activity
20162026
most citedLagrangian Dual Decision Rules for Multistage Stochastic Mixed Integer Programming

15 citations · 57 across the 31 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

math.OC2022★ 1 cited

Stochastic Dynamic Lot-sizing with Supplier-Driven Substitution and Service Level Constraints

Narges Sereshti, Merve Bodur, James R. Luedtke

We consider a multi-stage stochastic lot-sizing problem with service level constraints and supplier-driven product substitution. A firm has multiple products and it has the option…

math.OC2022

Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem

Cheng Guo, Harsha Nagarajan, Merve Bodur

The Alternating Current Optimal Transmission Switching (ACOTS) problem incorporates line switching decisions into the AC Optimal Power Flow (ACOPF) framework, offering well-known b…

math.OC2022

A Feasibility-Seeking Approach to Two-stage Robust Optimization in Kidney Exchange

Lizeth Carolina Riascos-Alvarez, Merve Bodur, Dionne M. Aleman

Kidney paired donation programs (KPDPs) match patients with willing but incompatible donors to compatible donors with an assurance that when they donate, their intended recipient r…

math.OC2022

Leveraging Decision Diagrams to Solve Two-stage Stochastic Programs with Binary Recourse and Logical Linking Constraints

Moira MacNeil, Merve Bodur

Two-stage stochastic programs with binary recourse are challenging to solve and efficient solution methods for such problems have been limited. In this work, we generalize an exist…

math.OC2022

Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics

Margarita P. Castro, Merve Bodur, Yongjia Song

We introduce an aggregation framework to address multi-stage stochastic programs with mixed-integer state variables and continuous local variables (MSILPs). Our aggregation framewo…

math.OC2022★ 11 cited

Neur2SP: Neural Two-Stage Stochastic Programming

Justin Dumouchelle, Rahul Patel, Elias B. Khalil +1

Stochastic Programming is a powerful modeling framework for decision-making under uncertainty. In this work, we tackle two-stage stochastic programs (2SPs), the most widely used cl…