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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>--> <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> <termination> <maximumMinutesSpend>2</maximumMinutesSpend> </termination> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType> </constructionHeuristic> <localSearch> <unionMoveSelector> <changeMoveSelector/> <swapMoveSelector/> <subChainChangeMoveSelector> <selectReversingMoveToo>false</selectReversingMoveToo> </subChainChangeMoveSelector> <subChainSwapMoveSelector> <selectReversingMoveToo>false</selectReversingMoveToo> </subChainSwapMoveSelector> </unionMoveSelector> <acceptor> <planningEntityTabuSize>9</planningEntityTabuSize> </acceptor> <forager> <minimalAcceptedSelection>2000</minimalAcceptedSelection> </forager> </localSearch> <!--<localSearch>--> <!--<unionMoveSelector>--> <!--<changeMoveSelector/>--> <!--<swapMoveSelector/>--> <!--<subChainChangeMoveSelector/>--> <!--</unionMoveSelector>--> <!--<acceptor>--> <!--<simulatedAnnealingStartingTemperature>10</simulatedAnnealingStartingTemperature>--> <!--</acceptor>--> <!--<forager>--> <!--<minimalAcceptedSelection>4</minimalAcceptedSelection>--> <!--</forager>--> <!--</localSearch>--> </solver>