Future tourists' characteristics and decisions: the use of genetic algorithms

Montserrat Hernández López ^[1]
1. [1] Universidad de La Laguna
  
  Universidad de La Laguna
  
  San Cristóbal de La Laguna, España
Localización: Tourism economics: the business and finance of tourism and recreation, ISSN 1354-8166, Vol. 10, Nº 3, 2004, págs. 245-262
Idioma: inglés
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Resumen
- This paper applies genetic algorithms to tourism forecasting. To date, genetic algorithms have normally been used as an optimization method. Their application to forecasting with real-world data has not been studied extensively. The paper illustrates how genetic algorithms can be used for this purpose and the new kind of forecast that is obtained. Specifically, the algorithms are applied to a real tourist population, and the characteristics and decisions of each future tourist are forecast. The results suggest that tourism forecasting based on genetic algorithms could reduce the risk of decision making in tourism planning.