (ValueParameter)Parameters["Maximization"]; } } IParameter ISingleObjectiveProblem.MaximizationParameter { get { return MaximizationParameter; } } public ValueParameter LengthParameter { get { return (ValueParameter)Parameters["Length"]; } } public ValueParameter SolutionCreatorParameter { get { return (ValueParameter)Parameters["SolutionCreator"]; } } IParameter IProblem.SolutionCreatorParameter { get { return SolutionCreatorParameter; } } public ValueParameter EvaluatorParameter { get { return (ValueParameter)Parameters["Evaluator"]; } } IParameter IProblem.EvaluatorParameter { get { return EvaluatorParameter; } } public ValueParameter BestKnownQualityParameter { get { return (ValueParameter)Parameters["BestKnownQuality"]; } } IParameter ISingleObjectiveProblem.BestKnownQualityParameter { get { return BestKnownQualityParameter; } } #endregion #region Properties public IntValue Length { get { return LengthParameter.Value; } set { LengthParameter.Value = value; } } public IBinaryVectorCreator SolutionCreator { get { return SolutionCreatorParameter.Value; } set { SolutionCreatorParameter.Value = value; } } ISolutionCreator IProblem.SolutionCreator { get { return SolutionCreatorParameter.Value; } } public IOneMaxEvaluator Evaluator { get { return EvaluatorParameter.Value; } set { EvaluatorParameter.Value = value; } } ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator { get { return EvaluatorParameter.Value; } } IEvaluator IProblem.Evaluator { get { return EvaluatorParameter.Value; } } public DoubleValue BestKnownQuality { get { return BestKnownQualityParameter.Value; } } public IEnumerable Operators { get { return operators.Cast(); } } private BestOneMaxSolutionAnalyzer BestOneMaxSolutionAnalyzer { get { return operators.OfType().FirstOrDefault(); } } #endregion [Storable] private List operators; [StorableConstructor] private OneMaxProblem(bool deserializing) : base(deserializing) { } public OneMaxProblem() : base() { RandomBinaryVectorCreator creator = new RandomBinaryVectorCreator(); OneMaxEvaluator evaluator = new OneMaxEvaluator(); Parameters.Add(new ValueParameter("Maximization", "Set to true as the OneMax Problem is a maximization problem.", new BoolValue(true))); Parameters.Add(new ValueParameter("Length", "The length of the BinaryVector.", new IntValue(5))); Parameters.Add(new ValueParameter("SolutionCreator", "The operator which should be used to create new OneMax solutions.", creator)); Parameters.Add(new ValueParameter("Evaluator", "The operator which should be used to evaluate OneMax solutions.", evaluator)); Parameters.Add(new ValueParameter("BestKnownQuality", "The quality of the best known solution of this OneMax instance.", new DoubleValue(5))); creator.BinaryVectorParameter.ActualName = "OneMaxSolution"; evaluator.QualityParameter.ActualName = "NumberOfOnes"; ParameterizeSolutionCreator(); ParameterizeEvaluator(); InitializeOperators(); AttachEventHandlers(); } public override IDeepCloneable Clone(Cloner cloner) { OneMaxProblem clone = (OneMaxProblem)base.Clone(cloner); clone.operators = operators.Select(x => (IOperator)cloner.Clone(x)).ToList(); clone.AttachEventHandlers(); return clone; } #region Events public event EventHandler SolutionCreatorChanged; private void OnSolutionCreatorChanged() { EventHandler handler = SolutionCreatorChanged; if (handler != null) handler(this, EventArgs.Empty); } public event EventHandler EvaluatorChanged; private void OnEvaluatorChanged() { EventHandler handler = EvaluatorChanged; if (handler != null) handler(this, EventArgs.Empty); } public event EventHandler OperatorsChanged; private void OnOperatorsChanged() { EventHandler handler = OperatorsChanged; if (handler != null) handler(this, EventArgs.Empty); } public event EventHandler Reset; private void OnReset() { EventHandler handler = Reset; if (handler != null) handler(this, EventArgs.Empty); } private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) { SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged); ParameterizeSolutionCreator(); ParameterizeEvaluator(); ParameterizeAnalyzer(); ParameterizeOperators(); OnSolutionCreatorChanged(); } private void SolutionCreator_BinaryVectorParameter_ActualNameChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzer(); ParameterizeOperators(); } private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzer(); OnEvaluatorChanged(); } void LengthParameter_ValueChanged(object sender, EventArgs e) { ParameterizeSolutionCreator(); LengthParameter.Value.ValueChanged += new EventHandler(Length_ValueChanged); BestKnownQualityParameter.Value.Value = Length.Value; } void Length_ValueChanged(object sender, EventArgs e) { BestKnownQualityParameter.Value.Value = Length.Value; } void BestKnownQualityParameter_ValueChanged(object sender, EventArgs e) { BestKnownQualityParameter.Value.Value = Length.Value; } void OneBitflipMoveParameter_ActualNameChanged(object sender, EventArgs e) { string name = ((ILookupParameter)sender).ActualName; foreach (IOneBitflipMoveOperator op in Operators.OfType()) { op.OneBitflipMoveParameter.ActualName = name; } } #endregion #region Helpers [StorableHook(HookType.AfterDeserialization)] private void AfterDeserializationHook() { // BackwardsCompatibility3.3 #region Backwards compatible code (remove with 3.4) if (operators == null) InitializeOperators(); #endregion AttachEventHandlers(); } private void AttachEventHandlers() { SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged); SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged); EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged); LengthParameter.ValueChanged += new EventHandler(LengthParameter_ValueChanged); LengthParameter.Value.ValueChanged += new EventHandler(Length_ValueChanged); BestKnownQualityParameter.ValueChanged += new EventHandler(BestKnownQualityParameter_ValueChanged); } private void ParameterizeSolutionCreator() { SolutionCreator.LengthParameter.ActualName = LengthParameter.Name; } private void ParameterizeEvaluator() { if (Evaluator is OneMaxEvaluator) ((OneMaxEvaluator)Evaluator).BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; } private void ParameterizeAnalyzer() { BestOneMaxSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name; BestOneMaxSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name; BestOneMaxSolutionAnalyzer.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; BestOneMaxSolutionAnalyzer.ResultsParameter.ActualName = "Results"; } private void InitializeOperators() { operators = new List(); operators.Add(new BestOneMaxSolutionAnalyzer()); ParameterizeAnalyzer(); foreach(IBinaryVectorOperator op in ApplicationManager.Manager.GetInstances()) { if (!(op is ISingleObjectiveMoveEvaluator) || (op is IOneMaxMoveEvaluator)) { operators.Add(op); } } ParameterizeOperators(); InitializeMoveGenerators(); } private void InitializeMoveGenerators() { foreach (IOneBitflipMoveOperator op in Operators.OfType()) { if (op is IMoveGenerator) { op.OneBitflipMoveParameter.ActualNameChanged += new EventHandler(OneBitflipMoveParameter_ActualNameChanged); } } } private void ParameterizeOperators() { foreach (IBinaryVectorCrossover op in Operators.OfType()) { op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.ChildParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; } foreach (IBinaryVectorManipulator op in Operators.OfType()) { op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; } foreach (IBinaryVectorMoveOperator op in Operators.OfType()) { op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; } } #endregion } }