Timetable merging for the Periodic Event Scheduling Problem

IF 2.1 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE EURO Journal on Transportation and Logistics Pub Date : 2022-01-01 DOI:10.1016/j.ejtl.2022.100081
Niels Lindner , Christian Liebchen
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引用次数: 4

Abstract

We propose a new mixed integer programming based heuristic for computing new benchmark primal solutions for instances of the PESPlib. The PESPlib is a collection of instances for the Periodic Event Scheduling Problem (PESP), comprising periodic timetabling problems inspired by real-world railway timetabling settings, and attracting several international research teams during the last years. We describe two strategies to merge a set of good periodic timetables. These make use of the instance structure and minimum weight cycle bases, finally leading to restricted mixed integer programming formulations with tighter variable bounds. Implementing this timetable merging approach in a concurrent solver, we improve the objective values of the best known solutions for the smallest and largest PESPlib instances by 1.7 and 4.3 percent, respectively.

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定期事件调度问题的时间表合并
我们提出了一种新的基于混合整数规划的启发式算法,用于计算PESPlib实例的新基准原始解。PESPlib是周期性事件调度问题(PESP)的实例集合,包括受现实世界铁路时间表设置启发的周期性时间表问题,并在过去几年中吸引了几个国际研究团队。我们描述了合并一组好的周期时间表的两种策略。这些方法利用实例结构和最小权循环基,最终得到具有更严格变量界的有限混合整数规划公式。在并发求解器中实现这种时间表合并方法,我们将最小和最大PESPlib实例的最佳已知解决方案的目标值分别提高了1.7%和4.3%。
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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
24
审稿时长
129 days
期刊介绍: The EURO Journal on Transportation and Logistics promotes the use of mathematics in general, and operations research in particular, in the context of transportation and logistics. It is a forum for the presentation of original mathematical models, methodologies and computational results, focussing on advanced applications in transportation and logistics. The journal publishes two types of document: (i) research articles and (ii) tutorials. A research article presents original methodological contributions to the field (e.g. new mathematical models, new algorithms, new simulation techniques). A tutorial provides an introduction to an advanced topic, designed to ease the use of the relevant methodology by researchers and practitioners.
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