Optimal design of truss structures using weighted superposition attraction algorithm
[ X ]
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a recently developed swarm based metaheuristic algorithm called weighted superposition attraction (WSA) is implemented for sizing optimization of truss structures first time in literature. The WSA algorithm based on superposition and attracted movement of agents that are observable in many natural systems. The efficiency and robustness of the WSA are investigated by solving five classic 2D and 3D truss-weight minimization problems with fixed-geometry and up to 200 elements. Optimization results demonstrated that WSA is able to generate the best results in terms of optimized weight, standard deviation and number of structural analyses in comparison to all other compared state-of-the-art metaheuristic algorithms.
Açıklama
Anahtar Kelimeler
Sizing optimization, Truss structures, Weighted superposition attraction algorithm, Metaheuristic algorithms, Nonlinear optimization
Kaynak
Engineering With Computers
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
36
Sayı
3
