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A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions
Singapore May 16-May 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2006.6Sixth IEEE International Symposium on ...
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Zhang Jingjun, Liu Guangyuan, Gao Ruizhen, Lou Kanghua, "A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions," Cluster Computing and the Grid, IEEE International Symposium on, pp. 261-264, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006.
 
 
BibTex
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@article{ 10.1109/CCGRID.2006.6,
author = {Zhang Jingjun and Liu Guangyuan and Gao Ruizhen and Lou Kanghua},
title = {A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2585-7},
pages = {261-264},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2006.6},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions
SN - 0-7695-2585-7
SP261
EP264
A1 - Zhang Jingjun,
A1 - Liu Guangyuan,
A1 - Gao Ruizhen,
A1 - Lou Kanghua,
PY - 2006
KW - null
VL - 0
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
Zhang Jingjun, Hebei University of Engineering, China
Liu Guangyuan, Hebei University of Engineer, China
Gao Ruizhen, Hebei University of Engineering, China
Lou Kanghua, Hebei University of Engineering, China
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.
Citation:
Zhang Jingjun, Liu Guangyuan, Gao Ruizhen, Lou Kanghua, "A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions," ccgrid, pp.261-264, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006
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