We present a progressive approximation algorithm for the exact solution of several classes of interdiction games in which two non-cooperative players (namely...

The performance of deep neural networks is highly sensitive to the choice of the hyperparameters that define the structure of the network and the learning pr...

Variable fixing by reduced costs is a popular technique for accelerating the solution process of mixed-integer linear programs. For vehicle routing problems ...

User-centered logistics aiming at customer satisfaction are gaining importance due to growing e-commerce and home deliveries. Customer satisfaction can be ...

Dans cet article, on introduit une classe de jeux différentiels à somme non-nulle et à horizon fini où un joueur utilise des variables de commande continues ...

Significant progress has been made in the field of computer vision, due to the development of supervised machine learning algorithms, which efficiently extra...

Les organismes caritatifs jouent un rôle important dans la production de biens et services. L'objectif de cet article est de déterminer la politique optimale...

We analyze an endogenous growth model with non-constant discounting and a negative externality of growth on utility. With a decreasing rate of impatience, ...

This paper studies the Dynamic Facility Location Problem with Modular Capacities (DFLPM). We propose a linear relaxation based heuristic (LRH) and an evoluti...

Suite aux travaux de Estrin et al. (2019), nous développons une méthode pour l’optimisation avec contraintes générales basée sur une fonction de pénalité d...

In large commercial airlines, the monthly schedule (roster) of the crew members is usually determined by solving two problems sequentially, namely, the crew ...

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...