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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"?> <solver> <!--<environmentMode>DEBUG</environmentMode>--> <scoreDrl>/org/drools/planner/examples/nurserostering/solver/nurseRosteringScoreRules.drl</scoreDrl> <solutionClass>org.drools.planner.examples.nurserostering.domain.NurseRoster</solutionClass> <planningEntityClass>org.drools.planner.examples.nurserostering.domain.Assignment</planningEntityClass> <scoreDefinition> <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType> </scoreDefinition> <termination> <!-- Official benchmark maximumSecondsSpend allowed on: - ge0ffrey's main pc: sprint 11, medium 700, long 42000 --> <maximumSecondsSpend>700</maximumSecondsSpend> <!--<scoreAttained>-0hard/-999999soft</scoreAttained>--> <!--<maximumStepCount>100</maximumStepCount>--> </termination> <constructionHeuristic> <constructionHeuristicType>BEST_FIT</constructionHeuristicType> </constructionHeuristic> <localSearch> <selector> <selector> <moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.EmployeeChangeMoveFactory</moveFactoryClass> </selector> <selector> <moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.AssignmentSwitchMoveFactory</moveFactoryClass> </selector> <!--<selector>--> <!--<moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.AssignmentSequenceSwitchLength2MoveFactory</moveFactoryClass>--> <!--</selector>--> <!--<selector>--> <!--<moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.AssignmentSequenceSwitchLength3MoveFactory</moveFactoryClass>--> <!--</selector>--> <selector> <moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.AssignmentPillarPartSwitchMoveFactory</moveFactoryClass> </selector> </selector> <acceptor> <completeSolutionTabuSize>1000</completeSolutionTabuSize> <completePropertyTabuSize>7</completePropertyTabuSize> </acceptor> <forager> <minimalAcceptedSelection>800</minimalAcceptedSelection> </forager> </localSearch> </solver>