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source: trunk/sources/HeuristicLab.Problems.Knapsack/3.3/KnapsackProblem.cs @ 6874

Last change on this file since 6874 was 6476, checked in by gkronber, 13 years ago

#1553: added remaining unit tests to create and run optimizer samples.
File size: 17.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Drawing;
25using System.Linq;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Encodings.BinaryVectorEncoding;
30using HeuristicLab.Optimization;
31using HeuristicLab.Parameters;
32using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
33using HeuristicLab.PluginInfrastructure;
34
35namespace HeuristicLab.Problems.Knapsack {
36  [Item("Knapsack Problem", "Represents a Knapsack problem.")]
37  [Creatable("Problems")]
38  [StorableClass]
39  public sealed class KnapsackProblem : ParameterizedNamedItem, ISingleObjectiveHeuristicOptimizationProblem, IStorableContent {
40    public string Filename { get; set; }
41
42    public override Image ItemImage {
43      get { return HeuristicLab.Common.Resources.VSImageLibrary.Type; }
44    }
45
46    #region Parameter Properties
47    public ValueParameter<BoolValue> MaximizationParameter {
48      get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
49    }
50    IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
51      get { return MaximizationParameter; }
52    }
53    public ValueParameter<IntValue> KnapsackCapacityParameter {
54      get { return (ValueParameter<IntValue>)Parameters["KnapsackCapacity"]; }
55    }
56    public ValueParameter<IntArray> WeightsParameter {
57      get { return (ValueParameter<IntArray>)Parameters["Weights"]; }
58    }
59    public ValueParameter<IntArray> ValuesParameter {
60      get { return (ValueParameter<IntArray>)Parameters["Values"]; }
61    }
62    public ValueParameter<DoubleValue> PenaltyParameter {
63      get { return (ValueParameter<DoubleValue>)Parameters["Penalty"]; }
64    }
65    public ValueParameter<IBinaryVectorCreator> SolutionCreatorParameter {
66      get { return (ValueParameter<IBinaryVectorCreator>)Parameters["SolutionCreator"]; }
67    }
68    IParameter IHeuristicOptimizationProblem.SolutionCreatorParameter {
69      get { return SolutionCreatorParameter; }
70    }
71    public ValueParameter<IKnapsackEvaluator> EvaluatorParameter {
72      get { return (ValueParameter<IKnapsackEvaluator>)Parameters["Evaluator"]; }
73    }
74    IParameter IHeuristicOptimizationProblem.EvaluatorParameter {
75      get { return EvaluatorParameter; }
76    }
77    public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
78      get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
79    }
80    IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
81      get { return BestKnownQualityParameter; }
82    }
83    public OptionalValueParameter<BinaryVector> BestKnownSolutionParameter {
84      get { return (OptionalValueParameter<BinaryVector>)Parameters["BestKnownSolution"]; }
85    }
86    #endregion
87
88    #region Properties
89    public BoolValue Maximization {
90      get { return MaximizationParameter.Value; }
91      set { MaximizationParameter.Value = value; }
92    }
93    public IntValue KnapsackCapacity {
94      get { return KnapsackCapacityParameter.Value; }
95      set { KnapsackCapacityParameter.Value = value; }
96    }
97    public IntArray Weights {
98      get { return WeightsParameter.Value; }
99      set { WeightsParameter.Value = value; }
100    }
101    public IntArray Values {
102      get { return ValuesParameter.Value; }
103      set { ValuesParameter.Value = value; }
104    }
105    public DoubleValue Penalty {
106      get { return PenaltyParameter.Value; }
107      set { PenaltyParameter.Value = value; }
108    }
109    public IBinaryVectorCreator SolutionCreator {
110      get { return SolutionCreatorParameter.Value; }
111      set { SolutionCreatorParameter.Value = value; }
112    }
113    ISolutionCreator IHeuristicOptimizationProblem.SolutionCreator {
114      get { return SolutionCreatorParameter.Value; }
115    }
116    public IKnapsackEvaluator Evaluator {
117      get { return EvaluatorParameter.Value; }
118      set { EvaluatorParameter.Value = value; }
119    }
120    ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
121      get { return EvaluatorParameter.Value; }
122    }
123    IEvaluator IHeuristicOptimizationProblem.Evaluator {
124      get { return EvaluatorParameter.Value; }
125    }
126    public DoubleValue BestKnownQuality {
127      get { return BestKnownQualityParameter.Value; }
128      set { BestKnownQualityParameter.Value = value; }
129    }
130    public BinaryVector BestKnownSolution {
131      get { return BestKnownSolutionParameter.Value; }
132      set { BestKnownSolutionParameter.Value = value; }
133    }
134    public IEnumerable<IOperator> Operators {
135      get { return operators.Cast<IOperator>(); }
136    }
137    private BestKnapsackSolutionAnalyzer BestKnapsackSolutionAnalyzer {
138      get { return operators.OfType<BestKnapsackSolutionAnalyzer>().FirstOrDefault(); }
139    }
140    #endregion
141
142    [Storable]
143    private List<IOperator> operators;
144
145    [StorableConstructor]
146    private KnapsackProblem(bool deserializing) : base(deserializing) { }
147    private KnapsackProblem(KnapsackProblem original, Cloner cloner)
148      : base(original, cloner) {
149      this.operators = original.operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
150      AttachEventHandlers();
151    }
152    public override IDeepCloneable Clone(Cloner cloner) {
153      return new KnapsackProblem(this, cloner);
154    }
155    public KnapsackProblem()
156      : base() {
157      RandomBinaryVectorCreator creator = new RandomBinaryVectorCreator();
158      KnapsackEvaluator evaluator = new KnapsackEvaluator();
159
160      Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to true as the Knapsack Problem is a maximization problem.", new BoolValue(true)));
161      Parameters.Add(new ValueParameter<IntValue>("KnapsackCapacity", "Capacity of the Knapsack.", new IntValue(0)));
162      Parameters.Add(new ValueParameter<IntArray>("Weights", "The weights of the items.", new IntArray(5)));
163      Parameters.Add(new ValueParameter<IntArray>("Values", "The values of the items.", new IntArray(5)));
164      Parameters.Add(new ValueParameter<DoubleValue>("Penalty", "The penalty value for each unit of overweight.", new DoubleValue(1)));
165      Parameters.Add(new ValueParameter<IBinaryVectorCreator>("SolutionCreator", "The operator which should be used to create new Knapsack solutions.", creator));
166      Parameters.Add(new ValueParameter<IKnapsackEvaluator>("Evaluator", "The operator which should be used to evaluate Knapsack solutions.", evaluator));
167      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this Knapsack instance."));
168      Parameters.Add(new OptionalValueParameter<BinaryVector>("BestKnownSolution", "The best known solution of this Knapsack instance."));
169
170      creator.BinaryVectorParameter.ActualName = "KnapsackSolution";
171
172      InitializeRandomKnapsackInstance();
173
174      ParameterizeSolutionCreator();
175      ParameterizeEvaluator();
176
177      InitializeOperators();
178      AttachEventHandlers();
179    }
180
181    #region Events
182    public event EventHandler SolutionCreatorChanged;
183    private void OnSolutionCreatorChanged() {
184      EventHandler handler = SolutionCreatorChanged;
185      if (handler != null) handler(this, EventArgs.Empty);
186    }
187    public event EventHandler EvaluatorChanged;
188    private void OnEvaluatorChanged() {
189      EventHandler handler = EvaluatorChanged;
190      if (handler != null) handler(this, EventArgs.Empty);
191    }
192    public event EventHandler OperatorsChanged;
193    private void OnOperatorsChanged() {
194      EventHandler handler = OperatorsChanged;
195      if (handler != null) handler(this, EventArgs.Empty);
196    }
197    public event EventHandler Reset;
198    private void OnReset() {
199      EventHandler handler = Reset;
200      if (handler != null) handler(this, EventArgs.Empty);
201    }
202
203    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
204      SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
205      ParameterizeSolutionCreator();
206      ParameterizeEvaluator();
207      ParameterizeAnalyzer();
208      ParameterizeOperators();
209      OnSolutionCreatorChanged();
210    }
211    private void SolutionCreator_BinaryVectorParameter_ActualNameChanged(object sender, EventArgs e) {
212      ParameterizeEvaluator();
213      ParameterizeAnalyzer();
214      ParameterizeOperators();
215    }
216    private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
217      ParameterizeEvaluator();
218      ParameterizeAnalyzer();
219      OnEvaluatorChanged();
220    }
221    void KnapsackCapacityParameter_ValueChanged(object sender, EventArgs e) {
222      ParameterizeEvaluator();
223      ParameterizeAnalyzer();
224    }
225    void WeightsParameter_ValueChanged(object sender, EventArgs e) {
226      ParameterizeEvaluator();
227      ParameterizeAnalyzer();
228      ParameterizeSolutionCreator();
229
230      WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset);
231    }
232    void WeightsValue_Reset(object sender, EventArgs e) {
233      ParameterizeSolutionCreator();
234
235      if (WeightsParameter.Value != null && ValuesParameter.Value != null)
236        ((IStringConvertibleArray)ValuesParameter.Value).Length = WeightsParameter.Value.Length;
237    }
238    void ValuesParameter_ValueChanged(object sender, EventArgs e) {
239      ParameterizeEvaluator();
240      ParameterizeAnalyzer();
241      ParameterizeSolutionCreator();
242
243      ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset);
244    }
245    void ValuesValue_Reset(object sender, EventArgs e) {
246      ParameterizeSolutionCreator();
247
248      if (WeightsParameter.Value != null && ValuesParameter.Value != null)
249        ((IStringConvertibleArray)WeightsParameter.Value).Length = ValuesParameter.Value.Length;
250    }
251    void PenaltyParameter_ValueChanged(object sender, EventArgs e) {
252      ParameterizeEvaluator();
253    }
254    void OneBitflipMoveParameter_ActualNameChanged(object sender, EventArgs e) {
255      string name = ((ILookupParameter<OneBitflipMove>)sender).ActualName;
256      foreach (IOneBitflipMoveOperator op in Operators.OfType<IOneBitflipMoveOperator>()) {
257        op.OneBitflipMoveParameter.ActualName = name;
258      }
259    }
260    #endregion
261
262    #region Helpers
263    [StorableHook(HookType.AfterDeserialization)]
264    private void AfterDeserialization() {
265      // BackwardsCompatibility3.3
266      #region Backwards compatible code (remove with 3.4)
267      if (operators == null) InitializeOperators();
268      #endregion
269      AttachEventHandlers();
270    }
271
272    private void AttachEventHandlers() {
273      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
274      SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
275      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
276      KnapsackCapacityParameter.ValueChanged += new EventHandler(KnapsackCapacityParameter_ValueChanged);
277      WeightsParameter.ValueChanged += new EventHandler(WeightsParameter_ValueChanged);
278      WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset);
279      ValuesParameter.ValueChanged += new EventHandler(ValuesParameter_ValueChanged);
280      ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset);
281      PenaltyParameter.ValueChanged += new EventHandler(PenaltyParameter_ValueChanged);
282    }
283    private void ParameterizeSolutionCreator() {
284      if (SolutionCreator.LengthParameter.Value == null ||
285        SolutionCreator.LengthParameter.Value.Value != WeightsParameter.Value.Length)
286        SolutionCreator.LengthParameter.Value = new IntValue(WeightsParameter.Value.Length);
287    }
288    private void ParameterizeEvaluator() {
289      if (Evaluator is KnapsackEvaluator) {
290        KnapsackEvaluator knapsackEvaluator =
291          (KnapsackEvaluator)Evaluator;
292        knapsackEvaluator.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
293        knapsackEvaluator.BinaryVectorParameter.Hidden = true;
294        knapsackEvaluator.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name;
295        knapsackEvaluator.KnapsackCapacityParameter.Hidden = true;
296        knapsackEvaluator.WeightsParameter.ActualName = WeightsParameter.Name;
297        knapsackEvaluator.WeightsParameter.Hidden = true;
298        knapsackEvaluator.ValuesParameter.ActualName = ValuesParameter.Name;
299        knapsackEvaluator.ValuesParameter.Hidden = true;
300        knapsackEvaluator.PenaltyParameter.ActualName = PenaltyParameter.Name;
301        knapsackEvaluator.PenaltyParameter.Hidden = true;
302      }
303    }
304    private void ParameterizeAnalyzer() {
305      BestKnapsackSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name;
306      BestKnapsackSolutionAnalyzer.MaximizationParameter.Hidden = true;
307      BestKnapsackSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
308      BestKnapsackSolutionAnalyzer.BestKnownQualityParameter.Hidden = true;
309      BestKnapsackSolutionAnalyzer.BestKnownSolutionParameter.ActualName = BestKnownSolutionParameter.Name;
310      BestKnapsackSolutionAnalyzer.BestKnownSolutionParameter.Hidden = true;
311      BestKnapsackSolutionAnalyzer.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
312      BestKnapsackSolutionAnalyzer.BinaryVectorParameter.Hidden = true;
313      BestKnapsackSolutionAnalyzer.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name;
314      BestKnapsackSolutionAnalyzer.KnapsackCapacityParameter.Hidden = true;
315      BestKnapsackSolutionAnalyzer.WeightsParameter.ActualName = WeightsParameter.Name;
316      BestKnapsackSolutionAnalyzer.WeightsParameter.Hidden = true;
317      BestKnapsackSolutionAnalyzer.ValuesParameter.ActualName = ValuesParameter.Name;
318      BestKnapsackSolutionAnalyzer.ValuesParameter.Hidden = true;
319    }
320    private void InitializeOperators() {
321      operators = new List<IOperator>();
322      operators.Add(new BestKnapsackSolutionAnalyzer());
323      ParameterizeAnalyzer();
324      foreach (IBinaryVectorOperator op in ApplicationManager.Manager.GetInstances<IBinaryVectorOperator>()) {
325        if (!(op is ISingleObjectiveMoveEvaluator) || (op is IKnapsackMoveEvaluator)) {
326          operators.Add(op);
327        }
328      }
329      ParameterizeOperators();
330      InitializeMoveGenerators();
331    }
332    private void InitializeMoveGenerators() {
333      foreach (IOneBitflipMoveOperator op in Operators.OfType<IOneBitflipMoveOperator>()) {
334        if (op is IMoveGenerator) {
335          op.OneBitflipMoveParameter.ActualNameChanged += new EventHandler(OneBitflipMoveParameter_ActualNameChanged);
336        }
337      }
338    }
339    private void ParameterizeOperators() {
340      foreach (IBinaryVectorCrossover op in Operators.OfType<IBinaryVectorCrossover>()) {
341        op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
342        op.ParentsParameter.Hidden = true;
343        op.ChildParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
344        op.ChildParameter.Hidden = true;
345      }
346      foreach (IBinaryVectorManipulator op in Operators.OfType<IBinaryVectorManipulator>()) {
347        op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
348        op.BinaryVectorParameter.Hidden = true;
349      }
350      foreach (IBinaryVectorMoveOperator op in Operators.OfType<IBinaryVectorMoveOperator>()) {
351        op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
352        op.BinaryVectorParameter.Hidden = true;
353      }
354      foreach (IKnapsackMoveEvaluator op in Operators.OfType<IKnapsackMoveEvaluator>()) {
355        op.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name;
356        op.KnapsackCapacityParameter.Hidden = true;
357        op.PenaltyParameter.ActualName = PenaltyParameter.Name;
358        op.PenaltyParameter.Hidden = true;
359        op.WeightsParameter.ActualName = WeightsParameter.Name;
360        op.WeightsParameter.Hidden = true;
361        op.ValuesParameter.ActualName = ValuesParameter.Name;
362        op.ValuesParameter.Hidden = true;
363      }
364      foreach (var op in Operators.OfType<IBinaryVectorMultiNeighborhoodShakingOperator>()) {
365        op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
366        op.BinaryVectorParameter.Hidden = true;
367      }
368    }
369    #endregion
370
371    private void InitializeRandomKnapsackInstance() {
372      System.Random rand = new System.Random();
373
374      int itemCount = rand.Next(10, 100);
375      Weights = new IntArray(itemCount);
376      Values = new IntArray(itemCount);
377
378      double totalWeight = 0;
379
380      for (int i = 0; i < itemCount; i++) {
381        int value = rand.Next(1, 10);
382        int weight = rand.Next(1, 10);
383
384        Values[i] = value;
385        Weights[i] = weight;
386        totalWeight += weight;
387      }
388
389      int capacity = (int)Math.Round(0.7 * totalWeight);
390      KnapsackCapacity = new IntValue(capacity);
391    }
392  }
393}
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