1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29552
Title: Seagull optimization algorithm for solving real-world design optimization problems
Authors: Panagant, N.
Pholdee, N.
Bureerat, S.
Sait, SM.
Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği.
Yıldız, Ali Rıza
F-7426-2011
7102365439
Keywords: 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
Issue Date: 1-Jun-2020
Publisher: Walter de Gruyter
Citation: Panagant, N. vd. (2020). "Seagull optimization algorithm for solving real-world design optimization problems", Materials Testing, 62(6), 640-644.
Abstract: 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
Appears in Collections:Scopus
Web of Science

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