基于遗传算法的数控机床服务模块配置设计  

Genetic Algorithm-based Service Module Configuration Design of CNC Machine Tools

作　　者：盛忠起[1] 徐涛[1] 旋嘉耀 宋均有 

机构地区：[1]东北大学机械工程与自动化学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2015年第6期848-852,共5页Journal of Northeastern University(Natural Science)

基　　金：中央高校基本科研业务费专项资金资助项目(N120403003);国家科技支撑计划项目(2012BAF12B08);辽宁省科技计划项目(2013020052;2011216010)

摘　　要：为实现数控机床总体配置的最优化设计,采用遗传算法对数控机床服务模块进行配置设计.根据数控机床产品全生命周期过程中相关服务类型,将服务模块划分为产品相关服务模块和产品不相关服务模块.主要研究产品不相关服务模块,利用遗传算法对各个服务模块进行编码,并以服务价值系数、服务质量水平和客户相对满意度作为优化目标构建适应度函数,建立数控机床服务模块化多目标模型.通过各个服务模块以及子模块之间的相互约束关系保证模型的有效性.最后,通过MATLAB编程求解得到服务模块配置方案.To realize the optimal design of the overall configuration of CNC machine tools,we use genetic algorithm to realize the configuration design of service module of CNC machine tools.According to the service type in product life cycle process,the service modules of CNC machine tools are classified into the product related service modules and the product unrelated service modules. We study the product unrelated service modules,using genetic algorithm to encode each service modules and using the service value coefficient,the service quality level and the customer satisfaction as the optimal object to establish the fitness function and set up the service modular multi-objective model of CNC machine tools. This algorithm can ensure the validity of the model through mutual constraint relationship between various service modules and submodules. Finally,the service module configuration scheme is solved by MATLAB.

关 键 词：遗传算法 数控机床 服务模块 配置设计 MATLAB 

分 类 号：TH164[机械工程—机械制造及自动化]