A GP-MOEA/D approach for modelling total electron content over Cyprus

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Andreas Konstantinidis and Haris Haralambous and 
                 Alexandros Agapitos and Harris Papadopoulos",
  title =        "A GP-MOEA/D approach for modelling total electron
                 content over Cyprus",
  journal =      "International Journal of Engineering Intelligent
  year =         "2010",
  volume =       "18",
  number =       "3/4",
  pages =        "193--203",
  month =        sep # "/" # dec,
  note =         "Special issue Artificial Intelligence Applications and
                 Innovations 2010 Lazaros Iliadis, Andreas Andreou and
                 Harris Papadopoulos",
  email =        "eis@crlpublishing.co.uk admin@crlpublishing.co.uk",
  publisher =    "CRL 9 Priory Business Park, Wistow Road, Kibworth
                 Beauchamp, Leicester, LE8 0RX | Tel: +44 116 279 2299 |
                 Fax: +44 116 279 2277",
  keywords =     "genetic algorithms, genetic programming, time-series
                 prediction, multi-objective evolutionary algorithms",
  ISSN =         "1472-8915",
  URL =          "http://www.crlpublishing.co.uk/journal.asp?j=eis&s=Vol%2018%202010",
  URL =          "http://arxiv.org/abs/1111.5720",
  size =         "11 pages",
  abstract =     "Vertical Total Electron Content (vTEC) is an
                 ionospheric characteristic used to derive the signal
                 delay imposed by the ionosphere on near-vertical
                 trans-ionospheric links. The major aim of this paper is
                 to design a prediction model based on the main factors
                 that influence the variability of this parameter on a
                 diurnal, seasonal and long-term time-scale. The model
                 should be accurate and general (comprehensive) enough
                 for efficiently approximating the high variations of
                 vTEC. However, good approximation and generalisation
                 are conflicting objectives. For this reason a Genetic
                 Programming (GP) with Multi-objective Evolutionary
                 Algorithm based on Decomposition characteristics
                 (GP-MOEA/D) is designed and proposed for modelling vTEC
                 over Cyprus. Experimental results show that the
                 Multi-Objective GP-model, considering real vTEC
                 measurements obtained over a period of 11 years, has
                 produced a good approximation of the modelled parameter
                 and can be implemented as a local model to account for
                 the ionospheric imposed error in positioning.
                 Particularly, the GP-MOEA/D approach performs better
                 than a Single Objective Optimisation GP, a GP with
                 Non-dominated Sorting Genetic Algorithm-II (NSGA-II)
                 characteristics and the previously proposed Neural
                 Network-based approach in most cases.",
  notes =        "AIAI 2010 paper is \cite{Agapitos:2010:AIAI}.

                 Curtin University of Technology, Australia",

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