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Faísca, N.P., Dua, V., Rustem, B., Saraiva, P.M. and Pistikopoulos, E.N. (2007) Parametric Global Optimisation for Bilevel Programming. Journal of Global Optimization, 38, 609-623.
https://doi.org/10.1007/s10898-006-9100-6

has been cited by the following article:

• TITLE: A Lagrange Relaxation Based Approach to Solve a Discrete-Continous Bi-Level Model

  AUTHORS: Zaida E. Alarcón-Bernal, Ricardo Aceves-García

  KEYWORDS: Bi-Level Programming, Lagrange Relaxation, Discrete-Continous Linear Bilevel

  JOURNAL NAME: Open Journal of Optimization, Vol.8 No.3, September 25, 2019

  ABSTRACT: In this work we propose a solution method based on Lagrange relaxation for discrete-continuous bi-level problems, with binary variables in the leading problem, considering the optimistic approach in bi-level programming. For the application of the method, the two-level problem is reformulated using the Karush-Kuhn-Tucker conditions. The resulting model is linearized taking advantage of the structure of the leading problem. Using a Lagrange relaxation algorithm, it is possible to find a global solution efficiently. The algorithm was tested to show how it performs.