双横臂式前独立悬架的改进遗传算法优化  

Improved Genetic Algorithm and Its Application in Wishbone Type Independent Front Suspension's Optimization

作　　者：刘江南[1] 韩旭[1] 陈羽[1] 刘桂萍[1] 

机构地区：[1]湖南大学,长沙410082

出　　处：《中国机械工程》2007年第22期2756-2759,共4页China Mechanical Engineering

基　　金：国家重点基础研究发展计划资助项目(2004CB719402)

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。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.

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 

分 类 号：TH122[机械工程—机械设计及理论] U463[机械工程—车辆工程]