南京航空航天大学学报2013，Vol.45Issue(4)：526-531,6.
基于人工鱼群与几何混合优化的圆度误差评定算法
Evaluation of Circularity Error Based on Hybrid Improved Artificial Fish Swarm and Geometric Algorithm
摘要
Abstract
In order to evaluate circularity error accurately and efficiently,a hybrid improved artificial fish swarm and geometric algorithm (HI-AFSA) is presented.Combining optimization algorithm with geometric method,the method first obtains the reference centre of mimmum zone circle through improved AFSA algorithm,then uses the geometric method to get the unique globe optimal solution by reference centre.A mutation mechanism is applied in classic AFSA algorithm.The convergence speed and precision of the artificial fish swarm algorithm are increased through improving the behavior of artificial fish.Finally,the experiment results show that compared with the genetic algorithm and the classic artificial fish swarm algorithm,the proposed hybrid optimization algorithm is feasible and efficient for the evaluating circularity error.关键词
圆度误差/评定/鱼群算法/几何方法Key words
circularity error/ evaluation/ artificial fish swarm algorithm/ geometric method分类
通用工业技术引用本文复制引用
叶明,唐敦兵,赵转萍,许东京..基于人工鱼群与几何混合优化的圆度误差评定算法[J].南京航空航天大学学报,2013,45(4):526-531,6.基金项目
国家自然科学基金(50875076)资助项目 （50875076）
江苏省杰出青年基金(SBK201210111)资助项目 （SBK201210111）
南京航空航天大学基本科研业务费专项科研(NS2012102)项目资助. （NS2012102）
