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http://hdl.handle.net/11452/29552
Başlık: | Seagull optimization algorithm for solving real-world design optimization problems |
Yazarlar: | Panagant, N. Pholdee, N. Bureerat, S. Sait, SM. Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği. Yıldız, Ali Rıza F-7426-2011 7102365439 |
Anahtar kelimeler: | 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 |
Yayın Tarihi: | 1-Haz-2020 |
Yayıncı: | Walter de Gruyter |
Atıf: | Panagant, N. vd. (2020). "Seagull optimization algorithm for solving real-world design optimization problems", Materials Testing, 62(6), 640-644. |
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. |
URI: | https://doi.org/10.3139/120.111529 https://www.degruyter.com/document/doi/10.3139/120.111529/html http://hdl.handle.net/11452/29552 |
ISSN: | 0025-5300 |
Koleksiyonlarda Görünür: | Scopus Web of Science |
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