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Author:Hernandez-Lopez, M.
Caceres-Hernandez, J. J.
Title:Forecasting tourists' characteristics by a genetic algorithm with a transition matrix
Journal:Tourism Management
2007 : VOL. 28:1, p.290-297
Index terms:tourism
forecasting
algorithms
matrix analysis
Freeterms:tourist characteristics
transition matrix
Language:eng
Abstract:In mature tourism destinations, where the number of visiting tourists is relatively stable, besides forecasting the total number of tourists, of particular interest is the internal composition of the demand in terms of specific characteristics of the future groups. A forecast of this type can be achieved by a genetic algorithm (GA). In this paper, a GA with a transition probability matrix is developed and, as an illustration of the methodology, one run of such algorithm has achieved better forecasting performance than a simple GA.
SCIMA record nr: 264417
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