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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.travelingtournament.domain.TravelingTournament</solutionClass> <planningEntityClass>org.drools.planner.examples.travelingtournament.domain.Match</planningEntityClass> <scoreDrl>/org/drools/planner/examples/travelingtournament/solver/smart/smartTravelingTournamentScoreRules.drl</scoreDrl> <scoreDefinition> <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType> </scoreDefinition> <termination> <scoreAttained>0hard/0soft</scoreAttained> </termination> <localSearch> <deciderScoreComparatorFactory> <deciderScoreComparatorFactoryType>SHIFTING_HARD_PENALTY</deciderScoreComparatorFactoryType> <hardScoreActivationThreshold>0</hardScoreActivationThreshold> <successiveNoHardChangeMinimum>2</successiveNoHardChangeMinimum> <successiveNoHardChangeMaximum>20</successiveNoHardChangeMaximum> <successiveNoHardChangeRepetitionMultiplicand>20.0</successiveNoHardChangeRepetitionMultiplicand> <hardWeightSurvivalRatio>0.5</hardWeightSurvivalRatio> <startingHardWeight>1000</startingHardWeight> </deciderScoreComparatorFactory> <selector> <moveFactoryClass>org.drools.planner.examples.travelingtournament.solver.smart.move.factory.SmartTravelingTournamentMoveFactory</moveFactoryClass> </selector> <acceptor> <completeSolutionTabuSize>1500</completeSolutionTabuSize> <completeMoveTabuSize>7</completeMoveTabuSize> </acceptor> <forager> <pickEarlyType>NEVER</pickEarlyType> <!-- Real world problems require to use of <minimalAcceptedSelection> --> </forager> </localSearch> </solver>