Nous explorons la mise à l’échelle d’un préconditionneur spectral pour résoudre efficacement une suite de systèmes linéaires symétriques et définis positifs...

In this report, we present our winning solution to the 16th AIMMS-MOPTA Optimization Modeling Competition on whether a fully renewable energy grid would bene...

À mesure que le changement climatique s'intensifie, la transition vers des sources d'énergie plus propres devient de plus en plus urgente. Avec l'accélératio...

Cet article aborde la coordination efficace de multiples foreuses électriques dans les mines à ciel ouvert, en tenant compte de contraintes uniques telles qu...

Les grands projets s'écartent souvent de leur budget, de leur calendrier et de leurs bénéfices attendus. Les techniques existantes pour améliorer les prévisi...

The increasing penetration of renewable electricity generation as well as the implementation of demand response programs has led to new challenges in the ope...

Governments are motivated to subsidize profit-driven firms that manufacture zero-emission vehicles to ensure they become price-competitive. This paper intr...

We consider a provider of electric vehicle charging that operates a network of charging stations and uses time-varying pricing to maximize profit and reduce ...

The water pump scheduling problem is an optimisation model that determines which water pumps will be turned on or off at each time period over a given time h...

This paper tackles a complex variant of the unit commitment (UC) problem at Hydro-Quebec, referred to as the transient stability constrained unit commitmen...

This work introduces solar, a collection of ten optimization problem instances for benchmarking blackbox optimization solvers. The instances present differ...

L'objectif de cet article est d'analyser la conséquence de l’utilisation de stratégies d’adapta-tion sur les accords internationaux pour la protection de l’e...

Produire des courbes d'Intensité-Durée-Fréquence (IDF) précises pour les précipitations nécessite des méthodologies statistiques robustes. Il est souhaitable...

Millions of oil and gas wells are abandoned and orphaned around the world. Due to funding shortfalls, many abandoned and orphaned wells remain unplugged and ...

Le Treizième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 21 au 25 août 2023, fut organisé conjointement par le Centre de re...

This paper describes a planning problem faced by a fast-growing petroleum company in West Africa. The problem is a complex variant of the petrol station repl...

This poster conceptually lays out recent advances in trustworthy machine learning (ML) that are of great interest for power systems applications like virtu...

The truck loading and inventory routing problems are the two most important decisions made by companies replenishing petrol stations. This paper investigates...

Bus scheduling in public transit consists in determining a set of bus schedules to cover a set of timetabled trips at minimum cost. This planning process has...

This work introduces a novel multi-fidelity blackbox optimization algorithm designed to alleviate the resource-intensive task of evaluating infeasible points...