Le Douzième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 22 au 26 août 2022, fut organisé conjointement par le Centre de reche...

We develop a Levenberg-Marquardt method for minimizing the sum of a smooth nonlinear least-squares term \(f(x) = \tfrac{1}{2} \|F(x)\|_2^2\) and a nonsmoo...

Variations between related images (e.g. due to motions) can caused by different independent factors. A qualified representation can decouple the underlying...

Short-term production planning in mining complexes involves a series of decisions concerning activities and processes to accomplish the long-term planning ...

An innovative simultaneous stochastic optimization approach is proposed that combines actor-critic reinforcement learning and stochastic mathematical progr...

Summary: We study an increasingly popular retail practice called pickup partnership that allows online retailers to offer an in-store pickup service by par...

Recommender systems provide recommendations to their users for items and services by creating a model tailored to each user to infer their preferences based ...

This paper presents a multiobjective, mixed-integer linear programming (MILP) model that integrates production scheduling, inventory management, and vessel a...

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...