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TITLE:
Multi Objective Genetic Algorithm for Optimal Route Selection from a Set of Recommended Touristic Activities - imarina:9385667

URV's Author/s:Borràs Nogués, Joan / Moreno Ribas, Antonio / Orama, Ayebakuro Jonathan
Author, as appears in the article.:Orama, Jonathan Ayebakuro; Moreno, Antonio; Borras, Joan
Author's mail:antonio.moreno@urv.cat
ayebakurojonathan.orama@estudiants.urv.cat
Author identifier:0000-0003-3945-2314
0000-0002-2622-3224
Journal publication year:2022
Publication Type:info:eu-repo/semantics/article
APA:Orama, Jonathan Ayebakuro; Moreno, Antonio; Borras, Joan (2022). Multi Objective Genetic Algorithm for Optimal Route Selection from a Set of Recommended Touristic Activities. Amsterdam: IOS Press
Papper original source:Frontiers In Artificial Intelligence And Applications. 356 9-12
Abstract: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.
Article's DOI:10.3233/faia220307
Link to the original source:https://ebooks.iospress.nl/doi/10.3233/FAIA220307
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Informàtica i Matemàtiques
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Artificial intelligence
Ciências agrárias i
Comunicació i informació
Engenharias iii
Engenharias iv
General o multidisciplinar
Información y documentación
Interdisciplinar
Medicina ii
Keywords:Multi-objective genetic algorithm
Travel route optimization
Weighted average objective balancin
Weighted average objective balancing
Entity:Universitat Rovira i Virgili
Record's date:2024-10-12
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