A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems

dc.authorid0000-0001-7592-8733en_US
dc.contributor.authorYıldız, Betül Sultan
dc.date.accessioned2021-03-20T20:14:16Z
dc.date.available2021-03-20T20:14:16Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractNowadays, designing of light-weight components is a very critical issue needed to be solved in industry. Different optimisation techniques have been developed to design light-weight components. In this research, a comparison of population-based optimisation algorithms for optimal design is presented. Additionally, a hybrid interior search-hill climbing algorithm is developed for optimising mechanical and structural design problems such as tension spring problem, welded beam problem, pressure vessel problem and optimal design of a vehicle sliding door hinge. It is shown that the result of the hybrid interior search algorithm (H-ISA) is better than gravitational search algorithm (GSA), ant lion optimiser (ALO), firefly algorithm (FFA), bat algorithm (BAT), league championship algorithm (LCA), symbiotic organisms search (SOS), imperialist competitive algorithm (ICA) and charged system search algorithm (CSS).en_US
dc.identifier.endpage218en_US
dc.identifier.issn0143-3369
dc.identifier.issn1741-5314
dc.identifier.issue1-3en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage208en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1024
dc.identifier.volume73en_US
dc.identifier.wosWOS:000397192300013en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYıldız, Betül Sultan
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofInternational Journal Of Vehicle Designen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectinterior search algorithmen_US
dc.subjecthill-climbingen_US
dc.subjectoptimisationen_US
dc.titleA comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problemsen_US
dc.typeArticleen_US

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