Articles | Volume 13, issue 1
Research article
23 Jun 2022
Research article |  | 23 Jun 2022

Roundness error evaluation in image domain based on an improved bee colony algorithm

Benchi Jiang, Xin Du, Shilei Bian, and Lulu Wu

Related subject area

Subject: Machining and Manufacturing Processes | Techniques and Approaches: Mathematical Modeling and Analysis
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Cited articles

Bansal, J. C., Joshi, S. K. and Sharma, H.: Modified global best artificial bee colony for constrained optimization problems, Computers and Electrical Engineering, 67, 365–382,, 2018.  
Cui, C. C., Huang, F. G., Zhang, R. C., and Li, B.: Roundness Error Evaluation Based on the Particle Swarm Optimization, Acta Metrologica Sinica, 4, 317–320,, 2006. 
Ding, L.: Design and application of roundness and cylindricity error evaluation algorithm, Xidian University,, 2013. 
Huang, F. G. and Zheng, Y. J.: A Method for Roundness Error Evaluation Based on Area Hunting., Acta Metrologica Sinica, 29, 117–119, (last access: 20 June 2022), 2008. 
Jadon, S. S., Bansal, J. C., Tiwari, R. and Sharma, H.: Accelerating Artificial Bee Colony Algorithm with Adaptive Local Search, Memet. Comput., 7, 215–230,, 2015. 
Short summary
In this paper, the traditional bee colony algorithm is improved, and its roundness error evaluation method is improved. For the roundness profile data of the part, the improved bee colony algorithm is used to determine the position and size of the circle. In order to improve the efficiency of the algorithm, the local search region of the population initialization is determined according to the definition of roundness error. The evaluation accuracy of this algorithm is better than common ones.