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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.tsp.domain.TravelingSalesmanTour</solutionClass> <planningEntityClass>org.drools.planner.examples.tsp.domain.Visit</planningEntityClass> <scoreDirectorFactory> <scoreDefinitionType>SIMPLE</scoreDefinitionType> <scoreDrl>/org/drools/planner/examples/tsp/solver/tspScoreRules.drl</scoreDrl> </scoreDirectorFactory> <termination> <maximumMinutesSpend>2</maximumMinutesSpend> </termination> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT</constructionHeuristicType> </constructionHeuristic> <localSearch> <selector> <selector> <moveFactoryClass>org.drools.planner.core.move.generic.GenericChainedChangeMoveFactory</moveFactoryClass> </selector> <selector> <moveFactoryClass>org.drools.planner.core.move.generic.GenericChainedChangePartMoveFactory</moveFactoryClass> </selector> </selector> <acceptor> <solutionTabuSize>1000</solutionTabuSize> <planningEntityTabuSize>7</planningEntityTabuSize> </acceptor> <forager> <pickEarlyType>NEVER</pickEarlyType> <minimalAcceptedSelection>10000</minimalAcceptedSelection> </forager> </localSearch> <!--<localSearch>--> <!--<selector>--> <!--<selector>--> <!--<moveFactoryClass>org.drools.planner.core.move.generic.GenericChainedChangeMoveFactory</moveFactoryClass>--> <!--</selector>--> <!--<selector>--> <!--<moveFactoryClass>org.drools.planner.core.move.generic.GenericChainedChangePartMoveFactory</moveFactoryClass>--> <!--</selector>--> <!--</selector>--> <!--<acceptor>--> <!--<simulatedAnnealingStartingTemperature>10</simulatedAnnealingStartingTemperature>--> <!--</acceptor>--> <!--<forager>--> <!--<minimalAcceptedSelection>4</minimalAcceptedSelection>--> <!--</forager>--> <!--</localSearch>--> </solver>