Intelligent System for Tourist Guidance in Tumbes-Perú

An Intelligent System (IS) for Tourist Guidance was developed for the city of Tumbes, Peru. Considering the preferences of the tourist, the IS obtains the optimal route for the visit and provides a visit plan with schedules and times of stay in each place. It is an innovative hybrid system since it is complemented by two artificial intelligence techniques, a rule-based expert system and a genetic algorithm. The methodology for the implementation of the IS consisted of the collection of tourist, geographic, georeferenced information and photographs of 28 tourist places, grouped into Beaches, Nature, Adventure, Culture and Medicinal Sites, then the logical rules, the distance matrix and time of stay in each place were developed, and finally with the vehicle routing technique the genetic algorithm is implemented that allows obtaining the optimal route. The results indicate that the GA provides optimal solutions with an execution time of 5.6 seconds and zero errors. This contribution is very important for future work on tourist profiles and new tourist routes, since the intelligent system can be adapted for use in other cities.

Authors

Publication Details

Journal
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
Published
2024-09-30
DOI
https://doi.org/10.58346/jowua.2024.i3.022
Citations
5
Primary Topic
Business, Innovation, and Economy
Type
article
Field-Weighted Citation Impact
5.65
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article

Intelligent System for Tourist Guidance in Tumbes-Perú

Flabio Gutiérrez, Raúl A. Sánchez-Ancajima, Miguel Jiménez-Carrión, Adriel O. Hermenegildo Alfaro et al.
5 citations
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
Business, Innovation, and Economy
5.65
article

Intelligent System for Tourist Guidance in Tumbes-Perú

Flabio Gutiérrez, Raúl A. Sánchez-Ancajima, Miguel Jiménez-Carrión, Adriel O. Hermenegildo Alfaro, Edwar Lujan-Segura, Jordan A. García Blas
article en
5 citations

Abstract

An Intelligent System (IS) for Tourist Guidance was developed for the city of Tumbes, Peru. Considering the preferences of the tourist, the IS obtains the optimal route for the visit and provides a visit plan with schedules and times of stay in each place. It is an innovative hybrid system since it is complemented by two artificial intelligence techniques, a rule-based expert system and a genetic algorithm. The methodology for the implementation of the IS consisted of the collection of tourist, geographic, georeferenced information and photographs of 28 tourist places, grouped into Beaches, Nature, Adventure, Culture and Medicinal Sites, then the logical rules, the distance matrix and time of stay in each place were developed, and finally with the vehicle routing technique the genetic algorithm is implemented that allows obtaining the optimal route. The results indicate that the GA provides optimal solutions with an execution time of 5.6 seconds and zero errors. This contribution is very important for future work on tourist profiles and new tourist routes, since the intelligent system can be adapted for use in other cities.

Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable ApplicationsVol. 15(3)
Sustainable cities and communities
Openalex Percentile: Top 4%
Business, Innovation, and Economy
5.65
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Intelligent System for Tourist Guidance in Tumbes-Perú — Flabio Gutiérrez, Raúl A. Sánchez-Ancajima, et al. · Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2024) | TGRS Research Map | TGRS