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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.examination.domain.Examination</solutionClass>
  <planningEntityClass>org.drools.planner.examples.examination.domain.Exam</planningEntityClass>

  <scoreDirectorFactory>
    <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
    <scoreDrl>/org/drools/planner/examples/examination/solver/examinationScoreRules.drl</scoreDrl>
  </scoreDirectorFactory>

  <termination>
    <!--
      Official benchmark maximumSecondsSpend allowed on:
      - ge0ffrey's main pc: 429
      - ge0ffrey's old pc: 1152
    -->
    <maximumSecondsSpend>429</maximumSecondsSpend>
    <!--<scoreAttained>-0hard/-999999soft</scoreAttained>-->
  </termination>
  <customSolverPhase>
    <customSolverPhaseCommandClass>org.drools.planner.examples.examination.solver.solution.initializer.ExaminationSolutionInitializer</customSolverPhaseCommandClass>
  </customSolverPhase>
  <localSearch>
    <unionMoveSelector>
      <moveListFactory>
        <cacheType>PHASE</cacheType>
        <moveListFactoryClass>org.drools.planner.examples.examination.solver.move.factory.PeriodChangeMoveFactory</moveListFactoryClass>
      </moveListFactory>
      <moveListFactory>
        <cacheType>PHASE</cacheType>
        <moveListFactoryClass>org.drools.planner.examples.examination.solver.move.factory.RoomChangeMoveFactory</moveListFactoryClass>
      </moveListFactory>
      <moveListFactory>
        <cacheType>PHASE</cacheType>
        <moveListFactoryClass>org.drools.planner.examples.examination.solver.move.factory.ExamSwapMoveFactory</moveListFactoryClass>
      </moveListFactory>
    </unionMoveSelector>
    <acceptor>
      <planningEntityTabuSize>10</planningEntityTabuSize>
    </acceptor>
    <forager>
      <minimalAcceptedSelection>2000</minimalAcceptedSelection>
    </forager>
  </localSearch>
</solver>