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|Title:||Solving the exam timetabling problem via a multi-objective evolutionary algorithm - A more general approach|
|Citation:||Cheong, C.Y., Tan, K.C., Veeravalli, B. (2007). Solving the exam timetabling problem via a multi-objective evolutionary algorithm - A more general approach. Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007 : 165-172. ScholarBank@NUS Repository. https://doi.org/10.1109/SCIS.2007.367685|
|Abstract:||This paper studies a multi-objective instance of the university exam timetabling problem. On top of satisfying universal hard constraints such as seating capacity and no overlapping exams, the solution to this problem requires the minimization of the timetable length as well as the number of occurrences of students having to take exams in consecutive periods within the same day. While most existing approaches to the problem, as well as the more popular single-objective instance, require prior knowledge of the desired timetable length, the multi-objective evolutionary algorithm proposed in this paper is able to generate feasible solutions even without the information. The effectiveness of the proposed algorithm is benchmarked against a few recent and established optimization techniques and is found to perform well in comparison. © 2007 IEEE.|
|Source Title:||Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007|
|Appears in Collections:||Staff Publications|
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