Author
Listed:
- Van Bulck, David
- Goossens, Dries
- Schönberger, Jörn
- Guajardo, Mario
Abstract
Sports timetabling problems are combinatorial optimization problems which consist of creating a timetable that defines against whom, when, and where teams play games. In the literature, sports timetabling problems have been reported featuring a wide variety of constraints and objectives. This variety makes it challenging to identify the relevant set of papers for a given sports timetabling problem. Moreover, the lack of a generally accepted data format makes that problem instances and their solutions are rarely shared. Consequently, it is hard to assess algorithmic performance since solution methods are often tested on just one or two specific instances. To mitigate these issues, this paper presents RobinX, a three-field notation to describe a sports timetabling problem by means of the tournament format, the constraints in use, and the objective. We use this notation to classify sports timetabling problems presented in the operations research literature during the last five decades. Moreover, RobinX contains xml-based file templates to store problem instances and their solutions and presents an online platform that offers three useful tools. First, a query tool assists users to select the relevant set of papers for a given timetabling problem. Second, the online platform provides access to an xml data repository that contains real-life problem instances from different countries and sports. Finally, the website enables users to interact with a free and open-source C++-library to read and write xml files and to validate and evaluate encoded instances and solutions.
Suggested Citation
Van Bulck, David & Goossens, Dries & Schönberger, Jörn & Guajardo, Mario, 2020.
"RobinX: A three-field classification and unified data format for round-robin sports timetabling,"
European Journal of Operational Research, Elsevier, vol. 280(2), pages 568-580.
Handle:
RePEc:eee:ejores:v:280:y:2020:i:2:p:568-580
DOI: 10.1016/j.ejor.2019.07.023
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:280:y:2020:i:2:p:568-580. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.