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dc.contributor.authorGabis, Asma Benmessaoud
dc.contributor.authorMeraihi, Yassine
dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorRamdane-Cherif, Amar
dc.date.accessioned2021-06-21T05:43:23Z
dc.date.available2021-06-21T05:43:23Z
dc.date.issued2021
dc.identifier.issn0269-2821
dc.identifier.doi10.1007/s10462-021-10026-y
dc.identifier.urihttp://hdl.handle.net/10072/405238
dc.description.abstractSine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherSpringer
dc.relation.ispartofjournalArtificial Intelligence Review
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode5204
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode52
dc.subject.keywordsScience & Technology
dc.subject.keywordsComputer Science
dc.subject.keywordsSine Cosine Algorithm
dc.titleA comprehensive survey of sine cosine algorithm: variants and applications
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationGabis, AB; Meraihi, Y; Mirjalili, S; Ramdane-Cherif, A, A comprehensive survey of sine cosine algorithm: variants and applications, Artificial Intelligence Review, 2021
dc.date.updated2021-06-21T00:57:42Z
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.
gro.hasfulltextNo Full Text
gro.griffith.authorMirjalili, Seyedali


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