Comparative study on recent metaheuristic algorithms in design optimization of cold-formed steel structures

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dc.authorid0000-0002-3612-0640en_US
dc.contributor.authorSaka, Mehmet Polat
dc.contributor.authorÇarbaş, Serdar
dc.contributor.authorAydoğdu, I.
dc.contributor.authorAkın, Alper
dc.contributor.authorGeem, Z.W.
dc.date.accessioned2019-12-06T20:29:58Z
dc.date.available2019-12-06T20:29:58Z
dc.date.issued2015
dc.departmentKMÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014 -- 4 June 2014 through 6 June 2014 -- -- 172939en_US
dc.description.abstractSustainable construction aims at reducing the environmental impact of buildings on human health and natural environment by efficiently using energy, resources and reducing waste and pollution. Building construction has the capacity to make a major contribution to a more sustainable future of our World because this industry is one of the largest contributors to global warming. The use of coldformed steel framing in construction industry provides sustainable construction which requires less material to carry the same load compare to other materials and reduces amount of waste mimum design algorithms are developed for cold-formed steel frames made of thin-walled sections using the recent metaheuristic techniques. The algorithms considered are firefly, cuckoo search, artificial bee colony with levy flight, biogeography-based optimization and teaching-learning-based optimization algorithms. The design algorithms select the cold-formed thin-walled C-sections listed in AISI-LRFD (American Iron and Steel Institution, Load and Resistance Factor Design) in such a way that the design constraints specified by the code are satisfied and the weight of the steel frame is the minimum. A real size cold-formed steel building is optimized by using each of these algorithms and their performance in attaining the optimum designs is compared.en_US
dc.identifier.citationSaka, M. P., Çarbaş, S., Aydoğdu, I., Akın, A., Geem, Z. W. (2015). Comparative study on recent metaheuristic algorithms in design optimization of cold-formed steel structures. Computational Methods in Applied Sciences, 38, 145-173.
dc.identifier.doi10.1007/978-3-319-18320-6_9
dc.identifier.endpage173en_US
dc.identifier.isbn9783319183190
dc.identifier.issn1871-3033
dc.identifier.scopus2-s2.0-84963568651
dc.identifier.scopusqualityQ2
dc.identifier.startpage145en_US
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-319-18320-6_9
dc.identifier.urihttps://hdl.handle.net/11492/1859
dc.identifier.volume38en_US
dc.indekslendigikaynakScopus
dc.institutionauthorÇarbaş, Serdar
dc.language.isoen
dc.publisherSpringer Netherlanden_US
dc.relation.journalComputational Methods in Applied Sciencesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Bee Colony Algorithmen_US
dc.subjectBiogeographybased Optimization Algorithmen_US
dc.subjectCold-Formed Thinwalled Steel Framesen_US
dc.subjectCuckoo Search Algorithmen_US
dc.subjectDiscrete Optimizationen_US
dc.subjectFirefly Algorithmen_US
dc.subjectMetaheuristic Techniquesen_US
dc.subjectStructural Optimizationen_US
dc.subjectSwarm Intelligenceen_US
dc.subjectTeaching-Learning-Based Optimization Algorithmen_US
dc.titleComparative study on recent metaheuristic algorithms in design optimization of cold-formed steel structuresen_US
dc.typeConference Object

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