46 citations · 87 across the 16 of their papers we have counts for
18 papers
Computing Rare Probabilities of Voltage Collapse
Tongtong Jin, Anirudh Subramanyam, D. Adrian Maldonado
This paper introduces a framework based on Large Deviation Theory (LDT) to accurately and efficiently compute the rare probabilities of voltage collapse. We formulate the problem a…
Decision-Scaled Scenario Approach for Rare Chance-Constrained Optimization
Jaeseok Choi, Anand Deo, Constantino Lagoa +1
Chance-constrained optimization is a suitable modeling framework for safety-critical applications where violating constraints is nearly unacceptable. The scenario approach is a pop…
Machine Learning-Enabled Large-Scale Capacity Expansion Planning under Uncertainty
Taehyeon Kwon, Anirudh Subramanyam
Capacity expansion planning under uncertainty requires selecting a scenario count and representative operational horizon to estimate average production costs. Small choices risk un…
Extreme-Scale EV Charging Infrastructure Planning for Last-Mile Delivery Using High-Performance Parallel Computing
Waquar Kaleem, Taner Cokyasar, Jeffrey Larson +3
This paper addresses stochastic charger location and allocation problems under queue congestion for last-mile delivery using electric vehicles (EVs). The objective is to decide whe…
Neural Embedded Mixed-Integer Optimization for Location-Routing Problems
Waquar Kaleem, Doyoung Lee, Changhyun Kwon +1
We present a framework that combines machine learning with mixed-integer optimization to solve the Capacitated Location-Routing Problem (CLRP), a classical NP-hard problem that int…
Correction to: A Lagrangian dual method for two-stage robust optimization with binary uncertainties
Henri Lefebvre, Anirudh Subramanyam
We provide a correction to the sufficient conditions under which closed-form expressions for the optimal Lagrange multiplier are provided in arXiv:2112.13138 [math.OC]. We first pr…
Electric Vehicle Supply Equipment Location and Capacity Allocation for Fixed-Route Networks
Amir Davatgari, Taner Cokyasar, Anirudh Subramanyam +2
Electric vehicle (EV) supply equipment location and allocation (EVSELCA) problems for freight vehicles are becoming more important because of the trending electrification shift. So…
Network Cascade Vulnerability using Constrained Bayesian Optimization
Albert Lam, Mihai Anitescu, Anirudh Subramanyam
Measures of power grid vulnerability are often assessed by the amount of damage an adversary can exact on the network. However, the cascading impact of such attacks is often overlo…
A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties
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. Tr…
Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network
Anirudh Subramanyam, Taner Cokyasar, Jeffrey Larson +1
Range-extended electric vehicles combine the higher efficiency and environmental benefits of battery-powered electric motors with the longer mileage and autonomy of conventional in…
A Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery
Taner Cokyasar, Anirudh Subramanyam, Jeffrey Larson +2
Electric vehicle routing problems can be particularly complex when recharging must be performed mid-route. In some applications such as the e-commerce parcel delivery truck routing…
A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems
Anirudh Subramanyam, Youngdae Kim, Michel Schanen +2
Motivated by the increasing availability of high-performance parallel computing, we design a distributed parallel algorithm for linearly-coupled block-structured nonconvex constrai…
Optimization under rare chance constraints
Shanyin Tong, Anirudh Subramanyam, Vishwas Rao
Chance constraints provide a principled framework to mitigate the risk of high-impact extreme events by modifying the controllable properties of a system. The low probability and r…
Failure Probability Constrained AC Optimal Power Flow
Anirudh Subramanyam, Jacob Roth, Albert Lam +1
Despite cascading failures being the central cause of blackouts in power transmission systems, existing operational and planning decisions are made largely by ignoring their underl…
Data-driven two-stage conic optimization with zero-one uncertainties
Anirudh Subramanyam, Mohamed El Tonbari, Kibaek Kim
We address high-dimensional zero-one random parameters in two-stage convex conic optimization problems. Such parameters typically represent failures of network elements and constit…
Robust optimization of a broad class of heterogeneous vehicle routing problems under demand uncertainty
Anirudh Subramanyam, Panagiotis P. Repoussis, Chrysanthos E. Gounaris
This paper studies robust variants of an extended model of the classical Heterogeneous Vehicle Routing Problem (HVRP), where a mixed fleet of vehicles with different capacities, av…
A Scenario Decomposition Algorithm for Strategic Time Window Assignment Vehicle Routing Problems
Anirudh Subramanyam, Akang Wang, Chrysanthos E. Gounaris
We study the strategic decision-making problem of assigning time windows to customers in the context of vehicle routing applications that are affected by operational uncertainty. T…
K-Adaptability in Two-Stage Mixed-Integer Robust Optimization
Anirudh Subramanyam, Chrysanthos E. Gounaris, Wolfram Wiesemann
We study two-stage robust optimization problems with mixed discrete-continuous decisions in both stages. Despite their broad range of applications, these problems pose two fundamen…