Gene expression programming based matching suitability analysis in geomagnetic aided navigation

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

@InProceedings{conf/icnc/Wang0WMD13,

• author = "Peng Wang and Xiaoping Hu and Meiping Wu and Hua Mu and Lei Deng",
• title = "Gene expression programming based matching suitability analysis in geomagnetic aided navigation",
• booktitle = "ICNC",
• year = "2013",
• publisher = "IEEE",
• pages = "718--722",
• address = "Shenyang, China",
• month = "23-25 " # jul,
• keywords = "genetic algorithms, genetic programming, gene expression programming, matching suitability, geomagnetic aided navigation, feature synthesis",
• isbn13 = "978-1-4673-4714-3",
• bibdate = "2014-05-21",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icnc/icnc2013.html#Wang0WMD13",
• URL = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6811386",
• DOI = "doi:10.1109/ICNC.2013.6818069",
• size = "5 pages",
• 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.",
• 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