鲸鱼优化算法在球度误差评定中的应用  

Application of Whale Optimization Algorithm in the Evaluation of Sphericity

作　　者：史栩屹 李明[1] Shi Xuyi;Li Ming

机构地区：[1]上海大学机电工程与自动化学院,上海200444

出　　处：《计量与测试技术》2019年第1期61-63,共3页Metrology & Measurement Technique

摘　　要：近年来,球度误差的计算越来越受到技术人员的关注,为了进一步提高球度误差的计算精度和迭代收敛速度,提出了将鲸鱼优化算法应用到球度误差计算模型之中。首先,根据标准,建立球度误差的最小区域数学模型。其次,对鲸鱼优化算法进行了介绍。最后,通过实例数据,对算法进行验证。结果表明了该算法在球度误差计算中的有效性和优越性。In recent years,the calculation of sphericity has been paid more and more attention by technicians,in order to further improve the calculation accuracy and iterative convergence speed of sphericity,the whale optimization algorithm is proposed to solve the sphericity calculation model.First of all,according to the standard,the mathematical model of sphericity is established under the minimum zone method.Secondly,the whale optimization algorithm is introduced.Finally,the algorithm is validated by the instance data.The results show that the algorithm is effective and advantageous in the calculation of sphericity.

关 键 词：球度误差 最小区域法 鲸鱼优化算法 

分 类 号：TB9[一般工业技术—计量学]