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A lagrangean heuristic for the plant location problem with multiple facilities in the same site

机译:在同一地点具有多个设施的工厂位置问题的拉格朗日启发式方法

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This article addresses the Capacitated Plant Location Problem with Multiple Facilities in the Same Site (CPLPM), a special case of the classical Capacitated Plant Location Problem (CPLP) in which several facilities (possibly having different fixed costs and different capacities) can be opened in the same site. Applications of the CPLPM arise in a number of contexts, such as the location of polling stations. Although the CPLPM can be modelled and solved as a standard CPLP, this approach usually performs very poorly. In this article we describe a tailored Lagrangean heuristic that overcomes the drawbacks of classical procedures. Our algorithm was tested on a set of randomly generated instances and on large real-world instance. Computational results indicate that our algorithm is able to provide high quality lower and upper bounds in a reasonable amount of time. In particular, our technique is able to provide good upper bounds for large-scale real-world applications, whereas general-purpose ILP solvers fail to determine even a feasible solution.
机译:本文解决了同一站点中具有多个设施的工厂化工厂选址问题(CPLPM),这是经典工厂化工厂选址问题(CPLP)的特例,其中可以打开多个工厂(可能具有不同的固定成本和不同的能力)同一站点。 CPLPM的应用出现在许多情况下,例如投票站的位置。尽管可以将CPLPM建模并解决为标准CPLP,但这种方法通常效果很差。在本文中,我们描述了一种量身定制的Lagrangean启发式方法,该方法克服了经典过程的缺点。我们的算法在一组随机生成的实例和大型实际实例上进行了测试。计算结果表明,我们的算法能够在合理的时间内提供高质量的上下限。特别是,我们的技术能够为大规模的实际应用提供良好的上限,而通用ILP求解器甚至无法确定可行的解决方案。

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