In this work, we tackle the optimal energy trading~(OET) problem in distribution grids with a large number of prosumer households. We first introduce a clust...

Semi-supervised clustering is a learning approach that primarily relies on unlabeled data but incorporates some prior information to improve the clustering r...

Dynamic games are considered with large subpopulations distributed over large sparse graphs, where each agent has mean field coupling with all agents withi...

It is well known that physical activity plays a key role in maintaining good health. Over the past few decades, there has been a significant increase in both...

As fast-charging demand grows, ensuring the operational resilience of electric vehicle (EV) infrastructure under congestion becomes a key challenge in large-...

The Crew Pairing Problem (CPP) involves constructing feasible pairings (sequences of flights, connections, and rest periods) for airline crew while minimizin...

This paper introduces IPNSDP, a MATLAB solver for general Nonlinear Semidefinite Programming (NSDP) based on a second-order interior point method. Unlike lin...

The Batch Pan Scheduling Problem represents a major operational challenge in white sugar refineries, where production planning must balance throughput object...

Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

Benchmarking new optimization methods on test problems is essential for assessing their performance and tuning their parameters. Yet, few problems are avail...

Ridesharing could offer a solution to urban mobility challenges by delivering affordability and convenience while reducing congestion and environmental impac...

Bus scheduling problem is a core optimization problem for public transit agencies. Given a set of timetabled trips to cover during a day and a homogeneous bu...

This work studies constrained blackbox optimization problems that cannot be solved in reasonable time due to prohibitive computational costs. This challenge...

Designing icephobic surfaces to delay ice formation is crucial for applications like aviation safety and cryopreservation. While Classical Nucleation Theory ...

Distributed wireless networks provide scalable and decentralized connectivity for applications ranging from IoT and vehicular communication to emergency resp...

Large-scale distributed wireless networks offer infrastructure-free and cost-effective connectivity. Recent theoretical work has shown that scalability crit...

Origin--destination (OD) matrices are essential for forecasting and capacity planning in transportation and communication networks, yet they are not directl...