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-2025-37 Planning and learning in average risk-aware MDPs
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For continuing tasks, average cost Markov decision processes have well- documented value and can be solved using efficient algorithms. However, it explici...

G-2025-36 Benchmarking constrained, multi-objective and surrogate-assisted derivative-free optimization methods
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Benchmarking is essential for assessing the effectiveness of optimization algorithms. This is especially true in derivative-free optimization, where target ...

G-2025-35 Scheduling ISMP 2024
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Researchers around the globe attend the International Symposium on Mathematical Programming (ISMP) to share their latest results in mathematics, algorithms, ...

G-2025-34 Short-term hourly hydropower prediction: Evaluating LSTM and MILP-based methods
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La production hydroélectrique joue un rôle crucial dans le paysage énergétique mondial en offrant une source d'électricité renouvelable et durable. La prévis...

G-2025-33 Solving slgorithm NCL's subproblems: The need for interior methods
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Algorithm NCL was devised to solve a class of large nonlinearly constrained optimization problems whose constraints do not satisfy LICQ at a solution. It ...

Publications scientifiques récentes

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article

Backpropagation-based inference for spatial interpolation to estimate the blastability index in an open pit mine
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livre

Artificial Intelligence Based Primary Care Artificial Intelligence and Human Cognition in General Practice and Family Medicine
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chapitre de livre

Ten Pillars of AI-Enabled Shared Decision Making: A Practical Guide
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acte de conférence

Improving Nurse Scheduling Using a Random Forest Algorithm to Predict Employee Well-Being
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article

Bidding in day-ahead electricity markets: A dynamic programming framework
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