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An Exact Algorithm based on Lagrangian Relaxation for the Input-Output Scheduling Problem in Automated Warehouses

机译:基于拉格朗日放松的自动仓库输入输出调度问题的精确算法

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In this paper we consider to solve the Input Output Scheduhng Problem (IOSP) in automated warehouses exactly by bounding procedure and general purpose MTP solver. As the bounding procedure to obtain good lower bound, we examine Lagrangian relaxation based method, that is an application of the first step of the additive bounding procedure for CVRP. Replacing costly column generation with Lagrange dual procedure, we expect to reduce the computation time without loss of the solution accuracy. The results of computational experiments show that our approach works well. That is, for relatively large problem instances, it gives slightly inferior lower bounds more quickly than the existing bounding procedure. We conclude that our approach can lead to an effective exact algorithm by adding other bounding methods. Schedulmg Problem, Capacitated Vehicle Routing.
机译:在本文中,我们考虑通过限定程序和通用MTP求解器来解决自动仓库中的输入输出调度问题(IOP)。作为获取良好下限的边界程序,我们检查基于拉格朗日的弛豫的方法,这是CVRP添加剂界定程序的第一步的应用。使用拉格朗日双程更换昂贵的列生成,我们预计不会降低计算时间而不会损失解决方案准确性。计算实验结果表明我们的方法很好。也就是说,对于相对较大的问题实例,它比现有的边界过程更快地提供略微低劣的界限。我们得出结论,我们的方法可以通过添加其他界限方法来导致有效的精确算法。 Schedulmg问题,电容车辆路由。

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