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fix #156 and separate maxCosts calc from noiseMaker

This commit is contained in:
oblonski 2015-09-25 09:09:31 +02:00
parent 1ece0e6819
commit 3696f361d3
5 changed files with 46 additions and 59 deletions

View file

@ -1,80 +1,43 @@
package jsprit.core.algorithm.box; package jsprit.core.algorithm.box;
import jsprit.core.algorithm.listener.IterationStartsListener; import jsprit.core.algorithm.listener.IterationStartsListener;
import jsprit.core.problem.Location;
import jsprit.core.problem.VehicleRoutingProblem; import jsprit.core.problem.VehicleRoutingProblem;
import jsprit.core.problem.constraint.SoftActivityConstraint; import jsprit.core.problem.constraint.SoftActivityConstraint;
import jsprit.core.problem.job.Job;
import jsprit.core.problem.job.Service;
import jsprit.core.problem.job.Shipment;
import jsprit.core.problem.misc.JobInsertionContext; import jsprit.core.problem.misc.JobInsertionContext;
import jsprit.core.problem.solution.VehicleRoutingProblemSolution; import jsprit.core.problem.solution.VehicleRoutingProblemSolution;
import jsprit.core.problem.solution.route.activity.TourActivity; import jsprit.core.problem.solution.route.activity.TourActivity;
import jsprit.core.util.RandomNumberGeneration; import jsprit.core.util.RandomNumberGeneration;
import java.util.ArrayList;
import java.util.Collection; import java.util.Collection;
import java.util.List;
import java.util.Random; import java.util.Random;
/** /**
* Created by schroeder on 16/01/15. * Created by schroeder on 16/01/15.
*/ */
class InsertionNoiseMaker implements SoftActivityConstraint, IterationStartsListener { class ConcurrentInsertionNoiseMaker implements SoftActivityConstraint, IterationStartsListener {
private final double noiseProbability; private final double noiseProbability;
private boolean makeNoise = false; private boolean makeNoise = false;
private VehicleRoutingProblem vrp;
double maxCosts = 0.;
private double noiseLevel = 0.1; private double noiseLevel = 0.1;
private Random random = RandomNumberGeneration.newInstance(); private Random random = RandomNumberGeneration.newInstance();
private Random[] randomArray; private Random[] randomArray;
public InsertionNoiseMaker(VehicleRoutingProblem vrp, double noiseLevel, double noiseProbability) { private double maxCosts;
this.vrp = vrp;
ConcurrentInsertionNoiseMaker(VehicleRoutingProblem vrp, double maxCosts, double noiseLevel, double noiseProbability) {
this.noiseLevel = noiseLevel; this.noiseLevel = noiseLevel;
this.noiseProbability = noiseProbability; this.noiseProbability = noiseProbability;
this.maxCosts = maxCosts;
randomArray = new Random[vrp.getNuActivities()+2]; randomArray = new Random[vrp.getNuActivities()+2];
for(int i=0;i<randomArray.length;i++){ for(int i=0;i<randomArray.length;i++){
Random r = new Random(); Random r = new Random();
r.setSeed(random.nextLong()); r.setSeed(random.nextLong());
randomArray[i] = r; randomArray[i] = r;
} }
determineMaxCosts(vrp);
}
//@ToDo refactor determining max costs to allow skipping this
private void determineMaxCosts(VehicleRoutingProblem vrp) {
double max = 0.;
for (Job i : vrp.getJobs().values()) {
List<Location> fromLocations = getLocations(i);
for (Job j : vrp.getJobs().values()) {
List<Location> toLocations = getLocations(j);
for (Location iLoc : fromLocations) {
for (Location jLoc : toLocations) {
max = Math.max(max, vrp.getTransportCosts().getTransportCost(iLoc, jLoc, 0, null, vrp.getVehicles().iterator().next()));
}
}
}
}
maxCosts = max;
}
private List<Location> getLocations(Job j) {
List<Location> locs = new ArrayList<Location>();
if (j instanceof Service) {
locs.add(((Service) j).getLocation());
} else if (j instanceof Shipment) {
locs.add(((Shipment) j).getPickupLocation());
locs.add(((Shipment) j).getDeliveryLocation());
}
return locs;
} }
@Override @Override
@ -92,7 +55,6 @@ class InsertionNoiseMaker implements SoftActivityConstraint, IterationStartsList
return 0; return 0;
} }
public void setRandom(Random random) { public void setRandom(Random random) {
this.random = random; this.random = random;
} }

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@ -308,14 +308,29 @@ public class Jsprit {
constraintManager = new ConstraintManager(vrp, stateManager); constraintManager = new ConstraintManager(vrp, stateManager);
} }
if (noThreads == null) {
noThreads = toInteger(getProperty(Parameter.THREADS.toString()));
}
if (noThreads > 1) {
if (es == null) {
setupExecutorInternally = true;
es = Executors.newFixedThreadPool(noThreads);
}
}
double noiseLevel = toDouble(getProperty(Parameter.INSERTION_NOISE_LEVEL.toString())); double noiseLevel = toDouble(getProperty(Parameter.INSERTION_NOISE_LEVEL.toString()));
double noiseProbability = toDouble(getProperty(Parameter.INSERTION_NOISE_PROB.toString())); double noiseProbability = toDouble(getProperty(Parameter.INSERTION_NOISE_PROB.toString()));
final InsertionNoiseMaker noiseMaker = new InsertionNoiseMaker(vrp, noiseLevel, noiseProbability);
noiseMaker.setRandom(random);
constraintManager.addConstraint(noiseMaker);
JobNeighborhoods jobNeighborhoods = new JobNeighborhoodsFactory().createNeighborhoods(vrp, new AvgServiceAndShipmentDistance(vrp.getTransportCosts()), (int) (vrp.getJobs().values().size() * 0.5)); JobNeighborhoods jobNeighborhoods = new JobNeighborhoodsFactory().createNeighborhoods(vrp, new AvgServiceAndShipmentDistance(vrp.getTransportCosts()), (int) (vrp.getJobs().values().size() * 0.5));
jobNeighborhoods.initialise(); jobNeighborhoods.initialise();
final double maxCosts = jobNeighborhoods.getMaxDistance();
IterationStartsListener noiseConfigurator;
ConcurrentInsertionNoiseMaker noiseMaker = new ConcurrentInsertionNoiseMaker(vrp, maxCosts, noiseLevel, noiseProbability);
noiseMaker.setRandom(random);
constraintManager.addConstraint(noiseMaker);
noiseConfigurator = noiseMaker;
RuinRadial radial = new RuinRadial(vrp, vrp.getJobs().size(), jobNeighborhoods); RuinRadial radial = new RuinRadial(vrp, vrp.getJobs().size(), jobNeighborhoods);
radial.setRandom(random); radial.setRandom(random);
@ -356,7 +371,7 @@ public class Jsprit {
public double makeNoise() { public double makeNoise() {
if (random.nextDouble() < toDouble(getProperty(Parameter.RUIN_WORST_NOISE_PROB.toString()))) { if (random.nextDouble() < toDouble(getProperty(Parameter.RUIN_WORST_NOISE_PROB.toString()))) {
return toDouble(getProperty(Parameter.RUIN_WORST_NOISE_LEVEL.toString())) return toDouble(getProperty(Parameter.RUIN_WORST_NOISE_LEVEL.toString()))
* noiseMaker.maxCosts * random.nextDouble(); * maxCosts * random.nextDouble();
} else return 0.; } else return 0.;
} }
}); });
@ -373,15 +388,7 @@ public class Jsprit {
AbstractInsertionStrategy regret; AbstractInsertionStrategy regret;
final RegretInsertion.DefaultScorer scorer; final RegretInsertion.DefaultScorer scorer;
if (noThreads == null) {
noThreads = toInteger(getProperty(Parameter.THREADS.toString()));
}
if (noThreads > 1) {
if (es == null) {
setupExecutorInternally = true;
es = Executors.newFixedThreadPool(noThreads);
}
}
if (es != null) { if (es != null) {
RegretInsertionConcurrent regretInsertion = (RegretInsertionConcurrent) new InsertionBuilder(vrp, fm, stateManager, constraintManager) RegretInsertionConcurrent regretInsertion = (RegretInsertionConcurrent) new InsertionBuilder(vrp, fm, stateManager, constraintManager)
.setInsertionStrategy(InsertionBuilder.Strategy.REGRET) .setInsertionStrategy(InsertionBuilder.Strategy.REGRET)
@ -434,7 +441,7 @@ public class Jsprit {
} }
}; };
SolutionCostCalculator objectiveFunction = getObjectiveFunction(vrp, noiseMaker.maxCosts); SolutionCostCalculator objectiveFunction = getObjectiveFunction(vrp, maxCosts);
SearchStrategy radial_regret = new SearchStrategy(Strategy.RADIAL_REGRET.toString(), new SelectBest(), schrimpfAcceptance, objectiveFunction); SearchStrategy radial_regret = new SearchStrategy(Strategy.RADIAL_REGRET.toString(), new SelectBest(), schrimpfAcceptance, objectiveFunction);
radial_regret.addModule(new RuinAndRecreateModule(Strategy.RADIAL_REGRET.toString(), regret, radial)); radial_regret.addModule(new RuinAndRecreateModule(Strategy.RADIAL_REGRET.toString(), regret, radial));
@ -482,7 +489,7 @@ public class Jsprit {
VehicleRoutingAlgorithm vra = prettyBuilder.build(); VehicleRoutingAlgorithm vra = prettyBuilder.build();
vra.addListener(schrimpfThreshold); vra.addListener(schrimpfThreshold);
vra.addListener(noiseMaker); vra.addListener(noiseConfigurator);
vra.addListener(noise); vra.addListener(noise);
vra.addListener(clusters); vra.addListener(clusters);
handleExecutorShutdown(vra); handleExecutorShutdown(vra);

View file

@ -13,4 +13,6 @@ public interface JobNeighborhoods {
public void initialise(); public void initialise();
public double getMaxDistance();
} }

View file

@ -22,6 +22,8 @@ class JobNeighborhoodsImpl implements JobNeighborhoods {
private JobDistance jobDistance; private JobDistance jobDistance;
private double maxDistance = 0.;
public JobNeighborhoodsImpl(VehicleRoutingProblem vrp, JobDistance jobDistance) { public JobNeighborhoodsImpl(VehicleRoutingProblem vrp, JobDistance jobDistance) {
super(); super();
this.vrp = vrp; this.vrp = vrp;
@ -58,6 +60,11 @@ class JobNeighborhoodsImpl implements JobNeighborhoods {
calculateDistancesFromJob2Job(); calculateDistancesFromJob2Job();
} }
@Override
public double getMaxDistance() {
return 0;
}
private void calculateDistancesFromJob2Job() { private void calculateDistancesFromJob2Job() {
logger.debug("preprocess distances between locations ..."); logger.debug("preprocess distances between locations ...");
StopWatch stopWatch = new StopWatch(); StopWatch stopWatch = new StopWatch();
@ -79,6 +86,7 @@ class JobNeighborhoodsImpl implements JobNeighborhoods {
for (Job j : vrp.getJobs().values()) { for (Job j : vrp.getJobs().values()) {
if (i == j) continue; if (i == j) continue;
double distance = jobDistance.getDistance(i, j); double distance = jobDistance.getDistance(i, j);
if(distance > maxDistance) maxDistance = distance;
ReferencedJob refNode = new ReferencedJob(j, distance); ReferencedJob refNode = new ReferencedJob(j, distance);
treeSet.add(refNode); treeSet.add(refNode);
nuOfDistancesStored++; nuOfDistancesStored++;

View file

@ -24,12 +24,14 @@ class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
private int capacity; private int capacity;
private double maxDistance = 0.;
public JobNeighborhoodsImplWithCapRestriction(VehicleRoutingProblem vrp, JobDistance jobDistance, int capacity) { public JobNeighborhoodsImplWithCapRestriction(VehicleRoutingProblem vrp, JobDistance jobDistance, int capacity) {
super(); super();
this.vrp = vrp; this.vrp = vrp;
this.jobDistance = jobDistance; this.jobDistance = jobDistance;
this.capacity = capacity; this.capacity = capacity;
logger.debug("intialise {}", this); logger.debug("initialize {}", this);
} }
@Override @Override
@ -64,6 +66,11 @@ class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
calculateDistancesFromJob2Job(); calculateDistancesFromJob2Job();
} }
@Override
public double getMaxDistance() {
return maxDistance;
}
private void calculateDistancesFromJob2Job() { private void calculateDistancesFromJob2Job() {
logger.debug("preprocess distances between locations ..."); logger.debug("preprocess distances between locations ...");
StopWatch stopWatch = new StopWatch(); StopWatch stopWatch = new StopWatch();
@ -85,6 +92,7 @@ class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
for (Job j : vrp.getJobs().values()) { for (Job j : vrp.getJobs().values()) {
if (i == j) continue; if (i == j) continue;
double distance = jobDistance.getDistance(i, j); double distance = jobDistance.getDistance(i, j);
if(distance > maxDistance) maxDistance = distance;
ReferencedJob refNode = new ReferencedJob(j, distance); ReferencedJob refNode = new ReferencedJob(j, distance);
if (treeSet.size() < capacity) { if (treeSet.size() < capacity) {
treeSet.add(refNode); treeSet.add(refNode);