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A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties

By Anirudh Subramanyam
This paper presents a new exact method to calculate worst-case parameter realizations in two-stage robust optimization problems with categorical or binary-valued uncertain data. Traditional exact algorithms for these problems, notably Benders decomposition and column-and-constraint generation, compute worst-case parameter realizations by solving mixed-integer bilinear optimization subproblems. However, their numerical solution can... Show more
January 15, 2022
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A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties
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