Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm

Yildiz A. R. , Kurtulus E., Demirci E., Yildiz B. S. , Karagoz S.

MATERIALS TESTING, vol.58, no.1, pp.75-78, 2016 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 58 Issue: 1
  • Publication Date: 2016
  • Doi Number: 10.3139/120.110823
  • Title of Journal : MATERIALS TESTING
  • Page Numbers: pp.75-78
  • Keywords: Thin-wall structures, crashworthiness, automotive, optimization algorithm, DESIGN OPTIMIZATION, TOPOLOGY DESIGN, IMMUNE ALGORITHM, SHAPE DESIGN, FRAMEWORK


In literature, a lot of research works have been presented on crashworthiness in order to develop crash performance of vehicles and thin-wall structures. In this research, a new hybrid optimization algorithm based on gravitational search algorithm and Nelder-Mead algorithm is introduced to improve crash performance of vehicles during frontal impact. The results show that the hybrid approach is very effective to develop crash performance of the vehicle components and thin-wall structures.