dc.contributor.author | Taquía Gutiérrez, José Antonio | |
dc.contributor.author | García López, Yván Jesús | |
dc.contributor.other | Taquía Gutiérrez, José Antonio | |
dc.contributor.other | García López, Yván Jesús | |
dc.date.accessioned | 2023-12-13T17:08:33Z | |
dc.date.available | 2023-12-13T17:08:33Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Taquía Gutiérrez, J. A., & García López, Y. (2023). Retail Distribution using Georeferenced Systems and Genetic Algorithms for Product Delivery. Case study. Journal of Engineering Science and Technology Review, 16(5). 19-24. https://doi.org/10.25103/jestr.165.03 | es_PE |
dc.identifier.issn | 1791-2377 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12724/19527 | |
dc.description.abstract | This paper presents the difference in the performance of the genetic algorithm and the nearest neighbor algorithm applied in a case study of a food distribution company in the city of Lima. A descriptive methodology was used to evaluate the impact on the number of distribution points and the delivery routing obtained. It was possible to show how the evolutionary technique and the nearest neighbor algorithm obtained equivalent results of 1760 on a scaled distance metric and a
processing time difference of 78 % between both methods | en_EN |
dc.format | application/html | |
dc.language.iso | eng | |
dc.publisher | International Hellenic University, School of Science | |
dc.relation.ispartof | urn:issn: 1791-2377 | |
dc.rights | info:eu-repo/semantics/openAccess | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.source | Repositorio Institucional. Ulima | |
dc.source | Universidad de Lima | |
dc.subject | Genetic algorithms | en_EN |
dc.subject | Physical distribution of goods | en_EN |
dc.subject | Food | en_EN |
dc.subject | Distribución comercial | es_PE |
dc.subject | Algoritmos genéticos | es_PE |
dc.subject | Logística empresarial | es_PE |
dc.subject | Alimentos | es_PE |
dc.subject | Lima (Perú) | es_PE |
dc.title | Retail Distribution using Georeferenced Systems and Genetic Algorithms for Product Delivery. Case study. | en_EN |
dc.type | info:eu-repo/semantics/article | |
dc.type.other | Artículo en Scopus | es_PE |
ulima.areas.lineasdeinvestigacion | Desarrollo empresarial / Operaciones y logística | es_PE |
dc.identifier.journal | Journal of Engineering Science and Technology Review | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.02.03 | |
dc.identifier.doi | https://doi.org/10.25103/jestr.165.03 | |
ulima.cat | 9 | |
ulima.autor.afiliacion | Taquía Gutiérrez, José Antonio (Universidad de Lima, Instituto de Investigación Científica) | |
ulima.autor.afiliacion | García López, Yván Jesús (Universidad de Lima) | |
ulima.autor.carrera | Taquía Gutiérrez, José Antonio (Ingeniería Industrial) | |
ulima.autor.carrera | García López, Yván Jesús (Ingeniería Industrial) | |
dc.identifier.isni | 121541816 | |
dc.identifier.scopusid | 2-s2.0-85177191660 | |