Abstract—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.
Index Terms—Computational intelligence, educational timetabling, heuristics, fuzzy logic.
The authors are with the School of Engineering and Technology, CQUniversity, Rockhampton, Q4702 Australia (e-mail: k.zhu@ cqu.edu.au, email@example.com, firstname.lastname@example.org).
Cite: Kaixiang Zhu, Lily D Li, and Michael Li, "A Survey of Computational Intelligence in Educational Timetabling," International Journal of Machine Learning and Computing vol. 11, no. 1, pp. 40-47, 2021.Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).