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

Yükleniyor...
Küçük Resim

Tarih

2015

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Netherland

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Sustainable 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.

Açıklama

1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014 -- 4 June 2014 through 6 June 2014 -- -- 172939

Anahtar Kelimeler

Artificial Bee Colony Algorithm, Biogeographybased Optimization Algorithm, Cold-Formed Thinwalled Steel Frames, Cuckoo Search Algorithm, Discrete Optimization, Firefly Algorithm, Metaheuristic Techniques, Structural Optimization, Swarm Intelligence, Teaching-Learning-Based Optimization Algorithm

Kaynak

WoS Q Değeri

Scopus Q Değeri

Q2

Cilt

38

Sayı

Künye

Saka, 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.