GBRUN: A Gradient Search-based Binary Runge Kutta Optimizer for Feature Selection

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dc.authorid0000-0002-3128-9025
dc.authorid0000-0003-2117-0618
dc.contributor.authorDou, Zhi-Chao
dc.contributor.authorChu, Shu-Chuan
dc.contributor.authorZhuang, Zhongjie
dc.contributor.authorYildiz, Ali Riza
dc.contributor.authorPan, Jeng-Shyang
dc.date.accessioned2026-02-08T15:16:04Z
dc.date.available2026-02-08T15:16:04Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractFeature selection (FS) is a pre-processing technique for data dimensionality reduction in machine learning and data mining algorithms. FS technique reduces the number of features and improves the model generalization ability. This study presents a Gradient Search-based Binary Runge Kutta Optimizer (GBRUN) for solving the FS problem of high-dimensional. First, the proposed method converts the continuous Runge Kutta optimizer (RUN) into a binary version through S-, V-, and U-shaped transfer functions. Second, a gradient search method is introduced to improve the exploration capability of the algorithm. Five standard performance of the GBRUN algorithm. The experimental results show that GBRUN has better performance than in this manuscript, using the GBRUN algorithm to select algorithms have better performance than other algorithms.
dc.identifier.doi10.53106/160792642024052503001
dc.identifier.endpage353
dc.identifier.issn1607-9264
dc.identifier.issn2079-4029
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85195057598
dc.identifier.scopusqualityQ2
dc.identifier.startpage341
dc.identifier.urihttps://doi.org/10.53106/160792642024052503001
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6116
dc.identifier.volume25
dc.identifier.wosWOS:001237953600001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherLibrary & Information Center, Nat Dong Hwa Univ
dc.relation.ispartofJournal of Internet Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWOS_KA_20260207
dc.subjectGBRUN
dc.subjectFeature selection
dc.subjectRunge Kutta method
dc.subjectCOVID-19 dataset
dc.subjectEfficientNet
dc.titleGBRUN: A Gradient Search-based Binary Runge Kutta Optimizer for Feature Selection
dc.typeArticle

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