Solving the bilevel facility location problem under preferences by a stackelberg-evolutionary algorithm

This research highlights the use of game theory to solve the classical problem of the uncapacitated facility location optimization model with customer order preferences through a bilevel approach. The bilevel model provided herein consists of the classical facility location problem and an optimizati...

Descripción completa

Detalles Bibliográficos
Autores principales: Camacho Vallejo, José Fernando, Cordero Franco, Álvaro Eduardo, González Ramírez, Rosa G.
Formato: Artículo
Lenguaje:inglés
Publicado: 2014
Acceso en línea:http://eprints.uanl.mx/15210/1/305.pdf
Descripción
Sumario:This research highlights the use of game theory to solve the classical problem of the uncapacitated facility location optimization model with customer order preferences through a bilevel approach. The bilevel model provided herein consists of the classical facility location problem and an optimization of the customer preferences, which are the upper and lower level problems, respectively. Also, two reformulations of the bilevel model are presented, reducing it into a mixed-integer single-level problem. An evolutionary algorithm based on the equilibrium in a Stackelberg’s game is proposed to solve the bilevel model. Numerical experimentation is performed in this study and the results are compared to benchmarks from the existing literature on the subject in order to emphasize the benefits of the proposed approach in terms of solution quality and estimation time.