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Cooperative artificial bee colony algorithm for multi-objective RFID network planning
Ma LB(马连博); Hu KY(胡琨元); Zhu YL(朱云龙); Chen HN(陈瀚宁)
Department信息服务与智能控制技术研究室
Source PublicationJournal of Network and Computer Applications
ISSN1084-8045
2014
Volume42Pages:143–162
Indexed BySCI ; EI
EI Accession number20142317784294
WOS IDWOS:000337996800014
Contribution Rank1
KeywordAlgorithms Artificial Intelligence Computational Complexity Optimization
AbstractRadio frequency identification (RFID) is rapidly growing into an important technology for object identification and tracking applications. This gives rise to the most challenging RFID network planning (RNP) problem in the large-scale RFID deployment environment. RNP has been proven to be an NP-hard problem that involves many objectives and constraints. The application of evolutionary and swarm intelligence algorithms for solving multi-objective RNP (MORNP) has gained significant attention in the literature, while these proposed methods always transform multi-objective RNP into single-objective problem by the weighted coefficient approach. In this work, we propose a cooperative multi-objective artificial colony algorithm called CMOABC to find all the Pareto optimal solutions and to achieve the optimal planning solutions by simultaneously optimizing four conflicting objectives in MORNP. The experiment presents an exhaustive comparison of the proposed CMOABC and two successful multi-objective techniques, namely the recently developed multi-objective artificial bee colony algorithm (MOABC) and nondominated sorting genetic algorithm II (NSGA-II), on instances of different nature, namely the two-objective and three-objective MORNP in the large-scale RFID scenario. Simulation results show that CMOABC proves to be superior for planning RFID networks compared to NSGA-II and MOABC in terms of optimization accuracy and computation robustness.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Computer Science, Software Engineering
WOS KeywordPARTICLE SWARM OPTIMIZATION ; GLOBAL OPTIMIZATION ; POWER-FLOW
WOS Research AreaComputer Science
Citation statistics
Cited Times:43[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14742
Collection信息服务与智能控制技术研究室
Corresponding AuthorChen HN(陈瀚宁)
Affiliation1.Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Ma LB,Hu KY,Zhu YL,et al. Cooperative artificial bee colony algorithm for multi-objective RFID network planning[J]. Journal of Network and Computer Applications,2014,42:143–162.
APA Ma LB,Hu KY,Zhu YL,&Chen HN.(2014).Cooperative artificial bee colony algorithm for multi-objective RFID network planning.Journal of Network and Computer Applications,42,143–162.
MLA Ma LB,et al."Cooperative artificial bee colony algorithm for multi-objective RFID network planning".Journal of Network and Computer Applications 42(2014):143–162.
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