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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.pas.domain.PatientAdmissionSchedule</solutionClass> <planningEntityClass>org.drools.planner.examples.pas.domain.BedDesignation</planningEntityClass> <scoreDirectorFactory> <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType> <scoreDrl>/org/drools/planner/examples/pas/solver/patientAdmissionScheduleBaseScoreRules.drl</scoreDrl> <!-- TODO SameBedInSameNightScoreRule should only be checked for construction heuristics --> <!--<scoreDrl>/org/drools/planner/examples/pas/solver/patientAdmissionScheduleSameBedInSameNightScoreRule.drl</scoreDrl>--> </scoreDirectorFactory> <termination> <!-- On Geoffrey De Smet's PC: 372 (short run), 3720 (long run). On Peter Demeester's PC: 300 (short run), 3000 (long run). --> <maximumSecondsSpend>3720</maximumSecondsSpend> </termination> <customSolverPhase> <!-- TODO use BEST_FIT_DECREASING instead (saves up to 10 minutes), but deal with the extra scoreDRL problem --> <customSolverPhaseCommandClass>org.drools.planner.examples.pas.solver.solution.initializer.PatientAdmissionScheduleSolutionInitializer</customSolverPhaseCommandClass> </customSolverPhase> <localSearch> <!--<unionMoveSelector>--> <!--<changeMoveSelector/>--> <!--<swapMoveSelector/>--> <!--</unionMoveSelector>--> <moveListFactory> <moveListFactoryClass>org.drools.planner.examples.pas.solver.move.factory.BedDesignationPillarPartSwapMoveFactory</moveListFactoryClass> </moveListFactory> <acceptor> <solutionTabuSize>1000</solutionTabuSize> <undoMoveTabuSize>3</undoMoveTabuSize> </acceptor> <forager> <minimalAcceptedSelection>500</minimalAcceptedSelection><!-- TODO tweak me --> </forager> </localSearch> </solver>