A comparison of recent metaheuristic algorithms for crashworthiness optimisation of vehicle thin-walled tubes considering sheet metal forming effects Online publication date: Thu, 02-Mar-2017
by Selçuk Karagöz; Ali Rıza Yıldız
International Journal of Vehicle Design (IJVD), Vol. 73, No. 1/2/3, 2017
Abstract: In this paper, recent optimisation techniques have been used to improve crash performance of a thin-walled tube considering influence of the forming history. In the optimisation study, weight and amount of the energy absorption of the thin-walled tubes are chosen as objective function and constraint, respectively. Radial basis functions (RBFs) metamodelling technique was used to approximate the structural responses selected in crash and forming analyses. The performances of recent optimisation algorithms which are particle swarm algorithm, cuckoo search algorithm, gravitational search algorithm (GSA), hybrid gravitational search-Nelder Mead algorithm (HGSANM), league championship algorithm (LCA), firefly algorithm, bat algorithm, interior search algorithm (ISA) and imperialist competitive algorithm (ICA) were investigated to find the optimal thin-walled tube design. The lowest mass of the components is obtained at 1000 function evaluation number (FEN) using hybrid GSA.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook