Gene expression programming based matching suitability analysis in geomagnetic aided navigation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{conf/icnc/Wang0WMD13,
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author = "Peng Wang and Xiaoping Hu and Meiping Wu and
Hua Mu and Lei Deng",
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title = "Gene expression programming based matching suitability
analysis in geomagnetic aided navigation",
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booktitle = "ICNC",
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year = "2013",
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publisher = "IEEE",
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pages = "718--722",
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address = "Shenyang, China",
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month = "23-25 " # jul,
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keywords = "genetic algorithms, genetic programming, gene
expression programming, matching suitability,
geomagnetic aided navigation, feature synthesis",
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isbn13 = "978-1-4673-4714-3",
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bibdate = "2014-05-21",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/icnc/icnc2013.html#Wang0WMD13",
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URL = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6811386",
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DOI = "doi:10.1109/ICNC.2013.6818069",
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size = "5 pages",
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abstract = "In geomagnetic aided navigation (GAN), matching
suitability denotes the navigability of candidate
matching areas (CMAs) and can be characterized by the
suitable-matching features extracted from geomagnetic
map. However, the consistency between the single
suitable-matching feature and matching probability is
not satisfactory. Therefore the suitable-matching
features are considered to be synthesised in order to
analyze the matching suitability more effectively. gene
expression programming (GEP) is used for feature
synthesis, and correlation coefficient is treated as
the fitness function. Experimental results show that
the evolutionary synthetical feature is effective and
owns more excellent performance than the single
suitable-matching feature. The conclusions of this
article can be used for selecting suitable-matching
areas and further afford guidance for trajectory
planning.",
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notes = "College of Mechatronic Engineering and Automation,
National University of Defense Technology, Changsha,
China",
- }
Genetic Programming entries for
Peng Wang
Xiaoping Hu
Meiping Wu
Hua Mu
Lei Deng
Citations