Genetic programming for the approximation of GPS GDOP

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Chih-Hung Wu and Ya-Wei Ho",
  title =        "Genetic programming for the approximation of GPS
  booktitle =    "2010 International Conference on Machine Learning and
                 Cybernetics (ICMLC)",
  year =         "2010",
  month =        "11-14 " # jul,
  volume =       "6",
  pages =        "2944--2949",
  abstract =     "Geometric Dilution of Precision (GDOP) is an indicator
                 showing how well the constellation of GPS satellites in
                 the Global Positioning System (GPS) is organised
                 geometrically. The calculation of GDOP is a time-and
                 power-consuming task, where involves solving
                 measurement equations with complicated matrix
                 transformation and inversions. Previous studies have
                 partially solved this problem with the techniques of
                 numeric regression. This study employs genetic
                 programming (GP) as a means for the approximation of
                 GPS GDOP. Unlike previous approaches, GP considers not
                 only the regression accuracy but also the the
                 expressivity of the regression functions. With such
                 regression functions, advanced studies for improving
                 the GPS positioning accuracy can be conducted. The use
                 of GP and associated experimental results are presented
                 and discussed.",
  keywords =     "genetic algorithms, genetic programming, GDOP, GPS
                 satellites, geometric dilution of precision, global
                 positioning system, matrix inversions, matrix
                 transformation, Global Positioning System, matrix
  DOI =          "doi:10.1109/ICMLC.2010.5580757",
  notes =        "Also known as \cite{5580757}",

Genetic Programming entries for Chih-Hung Wu Ya-Wei Ho