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

Author:

Perrykkad Andrew1ORCID,Ernst Andreas T.1ORCID,Krishnamoorthy Mohan2ORCID

Affiliation:

1. School of Mathematics, Monash University, Clayton, Victoria 3800, Australia;

2. School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, Queensland 4072, Australia

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.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3