The optimisation of spot-weld positions for vehicle design by using hybrid meta-heuristics

Hiroshi Hasegawa, Hiroto Sasaki, Hiroyasu Uehara, Keishi Kawamo

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Digital engineering is considered to be a powerful technology for improving the competitive power of products. Optimal design is an especially important technology. Products that have a competitive power usually have core technologies in design and manufacturing fields. Spot-weld technology, such as the positions and number of spot-welds on the white-body, indicates the technological level of an automotive company. This technology is a typical core technology. In this paper, a meta-heuristic method is proposed, an integer optimisation method on the discrete type, by using hybrid meta-heuristics for vehicle design. The proposed method is applied to some benchmark functions to check its performance, and it is shown that it improves the computational cost and convergence up to the optimal solution. Furthermore, the paper deals with the optimisation of spot-weld positions by the proposed method for aidingthe core technology of the vehicle design. The effectiveness of the proposed method is discussed through optimisation of benchmark functions and spotweld positions.

Original languageEnglish
Pages (from-to)151-172
Number of pages22
JournalInternational Journal of Vehicle Design
Volume43
Issue number1-4
DOIs
Publication statusPublished - 2007

Keywords

  • Automotive design
  • Direct search
  • Evolutionary computation
  • Finite element method
  • Genetic algorithm
  • Manufacturing
  • Meta-heuristics
  • Multi-peak optimisation
  • Simulated annealing
  • Spot weld

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering

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