373 citations · 852 across the 17 of their papers we have counts for
18 papers
Fair Dataset Distillation via Cross-Group Barycenter Alignment
Mohammad Hossein Moslemi, Nima Hosseini Dashtbayaz, Zhimin Mei +2
Dataset Distillation aims to compress a large dataset into a small synthetic one while maintaining predictive performance. We show that as different demographic groups exhibit dist…
Solving Sparse Mixed-Integer Quadratic Problems: Application to the Unit Commitment Problem with Optimal Power Flow
Ignacio Gómez-Casares, Pietro Belotti, Bissan Ghaddar +1
Mixed-Integer Quadratically Constrained Quadratic Programs (MIQCQP) arise in a variety of applications, particularly in energy, water, and gas systems, where discrete decisions int…
Joint Matching and Pricing for Crowd-shipping with In-store Customers
Arash Dehghan, Mucahit Cevik, Merve Bodur +1
This paper examines the use of in-store customers as delivery couriers in a centralized crowd-shipping system, targeting the growing need for efficient last-mile delivery in urban…
Learning in Spatial Branching: Limitations of Strong Branching Imitation
Brais González-Rodríguez, Ignacio Gómez-Casares, Bissan Ghaddar +2
Over the last few years, there has been a surge in the use of learning techniques to improve the performance of optimization algorithms. In particular, the learning of branching ru…
Three Network Design Problems for Community Energy Storage
Bissan Ghaddar, Ivana Ljubic, Yuying Qiu
In this paper, we develop novel mathematical models to optimize utilization of community energy storage (CES) by clustering prosumers and consumers into energy sharing communities/…
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan, Bissan Ghaddar, Xinglu Wang +3
The rapid advancement of artificial intelligence (AI) techniques has opened up new opportunities to revolutionize various fields, including operations research (OR). This survey pa…
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
Rindranirina Ramamonjison, Timothy T. Yu, Raymond Li +8
The Natural Language for Optimization (NL4Opt) Competition was created to investigate methods of extracting the meaning and formulation of an optimization problem based on its text…
Polynomial Optimization: Enhancing RLT relaxations with Conic Constraints
Brais González-Rodríguez, Raúl Alvite-Pazó, Samuel Alvite-Pazó +2
Conic optimization has recently emerged as a powerful tool for designing tractable and guaranteed algorithms for non-convex polynomial optimization problems. On the one hand, tract…
Adaptive robust electric vehicle routing under energy consumption uncertainty
Jaehee Jeong, Bissan Ghaddar, Nicolas Zufferey +1
Electric vehicles (EVs) have been highly favoured as a future transportation mode in the transportation section in recent years. EVs have many advantages compared to traditional tr…
Learning for Spatial Branching: An Algorithm Selection Approach
Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz +3
The use of machine learning techniques to improve the performance of branch-and-bound optimization algorithms is a very active area in the context of mixed integer linear problems,…
Text Mining Undergraduate Engineering Programs' Applications: the Role of Gender, Nationality, and Socio-economic Status
Bo Lin, Bissan Ghaddar, Ada Hurst
Women, visible minorities, and other socially disadvantaged groups continue to be underrepresented in STEM education. Understanding students' motivations for pursuing a STEM major,…
Two-Stage Robust Quadratic Optimization with Equalities and its Application to Optimal Power Flow
Olga Kuryatnikova, Bissan Ghaddar, Daniel K. Molzahn
In this work, we consider two-stage quadratic optimization problems under ellipsoidal uncertainty. In the first stage, one needs to decide upon the values of a subset of optimizati…
Electric Vehicle Routing and Charging/Discharging under Time-Variant Electricity Prices
Bo Lin, Bissan Ghaddar, Jatin Nathwani
The integration of electric vehicles (EVs) with the energy grid has become an important area of research due to the increasing EV penetration in today's transportation systems. Und…
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
The past decade has seen a rapid penetration of electric vehicles (EV) in the market, more and more logistics and transportation companies start to deploy EVs for service provision…
Optimization Problems for Machine Learning: A Survey
Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya
This paper surveys the machine learning literature and presents in an optimization framework several commonly used machine learning approaches. Particularly, mathematical optimizat…
AC Transmission Network Expansion Planning: A Semidefinite Programming Branch-and-Cut Approach
Bissan Ghaddar, Rabih Jabr
Transmission network expansion planning is a mixed-integer optimization problem, whose solution is used to guide future investment in transmission equipment. An approach is present…
Alternative SDP and SOCP Approximations for Polynomial Optimization
Xiaolong Kuang, Bissan Ghaddar, Joe Naoum-Sawaya +1
In theory, hierarchies of semidefinite programming (SDP) relaxations based on sum of squares (SOS) polynomials have been shown to provide arbitrarily close approximations for a gen…
Optimal Power Flow as a Polynomial Optimization Problem
Bissan Ghaddar, Jakub Marecek, Martin Mevissen
Formulating the alternating current optimal power flow (ACOPF) as a polynomial optimization problem makes it possible to solve large instances in practice and to guarantee asymptot…