Column generation is a widely used dual-guided approach to solve highly degenerate problems. During the resolution, the degeneracy of the master problem ofte...

We consider an electricity supplier for a large commercial electric vehicle (EV) fleet. The supplier uses a dynamic pricing scheme for buying and selling ene...

We study methods for approximating road-network distances on dense urban maps, with a focus on downstream optimization tasks such as route planning. In many ...

Les hypothèses de régularité généralisée suscitent un intérêt croissant depuis quelques années, notamment en raison de problèmes d'apprentissage automati...

Equilibrium modeling for power markets usually assumes convexity of each players' optimization problem. Although the importance of accounting for fixed gener...

This paper introduces a two-stage stochastic quadratic knapsack problem (TSSQKP) with uncertainty in both profits and weights. To overcome the computational ...

Cet article propose un modèle d'optimisation pour planifier conjointement la trajectoire, le profil de vitesse et le réseau d'alimentation électrique d'un na...

Le domaine de l'optimisation de boîte noire (BBO) manque de problèmes d'ingénierie réalistes et disponibles au public pour l'analyse comparative d'algorithme...

This document contains the complete geometric derivations and analytical proofs supporting the results stated and used in the main manuscript. Results that ...

Large-scale distributed wireless networks that offer connectivity through multi-hop communication are considered for infrastructure-free, cost-effective conn...

Electricity planning has increasingly accounted for distributed renewable energy resources (DREs) and active consumer participation. However, existing planni...

L'évaluation efficace et précise de l'importance des caractéristiques pour les modèles d'intelligence artificielle et d'apprentissage automatique, sans coût ...

This work introduces ADS-PB, an extension of the Adaptive Direct Search (ADS) framework for solving constrained blackbox optimization problems. With ADS, it...

Heavy-duty vehicles (HDVs) are a major source of road transportation emissions, yet their electrification remains challenging due to operational constraints....

L’hydroélectricité couvre 94% des besoins en électricité du Québec, ce qui rend la planification à court terme de la production hydroélectrique (PHCT) essent...

Ce travail présente une revue des différentes variantes parallèles de l'algorithme de recherche directe sur treillis adaptatifs (MADS) pour l'optimisatio...

Accurate estimation of metal accumulation in electric arc furnaces (EAFs) is critical for maintaining stable ferrosilicon (FeSi) production and ensuring effe...

Task offloading in edge computing becomes significantly more challenging when applications are modeled as Directed Acyclic Graphs (DAGs), where task dependen...

To meet the increasing demand for low-latency processing in mobile and IoT devices, edge computing offloads user application tasks to nearby cloudlets (edge ...

We study the solution of symmetric positive-definite linear systems by way of families of full- and limited-memory methods. Our contributions are threefol...