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 ...

Intermittent renewable energy, such as solar and wind, brings uncertainty into the grid. To increase their contribution into the energy mix, load management ...

Estimating the unknown density from which a given independent sample originates is more difficult than estimating the mean, in the sense that for the best po...

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 ...

Array-RQMC has been proposed as a way to effectively apply randomized quasi-Monte Carlo (RQMC) when simulating a Markov chain over a large number of steps to...

In this study, we develop a deterministic nonlinear filtering algorithm based on a high-dimensional version of Kitagawa (1987) to evaluate the likelihood fun...

This paper introduces the algorithmic design and implementation of Tulip, an open-source interior-point solver for linear optimization. It implements the ho...

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...

L’accroissement de la proportion d’énergies renouvelables fluctuantes représente un défi important pour les exploitants de réseaux électriques. Il existe p...

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

We consider three colouring problems which are variations of the basic vertex-colouring problem, and are motivated by applications from various domains. We g...

Dans cet article, nous étudions la concurrence entre marques nationales et marques privées (ou marques de distributeurs) en analysant l’effet de la présence ...

Reducing the number of features used in data classification can remove noisy or redundant features, reduce the cost of data collection, and improve the accur...

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

\(K\)-medoids clustering is among the most popular methods for cluster analysis, but it carries several assumptions about the nature of the latent clusters...

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 ...