A harmony search algorithm for university course timetabling

Author:

Al-Betar Mohammed Azmi,Khader Ahamad Tajudin

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference47 articles.

1. Abdullah, S., Burke, E. K., & McColum, B. (2005). An investigation of variable neighbourhood search for university course timetabling. In G. Kendall, L. Lei, M. Pinedo (Eds.), Proceedings of the 2nd multidisciplinary international conference on scheduling: theory and applications (MISTA) (pp. 413–427). New York, USA, 18–21 July 2005.

2. Abdullah, S., Burke, E. K., & McCollum, B. (2007a). A hybrid evolutionary approach to the university course timetabling problem. In CEC 2007. IEEE congress on evolutionary computation 2007 (pp. 1764–1768). Singapore.

3. Abdullah, S., Burke, E. K., & McCollum, B. (2007b). Using a randomised iterative improvement algorithm with composite neighbourhood structures for the university course timetabling problem. In Metaheuristic (pp. 153–169).

4. Arani, T., & Lofti, J. A. (1989). A three phased approach to final exam scheduling. IIE Transactions, 21(4), 86–96.

5. Asmuni, H., Burke, E. K., & Garibaldi, J. M. (2005). Fuzzy multiple heuristic ordering for course timetabling. In Proceedings of the 5th United Kingdom workshop on computational intelligence (UKCI05) (pp. 302–309).

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