We present a case study of using machine learning classification algorithms to initialize a large scale commercial operations research solver (GENCOL) in the...

La méthode des résidus minimaux (MINRES) de Paige et Saunders (1975), qui est souvent la méthode privilégiée pour les systèmes linéaires symétriques, est une...

Given \(n\) points, a symmetric dissimilarity matrix \(D\) of dimensions \(n\times n\) and an integer \(p\geq 2\), the \(p\)-dispersion problem (pD...

Nous étudions l'évolution dans le temps d'une industrie oligopolistique, différenciée verticalement et horizontalement, où les entreprises d’un même groupe p...

In the Inventory Routing Problem customer demand is satisfied from inventory which is replenished with capacitated vehicles. The objective is to minimize tot...

Multi-agent reinforcement learning has made significant progress in recent years, but it remains a hard problem. Hence, one often resorts to developing lea...

Nous proposons une méthode itérative pour la résolution de systèmes de point de selle symétriques qui exploite la tridiagonalisation orthogonale de Saunders,...

Nous proposons une méthode de régularisation pour les problèmes aux moindres carrés non linéaires avec contraintes d'égalité. Notre appliquons les approches...

We are interested in blackbox optimization for which the user is aware of monotonic behaviour of some constraints defining the problem. That is, when incr...

Nous assistons présentement à une accélération dans le développement des énergies renouvelables raccordées aux réseaux électriques. En raison des fluctuati...

Recommender systems make use of different sources of information for providing users with recommendations of items. Such systems are often based on collabor...

Given a set of duties to be operated over a cyclic one-week horizon and groups of drivers with similar characteristics, the cyclic bus driver rostering probl...

The present work is in a context of derivative-free optimization involving direct search algorithms guided by surrogate models of the original problem. The...

We consider a personalized employee scheduling problem with characteristics present in retail stores consisting of multiple departments. In the setting under...

In the interest of full disclosure, the reader is advised that I am biased positively towards the book considered here as I have collaborated with its first ...

This is a two-part work. In Part I, low-cost and representative reduced-fidelity models of two versions of the HYDROTEL hydrological model are constructed, u...

Dealing with computationally-intensive calibration processes is still common in distributed hydrological modelling despite the computing power growth. Comput...

Le problème de planification de la production des mines à ciel ouvert vise à optimiser la valeur actuelle nette d'un projet minier. Plusieurs méthodes de sol...

Nous proposons un algorithm pour les problèmes d’optimisation non linéaire avec contraintes d’égalité basé sur une fonction de pénalité lisse proposée par ...

Microgrid, a promising component of smart grid, will potentially yield a free electricity market. This paper proposes a novel construction for a community mi...