GPS Height Fitting Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Xuezhi Yue and Zhijian Wu and Dazhi Jiang and 
                 Kangshun Li",
  title =        "GPS Height Fitting Using Gene Expression Programming",
  booktitle =    "Proceedings 5th International Symposium on Advances in
                 Computation and Intelligence, ISICA 2010",
  year =         "2010",
  editor =       "Zhihua Cai and Chengyu Hu and Zhuo Kang and Yong Liu",
  volume =       "6382",
  series =       "Lecture Notes in Computer Science",
  pages =        "25--32",
  address =      "Wuhan, China",
  month =        oct # " 22-24",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, GPS height fitting, conicoid
                 function fitting, polyhedral function fitting",
  isbn13 =       "978-3-642-16492-7",
  DOI =          "doi:10.1007/978-3-642-16493-4_3",
  size =         "8 pages",
  abstract =     "In Global Position System (GPS) height fitting
                 methods, the traditional mathematical model fittings
                 are more stable and general, but the fitting accuracy
                 is usually not intended because of the error of model
                 itself. Gene Expression Programming (GEP) as a kind of
                 newly invented Genotype/phenotype based genetic
                 algorithm can conquer the problem effectively. A GPS
                 height fitting method based on GEP is given in this
                 paper. By experiments and making the analysis and
                 comparison with conicoid function and polyhedral
                 function fitting methods, the results indicate that the
                 GPS height fitting method based on GEP is effective and
                 has better accuracy than traditional mathematical model
                 methods to some extent.",
  affiliation =  "State Key Laboratory of Software Engineering, Wuhan
                 University, Wuhan, 430072",

Genetic Programming entries for Xuezhi Yue Zhijian Wu Dazhi Jiang Kangshun Li