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20192024
most citedDecomposable Formulation of Transmission Constraints for Decentralized Power Systems Optimization

5 citations · 12 across the 8 of their papers we have counts for

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math.OC2024

Approximating the Gomory Mixed-Integer Cut Closure Using Historical Data

Berkay Becu, Santanu S. Dey, Feng Qiu +1

Many operations related optimization problems involve repeatedly solving similar mixed integer linear programming (MILP) instances with the same constraint matrix but differing obj…

math.OC2022

Compressing Branch-and-Bound Trees

Gonzalo Muñoz, Joseph Paat, Álinson S. Xavier

A branch-and-bound (BB) tree certifies a dual bound on the value of an integer program. In this work, we introduce the tree compression problem (TCP): Given a BB tree T that certif…

math.OC2022★ 1 cited

Exploiting Instance and Variable Similarity to Improve Learning-Enhanced Branching

Xiaoyi Gu, Santanu S. Dey, Álinson S. Xavier +1

In many operational applications, it is necessary to routinely find, within a very limited time window, provably good solutions to challenging mixed-integer linear programming (MIL…

math.OC2020★ 5 cited

Decomposable Formulation of Transmission Constraints for Decentralized Power Systems Optimization

Alinson S. Xavier, Feng Qiu, Santanu S. Dey

One of the most complicating factors in decentralized optimization for power systems is the modeling of power flow equations. Existing formulations for DC power flows either have l…

math.OC2019★ 3 cited

Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems

Alinson S. Xavier, Feng Qiu, Shabbir Ahmed

Security-Constrained Unit Commitment (SCUC) is a fundamental problem in power systems and electricity markets. In practical settings, SCUC is repeatedly solved via Mixed-Integer Li…