activity
20242026
collaborators

7 papers

math.OC2026

Decomposing a Multi-Scale Optimization Framework for Grid-Integrated Electrolysis using Aggregate-Informed Benders

Kiernan X. Jennings, Victor M. Zavala, Styliani Avraamidou

Demand response (DR) operation of electrolysis devices is gaining traction to capitalize on volatile electricity markets, but their dynamic operation poses challenges to the durabi…

math.OC2026

A Multi-Scale Optimization Framework for Grid-Integrated Electrolysis

Kiernan X. Jennings, Victor M. Zavala, Styliani Avraamidou

The increasing penetration of wind and solar resources into the power grid motivates the integration of flexible technologies to dynamically shift power loads in response to grid v…

math.OC2026

Incorporating circular economy policies into product supply chains using bilevel optimization -- A case study on coffee packaging

Paola Munoz Briones, Meng-Lin Tsai, Styliani Avraamidou

Transitioning to a Circular Economy requires policies to drive sustainable practices. This study proposes a bilevel optimization framework to evaluate the combined use of carbon ta…

math.OC2026

Explicit Distributed MPC: Reducing Computation and Communication Load by Exploiting Facet Properties

Parth R. Brahmbhatt, Hari S. Ganesh, Styliani Avraamidou

Classical Distributed Model Predictive Control (DiMPC) requires multiple iterations to achieve convergence, leading to high computational and communication burdens. This work focus…

math.OC2026

Parametric Region Search: A Mixed-Integer Bilevel Optimization Problem Primal Heuristic

Meng-Lin Tsai, Parth Brahmbhatt, Styliani Avraamidou

Bilevel optimization is a mathematical modeling formulation for hierarchical systems and two-player interactions, with wide-ranging applications in environmental, energy, and contr…

math.OC2025

Benders Decomposition using Graph Modeling and Multi-Parametric Programming

Parth Brahmbhatt, David L. Cole, Victor M. Zavala +1

Benders decomposition is a widely used method for solving large optimization problems, but its performance is often hindered by the repeated solution of subproblems. We propose a f…