The parameter configuration problem consists of finding a parameter configuration that provides the most effective performance by a given algorithm. This pap...

The most common form of renewable energy production around the world is hydropower. As a result of the growing demand for robust and environmentally friendly...

Cette note fournit un contre-exemple à un théorème proposé dans la dernière partie de l'article Analysis of direct searches for discontinuous functions, Ma...

In an effort to reduce power system-caused wildfires, utilities carry out public safety power shutoffs (PSPS) in which portions of the grid are de-energized ...

The short-term scheduling of activities in underground mines is an important step in mining operations. This procedure is a challenging optimization problem ...

In order to improve the efficiency of the last-mile delivery system when customers are possibly absent for deliveries, we propose the idea of employing the c...

La plupart des méthodes d'apprentissage par renforcement pour le contrôle adaptatif de la signalisation routière nécessitent une formation partant de zéro po...

In this study, we investigate the best remanufacturing strategy for the original equipment manufacturer (OEM) and independent remanufacturer (IR) in an innov...

Nous considérons la méthode de surrelaxation successive généralisée (GSOR) pour la résolution d’une classe de systèmes de points de selle à trois par trois...

The multi-depot scheduling problem (MDVSP) is one of the most studied problem in public transport service planning. It consists of assigning buses to each ti...

Personnel scheduling consists in determining employee work schedules (sequences of work shifts and days off) to cover the demands of multiple jobs over a pl...

We study an integrated multi-product production and distribution problem considering a network of multiple plants and customers, who are geographically dispe...

We consider the problem of training a deep neural network with nonsmooth regularization to retrieve a sparse and efficient sub-structure. Our regularizer is ...

The conjugate gradient (CG) method is a classic Krylov subspace method for solving symmetric positive definite linear systems. We introduce an analogous sem...

Nous proposons dans cet article un algorithme rapide pour calculer une borne supérieure au problème de la gestion de la puissance des utilisateurs d'un e...

We formulate an efficient approximation for multi-agent batch reinforcement learning, the approximated multi-agent fitted Q iteration (AMAFQI). We present a ...

We study a staffing optimization problem in multi-skill call centers. The objective is to minimize the total cost of agents under some quality of service (Q...

Nous proposons une procédure pour calculer une projection de \(w \in ℝ^n\) dans l'intersection de la soi-disant boule en norme zéro \(k B_0\) de rayon ...

Using a multi-level perspective approach combined with top-down macroeconomic models, we analyse the situation of the GCC countries in the perspective of a...

We assess different scenarios for a transition to zero-net emissions in Qatar. The key technologies involved in the transition include electric mobility, hyd...