A stochastic local search algorithm with adaptive acceptance for high-school timetabling

Author:

Kheiri Ahmed,Özcan Ender,Parkes Andrew J.

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference52 articles.

1. Abramson, D. (1991). Constructing school timetables using simulated annealing: Sequential and parallel algorithms. Management Science, 37(1), 98–113.

2. Abramson, D., & Dang, H. (1993). School timetables: A case study in simulated annealing. In Applied simulated annealing, lecture notes in economics and mathematical systems (Vol. 396, pp. 103–124). Berlin: Springer.

3. Abramson, D., Dang, H., & Krisnamoorthy, M. (1999). Simulated annealing cooling schedules for the school timetabling problem. Asia-Pacific Journal of Operational Research, 16, 1–22.

4. Beligiannis, G. N., Moschopoulos, C. N., Kaperonis, G. P., & Likothanassis, S. D. (2008). Applying evolutionary computation to the school timetabling problem: The greek case. Computers & Operations Research, 35(4), 1265–1280.

5. Bello, G. S., Rangel, M. C., & Boeres, M. C. S. (2008). An approach for the class/teacher timetabling problem. In PATAT ’08 proceedings of the 7th international conference on the practice and theory of automated timetabling.

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