In multi-robot missions, relative position and attitude information between robots is valuable for a variety of tasks such as mapping, planning, and formatio...

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

Motivated by our collaboration with one of the largest fast-fashion retailers in Europe, we study a two-echelon inventory control problem called the One-Ware...

We consider online optimization problems with time-varying linear equality constraints. In this framework, an agent makes sequential decisions using only pri...

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

Les systèmes de production d'énergie renouvelables hybrides (SPERH), où l'on peut trouver deux ou plusieurs moyens de production d'énergie renouvelables co-l...

Les charges thermostatiques, telles que le chauffage électrique de l'eau et des bâtiments, ont un impact significatif sur la demande en électricité sur une a...

Le Dixième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 13 au 27 août 2020, fut organisé conjointement par le Centre de recher...

This paper studies a stochastic variant of the vehicle routing problem (VRP) where both customer locations and demands are uncertain. In particular, potentia...

The existing technologies that update geostatistically simulated models of mineral deposits cannot self-learn from incoming new information generated in oper...

A new mathematical model for stochastic short-term optimization of mining complexes is presented that simultaneously optimizes the short-term extraction sequ...

Personnel scheduling consists of determining least-cost work schedules to cover the demand of multiple jobs expressed in number of employees per job and peri...

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

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

The Integral Simplex Using Decomposition (ISUD) algorithm has been developed recently to solve large set partitioning problems (SPPs) in a primal way, i.e.,...

New digital technologies including the development of advanced sensors and monitoring devices have enabled a mining complex to acquire new information abou...

Les problèmes de gestion de personnel visent à déterminer les horaires de travail les moins coûteux pour couvrir la demande d'une ou plusieurs tâches à chaqu...

Clustering is the subject of active research in several fields such as operations research, statistics, pattern recognition, and machine learning. The range ...

The purpose of this study is to design incentives for price and advertising coordination in a bilateral monopoly. I prove that a wholesale price reduction ...

This paper focuses on designing a state estimator for a discrete-time SEIR epidemic model of an influenza-like illness. It is assumed that only sets of adm...