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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"?>
<plannerBenchmark>
  <benchmarkDirectory>local/data/machinereassignment/stepLimit</benchmarkDirectory>

  <inheritedSolverBenchmark>
    <problemBenchmarks>
      <problemIOClass>org.drools.planner.examples.machinereassignment.persistence.MachineReassignmentProblemIO</problemIOClass>
      <inputSolutionFile>data/machinereassignment/input/model_a1_4.txt</inputSolutionFile>
    </problemBenchmarks>

    <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>-->
      </scoreDirectorFactory>
    </solver>
  </inheritedSolverBenchmark>

  <solverBenchmark>
    <solver>
      <customSolverPhase>
        <customSolverPhaseCommandClass>org.drools.planner.examples.machinereassignment.solver.solution.initializer.MrOriginalMachineSolutionInitializer</customSolverPhaseCommandClass>
      </customSolverPhase>
      <localSearch>
        <termination>
          <maximumStepCount>3000</maximumStepCount>
        </termination>
        <unionMoveSelector>
          <changeMoveSelector/>
          <swapMoveSelector/>
        </unionMoveSelector>
        <acceptor>
          <planningEntityTabuSize>5</planningEntityTabuSize>
        </acceptor>
        <forager>
          <minimalAcceptedSelection>1000</minimalAcceptedSelection>
        </forager>
      </localSearch>
    </solver>
  </solverBenchmark>
</plannerBenchmark>




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