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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.machinereassignment.domain.MachineReassignment</solutionClass>
  <planningEntityClass>org.drools.planner.examples.machinereassignment.domain.MrProcessAssignment</planningEntityClass>

  <scoreDirectorFactory>
    <scoreDefinitionType>HARD_AND_SOFT_LONG</scoreDefinitionType>
    <incrementalScoreCalculatorClass>org.drools.planner.examples.machinereassignment.solver.score.MachineReassignmentIncrementalScoreCalculator</incrementalScoreCalculatorClass>
    <!--<scoreDrl>/org/drools/planner/examples/machinereassignment/solver/machineReassignmentScoreRules.drl</scoreDrl>-->
    <!--<assertionScoreDirectorFactory>-->
      <!--<scoreDefinitionType>HARD_AND_SOFT_LONG</scoreDefinitionType>-->
      <!--<scoreDrl>/org/drools/planner/examples/machinereassignment/solver/machineReassignmentScoreRules.drl</scoreDrl>-->
    <!--</assertionScoreDirectorFactory>-->
  </scoreDirectorFactory>
  <termination>
    <maximumMinutesSpend>5</maximumMinutesSpend>
  </termination>
  
  <!--<constructionHeuristic>-->
    <!--<constructionHeuristicType>FIRST_FIT</constructionHeuristicType>-->
    <!--<constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType>-->
  <!--</constructionHeuristic>-->
  <customSolverPhase>
    <customSolverPhaseCommandClass>org.drools.planner.examples.machinereassignment.solver.solution.initializer.MrOriginalMachineSolutionInitializer</customSolverPhaseCommandClass>
  </customSolverPhase>
  <localSearch>
    <unionMoveSelector>
      <changeMoveSelector/>
      <swapMoveSelector/>
    </unionMoveSelector>
    <acceptor>
      <planningEntityTabuSize>7</planningEntityTabuSize>
      <!--<lateAcceptanceSize>2000</lateAcceptanceSize>-->
    </acceptor>
    <forager>
      <minimalAcceptedSelection>2000</minimalAcceptedSelection>
      <!--<minimalAcceptedSelection>500</minimalAcceptedSelection>-->
    </forager>
  </localSearch>
</solver>