Detailed Information on Publication Record
2018
University course timetabling and International Timetabling Competition 2019
MÜLLER, Tomáš, Hana RUDOVÁ and Zuzana MÜLLEROVÁBasic information
Original name
University course timetabling and International Timetabling Competition 2019
Authors
MÜLLER, Tomáš (203 Czech Republic), Hana RUDOVÁ (203 Czech Republic, guarantor, belonging to the institution) and Zuzana MÜLLEROVÁ (203 Czech Republic, belonging to the institution)
Edition
UK, Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling, p. 5-31, 27 pp. 2018
Publisher
PATAT
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/18:00103569
Organization unit
Faculty of Informatics
ISBN
978-0-9929984-2-4
Keywords in English
University cours timetabling; Competition; Real-world problems
Tags
International impact, Reviewed
Změněno: 4/9/2018 13:19, doc. Mgr. Hana Rudová, Ph.D.
Abstract
V originále
Abstract University course timetabling belongs to classical problems which have been studied for many years by many researchers. This paper will outline existing research and emphasize new research directions and challenges in this area. It is clear that the organization of international competitions has a high impact on the timetabling research. We intend to discuss the organization of the new International Timetabling Competition (ITC 2019) with the aim to motivate further research on complex university course timetabling problems coming from practice. Our goal is the creation of rich real-world data sets. Thanks to the UniTime timetabling system, we can collect a strong set of data with diverse characteristics which we will discuss in the paper. The key novelty lies in the combination of student sectioning together with standard time and room assignment of events in courses. To make the problems more attractive, we remove some of the less important aspects of the real-life data while retaining the computational complexity of the problems.