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

China Mechanical Engineering ›› 2011, Vol. 22 ›› Issue (7): 878-881.

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

Xu Wenqing1,2;Chen Jian1,2

1.Hefei University of Technology，Hefei，230009

2.Automotive NVH Engineering and Technology Research Center Anhui Province，Hefei,230009

Online:2011-04-10 Published:2011-04-15
Supported by:

National High-tech R&D Program of China (863 Program) （No. 2006AA110101）;
Anhui Provincial Key Technology R&D Program（No. 08010202011，08010201002）

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

许闻清1,2;陈剑1,2

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

基金资助:
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)
National High-tech R&D Program of China (863 Program) （No. 2006AA110101）;
Anhui Provincial Key Technology R&D Program（No. 08010202011，08010201002）

Abstract

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.

Key words:

powertrain mounting system, energy decoupling, genetic simulated annealing algorithm, Monte Carlo method

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。



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

CLC Number:

U464

HU Wen-Qing, CHEN Jian.

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

[J]. China Mechanical Engineering, 2011, 22(7): 878-881.

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.

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