An efficient variable neighborhood search approach for the facility location problem with the limited choice rule
Resumen
Abstract One of the most common problems in the expansion of a company consists of deciding the most appropriate locations for their facilities. This decision problem, known as the facility location problem, has been studied from different perspectives, considering a number of different constraints. Among these different versions of the problem, the facility location problem with the limited choice rule considers both the cost of opening facilities and the benefit of attracting customers under a deterministic utility approach. In this work, we propose a metaheuristic approach based on variable neighborhood search to tackle this problem. Our proposal is able to obtain the best results in 296 of the 309 instances studied, compared to state-of-the-art algorithms. In addition, we propose an efficient local search that obtains a 91.5% average reduction in execution time compared to the version with the straightforward implementation. Therefore, this efficient proposal can be applied to larger instances that cannot be solved with previous approaches.
Enrique García Galán
Profesor asociado
Siempre aprendiendo, buscando el conocimiento para mejorar en todos los aspectos posibles. Trabajando en mi doctorado mientras trabajo en Telefónica.
Alberto Herrán González
Profesor Titular de Universidad
J. Manuel Colmenar
Catedrático de Universidad
Mis intereses de investigación se centran en las metaheurísticas aplicadas a problemas de optimización. He trabajado en diferentes problemas de optimización combinatoria aplicando algoritmos trajectoriales como GRASP o VNS. Además, estoy muy interesado en las aplicaciones de la Evolución Gramatical, específicamente en el dominio de los modelos y la predicción, como alternativa a los enfoques de aprendizaje automático.