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-2026-13 On the completion of AI-based weather models
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Les prévisions météorologiques constituent des outils essentiels à la prise de décision. Au cours des dernières décennies, ces prévisions reposaient sur la r...

G-2026-12 Mean field games: Large sparse network limits and Laplexion dynamics
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Dynamic games are considered with large subpopulations distributed over large sparse graphs, where each agent has mean field coupling with all agents withi...

G-2026-11 Electric vehicle fast-charging facility location with endogenous queuing in path selection
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As fast-charging demand grows, ensuring the operational resilience of electric vehicle (EV) infrastructure under congestion becomes a key challenge in large-...

G-2026-10 A decision support optimization model to reduce congestion in fitness centres with an account for users' preferences
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It is well known that physical activity plays a key role in maintaining good health. Over the past few decades, there has been a significant increase in both...

Publications scientifiques récentes

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Network-wide transfer synchronization strategies in a public bus system with real-time AVL and smart card data
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L'intelligence numérique peut aider à réduire les GES… et les aggraver. Voici comment jongler avec ce paradoxe
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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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Zeroth-order Kronecker optimization for pretraining language models
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Training language models (LMs) under tight GPU memory budgets rules out standard back-propagation and motivates zeroth-order (ZO) optimization. While ZO m...