Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables

This paper tackles university course timetabling problems (UCTP) to find a (near) optimal solution (timetable) while satisfying hard constraints (essential requirements) and minimizing as much as possible the violations of the soft constrains (desirable requirements). In this study, we apply three a...

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Main Authors: Abdullah S., Shaker K., Shaker H.
Other Authors: 23395783300
Format: Article
Published: 2023
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spelling my.uniten.dspace-295942023-12-28T15:05:44Z Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables Abdullah S. Shaker K. Shaker H. 23395783300 35231134200 55990421500 Great deluge Hill climbing algorithm Round robin Simulated annealing University course timetabling problem This paper tackles university course timetabling problems (UCTP) to find a (near) optimal solution (timetable) while satisfying hard constraints (essential requirements) and minimizing as much as possible the violations of the soft constrains (desirable requirements). In this study, we apply three algorithms, that is, Great Deluge, Simulated Annealing and Hill Climbing where the Round Robin algorithm is used as control strategy in choosing the algorithm to be employed at the current stage. The performance of the approach is tested with over two sets of benchmark datasets, that is, enrolment-based course timetabling and curriculum-based course timetabling (UD1) in comparison with a set of state-of-the-art methods from the literature. The experimental results show that the proposed approach is able to produce competitive results for the test UCTPs. � 2011 Academic Journals. Final 2023-12-28T07:05:44Z 2023-12-28T07:05:44Z 2011 Article 2-s2.0-79957936133 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957936133&partnerID=40&md5=761b6422abca790ef38beffc44af1e0b https://irepository.uniten.edu.my/handle/123456789/29594 6 6 1452 1462 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Great deluge
Hill climbing algorithm
Round robin
Simulated annealing
University course timetabling problem
spellingShingle Great deluge
Hill climbing algorithm
Round robin
Simulated annealing
University course timetabling problem
Abdullah S.
Shaker K.
Shaker H.
Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
description This paper tackles university course timetabling problems (UCTP) to find a (near) optimal solution (timetable) while satisfying hard constraints (essential requirements) and minimizing as much as possible the violations of the soft constrains (desirable requirements). In this study, we apply three algorithms, that is, Great Deluge, Simulated Annealing and Hill Climbing where the Round Robin algorithm is used as control strategy in choosing the algorithm to be employed at the current stage. The performance of the approach is tested with over two sets of benchmark datasets, that is, enrolment-based course timetabling and curriculum-based course timetabling (UD1) in comparison with a set of state-of-the-art methods from the literature. The experimental results show that the proposed approach is able to produce competitive results for the test UCTPs. � 2011 Academic Journals.
author2 23395783300
author_facet 23395783300
Abdullah S.
Shaker K.
Shaker H.
format Article
author Abdullah S.
Shaker K.
Shaker H.
author_sort Abdullah S.
title Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
title_short Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
title_full Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
title_fullStr Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
title_full_unstemmed Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
title_sort investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
publishDate 2023
_version_ 1806423359398871040
score 13.214268