1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2010 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 |
|
---|
22 | using System;
|
---|
23 | using System.Collections.Generic;
|
---|
24 | using HeuristicLab.Core;
|
---|
25 | using HeuristicLab.Data;
|
---|
26 | using HeuristicLab.Encodings.PermutationEncoding;
|
---|
27 | using HeuristicLab.Optimization;
|
---|
28 | using HeuristicLab.Parameters;
|
---|
29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
30 | using HeuristicLab.Common;
|
---|
31 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
|
---|
32 | using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
|
---|
33 | using HeuristicLab.Problems.VehicleRouting.Variants;
|
---|
34 |
|
---|
35 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
|
---|
36 | [Item("PushForwardInsertionCreator", "Creates a randomly initialized VRP solution.")]
|
---|
37 | [StorableClass]
|
---|
38 | public sealed class PushForwardInsertionCreator : PotvinCreator, IStochasticOperator {
|
---|
39 | #region IStochasticOperator Members
|
---|
40 | public ILookupParameter<IRandom> RandomParameter {
|
---|
41 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
|
---|
42 | }
|
---|
43 | #endregion
|
---|
44 |
|
---|
45 | public IValueParameter<DoubleValue> Alpha {
|
---|
46 | get { return (IValueParameter<DoubleValue>)Parameters["Alpha"]; }
|
---|
47 | }
|
---|
48 | public IValueParameter<DoubleValue> AlphaVariance {
|
---|
49 | get { return (IValueParameter<DoubleValue>)Parameters["AlphaVariance"]; }
|
---|
50 | }
|
---|
51 | public IValueParameter<DoubleValue> Beta {
|
---|
52 | get { return (IValueParameter<DoubleValue>)Parameters["Beta"]; }
|
---|
53 | }
|
---|
54 | public IValueParameter<DoubleValue> BetaVariance {
|
---|
55 | get { return (IValueParameter<DoubleValue>)Parameters["BetaVariance"]; }
|
---|
56 | }
|
---|
57 | public IValueParameter<DoubleValue> Gamma {
|
---|
58 | get { return (IValueParameter<DoubleValue>)Parameters["Gamma"]; }
|
---|
59 | }
|
---|
60 | public IValueParameter<DoubleValue> GammaVariance {
|
---|
61 | get { return (IValueParameter<DoubleValue>)Parameters["GammaVariance"]; }
|
---|
62 | }
|
---|
63 |
|
---|
64 | [StorableConstructor]
|
---|
65 | private PushForwardInsertionCreator(bool deserializing) : base(deserializing) { }
|
---|
66 |
|
---|
67 | public PushForwardInsertionCreator()
|
---|
68 | : base() {
|
---|
69 | Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator."));
|
---|
70 | Parameters.Add(new ValueParameter<DoubleValue>("Alpha", "The alpha value.", new DoubleValue(0.7)));
|
---|
71 | Parameters.Add(new ValueParameter<DoubleValue>("AlphaVariance", "The alpha variance.", new DoubleValue(0.5)));
|
---|
72 | Parameters.Add(new ValueParameter<DoubleValue>("Beta", "The beta value.", new DoubleValue(0.1)));
|
---|
73 | Parameters.Add(new ValueParameter<DoubleValue>("BetaVariance", "The beta variance.", new DoubleValue(0.07)));
|
---|
74 | Parameters.Add(new ValueParameter<DoubleValue>("Gamma", "The gamma value.", new DoubleValue(0.2)));
|
---|
75 | Parameters.Add(new ValueParameter<DoubleValue>("GammaVariance", "The gamma variance.", new DoubleValue(0.14)));
|
---|
76 | }
|
---|
77 |
|
---|
78 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
79 | return new PushForwardInsertionCreator(this, cloner);
|
---|
80 | }
|
---|
81 |
|
---|
82 | private PushForwardInsertionCreator(PushForwardInsertionCreator original, Cloner cloner)
|
---|
83 | : base(original, cloner) {
|
---|
84 | }
|
---|
85 |
|
---|
86 | // use the Box-Mueller transform in the polar form to generate a N(0,1) random variable out of two uniformly distributed random variables
|
---|
87 | private static double Gauss(IRandom random) {
|
---|
88 | double u = 0.0, v = 0.0, s = 0.0;
|
---|
89 | do {
|
---|
90 | u = (random.NextDouble() * 2) - 1;
|
---|
91 | v = (random.NextDouble() * 2) - 1;
|
---|
92 | s = Math.Sqrt(u * u + v * v);
|
---|
93 | } while (s < Double.Epsilon || s > 1);
|
---|
94 | return u * Math.Sqrt((-2.0 * Math.Log(s)) / s);
|
---|
95 | }
|
---|
96 |
|
---|
97 | private static double N(double mu, double sigma, IRandom random) {
|
---|
98 | return mu + (sigma * Gauss(random)); // transform the random variable sampled from N(0,1) to N(mu,sigma)
|
---|
99 | }
|
---|
100 |
|
---|
101 | private static double Distance(IVRPProblemInstance problemInstance, int start, int end) {
|
---|
102 | return problemInstance.GetDistance(start, end);
|
---|
103 | }
|
---|
104 |
|
---|
105 | private static PotvinEncoding CreateSolution(IVRPProblemInstance problemInstance, IRandom random,
|
---|
106 | double alphaValue = 0.7, double betaValue = 0.1, double gammaValue = 0.2,
|
---|
107 | double alphaVariance = 0.5, double betaVariance = 0.07, double gammaVariance = 0.14) {
|
---|
108 | PotvinEncoding result = new PotvinEncoding(problemInstance);
|
---|
109 |
|
---|
110 | double alpha, beta, gamma;
|
---|
111 | alpha = N(alphaValue, Math.Sqrt(alphaVariance), random);
|
---|
112 | beta = N(betaValue, Math.Sqrt(betaVariance), random);
|
---|
113 | gamma = N(gammaValue, Math.Sqrt(gammaVariance), random);
|
---|
114 |
|
---|
115 | double x0 = problemInstance.Coordinates[0, 0];
|
---|
116 | double y0 = problemInstance.Coordinates[0, 1];
|
---|
117 | double distance = 0;
|
---|
118 | double cost = 0;
|
---|
119 | List<int> unroutedList = new List<int>();
|
---|
120 | List<double> costList = new List<double>();
|
---|
121 |
|
---|
122 | IPickupAndDeliveryProblemInstance pdp = problemInstance as IPickupAndDeliveryProblemInstance;
|
---|
123 |
|
---|
124 | /*-----------------------------------------------------------------------------
|
---|
125 | * generate cost list
|
---|
126 | *-----------------------------------------------------------------------------
|
---|
127 | */
|
---|
128 | for (int i = 1; i <= problemInstance.Cities.Value; i++) {
|
---|
129 | //only insert sources
|
---|
130 | if (pdp == null || problemInstance.Demand[i] >= 0) {
|
---|
131 | distance = Distance(problemInstance, i, 0);
|
---|
132 | if (problemInstance.Coordinates[i, 0] < x0) distance = -distance;
|
---|
133 |
|
---|
134 | cost = -alpha * distance + // distance 0 <-> City[i]
|
---|
135 | beta * (problemInstance as ITimeWindowedProblemInstance).DueTime[i] + // latest arrival time
|
---|
136 | gamma * (Math.Asin((problemInstance.Coordinates[i, 1] - y0) / distance) / 360 * distance); // polar angle
|
---|
137 |
|
---|
138 | int index = 0;
|
---|
139 | while (index < costList.Count && costList[index] < cost) index++;
|
---|
140 |
|
---|
141 | costList.Insert(index, cost);
|
---|
142 |
|
---|
143 | unroutedList.Insert(index, i);
|
---|
144 | }
|
---|
145 | }
|
---|
146 |
|
---|
147 | double minimumCost = double.MaxValue;
|
---|
148 | int indexOfMinimumCost = -1;
|
---|
149 | int indexOfMinimumCost2 = -1;
|
---|
150 | int indexOfCustomer = -1;
|
---|
151 |
|
---|
152 | Tour tour = new Tour();
|
---|
153 | result.Tours.Add(tour);
|
---|
154 | tour.Stops.Add(unroutedList[0]);
|
---|
155 | unroutedList.RemoveAt(0);
|
---|
156 |
|
---|
157 | while (unroutedList.Count > 0) {
|
---|
158 | for (int c = 0; c < unroutedList.Count; c++) {
|
---|
159 | VRPEvaluation eval =
|
---|
160 | problemInstance.EvaluateTour(tour, result);
|
---|
161 | double originalCosts = eval.Quality;
|
---|
162 | int customer = unroutedList[c];
|
---|
163 |
|
---|
164 | for (int i = 0; i <= tour.Stops.Count; i++) {
|
---|
165 | tour.Stops.Insert(i, customer);
|
---|
166 | eval = problemInstance.EvaluateTour(tour, result);
|
---|
167 | double tourCost = eval.Quality - originalCosts;
|
---|
168 |
|
---|
169 | if (pdp != null) {
|
---|
170 | for (int j = i + 1; j <= tour.Stops.Count; j++) {
|
---|
171 | bool feasible;
|
---|
172 | cost = tourCost +
|
---|
173 | problemInstance.GetInsertionCosts(eval, pdp.PickupDeliveryLocation[unroutedList[c]], 0, j, out feasible);
|
---|
174 | if (cost < minimumCost && feasible) {
|
---|
175 | minimumCost = cost;
|
---|
176 | indexOfMinimumCost = i;
|
---|
177 | indexOfMinimumCost2 = j;
|
---|
178 | indexOfCustomer = c;
|
---|
179 | }
|
---|
180 | }
|
---|
181 | } else {
|
---|
182 | cost = tourCost;
|
---|
183 | bool feasible = problemInstance.Feasible(eval);
|
---|
184 | if (cost < minimumCost && feasible) {
|
---|
185 | minimumCost = cost;
|
---|
186 | indexOfMinimumCost = i;
|
---|
187 | indexOfCustomer = c;
|
---|
188 | }
|
---|
189 | }
|
---|
190 |
|
---|
191 | tour.Stops.RemoveAt(i);
|
---|
192 | }
|
---|
193 | }
|
---|
194 |
|
---|
195 | // insert customer if found
|
---|
196 | if (indexOfMinimumCost != -1) {
|
---|
197 | tour.Stops.Insert(indexOfMinimumCost, unroutedList[indexOfCustomer]);
|
---|
198 |
|
---|
199 | if (pdp != null) {
|
---|
200 | tour.Stops.Insert(indexOfMinimumCost2, pdp.PickupDeliveryLocation[unroutedList[indexOfCustomer]]);
|
---|
201 | }
|
---|
202 |
|
---|
203 | unroutedList.RemoveAt(indexOfCustomer);
|
---|
204 | costList.RemoveAt(indexOfCustomer);
|
---|
205 | } else { // no feasible customer found
|
---|
206 | tour = new Tour();
|
---|
207 | result.Tours.Add(tour);
|
---|
208 | tour.Stops.Add(unroutedList[0]);
|
---|
209 | unroutedList.RemoveAt(0);
|
---|
210 | }
|
---|
211 | // reset minimum
|
---|
212 | minimumCost = double.MaxValue;
|
---|
213 | indexOfMinimumCost = -1;
|
---|
214 | indexOfMinimumCost2 = -1;
|
---|
215 | indexOfCustomer = -1;
|
---|
216 | }
|
---|
217 |
|
---|
218 | return result;
|
---|
219 | }
|
---|
220 |
|
---|
221 | public override IOperation Apply() {
|
---|
222 | VRPToursParameter.ActualValue = CreateSolution(ProblemInstance, RandomParameter.ActualValue,
|
---|
223 | Alpha.Value.Value, Beta.Value.Value, Gamma.Value.Value,
|
---|
224 | AlphaVariance.Value.Value, BetaVariance.Value.Value, GammaVariance.Value.Value);
|
---|
225 |
|
---|
226 | return base.Apply();
|
---|
227 | }
|
---|
228 | }
|
---|
229 | }
|
---|