中国机械工程2011,Vol.22Issue(7):878-881,4.
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
摘要
Abstract
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Key words
powertrain mounting system/ energy decoupling/ genetic simulated annealing algorithm/ Monte Carlo method分类
交通工程引用本文复制引用
许闻清,陈剑..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[J].中国机械工程,2011,22(7):878-881,4.基金项目
国家高技术研究发展计划(863计划)资助项目(2006AA110101) (863计划)
安徽省科技攻关项目(08010202011,08010201002) (08010202011,08010201002)