基于遗传模拟退火算法的减速器模块化设计的模块方法  

Module Partition Method of the Modular Design of Reducer based on Simulated Annealing and Genetic Algorithm

作　　者：赵韩[1] 张楠[1] 宗伟[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《机械传动》2015年第8期44-47,67,共5页Journal of Mechanical Transmission

基　　金：科技部国家科技支撑计划(2012BAF12B03)

摘　　要：模块划分是模块化设计的基础及关键性步骤,通过对产品功能相关性、几何相关性和物理相关性的分析形成零件间模糊相似矩阵,然后以模块高内聚、低耦合作为划分的依据,采用遗传模拟退火算法(SAGA)对产品进行模块划分,为模块划分提供一种高效、合理的方式,结合典型减速器实例验证算法的可行性及实用性。The module partition is the key step and foundation of module design. Firstly,the fuzzy similitude matrix between the parts is constructed according to the analysis of the functional correlation,geometric correlation,physics correlation among parts. Secondly,the partitioned modules are evaluated by high cohesion and low coupling. Finally,the products is classified by using the simulated annealing and genetic algorithm（ SAGA）,which is proved to be an efficient and rational way for module partition through the reducer instance.

关 键 词：模块划分 大规模定制 遗传算法 模拟退火算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TH132.46[自动化与计算机技术—控制科学与工程]