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Solving Bilevel Mixed Integer Program by Reformulations and Decomposition

Bo Zeng(bzeng***at***usf.edu)
Yu An(yan2***at***mail.usf.edu)

Abstract: In this paper, we study bilevel mixed integer programming (MIP) problem and present a novel computing scheme based on reformulations and decomposition strategy. By converting bilevel MIP into a constrained mathematical program, we present its single-level reformulations that are friendly to perform analysis and build insights. Then, we develop a decomposition algorithm based on column-and-constraint generation method, which converges to the optimal value within nite operations. A preliminary computational study on randomly generated instances is presented, which demonstrates that the developed computing scheme has a superior capacity over existing methods. As it is generally applicable, easy-to-use and computationally strong, we believe that this solution method makes an important progress in solving challenging bilevel MIP problem.

Keywords: bilevel optimization, mixed integer programming, reformulation, decomposition algorithm

Category 1: Integer Programming ((Mixed) Integer Linear Programming )

Category 2: Complementarity and Variational Inequalities

Citation:

Download: [PDF]

Entry Submitted: 07/22/2014
Entry Accepted: 07/22/2014
Entry Last Modified: 07/22/2014

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