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source: branches/2994-AutoDiffForIntervals/HeuristicLab.Problems.VehicleRouting/3.4/VehicleRoutingProblem.cs @ 16829

Last change on this file since 16829 was 16829, checked in by gkronber, 6 years ago

#2994: merged changesets r16740:16822 from trunk to branch
File size: 16.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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.Analysis;
27using HeuristicLab.Common;
28using HeuristicLab.Core;
29using HeuristicLab.Data;
30using HeuristicLab.Optimization;
31using HeuristicLab.Optimization.Operators;
32using HeuristicLab.Parameters;
33using HEAL.Attic;
34using HeuristicLab.PluginInfrastructure;
35using HeuristicLab.Problems.Instances;
36using HeuristicLab.Problems.VehicleRouting.Encodings.Alba;
37using HeuristicLab.Problems.VehicleRouting.Interfaces;
38using HeuristicLab.Problems.VehicleRouting.Interpreters;
39using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
40using HeuristicLab.Problems.VehicleRouting.Variants;
41
42namespace HeuristicLab.Problems.VehicleRouting {
43  [Item("Vehicle Routing Problem (VRP)", "Represents a Vehicle Routing Problem.")]
44  [Creatable(CreatableAttribute.Categories.CombinatorialProblems, Priority = 110)]
45  [StorableType("95137523-AE3B-4638-958C-E86829D54CE3")]
46  public sealed class VehicleRoutingProblem : Problem, ISingleObjectiveHeuristicOptimizationProblem, IStorableContent, IProblemInstanceConsumer<IVRPData> {
47    public string Filename { get; set; }
48
49    public static new Image StaticItemImage {
50      get { return HeuristicLab.Common.Resources.VSImageLibrary.Type; }
51    }
52
53    #region Parameter Properties
54    public ValueParameter<BoolValue> MaximizationParameter {
55      get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
56    }
57    IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
58      get { return MaximizationParameter; }
59    }
60    public ValueParameter<IVRPProblemInstance> ProblemInstanceParameter {
61      get { return (ValueParameter<IVRPProblemInstance>)Parameters["ProblemInstance"]; }
62    }
63    public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
64      get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
65    }
66    IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
67      get { return BestKnownQualityParameter; }
68    }
69    public OptionalValueParameter<VRPSolution> BestKnownSolutionParameter {
70      get { return (OptionalValueParameter<VRPSolution>)Parameters["BestKnownSolution"]; }
71    }
72    public IConstrainedValueParameter<IVRPCreator> SolutionCreatorParameter {
73      get { return (IConstrainedValueParameter<IVRPCreator>)Parameters["SolutionCreator"]; }
74    }
75    IParameter IHeuristicOptimizationProblem.SolutionCreatorParameter {
76      get { return SolutionCreatorParameter; }
77    }
78    public IValueParameter<IVRPEvaluator> EvaluatorParameter {
79      get { return (IValueParameter<IVRPEvaluator>)Parameters["Evaluator"]; }
80    }
81    IParameter IHeuristicOptimizationProblem.EvaluatorParameter {
82      get { return EvaluatorParameter; }
83    }
84    #endregion
85
86    #region Properties
87    public IVRPProblemInstance ProblemInstance {
88      get { return ProblemInstanceParameter.Value; }
89      set { ProblemInstanceParameter.Value = value; }
90    }
91
92    public VRPSolution BestKnownSolution {
93      get { return BestKnownSolutionParameter.Value; }
94      set { BestKnownSolutionParameter.Value = value; }
95    }
96
97    public DoubleValue BestKnownQuality {
98      get { return BestKnownQualityParameter.Value; }
99      set { BestKnownQualityParameter.Value = value; }
100    }
101
102    public ISingleObjectiveEvaluator Evaluator {
103      get { return EvaluatorParameter.Value; }
104    }
105
106    IEvaluator IHeuristicOptimizationProblem.Evaluator {
107      get { return this.Evaluator; }
108    }
109
110    ISolutionCreator IHeuristicOptimizationProblem.SolutionCreator {
111      get { return SolutionCreatorParameter.Value; }
112    }
113    public IVRPCreator SolutionCreator {
114      get { return SolutionCreatorParameter.Value; }
115      set { SolutionCreatorParameter.Value = value; }
116    }
117    #endregion
118
119    [StorableConstructor]
120    private VehicleRoutingProblem(StorableConstructorFlag _) : base(_) { }
121    public VehicleRoutingProblem()
122      : base() {
123      Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the Vehicle Routing Problem is a minimization problem.", new BoolValue(false)));
124      Parameters.Add(new ValueParameter<IVRPProblemInstance>("ProblemInstance", "The VRP problem instance"));
125      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this VRP instance."));
126      Parameters.Add(new OptionalValueParameter<VRPSolution>("BestKnownSolution", "The best known solution of this VRP instance."));
127
128      Parameters.Add(new ConstrainedValueParameter<IVRPCreator>("SolutionCreator", "The operator which should be used to create new VRP solutions."));
129      Parameters.Add(new ValueParameter<IVRPEvaluator>("Evaluator", "The operator which should be used to evaluate VRP solutions."));
130
131      EvaluatorParameter.Hidden = true;
132
133      InitializeRandomVRPInstance();
134      InitializeOperators();
135
136      AttachEventHandlers();
137      AttachProblemInstanceEventHandlers();
138
139      EvaluatorParameter.Value = ProblemInstance.SolutionEvaluator;
140    }
141
142    public override IDeepCloneable Clone(Cloner cloner) {
143      cloner.Clone(ProblemInstance);
144      return new VehicleRoutingProblem(this, cloner);
145    }
146
147    private VehicleRoutingProblem(VehicleRoutingProblem original, Cloner cloner)
148      : base(original, cloner) {
149      this.AttachEventHandlers();
150      this.AttachProblemInstanceEventHandlers();
151
152      ProblemInstance.SolutionEvaluator = EvaluatorParameter.Value;
153    }
154
155    #region Events
156    public event EventHandler SolutionCreatorChanged;
157    private void OnSolutionCreatorChanged() {
158      EventHandler handler = SolutionCreatorChanged;
159      if (handler != null) handler(this, EventArgs.Empty);
160    }
161    public event EventHandler EvaluatorChanged;
162    private void OnEvaluatorChanged() {
163      EventHandler handler = EvaluatorChanged;
164      if (handler != null) handler(this, EventArgs.Empty);
165    }
166    #endregion
167
168    #region Helpers
169    [StorableHook(HookType.AfterDeserialization)]
170    private void AfterDeserialization() {
171      AttachEventHandlers();
172      AttachProblemInstanceEventHandlers();
173
174      ProblemInstance.SolutionEvaluator = EvaluatorParameter.Value;
175    }
176
177    [Storable(OldName = "operators")]
178    private List<IOperator> StorableOperators {
179      set { Operators.AddRange(value); }
180    }
181
182    private void AttachEventHandlers() {
183      ProblemInstanceParameter.ValueChanged += new EventHandler(ProblemInstanceParameter_ValueChanged);
184      BestKnownSolutionParameter.ValueChanged += new EventHandler(BestKnownSolutionParameter_ValueChanged);
185      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
186      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
187    }
188
189    private void AttachProblemInstanceEventHandlers() {
190      if (ProblemInstance != null) {
191        ProblemInstance.EvaluationChanged += new EventHandler(ProblemInstance_EvaluationChanged);
192      }
193    }
194
195    private void EvalBestKnownSolution() {
196      if (BestKnownSolution == null) return;
197      try {
198        //call evaluator
199        BestKnownQuality = new DoubleValue(ProblemInstance.Evaluate(BestKnownSolution.Solution).Quality);
200        BestKnownSolution.Quality = BestKnownQuality;
201      } catch {
202        BestKnownQuality = null;
203        BestKnownSolution = null;
204      }
205    }
206
207    void BestKnownSolutionParameter_ValueChanged(object sender, EventArgs e) {
208      EvalBestKnownSolution();
209    }
210
211    void ProblemInstance_EvaluationChanged(object sender, EventArgs e) {
212      BestKnownQuality = null;
213      if (BestKnownSolution != null) {
214        // the tour is not valid if there are more vehicles in it than allowed
215        if (ProblemInstance.Vehicles.Value < BestKnownSolution.Solution.GetTours().Count) {
216          BestKnownSolution = null;
217        } else EvalBestKnownSolution();
218      }
219    }
220
221    void ProblemInstanceParameter_ValueChanged(object sender, EventArgs e) {
222      InitializeOperators();
223      AttachProblemInstanceEventHandlers();
224
225      EvaluatorParameter.Value = ProblemInstance.SolutionEvaluator;
226
227      OnSolutionCreatorChanged();
228      OnEvaluatorChanged();
229      OnOperatorsChanged();
230    }
231
232    public void SetProblemInstance(IVRPProblemInstance instance) {
233      ProblemInstanceParameter.ValueChanged -= new EventHandler(ProblemInstanceParameter_ValueChanged);
234
235      ProblemInstance = instance;
236      AttachProblemInstanceEventHandlers();
237
238      OnSolutionCreatorChanged();
239      OnEvaluatorChanged();
240
241      ProblemInstanceParameter.ValueChanged += new EventHandler(ProblemInstanceParameter_ValueChanged);
242    }
243
244    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
245      OnSolutionCreatorChanged();
246    }
247    private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
248      if (ProblemInstance != null)
249        ProblemInstance.SolutionEvaluator = EvaluatorParameter.Value;
250      OnEvaluatorChanged();
251    }
252
253    private void InitializeOperators() {
254      var solutionCreatorParameter = SolutionCreatorParameter as ConstrainedValueParameter<IVRPCreator>;
255      solutionCreatorParameter.ValidValues.Clear();
256
257      Operators.Clear();
258
259      if (ProblemInstance != null) {
260        Operators.AddRange(
261        ProblemInstance.Operators.Concat(
262          ApplicationManager.Manager.GetInstances<IGeneralVRPOperator>().Cast<IOperator>()).OrderBy(op => op.Name));
263        Operators.Add(new VRPSimilarityCalculator());
264        Operators.Add(new QualitySimilarityCalculator());
265        Operators.Add(new PopulationSimilarityAnalyzer(Operators.OfType<ISolutionSimilarityCalculator>()));
266
267        IVRPCreator defaultCreator = null;
268        foreach (IVRPCreator creator in Operators.Where(o => o is IVRPCreator)) {
269          solutionCreatorParameter.ValidValues.Add(creator);
270          if (creator is Encodings.Alba.RandomCreator)
271            defaultCreator = creator;
272        }
273        Operators.Add(new AlbaLambdaInterchangeLocalImprovementOperator());
274        if (defaultCreator != null)
275          solutionCreatorParameter.Value = defaultCreator;
276      }
277
278      ParameterizeOperators();
279    }
280
281    private void ParameterizeOperators() {
282      foreach (IOperator op in Operators.OfType<IOperator>()) {
283        if (op is IMultiVRPOperator) {
284          (op as IMultiVRPOperator).SetOperators(Operators.OfType<IOperator>());
285        }
286      }
287      if (ProblemInstance != null) {
288        foreach (ISingleObjectiveImprovementOperator op in Operators.OfType<ISingleObjectiveImprovementOperator>()) {
289          op.SolutionParameter.ActualName = SolutionCreator.VRPToursParameter.ActualName;
290          op.SolutionParameter.Hidden = true;
291        }
292        foreach (ISingleObjectivePathRelinker op in Operators.OfType<ISingleObjectivePathRelinker>()) {
293          op.ParentsParameter.ActualName = SolutionCreator.VRPToursParameter.ActualName;
294          op.ParentsParameter.Hidden = true;
295        }
296        foreach (ISolutionSimilarityCalculator op in Operators.OfType<ISolutionSimilarityCalculator>()) {
297          op.SolutionVariableName = SolutionCreator.VRPToursParameter.ActualName;
298          op.QualityVariableName = ProblemInstance.SolutionEvaluator.QualityParameter.ActualName;
299          var calc = op as VRPSimilarityCalculator;
300          if (calc != null) calc.ProblemInstance = ProblemInstance;
301        }
302      }
303    }
304
305    #endregion
306
307    private void InitializeRandomVRPInstance() {
308      System.Random rand = new System.Random();
309
310      CVRPTWProblemInstance problem = new CVRPTWProblemInstance();
311      int cities = 100;
312
313      problem.Coordinates = new DoubleMatrix(cities + 1, 2);
314      problem.Demand = new DoubleArray(cities + 1);
315      problem.DueTime = new DoubleArray(cities + 1);
316      problem.ReadyTime = new DoubleArray(cities + 1);
317      problem.ServiceTime = new DoubleArray(cities + 1);
318
319      problem.Vehicles.Value = 100;
320      problem.Capacity.Value = 200;
321
322      for (int i = 0; i <= cities; i++) {
323        problem.Coordinates[i, 0] = rand.Next(0, 100);
324        problem.Coordinates[i, 1] = rand.Next(0, 100);
325
326        if (i == 0) {
327          problem.Demand[i] = 0;
328          problem.DueTime[i] = Int16.MaxValue;
329          problem.ReadyTime[i] = 0;
330          problem.ServiceTime[i] = 0;
331        } else {
332          problem.Demand[i] = rand.Next(10, 50);
333          problem.DueTime[i] = rand.Next((int)Math.Ceiling(problem.GetDistance(0, i, null)), 1200);
334          problem.ReadyTime[i] = problem.DueTime[i] - rand.Next(0, 100);
335          problem.ServiceTime[i] = 90;
336        }
337      }
338
339      this.ProblemInstance = problem;
340    }
341
342    public void ImportSolution(string solutionFileName) {
343      SolutionParser parser = new SolutionParser(solutionFileName);
344      parser.Parse();
345
346      HeuristicLab.Problems.VehicleRouting.Encodings.Potvin.PotvinEncoding encoding = new Encodings.Potvin.PotvinEncoding(ProblemInstance);
347
348      int cities = 0;
349      foreach (List<int> route in parser.Routes) {
350        Tour tour = new Tour();
351        tour.Stops.AddRange(route);
352        cities += tour.Stops.Count;
353
354        encoding.Tours.Add(tour);
355      }
356
357      if (cities != ProblemInstance.Coordinates.Rows - 1)
358        ErrorHandling.ShowErrorDialog(new Exception("The optimal solution does not seem to correspond with the problem data"));
359      else {
360        VRPSolution solution = new VRPSolution(ProblemInstance, encoding, new DoubleValue(0));
361        BestKnownSolutionParameter.Value = solution;
362      }
363    }
364
365    #region Instance Consuming
366    public void Load(IVRPData data, IVRPDataInterpreter interpreter) {
367      VRPInstanceDescription instance = interpreter.Interpret(data);
368
369      Name = instance.Name;
370      Description = instance.Description;
371
372      BestKnownQuality = null;
373      BestKnownSolution = null;
374
375      if (ProblemInstance != null && instance.ProblemInstance != null &&
376        instance.ProblemInstance.GetType() == ProblemInstance.GetType())
377        SetProblemInstance(instance.ProblemInstance);
378      else
379        ProblemInstance = instance.ProblemInstance;
380
381      OnReset();
382
383      if (instance.BestKnownQuality != null) {
384        BestKnownQuality = new DoubleValue((double)instance.BestKnownQuality);
385      }
386
387      if (instance.BestKnownSolution != null) {
388        VRPSolution solution = new VRPSolution(ProblemInstance, instance.BestKnownSolution, new DoubleValue(0));
389        BestKnownSolution = solution;
390      }
391    }
392    #endregion
393
394    #region IProblemInstanceConsumer<VRPData> Members
395
396    public void Load(IVRPData data) {
397      var interpreterDataType = data.GetType();
398      var interpreterType = typeof(IVRPDataInterpreter<>).MakeGenericType(interpreterDataType);
399
400      var interpreters = ApplicationManager.Manager.GetTypes(interpreterType);
401
402      var concreteInterpreter = interpreters.Single(t => GetInterpreterDataType(t) == interpreterDataType);
403
404      Load(data, (IVRPDataInterpreter)Activator.CreateInstance(concreteInterpreter));
405    }
406
407    private Type GetInterpreterDataType(Type type) {
408      var parentInterfaces = type.BaseType.GetInterfaces();
409      var interfaces = type.GetInterfaces().Except(parentInterfaces);
410
411      var interpreterInterface = interfaces.Single(i => typeof(IVRPDataInterpreter).IsAssignableFrom(i));
412      return interpreterInterface.GetGenericArguments()[0];
413    }
414
415    #endregion
416  }
417}
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