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...

Log transportation accounts for up to 40% of operating costs in the Canadian forestry sector Audy et al. (2023), yet optimization tools for transportatio...

This paper examines firm competition in markets where demand depends on firms' announced resource stocks or production capacities. We develop a two-stage m...

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...

We introduce Envelopt, a globally convergent iterative framework for a broad class of structured optimization problems where a smooth objective is augmented ...

In this paper, a new deterministic model is developed for the real-time optimization of microgrids with diesel gensets and battery energy storage systems. Th...

Les systèmes de covoiturage qui tiennent compte des préférences des usagers sont essentiels pour favoriser leur adoption, améliorer l’efficacité et soutenir ...

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 ...

La reconstruction précise de champs de forçage hydrologique à haute résolution à partir d'observations éparses de stations demeure un défi, particulièrement ...

High penetrations of variable renewable energy introduce significant resource adequacy challenges, particularly when weather-driven uncertainty affects renew...

Managing electric bus (EB) fleets at scale introduces operational challenges that differ fundamentally from those of conventional fuel-powered fleets. A main...

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...