Feature selection using salp swarm algorithm for real biomedical datasets

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dc.contributor.authorIbrahim, Hadeel Tariq
dc.contributor.authorMazher, Wamidh Jalil
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorBayat, Oğuz
dc.contributor.authorUçan, Osman Nuri
dc.date.accessioned2021-05-15T12:42:14Z
dc.date.available2021-05-15T12:42:14Z
dc.date.issued2017
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionmazher, wamidh jalil/0000-0003-2092-3745; Al-Rayes, Hadeel/0000-0001-9749-4024
dc.description.abstractThe main objective of this paper is to develop a new powerful heuristic optimization algorithm to be used in feature selection. Here, the use of Salp Swarm Algorithm in feature selection (SSA-FS) is proposed for the first time in literature. SSA-FS has been compared with Particle Swarm Optimization and Differential Evolution performance with criteria of accuracy and runtime. In this paper, real datasets obtained from Iraqi hospitals for breast, bladder and colon cancers and synthetic datasets for evaluation. We have found that SSA-FS has been achieved the highest accuracies with less runtime in comparison with other selected algorithms for both real and synthetic datasets.en_US
dc.identifier.endpage20en_US
dc.identifier.issn1738-7906
dc.identifier.issue12en_US
dc.identifier.startpage13en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/913
dc.identifier.volume17en_US
dc.identifier.wosWOS:000423934000003
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherInt Journal Computer Science & Network Security-Ijcsnsen_US
dc.relation.ispartofInternational Journal of Computer Science and Network Security
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFeature Selectionen_US
dc.subjectSalp Swarm Algorithmen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectDifferential Evolutionen_US
dc.titleFeature selection using salp swarm algorithm for real biomedical datasets
dc.typeArticle

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