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Cited 59 time in webofscience Cited 73 time in scopus
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Review of harmony search with respect to algorithm structure

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dc.contributor.authorZhang, Tonghua-
dc.contributor.authorGeem, Zong Woo-
dc.date.available2020-02-27T02:40:46Z-
dc.date.created2020-02-04-
dc.date.issued2019-08-
dc.identifier.issn2210-6502-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1154-
dc.description.abstractHarmony Search (HS) is a metaheuristic optimisation algorithm inspired by musical improvisation. So far it has been applied to various optimisation problems, and there are several application-oriented review papers. However, this review paper tries to focus on the historical development of algorithm structure instead of applications. This paper explains the original HS algorithm along with a selection of modified and hybrid HS methods: adaption of original operators of the basic harmony search, parameter adaption, hybrid methods, handling multi objective optimisation problems and constraint handling.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.relation.isPartOfSWARM AND EVOLUTIONARY COMPUTATION-
dc.subjectGLOBAL OPTIMIZATION-
dc.subjectMINIMIZATION-
dc.subjectPERFORMANCE-
dc.subjectLOCATION-
dc.subjectPOWER-
dc.titleReview of harmony search with respect to algorithm structure-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000473374800003-
dc.identifier.doi10.1016/j.swevo.2019.03.012-
dc.identifier.bibliographicCitationSWARM AND EVOLUTIONARY COMPUTATION, v.48, pp.31 - 43-
dc.identifier.scopusid2-s2.0-85063622662-
dc.citation.endPage43-
dc.citation.startPage31-
dc.citation.titleSWARM AND EVOLUTIONARY COMPUTATION-
dc.citation.volume48-
dc.contributor.affiliatedAuthorGeem, Zong Woo-
dc.type.docTypeReview-
dc.subject.keywordAuthorHarmony search-
dc.subject.keywordAuthorOptimisation-
dc.subject.keywordAuthorHybrid method-
dc.subject.keywordAuthorAlgorithm structure-
dc.subject.keywordAuthorMetaheuristic optimisation algorithm-
dc.subject.keywordPlusGLOBAL OPTIMIZATION-
dc.subject.keywordPlusMINIMIZATION-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusLOCATION-
dc.subject.keywordPlusPOWER-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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