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A survey of computational intelligence in educational timetabling

journal contribution
posted on 19.04.2021, 03:51 authored by Kaixiang ZhuKaixiang Zhu, Dujuan LiDujuan Li, Minmei LiMinmei Li
Timetabling problems have been widely studied, of which Educational Timetabling Problem (ETP) is the biggest section. Generally, ETP can be divided into three modules, namely, course timetabling, school timetabling, and examination timetabling. For solving ETP, many techniques have been developed including conventional algorithms and computational intelligence approaches. Several surveys have been conducted focusing on those methods. Some surveys target on particular categories; some tend to cover all types of approaches. However, there are lack of reviews specifically focusing on computational intelligence in ETP. Therefore, this paper aims at providing a reference of selecting a method for the applications of ETP by reviewing popular computational intelligent algorithms, such as meta-heuristics, hyper-heuristics, hybrid methods, fuzzy logic, and multi-agent systems. The application would be categorised and described into the three types of ETP respectively.

History

Volume

11

Issue

1

Start Page

40

End Page

47

Number of Pages

8

eISSN

2010-3700

ISSN

2010-3700

Publisher

IACSIT Press

Additional Rights

CC BY 4.0

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

20/07/2020

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Journal

International Journal of Machine Learning and Computing