Yayın: Seagull optimization algorithm for solving real-world design optimization problems
Tarih
Kurum Yazarları
Yıldız, Ali Rıza
Yazarlar
Panagant, N.
Pholdee, N.
Bureerat, S.
Sait, SM.
Danışman
Dil
Türü
Yayıncı:
Walter de Gruyter
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Özet
In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint. Function evaluations are carried out using finite element analysis and estimated by using a Kriging model. The results show that SOA has outstanding features just as the whale optimization algorithm and salp swarm optimization algorithm for designing optimal components in the industry.
Açıklama
Kaynak:
Anahtar Kelimeler:
Konusu
Seagull optimization algorithm, Control arm, Shape optimization, Structural design, Differential evolution, Gravitational search, Hybrid approach, Ant lion, Crashworthiness, Parameters, Materials science, Mechanical engineering, Mechanical properties, Design problems, Kriging model, Optimization algorithms, Real-world designs, Research papers, Stress constraints, Structural mass, Structural shape
Alıntı
Panagant, N. vd. (2020). "Seagull optimization algorithm for solving real-world design optimization problems", Materials Testing, 62(6), 640-644.