基于改进遗传模拟退火算法的动力总成悬置系统优化设计  

Optimization Design of Powertrain Mounting System Based on Improved Genetic Simulated Annealing Algorithm

作　　者：许闻清[1,2] 陈剑[1,2] 

机构地区：[1]合肥工业大学,合肥230009 [2]安徽省汽车NVH工程技术研究中心,合肥230009

出　　处：《中国机械工程》2011年第7期878-881,共4页China Mechanical Engineering

基　　金：国家高技术研究发展计划(863计划)资助项目(2006AA110101);安徽省科技攻关项目(08010202011;08010201002)

摘　　要：针对遗传算法和模拟退火算法各自的优缺点,研究将两者联合起来,并通过动态调节交叉概率和变异概率来防止遗传算法的早熟现象,形成改进的遗传模拟退火算法,并将其应用于动力总成悬置系统的优化。Owing to merits and demerits of genetic algorithm and simulated annealing algorithm,the two algorithms were combined.As the probabilities of crossover and mutation were dynamically adopted to overcome the premature phenomenon of genetic algorithm,A improved genetic simulated annealing algorithm was formed and used in the optimization of powertrain mounting system.

关 键 词：动力总成悬置系统 能量解耦 遗传模拟退火算法 蒙特卡罗方法 

分 类 号：U464[机械工程—车辆工程]