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蚁群优化算法在加工工艺知识发现中的应用
引用本文:王铁伟,于,金,王明海.蚁群优化算法在加工工艺知识发现中的应用[J].宇航材料工艺,2010,40(3).
作者姓名:王铁伟      王明海
作者单位:沈阳航空工业学院机电工程学院,沈阳,110136
摘    要:针对加工工艺数据复杂、庞大、多变的特点,为解决加工工艺知识的匹配与推理的关键性技术,将模拟生态系统的模糊聚类算法应用于加工工艺知识库。提出了基于蚁群算法的工艺知识发现的概率查询方法,并建立加工工艺知识库的数学模型。通过输入关键词运行蚁群算法,描绘出索引地图,提取分析所需要的加工工艺序列。最后以铣加工工艺为例进行实例验证,结果表明,基于蚁群算法的工艺知识发现高效全面地优化了工艺序列。

关 键 词:知识发现  蚁群优化  规则  聚类  索引地图

Ant-Colony Optimization Method for Knowledge Discovery in Processing Technology
Wang Tiewei,Yu Jin,Wang Minghai.Ant-Colony Optimization Method for Knowledge Discovery in Processing Technology[J].Aerospace Materials & Technology,2010,40(3).
Authors:Wang Tiewei  Yu Jin  Wang Minghai
Institution:School of Mechanical and Electrical Engineering,Shenyang Institute of Aeronautical Engineering
Abstract:Processing technology is much more complex, usually large in size,and continuously changes. Aiming
to solve a series of key technologies during the matching and reasoning of discovery,a clustering algorithm that imitates the ecosystem taking into account the features of processing technology data was presented. A method of processing knowledge discovery is implemented by using of an Ant-Colony clustering algorithm and probable query,baseed on the method,the mathematical model of processing knowledge is establised. By inputing process data,Ant-Colony algorithm can be operated,the index map can be described,the process procedure can be drawn. Finally,an instance is verified based on the process information table of the milling. The result proves that the knowledge discovery based on the Ant-Colony clustering algorithm model optimizes the process sequence comprehensively and efficiently.
Keywords:
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