Paper Info
Title
Form Errors Evaluation Based on a Hybrid Optimization Algorithm.
Abstract
In order to realize precision measurement of parts, based on the analysis of existent evaluation methods for form errors, a hybrid evaluation method is provided in this paper. The hybrid global optimization algorithm based on ant colony optimization and simplex search method is proposed. The optimum model and the calculation process are introduced, where the planar straightness error is discussed as an example. The hybrid optimization algorithm can improve the efficiency and accuracy of searching in the whole field by gradually shrinking the area of optimization variable. Finally, a control experiment is carried out, and the calculation results by using different method such as the least square, simplex search, Powell optimum methods and GA, show that the hybrid evaluation method is feasible and satisfactory in the evaluation of form errors. © 2011 ACADEMY PUBLISHER.
Year
DOI
Venue
2011
10.4304/jcp.6.8.1605-1612
JCP
Keywords
Field
DocType
ant colony,evaluation,form error,hybrid optimization
Ant colony optimization algorithms,Least squares,Mathematical optimization,Computer science,Meta-optimization,Simplex,Multi-swarm optimization,Planar,Ant colony,Metaheuristic
Journal
Volume
Issue
Citations 
6
8
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Ke Zhang176.11
Shiming Wang212.40