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 :
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