Meta-heuristic approaches for the university course timetabling problem

Course timetabling is an ongoing challenge that universities face all around the world. This combinatorial optimization task involves allocating a set of events into finite time slots and rooms while attempting to satisfy a set of predefined constraints. Given the high number of constraints and the...

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Main Authors: Abdipoor, Sina, Yaakob, Razali, Goh, Say Leng, Abdullah, Salwani
Format: Article
Language:English
Published: Elsevier BV 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108762/
http://psasir.upm.edu.my/id/eprint/108762/1/Meta-heuristic%20approaches%20for%20the%20university%20course%20timetabling%20problem.pdf
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author Abdipoor, Sina
Yaakob, Razali
Goh, Say Leng
Abdullah, Salwani
author_facet Abdipoor, Sina
Yaakob, Razali
Goh, Say Leng
Abdullah, Salwani
author_sort Abdipoor, Sina
building UPM Institutional Repository
collection Online Access
description Course timetabling is an ongoing challenge that universities face all around the world. This combinatorial optimization task involves allocating a set of events into finite time slots and rooms while attempting to satisfy a set of predefined constraints. Given the high number of constraints and the large solution space to be explored, the University Course Timetabling Problem (UCTP) is classified as an NP-hard problem. Meta-heuristic approaches have been commonly applied to this problem in the literature and have achieved high performance on benchmark datasets. This survey paper provides a comprehensive and systematic review of these approaches in the UCTP. It reviews, summarizes, and categorizes the approaches, and introduces a classification for hybrid meta-heuristic methods. Furthermore, it critically analyzes the benefits and limitations of the methods. It also presents challenges, gaps, and possible future work.
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spelling upm-1087622024-10-11T08:23:09Z http://psasir.upm.edu.my/id/eprint/108762/ Meta-heuristic approaches for the university course timetabling problem Abdipoor, Sina Yaakob, Razali Goh, Say Leng Abdullah, Salwani Course timetabling is an ongoing challenge that universities face all around the world. This combinatorial optimization task involves allocating a set of events into finite time slots and rooms while attempting to satisfy a set of predefined constraints. Given the high number of constraints and the large solution space to be explored, the University Course Timetabling Problem (UCTP) is classified as an NP-hard problem. Meta-heuristic approaches have been commonly applied to this problem in the literature and have achieved high performance on benchmark datasets. This survey paper provides a comprehensive and systematic review of these approaches in the UCTP. It reviews, summarizes, and categorizes the approaches, and introduces a classification for hybrid meta-heuristic methods. Furthermore, it critically analyzes the benefits and limitations of the methods. It also presents challenges, gaps, and possible future work. Elsevier BV 2023 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/108762/1/Meta-heuristic%20approaches%20for%20the%20university%20course%20timetabling%20problem.pdf Abdipoor, Sina and Yaakob, Razali and Goh, Say Leng and Abdullah, Salwani (2023) Meta-heuristic approaches for the university course timetabling problem. Intelligent Systems with Applications, 19. pp. 1-18. ISSN 2667-3053 https://linkinghub.elsevier.com/retrieve/pii/S2667305323000789 10.1016/j.iswa.2023.200253
spellingShingle Abdipoor, Sina
Yaakob, Razali
Goh, Say Leng
Abdullah, Salwani
Meta-heuristic approaches for the university course timetabling problem
title Meta-heuristic approaches for the university course timetabling problem
title_full Meta-heuristic approaches for the university course timetabling problem
title_fullStr Meta-heuristic approaches for the university course timetabling problem
title_full_unstemmed Meta-heuristic approaches for the university course timetabling problem
title_short Meta-heuristic approaches for the university course timetabling problem
title_sort meta-heuristic approaches for the university course timetabling problem
url http://psasir.upm.edu.my/id/eprint/108762/
http://psasir.upm.edu.my/id/eprint/108762/
http://psasir.upm.edu.my/id/eprint/108762/
http://psasir.upm.edu.my/id/eprint/108762/1/Meta-heuristic%20approaches%20for%20the%20university%20course%20timetabling%20problem.pdf