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Drools Planner optimizes automated planning by combining metaheuristic search algorithms with rule
engine powered score calculation. This is the drools-planner-examples module which contains examples on how to use
Drools Planner.
<?xml version="1.0" encoding="UTF-8"?> <plannerBenchmark> <benchmarkDirectory>local/data/vehiclerouting/stepLimit</benchmarkDirectory> <inheritedSolverBenchmark> <problemBenchmarks> <xstreamAnnotatedClass>org.drools.planner.examples.vehiclerouting.domain.VrpSchedule</xstreamAnnotatedClass> <inputSolutionFile>data/vehiclerouting/unsolved/A-n32-k5.xml</inputSolutionFile> </problemBenchmarks> <solver> <!--<environmentMode>DEBUG</environmentMode>--> <solutionClass>org.drools.planner.examples.vehiclerouting.domain.VrpSchedule</solutionClass> <planningEntityClass>org.drools.planner.examples.vehiclerouting.domain.VrpCustomer</planningEntityClass> <scoreDirectorFactory> <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType> <scoreDrl>/org/drools/planner/examples/vehiclerouting/solver/vehicleRoutingScoreRules.drl</scoreDrl> </scoreDirectorFactory> </solver> </inheritedSolverBenchmark> <solverBenchmark> <solver> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType> </constructionHeuristic> <localSearch> <termination> <maximumStepCount>100</maximumStepCount> </termination> <unionMoveSelector> <changeMoveSelector/> <swapMoveSelector/> <subChainChangeMoveSelector/> <!-- TODO could use a GenericChainedSwapPartMoveFactory --> </unionMoveSelector> <acceptor> <planningEntityTabuSize>9</planningEntityTabuSize> </acceptor> <forager> <minimalAcceptedSelection>20000</minimalAcceptedSelection> </forager> </localSearch> </solver> </solverBenchmark> </plannerBenchmark>