PSO PSO, Herramienta de Optimización en el Área Turística

Víctor Quezada Aguilar; José Carlos Quezada Quezada; Myriam Coronado Meneses; Josefina Rodríguez Torres; Ernesto Flores García

doi:10.29057/est.v5i9.3883

Authors

Víctor Quezada Aguilar Autonomous University of Hidalgo State https://orcid.org/0000-0001-8806-7880
José Carlos Quezada Quezada
Myriam Coronado Meneses Autonomous University of Hidalgo State
Josefina Rodríguez Torres Autonomous University of Hidalgo State
Ernesto Flores García Autonomous University of Hidalgo State

DOI:

https://doi.org/10.29057/est.v5i9.3883

Keywords:

Optimization, PSO, Genetic Algorithm, Tourism Economy, Matlab.

Abstract

The administrative sciences present complex problems where specific tools are required to obtain feasible solutions guaranteeing the best or the best solutions. Optimization is one of the problems with greater frequency and that until a few years ago had been solved with traditional techniques, however these types of techniques are focused on optimizing a single objective. The technological advance has allowed the development of numerous optimization methods, reducing analysis time, optimizing more than one objective, obtaining a range of optimal solutions, among other characteristics. During the development of the article, the economic importance of the correct location of a distribution center (CEDIS) in a tourist region is exposed. The optimization of the objective function used in the location of the CEDIS is done by the PSO (Particle Swarm Optimization) method, considered a new generation optimization method.

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