Detailed Information on Publication Record
2016
Teacher-oriented Fairness in Course Timetabling
BURGET, Rostislav and Hana RUDOVÁBasic information
Original name
Teacher-oriented Fairness in Course Timetabling
Authors
BURGET, Rostislav (203 Czech Republic) and Hana RUDOVÁ (203 Czech Republic, guarantor, belonging to the institution)
Edition
Udine, Italy, Proceedings of the 11th International Conference on the Practice and Theory of Automated Timetabling (PATAT-2016), p. 33-44, 12 pp. 2016
Publisher
PATAT
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Italy
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
storage medium (CD, DVD, flash disk)
RIV identification code
RIV/00216224:14330/16:00094078
Organization unit
Faculty of Informatics
ISBN
978-0-9929984-1-7
Keywords in English
Course Timetabling; Fairness; Multi-objective approach; Timetabling system; UniTime; Real-world problem; Search
Tags
International impact, Reviewed
Změněno: 6/4/2017 14:47, doc. Mgr. Hana Rudová, Ph.D.
Abstract
V originále
Fairness introduces an important optimization criterion which needs to be handled at a reasonable level to generate acceptable timetables for particular entities. We propose an extension of the fairness measure which truly reflects the preferences of entities such as teachers or classical curricula. An incremental algorithm for the fairness measure computation is proposed for inclusion in iterative or constructive search algorithms. We demonstrate its inclusion into the iterative forward search al- gorithm. The implementation is available as a part of the complex UniTime system for course and examination timetabling. We apply our approach on real-life problems from Masaryk University and show improvements in fairness for teachers at a cost which is a very reasonable compromise with other objective functions. In addition, we demonstrate that a weighted inclusion of a fairness criteria allows us to achieve a proper balance with respect to other objective functions.