mirror of
https://github.com/graphhopper/jsprit.git
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Merge branch 'master' into driver-breaks
This commit is contained in:
commit
4925231e03
45 changed files with 152 additions and 175 deletions
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@ -0,0 +1,61 @@
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package jsprit.core.algorithm.box;
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import jsprit.core.algorithm.listener.IterationStartsListener;
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import jsprit.core.problem.VehicleRoutingProblem;
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import jsprit.core.problem.constraint.SoftActivityConstraint;
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import jsprit.core.problem.misc.JobInsertionContext;
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import jsprit.core.problem.solution.VehicleRoutingProblemSolution;
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import jsprit.core.problem.solution.route.activity.TourActivity;
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import jsprit.core.util.RandomNumberGeneration;
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import java.util.Collection;
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import java.util.Random;
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/**
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* Created by schroeder on 16/01/15.
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*/
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class ConcurrentInsertionNoiseMaker implements SoftActivityConstraint, IterationStartsListener {
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private final double noiseProbability;
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private boolean makeNoise = false;
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private double noiseLevel = 0.1;
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private Random random = RandomNumberGeneration.newInstance();
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private Random[] randomArray;
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private double maxCosts;
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ConcurrentInsertionNoiseMaker(VehicleRoutingProblem vrp, double maxCosts, double noiseLevel, double noiseProbability) {
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this.noiseLevel = noiseLevel;
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this.noiseProbability = noiseProbability;
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this.maxCosts = maxCosts;
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randomArray = new Random[vrp.getNuActivities() + 2];
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for (int i = 0; i < randomArray.length; i++) {
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Random r = new Random();
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r.setSeed(random.nextLong());
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randomArray[i] = r;
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}
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}
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@Override
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public void informIterationStarts(int i, VehicleRoutingProblem problem, Collection<VehicleRoutingProblemSolution> solutions) {
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if (random.nextDouble() < noiseProbability) {
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makeNoise = true;
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} else makeNoise = false;
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}
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@Override
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public double getCosts(JobInsertionContext iFacts, TourActivity prevAct, TourActivity newAct, TourActivity nextAct, double prevActDepTime) {
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if (makeNoise) {
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return noiseLevel * maxCosts * randomArray[newAct.getIndex()].nextDouble();
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}
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return 0;
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}
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public void setRandom(Random random) {
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this.random = random;
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}
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}
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@ -1,91 +0,0 @@
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package jsprit.core.algorithm.box;
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import jsprit.core.algorithm.listener.IterationStartsListener;
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import jsprit.core.problem.Location;
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import jsprit.core.problem.VehicleRoutingProblem;
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import jsprit.core.problem.constraint.SoftActivityConstraint;
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import jsprit.core.problem.job.Job;
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import jsprit.core.problem.job.Service;
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import jsprit.core.problem.job.Shipment;
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import jsprit.core.problem.misc.JobInsertionContext;
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import jsprit.core.problem.solution.VehicleRoutingProblemSolution;
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import jsprit.core.problem.solution.route.activity.TourActivity;
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import jsprit.core.util.RandomNumberGeneration;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.List;
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import java.util.Random;
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/**
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* Created by schroeder on 16/01/15.
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*/
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class InsertionNoiseMaker implements SoftActivityConstraint, IterationStartsListener {
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private final double noiseProbability;
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private boolean makeNoise = false;
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private VehicleRoutingProblem vrp;
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double maxCosts = 0.;
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private double noiseLevel = 0.1;
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private Random random = RandomNumberGeneration.getRandom();
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public InsertionNoiseMaker(VehicleRoutingProblem vrp, double noiseLevel, double noiseProbability) {
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this.vrp = vrp;
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this.noiseLevel = noiseLevel;
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this.noiseProbability = noiseProbability;
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determineMaxCosts(vrp);
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}
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//@ToDo refactor determining max costs to allow skipping this
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private void determineMaxCosts(VehicleRoutingProblem vrp) {
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double max = 0.;
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for (Job i : vrp.getJobs().values()) {
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List<Location> fromLocations = getLocations(i);
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for (Job j : vrp.getJobs().values()) {
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List<Location> toLocations = getLocations(j);
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for (Location iLoc : fromLocations) {
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for (Location jLoc : toLocations) {
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max = Math.max(max, vrp.getTransportCosts().getTransportCost(iLoc, jLoc, 0, null, vrp.getVehicles().iterator().next()));
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}
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}
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}
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}
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maxCosts = max;
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}
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private List<Location> getLocations(Job j) {
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List<Location> locs = new ArrayList<Location>();
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if (j instanceof Service) {
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locs.add(((Service) j).getLocation());
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} else if (j instanceof Shipment) {
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locs.add(((Shipment) j).getPickupLocation());
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locs.add(((Shipment) j).getDeliveryLocation());
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}
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return locs;
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}
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@Override
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public void informIterationStarts(int i, VehicleRoutingProblem problem, Collection<VehicleRoutingProblemSolution> solutions) {
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if (random.nextDouble() < noiseProbability) {
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makeNoise = true;
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} else makeNoise = false;
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}
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@Override
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public double getCosts(JobInsertionContext iFacts, TourActivity prevAct, TourActivity newAct, TourActivity nextAct, double prevActDepTime) {
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if (makeNoise) {
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return noiseLevel * maxCosts * random.nextDouble();
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}
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return 0;
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}
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public void setRandom(Random random) {
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this.random = random;
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}
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}
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@ -309,14 +309,29 @@ public class Jsprit {
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constraintManager = new ConstraintManager(vrp, stateManager);
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}
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if (noThreads == null) {
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noThreads = toInteger(getProperty(Parameter.THREADS.toString()));
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}
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if (noThreads > 1) {
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if (es == null) {
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setupExecutorInternally = true;
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es = Executors.newFixedThreadPool(noThreads);
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}
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}
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double noiseLevel = toDouble(getProperty(Parameter.INSERTION_NOISE_LEVEL.toString()));
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double noiseProbability = toDouble(getProperty(Parameter.INSERTION_NOISE_PROB.toString()));
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final InsertionNoiseMaker noiseMaker = new InsertionNoiseMaker(vrp, noiseLevel, noiseProbability);
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noiseMaker.setRandom(random);
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constraintManager.addConstraint(noiseMaker);
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JobNeighborhoods jobNeighborhoods = new JobNeighborhoodsFactory().createNeighborhoods(vrp, new AvgServiceAndShipmentDistance(vrp.getTransportCosts()), (int) (vrp.getJobs().values().size() * 0.5));
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jobNeighborhoods.initialise();
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final double maxCosts = jobNeighborhoods.getMaxDistance();
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IterationStartsListener noiseConfigurator;
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ConcurrentInsertionNoiseMaker noiseMaker = new ConcurrentInsertionNoiseMaker(vrp, maxCosts, noiseLevel, noiseProbability);
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noiseMaker.setRandom(random);
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constraintManager.addConstraint(noiseMaker);
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noiseConfigurator = noiseMaker;
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RuinRadial radial = new RuinRadial(vrp, vrp.getJobs().size(), jobNeighborhoods);
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radial.setRandom(random);
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@ -357,7 +372,7 @@ public class Jsprit {
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public double makeNoise() {
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if (random.nextDouble() < toDouble(getProperty(Parameter.RUIN_WORST_NOISE_PROB.toString()))) {
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return toDouble(getProperty(Parameter.RUIN_WORST_NOISE_LEVEL.toString()))
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* noiseMaker.maxCosts * random.nextDouble();
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* maxCosts * random.nextDouble();
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} else return 0.;
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}
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});
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@ -374,15 +389,7 @@ public class Jsprit {
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AbstractInsertionStrategy regret;
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final RegretInsertion.DefaultScorer scorer;
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if (noThreads == null) {
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noThreads = toInteger(getProperty(Parameter.THREADS.toString()));
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}
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if (noThreads > 1) {
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if (es == null) {
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setupExecutorInternally = true;
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es = Executors.newFixedThreadPool(noThreads);
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}
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}
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if (es != null) {
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RegretInsertionConcurrent regretInsertion = (RegretInsertionConcurrent) new InsertionBuilder(vrp, fm, stateManager, constraintManager)
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.setInsertionStrategy(InsertionBuilder.Strategy.REGRET)
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@ -435,7 +442,7 @@ public class Jsprit {
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}
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};
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SolutionCostCalculator objectiveFunction = getObjectiveFunction(vrp, noiseMaker.maxCosts);
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SolutionCostCalculator objectiveFunction = getObjectiveFunction(vrp, maxCosts);
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SearchStrategy radial_regret = new SearchStrategy(Strategy.RADIAL_REGRET.toString(), new SelectBest(), schrimpfAcceptance, objectiveFunction);
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radial_regret.addModule(new RuinAndRecreateModule(Strategy.RADIAL_REGRET.toString(), regret, radial));
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@ -483,7 +490,7 @@ public class Jsprit {
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VehicleRoutingAlgorithm vra = prettyBuilder.build();
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vra.addListener(schrimpfThreshold);
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vra.addListener(noiseMaker);
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vra.addListener(noiseConfigurator);
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vra.addListener(noise);
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vra.addListener(clusters);
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vra.addListener(new RuinBreaks());
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@ -13,4 +13,6 @@ public interface JobNeighborhoods {
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public void initialise();
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public double getMaxDistance();
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}
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@ -22,6 +22,8 @@ class JobNeighborhoodsImpl implements JobNeighborhoods {
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private JobDistance jobDistance;
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private double maxDistance = 0.;
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public JobNeighborhoodsImpl(VehicleRoutingProblem vrp, JobDistance jobDistance) {
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super();
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this.vrp = vrp;
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@ -58,6 +60,11 @@ class JobNeighborhoodsImpl implements JobNeighborhoods {
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calculateDistancesFromJob2Job();
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}
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@Override
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public double getMaxDistance() {
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return 0;
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}
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private void calculateDistancesFromJob2Job() {
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logger.debug("preprocess distances between locations ...");
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StopWatch stopWatch = new StopWatch();
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@ -79,6 +86,7 @@ class JobNeighborhoodsImpl implements JobNeighborhoods {
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for (Job j : vrp.getJobs().values()) {
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if (i == j) continue;
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double distance = jobDistance.getDistance(i, j);
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if (distance > maxDistance) maxDistance = distance;
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ReferencedJob refNode = new ReferencedJob(j, distance);
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treeSet.add(refNode);
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nuOfDistancesStored++;
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@ -24,12 +24,14 @@ class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
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private int capacity;
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private double maxDistance = 0.;
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public JobNeighborhoodsImplWithCapRestriction(VehicleRoutingProblem vrp, JobDistance jobDistance, int capacity) {
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super();
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this.vrp = vrp;
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this.jobDistance = jobDistance;
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this.capacity = capacity;
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logger.debug("intialise {}", this);
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logger.debug("initialize {}", this);
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}
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@Override
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@ -64,6 +66,11 @@ class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
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calculateDistancesFromJob2Job();
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}
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@Override
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public double getMaxDistance() {
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return maxDistance;
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}
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private void calculateDistancesFromJob2Job() {
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logger.debug("preprocess distances between locations ...");
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StopWatch stopWatch = new StopWatch();
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@ -85,6 +92,7 @@ class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
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for (Job j : vrp.getJobs().values()) {
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if (i == j) continue;
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double distance = jobDistance.getDistance(i, j);
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if (distance > maxDistance) maxDistance = distance;
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ReferencedJob refNode = new ReferencedJob(j, distance);
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if (treeSet.size() < capacity) {
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treeSet.add(refNode);
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@ -97,8 +97,8 @@ public class UpdateVehicleDependentPracticalTimeWindows implements RouteVisitor,
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double potentialLatestArrivalTimeAtCurrAct = latestArrTimeAtPrevAct - transportCosts.getBackwardTransportTime(activity.getLocation(), prevLocation,
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latestArrTimeAtPrevAct, route.getDriver(), vehicle) - activity.getOperationTime();
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double latestArrivalTime = Math.min(activity.getTheoreticalLatestOperationStartTime(), potentialLatestArrivalTimeAtCurrAct);
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if(latestArrivalTime < activity.getTheoreticalEarliestOperationStartTime()){
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stateManager.putTypedInternalRouteState(route,vehicle,InternalStates.SWITCH_NOT_FEASIBLE,true);
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if (latestArrivalTime < activity.getTheoreticalEarliestOperationStartTime()) {
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stateManager.putTypedInternalRouteState(route, vehicle, InternalStates.SWITCH_NOT_FEASIBLE, true);
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}
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stateManager.putInternalTypedActivityState(activity, vehicle, InternalStates.LATEST_OPERATION_START_TIME, latestArrivalTime);
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latest_arrTimes_at_prevAct[vehicle.getVehicleTypeIdentifier().getIndex()] = latestArrivalTime;
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|
|
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|
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@ -7,7 +7,7 @@ import jsprit.core.problem.misc.JobInsertionContext;
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/**
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* Created by schroeder on 19/09/15.
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*/
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public class SwitchNotFeasible implements HardRouteConstraint{
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public class SwitchNotFeasible implements HardRouteConstraint {
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private StateManager stateManager;
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@ -17,8 +17,9 @@ public class SwitchNotFeasible implements HardRouteConstraint{
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@Override
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public boolean fulfilled(JobInsertionContext insertionContext) {
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Boolean notFeasible = stateManager.getRouteState(insertionContext.getRoute(),insertionContext.getNewVehicle(), InternalStates.SWITCH_NOT_FEASIBLE,Boolean.class);
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if(notFeasible == null || insertionContext.getRoute().getVehicle().getVehicleTypeIdentifier().equals(insertionContext.getNewVehicle().getVehicleTypeIdentifier())) return true;
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Boolean notFeasible = stateManager.getRouteState(insertionContext.getRoute(), insertionContext.getNewVehicle(), InternalStates.SWITCH_NOT_FEASIBLE, Boolean.class);
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if (notFeasible == null || insertionContext.getRoute().getVehicle().getVehicleTypeIdentifier().equals(insertionContext.getNewVehicle().getVehicleTypeIdentifier()))
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return true;
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else return !notFeasible;
|
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}
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|
||||
|
|
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|
|
@ -107,7 +107,7 @@ class TimeWindowConstraint implements HardActivityConstraint {
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routingCosts.getBackwardTransportTime(nextActLocation, newAct.getLocation(), latestArrTimeAtNextAct, iFacts.getNewDriver(),
|
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iFacts.getNewVehicle()) - newAct.getOperationTime());
|
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/*
|
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* |--- prevAct ---|
|
||||
* |--- prevAct ---|
|
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* |--- vehicle's arrival @newAct
|
||||
* latest arrival of vehicle @newAct ---|
|
||||
*/
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||||
|
|
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|||
|
|
@ -66,36 +66,20 @@ public class TourActivities {
|
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}
|
||||
}
|
||||
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||||
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public static TourActivities emptyTour() {
|
||||
return new TourActivities();
|
||||
}
|
||||
|
||||
private final ArrayList<TourActivity> tourActivities = new ArrayList<TourActivity>();
|
||||
|
||||
private final Set<Job> jobs = new HashSet<Job>();
|
||||
|
||||
private final Set<TourActivity> activities = new HashSet<TourActivity>();
|
||||
|
||||
private ReverseActivityIterator backward;
|
||||
|
||||
private TourActivities(TourActivities tour2copy) {
|
||||
for (TourActivity tourAct : tour2copy.getActivities()) {
|
||||
TourActivity newAct = tourAct.duplicate();
|
||||
this.tourActivities.add(newAct);
|
||||
addToActivitySet(newAct);
|
||||
addJob(newAct);
|
||||
}
|
||||
}
|
||||
|
||||
private void addToActivitySet(TourActivity newAct) {
|
||||
activities.add(newAct);
|
||||
}
|
||||
|
||||
private void removeFromActivitySet(TourActivity act) {
|
||||
activities.remove(act);
|
||||
}
|
||||
|
||||
public TourActivities() {
|
||||
|
||||
}
|
||||
|
|
@ -148,7 +132,6 @@ public class TourActivities {
|
|||
if (c instanceof JobActivity) {
|
||||
if (job.equals(((JobActivity) c).getJob())) {
|
||||
tourActivities.remove(c);
|
||||
removeFromActivitySet(c);
|
||||
activityRemoved = true;
|
||||
}
|
||||
}
|
||||
|
|
@ -163,8 +146,9 @@ public class TourActivities {
|
|||
* @param activity to be looked up
|
||||
* @return true if this contains specified activity, false otherwise
|
||||
*/
|
||||
@Deprecated
|
||||
public boolean hasActivity(TourActivity activity) {
|
||||
return activities.contains(activity);
|
||||
return tourActivities.contains(activity);
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -185,7 +169,6 @@ public class TourActivities {
|
|||
for (TourActivity act : acts) {
|
||||
if (act == activity) {
|
||||
tourActivities.remove(act);
|
||||
removeFromActivitySet(act);
|
||||
actRemoved = true;
|
||||
} else {
|
||||
if (act instanceof JobActivity && job != null) {
|
||||
|
|
@ -228,7 +211,6 @@ public class TourActivities {
|
|||
} else if (insertionIndex >= tourActivities.size()) {
|
||||
tourActivities.add(act);
|
||||
}
|
||||
addToActivitySet(act);
|
||||
addJob(act);
|
||||
}
|
||||
|
||||
|
|
@ -243,7 +225,6 @@ public class TourActivities {
|
|||
if (tourActivities.contains(act))
|
||||
throw new IllegalStateException("act " + act + " already in tour. cannot add act twice.");
|
||||
tourActivities.add(act);
|
||||
addToActivitySet(act);
|
||||
addJob(act);
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -119,7 +119,7 @@ public class FastVehicleRoutingTransportCostsMatrix extends AbstractForwardVehic
|
|||
*
|
||||
* @return
|
||||
*/
|
||||
public double[][][] getMatrix(){
|
||||
public double[][][] getMatrix() {
|
||||
return matrix;
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -560,7 +560,7 @@ public class MeetTimeWindowConstraint_IT {
|
|||
VehicleRoutingAlgorithm algorithm = Jsprit.Builder.newInstance(vrp).buildAlgorithm();
|
||||
algorithm.setMaxIterations(1000);
|
||||
VehicleRoutingProblemSolution solution = Solutions.bestOf(algorithm.searchSolutions());
|
||||
for(VehicleRoute r : solution.getRoutes()){
|
||||
for (VehicleRoute r : solution.getRoutes()) {
|
||||
assertTrue(r.getVehicle().getEarliestDeparture() <= r.getDepartureTime());
|
||||
assertTrue(r.getVehicle().getLatestArrival() >= r.getEnd().getArrTime());
|
||||
}
|
||||
|
|
@ -576,7 +576,7 @@ public class MeetTimeWindowConstraint_IT {
|
|||
VehicleRoutingAlgorithm algorithm = new SchrimpfFactory().createAlgorithm(vrp);
|
||||
algorithm.setMaxIterations(1000);
|
||||
VehicleRoutingProblemSolution solution = Solutions.bestOf(algorithm.searchSolutions());
|
||||
for(VehicleRoute r : solution.getRoutes()){
|
||||
for (VehicleRoute r : solution.getRoutes()) {
|
||||
assertTrue(r.getVehicle().getEarliestDeparture() <= r.getDepartureTime());
|
||||
assertTrue(r.getVehicle().getLatestArrival() >= r.getEnd().getArrTime());
|
||||
}
|
||||
|
|
@ -592,20 +592,20 @@ public class MeetTimeWindowConstraint_IT {
|
|||
VehicleRoutingAlgorithm algorithm = new GreedySchrimpfFactory().createAlgorithm(vrp);
|
||||
algorithm.setMaxIterations(1000);
|
||||
VehicleRoutingProblemSolution solution = Solutions.bestOf(algorithm.searchSolutions());
|
||||
for(VehicleRoute r : solution.getRoutes()){
|
||||
for (VehicleRoute r : solution.getRoutes()) {
|
||||
assertTrue(r.getVehicle().getEarliestDeparture() <= r.getDepartureTime());
|
||||
assertTrue(r.getVehicle().getLatestArrival() >= r.getEnd().getArrTime());
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
private FastVehicleRoutingTransportCostsMatrix createMatrix() throws IOException {
|
||||
BufferedReader reader = new BufferedReader(new FileReader(new File("src/test/resources/matrix.txt")));
|
||||
String line;
|
||||
FastVehicleRoutingTransportCostsMatrix.Builder builder = FastVehicleRoutingTransportCostsMatrix.Builder.newInstance(11,false);
|
||||
while((line = reader.readLine()) != null){
|
||||
FastVehicleRoutingTransportCostsMatrix.Builder builder = FastVehicleRoutingTransportCostsMatrix.Builder.newInstance(11, false);
|
||||
while ((line = reader.readLine()) != null) {
|
||||
String[] split = line.split("\t");
|
||||
builder.addTransportDistance(Integer.parseInt(split[0]),Integer.parseInt(split[1]),Double.parseDouble(split[2]));
|
||||
builder.addTransportDistance(Integer.parseInt(split[0]), Integer.parseInt(split[1]), Double.parseDouble(split[2]));
|
||||
builder.addTransportTime(Integer.parseInt(split[0]), Integer.parseInt(split[1]), Double.parseDouble(split[3]));
|
||||
}
|
||||
return builder.build();
|
||||
|
|
|
|||
|
|
@ -167,7 +167,7 @@ public class RefuseCollectionWithCostsHigherThanTimesAndFiniteFleet_IT {
|
|||
}
|
||||
String[] lineTokens = line.split(",");
|
||||
/*
|
||||
* build service
|
||||
* build service
|
||||
*/
|
||||
Service service = Service.Builder.newInstance(lineTokens[0]).addSizeDimension(0, Integer.parseInt(lineTokens[1]))
|
||||
.setLocation(Location.newInstance(lineTokens[0])).build();
|
||||
|
|
|
|||
|
|
@ -167,7 +167,7 @@ public class RefuseCollectionWithCostsHigherThanTimesAndFiniteFleet_withTimeAndD
|
|||
}
|
||||
String[] lineTokens = line.split(",");
|
||||
/*
|
||||
* build service
|
||||
* build service
|
||||
*/
|
||||
Service service = Service.Builder.newInstance(lineTokens[0]).addSizeDimension(0, Integer.parseInt(lineTokens[1]))
|
||||
.setLocation(Location.newInstance(lineTokens[0])).build();
|
||||
|
|
|
|||
|
|
@ -115,7 +115,7 @@ public class RefuseCollection_IT {
|
|||
vrpBuilder.addVehicle(bigVehicle);
|
||||
|
||||
/*
|
||||
* create cost-matrix
|
||||
* create cost-matrix
|
||||
*/
|
||||
VehicleRoutingTransportCostsMatrix.Builder matrixBuilder = VehicleRoutingTransportCostsMatrix.Builder.newInstance(true);
|
||||
/*
|
||||
|
|
|
|||
|
|
@ -409,7 +409,7 @@ public class TestLocalActivityInsertionCostsCalculator {
|
|||
//new: 50 - 50 = 0
|
||||
|
||||
/*
|
||||
activity start time delay at next act = start-time-old - start-time-new is always bigger than subsequent waiting time savings
|
||||
activity start time delay at next act = start-time-old - start-time-new is always bigger than subsequent waiting time savings
|
||||
*/
|
||||
/*
|
||||
old = 10 + 30 + 10 = 50
|
||||
|
|
|
|||
|
|
@ -109,7 +109,7 @@ public class TestMixedServiceAndShipmentsProblemOnRouteLevel {
|
|||
VehicleType vehicleType = vehicleTypeBuilder.build();
|
||||
|
||||
/*
|
||||
* get a vehicle-builder and build a vehicle located at (10,10) with type "vehicleType"
|
||||
* get a vehicle-builder and build a vehicle located at (10,10) with type "vehicleType"
|
||||
*/
|
||||
Builder vehicleBuilder = VehicleImpl.Builder.newInstance("vehicle");
|
||||
vehicleBuilder.setStartLocation(Location.newInstance(10, 10));
|
||||
|
|
|
|||
|
|
@ -87,7 +87,7 @@ public class ConfigureAlgorithmInCodeInsteadOfPerXml {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -126,7 +126,7 @@ public class EnRoutePickupAndDeliveryWithMultipleDepotsAndOpenRoutesExample {
|
|||
VehicleRoutingAlgorithm algorithm = VehicleRoutingAlgorithms.readAndCreateAlgorithm(problem, "input/algorithmConfig.xml");
|
||||
// algorithm.setMaxIterations(30000);
|
||||
/*
|
||||
* and search a solution
|
||||
* and search a solution
|
||||
*/
|
||||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
|
|
|
|||
|
|
@ -91,7 +91,7 @@ public class MultipleDepotExample {
|
|||
VehicleRoutingProblem vrp = vrpBuilder.build();
|
||||
|
||||
/*
|
||||
* plot to see how the problem looks like
|
||||
* plot to see how the problem looks like
|
||||
*/
|
||||
// SolutionPlotter.plotVrpAsPNG(vrp, "output/problem01.png", "p01");
|
||||
|
||||
|
|
|
|||
|
|
@ -97,7 +97,7 @@ public class MultipleDepotExample2 {
|
|||
VehicleRoutingProblem vrp = vrpBuilder.build();
|
||||
|
||||
/*
|
||||
* plot to see how the problem looks like
|
||||
* plot to see how the problem looks like
|
||||
*/
|
||||
// SolutionPlotter.plotVrpAsPNG(vrp, "output/problem08.png", "p08");
|
||||
|
||||
|
|
|
|||
|
|
@ -62,7 +62,7 @@ public class MultipleDepotWithInitialRoutesExample {
|
|||
*/
|
||||
VehicleRoutingProblem vrp = vrpBuilder.build();
|
||||
/*
|
||||
* since job (service) 26 and 44 are already planned in initial route and thus static AND sequence is fixed they
|
||||
* since job (service) 26 and 44 are already planned in initial route and thus static AND sequence is fixed they
|
||||
* should not be in jobMap anymore (only variable jobs are in jobMap)
|
||||
*/
|
||||
assert !vrp.getJobs().containsKey("26") : "strange. service 26 should not be part of the problem";
|
||||
|
|
|
|||
|
|
@ -72,7 +72,7 @@ public class PickupAndDeliveryExample {
|
|||
VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(vrp, "input/algorithmConfig_solomon.xml");
|
||||
vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
* Solve the problem.
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -78,7 +78,7 @@ public class PickupAndDeliveryExample2 {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
|
||||
|
||||
/*
|
||||
* Retrieve best solution.
|
||||
* Retrieve best solution.
|
||||
*/
|
||||
VehicleRoutingProblemSolution solution = new SelectBest().selectSolution(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -69,7 +69,7 @@ public class PickupAndDeliveryOpenExample {
|
|||
VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(vrp, "input/algorithmConfig_open.xml");
|
||||
vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
* Solve the problem.
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -110,7 +110,7 @@ public class RefuseCollectionExample {
|
|||
}
|
||||
String[] lineTokens = line.split(",");
|
||||
/*
|
||||
* build service
|
||||
* build service
|
||||
*/
|
||||
Service service = Service.Builder.newInstance(lineTokens[0]).addSizeDimension(0, Integer.parseInt(lineTokens[1])).setLocation(Location.newInstance(lineTokens[0])).build();
|
||||
/*
|
||||
|
|
|
|||
|
|
@ -109,7 +109,7 @@ public class RefuseCollectionWithFastMatrixExample {
|
|||
}
|
||||
String[] lineTokens = line.split(",");
|
||||
/*
|
||||
* build service
|
||||
* build service
|
||||
*/
|
||||
Service service = Service.Builder.newInstance(lineTokens[0])
|
||||
.addSizeDimension(0, Integer.parseInt(lineTokens[1]))
|
||||
|
|
|
|||
|
|
@ -109,7 +109,7 @@ public class ServicePickupsWithMultipleDepotsExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -88,7 +88,7 @@ public class SimpleDepotBoundedPickupAndDeliveryExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -93,7 +93,7 @@ public class SimpleEnRoutePickupAndDeliveryExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -93,7 +93,7 @@ public class SimpleEnRoutePickupAndDeliveryOpenRoutesExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -97,7 +97,7 @@ public class SimpleEnRoutePickupAndDeliveryWithDepotBoundedDeliveriesExample {
|
|||
VehicleRoutingProblem problem = vrpBuilder.build();
|
||||
|
||||
/*
|
||||
* build the algorithm
|
||||
* build the algorithm
|
||||
*/
|
||||
VehicleRoutingAlgorithmBuilder vraBuilder = new VehicleRoutingAlgorithmBuilder(problem, "input/algorithmConfig.xml");
|
||||
vraBuilder.addCoreConstraints();
|
||||
|
|
|
|||
|
|
@ -93,7 +93,7 @@ public class SimpleExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -87,7 +87,7 @@ public class SimpleExampleOpenRoutes {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -115,7 +115,7 @@ public class SimpleExampleWithSkills {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
/*
|
||||
* get the best
|
||||
* get the best
|
||||
*/
|
||||
VehicleRoutingProblemSolution bestSolution = Solutions.bestOf(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -103,7 +103,7 @@ public class SimpleVRPWithBackhaulsExample {
|
|||
SolutionPrinter.print(bestSolution);
|
||||
|
||||
/*
|
||||
* plot
|
||||
* plot
|
||||
*/
|
||||
Plotter plotter = new Plotter(problem, bestSolution);
|
||||
plotter.setLabel(Label.SIZE);
|
||||
|
|
|
|||
|
|
@ -74,7 +74,7 @@ public class SolomonExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
|
||||
|
||||
/*
|
||||
* Retrieve best solution.
|
||||
* Retrieve best solution.
|
||||
*/
|
||||
VehicleRoutingProblemSolution solution = new SelectBest().selectSolution(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -77,7 +77,7 @@ public class SolomonExampleWithSpecifiedVehicleEndLocations {
|
|||
// vra.setPrematureBreak(100);
|
||||
vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
* Solve the problem.
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -77,7 +77,7 @@ public class SolomonExampleWithSpecifiedVehicleEndLocationsWithoutTWs {
|
|||
// vra.setPrematureBreak(100);
|
||||
// vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
* Solve the problem.
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -69,7 +69,7 @@ public class SolomonOpenExample {
|
|||
// vra.setPrematureBreak(100);
|
||||
// vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
* Solve the problem.
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -68,7 +68,7 @@ public class SolomonR101Example {
|
|||
vra.setMaxIterations(20000);
|
||||
// vra.setPrematureBreak(100);
|
||||
vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
/*
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
|
|
|
|||
|
|
@ -81,7 +81,7 @@ public class SolomonWithRegretInsertionExample {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
|
||||
|
||||
/*
|
||||
* Retrieve best solution.
|
||||
* Retrieve best solution.
|
||||
*/
|
||||
VehicleRoutingProblemSolution solution = new SelectBest().selectSolution(solutions);
|
||||
|
||||
|
|
|
|||
|
|
@ -186,7 +186,7 @@ public class TransportOfDisabledPeople {
|
|||
algorithm.setPrematureAlgorithmTermination(new IterationWithoutImprovementTermination(100));
|
||||
|
||||
/*
|
||||
* and search a solution
|
||||
* and search a solution
|
||||
*/
|
||||
Collection<VehicleRoutingProblemSolution> solutions = algorithm.searchSolutions();
|
||||
|
||||
|
|
|
|||
|
|
@ -77,7 +77,7 @@ public class VRPWithBackhaulsExample {
|
|||
VehicleRoutingAlgorithm vra = vraBuilder.build();
|
||||
vra.getAlgorithmListeners().addListener(new AlgorithmSearchProgressChartListener("output/sol_progress.png"));
|
||||
/*
|
||||
* Solve the problem.
|
||||
* Solve the problem.
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -105,7 +105,7 @@ public class VRPWithBackhaulsExample2 {
|
|||
Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
|
||||
|
||||
/*
|
||||
* Retrieve best solution.
|
||||
* Retrieve best solution.
|
||||
*/
|
||||
VehicleRoutingProblemSolution solution = new SelectBest().selectSolution(solutions);
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue