Cluster Computing and the Grid, IEEE International Symposium on (2006)
May 16, 2006 to May 19, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2006.6
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.
L. Guangyuan, L. Kanghua, Z. Jingjun and G. Ruizhen, "A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions," Cluster Computing and the Grid, IEEE International Symposium on(CCGRID), Singapore, 2006, pp. 261-264.