Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)
A Parallel Genetic Algorithm for the Optimal Design of Multi-body Model Vehicle Suspensions
Singapore
May 16-May 19
ISBN: 0-7695-2585-7
DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/CCGRID.2006.6
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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