Forecasting tourist arrivals to Balearic Islands using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Alvarez-Diaz:2009:IJCEE,
  title =        "Forecasting tourist arrivals to {Balearic} {Islands}
                 using genetic programming",
  author =       "Marcos Alvarez-Diaz and Josep Mateu-Sbert and 
                 Jaume Rossello-Nadal",
  year =         "2009",
  volume =       "1",
  journal =      "International Journal of Computational Economics and
                 Econometrics",
  number =       "1",
  pages =        "64--75",
  month =        nov # "~06",
  keywords =     "genetic algorithms, genetic programming, tourism
                 forecasting, Diebold-Mariano test, tourist arrivals,
                 Balearic Islands, UK, United Kingdom, Germany, Spain",
  URL =          "http://www.inderscience.com/link.php?id=29153",
  DOI =          "doi:10.1504/IJCEE.2009.029153",
  publisher =    "Inderscience Publishers",
  ISSN =         "1757-1189",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  abstract =     "Traditionally, univariate time-series models have
                 largely dominated forecasting for international tourism
                 demand. In this paper, the ability of a genetic program
                 (GP) to predict monthly tourist arrivals from UK and
                 Germany to Balearic Islands, Spain is explored. GP has
                 already been employed satisfactorily in different
                 scientific areas, including economics. The technique
                 shows different advantages regarding to other
                 forecasting methods. Firstly, it does not assume a
                 priori a rigid functional form of the model. Secondly,
                 it is more robust and easy-to-use than other
                 non-parametric methods. Finally, it provides explicitly
                 a mathematical equation which allows a simple ad hoc
                 interpretation of the results. Comparing the
                 performance of the proposed technique against other
                 method commonly used in tourism forecasting (no-change
                 model, moving average and ARIMA), the empirical results
                 reveal that GP can be a valuable tool in this field.",
}

Genetic Programming entries for Marcos Alvarez-Diaz Josep Mateu-Sbert Jaume Rossello-Nadal

Citations