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Revue semestrielle de vulgarisation scientifique de la recherche effectuée par nos membre et résumé récent de nos activités.

Cahiers les plus récents

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G-2025-75 RegularizedOptimization.jl: A Julia framework for regularized and nonsmooth optimization
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Cet article présente RegularizedOptimization.jl, un module Julia qui implémente des familles de méthodes d'optimisation non lisse.

G-2025-80 Optimal energy trading in residential prosumer clusters via graphon mean field games
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Dans ce travail, nous nous intéressons au problème de l’Optimal Energy Trading (OET) dans les réseaux de distribution intégrant un grand nombre de foyers pro...

G-2025-79 ChemicHull: an online tool for determining extremal chemical graphs of maximum degree at most 3 for any degree-based topological indices
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Topological indices are graph-theoretic descriptors that play a crucial role in mathematical chemistry, capturing the structural characteristics of molecules...

G-2025-78 Collaborative routing orchestration for organic food distribution
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This paper investigates the Collaborative Routing Orchestration for Organic Food Distribution Problem (CRO-FDP), a two-echelon collaborative distribution n...

G-2025-77 A branch-price-and-cut algorithm for multi-compartment pickup and delivery problems with incompatibility constraints and cleaning operations
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In this paper, we study the pickup and delivery problem with time windows, multiple compartments, incompatibility constraints and cleaning operations (PDPTWM...

Publications scientifiques récentes

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Artificial Intelligence Based Primary Care Artificial Intelligence and Human Cognition in General Practice and Family Medicine
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Advances in Power Consumption Model for Data Centers: Analytical Formulas vs. Machine Learning Models
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Strategies for units incentivization: Assessing influence by maximizing loss/gain in centrally managed systems
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Branch-and-Price
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Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

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Optimal text-based time-series indices
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We propose an approach to construct text-based time-series indices in an optimal way -typically, indices that maximize the contemporaneous relation or the pr...