Title of article :
Resolution Method for Mixed Integer Linear Multiplicative-Linear Bilevel Problems Based on Decomposition Technique
Author/Authors :
Sadeghi, H. Department of Mathematics - Shahid Chamran University of Ahwaz, Ahwaz, Iran , Karimi, L. Department of Mathematics - Shahid Chamran University of Ahwaz, Ahwaz, Iran
Pages :
15
From page :
341
To page :
355
Abstract :
I In this paper, we propose an algorithm base on decomposition technique for solving the mixed integer linear multiplicative-linear bilevel problems. In fact, this algorithm is an application of the algorithm given by G. K. Saharidis et al for the case in which the first level objective function is linear multiplicative. We use properties of quasi-concave of bilevel programming problems and decompose the initial problem into two subproblems named RMP and SP. The lower and upper bound provided from the RMP and SP are updated in each iteration. The algorithm converges when the difference between the upper and lower bound is less than an arbitrary tolerance. In conclusion, some numerical examples are presented in order to show the efficiency of algorithm.
Keywords :
Bilevel programming , Mixed integer linear programming , Benders decomposition , Multiplicative programming , Karush-Kuhn-Tucker optimality conditions
Journal title :
Astroparticle Physics
Serial Year :
2014
Record number :
2437750
Link To Document :
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