Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model

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	Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model
	Jing, Shikai; Lian, Xiaodan; Chen HN(陈瀚宁); Zou T(邹涛); Ma LB(马连博)
刊名	Soft Computing
	2016
页码	1-29
关键词	RFID network planning Hybrid artificial bee colony Life-cycle Varying-population Distributed decision making
ISSN号	1432-7643
通讯作者	陈瀚宁 ; 邹涛 ; 马连博
产权排序	3
中文摘要	Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be a NP-hard issue, which can be formulated as a high-dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. First, a two-level optimization model for RFID network planning based on distributed decision making (DDM) is presented in this paper. In this model, the mixed discrete and continuous planning variables, namely the number, location, and radiate power of RFID readers are optimized. In each level of the optimization model, the different objectives to determine optimal values for these planning variables are as follows: (i) minimization of total installation cost of RFID network in the top-level; (ii) maximization of tag coverage and network reliability, and minimization of reader interference in the lower-level. In order to solve the proposed model effectively, this work proposes an efficient approach for RNP problem, namely the hybrid artificial bee colony optimizer (HABC), which employs the natural life-cycle mechanism to cast the original ABC framework to a cooperative and population varying fashion. In the proposed HABC, individuals can dynamically shift their survival states and population size varies dynamically according to the local fitness landscape during the executions of algorithm. These new characteristics of HABC help to avoid redundant search and maintain diversity of population in complex environments. Experiments are conducted on a set of CEC2005 and discrete benchmarks for evaluating the proposed algorithm. Then HABC is used for solving the real-world RNP problem on two instances with different scales. Simulation results show that the proposed algorithm outperforms the reference algorithms for planning RFID networks, in terms of optimization accuracy and computation robustness.
收录类别	EI
语种	英语
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/17704]
专题	沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式 GB/T 7714	Jing, Shikai,Lian, Xiaodan,Chen HN,et al. Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model[J]. Soft Computing,2016:1-29.
APA	Jing, Shikai,Lian, Xiaodan,Chen HN,Zou T,&Ma LB.(2016).Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model.Soft Computing,1-29.
MLA	Jing, Shikai,et al."Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model".Soft Computing (2016):1-29.