Seagull optimization algorithm for solving real-world design optimization problems

Natee Panagant; Nantiwat Pholdee; Sujin Bureerat; Khon Kaen; Ali Rıza Yıldız; Sadiq M. Sait

doi:10.3139/120.111529

Published by De Gruyter February 13, 2021

Seagull optimization algorithm for solving real-world design optimization problems

Natee Panagant , Nantiwat Pholdee , Sujin Bureerat , Khon Kaen , Ali Rıza Yıldız and Sadiq M. Sait

From the journal Materials Testing

https://doi.org/10.3139/120.111529

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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.

Keywords: Seagull optimization algorithm; control arm; shape optimization; structural design

Published Online: 2021-02-13

Published in Print: 2020-06-01

Seagull optimization algorithm for solving real-world design optimization problems

Abstract

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