Forecasting tourist arrivals to Balearic Islands using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Alvarez-Diaz:2009:IJCEE,
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title = "Forecasting tourist arrivals to {Balearic} {Islands}
using genetic programming",
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author = "Marcos Alvarez-Diaz and Josep Mateu-Sbert and
Jaume Rossello-Nadal",
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year = "2009",
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volume = "1",
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journal = "International Journal of Computational Economics and
Econometrics",
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number = "1",
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pages = "64--75",
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month = nov # "~06",
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keywords = "genetic algorithms, genetic programming, tourism
forecasting, Diebold-Mariano test, tourist arrivals,
Balearic Islands, UK, United Kingdom, Germany, Spain",
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URL = "http://www.inderscience.com/link.php?id=29153",
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DOI = "doi:10.1504/IJCEE.2009.029153",
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publisher = "Inderscience Publishers",
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ISSN = "1757-1189",
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bibsource = "OAI-PMH server at www.inderscience.com",
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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