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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"?>
<solverBenchmarkSuite>
  <benchmarkDirectory>local/data/nurserostering</benchmarkDirectory>
  <solverStatisticType>BEST_SOLUTION_CHANGED</solverStatisticType>

  <inheritedSolverBenchmark>
    <unsolvedSolutionFile>data/nurserostering/unsolved/medium_late01_initialized.xml</unsolvedSolutionFile>

    <solver>
      <!--<environmentMode>DEBUG</environmentMode>-->
      <solutionClass>org.drools.planner.examples.nurserostering.domain.NurseRoster</solutionClass>
      <planningEntityClass>org.drools.planner.examples.nurserostering.domain.ShiftAssignment</planningEntityClass>
      <scoreDrl>/org/drools/planner/examples/nurserostering/solver/nurseRosteringScoreRules.drl</scoreDrl>
      <scoreDefinition>
        <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
      </scoreDefinition>
      <termination>
        <maximumStepCount>100</maximumStepCount>
      </termination>
      <customSolverPhase>
        <customSolverPhaseCommandClass>org.drools.planner.examples.nurserostering.solver.solution.initializer.NurseRosteringStartingSolutionInitializer</customSolverPhaseCommandClass>
      </customSolverPhase>
    </solver>
  </inheritedSolverBenchmark>

  <solverBenchmark>
    <solver>
      <localSearch>
        <selector>
          <selector>
            <moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.EmployeeChangeMoveFactory</moveFactoryClass>
          </selector>
          <selector>
            <moveFactoryClass>org.drools.planner.examples.nurserostering.solver.move.factory.ShiftAssignmentSwitchMoveFactory</moveFactoryClass>
          </selector>
        </selector>
        <acceptor>
          <completeSolutionTabuSize>1000</completeSolutionTabuSize>
          <completeMoveTabuSize>7</completeMoveTabuSize>
        </acceptor>
        <forager>
          <pickEarlyType>NEVER</pickEarlyType>
          <minimalAcceptedSelection>1000</minimalAcceptedSelection>
        </forager>
      </localSearch>
    </solver>
  </solverBenchmark>
</solverBenchmarkSuite>




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