Seagull optimization algorithm for solving real-world design optimization problems


Panagant N., Pholdee N., Bureerat S., YILDIZ A. R. , Sait S. M.

MATERIALS TESTING, vol.62, no.6, pp.640-644, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 62 Issue: 6
  • Publication Date: 2020
  • Doi Number: 10.3139/120.111529
  • Journal Name: MATERIALS TESTING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex
  • Page Numbers: pp.640-644
  • Keywords: Seagull optimization algorithm, control arm, shape optimization, structural design, STRUCTURAL DESIGN, DIFFERENTIAL EVOLUTION, GRAVITATIONAL SEARCH, HYBRID APPROACH, ANT LION, CRASHWORTHINESS, PARAMETERS
  • Bursa Uludag University Affiliated: Yes

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.