Modified gravitational search algorithm

dc.contributor.authorKazak, Nihan
dc.contributor.authorDuysak, Alpaslan
dc.date.accessioned2025-05-20T18:47:27Z
dc.date.issued2012
dc.departmentBilecik Şeyh Edebali Üniversitesi
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831
dc.description.abstractIn this paper, we present an efficient algorithm for solving optimization problems, which is based on gravitational search algorithm. In the proposed algorithm, called Member-Satellite algorithm, satellites have been appointed to all the agents which called as members in proposed algorithm. Members and their satellites are used to find a near optimal solution all together. The algorithm is continued with members or satellites with the best fitness value. Three benchmark functions are used to evaluate and to compare performance of the presented algorithm with GSA. The obtained results confirm the high performance of the proposed method in solving various nonlinear functions. © 2012 IEEE.
dc.identifier.doi10.1109/INISTA.2012.6247035
dc.identifier.isbn978-146731446-6
dc.identifier.scopus2-s2.0-84866613070
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/INISTA.2012.6247035
dc.identifier.urihttps://hdl.handle.net/11552/6393
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250518
dc.subjectgravitational search algorithm
dc.subjectheuristic algorithm
dc.subjectoptimization
dc.subjectswarm intelligence
dc.titleModified gravitational search algorithm
dc.typeConference Object

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