Annals of Operations Research seeks submissions for a special issue onOptimization and Artificial Intelligence in Logistics Management.
Nowadays, the increasing volume of information, as well as complexity around logistics, makes it imperative to jointly use optimization and artificial intelligence for devising data-driven and intelligent decision support approaches. In the last decade, relevant efforts and initiatives from all sides of optimization and artificial intelligence have been undertaken to improve logistics operations and services by means of systems, platforms, algorithms and tools. This resulted in advances in both theoretical and practical aspects as well as technical innovations in several logistics sectors such as maritime shipping, freight transportation, urban distribution multi-modal transportation, to name just a few.
The main goal of this special issue is to publish comprehensively collected cutting-edge research and recent advances in optimization and AI in logistics. This issue will provide readers with high-quality contributions exploring and dealing with optimization problems in the field of logistics while discussing advanced methods for solving them. Examples involve the joint use of machine learning and mathematical programming, integrating information systems with optimization algorithms, theoretical or empirical studies in modern operations research, developing truly-brained systems to support logistics decisions, etc. Thus, this special issue seeks to contribute to the literature with relevant theoretical and practical works promoting the progress of operations research and artificial intelligence towards intelligent and adaptive decision support systems in all types of logistics fields.
Selected works from the 11th International Conference on Computational Logistics (ICCL 2020) will be invited to submit an extended version of their accepted paper to ICCL 2020 to this special issue. This call is also open to authors that could not participate in the conference, provided the paper fits within the scope of this special issue and that an extended abstract of the paper has been approved by the guest editors; deadline for this extended abstract is September 20, 2020.
The main topics of interest are
•Data-driven approaches in logistics
•Advances in optimization models
•Combination of methods from artificial intelligence and operations research in
transportation and logistics
•Algorithms and platforms for logistics management
•Applications of AI and its related technologies to logistics
•Modern vehicle and transportation optimization problems
•Integrating planning and control
•Theoretical and/or empirical analysis of AI approaches in logistics
•Intelligent decision making under uncertainty
•Freight logistics in smart cities
•Knowledge-based systems and hybrids
•Heuristics, metaheuristics, and hyperheuristics-based systems
•Production and delivery synchronization
•Collaborative and self-organizing logistics
•Multi-modal intelligent transport systems and services
•Intelligent techniques for online and offline planning
•Computational intelligence in logistics
•Intelligent decision support in air, land, or maritime logistics
Instructions for authors can be found at:
https://www.springer.com/journal/10479/submission-guidelines
Invited authors from ICCL2020 are asked to submit the manuscript accompanied by a cover letter indicating the relevant contribution with regards to the conference submission between September 30, 2020and January 15, 2021 via the Journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred to a regular issue. Authors not participating in the conference but with a contribution to the scope of this special issue, are asked to send an extended abstract before September 20, 2020to the guest editors on their contribution prior to submission.
Please see the Author Instructions on the web site if you have not yet submitted a paper through Springer's web-based system Editorial Manager. When prompted, please select the special issue’s title, Optimization and Artificial Intelligence in Logistics Managementto ensure that it will be reviewed for this special issue.
Papers will be subject to a strict review process managed by the Guest Editors and accepted papers will be published online individually, before print publication. Please keep in mind that the quality and relevance to the special issue’s topic are the two most important criteria for accepting contributions. Moreover, for those papers, related to a conference contribution, they are required to provide a substantial contribution, citing the conference work, and providing a novel and incremental contribution listed in the cover letter.
Guest Editors:
•Eduardo Lalla-Ruiz, University of Twente, Netherlands (e.a.lalla@utwente.nl)
•Martijn Mes, University of Twente, Netherlands (m.r.k.mes@utwente.nl)
物流管理中的优化与人工智能
《运筹学年鉴》为物流管理中的优化和人工智能特刊寻求投稿。
如今，随着信息量的增加，以及物流的复杂性，有必要联合运用最优化和人工智能来设计数据驱动和智能决策支持方法。近十年来，优化、人工智能各方面都在积极开展相关工作和举措，通过系统、平台、算法和工具来改善物流运作和服务。这导致了理论和实践方面的进步，以及海运、货运、城市配送、多式联运等多个物流部门的技术创新，仅举几个例子。
本期特刊的主要目标是综合发表物流优化和人工智能领域的前沿研究和最新进展。本刊将为读者提供高质量的文章，探讨和处理物流领域的优化问题，同时探讨解决这些问题的先进方法。例子包括机器学习和数学规划的联合使用，将信息系统与优化算法相结合，在现代运筹学中进行理论或实证研究，开发真正的智能系统来支持物流决策等。本专题旨在通过相关的理论和实践工作，推动运筹学和人工智能在各类物流领域向智能化、适应性决策支持系统的发展。
第11届国际计算物流大会（ICCL2020）的部分作品将被邀请向ICCL2020提交其已接受论文的扩展版本。本次征集也对不能参加会议的作者开放，前提是论文符合本期特刊的范围，并且论文的扩展摘要已由特邀编辑批准；此扩展摘要的截止日期为2020年9月20日。
感兴趣的主要主题是：
• 物流中的数据驱动方法
• 优化模型研究进展
• 运输和物流中的运筹学研究和人工智能方法的结合
• 物流管理算法和平台
• 人工智能及其相关技术在物流中的应用
• 现代车辆和运输优化问题
• 整合规划和控制
• 物流中人工智能方法的理论和/或实证分析
• 不确定性下的智能决策
• 智慧城市的货运物流
• 基于知识的系统和混合系统
• 基于启发式、元启发式和超启发式的系统
• 生产和交付同步
• 协作和自组织物流
• 多模式智能交通系统和服务
• 在线和离线规划的智能技术
• 物流计算智能
• 空中、陆地或海上物流的智能决策支持
作者指南可在以下网址找到：
https://www.springer.com/journal/10479/submission-guidelines
ICCL2020的受邀作者需通过该期刊的在线提交网站提交稿件，并附上一封附信，说明与2020年9月30日至2021年1月15日期间提交的会议相关的贡献。逾期投稿的稿件，特刊不予考虑，可以转为普通版。未参加会议但对本期特刊范围有贡献的作者，请在2020年9月20日之前，在提交前向特邀编辑发送一份扩展摘要。
如果您还没有通过Springer的网络系统Editorial Manager提交论文，请参阅网站上的作者说明。出现提示时，请选择特刊的标题，物流管理中的优化和人工智能，以确保本期特刊能够得到审核。
论文将接受一个由特邀编辑管理的严格审查程序，接受的论文将在印刷出版前单独在线发表。请记住，接受稿件的两个最重要的标准是质量和与特刊主题的相关性。此外，对于那些与会议贡献有关的论文，它们必须提供实质性的贡献，引用会议工作，并提供附信中列出的新颖和增量的贡献。
特邀编辑
•Eduardo Lalla-Ruiz, 特文特大学, 荷兰(e.a.lalla@utwente.nl)
•Martijn Mes, 特文特大学, 荷兰(m.r.k.mes@utwente.nl)