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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)
Department数字工厂研究室
Source PublicationMATHEMATICAL PROBLEMS IN ENGINEERING
ISSN1024-123X
2018
Volume2018Pages:1-11
Indexed BySCI ; EI
EI Accession number20180804818142
WOS IDWOS:000424800900001
Contribution Rank2
Funding OrganizationScientific 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
Abstract

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.

Language英语
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS KeywordABC ALGORITHM ; SENSOR ; OPTIMIZATION ; DESIGN ; PERFORMANCE
WOS Research AreaEngineering ; Mathematics
Funding ProjectScientific 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]
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21606
Collection数字工厂研究室
Corresponding AuthorWang H(王鹤)
Affiliation1.School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan 114051, China
2.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
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.
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