Optimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithm
Yükleniyor...
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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.
Açıklama
Anahtar Kelimeler
Hybrid learning based jaya algorithm, Planar/spatial steel frames, Seismic design, Structural optimization
Kaynak
Advances in Engineering Software
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
171
Sayı
Künye
Değertekin, 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.
