Package jsprit.examples

Source Code of jsprit.examples.ConfigureAlgorithmInCodeInsteadOfPerXml

/*******************************************************************************
* Copyright (C) 2014  Stefan Schroeder
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 3.0 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library.  If not, see <http://www.gnu.org/licenses/>.
******************************************************************************/
package jsprit.examples;

import jsprit.analysis.toolbox.Plotter;
import jsprit.core.algorithm.VehicleRoutingAlgorithm;
import jsprit.core.algorithm.io.AlgorithmConfig;
import jsprit.core.algorithm.io.VehicleRoutingAlgorithms;
import jsprit.core.problem.VehicleRoutingProblem;
import jsprit.core.problem.io.VrpXMLWriter;
import jsprit.core.problem.job.Service;
import jsprit.core.problem.solution.VehicleRoutingProblemSolution;
import jsprit.core.problem.vehicle.VehicleImpl;
import jsprit.core.problem.vehicle.VehicleImpl.Builder;
import jsprit.core.problem.vehicle.VehicleType;
import jsprit.core.problem.vehicle.VehicleTypeImpl;
import jsprit.core.reporting.SolutionPrinter;
import jsprit.core.util.Coordinate;
import jsprit.core.util.Solutions;
import jsprit.util.Examples;
import org.apache.commons.configuration.XMLConfiguration;

import java.util.Collection;


public class ConfigureAlgorithmInCodeInsteadOfPerXml {
 
  public static void main(String[] args) {
    /*
     * some preparation - create output folder
     */
    Examples.createOutputFolder();
   
    /*
     * get a vehicle type-builder and build a type with the typeId "vehicleType" and a capacity of 2
     */
    VehicleTypeImpl.Builder vehicleTypeBuilder = VehicleTypeImpl.Builder.newInstance("vehicleType").addCapacityDimension(0, 2);
    VehicleType vehicleType = vehicleTypeBuilder.build();
   
    /*
     * get a vehicle-builder and build a vehicle located at (10,10) with type "vehicleType"
     */
    Builder vehicleBuilder = VehicleImpl.Builder.newInstance("vehicle");
    vehicleBuilder.setStartLocationCoordinate(Coordinate.newInstance(10, 10));
    vehicleBuilder.setType(vehicleType);
    VehicleImpl vehicle = vehicleBuilder.build();
   
    /*
     * build services at the required locations, each with a capacity-demand of 1.
     */
    Service service1 = Service.Builder.newInstance("1").addSizeDimension(0, 1).setCoord(Coordinate.newInstance(5, 7)).build();
    Service service2 = Service.Builder.newInstance("2").addSizeDimension(0, 1).setCoord(Coordinate.newInstance(5, 13)).build();
   
    Service service3 = Service.Builder.newInstance("3").addSizeDimension(0, 1).setCoord(Coordinate.newInstance(15, 7)).build();
    Service service4 = Service.Builder.newInstance("4").addSizeDimension(0, 1).setCoord(Coordinate.newInstance(15, 13)).build();
   
   
    VehicleRoutingProblem.Builder vrpBuilder = VehicleRoutingProblem.Builder.newInstance();
    vrpBuilder.addVehicle(vehicle);
    vrpBuilder.addJob(service1).addJob(service2).addJob(service3).addJob(service4);
   
    VehicleRoutingProblem problem = vrpBuilder.build();
   
    /*
     * get the algorithm out-of-the-box.
     */
    AlgorithmConfig algorithmConfig = getAlgorithmConfig();
    VehicleRoutingAlgorithm algorithm = VehicleRoutingAlgorithms.createAlgorithm(problem,algorithmConfig);
   
    /*
     * and search a solution
     */
    Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
   
    /*
     * get the best
     */
    VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
   
    new VrpXMLWriter(problem, solutions).write("output/problem-with-solution.xml");
   
    SolutionPrinter.print(bestSolution);
   
    /*
     * plot
     */
    new Plotter(problem,bestSolution).plot("output/solution.png", "solution");
  }

  private static AlgorithmConfig getAlgorithmConfig() {
    AlgorithmConfig config = new AlgorithmConfig();
    XMLConfiguration xmlConfig = config.getXMLConfiguration();
    xmlConfig.setProperty("iterations", 2000);
    xmlConfig.setProperty("construction.insertion[@name]","bestInsertion");
   
    xmlConfig.setProperty("strategy.memory", 1);
    String searchStrategy = "strategy.searchStrategies.searchStrategy";
   
    xmlConfig.setProperty(searchStrategy + "(0).selector[@name]","selectBest");
    xmlConfig.setProperty(searchStrategy + "(0).acceptor[@name]","acceptNewRemoveWorst");
    xmlConfig.setProperty(searchStrategy + "(0).modules.module(0)[@name]","ruin_and_recreate");
    xmlConfig.setProperty(searchStrategy + "(0).modules.module(0).ruin[@name]","randomRuin");
    xmlConfig.setProperty(searchStrategy + "(0).modules.module(0).ruin.share","0.3");
    xmlConfig.setProperty(searchStrategy + "(0).modules.module(0).insertion[@name]","bestInsertion");
    xmlConfig.setProperty(searchStrategy + "(0).probability","0.5");
   
    xmlConfig.setProperty(searchStrategy + "(1).selector[@name]","selectBest");
    xmlConfig.setProperty(searchStrategy + "(1).acceptor[@name]","acceptNewRemoveWorst");
    xmlConfig.setProperty(searchStrategy + "(1).modules.module(0)[@name]","ruin_and_recreate");
    xmlConfig.setProperty(searchStrategy + "(1).modules.module(0).ruin[@name]","radialRuin");
    xmlConfig.setProperty(searchStrategy + "(1).modules.module(0).ruin.share","0.15");
    xmlConfig.setProperty(searchStrategy + "(1).modules.module(0).insertion[@name]","bestInsertion");
    xmlConfig.setProperty(searchStrategy + "(1).probability","0.5");
   
    return config;
  }

}
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