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

作     者：Guangyuan Liu Scientific Research Office Hebei University of Engineering Handan China Jingjun Zhang Ruizhen Gao Yang Sun College of Info & Electric Engineering Hebei University of Engineering Handan China 

会议名称：《2009 2nd IEEE International Conference on Computer Science and Information Technology（ICCSIT 2009）》

会议日期：2009年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程] 

基　　金：the supports of National Natural Sciences Foundation of China under theproject number 60875037 Natural Sciences Foundation of Hebei Province under No.F2007000710 andNo.E2008000731 

关 键 词：Vehicle suspension Genetic Algorithm Parallel Genetic Algorithm Fixed Point Theory Cluster system 

摘      要：Based on an improved genetic algorithm,a parallel genetic algorithm is presented and the skeleton implementing is constituted in this *** 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 *** parallel genetic algorithm of multi-body model vehicle suspension optimization is implemented through establishing the interface between ADAMS software and the genetic *** results show that the parallel genetic algorithm developed in this paper is efficient.