A New Solution Approach for Non-Linear Equation Systems with Grey Wolf Optimizer

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dc.contributor.authorErdoğmuş, Pakize
dc.date.accessioned2025-03-24T19:48:32Z
dc.date.available2025-03-24T19:48:32Z
dc.date.issued2018
dc.departmentDüzce Üniversitesi
dc.description.abstractThe aim of this study is to bring a new perspective for the solutions of non-linear equation systems. So this study handles the non-linear equation systems as a constrained optimization problem, while generally is handled unconstrained optimization problem or multi objective optimization problem. The object is to minimize the sum of the squares of nonlinear equations under the nonlinear equality constraints. A recently developed heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is proposed for the solution of nonlinear equation systems. Two results were obtained. Firstly, it has been seen that GWO can be an alternative solution technique for the solution of nonlinear equation systems. Secondly, modelling the systems of nonlinear equations as constrained optimization gives better results.
dc.identifier.doi10.35377/saucis.01.03.475565
dc.identifier.issn2636-8129
dc.identifier.issue3
dc.identifier.urihttps://doi.org/10.35377/saucis.01.03.475565
dc.identifier.urihttps://hdl.handle.net/20.500.12684/19020
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.subjectNon-linear equation systems|heuristic methods|constrained optimization
dc.titleA New Solution Approach for Non-Linear Equation Systems with Grey Wolf Optimizer
dc.typeArticle

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