SIA OpenIR  > 数字工厂研究室
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)
作者部门数字工厂研究室
发表期刊MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN1024-123X
2018
页码1-11
收录类别SCI ; EI
EI收录号20180804818142
WOS记录号WOS:000424800900001
产权排序2
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
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.
语种英语
WOS类目Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]ABC ALGORITHM ; SENSOR ; OPTIMIZATION ; DESIGN ; PERFORMANCE
WOS研究方向Engineering ; Mathematics
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]
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/21606
专题数字工厂研究室
通讯作者Wang H(王鹤)
作者单位1.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
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,2018:1-11.
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,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):1-11.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Using an Improved Ar(2509KB)期刊论文作者接受稿开放获取ODC PDDL浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang H(王鹤)]的文章
[Liang, Hongbin]的文章
[Gao L(高雷)]的文章
百度学术
百度学术中相似的文章
[Wang H(王鹤)]的文章
[Liang, Hongbin]的文章
[Gao L(高雷)]的文章
必应学术
必应学术中相似的文章
[Wang H(王鹤)]的文章
[Liang, Hongbin]的文章
[Gao L(高雷)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Using an Improved Artificial Bee Colony Algorithm for Parameter Estimation of a Dynamic Grain Flow Model.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。