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-2026-12 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-2026-10 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...

G-2026-09 A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering
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Semi-supervised clustering is a learning approach that primarily relies on unlabeled data but incorporates some prior information to improve the clustering r...

G-2026-07 Optimisation and energy evaluation of batch pan scheduling in a white sugar refinery
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The Batch Pan Scheduling Problem represents a major operational challenge in white sugar refineries, where production planning must balance throughput object...

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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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....

article

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...