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Intelligent System for Tourist Guidance in Tumbes-Perú

  • Raúl A. Sánchez-Ancajima
  • , Miguel Jiménez-Carrión
  • , Flabio Gutiérrez
  • , Adriel O.Hermenegildo Alfaro
  • , Edwar Lujan-Segura
  • , Jordan A. García Blas
  • Universidad Nacional de Piura
  • Universidad Nacional de Tumbes
  • Universidad Nacional de Trujillo

Research output: Contribution to journalArticlepeer-review

9 Scopus 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.

Original languageEnglish
Pages (from-to)325-353
Number of pages29
JournalJournal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
Volume15
Issue number3
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© 2024, Innovative Information Science and Technology Research Group. All rights reserved.

Keywords

  • Genetic Algorithm
  • Intelligent System
  • Tourism
  • Vehicle Routing

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