A fast simulated annealing heuristic for the multi-depot two-echelon vehicle routing problem with delivery options

IF 3.3 3区 工程技术 Q2 TRANSPORTATION
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引用次数: 0

Abstract

We studied a variant of the vehicle routing problem (VRP) arising in last-mile distribution, called the multi-depot two-echelon vehicle routing problem with delivery options (MDTEVRP-DO). The MDTEVRP-DO involves two decision levels: (i) designing routes for a fleet of vehicles located in multiple depots to transport customer demands to a set of satellites and (ii) routing a fleet of vehicles from the satellites to serve the final customers. Nowadays, a relevant feature of the problem characterizing delivery services is that customers can collect their packages at pickup stations near their homes or workplaces. We designed an effectively simulated annealing (SA) heuristic for the problem. The new algorithm was extensively tested on benchmark instances from the literature, and its results were compared with those of start-of-the-art algorithms. The results show that the proposed SA obtains 30 out of the 36 best solutions for the MDTEVRP-DO benchmark instances. Moreover, its computation performance is superior to state-of-the-art algorithms for the MDTEVRP-DO.
具有交付选项的多货站双货柜车路由问题的快速模拟退火启发式
我们研究了 "最后一英里配送 "中出现的车辆路由问题(VRP)的一种变体,即具有配送选项的多仓库双机群车辆路由问题(MDTEVRP-DO)。MDTEVRP-DO 涉及两个决策层面:(i) 为位于多个仓库的车队设计路线,将客户需求运送到一组卫星站点;(ii) 为从卫星站点出发的车队设计路线,为最终客户提供服务。如今,送货服务问题的一个相关特点是,客户可以在其住所或工作场所附近的取货站领取包裹。我们针对这一问题设计了一种有效的模拟退火(SA)启发式算法。我们在文献中的基准实例上对新算法进行了广泛测试,并将其结果与最先进算法的结果进行了比较。结果表明,在 MDTEVRP-DO 基准实例的 36 个最佳解中,所提出的 SA 获得了 30 个。此外,其计算性能也优于 MDTEVRP-DO 的最先进算法。
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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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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