A new hybrid particle swarm optimization approach for structural design optimization in the automotive industry

Yildiz A. R.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, cilt.226, sa.D10, ss.1340-1351, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 226 Sayı: D10
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1177/0954407012443636
  • Dergi Adı: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1340-1351
  • Anahtar Kelimeler: Structural design optimization, particle swarm optimization, Taguchi's method, robust design, GLOBAL OPTIMIZATION, GENETIC ALGORITHM, IMMUNE ALGORITHM, PARAMETER DESIGN, TOPOLOGY DESIGN, SEARCH
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This paper presents an innovative optimization approach to solve structural design optimization problems in the automotive industry. The new approach is based on Taguchi's robust design approach and particle swarm optimization algorithm. The proposed approach is applied to the structural design optimization of a vehicle part to illustrate how the present approach can be applied for solving design optimization problems. The results show the ability of the proposed approach to find better optimal solutions for structural design optimization problems.