In simulation-based engineering, design choices are often obtained following the optimization of complex blackbox models. These models frequently involve mi...

The use of transfer learning within Bayesian optimization addresses the disadvantages of the so-called cold start problem by using source data to aid in th...

We consider the security-constrained optimal power flow (SCOPF) problem in a linearized form where thermal line limits are enforced as soft constraints to re...

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

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...

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

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

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

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

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

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

Ce travail étudie les problèmes d’optimisation de boîte noire contraints qui ne peuvent pas être résolus dans un temps raisonnable en raison de coûts de calc...

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...

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

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

This paper presents a transmission expansion planning framework that couples Benders decomposition with an operational layer based on a semidefinite programm...

This paper investigates the Collaborative Routing Orchestration for Organic Food Distribution Problem (CRO-FDP), a two-echelon collaborative distribution n...

Le CRM, IVADO et le GERAD organisèrent conjointement le Quinzième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 2 au 6 juin 202...

In this paper, we study the pickup and delivery problem with time windows, multiple compartments, incompatibility constraints and cleaning operations (PDPTWM...

Cet article présente RegularizedOptimization.jl, un module Julia qui implémente des familles de méthodes d'optimisation non lisse.