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Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization
Ma LB(马连博); Chen HN(陈瀚宁); Hu KY(胡琨元); Zhu YL(朱云龙)
Department信息服务与智能控制技术研究室
Source PublicationSCIENTIFIC WORLD JOURNAL
ISSN1537-744X
2014
Indexed BySCI
WOS IDWOS:000330764600001
Contribution Rank1
Funding OrganizationNatural Science Foundation of China [61105067, 61174164]
AbstractThis paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization, called HABC, to tackle the radio frequency identification network planning (RNP) problem. In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level. In the bottom level, each subpopulation employing the canonical ABC method searches the part-dimensional optimum in parallel, which can be constructed into a complete solution for the upper level. At the same time, the comprehensive learning method with crossover and mutation operators is applied to enhance the global search ability between species. Experiments are conducted on a set of 10 benchmark optimization problems. The results demonstrate that the proposed HABC obtains remarkable performance on most chosen benchmark functions when compared to several successful swarm intelligence and evolutionary algorithms. Then HABC is used for solving the real-world RNP problem on two instances with different scales. Simulation results show that the proposed algorithm is superior for solving RNP, in terms of optimization accuracy and computation robustness.
Language英语
WOS HeadingsScience & Technology
WOS SubjectMultidisciplinary Sciences
WOS KeywordPARTICLE SWARM OPTIMIZATION ; COOPERATIVE COEVOLUTION ; SYSTEMS ; DEPLOYMENT
WOS Research AreaScience & Technology - Other Topics
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14672
Collection信息服务与智能控制技术研究室
Corresponding AuthorMa LB(马连博); Chen HN(陈瀚宁)
Affiliation1.Department of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Faculty Office VII, Nanta Street No. 114, Dongling District, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Ma LB,Chen HN,Hu KY,et al. Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization[J]. SCIENTIFIC WORLD JOURNAL,2014.
APA Ma LB,Chen HN,Hu KY,&Zhu YL.(2014).Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization.SCIENTIFIC WORLD JOURNAL.
MLA Ma LB,et al."Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization".SCIENTIFIC WORLD JOURNAL (2014).
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