A parallel genetic algorithm for the optimal design of multi-body model vehicle suspensions

Zhang Jingjun Zhang Jingjun,Gao Ruizhen Gao Ruizhen,Liu Guangyuan Liu Guangyuan,Lou Kanghua Lou Kanghua

doi:10.1109/ccgrid.2006.6

A parallel genetic algorithm for the optimal design of multi-body model vehicle suspensions

Zhang Jingjun Zhang Jingjun, Gao Ruizhen Gao Ruizhen + Show 2 more

https://doi.org/10.1109/ccgrid.2006.6

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Publication Date: Jan 1, 2006

Citations: 7

Affiliation: Hebei University of Engineering

#Parallel Genetic Algorithm #Parallel Algorithm + Show 8 more

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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.

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