中国机械工程

• 智能制造 • 上一篇    下一篇

面向产品配置设计的改进交互式遗传算法

朱佳栋;苏少辉;陈昌;刘桂英   

  1. 杭州电子科技大学机械工程学院,杭州,310018
  • 出版日期:2018-10-25 发布日期:2018-10-19
  • 基金资助:
    国家自然科学基金资助项目(51405117,51475129)
    National Natural Science Foundation of China (No51405117,51475129)

Improved Interactive Genetic Algorithm for Product Configuration Design

ZHU Jiadong;SU Shaohui;CHEN Chang;LIU Guiying   

  1. Mechanical Engineering College,Hangzhou Dianzi University,Hangzhou,310018
  • Online:2018-10-25 Published:2018-10-19
  • Supported by:
    National Natural Science Foundation of China (No51405117,51475129)

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。

关键词: 产品配置, 交互式遗传算法, 优化设计, 千斤顶

Abstract: 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.

Key words: product configuration, interactive genetic algorithm, optimal design, jack

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