Multi Attributes approach for tourist trips design
Author(s)
Date Issued
2016
Type
conferenceObject
Volume
1772
Start Page
34
End Page
41
Abstract
The authors propose a Multi Attributes approach to meet the demand of personalized tourist tours into cultural cities. Respecting to others works present into the literature, in this paper the decisional process includes two phases and a high number of variables that don't increase the complexity of the problem. A real application in an Italian city, Florence, is presented to demonstrate the great potential of this system into real context. The first phase of optimization is solved applying an innovative Genetic Algorithm, the second one a Multi Criteria Method, Analytic Hierarchy Process (AHP). The combination of these two approach gives flexibility to the system with respect to number of variables and allow to return a good solution for tourist in few second of computational time.
Conference(s)
10th International Workshop on Artificial Intelligence for Cultural Heritage, AI*CH 2016