Publication:
Hybrid Intelligent Water Drops Algorithm For Examination Timetabling Problem

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dc.contributor.authorBashar A.Aldeeben_US
dc.contributor.authorMohammed Azmi Al-Betaren_US
dc.contributor.authorNorita Md Norwawien_US
dc.contributor.authorKhalid A.Alissaen_US
dc.contributor.authorMutasem K.Alsmadien_US
dc.contributor.authorAyman A.Hazaymehen_US
dc.contributor.authorMalek Alzaqebahen_US
dc.date.accessioned2024-05-29T02:02:56Z
dc.date.available2024-05-29T02:02:56Z
dc.date.issued2021
dc.date.submitted2022-1-28
dc.description.abstractThe current study investigates the Intelligent Water Drops (IWD) metaheuristic algorithm to construct and produce good quality solutions for the university examination timetabling problem (UETP). The IWD is a population-based metaheuristic that simulates the dynamic of the river systems. The main motivations for investigating IWD algorithm for examination timetabling problem is the ability to explore the search space effectively. The main drawback of IWD algorithm is like other population-based algorithm in exploitation process where it is very efficient scanning several search space niches, but it is unable to drilling down in each niche to which it navigates. In this paper we propose a hybrid approach based on IWD and locale search algorithm to improve the exploitation of IWD algorithm. The experimental results demonstrated that the proposed algorithm (i.e., Hybrid IWD) obtained best results in three datasets when comparing with the best-known results performed by the swarm intelligent approaches. Finally, the proposed algorithm achieved one best results in comparison with the other metaheuristic approaches.en_US
dc.identifier.citationBashar A. Aldeeb, Mohammed Azmi Al-Betar, Norita Md Norwawi, Khalid A. Alissa, Mutasem K. Alsmadi, Ayman A. Hazaymeh, Malek Alzaqebah, Hybrid intelligent water Drops algorithm for examination timetabling problem, Journal of King Saud University - Computer and Information Sciences, 2021, , ISSN 1319-1578, https://doi.org/10.1016/j.jksuci.2021.06.016.en_US
dc.identifier.doi10.1016/j.jksuci.2021.06.016
dc.identifier.epage13
dc.identifier.issn1319-1578
dc.identifier.issue1
dc.identifier.other1368-88
dc.identifier.spage1
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1319157821001634?via%3Dihub
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85110100157&origin=resultslist&sort=plf-f&src=s&st1=Hybrid+Intelligent+Water+Drops+Algorithm+For+Examination+Timetabling+Problem&sid=f666f2eee814c566fe9e28d9f44277ed&sot=b&sdt=b&sl=91&s=TITLE-ABS-KEY%28Hybrid+Intelligent+Water+Drops+Algorithm+For+Examination+Timetabling+Problem%29&relpos=0&citeCnt=2&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10235
dc.identifier.volume1
dc.language.isoenen_US
dc.publisherScience Directen_US
dc.relation.ispartofJournal of King Saud University - Computer and Information Sciencesen_US
dc.subjectExamination Time table, Intelligent Water Drops algorithm, Metaheuristic, Locale search algorithm, Optimizationen_US
dc.titleHybrid Intelligent Water Drops Algorithm For Examination Timetabling Problemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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