Merge branch 'prepareV010' into PickupMergeRelaxAPI

Conflicts:
	jsprit-core/src/main/java/algorithms/BestInsertionBuilder.java
	jsprit-core/src/main/java/algorithms/BestInsertionConcurrent.java

jsprit-analysis/src/main/java/analysis/ConcurrentBenchmarker.java

@@ -37,6 +37,7 @@ import algorithms.VehicleRoutingAlgorithms;
 import basics.VehicleRoutingAlgorithm;
 import basics.VehicleRoutingProblem;
 import basics.VehicleRoutingProblemSolution;
+import basics.algo.VehicleRoutingAlgorithmFactory;
 import basics.algo.VehicleRoutingAlgorithmListeners.Priority;
 
 public class ConcurrentBenchmarker {
@@ -47,7 +48,7 @@ public class ConcurrentBenchmarker {
 	
 	
 	
-	private String algorithmConfig;
+	private String algorithmConfig = null;
 	
 	private List<BenchmarkInstance> benchmarkInstances = new ArrayList<BenchmarkInstance>();
 
@@ -66,6 +67,8 @@ public class ConcurrentBenchmarker {
 		
 	};
 
+	private VehicleRoutingAlgorithmFactory algorithmFactory;
+	
 	public void setCost(Cost cost){ this.cost = cost; }
 	
 	public ConcurrentBenchmarker(String algorithmConfig) {
@@ -74,6 +77,10 @@ public class ConcurrentBenchmarker {
 		Logger.getRootLogger().setLevel(Level.ERROR);
 	}
 	
+	public ConcurrentBenchmarker(VehicleRoutingAlgorithmFactory algorithmFactory){
+		this.algorithmFactory = algorithmFactory;
+	}
+	
 	public void addBenchmarkWriter(BenchmarkWriter writer){
 		writers.add(writer);
 	}
@@ -94,6 +101,12 @@ public class ConcurrentBenchmarker {
 		benchmarkInstances.add(new BenchmarkInstance(name,problem,bestKnownResult,bestKnownVehicles));
 	}
 	
+	/**
+	 * Sets nuOfRuns with same algorithm on same instance.
+	 * <p>Default is 1
+	 * 
+	 * @param runs
+	 */
 	public void setNuOfRuns(int runs){
 		this.runs = runs;
 	}
@@ -142,11 +155,11 @@ public class ConcurrentBenchmarker {
 		double[] times = new double[runs];
 		
 		for(int run=0;run<runs;run++){
-			VehicleRoutingAlgorithm vra = VehicleRoutingAlgorithms.readAndCreateAlgorithm(p.vrp, algorithmConfig);
+			VehicleRoutingAlgorithm vra = createAlgorithm(p);
 			StopWatch stopwatch = new StopWatch();
 			vra.getAlgorithmListeners().addListener(stopwatch,Priority.HIGH);
 			Collection<VehicleRoutingProblemSolution> solutions = vra.searchSolutions();
-			VehicleRoutingProblemSolution best = Solutions.getBest(solutions);
+			VehicleRoutingProblemSolution best = Solutions.bestOf(solutions);
 			vehicles[run] = best.getRoutes().size();
 			results[run] = cost.getCost(best);
 			times[run] = stopwatch.getCompTimeInSeconds();
@@ -155,6 +168,16 @@ public class ConcurrentBenchmarker {
 		return new BenchmarkResult(p, runs, results, times, vehicles);
 	}
 
+	private VehicleRoutingAlgorithm createAlgorithm(BenchmarkInstance p) {
+		if(algorithmConfig != null){
+			return VehicleRoutingAlgorithms.readAndCreateAlgorithm(p.vrp, algorithmConfig);
+		}
+		else{
+			return algorithmFactory.createAlgorithm(p.vrp);
+		}
+		
+	}
+
 	private void print(Collection<BenchmarkResult> results) {
 		double sumTime=0.0;
 		double sumResult=0.0;

jsprit-core/src/main/java/algorithms/BestInsertionBuilder.java

@@ -9,7 +9,7 @@ import basics.algo.InsertionListener;
 import basics.algo.VehicleRoutingAlgorithmListeners.PrioritizedVRAListener;
 import basics.route.VehicleFleetManager;
 
-public class BestInsertionBuilder implements InsertionStrategyBuilder{
+public class BestInsertionBuilder {
 
 	private VehicleRoutingProblem vrp;
 	
@@ -35,11 +35,11 @@ public class BestInsertionBuilder implements InsertionStrategyBuilder{
 
 	private int nuOfThreads;
 	
-	public BestInsertionBuilder(VehicleRoutingProblem vrp, VehicleFleetManager vehicleFleetManager, StateManager stateManager) {
+	public BestInsertionBuilder(VehicleRoutingProblem vrp, VehicleFleetManager vehicleFleetManager, StateManager stateManager, ConstraintManager constraintManager) {
 		super();
 		this.vrp = vrp;
 		this.stateManager = stateManager;
-		this.constraintManager = new ConstraintManager(vrp,stateManager);
+		this.constraintManager = constraintManager;
 		this.fleetManager = vehicleFleetManager;
 	}
 		
@@ -73,7 +73,7 @@ public class BestInsertionBuilder implements InsertionStrategyBuilder{
 		return this;
 	}
 	
-	@Override
+	
 	public InsertionStrategy build() {
 		List<InsertionListener> iListeners = new ArrayList<InsertionListener>();
 		List<PrioritizedVRAListener> algorithmListeners = new ArrayList<PrioritizedVRAListener>();
@@ -99,14 +99,12 @@ public class BestInsertionBuilder implements InsertionStrategyBuilder{
 			
 		}
 		else{
-			bestInsertion = new BestInsertionConc(jobInsertions,executor,nuOfThreads);
+
+			bestInsertion = new BestInsertionConcurrent(jobInsertions,executor,nuOfThreads);
+
 		}
 		for(InsertionListener l : iListeners) bestInsertion.addListener(l);
 		return bestInsertion;
 	}
 
-	public void setConstraintManager(ConstraintManager constraintManager) {
-		this.constraintManager = constraintManager;
-	}
-
 }

jsprit-core/src/main/java/algorithms/BestInsertionConcurrent.java

@@ -45,7 +45,7 @@ import basics.route.VehicleRoute;
  * 
  */
 
-final class BestInsertionConc implements InsertionStrategy{
+final class BestInsertionConcurrent implements InsertionStrategy{
 	
 	static class Batch {
 		List<VehicleRoute> routes = new ArrayList<VehicleRoute>();
@@ -74,7 +74,7 @@ final class BestInsertionConc implements InsertionStrategy{
 		
 	}
 	
-	private static Logger logger = Logger.getLogger(BestInsertionConc.class);
+	private static Logger logger = Logger.getLogger(BestInsertionConcurrent.class);
 
 	private Random random = RandomNumberGeneration.getRandom();
 	
@@ -102,7 +102,7 @@ final class BestInsertionConc implements InsertionStrategy{
 		this.random = random;
 	}
 	
-	public BestInsertionConc(JobInsertionCostsCalculator jobInsertionCalculator, ExecutorService executorService, int nuOfBatches) {
+	public BestInsertionConcurrent(JobInsertionCostsCalculator jobInsertionCalculator, ExecutorService executorService, int nuOfBatches) {
 		super();
 		this.insertionsListeners = new InsertionListeners();
 		this.executor = executorService;

jsprit-core/src/main/java/algorithms/CalculatesServiceInsertionWithTimeScheduling.java

@@ -27,8 +27,10 @@ import basics.route.Driver;
 import basics.route.Vehicle;
 import basics.route.VehicleRoute;
 
+
 class CalculatesServiceInsertionWithTimeScheduling implements JobInsertionCostsCalculator{
 
+
 	private static Logger log = Logger.getLogger(CalculatesServiceInsertionWithTimeScheduling.class);
 	
 	private JobInsertionCostsCalculator jic;
@@ -67,9 +69,13 @@ class CalculatesServiceInsertionWithTimeScheduling implements JobInsertionCostsC
 		
 		for(int i=0;i<nOfDepartureTimes;i++){
 			double neighborStartTime_earlier = currentStart - (i+1)*timeSlice;
-			if(neighborStartTime_earlier > earliestDeparture) vehicleDepartureTimes.add(neighborStartTime_earlier);
+//			if(neighborStartTime_earlier > earliestDeparture) {
+				vehicleDepartureTimes.add(neighborStartTime_earlier);
+//			}
 			double neighborStartTime_later = currentStart + (i+1)*timeSlice;
-			if(neighborStartTime_later < latestEnd) vehicleDepartureTimes.add(neighborStartTime_later);
+//			if(neighborStartTime_later < latestEnd) {
+				vehicleDepartureTimes.add(neighborStartTime_later);
+//			}
 		}
 	
 		InsertionData bestIData = null;

jsprit-core/src/main/java/algorithms/Gendreau.java

@@ -40,7 +40,7 @@ import basics.route.VehicleFleetManager;
 import basics.route.TourActivity.JobActivity;
 import basics.route.VehicleRoute;
 
-final class Gendreau implements SearchStrategyModule{
+public final class Gendreau implements SearchStrategyModule{
 
 	private final static Logger log = Logger.getLogger(Gendreau.class);
 	
@@ -64,7 +64,7 @@ final class Gendreau implements SearchStrategyModule{
 		this.shareOfJobsToRuin = shareOfJobsToRuin;
 	}
 
-	public Gendreau(VehicleRoutingProblem vrp, RuinStrategy ruin, InsertionStrategy insertionStrategy) {
+	public Gendreau(VehicleRoutingProblem vrp, RuinStrategy ruin, InsertionStrategy insertionStrategy, VehicleFleetManager vehicleFleetManager) {
 		super();
 		InsertionListeners insertionListeners = new InsertionListeners();
 		insertionListeners.addAllListeners(insertionStrategy.getListeners());
@@ -72,6 +72,7 @@ final class Gendreau implements SearchStrategyModule{
 		this.ruin = ruin;
 		this.vrp = vrp;
 		this.insertionStrategy = insertionStrategy;
+		this.fleetManager = vehicleFleetManager;
 	}
 
 	@Override
@@ -88,10 +89,10 @@ final class Gendreau implements SearchStrategyModule{
 		this.nOfIterations = nOfIterations;
 	}
 
-	public void setFleetManager(VehicleFleetManager vehicleFleetManager) {
+//	public void setFleetManager(VehicleFleetManager vehicleFleetManager) {
-		this.fleetManager = vehicleFleetManager;
+//		this.fleetManager = vehicleFleetManager;
-		
+//		
-	}
+//	}
 
 	@Override
 	public VehicleRoutingProblemSolution runAndGetSolution(VehicleRoutingProblemSolution vrpSolution) {
@@ -119,14 +120,14 @@ final class Gendreau implements SearchStrategyModule{
 			VehicleRoute emptyRoute1 = VehicleRoute.emptyRoute();
 			copiedRoutes.add(emptyRoute1);
 			insertionStrategy.insertJobs(Arrays.asList(emptyRoute1), Arrays.asList(targetJob));
-//			routeAlgorithm.insertJob(targetJob, routeAlgorithm.calculateBestInsertion(emptyRoute1, targetJob, Double.MAX_VALUE), emptyRoute1);
+
 			unassignedJobs.remove(targetJob);
 			
 			VehicleRoute emptyRoute2 = VehicleRoute.emptyRoute();
 			copiedRoutes.add(emptyRoute2);
 			Job job2 = jobsInRoute.get(1);
 			insertionStrategy.insertJobs(Arrays.asList(emptyRoute2), Arrays.asList(job2));
-//			routeAlgorithm.insertJob(job2, routeAlgorithm.calculateBestInsertion(emptyRoute2, job2, Double.MAX_VALUE), emptyRoute2);
+
 			unassignedJobs.remove(job2);
 			
 			insertionStrategy.insertJobs(copiedRoutes, unassignedJobs);

jsprit-core/src/main/java/algorithms/InsertionStrategyBuilder.java

@@ -1,7 +0,0 @@
-package algorithms;
-
-public interface InsertionStrategyBuilder {
-	
-	public InsertionStrategy build();
-
-}

jsprit-core/src/main/java/algorithms/InsertionStrategyFactory.java

@@ -18,7 +18,7 @@ package algorithms;
 
 import basics.VehicleRoutingProblem;
 
-interface InsertionStrategyFactory {
+public interface InsertionStrategyFactory {
 
 	public InsertionStrategy createStrategy(VehicleRoutingProblem vrp);
 	

jsprit-core/src/main/java/algorithms/RuinRadial.java

@@ -49,6 +49,194 @@ import basics.route.VehicleRoute;
  */
 final class RuinRadial implements RuinStrategy {
 	
+	static interface JobNeighborhoods {
+		
+		public Iterator<Job> getNearestNeighborsIterator(int nNeighbors, Job neighborTo);
+		
+	}
+	
+	static class NeighborhoodIterator implements Iterator<Job>{
+
+		private static Logger log = Logger.getLogger(NeighborhoodIterator.class);
+		
+		private Iterator<ReferencedJob> jobIter;
+		
+		private int nJobs;
+		
+		private int jobCount = 0;
+		
+		public NeighborhoodIterator(Iterator<ReferencedJob> jobIter, int nJobs) {
+			super();
+			this.jobIter = jobIter;
+			this.nJobs = nJobs;
+		}
+
+		@Override
+		public boolean hasNext() {
+			if(jobCount < nJobs){
+				boolean hasNext = jobIter.hasNext();
+				if(!hasNext) log.warn("more jobs are requested then iterator can iterate over. probably the number of neighbors memorized in JobNeighborhoods is too small");
+				return hasNext;
+			}
+			return false;
+		}
+
+		@Override
+		public Job next() {
+			ReferencedJob next = jobIter.next();
+			jobCount++;
+			return next.getJob();
+		}
+
+		@Override
+		public void remove() {
+			jobIter.remove();
+		}
+		
+	}
+	
+	static class JobNeighborhoodsImpl implements JobNeighborhoods {
+
+		private static Logger logger = Logger.getLogger(JobNeighborhoodsImpl.class);
+		
+		private VehicleRoutingProblem vrp;
+		
+		private Map<String, TreeSet<ReferencedJob>> distanceNodeTree = new HashMap<String, TreeSet<ReferencedJob>>();
+		
+		private JobDistance jobDistance;
+		
+		public JobNeighborhoodsImpl(VehicleRoutingProblem vrp, JobDistance jobDistance) {
+			super();
+			this.vrp = vrp;
+			this.jobDistance = jobDistance;
+			logger.info("intialise " + this);
+		}
+		
+		public Iterator<Job> getNearestNeighborsIterator(int nNeighbors, Job neighborTo){
+			TreeSet<ReferencedJob> tree = distanceNodeTree.get(neighborTo.getId());
+			Iterator<ReferencedJob> descendingIterator = tree.iterator();
+			return new NeighborhoodIterator(descendingIterator, nNeighbors);
+		}
+		
+		public void initialise(){
+			logger.info("calculates and memorizes distances from EACH job to EACH job --> n^2 calculations");
+			calculateDistancesFromJob2Job();
+		}
+		
+		private void calculateDistancesFromJob2Job() {
+			logger.info("preprocess distances between locations ...");
+			StopWatch stopWatch = new StopWatch();
+			stopWatch.start();
+			int nuOfDistancesStored = 0;
+			for (Job i : vrp.getJobs().values()) {
+				TreeSet<ReferencedJob> treeSet = new TreeSet<ReferencedJob>(
+						new Comparator<ReferencedJob>() {
+							@Override
+							public int compare(ReferencedJob o1, ReferencedJob o2) {
+								if (o1.getDistance() <= o2.getDistance()) {
+									return -1;
+								} else {
+									return 1;
+								}
+							}
+						});
+				distanceNodeTree.put(i.getId(), treeSet);
+				for (Job j : vrp.getJobs().values()) {
+					if(i==j) continue;
+					double distance = jobDistance.getDistance(i, j);
+					ReferencedJob refNode = new ReferencedJob(j, distance);
+					treeSet.add(refNode);
+					nuOfDistancesStored++;
+				}
+
+			}
+			stopWatch.stop();
+			logger.info("preprocessing comp-time: " + stopWatch + "; nuOfDistances stored: " + nuOfDistancesStored + "; estimated memory: " + 
+					(distanceNodeTree.keySet().size()*64+nuOfDistancesStored*92) + " bytes");
+		}
+		
+	}
+
+	static class JobNeighborhoodsImplWithCapRestriction implements JobNeighborhoods {
+
+		private static Logger logger = Logger.getLogger(JobNeighborhoodsImpl.class);
+		
+		private VehicleRoutingProblem vrp;
+		
+		private Map<String, TreeSet<ReferencedJob>> distanceNodeTree = new HashMap<String, TreeSet<ReferencedJob>>();
+		
+		private JobDistance jobDistance;
+		
+		private int capacity;
+		
+		public JobNeighborhoodsImplWithCapRestriction(VehicleRoutingProblem vrp, JobDistance jobDistance, int capacity) {
+			super();
+			this.vrp = vrp;
+			this.jobDistance = jobDistance;
+			this.capacity = capacity;
+			logger.info("intialise " + this);
+		}
+		
+		public Iterator<Job> getNearestNeighborsIterator(int nNeighbors, Job neighborTo){
+			TreeSet<ReferencedJob> tree = distanceNodeTree.get(neighborTo.getId());
+			Iterator<ReferencedJob> descendingIterator = tree.iterator();
+			return new NeighborhoodIterator(descendingIterator, nNeighbors);
+		}
+		
+		public void initialise(){
+			logger.info("calculates distances from EACH job to EACH job --> n^2="+Math.pow(vrp.getJobs().values().size(), 2) + " calculations, but 'only' "+(vrp.getJobs().values().size()*capacity)+ " are cached.");
+			calculateDistancesFromJob2Job();
+		}
+		
+		private void calculateDistancesFromJob2Job() {
+			logger.info("preprocess distances between locations ...");
+			StopWatch stopWatch = new StopWatch();
+			stopWatch.start();
+			int nuOfDistancesStored = 0;
+			for (Job i : vrp.getJobs().values()) {
+				TreeSet<ReferencedJob> treeSet = new TreeSet<ReferencedJob>(
+						new Comparator<ReferencedJob>() {
+							@Override
+							public int compare(ReferencedJob o1, ReferencedJob o2) {
+								if (o1.getDistance() <= o2.getDistance()) {
+									return -1;
+								} else {
+									return 1;
+								}
+							}
+						});
+				distanceNodeTree.put(i.getId(), treeSet);
+				for (Job j : vrp.getJobs().values()) {
+					if(i==j) continue;
+					double distance = jobDistance.getDistance(i, j);
+					ReferencedJob refNode = new ReferencedJob(j, distance);
+					if(treeSet.size() < capacity){
+						treeSet.add(refNode);
+						nuOfDistancesStored++;
+					}
+					else{
+						if(treeSet.last().getDistance() > distance){
+							treeSet.pollLast();
+							treeSet.add(refNode);
+						}
+					}
+				}
+				assert treeSet.size() <= capacity : "treeSet.size() is bigger than specified capacity";
+
+			}
+			stopWatch.stop();
+			logger.info("preprocessing comp-time: " + stopWatch + "; nuOfDistances stored: " + nuOfDistancesStored + "; estimated memory: " + 
+					(distanceNodeTree.keySet().size()*64+nuOfDistancesStored*92) + " bytes");
+		}
+		
+		@Override
+		public String toString() {
+			return "[name=neighborhoodWithCapRestriction][capacity="+capacity+"]";
+		}
+		
+	}
+	
+	
 	static class ReferencedJob {
 		private Job job;
 		private double distance;
@@ -74,14 +262,12 @@ final class RuinRadial implements RuinStrategy {
 
 	private double fractionOfAllNodes2beRuined;
 
-	private Map<String, TreeSet<ReferencedJob>> distanceNodeTree = new HashMap<String, TreeSet<ReferencedJob>>();
-
 	private Random random = RandomNumberGeneration.getRandom();
 
-	private JobDistance jobDistance;
-	
 	private RuinListeners ruinListeners;
 	
+	private JobNeighborhoods jobNeighborhoods;
+	
 	public void setRandom(Random random) {
 		this.random = random;
 	}
@@ -96,41 +282,46 @@ final class RuinRadial implements RuinStrategy {
 	public RuinRadial(VehicleRoutingProblem vrp, double fraction2beRemoved, JobDistance jobDistance) {
 		super();
 		this.vrp = vrp;
-		this.jobDistance = jobDistance;
 		this.fractionOfAllNodes2beRuined = fraction2beRemoved;
 		ruinListeners = new RuinListeners();
-		calculateDistancesFromJob2Job();
+		int nJobsToMemorize = (int) Math.ceil(vrp.getJobs().values().size()*fraction2beRemoved);
+		JobNeighborhoodsImplWithCapRestriction jobNeighborhoodsImpl = new JobNeighborhoodsImplWithCapRestriction(vrp, jobDistance, nJobsToMemorize);
+		jobNeighborhoodsImpl.initialise();
+		jobNeighborhoods = jobNeighborhoodsImpl;
 		logger.info("intialise " + this);
-	}
+//<<<<<<< HEAD
-
+//	}
-	private void calculateDistancesFromJob2Job() {
+//
-		logger.info("preprocess distances between locations ...");
+//	private void calculateDistancesFromJob2Job() {
-		StopWatch stopWatch = new StopWatch();
+//		logger.info("preprocess distances between locations ...");
-		stopWatch.start();
+//		StopWatch stopWatch = new StopWatch();
-		int nuOfDistancesStored = 0;
+//		stopWatch.start();
-		for (Job i : vrp.getJobs().values()) {
+//		int nuOfDistancesStored = 0;
-			TreeSet<ReferencedJob> treeSet = new TreeSet<ReferencedJob>(
+//		for (Job i : vrp.getJobs().values()) {
-					new Comparator<ReferencedJob>() {
+//			TreeSet<ReferencedJob> treeSet = new TreeSet<ReferencedJob>(
-						@Override
+//					new Comparator<ReferencedJob>() {
-						public int compare(ReferencedJob o1, ReferencedJob o2) {
+//						@Override
-							if (o1.getDistance() <= o2.getDistance()) {
+//						public int compare(ReferencedJob o1, ReferencedJob o2) {
-								return 1;
+//							if (o1.getDistance() <= o2.getDistance()) {
-							} else {
+//								return 1;
-								return -1;
+//							} else {
-							}
+//								return -1;
-						}
+//							}
-					});
+//						}
-			distanceNodeTree.put(i.getId(), treeSet);
+//					});
-			for (Job j : vrp.getJobs().values()) {
+//			distanceNodeTree.put(i.getId(), treeSet);
-				double distance = jobDistance.getDistance(i, j);
+//			for (Job j : vrp.getJobs().values()) {
-				ReferencedJob refNode = new ReferencedJob(j, distance);
+//				double distance = jobDistance.getDistance(i, j);
-				treeSet.add(refNode);
+//				ReferencedJob refNode = new ReferencedJob(j, distance);
-				nuOfDistancesStored++;
+//				treeSet.add(refNode);
-			}
+//				nuOfDistancesStored++;
-		}
+//			}
-		stopWatch.stop();
+//		}
-		logger.info("preprocessing comp-time: " + stopWatch + "; nuOfDistances stored: " + nuOfDistancesStored + "; estimated memory: " + 
+//		stopWatch.stop();
-				(distanceNodeTree.keySet().size()*64+nuOfDistancesStored*92) + " bytes");
+//		logger.info("preprocessing comp-time: " + stopWatch + "; nuOfDistances stored: " + nuOfDistancesStored + "; estimated memory: " + 
+//				(distanceNodeTree.keySet().size()*64+nuOfDistancesStored*92) + " bytes");
+//=======
+//>>>>>>> refs/heads/master
 	}
 	
 	@Override
@@ -145,11 +336,11 @@ final class RuinRadial implements RuinStrategy {
 	@Override
 	public Collection<Job> ruin(Collection<VehicleRoute> vehicleRoutes) {
 		if(vehicleRoutes.isEmpty()){
-			return Collections.EMPTY_LIST;
+			return Collections.emptyList();
 		}
 		int nOfJobs2BeRemoved = getNuOfJobs2BeRemoved();
 		if (nOfJobs2BeRemoved == 0) {
-			return Collections.EMPTY_LIST;
+			return Collections.emptyList();
 		}
 		Job randomJob = pickRandomJob();
 		Collection<Job> unassignedJobs = ruin(vehicleRoutes,randomJob,nOfJobs2BeRemoved);
@@ -162,14 +353,20 @@ final class RuinRadial implements RuinStrategy {
 	public Collection<Job> ruin(Collection<VehicleRoute> vehicleRoutes, Job targetJob, int nOfJobs2BeRemoved){
 		ruinListeners.ruinStarts(vehicleRoutes);
 		List<Job> unassignedJobs = new ArrayList<Job>();
-		TreeSet<ReferencedJob> tree = distanceNodeTree.get(targetJob.getId());
+		int nNeighbors = nOfJobs2BeRemoved - 1;
-		Iterator<ReferencedJob> descendingIterator = tree.descendingIterator();
+		removeJob(targetJob,vehicleRoutes);
-		int counter = 0;
+		unassignedJobs.add(targetJob);
-		while (descendingIterator.hasNext() && counter < nOfJobs2BeRemoved) {
+		Iterator<Job> neighborhoodIterator =  jobNeighborhoods.getNearestNeighborsIterator(nNeighbors, targetJob);
-			ReferencedJob refJob = descendingIterator.next();
+		while(neighborhoodIterator.hasNext()){
-			Job job = refJob.getJob();
+			Job job = neighborhoodIterator.next();
+			removeJob(job,vehicleRoutes);
 			unassignedJobs.add(job);
-			counter++;
+		}
+		ruinListeners.ruinEnds(vehicleRoutes, unassignedJobs);
+		return unassignedJobs;
+	}
+	
+	private void removeJob(Job job, Collection<VehicleRoute> vehicleRoutes) {
 		boolean removed = false;
 		for (VehicleRoute route : vehicleRoutes) {
 			removed = route.getTourActivities().removeJob(job);; 
@@ -179,9 +376,6 @@ final class RuinRadial implements RuinStrategy {
 			}
 		}
 	}
-		ruinListeners.ruinEnds(vehicleRoutes, unassignedJobs);
-		return unassignedJobs;
-	}
 
 	private Job pickRandomJob() {
 		int totNuOfJobs = vrp.getJobs().values().size();

jsprit-core/src/main/java/algorithms/VehicleRoutingAlgorithmFactoryImpl.java

@@ -26,6 +26,7 @@ public class VehicleRoutingAlgorithmFactoryImpl implements VehicleRoutingAlgorit
 	public VehicleRoutingAlgorithm createAlgorithm(VehicleRoutingProblem vrp) {
 		this.stateManager.addActivityVisitor(new UpdateVariableCosts(vrp.getActivityCosts(), vrp.getTransportCosts(), this.stateManager));
 		this.stateManager.addActivityVisitor(new UpdateMaxLoad(this.stateManager));
+		this.stateManager.addActivityVisitor(new UpdateActivityTimes(vrp.getTransportCosts()));
 		VehicleRoutingAlgorithm algorithm = new VehicleRoutingAlgorithm(vrp, searchStrategyManager);
 		algorithm.getAlgorithmListeners().addListener(stateManager);
 		algorithm.getSearchStrategyManager().addSearchStrategyModuleListener(stateManager);

jsprit-core/src/main/java/algorithms/VehicleRoutingAlgorithms.java

@@ -814,10 +814,9 @@ public class VehicleRoutingAlgorithms {
 				insertion = createInsertionStrategy(insertionConfigs.get(0), vrp, vehicleFleetManager, routeStates, prioListeners, executorService, nuOfThreads, constraintManager);
 				algorithmListeners.addAll(prioListeners);
 			}
-			Gendreau gendreau = new Gendreau(vrp, ruin, insertion);
+			Gendreau gendreau = new Gendreau(vrp, ruin, insertion, vehicleFleetManager);
 			gendreau.setShareOfJobsToRuin(share);
 			gendreau.setNuOfIterations(iterations);
-			gendreau.setFleetManager(vehicleFleetManager);
 			definedClasses.put(strategyModuleKey, gendreau);
 			return gendreau;
 		}

jsprit-core/src/main/java/basics/algo/TimeBreaker.java

@@ -25,6 +25,15 @@ import basics.VehicleRoutingProblem;
 import basics.VehicleRoutingProblemSolution;
 import basics.algo.SearchStrategy.DiscoveredSolution;
 
+/**
+ * Breaks algorithm prematurely based on specified time.
+ * 
+ * <p>Note, TimeBreaker must be registered as AlgorithmListener <br>
+ * <code>agorithm.getAlgorithmListeners().addListener(this);</code>
+ * 
+ * @author stefan
+ *
+ */
 public class TimeBreaker implements PrematureAlgorithmBreaker, AlgorithmStartsListener{
 
 	private static Logger logger = Logger.getLogger(TimeBreaker.class);
@@ -33,9 +42,18 @@ public class TimeBreaker implements PrematureAlgorithmBreaker, AlgorithmStartsLi
 	
 	private double startTime;
 	
-	public TimeBreaker(double time) {
+	/**
+	 * Constructs TimeBreaker that breaks algorithm prematurely based on specified time.
+	 * 
+	 * <p>Note, TimeBreaker must be registered as AlgorithmListener <br>
+	 * <code>agorithm.getAlgorithmListeners().addListener(this);</code>
+	 * 
+	 * @author stefan
+	 *
+	 */
+	public TimeBreaker(double time_in_seconds) {
 		super();
-		this.timeThreshold = time;
+		this.timeThreshold = time_in_seconds;
 		logger.info("initialise " + this);
 	}
 	

jsprit-core/src/main/java/basics/algo/VariationCoefficientBreaker.java

@@ -28,6 +28,16 @@ import basics.VehicleRoutingProblem;
 import basics.VehicleRoutingProblemSolution;
 import basics.algo.SearchStrategy.DiscoveredSolution;
 
+/**
+ * Breaks algorithm prematurely based on variationCoefficient.
+ * 
+ * <p>Note that this must be registered in algorithm<br>
+ * <code>algorithm.getAlgorithmListeners().addListener(this);</code>
+ * 
+ * 
+ * @author stefan
+ *
+ */
 public class VariationCoefficientBreaker implements PrematureAlgorithmBreaker, IterationStartsListener, AlgorithmStartsListener, IterationEndsListener{
 
 	private static Logger logger = Logger.getLogger(VariationCoefficientBreaker.class);
@@ -42,6 +52,16 @@ public class VariationCoefficientBreaker implements PrematureAlgorithmBreaker, I
 	
 	private VehicleRoutingProblemSolution lastAccepted = null;
 	
+	/**
+	 * Breaks algorithm prematurely based on variationCoefficient.
+	 * 
+	 * <p>Note that this must be registered in algorithm<br>
+	 * <code>algorithm.getAlgorithmListeners().addListener(this);</code>
+	 * 
+	 * 
+	 * @author stefan
+	 *
+	 */
 	public VariationCoefficientBreaker(int nuOfIterations, double variationCoefficientThreshold) {
 		super();
 		this.nuOfIterations = nuOfIterations;

jsprit-core/src/main/java/basics/costs/VehicleRoutingActivityCosts.java

@@ -62,6 +62,5 @@ public interface VehicleRoutingActivityCosts {
 	 */
 	public double getActivityCost(TourActivity tourAct, double arrivalTime, Driver driver, Vehicle vehicle);
 
-//	public Parameter getParameter(TourActivity tourAct, Vehicle vehicle, Driver driver);
 	
 }

jsprit-core/src/main/java/util/Solutions.java

@@ -22,6 +22,12 @@ import basics.VehicleRoutingProblemSolution;
 
 public class Solutions {
 	
+	/**
+	 * 
+	 * @deprecated use bestOf instead.
+	 * @param solutions
+	 * @return
+	 */
 	@Deprecated
 	public static VehicleRoutingProblemSolution getBest(Collection<VehicleRoutingProblemSolution> solutions){
 		VehicleRoutingProblemSolution best = null;

jsprit-core/src/test/java/algorithms/BuildPDVRPWithShipmentsAlgoFromScratchTest.java

@@ -87,8 +87,7 @@ public class BuildPDVRPWithShipmentsAlgoFromScratchTest {
 			int nuOfThreads = 10;
 			executorService = Executors.newFixedThreadPool(nuOfThreads);
 			
-			BestInsertionBuilder bestIBuilder = new BestInsertionBuilder(vrp, fleetManager, stateManager);
+			BestInsertionBuilder bestIBuilder = new BestInsertionBuilder(vrp, fleetManager, stateManager,constraintManager);
-			bestIBuilder.setConstraintManager(constraintManager);
 			bestIBuilder.setConcurrentMode(executorService, nuOfThreads);
 			InsertionStrategy bestInsertion = bestIBuilder.build();
 			
@@ -187,7 +186,7 @@ public class BuildPDVRPWithShipmentsAlgoFromScratchTest {
 //			System.out.println("ini: costs="+iniSolution.getCost()+";#routes="+iniSolution.getRoutes().size());
 			vra.addInitialSolution(iniSolution);
 			
-			vra.setNuOfIterations(100);
+			vra.setNuOfIterations(10);
 //			vra.setPrematureBreak(500);
 			
 	}

jsprit-core/src/test/java/algorithms/GendreauPostOptTest.java

@@ -201,8 +201,7 @@ public class GendreauPostOptTest {
 		InsertionStrategy insertionStrategy = new BestInsertion(insertionCalc);
 		insertionStrategy.addListener(stateUpdater);
 		insertionStrategy.addListener(new VehicleSwitched(fleetManager));
-		Gendreau postOpt = new Gendreau(vrp, radialRuin, insertionStrategy);
+		Gendreau postOpt = new Gendreau(vrp, radialRuin, insertionStrategy, fleetManager);
-		postOpt.setFleetManager(fleetManager);
 		
 		VehicleRoutingProblemSolution newSolution = postOpt.runAndGetSolution(sol);
 		newSolution.setCost(getCosts(newSolution,states));
@@ -261,10 +260,10 @@ public class GendreauPostOptTest {
 		InsertionStrategy insertionStrategy = new BestInsertion(insertionCalc);
 		insertionStrategy.addListener(stateUpdater);
 		insertionStrategy.addListener(new VehicleSwitched(fleetManager));
-		Gendreau postOpt = new Gendreau(vrp, radialRuin, insertionStrategy);
+		Gendreau postOpt = new Gendreau(vrp, radialRuin, insertionStrategy, fleetManager);
 		postOpt.setShareOfJobsToRuin(1.0);
 		postOpt.setNuOfIterations(1);
-		postOpt.setFleetManager(fleetManager);
+
 //		postOpt.setWithFix(withFixCost);
 		VehicleRoutingProblemSolution newSolution = postOpt.runAndGetSolution(sol);
 		newSolution.setCost(getCosts(newSolution,states));

jsprit-core/src/test/java/algorithms/JobNeighborhoodsImplTest.java

@@ -0,0 +1,110 @@
+package algorithms;
+
+import static org.junit.Assert.*;
+import static org.junit.Assert.assertEquals;
+
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+
+import org.junit.Before;
+import org.junit.Test;
+
+import util.Coordinate;
+import algorithms.RuinRadial.JobNeighborhoodsImpl;
+import basics.Job;
+import basics.Service;
+import basics.VehicleRoutingProblem;
+
+public class JobNeighborhoodsImplTest {
+
+	VehicleRoutingProblem vrp;
+	
+	JobDistance jobDistance;
+	
+	Service target;
+	Service s2;
+	Service s3;
+	Service s4;
+	Service s5;
+	Service s6;
+	Service s7;
+	
+	@Before
+	public void doBefore(){
+		VehicleRoutingProblem.Builder builder = VehicleRoutingProblem.Builder.newInstance();
+		target = Service.Builder.newInstance("s1", 1).setCoord(Coordinate.newInstance(0, 5)).build();
+		s2 = Service.Builder.newInstance("s2", 1).setCoord(Coordinate.newInstance(0, 4)).build();
+		s3 = Service.Builder.newInstance("s3", 1).setCoord(Coordinate.newInstance(0, 3)).build();
+		s4 = Service.Builder.newInstance("s4", 1).setCoord(Coordinate.newInstance(0, 2)).build();
+		
+		s5 = Service.Builder.newInstance("s5", 1).setCoord(Coordinate.newInstance(0, 6)).build();
+		s6 = Service.Builder.newInstance("s6", 1).setCoord(Coordinate.newInstance(0, 7)).build();
+		s7 = Service.Builder.newInstance("s7", 1).setCoord(Coordinate.newInstance(0, 8)).build();
+		
+		vrp = builder.addJob(target).addJob(s2).addJob(s3).addJob(s4).addJob(s5).addJob(s6).addJob(s7).build();
+		
+		jobDistance = new EuclideanServiceDistance();
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_nNeighborsShouldBeTwo(){
+		JobNeighborhoodsImpl jn = new JobNeighborhoodsImpl(vrp, jobDistance);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(2, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertEquals(2,services.size());
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_s2ShouldBeNeighbor(){
+		JobNeighborhoodsImpl jn = new JobNeighborhoodsImpl(vrp, jobDistance);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(2, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertTrue(services.contains(s2));
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_s4ShouldBeNeighbor(){
+		JobNeighborhoodsImpl jn = new JobNeighborhoodsImpl(vrp, jobDistance);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(2, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertTrue(services.contains(s5));
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_sizeShouldBe4(){
+		JobNeighborhoodsImpl jn = new JobNeighborhoodsImpl(vrp, jobDistance);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(4, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertEquals(4,services.size());
+	}
+	
+	@Test
+	public void whenRequestingMoreNeighborsThanExisting_itShouldReturnMaxNeighbors(){
+		JobNeighborhoodsImpl jn = new JobNeighborhoodsImpl(vrp, jobDistance);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(100, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertEquals(6,services.size());
+	}
+
+}

jsprit-core/src/test/java/algorithms/JobNeighborhoodsWithCapRestrictionImplTest.java

@@ -0,0 +1,111 @@
+package algorithms;
+
+import static org.junit.Assert.*;
+import static org.junit.Assert.assertEquals;
+
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+
+import org.junit.Before;
+import org.junit.Test;
+
+import util.Coordinate;
+import algorithms.RuinRadial.JobNeighborhoodsImpl;
+import algorithms.RuinRadial.JobNeighborhoodsImplWithCapRestriction;
+import basics.Job;
+import basics.Service;
+import basics.VehicleRoutingProblem;
+
+public class JobNeighborhoodsWithCapRestrictionImplTest {
+
+	VehicleRoutingProblem vrp;
+	
+	JobDistance jobDistance;
+	
+	Service target;
+	Service s2;
+	Service s3;
+	Service s4;
+	Service s5;
+	Service s6;
+	Service s7;
+	
+	@Before
+	public void doBefore(){
+		VehicleRoutingProblem.Builder builder = VehicleRoutingProblem.Builder.newInstance();
+		target = Service.Builder.newInstance("s1", 1).setCoord(Coordinate.newInstance(0, 5)).build();
+		s2 = Service.Builder.newInstance("s2", 1).setCoord(Coordinate.newInstance(0, 4)).build();
+		s3 = Service.Builder.newInstance("s3", 1).setCoord(Coordinate.newInstance(0, 3)).build();
+		s4 = Service.Builder.newInstance("s4", 1).setCoord(Coordinate.newInstance(0, 2)).build();
+		
+		s5 = Service.Builder.newInstance("s5", 1).setCoord(Coordinate.newInstance(0, 6)).build();
+		s6 = Service.Builder.newInstance("s6", 1).setCoord(Coordinate.newInstance(0, 7)).build();
+		s7 = Service.Builder.newInstance("s7", 1).setCoord(Coordinate.newInstance(0, 8)).build();
+		
+		vrp = builder.addJob(target).addJob(s2).addJob(s3).addJob(s4).addJob(s5).addJob(s6).addJob(s7).build();
+		
+		jobDistance = new EuclideanServiceDistance();
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_nNeighborsShouldBeTwo(){
+		JobNeighborhoodsImplWithCapRestriction jn = new JobNeighborhoodsImplWithCapRestriction(vrp, jobDistance, 2);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(2, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertEquals(2,services.size());
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_s2ShouldBeNeighbor(){
+		JobNeighborhoodsImplWithCapRestriction jn = new JobNeighborhoodsImplWithCapRestriction(vrp, jobDistance, 2);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(2, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertTrue(services.contains(s2));
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_s4ShouldBeNeighbor(){
+		JobNeighborhoodsImplWithCapRestriction jn = new JobNeighborhoodsImplWithCapRestriction(vrp, jobDistance, 2);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(2, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertTrue(services.contains(s5));
+	}
+	
+	@Test
+	public void whenRequestingNeighborhoodOfTargetJob_sizeShouldBe4(){
+		JobNeighborhoodsImplWithCapRestriction jn = new JobNeighborhoodsImplWithCapRestriction(vrp, jobDistance, 4);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(4, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertEquals(4,services.size());
+	}
+	
+	@Test
+	public void whenRequestingMoreNeighborsThanExisting_itShouldReturnMaxNeighbors(){
+		JobNeighborhoodsImplWithCapRestriction jn = new JobNeighborhoodsImplWithCapRestriction(vrp, jobDistance, 2);
+		jn.initialise();
+		Iterator<Job> iter = jn.getNearestNeighborsIterator(100, target);
+		List<Service> services = new ArrayList<Service>();
+		while(iter.hasNext()){
+			services.add((Service) iter.next());
+		}
+		assertEquals(2,services.size());
+	}
+
+}

jsprit-examples/src/main/java/examples/ConfigureAlgorithmInCodeInsteadOfPerXml.java

@@ -0,0 +1,140 @@
+/*******************************************************************************
+ * Copyright (C) 2013  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 examples;
+
+import java.io.File;
+import java.util.Collection;
+
+import org.apache.commons.configuration.XMLConfiguration;
+
+import util.Coordinate;
+import util.Solutions;
+import algorithms.VehicleRoutingAlgorithms;
+import analysis.SolutionPlotter;
+import analysis.SolutionPrinter;
+import analysis.SolutionPrinter.Print;
+import basics.Service;
+import basics.VehicleRoutingAlgorithm;
+import basics.VehicleRoutingProblem;
+import basics.VehicleRoutingProblemSolution;
+import basics.io.AlgorithmConfig;
+import basics.io.VrpXMLWriter;
+import basics.route.Vehicle;
+import basics.route.VehicleImpl;
+import basics.route.VehicleImpl.Builder;
+import basics.route.VehicleType;
+import basics.route.VehicleTypeImpl;
+
+public class ConfigureAlgorithmInCodeInsteadOfPerXml {
+	
+	public static void main(String[] args) {
+		/*
+		 * some preparation - create output folder
+		 */
+		File dir = new File("output");
+		// if the directory does not exist, create it
+		if (!dir.exists()){
+			System.out.println("creating directory ./output");
+			boolean result = dir.mkdir();  
+			if(result) System.out.println("./output created");  
+		}
+		
+		/*
+		 * 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", 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.setLocationCoord(Coordinate.newInstance(10, 10));
+		vehicleBuilder.setType(vehicleType);
+		Vehicle vehicle = vehicleBuilder.build();
+		
+		/*
+		 * build services at the required locations, each with a capacity-demand of 1.
+		 */
+		Service service1 = Service.Builder.newInstance("1", 1).setCoord(Coordinate.newInstance(5, 7)).build();
+		Service service2 = Service.Builder.newInstance("2", 1).setCoord(Coordinate.newInstance(5, 13)).build();
+		
+		Service service3 = Service.Builder.newInstance("3", 1).setCoord(Coordinate.newInstance(15, 7)).build();
+		Service service4 = Service.Builder.newInstance("4", 1).setCoord(Coordinate.newInstance(15, 13)).build();
+		
+		
+		VehicleRoutingProblem.Builder vrpBuilder = VehicleRoutingProblem.Builder.newInstance();
+		vrpBuilder.addVehicle(vehicle);
+		vrpBuilder.addService(service1).addService(service2).addService(service3).addService(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.getBest(solutions);
+		
+		new VrpXMLWriter(problem, solutions).write("output/problem-with-solution.xml");
+		
+		SolutionPrinter.print(bestSolution,Print.VERBOSE);
+		
+		/*
+		 * plot
+		 */
+		SolutionPlotter.plotSolutionAsPNG(problem, bestSolution, "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;
+	}
+
+}

pom.xml

@@ -34,8 +34,8 @@
   
   <licenses>
   	<license>
-  		<name>GNU General Public License, version 2 (GPL-2.0)</name>
+  		<name>GNU Lesser General Public Licence, version 3.0</name>
-  		<url>http://opensource.org/licenses/GPL-2.0</url>
+  		<url>http://opensource.org/licenses/LGPL-3.0</url>
   	</license>
   </licenses>