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

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dc.citedby6
dc.contributor.authorAbdullah S.en_US
dc.contributor.authorShaker K.en_US
dc.contributor.authorShaker H.en_US
dc.contributor.authorid23395783300en_US
dc.contributor.authorid35231134200en_US
dc.contributor.authorid55990421500en_US
dc.date.accessioned2023-12-28T07:05:44Z
dc.date.available2023-12-28T07:05:44Z
dc.date.issued2011
dc.description.abstractThis 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.en_US
dc.description.natureFinalen_US
dc.identifier.epage1462
dc.identifier.issue6
dc.identifier.scopus2-s2.0-79957936133
dc.identifier.spage1452
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79957936133&partnerID=40&md5=761b6422abca790ef38beffc44af1e0b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29594
dc.identifier.volume6
dc.pagecount10
dc.sourceScopus
dc.sourcetitleInternational Journal of Physical Sciences
dc.subjectGreat deluge
dc.subjectHill climbing algorithm
dc.subjectRound robin
dc.subjectSimulated annealing
dc.subjectUniversity course timetabling problem
dc.titleInvestigating a round robin strategy over multi algorithms in optimising the quality of university course timetablesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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