摘要
为解决机械概念设计相关知识推送方式的被动性、及时性差、针对性弱等问题,提出一种基于改进人工免疫算法的知识推送方法。首先引入设计意图概念和特征知识概念并进行形式化的表达,以设计意图为标准推送至基于免疫原理的特征知识推送模型系统,并对该推送模型系统中各个子模块的用途、功能特征及设计原理进行详细阐述,针对其中最为重要的知识匹配问题采用改进人工免疫算法实现优化。实验结果表明,该模型减少了任务的完成时间且有较快的收敛速度。
To solve the problems of passivity,poor timeliness,weak pertinence and other issues for the related mechanical conceptual design knowledge push,an improved artificial immune algorithm based on the method of knowledge push was proposed.The concept of design intent and characteristic knowledge was put forward at first,and pushed to characteristic knowledge push system on the basis of design intent,then explained the using and function characteristic and design principle of each sub-model,lastly,to optimize the most important knowledge matching problem by using the improved artificial immune algorithm.The Experimental results show that the model reduces the task completion time and faster convergence speed.
作者
胡小光
张太华
杨静
谢永康
张均星
HU Xiao-guang;ZHANG Tai-hua;YANG Jing;XIE Yong-kang;ZHANG Jun-xing(Key Laboratory of Advanced Manufacturing Technology,Ministry of Education,Guizhou University,Guiyang 550025,China;Technology Engineering Center of Manufacturing Services and Knowledge Engineering,Guizhou Normal University,Guiyang 550025,China)
出处
《组合机床与自动化加工技术》
北大核心
2018年第3期4-7,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(71761007)
关键词
设计意图
免疫原理
人工免疫算法
知识推送
特征知识
design intent
immune principle
artificial immune algorithm
knowledge push
characteristic knowledge
