Optimization of terrestrial distribution routes for mass consumption products using genetic algorithm

Authors

  • Víctor Hugo Bustos-Rivera Universidad Politécnica Metropolitana de Hidalgo, México.
  • Myrna Hortencia Lezama León Universidad Politécnica Metropolitana de Hidalgo, México.
  • Hector Armando Figueroa-Urrea Universidad Politécnica Metropolitana de Hidalgo, México. https://orcid.org/0000-0001-6240-0470
  • Eduardo Cruz-Aldana Universidad Politécnica Metropolitana de Hidalgo, México. https://orcid.org/0000-0003-1643-253X

Keywords:

VRP, optimization, land routes, metaheuristics

Abstract

This research aims to show the results of applying optimization in the distribution network of high consumption products, using metaheuristics for the design of distribution routes, applying genetic algorithms, performing the simulation in the HeuristicLab software. Achieving the optimization of the distribution processes of high consumption products which has grown in recent years to the increase of the population and the increase of the vehicular congestion, in the big cities, hindering the achievement of common objectives between the different actors in Urban Distribution of Merchandise (DUM).

The research was quantitative cross-sectional non-experimental, because the situations and subjects of study, could not be manipulated by the researcher, the information was provided by the company, which, for reasons of confidentiality, will not be named.

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Published

2023-06-07

How to Cite

Bustos-Rivera, V. H., Lezama León, M. H., Figueroa-Urrea, H. A., & Cruz-Aldana, E. (2023). Optimization of terrestrial distribution routes for mass consumption products using genetic algorithm . International Journal of Combinatorial Optimization Problems and Informatics, 14(2), 35–42. Retrieved from https://ijcopi.org/ojs/article/view/353

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Articles