An advanced Salp Swarm Algorithm for optimization problems

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dc.contributor.authorTürkoğlu, Bahaeddin
dc.date.accessioned2024-11-07T13:16:45Z
dc.date.available2024-11-07T13:16:45Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe Salp Swarm Algorithm (SSA) is a metaheuristic optimization algorithm inspired by Salp swarms' biological characteristics and colony strategies. There is a wide variety of studies conducted with SSA in the literature. These studies have revealed some significant disadvantages of SSA, the most critical being the imbalance of exploration and exploitation. In this study, an equilibrium operator has been developed using the Ikeda map. Thanks to this enhancement, the performance of the SSA algorithm has increased, and issues such as premature convergence and local optima have been overcome. To evaluate the proposed method, ten fixed-dimension benchmark problems and three engineering design optimization problems were solved. The proposed method is validated by comparing four well-known metaheuristic approaches and the original SSA. Experimental results demonstrated that the proposed method outperforms the compared methods.
dc.identifier.doi10.28948/ngumuh.1195013
dc.identifier.endpage1078
dc.identifier.issn2564-6605
dc.identifier.issue4
dc.identifier.startpage1071
dc.identifier.trdizinid1201895
dc.identifier.urihttps://doi.org/10.28948/ngumuh.1195013
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1201895
dc.identifier.urihttps://hdl.handle.net/11480/12546
dc.identifier.volume12
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofNiğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectSalp Swarm Algorithm
dc.subjectEngineering Design Problem
dc.subjectGlobal Optimization
dc.titleAn advanced Salp Swarm Algorithm for optimization problems
dc.typeArticle

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