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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.

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<?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>
  <scoreDrl>/org/drools/planner/examples/pas/solver/patientAdmissionScheduleBaseScoreRules.drl</scoreDrl>
  <scoreDefinition>
    <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
  </scoreDefinition>
  <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.PatientAdmissionScheduleStartingSolutionInitializer</customSolverPhaseCommandClass>
  </customSolverPhase>
  <localSearch>
    <selector>
      <!--<selector>-->
        <!--<moveFactoryClass>org.drools.planner.examples.pas.solver.move.factory.BedChangeMoveFactory</moveFactoryClass>-->
      <!--</selector>-->
      <!--<selector>-->
        <!--<moveFactoryClass>org.drools.planner.examples.pas.solver.move.factory.BedDesignationSwitchMoveFactory</moveFactoryClass>-->
      <!--</selector>-->
      <selector>
        <moveFactoryClass>org.drools.planner.examples.pas.solver.move.factory.BedDesignationPillarPartSwitchMoveFactory</moveFactoryClass>
      </selector>
    </selector>
    <acceptor>
      <completeSolutionTabuSize>1000</completeSolutionTabuSize>
      <completeUndoMoveTabuSize>3</completeUndoMoveTabuSize>
    </acceptor>
    <forager>
      <pickEarlyType>NEVER</pickEarlyType>
      <minimalAcceptedSelection>500</minimalAcceptedSelection><!-- TODO tweak me -->
    </forager>
  </localSearch>
</solver>




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