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-2024-71 Scheduling of drilling machines in open-pit mines: Stochastic and non-probabilistic CP approaches
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This paper addresses the scheduling of electrical drilling machines in open-pit mines, proposing three constraint programming formulations to account for unc...

G-2024-70 Partial-outsourcing strategy for the vehicle routing problem with stochastic demands
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This paper presents a partial outsourcing strategy for the vehicle routing problem with stochastic demands (VRPSD), and routing reoptimization is considered ...

G-2024-69 Sparse network mean field games: Ring structures and related topologies
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For sequences of networks embedded in the unit cube \([0, 1]^m\), (weak) measure limits of sequences of empirical measures of vertex densities (vertexon...

G-2024-68 Stochastic graphon field tracking games with finite and infinite horizons
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Linear quadratic games on very large dense networks are modelled with discrete time linear quadratic graphon field games with Q-noise. In such a game, the ag...

G-2024-67 Interpolation-free deep learning for meteorological downscaling on unaligned grids across multiple domains with application to wind power
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As climate change intensifies, the shift to cleaner energy sources becomes increasingly urgent. With wind energy production set to accelerate, reliable win...

Recent Scientific Publications

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Risk-based shelter network design in flood-prone areas: An application to Haiti
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A stochastic integer programming approach to reserve staff scheduling with preferences
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A unifying framework for selective routing problems
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A survey of contextual optimization methods for decision making under uncertainty
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Recently there has been a surge of interest in operations research~(OR) and the machine learning~(ML) community in combining prediction algorithms and optimi...

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Evaluation of counterparty credit risk under netting agreements
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