A Coarse-Grained Genetic Algorithm for the Optimal Design of the Flexible Multi-body Model Vehicle Suspensions Based on Skeletons Implementing

摘要：

A parallel genetic algorithm based coarse-grained module for the optimal design of the flexible multibody model vehicle suspensions is presented and the skeleton implementing is constituted in this paper.this paper tests the algorithm on the cluster system.The results show that the application of the algorithm presented in this paper outperforms equivalent sequential genetic algorithms for the optimization and also improves the efficiency of the computing time.We also compare the coarse-grained genetic algorithm with the master-slave genetic algorithm,and find the result of the genetic algorithm based coarse-grained is better than the result of the parallel genetic algorithm based master-slave module.

作者: Guangyuan liu Jingjun Zhang Ruizhen Gao Yang Sun

作者单位: Hebei University of Engineering Hebei,P.R.China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）