Seagull optimization algorithm for solving real-world design optimization problems

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

MATERIALS TESTING, cilt.62, sa.6, ss.640-644, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 62 Sayı: 6
  • Basım Tarihi: 2020
  • Doi Numarası: 10.3139/120.111529
  • Dergi Adı: MATERIALS TESTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex
  • Sayfa Sayıları: ss.640-644
  • Anahtar Kelimeler: Seagull optimization algorithm, control arm, shape optimization, structural design, STRUCTURAL DESIGN, DIFFERENTIAL EVOLUTION, GRAVITATIONAL SEARCH, HYBRID APPROACH, ANT LION, CRASHWORTHINESS, PARAMETERS
  • Bursa Uludağ Üniversitesi Adresli: Evet

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.