Publications du GERAD

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Les Cahiers du GERAD

Collection de rapports techniques et de documents de travail, témoins de la vigueur et de la productivité de notre groupe.

Publications scientifiques

Répertoire de toutes les catégories de publications scientifiques de nos membres au fil des ans.

Bulletins du GERAD

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-2024-36 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....

G-2026-21 Approximate perfect equilibria in finitely repeated Prisoner's Dilemma with asymmetric players
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Dans cet article, nous étudions un dilemme du prisonnier répété un nombre fini de fois, où les joueurs présentent une asymétrie tant dans leur propension à d...

G-2026-20 Optimal geospatial wind farm and turbine placement
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Wind power generation represents one of the main resources of modern renewable power systems. Its deployment is governed by numerous factors, e.g., weather p...

G-2026-19 An efficient scaled spectral preconditioner for sequences of symmetric positive definite linear systems
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We study the solution of large symmetric positive-definite linear systems in a matrix-free setting with a limited iteration budget. We focus on the precondi...

G-2026-18 \(K\)-means with controlled center updates: Rethinking the centroid update rule
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The \(k\)-means algorithm is one of the most widely used methods for solving the minimum sum-of-squares clustering (MSSC) problem, but it is well known to ...

Publications scientifiques récentes

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The routing-and-driving problem for plug-in hybrid electric vehicles
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The routing-and-driving problem for plug-in hybrid electric vehicles (PHEVs) is an extension of the vehicle routing problem with time windows, where routing ...

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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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