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, vol.226, no.D10, pp.1340-1351, 2012 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 226 Issue: D10
  • Publication Date: 2012
  • Doi Number: 10.1177/0954407012443636
  • Journal Name: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.1340-1351
  • Keywords: Structural design optimization, particle swarm optimization, Taguchi's method, robust design, GLOBAL OPTIMIZATION, GENETIC ALGORITHM, IMMUNE ALGORITHM, PARAMETER DESIGN, TOPOLOGY DESIGN, SEARCH

Abstract

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.