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具有禁忌策略的蜂群算法评定圆柱度误差
引用本文:罗钧,卢嘉江,陈伟民,付丽,刘学明,张平,陈建端.具有禁忌策略的蜂群算法评定圆柱度误差[J].重庆大学学报(自然科学版),2009,32(12):1482-1485.
作者姓名:罗钧  卢嘉江  陈伟民  付丽  刘学明  张平  陈建端
作者单位:罗钧,卢嘉江,陈伟民,付丽,LUO Jun,LU Jia-jiang,CHEN Wei-min,FU Li(重庆大学,光电技术及系统教育部重点实验室,重庆,400030);刘学明,张平,陈建端,LIU Xue-ming,ZHANG Ping,CHEN Jian-duan(兵器工业296区域计量站,重庆,400050) 
基金项目:国防科工委国防军工计量计划重点项目 
摘    要:针对最小二乘法评定误差较大,遗传、蚁群等仿生算法设置参数较多、收敛速度较慢的问题,结合圆柱度误差评定的特点,提出采用蜂群算法,来实现圆柱度误差的最小区域法评定.该算法借鉴了禁忌搜索算法的禁忌策略,用禁忌表存储局部最优解,增强对参数Limit的控制作用,提高全局搜索能力.实验研究结果表明,该方法能收敛到全局最优解,并且计算结果稳定,收敛速度很快,平均运算时间在1.2 S左右,适用于三坐标测量机等实时处理系统.

关 键 词:蜂群算法  禁忌策略  最小区域法  圆柱度

Cylindricity error evaluation using artificial bee colony algorithm with tabu strategy
LUO Jun,LU Jia jiang,CHEN Wei min,FU Li,LIU Xue ming,ZHANG Ping and CHEN Jian duan.Cylindricity error evaluation using artificial bee colony algorithm with tabu strategy[J].Journal of Chongqing University(Natural Science Edition),2009,32(12):1482-1485.
Authors:LUO Jun  LU Jia jiang  CHEN Wei min  FU Li  LIU Xue ming  ZHANG Ping and CHEN Jian duan
Institution:Key Laboratory for Optoelectronic Technology & System of the Ministry of Education,Chongqing University, Chongqing 400030, P.R. China;;Key Laboratory for Optoelectronic Technology & System of the Ministry of Education,Chongqing University, Chongqing 400030, P.R. China;;Key Laboratory for Optoelectronic Technology & System of the Ministry of Education,Chongqing University, Chongqing 400030, P.R. China;;Key Laboratory for Optoelectronic Technology & System of the Ministry of Education,Chongqing University, Chongqing 400030, P.R. China;;296 District Measurement Station of Weapon Industry, Chongqing 400050,P.R. China;296 District Measurement Station of Weapon Industry, Chongqing 400050,P.R. China;296 District Measurement Station of Weapon Industry, Chongqing 400050,P.R. China
Abstract:For cylindricity error evaluation, the Least Squares Method (LSM) is not good enough because of the big error, while the bionics algorithms such as Genetic and Ant Colony Algorithm need to set many parameters and converge slowly, an Artificial Bee Colony Optimization Algorithm is proposed to evaluate the minimum zone cylinder (MIC). This Algorithm refers the tabu strategy for tabu search algorithm to use the Tabu table to save the local optimization results. It enhances the control effect of parameter limit and improves the global convergence ability. Experiment results indicate that this method can converge to the global optimization very quickly. The average runtime is nearly 1.2 s. It is applicable to the real time processing system such as Three Coordinate Measuring Machine.
Keywords:artificial bee colony ABC  tabu strategy  minimum zone cylinder (MIC)  cylindricity
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