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arXiv · 2410.21467

Generator Subadditive Functions for Mixed-Integer Programs

Gustavo Ivan Angulo Olivares·Burak Kocuk·Diego Moran Ramirez
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Abstract

For equality-constrained linear mixed-integer programs (MIP) defined by rational data, it is known that the subadditive dual is a strong dual and that there exists an optimal solution of a particular form, termed generator subadditive function. Motivated by these results, we explore the connection between Lagrangian duality, subadditive duality and generator subadditive functions for general equality-constrained MIPs where the vector of variables is constrained to be in a monoid. We show that strong duality holds via generator subadditive functions under certain conditions. For the case when the monoid is defined by the set of all mixed-integer points contained in a convex cone, we show that strong duality holds under milder conditions and over a more restrictive set of dual functions. Finally, we provide some examples of applications of our results.

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Gustavo Ivan Angulo Olivares, Burak Kocuk, Diego Moran Ramirez. 2024-10-28. Generator Subadditive Functions for Mixed-Integer Programs. https://arxiv.org/abs/2410.21467

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