Autor según el artículo: Orama, Jonathan Ayebakuro; Moreno, Antonio; Borras, Joan
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Borràs Nogués, Joan / Moreno Ribas, Antonio / Orama, Ayebakuro Jonathan
Resumen: It is a known fact that the order in which touristic activities are experienced plays a role in how enjoyable they are. This is the reason why tourists prefer to book carefully prepared day tours on arrival to a new destination, as they allow them to see the essence of the destination while traversing scenic routes. Tours are great, but they are expensive, do not allow room for personal exploration, and are built as a one-size-fits-all which does not consider the individual preferences of the tourist. In contrast, it is possible to make an optimal selection and ordering of touristic activities from a larger set of possibilities that match a tourist’s personal preferences, balancing important aspects like diversity, spatial proximity, or degree of interest on popular places. We propose a multi-objective genetic algorithm that uses a weighted averaging operator to balance four diverse objective functions crafted to maintain diversity, proximity, interest on popularity, and cultural preference. The system has been evaluated against four baseline algorithms and found to perform significantly better for the specified purpose.
Áreas temáticas: Medicina ii Interdisciplinar Información y documentación General o multidisciplinar Engenharias iv Engenharias iii Comunicació i informació Ciências agrárias i Artificial intelligence
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: antonio.moreno@urv.cat ayebakurojonathan.orama@estudiants.urv.cat
Identificador del autor: 0000-0003-3945-2314 0000-0002-2622-3224
Fecha de alta del registro: 2024-03-01
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://ebooks.iospress.nl/volumearticle/61213
Referencia al articulo segun fuente origial: Frontiers In Artificial Intelligence And Applications. 365 9-12
Referencia de l'ítem segons les normes APA: Orama, Jonathan Ayebakuro; Moreno, Antonio; Borras, Joan (2022). Multi Objective Genetic Algorithm for Optimal Route Selection from a Set of Recommended Touristic Activities. Frontiers In Artificial Intelligence And Applications, 365(), 9-12. DOI: 10.3233/faia220307
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.3233/faia220307
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV