Por favor, use este identificador para citar o enlazar este ítem:
https://doi.org/10.1007/s00500-020-05106-0
Twittear
| Título: | Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations |
| Fecha de publicación: | 2020 |
| Editorial: | SPRINGER |
| Cita bibliográfica: | Soft Computing 24 (2020) 17705–17713 |
| ISSN: | 1432-7642 1433-7479 |
| Materias relacionadas: | CDU::5 - Ciencias puras y naturales::51 - Matemáticas |
| Palabras clave: | Asymmetric facility location Binary choice rule Combinatorial optimization Random search Population-based heuristic algorithms |
| Resumen: | We address a discrete competitive facility location problem with an asymmetric objective function and a binary customer choice rule. Both an integer linear programming formulation and a heuristic optimization algorithm based on ranking of candidate locations are designed to solve the problem. The proposed population-based heuristic algorithm is specially adapted for the discrete facility location problems by using their features such as geographical distances and the maximal possible utility of candidate locations, which can be evaluated in advance. The performance of the proposed algorithm was experimentally investigated by solving different instances of the model with real data of municipalities in Spain. |
| Autor/es principal/es: | Lancinskas, Algirdas Zilinskas, Julius Fernández Hernández, Pascual Pelegrín Pelegrín, Blas |
| Facultad/Departamentos/Servicios: | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Estadística e Investigación Operativa |
| Versión del editor: | https://link.springer.com/article/10.1007/s00500-020-05106-0 |
| URI: | http://hdl.handle.net/10201/137839 |
| DOI: | https://doi.org/10.1007/s00500-020-05106-0 |
| Tipo de documento: | info:eu-repo/semantics/article |
| Número páginas / Extensión: | 10 |
| Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
| Descripción: | ©2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Accepted, version of a Published Work that appeared in final form in Soft Computing. To access the final edited and published work see https://doi.org/10.1007/s00500-020-05106-0 |
| Aparece en las colecciones: | Artículos: Estadística e Investigación Operativa |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| paper_SoftComp.pdf | 278,1 kB | Adobe PDF |  Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons
