A review of mothflame optimization algorithm: analysis and applications

Basit Öğe Kaydı
dc.contributor.authorAbualigah, Laith
dc.contributor.authorAl-Abadi, Laheeb
dc.contributor.authorIkotun, Abiodun M.
dc.contributor.authorAL-Saqqar, Faisal
dc.contributor.authorIzci, Davut
dc.contributor.authorZhang, Peiying
dc.contributor.authorSumari, Putra
dc.date.accessioned2026-06-19T06:31:54Z
dc.date.available2026-06-19T06:31:54Z
dc.date.issued2024
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractThe moth flame optimization (MFO) algorithm, which is inspired by nature, is studied in this study. This optimizer takes its main inspiration from the directional navigation approach used by moths in nature. Moths fly at a steady angle to the moon at night. This is a particularly efficient method for traveling long distances in a straight line. Insects, on the other hand, are trapped in a useless/deadly spiral path around artificial lights. This chapter provides a review of published papers that used the MFO method. © 2024 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/B978-0-443-13925-3.00006-6
dc.identifier.endpage219
dc.identifier.isbn978-044313925-3
dc.identifier.isbn978-044313926-0
dc.identifier.scopus2-s2.0-85199039976
dc.identifier.scopusqualityN/A
dc.identifier.startpage205
dc.identifier.urihttps://doi.org/10.1016/B978-0-443-13925-3.00006-6
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4847
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofMetaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260612
dc.subjectAlgorithm
dc.subjectApplication
dc.subjectMetaheuristic
dc.subjectMoth Flame Optimization
dc.subjectOptimization
dc.subjectSurvey
dc.titleA review of mothflame optimization algorithm: analysis and applications
dc.typeBook Chapter

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu