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双横臂式前独立悬架的改进遗传算法优化
引用本文:刘江南,韩旭,陈羽,刘桂萍.双横臂式前独立悬架的改进遗传算法优化[J].中国机械工程,2007,18(22):0-2759.
作者姓名:刘江南  韩旭  陈羽  刘桂萍
作者单位:湖南大学,长沙,410082
基金项目:国家重点基础研究发展计划(973计划)
摘    要:提出了自适应隔代映射遗传算法,使种群的交叉和变异概率根据适应度的大小自我调节,该算法经过了测试函数的测试。建立了基于响应面法的双横臂式前独立悬架的优化模型算法,运用该算法对其进行优化设计,并对设计结果进行了仿真和分析。结果表明:该方法提高了收敛速度和搜索效率,对以车轮接地点侧向滑移量为目标的优化设计有显著效果。

关 键 词:自适应  隔代映射遗传算法  双横臂式前独立悬架  响应面法
文章编号:1004-132X(2007)22-2756-04
修稿时间:2007-06-28

Improved Genetic Algorithm and Its Application in Wishbone Type Independent Front Suspension’s Optimization
Liu Jiangnan,Han Xu,Chen Yu,Liu Guiping.Improved Genetic Algorithm and Its Application in Wishbone Type Independent Front Suspension’s Optimization[J].China Mechanical Engineering,2007,18(22):0-2759.
Authors:Liu Jiangnan  Han Xu  Chen Yu  Liu Guiping
Affiliation:Hunan University, Changsha, 410082
Abstract:Self-adaptive intergeneration projection genetic algorithm was developed to make the crossover probability and mutation probability adjust to the current individual fitness in the population.The algorithm was tested.Wishbone type independent front suspension model was established,based on response surface methodology,and optimized by applying self-adaptive genetic algorithm.The simulation analysis of the model was based on the optimization result.It is manifested that self-adaptive genetic algorithm improves the algorithm searching speed and convergence performance effectively.It shows that the optimization aimed at the minimum slippage of the tyre ground point is notable effective.
Keywords:self-adaptive  intergeneration projection genetic algorithm  wishbone type independent front suspension  response surface methodology
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