Seagull optimization algorithm for solving real-world design optimization problems
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...
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| Veröffentlicht in: | Materialprüfung 2020-06, Vol.62 (6), p.640-644 |
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| container_title | Materialprüfung |
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| creator | Panagant, Natee Pholdee, Nantiwat Bureerat, Sujin Kaen, Khon Yıldız, Ali Rıza Sait, Sadiq M. |
| description | 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. |
| doi_str_mv | 10.3139/120.111529 |
| format | Article |
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| ispartof | Materialprüfung, 2020-06, Vol.62 (6), p.640-644 |
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| source | De Gruyter journals |
| subjects | control arm Seagull optimization algorithm shape optimization structural design |
| title | Seagull optimization algorithm for solving real-world design optimization problems |
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