Application of a Parallel Genetic Algorithm for the Optimal Design of the Flexible Multi-Body Model Vehicle Suspensions

摘要：

A parallel genetic algorithm based master-slave module for the optimal design of the flexible multi-body model vehicle suspensions is presented. This paper tests the algorithm on the cluster system based MPI. The results show that the application of the algorithm presented in this paper is better for the optimization and also improves the efficiency of the computing time.

作者: Jingjun ZHANG Kanghua LOU Guanyuan LIU Yang SUN Ruizhen GAO

作者单位: Hebei University of Engineering, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）