#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.Knapsack { [Item("KnapsackProblem", "Represents a Knapsack Problem.")] [Creatable("Problems")] [StorableClass] public sealed class KnapsackProblem : ParameterizedNamedItem, ISingleObjectiveProblem { 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 KnapsackCapacityParameter { get { return (ValueParameter)Parameters["KnapsackCapacity"]; } } public ValueParameter WeightsParameter { get { return (ValueParameter)Parameters["Weights"]; } } public ValueParameter ValuesParameter { get { return (ValueParameter)Parameters["Values"]; } } public ValueParameter PenaltyParameter { get { return (ValueParameter)Parameters["Penalty"]; } } 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 OptionalValueParameter VisualizerParameter { get { return (OptionalValueParameter)Parameters["Visualizer"]; } } IParameter IProblem.VisualizerParameter { get { return VisualizerParameter; } } public OptionalValueParameter BestKnownQualityParameter { get { return (OptionalValueParameter)Parameters["BestKnownQuality"]; } } IParameter ISingleObjectiveProblem.BestKnownQualityParameter { get { return BestKnownQualityParameter; } } #endregion #region Properties public IntValue KnapsackCapacity { get { return KnapsackCapacityParameter.Value; } set { KnapsackCapacityParameter.Value = value; } } public IntArray Weights { get { return WeightsParameter.Value; } set { WeightsParameter.Value = value; } } public IntArray Values { get { return ValuesParameter.Value; } set { ValuesParameter.Value = value; } } public DoubleValue Penalty { get { return PenaltyParameter.Value; } set { PenaltyParameter.Value = value; } } public IBinaryVectorCreator SolutionCreator { get { return SolutionCreatorParameter.Value; } set { SolutionCreatorParameter.Value = value; } } ISolutionCreator IProblem.SolutionCreator { get { return SolutionCreatorParameter.Value; } } public IKnapsackEvaluator Evaluator { get { return EvaluatorParameter.Value; } set { EvaluatorParameter.Value = value; } } ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator { get { return EvaluatorParameter.Value; } } IEvaluator IProblem.Evaluator { get { return EvaluatorParameter.Value; } } public IKnapsackSolutionsVisualizer Visualizer { get { return VisualizerParameter.Value; } set { VisualizerParameter.Value = value; } } ISolutionsVisualizer IProblem.Visualizer { get { return VisualizerParameter.Value; } } public DoubleValue BestKnownQuality { get { return BestKnownQualityParameter.Value; } set { BestKnownQualityParameter.Value = value; } } private List operators; public IEnumerable Operators { get { return operators.Cast(); } } #endregion private void InitializeRandomKnapsackInstance() { System.Random rand = new System.Random(); int itemCount = rand.Next(10, 100); int capacity = itemCount * 5; KnapsackCapacity = new IntValue(capacity); Weights = new IntArray(itemCount); Values = new IntArray(itemCount); for (int i = 0; i < itemCount; i++ ) { int value = rand.Next(1, 10); int weight = rand.Next(1, 10); Values[i] = value; Weights[i] = weight; } } public KnapsackProblem() : base() { RandomBinaryVectorCreator creator = new RandomBinaryVectorCreator(); KnapsackEvaluator evaluator = new KnapsackEvaluator(); Parameters.Add(new ValueParameter("Maximization", "Set to true as the Knapsack Problem is a maximization problem.", new BoolValue(true))); Parameters.Add(new ValueParameter("KnapsackCapacity", "Capacity of the Knapsack.", new IntValue(0))); Parameters.Add(new ValueParameter("Weights", "The weights of the items.", new IntArray(5))); Parameters.Add(new ValueParameter("Values", "The values of the items.", new IntArray(5))); Parameters.Add(new ValueParameter("Penalty", "The penalty value for each unit of overweight.", new DoubleValue(1))); Parameters.Add(new ValueParameter("SolutionCreator", "The operator which should be used to create new Knapsack solutions.", creator)); Parameters.Add(new ValueParameter("Evaluator", "The operator which should be used to evaluate Knapsack solutions.", evaluator)); Parameters.Add(new OptionalValueParameter("BestKnownQuality", "The quality of the best known solution of this Knapsack instance.")); Parameters.Add(new ValueParameter("Visualizer", "The operator which should be used to visualize Knapsack solutions.", null)); creator.BinaryVectorParameter.ActualName = "KnapsackSolution"; evaluator.QualityParameter.ActualName = "NumberOfOnes"; InitializeRandomKnapsackInstance(); ParameterizeSolutionCreator(); ParameterizeEvaluator(); Initialize(); } [StorableConstructor] private KnapsackProblem(bool deserializing) : base() { } public override IDeepCloneable Clone(Cloner cloner) { KnapsackProblem clone = (KnapsackProblem)base.Clone(cloner); clone.Initialize(); return clone; } #region Events public event EventHandler SolutionCreatorChanged; private void OnSolutionCreatorChanged() { if (SolutionCreatorChanged != null) SolutionCreatorChanged(this, EventArgs.Empty); } public event EventHandler EvaluatorChanged; private void OnEvaluatorChanged() { if (EvaluatorChanged != null) EvaluatorChanged(this, EventArgs.Empty); } public event EventHandler VisualizerChanged; private void OnVisualizerChanged() { if (VisualizerChanged != null) VisualizerChanged(this, EventArgs.Empty); } public event EventHandler OperatorsChanged; private void OnOperatorsChanged() { if (OperatorsChanged != null) OperatorsChanged(this, EventArgs.Empty); } private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) { SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_PermutationParameter_ActualNameChanged); ParameterizeSolutionCreator(); ParameterizeEvaluator(); ParameterizeOperators(); OnSolutionCreatorChanged(); } private void SolutionCreator_PermutationParameter_ActualNameChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeOperators(); } private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); OnEvaluatorChanged(); } void KnapsackCapacityParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); } void WeightsParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeSolutionCreator(); WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset); } void WeightsValue_Reset(object sender, EventArgs e) { ParameterizeSolutionCreator(); } void ValuesParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeSolutionCreator(); ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset); } void ValuesValue_Reset(object sender, EventArgs e) { ParameterizeSolutionCreator(); } void PenaltyParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); } void VisualizerParameter_ValueChanged(object sender, EventArgs e) { OnVisualizerChanged(); } 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 Initialize() { InitializeOperators(); SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged); SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_PermutationParameter_ActualNameChanged); EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged); KnapsackCapacityParameter.ValueChanged += new EventHandler(KnapsackCapacityParameter_ValueChanged); WeightsParameter.ValueChanged += new EventHandler(WeightsParameter_ValueChanged); WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset); ValuesParameter.ValueChanged += new EventHandler(ValuesParameter_ValueChanged); ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset); PenaltyParameter.ValueChanged += new EventHandler(PenaltyParameter_ValueChanged); VisualizerParameter.ValueChanged += new EventHandler(VisualizerParameter_ValueChanged); } private void ParameterizeSolutionCreator() { if(SolutionCreator.LengthParameter.Value == null || SolutionCreator.LengthParameter.Value.Value != WeightsParameter.Value.Length) SolutionCreator.LengthParameter.Value = new IntValue(WeightsParameter.Value.Length); } private void ParameterizeEvaluator() { if (Evaluator is KnapsackEvaluator) { KnapsackEvaluator knapsackEvaluator = (KnapsackEvaluator)Evaluator; knapsackEvaluator.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; knapsackEvaluator.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name; knapsackEvaluator.WeightsParameter.ActualName = WeightsParameter.Name; knapsackEvaluator.ValuesParameter.ActualName = ValuesParameter.Name; knapsackEvaluator.PenaltyParameter.ActualName = PenaltyParameter.Name; } } private void InitializeOperators() { operators = new List(); foreach (IBinaryVectorOperator op in ApplicationManager.Manager.GetInstances()) { if (!(op is ISingleObjectiveMoveEvaluator) || (op is IKnapsackMoveEvaluator)) { 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; } foreach (IKnapsackMoveEvaluator op in Operators.OfType()) { op.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name; op.PenaltyParameter.ActualName = PenaltyParameter.Name; op.WeightsParameter.ActualName = WeightsParameter.Name; op.ValuesParameter.ActualName = ValuesParameter.Name; } } #endregion } }