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Review of state of the art for metaheuristic techniques in academic scheduling problems

Chong, Keat Teoh and Wibowo, Antoni and Ngadiman, Mohd. Salihin (2015) Review of state of the art for metaheuristic techniques in academic scheduling problems. Artificial Intelligence Review, 44 (1). pp. 1-21. ISSN 0269-2821

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Official URL: http://dx.doi.org/10.1007/s10462-013-9399-6

Abstract

The Academic Scheduling Problems have drawn great interest from many researchers of various fields, such as operational research and artificial intelligence. Despite the long history of literature, the problem still remains as an interesting research topic as new and emerging metaheuristic techniques continue to exhibit promising results. This paper surveys the properties of the Academic Scheduling Problems, such as the complexity of the problem and the constraints involved and addresses the various metaheuristic techniques and strategies used in solving them. The survey in this paper presents the aspects of solution quality in terms of computational speed, feasibility and optimality of a solution.

Item Type:Article
Uncontrolled Keywords:academic scheduling problem, course scheduling
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:55304
Deposited By: Muhamad Idham Sulong
Deposited On:04 Sep 2016 09:42
Last Modified:06 Aug 2017 13:01

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