Optimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithm

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dc.authorid0000-0001-8885-6468en_US
dc.contributor.authorDeğertekin, Sadık Özgür
dc.contributor.authorTutar, Hikmet
dc.date.accessioned2024-01-17T12:43:08Z
dc.date.available2024-01-17T12:43:08Z
dc.date.issued2022en_US
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractIn this paper, three powerful metaheuristic algorithms, modified teaching learning based optimization, modified jaya algorithm and hybrid learning based jaya algorithm are presented for optimized seismic design of planar/spatial steel frames. The hybrid learning based jaya algorithm combines the learning phase of teaching learning based optimization and jaya algorithm. The goal is to design steel frames of minimum weight under strength, interstory drift and geometric-size constraints. One planar and two spatial steel frames previously designed for minimum weight by different metaheuristic optimization methods are taken as design examples to test the proposed methods. The methods presented in this paper are compared with other referenced algorithms in terms of optimized weight and computational cost. It is found that the hybrid learning based jaya algorithm outperforms modified teaching learning based optimization, modified jaya algorithm and its other competitors in all test problems.en_US
dc.identifier.citationDeğertekin, S. Ö. ve Tutar, H. (2022). Optimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithm. Advances in Engineering Software, 171, 1-24.en_US
dc.identifier.doi10.1016/j.advengsoft.2022.103172
dc.identifier.endpage24en_US
dc.identifier.issn0965-9978
dc.identifier.scopus2-s2.0-85133270611
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0965997822000837?via%3Dihub
dc.identifier.urihttps://hdl.handle.net/11468/13212
dc.identifier.volume171en_US
dc.identifier.wosWOS:000826478800004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDeğertekin, Sadık Özgür
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofAdvances in Engineering Software
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHybrid learning based jaya algorithmen_US
dc.subjectPlanar/spatial steel framesen_US
dc.subjectSeismic designen_US
dc.subjectStructural optimizationen_US
dc.titleOptimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithmen_US
dc.titleOptimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithm
dc.typeArticleen_US

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