org.drools.planner.examples.nurserostering.benchmark.nurseRosteringStepLimitSolverBenchmarkConfig.xml Maven / Gradle / Ivy

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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>
    
    <inheritedUnsolvedSolutionFile>data/nurserostering/unsolved/medium_late01_initialized.xml</inheritedUnsolvedSolutionFile>

    <inheritedLocalSearchSolver>
        <!--<environmentMode>DEBUG</environmentMode>-->
        <scoreDrl>/org/drools/planner/examples/nurserostering/solver/nurseRosteringScoreRules.drl</scoreDrl>
        <scoreDefinition>
            <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
        </scoreDefinition>
        <startingSolutionInitializerClass>org.drools.planner.examples.nurserostering.solver.solution.initializer.NurseRosteringStartingSolutionInitializer</startingSolutionInitializerClass>
        <termination>
            <maximumStepCount>100</maximumStepCount>
        </termination>
    </inheritedLocalSearchSolver>

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