DocumentCode
3443174
Title
Application of a Parallel Genetic Algorithm for the Optimal Design of the Flexible Multi-body Model Vehicle Suspensions
Author
Zhang, Jingjun ; Lou, Kanghua ; Liu, Guangyuan ; Sun, Yang ; Gao, Ruizhen
Author_Institution
Hehei Univ. of Eng., Hebei
fYear
2007
fDate
23-25 May 2007
Firstpage
793
Lastpage
796
Abstract
A parallel genetic algorithm based master-slave module for the optimal design of the flexible multi-body model vehicle suspensions is presented. This paper tests the algorithm on the cluster system based MPI. The results show that the application of the algorithm presented in this paper is better for the optimization and also improves the efficiency of the computing time.
Keywords
genetic algorithms; message passing; suspensions (mechanical components); vehicles; MPI; cluster system; flexible multibody model; master-slave module; message passing interface; optimal design; parallel genetic algorithm; vehicle suspensions; Algorithm design and analysis; Automotive engineering; Clustering algorithms; Convergence; Genetic algorithms; Road vehicles; Robustness; Suspensions; System testing; Tires;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318516
Filename
4318516
Link To Document