Solving constrained optimization problems with sine-cosine algorithm

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dc.contributor.authorEkiz, Simge
dc.contributor.authorErdoğmuş, Pakize
dc.contributor.authorÖzgür, Büşra
dc.date.accessioned2020-04-30T13:33:23Z
dc.date.available2020-04-30T13:33:23Z
dc.date.issued2017
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractOptimization algorithms aim to find the optimum values that give the maximum or minimum result of a function under given circumstance. There are many approaches to solve optimization problems. Stochastic population-based optimization approaches tend to give the best results in a reasonable time. Two of the state-of-art stochastic optimization algorithms are Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). In addition, Sine-Cosine Algorithm is one of the recently developed stochastic population-based optimization algorithms. It is claimed that Sine-Cosine has a higher speed than the counterparts of it. Moreover, Sine-Cosine Algorithm occasionally outperforms other optimization algorithms including GA and PSO. This algorithm is successful because it can balance exploration and exploitation smoothly. In the previous studies, the above-mentioned algorithms were evaluated and compared to each other for the unconstrained optimization test functions. But there is no study on constrained optimization test problems. In this study, we aim to show the performance of Sine-Cosine Algorithm on constrained optimization problems. In order to achieve this, we are going to compare the performances by using well-known constrained test functions.en_US
dc.identifier.doi10.21533/pen.v5i3.131en_US
dc.identifier.endpage386en_US
dc.identifier.issn2303-4521
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage378en_US
dc.identifier.urihttps://dx.doi.org/10.21533/pen.v5i3.131
dc.identifier.urihttps://hdl.handle.net/20.500.12684/624
dc.identifier.volume5en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational University of Sarajevoen_US
dc.relation.ispartofPeriodicals of Engineering and Natural Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectConstrained Optimization Problems; Penalty Method; Sine-Cosine Optimization Algorithmen_US
dc.titleSolving constrained optimization problems with sine-cosine algorithmen_US
dc.typeArticleen_US

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