Using an Improved Artificial Bee Colony Algorithm for Parameter Estimation of a Dynamic Grain Flow Model

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	Using an Improved Artificial Bee Colony Algorithm for Parameter Estimation of a Dynamic Grain Flow Model
	Wang H(王鹤); Liang, Hongbin ; Gao L(高雷)
刊名	MATHEMATICAL PROBLEMS IN ENGINEERING
	2018
卷号	2018 页码:1-11
ISSN号	1024-123X
产权排序	2
英文摘要	An effective method is proposed to estimate the parameters of a dynamic grain flow model (DGFM). To this end, an improved artificial bee colony (IABC) algorithm is used to estimate unknown parameters of DGFM with minimizing a given objective function. A comparative study of the performance of the IABC algorithm and the other ABC variants on several benchmark functions is carried out, and the results present a significant improvement in performance over the other ABC variants. The practical application performance of the IABC is compared to that of the nonlinear least squares (NLS), particle swarm optimization (PSO), and genetic algorithm (GA). The compared results demonstrate that IABC algorithm is more accurate and effective for the parameter estimation of DGFM than the other algorithms.
资助项目	Scientific Research Foundation of the Education Department of Liaoning Province, China[2017LNQN22] ; Young Teachers Foundation of University of Science and Technology Liaoning, China[2017QN04] ; Nature Science Foundation of Liaoning Province, China[2015020128]
WOS关键词	ABC ALGORITHM ; SENSOR ; OPTIMIZATION ; DESIGN ; PERFORMANCE
WOS研究方向	Engineering ; Mathematics
语种	英语
WOS记录号	WOS:000424800900001
资助机构	Scientific Research Foundation of the Education Department of Liaoning Province, China ; Young Teachers Foundation of University of Science and Technology Liaoning, China ; Nature Science Foundation of Liaoning Province, China
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/21606]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Wang H(王鹤)
作者单位	1.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan 114051, China
推荐引用方式 GB/T 7714	Wang H,Liang, Hongbin,Gao L. Using an Improved Artificial Bee Colony Algorithm for Parameter Estimation of a Dynamic Grain Flow Model[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2018,2018:1-11.
APA	Wang H,Liang, Hongbin,&Gao L.(2018).Using an Improved Artificial Bee Colony Algorithm for Parameter Estimation of a Dynamic Grain Flow Model.MATHEMATICAL PROBLEMS IN ENGINEERING,2018,1-11.
MLA	Wang H,et al."Using an Improved Artificial Bee Colony Algorithm for Parameter Estimation of a Dynamic Grain Flow Model".MATHEMATICAL PROBLEMS IN ENGINEERING 2018(2018):1-11.