Real-world university course timetabling at the International Timetabling Competition 2019

IF 1.4 4区 工程技术 Q4 ENGINEERING, MANUFACTURING Journal of Scheduling Pub Date : 2024-04-12 DOI:10.1007/s10951-023-00801-w
Tomáš Müller, Hana Rudová, Zuzana Müllerová
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Abstract

The paper discusses the organization of the International Timetabling Competition (ITC 2019), which intends to motivate further research on complex university course timetabling problems coming from practice. Thanks to the UniTime timetabling system, we have collected a strong set of benchmark instances with diverse characteristics for the competition. The key novelty lies in the combination of student sectioning with standard time and room assignment of particular course events. The paper analyzes the real-world course timetabling problems present in the competition. The characteristics of thirty competition instances are described together with their representative features, which are discussed institution by institution. The existing solvers are described and compared based on their competition, current, and time-limited results whenever available. As of October 2023, the competition website has about 490 registered users from 66 countries worldwide and is kept up to date with new results.

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2019 年国际课程表编制大赛上的真实世界大学课程表编制
本文讨论了国际课程表编制竞赛(ITC 2019)的组织情况,该竞赛旨在激励人们进一步研究来自实践的复杂大学课程表编制问题。得益于 UniTime 时间安排系统,我们为竞赛收集了一组具有不同特征的强大基准实例。关键的新颖之处在于将学生分区与特定课程活动的标准时间和教室分配相结合。本文分析了竞赛中出现的实际课程时间安排问题。论文描述了 30 个竞赛实例的特点及其代表性特征,并按院校进行了讨论。本文还介绍了现有的求解器,并根据其竞赛、当前和有时限的结果进行了比较。截至 2023 年 10 月,竞赛网站已有来自全球 66 个国家的约 490 名注册用户,并随时更新新结果。
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来源期刊
Journal of Scheduling
Journal of Scheduling 工程技术-工程:制造
CiteScore
3.80
自引率
10.00%
发文量
49
审稿时长
6-12 weeks
期刊介绍: The Journal of Scheduling provides a recognized global forum for the publication of all forms of scheduling research. First published in June 1998, Journal of Scheduling covers advances in scheduling research, such as the latest techniques, applications, theoretical issues and novel approaches to problems. The journal is of direct relevance to the areas of Computer Science, Discrete Mathematics, Operational Research, Engineering, Management, Artificial Intelligence, Construction, Distribution, Manufacturing, Transport, Aerospace and Retail and Service Industries. These disciplines face complex scheduling needs and all stand to gain from advances in scheduling technology and understanding.
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