Memetic algorithm for the dynamic vehicle routing problem with simultaneous delivery and pickup

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL International Journal of Industrial Engineering Computations Pub Date : 2022-01-01 DOI:10.5267/j.ijiec.2022.6.001
Amina Berahhou, Y. Benadada, Khaoula Bouanane
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引用次数: 2

Abstract

In recent years, the Vehicle Routing Problem (VRP) has become an important issue for distribution companies. Also, the rapid development of communication means and the appearance of reverse logistics have given rise to new variants of the VRP. This article deals with an important variant of the VRP which is Dynamic Vehicle Routing Problem with Simultaneous Delivery and Pickup (DVRPSDP), in which new customers appear during the working day and each customer requires simultaneous delivery and pickup. A Memetic Algorithm (MA) that combines Genetic Algorithm (GA) and local search procedure have been proposed to solve the problem. The performance of the algorithm is evaluated with the tests carried out on a set of benchmarks found in the literature. The proposed memetic algorithm is very efficient and gives many good solutions.
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同时配送和取货的动态车辆路径问题的模因算法
近年来,车辆路径问题(VRP)已成为配送企业面临的一个重要问题。此外,通信手段的快速发展和逆向物流的出现也催生了VRP的新变体。本文研究了VRP的一个重要变体——同时取货的动态车辆路径问题(DVRPSDP),该问题在工作日出现新客户,每个客户需要同时取货。为了解决这一问题,提出了一种结合遗传算法和局部搜索过程的模因算法。算法的性能通过在文献中发现的一组基准上进行的测试来评估。所提出的模因算法效率很高,并给出了许多好的解。
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
5.70
自引率
9.10%
发文量
35
审稿时长
20 weeks
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