Title :
Sphericity Error Evaluation Based on an Improved Particle Swarm Optimization
Author :
Meifa, Huang ; Xiao, Yu ; Yanru, Zhong ; Bing, Kuang
Author_Institution :
Sch. of Mech. & Electr. Eng., Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
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 Lp-norm 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.
Keywords :
error analysis; genetic algorithms; particle swarm optimisation; Lp-norm; flatness error; genetic hybrid gene; geometric product specification and verification; improved particle swarm optimization; minimum zone mathematical model; sphericity error evaluation; Computer errors; Error correction; Genetics; Global Positioning System; Hybrid power systems; Mathematical model; Measurement standards; Metrology; Particle swarm optimization; Shape measurement; Particle Swarm Optimization (PSO); Sphericity; evaluation; hybrid genes; the new generation of GPS;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.73
