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Cutting plane algorithms for the inverse mixed integer linear programming problem
Authors:Lizhi Wang
Affiliation:Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA
Abstract:
We present cutting plane algorithms for the inverse mixed integer linear programming problem (InvMILP), which is to minimally perturb the objective function of a mixed integer linear program in order to make a given feasible solution optimal.
Keywords:Inverse optimization   Mixed integer linear programming
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