Multi-objective Optimization of RFID Network Based on Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Pan:2011:ITJ,
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author = "Weijie Pan and Shaobo Li and Qingsheng Xie and
Guanci Yang",
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title = "Multi-objective Optimization of {RFID} Network Based
on Genetic Programming",
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journal = "Information Technology Journal",
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year = "2011",
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volume = "10",
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number = "12",
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pages = "2427--2433",
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publisher = "Asian Network for Scientific Information",
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keywords = "genetic algorithms, genetic programming, RFID network,
multi-objective optimisation, load balancing",
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ISSN = "18125638",
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URL = "http://docsdrive.com/pdfs/ansinet/itj/2011/2427-2433.pdf",
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DOI = "doi:10.3923/itj.2011.2427.2433",
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size = "7 pages",
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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.",
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bibsource = "OAI-PMH server at www.doaj.org",
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language = "eng",
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oai = "oai:doaj-articles:e86f6d80e8dd3e505e0bac5d38f46adb",
- }
Genetic Programming entries for
Weijie Pan
Shaobo Li
Qingsheng Xie
Guanci Yang
Citations