Multi-objective Optimization of RFID Network Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Pan:2011:ITJ,

• author = "Weijie Pan and Shaobo Li and Qingsheng Xie and Guanci Yang",
• title = "Multi-objective Optimization of {RFID} Network Based on Genetic Programming",
• journal = "Information Technology Journal",
• year = "2011",
• volume = "10",
• number = "12",
• pages = "2427--2433",
• publisher = "Asian Network for Scientific Information",
• keywords = "genetic algorithms, genetic programming, RFID network, multi-objective optimisation, load balancing",
• ISSN = "18125638",
• URL = "http://docsdrive.com/pdfs/ansinet/itj/2011/2427-2433.pdf",
• DOI = "doi:10.3923/itj.2011.2427.2433",
• size = "7 pages",
• abstract = "With the widespread application of RFID tags, the layout of RFID readers under guaranteed the rate of coverage, RFID network load balance and communication quality which becomes a major focus of current research on RFID network. Present study analyses the characteristics of RFID network and the disadvantages of current optimisation methods on readers network, by establishing the mathematical optimisation model of RFID network, a kind of method that multi-objective optimisation of RFID network based on Genetic Programming is proposed and the evolutional topological operators, terminal set and fitness functions are designed. Finally, it realised the module of the multi-objective optimisation algorithm, the number of readers and the layout of readers automatic optimisation. The experimental results show that it has higher efficiency, faster convergence rate and good accuracy. It can keep well balance between topology and parameter search. This research has important reference value in the theory and practice.",
• bibsource = "OAI-PMH server at www.doaj.org",
• language = "eng",
• oai = "oai:doaj-articles:e86f6d80e8dd3e505e0bac5d38f46adb",

}

Genetic Programming entries for Weijie Pan Shaobo Li Qingsheng Xie Guanci Yang

Citations