Paper Info
Title
Study on straightness error evaluation of spatial lines based on a hybrid ant colony algorithm
Abstract
Based on the analysis of existing evaluation methods for straightness errors, an intelligent evaluation method for spatial straightness errors is provided in this paper. The evolutional optimum model and the calculation process are introduced in detail. According to characteristics of straightness error for spatial lines evaluation, an improved Ant Colony Optimisation ACO algorithm is proposed to evaluate the minimum zone error. Compared with conventional optimum evaluation methods such as Simplex search and Powell method, it can find the global optimal solution and the precision of calculating result is very high. Then, the objective function calculation approaches for using the ACO to evaluate minimum zone error are formulated. Finally, the control experiment results evaluated by different optimal methods such as the Least Square, Simplex search, Powell search and Genetic Algorithm, indicate that the proposed method does provide better accuracy on spatial straightness error evaluation and it has fast convergent speed as well as using computer.
Year
DOI
Venue
2015
10.1504/IJWMC.2015.069390
International Journal of Wireless and Mobile Computing
Field
DocType
Volume
Ant colony optimization algorithms,Least squares,Computer science,Algorithm,Simplex,Artificial intelligence,Ant colony,Genetic algorithm,Optimal methods,Distributed computing
Journal
8
Issue
Citations 
PageRank 
3
2
0.41
References 
Authors
3
4
Name
Order
Citations
PageRank
Ke Zhang176.11
Xiangsheng Kong220.41
Jianping Luo3346.76
Shengze Wang492.94