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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.nqueens.domain.NQueens</solutionClass> <planningEntityClass>org.drools.planner.examples.nqueens.domain.Queen</planningEntityClass> <scoreDirectorFactory> <scoreDefinitionType>SIMPLE</scoreDefinitionType> <!--<simpleScoreCalculatorClass>org.drools.planner.examples.nqueens.solver.score.NQueensSimpleScoreCalculator</simpleScoreCalculatorClass>--> <!--<incrementalScoreCalculatorClass>org.drools.planner.examples.nqueens.solver.score.NQueensBasicIncrementalScoreCalculator</incrementalScoreCalculatorClass>--> <!--<incrementalScoreCalculatorClass>org.drools.planner.examples.nqueens.solver.score.NQueensAdvancedIncrementalScoreCalculator</incrementalScoreCalculatorClass>--> <scoreDrl>/org/drools/planner/examples/nqueens/solver/nQueensScoreRules.drl</scoreDrl> </scoreDirectorFactory> <termination> <scoreAttained>0</scoreAttained> </termination> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType> <constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType> </constructionHeuristic> <localSearch> <changeMoveSelector> <selectionOrder>ORIGINAL</selectionOrder> </changeMoveSelector> <!-- changeMoveSelector is the generic form of RowChangeMoveFactory: --> <!--<moveListFactory>--> <!--<moveListFactoryClass>org.drools.planner.examples.nqueens.solver.move.factory.RowChangeMoveFactory</moveListFactoryClass>--> <!--</moveListFactory>--> <acceptor> <planningEntityTabuSize>5</planningEntityTabuSize> </acceptor> <forager> <!-- Real world problems require to use of <minimalAcceptedSelection> --> </forager> </localSearch> </solver>