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Inverse integer programming

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Abstract

We consider the integer programming version of inverse optimization. Using superadditive duality, we provide a polyhedral description of the set of inverse-feasible objectives. We then describe two algorithmic approaches for solving the inverse integer programming problem.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Pittsburgh, 3700 OHara Street, 1048 Benedum Hall, Pittsburgh, PA, 15261, USA

    Andrew J. Schaefer

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  1. Andrew J. Schaefer
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Correspondence to Andrew J. Schaefer.

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Schaefer, A.J. Inverse integer programming. Optim Lett 3, 483–489 (2009). https://doi.org/10.1007/s11590-009-0131-z

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  • DOI: https://doi.org/10.1007/s11590-009-0131-z

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