Evolutionary Prediction of Total Electron Content over Cyprus

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Agapitos:2010:AIAI,
  author =       "Alexandros Agapitos and Andreas Konstantinidis and 
                 Haris Haralambous and Harris Papadopoulos",
  title =        "Evolutionary Prediction of Total Electron Content over
                 Cyprus",
  booktitle =    "6th IFIP Advances in Information and Communication
                 Technology AIAI 2010",
  year =         "2010",
  editor =       "Harris Papadopoulos and Andreas Andreou and 
                 Max Bramer",
  volume =       "339",
  series =       "IFIP Advances in Information and Communication
                 Technology",
  pages =        "387--394",
  address =      "Larnaca, Cyprus",
  month =        oct # " 6-7",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Algorithms, Global Positioning System, Total Electron
                 Content",
  DOI =          "doi:10.1007/978-3-642-16239-8_50",
  abstract =     "Total Electron Content (TEC) is an ionospheric
                 characteristic used to derive the signal delay imposed
                 by the ionosphere on trans-ionospheric links and
                 subsequently overwhelm its negative impact in accurate
                 position determination. In this paper, an Evolutionary
                 Algorithm (EA), and particularly a Genetic Programming
                 (GP) based model is designed. The proposed model is
                 based on the main factors that influence the
                 variability of the predicted parameter on a diurnal,
                 seasonal and long-term time-scale. Experimental results
                 show that the GP-model, which is based on TEC
                 measurements obtained over a period of 11 years, has
                 produced a good approximation of the modeled parameter
                 and can be implemented as a local model to account for
                 the ionospheric imposed error in positioning. The
                 GP-based approach performs better than the existing
                 Neural Network-based approach in several cases.",
  affiliation =  "School of Computer Science and Informatics, University
                 College Dublin, Dublin, Ireland",
  notes =        "http://www.cs.ucy.ac.cy/aiai2010/",
}

Genetic Programming entries for Alexandros Agapitos Andreas Constantinides Haris Haralambous Harris Papadopoulos

Citations