Evaluation of Flatness Error Based on the Improved Particle Swarm Optimization

摘要：

Based on the standards of the Geometric Product specification and Verification—the new generation of GPS, a minimum zone mathematical model for evaluation of flatness error was given. The mathematical model of flatness error was first constructed by using Lpnorm on the basis of operations of the new generation of GPS. According to the characteristics of flatness error, an improved Particle Swarm Optimization (PSO) method based on genetic hybrid gene was applied to solve the mathematical model and the flatness error is obtained. Finally, an example verifies the feasibility and availability of the proposed method.

关键词： the new generation of GPS Particle Swarm Optimization (PSO) flatness evaluation hybrid genes.

作者: Xiao Yu Meifa Huang

作者单位: School of Mechanical and Electrical Engineering,Guilin University of Electronic Technology Guilin,541004,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4266-4269

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）