A Simultaneous Magnanti-Wong Method to Accelerate Benders Decomposition for the Metropolitan Container Transportation Problem

Oper. Res. Pub Date : 2022-03-30 DOI:10.1287/opre.2020.2032
Andrew Perrykkad, Andreas T. Ernst, M. Krishnamoorthy
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引用次数: 1

Abstract

When shipping ports are colocated with major population centers, the exclusive use of road transport for moving shipping containers across the metropolitan area is undesirable from both social and economic perspectives. Port shuttles, an integrated road and short-haul rail transport modality, are thereby gaining significant interest from governments and industry alike, especially in the Australian context. In “A Simultaneous Magnanti-Wong Method to Accelerate Benders Decomposition for the Metropolitan Container Transportation Problem,” Perrykkad, Ernst, and Krishnamoorthy explore the mathematics behind the optimal integration of road and port shuttle modalities for container transportation in metropolitan areas, including proofs of NP harness, a Benders decomposition, and an extensive computational study. Critically, to accelerate their Benders decomposition the authors develop the simultaneous Magnanti-Wong method: an extension of the classical Magnanti-Wong acceleration that preserves this problem's important network substructure. In addition to the problem at hand, this technique shows promise more generally for Benders decompositions with special subproblem structure.
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大都市集装箱运输问题中加速弯曲物分解的同时Magnanti-Wong方法
从社会和经济的角度来看,如果海运港口与主要人口中心位置重合,那么在首都圈内只使用公路运输集装箱是不可取的。港口班车是一种综合公路和短途铁路运输方式,因此引起了各国政府和工业界的极大兴趣,特别是在澳大利亚。在“加速大都市集装箱运输问题的Benders分解的同时Magnanti-Wong方法”中,Perrykkad、Ernst和Krishnamoorthy探索了大都市地区集装箱运输的道路和港口穿梭模式的最佳整合背后的数学,包括NP束的证明、Benders分解和广泛的计算研究。关键的是,为了加速它们的Benders分解,作者开发了同步Magnanti-Wong方法:经典Magnanti-Wong加速的扩展,保留了该问题的重要网络子结构。除了手头的问题之外,该技术在具有特殊子问题结构的Benders分解中显示出更广泛的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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