A new Hybrid Taguchi-salp swarm optimization algorithm for the robust design of real-world engineering problems

YILDIZ A. R., Erdas M. U.

MATERIALS TESTING, cilt.63, sa.2, ss.157-162, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 63 Sayı: 2
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1515/mt-2020-0022
  • Dergi Adı: MATERIALS TESTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.157-162
  • Anahtar Kelimeler: Optimum design, seat bracket, salp swarm, Taguchi apporach, STRUCTURAL OPTIMIZATION, DIFFERENTIAL EVOLUTION, SEARCH APPROACH, OPTIMUM DESIGN, SHAPE DESIGN, WATER CYCLE, GREY WOLF, ANT LION, WHALE
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

yIn this paper, a new hybrid Taguchi salp swarm algorithm (HTSSA) has been developed to speed up the optimization processes of structural design problems in industry and to approach a global optimum solution. The design problem is posed for the shape optimization of a seat bracket with a mass objective function and a stress constraint. Objective function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations necessary for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm and, Harris hawks optimization algorithm are used to compare the performance of the HTSSA in solving the structural design problem. The results show the hybrid Taguchi salp swarm algorithm's ability and the superiority of the method developed for optimum product design processes.