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Cited 84 time in webofscience Cited 90 time in scopus
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A comprehensive survey of the harmony search algorithm in clustering applications

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dc.contributor.authorAbualigah L.-
dc.contributor.authorDiabat A.-
dc.contributor.authorGeem Z.W.-
dc.date.available2020-07-20T00:35:56Z-
dc.date.created2020-06-15-
dc.date.issued2020-06-
dc.identifier.issn2076-3417-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/67536-
dc.description.abstractThe Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering applications, including data clustering, text clustering, fuzzy clustering, image processing, and wireless sensor networks. We provide a comprehensive survey of the literature on HSA and its variants, analyze its strengths and weaknesses, and suggest future research directions. © 2020 by the authors.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI AG-
dc.relation.isPartOfApplied Sciences (Switzerland)-
dc.titleA comprehensive survey of the harmony search algorithm in clustering applications-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000543385900164-
dc.identifier.doi10.3390/app10113827-
dc.identifier.bibliographicCitationApplied Sciences (Switzerland), v.10, no.11-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85086085193-
dc.citation.titleApplied Sciences (Switzerland)-
dc.citation.volume10-
dc.citation.number11-
dc.contributor.affiliatedAuthorGeem Z.W.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorClustering applications-
dc.subject.keywordAuthorHarmony search algorithm-
dc.subject.keywordAuthorMeta-heuristic optimization algorithms-
dc.subject.keywordAuthorOptimization problems-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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