An effective hybrid local search approach for the post enrolment course timetabling problem-Reference-Cited by-同舟云学术

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An effective hybrid local search approach for the post enrolment course timetabling problem

Published:2020-06-20 Issue:4 Volume:57 Page:1131-1163
ISSN:0030-3887
Container-title:OPSEARCH
language:en
Short-container-title:OPSEARCH

Author:

Goh Say Leng,Kendall Graham,Sabar Nasser R.,Abdullah Salwani

Funder

Universiti Malaysia Sabah

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems,Management Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s12597-020-00444-x.pdf

Reference23 articles.

1. Abdullah, S., Burke, E.K., McCollum, B.: A hybrid evolutionary approach to the university course timetabling problem. In: IEEE Congress on Evolutionary Computation, 2007. CEC 2007, pp. 1764–1768. IEEE (2007)

2. Cambazard, H., Hebrard, E., O’Sullivan, B., Papadopoulos, A.: Local search and constraint programming for the post enrolment-based course timetabling problem. Ann. Oper. Res. 194(1), 111–135 (2012)

3. Ceschia, S., Di Gaspero, L., Schaerf, A.: Design, engineering, and experimental analysis of a simulated annealing approach to the post-enrolment course timetabling problem. Comput. Oper. Res. 39(7), 1615–1624 (2012)

4. Chiarandini, M., Birattari, M., Socha, K., Rossi-Doria, O.: An effective hybrid algorithm for university course timetabling. J. Sched. 9(5), 403–432 (2006)

5. Cooper, T.B., Kingston, J.H.: The Complexity of Timetable Construction Problems. Springer, Berlin (1996)

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