A Survey on the Use of Agent-Based Modeling and Simulation for the Vehicle Routing Problem

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Ahmed Laatabi, Benoit Gaudou, Chihab Hanachi, Patricia Stolf
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引用次数: 0

Abstract

The application of Agent-Based Modeling and Simulation (ABMS) to the Vehicle Routing Problem (VRP) has gained increasing attention in recent years. This article presents a survey of the past decade, reviewing 45 research papers that apply Agent-Based Models (ABMs) to VRPs. We identify five principal objectives that motivate the use of ABMS in VRPs and classify the models into three categories based on the implementation architecture linking the ABM simulator and the VRP solver. This survey shows that ABMS is mainly used for its ability to effectively represent and simulate the spatiotemporal aspects of VRPs. Several other features of ABMS have not yet been implemented in the computation of vehicle routes.
基于agent的车辆路径问题建模与仿真研究综述
近年来,基于智能体的建模与仿真(ABMS)技术在车辆路径问题(VRP)中的应用受到了越来越多的关注。本文介绍了过去十年的调查,回顾了45篇将基于agent的模型(ABMs)应用于vrp的研究论文。我们确定了激励在VRP中使用ABMS的五个主要目标,并根据连接ABM模拟器和VRP求解器的实现架构将模型分为三类。该调查表明,ABMS主要用于有效表征和模拟vrp时空方面的能力。在车辆路线的计算中,还没有实现ABMS的其他几个特性。
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
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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