Research on roundness error evaluation based on the improved artificial bee colony algorithm

被引：0

作者：

Luo J. ^{[1
]}

Lin Y. ^{[1
]}

Liu X. ^{[2
]}

Zhang P. ^{[2
]}

Zhou D. ^{[1
]}

Chen J. ^{[2
]}

机构：

[1] Key Lab for Optoelectronic Technology & System of the Ministry of Education, Chongqing University, Chongqing

[2] 5011 District Measurement Station of Weapon Industry, Chongqing

来源：

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2016年 / 52卷 / 16期

关键词：

Artificial bee colony algorithm(ABC); Error evaluation; Minimum zone; Roundness error;

D O I：

10.3901/JME.2016.16.027

中图分类号：

学科分类号：

摘要：

According to the weakness of artificial bee colony algorithm(ABC), a new improved artificial bee colony algorithm(IABC) is presented and is applied to evaluate roundness error in minimum zone. The improved algorithm use information entropy to initialize population to enhance diversity, besides, a new search strategy is proposed in the stage of employed bees and onlookers. The fundamentals and implementation techniques of IABC are discussed. The optimal target function for roundness error evaluation and the fitness function of IABC are introduced. A series of classical test functions are selected in the experiments, the simulation results verifies the feasibility of IABC. Through several algorithms to measure some same sets of data for roundness error evaluation experiment, the results show that the evaluation precision of IABC is better than least square method(LSM), genetic algorithm(GA), particle swarm optimization(PSO) and some other algorithms, and it is superior to ABC in optimization of efficiency, quality and stability, the experiment results also show that IABC is correct and is a unified approach for roundness error evaluations. © 2016 Journal of Mechanical Engineering.

引用

页码：27 / 32

页数：5

共 18 条

[1]

Karaboga D., An idea based on honey bee swarm for numerical optimization, (2005)

[2]

Karaboga D., Basturk B., On the performance of artificial bee colony (ABC) algorithm, Applied Soft Computing, 8, 1, pp. 687-697, (2008)

[3]

Karaboga D., Akay B., A comparative study of artificial bee colony algorithm, Applied Mathematics and Computation, 214, 1, pp. 108-132, (2009)

[4]

Karaboga D., Basturk B., A powerful and efficient algorithm for numerical function optimization, Journal of Global Optimization, 39, 3, pp. 459-471, (2007)

[5]

Li X.M., Liu H.Q., Simple and efficient algorithms for roundness evaluation from the coordinate measurement data, Measurement Science and Technology, 43, 2, pp. 223-235, (2010)

[6]

Jywe W.Y., Chen C.K., Liu C.H., The min-max problem for evaluate the form error of a circle, Measurement, 26, 4, pp. 273-282, (1999)

[7]

Yue W., Wu Y., Fast and accurate evaluation of roundness error based on simulation incremental algorithm, Chinese Journal of Mechanical Engineering, 44, 1, pp. 87-91, (2008)

[8]

Cui C.C., Che R.S., Ye D., Circularity error evaluation using genetic algorithm, Optics and Precision Engineering, 9, 6, pp. 499-505, (2001)

[9]

Andrea R., Michele A., Matteo B., Et al., Fast genetic algorithm for roundness evaluation by the minimum zone tolerance method, Measurement, 44, 7, pp. 1243-1252, (2011)

[10]

Cui C., Huang F., Zhang R., Et al., Roundness error evaluation based on the particle swarm optimization, Acta Metrologica Sinica, 27, 4, pp. 317-320, (2006)

← 1 2 →