摘要
提出了一种将蚁群算法应用在逆向工程特征参数提取中的新算法,该算法首先建立基于蚁群算法提取特征参数的数学模型,然后讨论了蚁群算法实现优化的原理、步骤和方法,通过设定蚁群优化参数运用M atlab程序实现优化,提取出特征参数值,完成曲面实体重建,最后通过实例验证了该算法的有效性。
A novel algorithm is proposed for feature extraction in reverse engineering for data processing. The ant colony algorithm （ACA） was applied. Firstly, the mathematic model is established which is suitable for extraction of feature parameter using ACA, and then the method and step of a parameter optimization using ACA is discussed. Setting the parameter of ACA for finishing optimization algorithm, the process is completed by Matlab programming. The feature parameters is extracted and curved surface is reconstructed. The new method is proved to be effective and flexible by experiments.
出处
《机械设计与研究》
CSCD
北大核心
2008年第4期6-9,共4页
Machine Design And Research
基金
国家"863"高技术研究发展计划资助项目(2006AA04Z402)
河南省教育厅自然基金项目(200510459060)
关键词
蚁群算法
数据点
特征提取
优化
ant colony algorithm
point data
feature extraction
optimization
