Future Tourists' Characteristics and Decisions: The Use of Genetic Algorithms as a Forecasting Method

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 purpo...

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Bibliographic Details
Published inTourism economics : the business and finance of tourism and recreation Vol. 10; no. 3; pp. 245 - 262
Main Author Hernández-López, Montserrat
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.09.2004
Sage Publications Ltd
Subjects
Economic forecasts
Economic theory
Evaluation
Forecasting
Forecasts
Genetic algorithms
Leisure economics
Methodology
Studies
Tourism
tourist characteristics
forecasting
genetic algorithms
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1354-8166
2044-0375
DOI:10.5367/0000000041895058