SIA OpenIR  > 信息服务与智能控制技术研究室
Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches
Chen HN(陈瀚宁); Zhu YL(朱云龙); Ma LB(马连博); Niu B(牛奔)
作者部门信息服务与智能控制技术研究室
关键词Algorithm
发表期刊MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN1024-123X
2014
页码1-13
收录类别SCI ; EI
EI收录号20141817684418
WOS记录号WOS:000334248900001
产权排序1
资助机构National Natural Science Foundation of China [61105067, 71001072, 61174164, 71271140, 51205389, 61203161]
摘要The development of radio frequency identification (RFID) technology generates the most challenging RFID network planning (RNP) problem, which needs to be solved in order to operate the large-scale RFID network in an optimal fashion. RNP involves many objectives and constraints and has been proven to be a NP-hard multi-objective problem. The application of evolutionary algorithm (EA) and swarm intelligence (SI) for solving multiobjective RNP (MORNP) has gained significant attention in the literature, but these algorithms always transform multiple objectives into a single objective by weighted coefficient approach. In this paper, we use multiobjective EA and SI algorithms to find all the Pareto optimal solutions and to achieve the optimal planning solutions by simultaneously optimizing four conflicting objectives in MORNP, instead of transforming multiobjective functions into a single objective function. The experiment presents an exhaustive comparison of three successful multiobjective EA and SI, namely, the recently developed multiobjective artificial bee colony algorithm (MOABC), the nondominated sorting genetic algorithm II (NSGA-II), and the multiobjective particle swarm optimization (MOPSO), on MORNP instances of different nature, namely, the two-objective and three-objective MORNP. Simulation results show that MOABC proves to be more superior for planning RFID networks than NSGA-II and MOPSO in terms of optimization accuracy and computation robustness.
语种英语
WOS标题词Science & Technology ; Technology ; Physical Sciences
WOS类目Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]ALGORITHM
WOS研究方向Engineering ; Mathematics
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/14772
专题信息服务与智能控制技术研究室
通讯作者Ma LB(马连博); Niu B(牛奔)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.College of Management, Shenzhen University, Shenzhen 518060, China
推荐引用方式
GB/T 7714
Chen HN,Zhu YL,Ma LB,et al. Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2014:1-13.
APA Chen HN,Zhu YL,Ma LB,&Niu B.(2014).Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches.MATHEMATICAL PROBLEMS IN ENGINEERING,1-13.
MLA Chen HN,et al."Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches".MATHEMATICAL PROBLEMS IN ENGINEERING (2014):1-13.
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
Multiobjective RFID (4537KB)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
[Chen HN(陈瀚宁)]的文章
[Zhu YL(朱云龙)]的文章
[Ma LB(马连博)]的文章
百度学术
百度学术中相似的文章
[Chen HN(陈瀚宁)]的文章
[Zhu YL(朱云龙)]的文章
[Ma LB(马连博)]的文章
必应学术
必应学术中相似的文章
[Chen HN(陈瀚宁)]的文章
[Zhu YL(朱云龙)]的文章
[Ma LB(马连博)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches.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。