Nature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation Systems

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dc.contributor.authorErdoğmuş, Pakize
dc.date.accessioned2025-03-24T19:50:01Z
dc.date.available2025-03-24T19:50:01Z
dc.date.issued2018
dc.departmentDüzce Üniversitesi
dc.description.abstractThe aim of this article is both to introduce recent published nature-inspired optimization algorithms and to compare the performances of them. Four benchmark test problems(two unimodal, two multimodal) and four nonlinear equations systems were used for the comparison. The results were submitted. It was seen with these test results, we can not say that one of the algorithms outperforms. But all af them can be an alternative for solving the nonlinear equation systems.
dc.identifier.endpage57
dc.identifier.issn2636-8129
dc.identifier.issue1
dc.identifier.startpage44
dc.identifier.urihttps://hdl.handle.net/20.500.12684/19431
dc.identifier.volume1
dc.language.isoen
dc.publisherSakarya Üniversitesi
dc.relation.ispartofSakarya University Journal of Computer and Information Sciences
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250324
dc.subjectNature-Inspired Optimization Algorithms|Nonlinear Equation Systems|Grey Wolf Optimization|Ant-Lion Algorithm|Whale Optimization Algorithm|Salp Swar Algorithm
dc.titleNature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation Systems
dc.typeArticle

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