Algoritmo GVNS Híbrido Aplicado ao Problema das p-Medianas Capacitado

Authors

  • Marcone Jamilson Freitas Souza Universidade Federal de Ouro Preto (UFOP)
  • Anderson Moreira Vasconcelos Centro Federal de Educação Tecnológica de Minas Gerais
  • SERGIO RICARDO DE SOUZA Centro Federal de Educação Tecnológica de Minas Gerais https://orcid.org/0000-0001-7831-6740

DOI:

https://doi.org/10.5540/tcam.2021.022.03.00453

Keywords:

Problema das p-Medianas Capacitado, General Variable Neighbourhood Search, GRASP, metaheurísticas

Abstract

O Problema das p-Medianas Capacitado (PMPC) consiste em localizar p depósitos em uma rede composta por n clientes e decidir qual depósito atenderá cada cliente, a fim de minimizar a soma de todas as distâncias de cada depósito para cada cliente, sujeito à restrições de capacidade do cluster. Neste trabalho, quatro variações da metaheurística General Variable Neighbourhood Search (GVNS) são implementadas para resolver o PMPC: GVNS com busca local Random Variable Neighbourhood Descent (G-RVND), GVNS com busca local Variable Neighborhood Descent (G-VND), GVNS com a solução inicial gerada durante a fase de construção do método Greedy Randomized Adaptive Search Procedure (GRASP) e busca local RVND (GG-RVND) e GVNS com a solução inicial gerada durante a fase de construção do método GRASP e busca local VND (GG-VND). Os resultados foram comparados com os melhores resultados da literatura e mostram que a variação GG-VND é, em parte, superior aos melhores resultados da literatura.

Downloads

Published

2021-09-02

How to Cite

Freitas Souza, M. J., Vasconcelos, A. M., & DE SOUZA, S. R. (2021). Algoritmo GVNS Híbrido Aplicado ao Problema das p-Medianas Capacitado. Trends in Computational and Applied Mathematics, 22(3), 453–473. https://doi.org/10.5540/tcam.2021.022.03.00453

Issue

Vol. 22 No. 3 (2021)

Section

Original Article

License

Authors who publish in this journal agree to the following terms: 

  1. Authors retain copyright and grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License that allows the sharing of the work with acknowledgment of authorship and initial publication in this journal.

  2. Authors are authorized to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (eg, publish in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal.
     

  3. Authors are allowed and encouraged to publish and distribute their work online (eg, in institutional repositories or on their personal page) at any point before or during the editorial process, as this can generate productive changes as well as increase impact and the citation of the published work (See The effect of open access).

  4. This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the
    author. This is in accordance with the BOAI definition of open access

 

Intellectual Property

All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License under attribution BY.