RUDOVÁ, Hana and Keith MURRAY. University Course Timetabling with Soft Constraints. In Practice And Theory of Automated Timetabling IV. KaHo St.-Lieven, Gent (Belgium): Springer, 2003, p. 310-328. ISBN 3-540-40699-9.
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Basic information
Original name University Course Timetabling with Soft Constraints
Authors RUDOVÁ, Hana (203 Czech Republic, guarantor) and Keith MURRAY (840 United States of America).
Edition KaHo St.-Lieven, Gent (Belgium), Practice And Theory of Automated Timetabling IV, p. 310-328, 2003.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/03:00008704
Organization unit Faculty of Informatics
ISBN 3-540-40699-9
UT WoS 000185936800021
Keywords in English course timetabling; constraint satisfaction; soft constraints; constraint logic programming
Tags constraint logic programming, constraint satisfaction, course timetabling, soft constraints
Changed by Changed by: doc. Mgr. Hana Rudová, Ph.D., učo 3840. Changed: 26/6/2009 14:18.
Abstract
An extension of constraint logic programming that allows for weighted partial satisfaction of soft constraints is described and applied to the development of an automated timetabling system for Purdue University. The soft constraint solver implemented in the proposed solution approach allows constraint propagation for hard constraints together with preference propagation for soft constraints. A new repair search algorithm is proposed to improve upon initially generated (partial) assignments of the problem variables. The model and search methods applied to the solution of the large lecture room component are presented and discussed along with the computational results.
Links
GA201/01/0942, research and development projectName: Pokročilé plánování a rozvrhování
Investor: Czech Science Foundation, Advanced Planning and Scheduling
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