In this work, we tackle the optimal energy trading~(OET) problem in distribution grids with a large number of prosumer households. We first introduce a clust...

The CRM, IVADO, and GERAD organized jointly the Fifteenth Montreal Industrial Problem Solving Workshop, which was held at HEC Montréal on June 2-6, 2025. We ...

In this paper, a new deterministic model is developed for the real-time optimization of microgrids with diesel gensets and battery energy storage systems. Th...

Ridesharing could offer a solution to urban mobility challenges by delivering affordability and convenience while reducing congestion and environmental impac...

On February 4, 2025, the 5th edition of GERAD's Student Day took place, under the theme of energy transition. The aim of this event was to give students the ...

In this paper, we address the problem of online estimation of spherical features in the field of camera for robotics. Specifically, we consider a mobile robo...

The Fourteenth Montreal Industrial Problem Solving Workshop, held May 13-17, 2024, was jointly organized by the Centre de recherches mathématiques (CRM), the...

This study explores accelerating strategies in column generation (CG) to effectively solve online dial-a-ride problems in large-scale ride-sharing systems. ...

This paper addresses the scheduling of electrical drilling machines in open-pit mines, proposing three constraint programming formulations to account for unc...

This article addresses the efficient coordination of multiple electrical drill rigs in open-pit mines, considering unique constraints such as continuous powe...

The Thirteenth Montreal IPSW took place on August 21-25, 2023, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute ...

In this work, we study a class of two-player deterministic finite-horizon difference games with coupled inequality constraints, where both players have two t...

In this work, we improve the efficiency of Unit Commitment (UC) optimization solvers using a Graph Convolutional Neural Network (GCNN). In power systems, UC ...

We consider the set of graphs that can be constructed from a one-vertex graph by repeatedly adding a clique or a stable set linked to all or none of the vert...

Incentive-based demand response aggregators are widely recognized as a powerful strategy to increase the flexibility of residential community microgrid (RCM)...

Recommender systems provide personalized recommendations to their users for items and services. They do that using a model that is tailored to each user to i...

We propose new algorithms with provable performance for online binary optimization subject to general constraints and in dynamic settings. We consider the su...

In this paper, a new model is proposed for the real-time diesel genset optimal dispatch and unit commitment in remote microgrids. The objective is to reduce ...

The Twelfth Montreal IPSW took place on August 22-26, 2022, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute for D...

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