A Improved Parallel Genetic Algorithm Based on Fized Point Theory for the Optimal Design of Multi-body Model Vehicle Suspensions

摘要：

Based on an improved genetic algorithm, a parallel genetic algorithm is presented and the skeleton implementing is constituted in this paper. The van der Laan-Talman Algorithm is introduced to the genetic algorithm to design convergence criteria objectively and to solve the convergence problem in the later period. The parallel genetic algorithm of multi-body model vehicle suspension optimization is implemented through establishing the interface between ADAMS software and the genetic algorithm. The results show that the parallel genetic algorithm developed in this paper is efficient.

关键词： Vehicle suspension Genetic Algorithm Parallel Genetic Algorithm Fized Point Theory Cluster system

作者: Guangyuan Liu Jingjun Zhang Ruizhen Gao Yang Sun

作者单位: Scientific Research Office Hebei University of Engineering Handan, China College of Info & Electric Engineering Hebei University of Engineering Handan, China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 430-433

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）