面向产品配置设计的改进交互式遗传算法  

Improved Interactive Genetic Algorithm for Product Configuration Design

作　　者：朱佳栋 苏少辉[1] 陈昌[1] 刘桂英 ZHU Jiadong;SU Shaohui;CHEN Chang;LIU Guiying(Mechanical Engineering College,Hangzhou Dianzi University,Hangzhou,310018)

机构地区：[1]杭州电子科技大学机械工程学院,杭州310018

出　　处：《中国机械工程》2018年第20期2474-2478,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(51405117;51475129)

摘　　要：针对传统的交互式遗传算法不能很好地减少用户疲劳的问题,对其进行了优化。通过对变异个体和遗传操作的改进设计,对其进行了优化,并将其应用到多功能液压千斤顶的配置设计中。将所得到的产品配置结果与传统交互式遗传算法的结果进行比较,发现新的交互式遗传算法不仅可以有效地减少用户疲劳,还可以更快地配置出令用户满意的产品。Traditional interactive genetic algorithm was optimized to reduce customer fatigue.It is optimized by improving the individual variations and genetic manipulations,and was applied to the multi-functional hydraulic jack configurations.Through the results of the product configuration and compareing with the traditional interactive genetic algorithm,the new interactive genetic algorithm may reduce user fatigue effectively,and faster configuration of products which satisfy with users.

关 键 词：产品配置 交互式遗传算法 优化设计 千斤顶 

分 类 号：TH122[机械工程—机械设计及理论]