TY - JOUR
T1 - Intelligent System for Tourist Guidance in Tumbes-Perú
AU - Sánchez-Ancajima, Raúl A.
AU - Jiménez-Carrión, Miguel
AU - Gutiérrez, Flabio
AU - Alfaro, Adriel O.Hermenegildo
AU - Lujan-Segura, Edwar
AU - García Blas, Jordan A.
N1 - Publisher Copyright:
© 2024, Innovative Information Science and Technology Research Group. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Genetic Algorithm
KW - Intelligent System
KW - Tourism
KW - Vehicle Routing
UR - http://www.scopus.com/inward/record.url?scp=85207036551&partnerID=8YFLogxK
U2 - 10.58346/JOWUA.2024.I3.022
DO - 10.58346/JOWUA.2024.I3.022
M3 - Article
AN - SCOPUS:85207036551
SN - 2093-5374
VL - 15
SP - 325
EP - 353
JO - Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
JF - Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
IS - 3
ER -