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add MultipleDepotExamples
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4 changed files with 209 additions and 368 deletions
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package examples;
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import java.util.Arrays;
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import java.util.Collection;
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import util.Coordinate;
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import util.Solutions;
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import algorithms.VehicleRoutingAlgorithms;
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import analysis.AlgorithmSearchProgressChartListener;
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import analysis.SolutionPlotter;
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import analysis.SolutionPrinter;
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import basics.VehicleRoutingAlgorithm;
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import basics.VehicleRoutingProblem;
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import basics.VehicleRoutingProblem.FleetSize;
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import basics.VehicleRoutingProblemSolution;
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import basics.io.VrpXMLReader;
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import basics.route.Vehicle;
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import basics.route.VehicleImpl;
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import basics.route.VehicleImpl.VehicleType;
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public class MultipleDepotExample {
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/**
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* @param args
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*/
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public static void main(String[] args) {
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VehicleRoutingProblem.Builder vrpBuilder = VehicleRoutingProblem.Builder.newInstance();
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/*
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* Read cordeau-instance p01, BUT only its services without any vehicles
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*/
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new VrpXMLReader(vrpBuilder).read("input/vrp_cordeau_01.xml");
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/*
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* add vehicles with its depots
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* 4 depots:
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* (20,20)
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* (30,40)
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* (50,30)
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* (60,50)
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*
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* each with 4 vehicles each with a capacity of 80
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*/
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int nuOfVehicles = 4;
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int capacity = 80;
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Coordinate firstDepotCoord = Coordinate.newInstance(20, 20);
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Coordinate second = Coordinate.newInstance(30, 40);
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Coordinate third = Coordinate.newInstance(50, 30);
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Coordinate fourth = Coordinate.newInstance(60, 50);
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int depotCounter = 1;
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for(Coordinate depotCoord : Arrays.asList(firstDepotCoord,second,third,fourth)){
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for(int i=0;i<nuOfVehicles;i++){
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VehicleType vehicleType = VehicleType.Builder.newInstance(depotCounter + "_" + (i+1) + "_type", capacity).setCostPerDistance(1.0).build();
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Vehicle vehicle = VehicleImpl.VehicleBuilder.newInstance(depotCounter + "_" + (i+1) + "_vehicle").setLocationCoord(depotCoord).setType(vehicleType).build();
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vrpBuilder.addVehicle(vehicle);
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}
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depotCounter++;
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}
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/*
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* define problem with finite fleet
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*/
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vrpBuilder.setFleetSize(FleetSize.FINITE);
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/*
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* build the problem
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*/
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VehicleRoutingProblem vrp = vrpBuilder.build();
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/*
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* plot to see how the problem looks like
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*/
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SolutionPlotter.plotVrpAsPNG(vrp, "output/problem01.png", "p01");
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/*
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* solve the problem
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*/
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VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(vrp, "input/algorithmConfig.xml");
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Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
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SolutionPrinter.print(Solutions.getBest(solutions));
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SolutionPlotter.plotSolutionAsPNG(vrp, Solutions.getBest(solutions), "output/p01_solution.png", "p01");
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}
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}
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package examples;
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import java.util.Arrays;
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import java.util.Collection;
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import util.Coordinate;
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import util.Solutions;
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import algorithms.VehicleRoutingAlgorithms;
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import analysis.AlgorithmSearchProgressChartListener;
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import analysis.SolutionPlotter;
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import analysis.SolutionPrinter;
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import basics.VehicleRoutingAlgorithm;
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import basics.VehicleRoutingProblem;
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import basics.VehicleRoutingProblem.FleetSize;
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import basics.VehicleRoutingProblemSolution;
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import basics.io.VrpXMLReader;
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import basics.route.Vehicle;
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import basics.route.VehicleImpl;
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import basics.route.VehicleImpl.VehicleType;
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public class MultipleDepotExampleWithPenaltyVehicles {
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/**
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* @param args
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*/
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public static void main(String[] args) {
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VehicleRoutingProblem.Builder vrpBuilder = VehicleRoutingProblem.Builder.newInstance();
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/*
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* Read cordeau-instance p01, BUT only its services without any vehicles
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*/
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new VrpXMLReader(vrpBuilder).read("input/vrp_cordeau_08.xml");
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/*
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* add vehicles with its depots
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* 2 depots:
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* (-33,33)
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* (33,-33)
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*
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* each with 14 vehicles each with a capacity of 500 and a maximum duration of 310
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*/
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int nuOfVehicles = 14;
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int capacity = 500;
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double maxDuration = 310;
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Coordinate firstDepotCoord = Coordinate.newInstance(-33, 33);
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Coordinate second = Coordinate.newInstance(33, -33);
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/*
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* number of penalty vehicles
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*/
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int nuOfPenaltyVehicles = 4;
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int depotCounter = 1;
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for(Coordinate depotCoord : Arrays.asList(firstDepotCoord,second)){
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for(int i=0;i<nuOfVehicles;i++){
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VehicleType vehicleType = VehicleType.Builder.newInstance(depotCounter + "_" + (i+1) + "_type", capacity).setCostPerDistance(1.0).build();
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String vehicleId = depotCounter + "_" + (i+1) + "_vehicle";
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VehicleImpl.VehicleBuilder vehicleBuilder = VehicleImpl.VehicleBuilder.newInstance(vehicleId);
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vehicleBuilder.setLocationCoord(depotCoord);
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vehicleBuilder.setType(vehicleType);
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vehicleBuilder.setLatestArrival(maxDuration);
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Vehicle vehicle = vehicleBuilder.build();
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vrpBuilder.addVehicle(vehicle);
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}
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for(int i=0;i<nuOfPenaltyVehicles;i++){
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VehicleType penaltyType = VehicleType.Builder.newInstance(depotCounter + "_" + (i+1) + "_penaltyType", capacity).setFixedCost(50).setCostPerDistance(3.0).build();
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String vehicleId = depotCounter + "_" + (i+1) + "_penaltyVehicle";
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VehicleImpl.VehicleBuilder vehicleBuilder = VehicleImpl.VehicleBuilder.newInstance(vehicleId);
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vehicleBuilder.setLocationCoord(depotCoord);
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vehicleBuilder.setType(penaltyType);
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vehicleBuilder.setLatestArrival(maxDuration);
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Vehicle penaltyVehicle = vehicleBuilder.build();
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vrpBuilder.addVehicle(penaltyVehicle);
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}
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depotCounter++;
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}
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/*
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* define problem with finite fleet
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*/
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vrpBuilder.setFleetSize(FleetSize.FINITE);
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/*
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* build the problem
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*/
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VehicleRoutingProblem vrp = vrpBuilder.build();
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/*
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* plot to see how the problem looks like
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*/
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SolutionPlotter.plotVrpAsPNG(vrp, "output/problem08.png", "p08");
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/*
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* solve the problem
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*/
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VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(vrp, "input/algorithmConfig.xml");
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Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
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SolutionPrinter.print(Solutions.getBest(solutions));
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SolutionPlotter.plotSolutionAsPNG(vrp, Solutions.getBest(solutions), "output/p08_solution.png", "p08");
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}
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}
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