DocumentCode
453818
Title
A parallel genetic algorithm for the optimal design of multi-body model vehicle suspensions
Author
Jingjun, Zhang ; Guangyuan, Liu ; Ruizhe, Gao ; Kanghua, Lou
Author_Institution
Sci. Res. Office, Hebei Univ. of Eng., China
Volume
1
fYear
2006
fDate
16-19 May 2006
Lastpage
264
Abstract
Based on an improved genetic algorithm, a parallel genetic algorithm is presented and the running environment is constituted in this paper. The parallel genetic algorithm of multi-body model vehicle suspension optimization is implemented establishing an interface between ADAMS software and the genetic algorithm. The results show that the parallel genetic algorithm developed in this paper is efficient.
Keywords
genetic algorithms; mechanical engineering computing; parallel algorithms; suspensions (mechanical components); vehicles; ADAMS software; multibody model vehicle suspensions; optimal design; optimization; parallel genetic algorithm; Acceleration; Algorithm design and analysis; Concurrent computing; Genetic algorithms; Genetic mutations; Optimization methods; Power system modeling; Road vehicles; Robustness; Suspensions;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing and the Grid, 2006. CCGRID 06. Sixth IEEE International Symposium on
Conference_Location
Singapore
Print_ISBN
0-7695-2585-7
Type
conf
DOI
10.1109/CCGRID.2006.6
Filename
1630826
Link To Document