Publications from GERAD

The fruit of our labor

Cahiers du GERAD

Collection of technical reports and working papers, testimony to the strength and productivity of our group.

Scientific Publications

Repository of all the categories of scientific publications produced by our members over the years.

Newsletter

Semi-annual magazine popularizing scientific research carried out by our members and summary of our recent activities.

Recent Cahiers

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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-2026-26 Benchmarking bilevel derivative-free optimization algorithms
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Bilevel optimization involves an upper-level and a lower-level decision maker. The lower-level optimization problem is nested within the constraints of the ...

G-2026-21 Approximate perfect equilibria in finitely repeated Prisoner's Dilemma with asymmetric players
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In this paper, we study a finitely repeated Prisoner's Dilemma in which players are asymmetric in both their temptation to deviate from cooperation and the...

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...

Recent Scientific Publications

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article

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 ...

book

Artificial Intelligence Based Primary Care Artificial Intelligence and Human Cognition in General Practice and Family Medicine
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article

Advances in Power Consumption Model for Data Centers: Analytical Formulas vs. Machine Learning Models
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