Axe 2 : Aide à la décision prise dans les systèmes complexes

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Les réseaux de distribution électrique modernes (RDE) intègrent un nombre croissant de technologies associées aux réseaux de distribution actifs, telles que ...

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Surrogate modeling with insufficient data can lead to high prediction uncertainty and errors. A promising remedy to address this issue is the use of transfer...

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Cet article présente une nouvelle variante du problème de production et de distribution intégré dans une chaîne d'approvisionnement à deux niveaux impliquant...

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Rolling stock scheduling and crew scheduling are two fundamental problems that arise in the planning of urban rail operations and that are especially importa...

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Solving optimization problems in which functions are blackboxes and variables involve different types poses significant theoretical and algorithmic challeng...

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Benchmarking new optimization methods on test problems is essential for assessing their performance and tuning their parameters. Yet, few problems are avail...

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Benchmarking is essential for assessing the effectiveness of optimization algorithms. This is especially true in derivative-free optimization, where target ...

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Researchers around the globe attend the International Symposium on Mathematical Programming (ISMP) to share their latest results in mathematics, algorithms, ...

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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...

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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 ...

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Dans ce travail, nous proposons des stratégies améliorées de mappage de tâches pour les simulations de systèmes électriques en temps réel sur des grappes de ...

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We consider fair resource allocation in sequential decision-making environments modeled as weakly coupled Markov decision processes, where resource constrain...

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This paper proposes a two-phase optimization framework for short-term hydropower scheduling in the day-ahead electricity market using profile block bids grou...

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Multiobjective blackbox optimization deals with problems where the objective and constraint functions are the outputs of a numerical simulation. In this cont...

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Local search methods start from a feasible solution and improve it by successive minor modifications until a solution that cannot be further improved is enco...

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The crew rostering problem (CRP) for pilots is a complex crew scheduling task assigning pairings, or sequences of flights starting and ending at the same air...

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An industrial mining complex is an integrated value chain includes the excavation, transportation, processing, and distribution of mineral products as well a...

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Retailers routinely face the strategic decision of how to promote their products. Two of the most common promotion strategies are bundling and discounting. D...

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We develop a worst-case evaluation complexity bound for trust-region methods in the presence of unbounded Hessian approximations. We use the algorithm of ...

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