Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/11000/34254

The discrete p-center location problem with upgrading


Vista previa

Ver/Abrir:
 2023 Anton-Sanchez-et-al-Omega.pdf

2,9 MB
Adobe PDF
Compartir:
Título :
The discrete p-center location problem with upgrading
Autor :
Anton-Sanchez, Laura  
Landete, Mercedes  
Saldanha-da-Gama, Francisco  
Editor :
Elsevier
Departamento:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Fecha de publicación:
2023
URI :
https://hdl.handle.net/11000/34254
Resumen :
In this paper, different upgrading strategies are investigated in the context of the p-center problem. The possibility of upgrading a set of connections to different centers is considered as well as the possibility of upgrading entire centers, i.e., all connections made to them. Two variants for these perspectives are ana- lyzed: in the first, there is a limit on the number of connections or centers that can be upgraded; in the second, an existing budget is assumed for the same purpose. Different mixed-integer linear programming models are introduced for those problems as well as data-driven lower and upper bounds. In most cases, an optimal solution can be obtained within an acceptable computing time using an off-the-shelf solver. Nevertheless, this is not the case for one particular family of problems. This motivated the development of a math-heuristic seeking high-quality feasible solutions in that specific case. Extensive computational experiments are reported highlighting the relevance of upgrading connections or centers in the context of the p-center problem.
Palabras clave/Materias:
Discrete facility location
p-center
Connection upgrading
Center upgrading
MILP models
Área de conocimiento :
CDU: Ciencias puras y naturales: Matemáticas
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1016/j.omega.2023.102894
Aparece en las colecciones:
Artículos Estadística, Matemáticas e Informática



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.