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add example for VRP with heterogeneous fleet as well as an example of
how to benchmark it
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oblonski
parent
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5 changed files with 202 additions and 115 deletions
75
jsprit-examples/input/algorithmConfig_considerFixedCosts.xml
Executable file
75
jsprit-examples/input/algorithmConfig_considerFixedCosts.xml
Executable file
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<?xml version="1.0" encoding="UTF-8"?>
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<!--
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Copyright (C) 2013 Stefan Schroeder
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License
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as published by the Free Software Foundation; either version 2
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of the License, or (at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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Contributors:
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Stefan Schroeder - initial API and implementation
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-->
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<algorithm xmlns="http://www.w3schools.com"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.w3schools.com algorithm_schema.xsd">
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<iterations>2000</iterations>
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<construction>
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<insertion name="bestInsertion">
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<considerFixedCosts weight="1.0">true</considerFixedCosts>
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</insertion>
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</construction>
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<strategy>
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<memory>1</memory>
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<searchStrategies>
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<searchStrategy name="radialRuinAndRecreate">
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<selector name="selectBest"/>
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<acceptor name="schrimpfAcceptance">
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<alpha>0.05</alpha>
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<warmup>20</warmup>
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</acceptor>
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<modules>
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<module name="ruin_and_recreate">
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<ruin name="randomRuin">
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<share>0.5</share>
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</ruin>
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<insertion name="bestInsertion"/>
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</module>
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</modules>
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<probability>0.5</probability>
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</searchStrategy>
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<searchStrategy name="radialRuinAndRecreate">
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<selector name="selectBest"/>
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<acceptor name="schrimpfAcceptance"/>
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<modules>
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<module name="ruin_and_recreate">
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<ruin id="1" name="radialRuin">
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<share>0.3</share>
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</ruin>
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<insertion name="bestInsertion"/>
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</module>
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</modules>
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<probability>0.5</probability>
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</searchStrategy>
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</searchStrategies>
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</strategy>
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</algorithm>
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67
jsprit-examples/input/cn_14mix.txt
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67
jsprit-examples/input/cn_14mix.txt
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50
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0 40 40 0
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1 22 22 18
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2 36 26 26
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3 21 45 11
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4 45 35 30
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5 55 20 21
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6 33 34 19
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7 50 50 15
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8 55 45 16
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9 26 59 29
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10 40 66 26
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11 55 65 37
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12 35 51 16
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13 62 35 12
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14 62 57 31
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15 62 24 8
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16 21 36 19
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17 33 44 20
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18 9 56 13
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19 62 48 15
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20 66 14 22
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21 44 13 28
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22 26 13 12
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23 11 28 6
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31 31 76 25
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32 22 53 28
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33 26 29 27
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34 50 40 19
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35 55 50 10
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36 54 10 12
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37 60 15 14
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39 30 60 16
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40 30 50 33
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49 12 38 5
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50 15 56 22
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//Vehicles characteristics: volume, fixed cost, variable cost, number available
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v 1 120 1000 1.0 4
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v 2 160 1500 1.1 2
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v 3 300 3500 1.4 1
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160
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8 300 0 10000 625.679906 + 7*1000 + 1500 =
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7 26 7 35 19 8 46 34 10530637
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4 10 38 11 14 10794953
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8 33 1 43 42 41 23 49 16 10916479
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6 48 47 36 21 28 22 10931709
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7 27 13 15 20 37 5 29 10832981
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6 44 32 50 18 24 3 10862722
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5 6 2 30 45 4 10469680
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7 12 39 31 25 9 40 17 15917639
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package jsprit.examples;
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import java.util.Collection;
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import jsprit.analysis.toolbox.AlgorithmSearchProgressChartListener;
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import jsprit.analysis.toolbox.GraphStreamViewer;
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import jsprit.analysis.toolbox.Plotter;
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import jsprit.analysis.toolbox.SolutionPrinter;
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import jsprit.analysis.toolbox.SolutionPrinter.Print;
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import jsprit.core.algorithm.VehicleRoutingAlgorithm;
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import jsprit.core.algorithm.io.VehicleRoutingAlgorithms;
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import jsprit.core.problem.VehicleRoutingProblem;
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import jsprit.core.problem.solution.VehicleRoutingProblemSolution;
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import jsprit.core.problem.solution.route.VehicleRoute;
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import jsprit.core.util.Solutions;
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import jsprit.instance.reader.VrphGoldenReader;
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import jsprit.instance.reader.VrphGoldenReader.VrphType;
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/**
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* Shows how to benchmark the algorithm on different classical HVRP and FSM instances.
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*
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* <p>These instances are from Golden and Taillard and copied from http://mistic.heig-vd.ch/taillard/problemes.dir/vrp.dir/vrp.html.
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*
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* <p>You can find best results of different problems, instances and authors here:
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* <br><a href="http://www2.ic.uff.br/~satoru/conteudo/artigos/PAPER%20PUCA-JHeuristics-2011.pdf">http://www2.ic.uff.br/~satoru/conteudo/artigos/PAPER%20PUCA-JHeuristics-2011.pdf</a>
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* <br><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.100.2331&rep=rep1&type=pdf">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.100.2331&rep=rep1&type=pdf</a>
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*
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* @author schroeder
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*
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*/
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public class HVRPBenchmarkExample {
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public static void main(String[] args) {
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VehicleRoutingProblem.Builder vrpBuilder = VehicleRoutingProblem.Builder.newInstance();
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//read modified Golden-instance, you can find all relevant instances in jsprit-instances/instances/vrph
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//you can build various problems, see VrphType doc for more details
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new VrphGoldenReader(vrpBuilder, VrphType.HVRPFD).read("input/cn_14mix.txt");
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vrpBuilder.addPenaltyVehicles(10.0);
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VehicleRoutingProblem vrp = vrpBuilder.build();
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VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(vrp, "input/algorithmConfig_considerFixedCosts.xml");
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vra.setNuOfIterations(10000);
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// vra.setPrematureAlgorithmTermination(new IterationWithoutImprovementTermination(500));
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vra.addListener(new AlgorithmSearchProgressChartListener("output/progress.png"));
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Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
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VehicleRoutingProblemSolution best = Solutions.bestOf(solutions);
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SolutionPrinter.print(vrp, best, Print.VERBOSE);
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Plotter plotter = new Plotter(vrp,best);
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plotter.plot("output/cn14.png", "cn14");
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new GraphStreamViewer(vrp, best).setRenderDelay(100).display();
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}
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}
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@ -48,7 +48,7 @@ import jsprit.core.util.Solutions;
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* @author schroeder
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* @author schroeder
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*
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*
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*/
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*/
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public class VRPHEExample {
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public class HVRPExample {
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public static void main(String[] args) {
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public static void main(String[] args) {
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@ -1,114 +0,0 @@
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package jsprit.examples;
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import java.util.Collection;
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import jsprit.analysis.toolbox.GraphStreamViewer;
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import jsprit.analysis.toolbox.SolutionPrinter;
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import jsprit.analysis.toolbox.SolutionPrinter.Print;
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import jsprit.core.algorithm.VehicleRoutingAlgorithm;
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import jsprit.core.algorithm.io.VehicleRoutingAlgorithms;
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import jsprit.core.problem.VehicleRoutingProblem;
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import jsprit.core.problem.VehicleRoutingProblem.FleetSize;
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import jsprit.core.problem.job.Service;
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import jsprit.core.problem.solution.VehicleRoutingProblemSolution;
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import jsprit.core.problem.vehicle.VehicleImpl;
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import jsprit.core.problem.vehicle.VehicleType;
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import jsprit.core.problem.vehicle.VehicleTypeImpl;
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import jsprit.core.util.Coordinate;
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import jsprit.core.util.Solutions;
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/**
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* customers (id,x,y,demand)
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* 1 22 22 18
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* 2 36 26 26
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* 3 21 45 11
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* 4 45 35 30
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* 5 55 20 21
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* 6 33 34 19
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* 7 50 50 15
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* 8 55 45 16
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* 9 26 59 29
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* 10 40 66 26
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* 11 55 65 37
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* 12 35 51 16
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* 13 62 35 12
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* 14 62 57 31
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* 15 62 24 8
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* 16 21 36 19
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* 17 33 44 20
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* 18 9 56 13
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* 19 62 48 15
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* 20 66 14 22
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*
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* vehicles (id,cap,fixed costs, perDistance, #vehicles) at location (40,40)
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* 1 120 1000 1.0 2
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* 2 160 1500 1.1 1
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* 3 300 3500 1.4 1
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*
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* @author schroeder
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*
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*/
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public class VFMExample {
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public static void main(String[] args) {
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VehicleRoutingProblem.Builder vrpBuilder = VehicleRoutingProblem.Builder.newInstance();
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//add customers
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vrpBuilder.addJob(Service.Builder.newInstance("1", 18).setCoord(Coordinate.newInstance(22, 22)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("2", 26).setCoord(Coordinate.newInstance(36, 26)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("3", 11).setCoord(Coordinate.newInstance(21, 45)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("4", 30).setCoord(Coordinate.newInstance(45, 35)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("5", 21).setCoord(Coordinate.newInstance(55, 20)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("6", 19).setCoord(Coordinate.newInstance(33, 34)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("7", 15).setCoord(Coordinate.newInstance(50, 50)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("8", 16).setCoord(Coordinate.newInstance(55, 45)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("9", 29).setCoord(Coordinate.newInstance(26, 59)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("10", 26).setCoord(Coordinate.newInstance(40, 66)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("11", 37).setCoord(Coordinate.newInstance(55, 56)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("12", 16).setCoord(Coordinate.newInstance(35, 51)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("13", 12).setCoord(Coordinate.newInstance(62, 35)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("14", 31).setCoord(Coordinate.newInstance(62, 57)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("15", 8).setCoord(Coordinate.newInstance(62, 24)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("16", 19).setCoord(Coordinate.newInstance(21, 36)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("17", 20).setCoord(Coordinate.newInstance(33, 44)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("18", 13).setCoord(Coordinate.newInstance(9, 56)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("19", 15).setCoord(Coordinate.newInstance(62, 48)).build());
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vrpBuilder.addJob(Service.Builder.newInstance("20", 22).setCoord(Coordinate.newInstance(66, 14)).build());
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//add vehicle - finite fleet
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//fixed costs only (and equal variable costs)
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//vehicle type1
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VehicleType type1 = VehicleTypeImpl.Builder.newInstance("type_1", 120).setCostPerDistance(1.0).setFixedCost(1000).build();
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VehicleImpl vehicle1 = VehicleImpl.Builder.newInstance("1_1").setLocationCoord(Coordinate.newInstance(40, 40)).setType(type1).build();
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vrpBuilder.addVehicle(vehicle1);
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//vehicle type2
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VehicleType type2 = VehicleTypeImpl.Builder.newInstance("type_2", 160).setCostPerDistance(1.0).setFixedCost(1500).build();
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VehicleImpl vehicle2 = VehicleImpl.Builder.newInstance("2_1").setLocationCoord(Coordinate.newInstance(40, 40)).setType(type2).build();
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vrpBuilder.addVehicle(vehicle2);
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//vehicle type3
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VehicleType type3 = VehicleTypeImpl.Builder.newInstance("type_3", 300).setCostPerDistance(1.0).setFixedCost(3500).build();
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VehicleImpl vehicle3 = VehicleImpl.Builder.newInstance("3_1").setLocationCoord(Coordinate.newInstance(40, 40)).setType(type3).build();
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vrpBuilder.addVehicle(vehicle3);
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//set fleetsize finite - which actually the default value, thus it does not need to be set
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vrpBuilder.setFleetSize(FleetSize.INFINITE);
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//build problem
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VehicleRoutingProblem vrp = vrpBuilder.build();
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VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(vrp, "input/algorithmConfigWithSchrimpfAcceptance.xml");
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Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
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VehicleRoutingProblemSolution best = Solutions.bestOf(solutions);
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SolutionPrinter.print(vrp, best, Print.VERBOSE);
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new GraphStreamViewer(vrp, best).setRenderDelay(100).display();
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}
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}
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