Axe 3 : Aide à la décision prise sous incertitude
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In the Weighted Fair Sequences Problem (WFSP), one aims to schedule a set of tasks or activities so that the maximum product between the largest temporal dis...
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The Generator Maintenance Scheduling Problem (GMSP) is a problem that combines a hydropower optimization problem with a scheduling problem. Both problems are...
référence BibTeXLearning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
The simultaneous stochastic optimization of mining complexes (SSOMC) is a large-scale stochastic combinatorial optimization problem that simultaneously manag...
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Engineering design is often faced with uncertainties, making it difficult to determine an optimal design. In an unconstrained context, this amounts to choose...
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We formulate an efficient approximation for multi-agent batch reinforcement learning, the approximated multi-agent fitted Q iteration (AMAFQI). We present a ...
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We study a predisaster relief network design problem with uncertain demands. The aim is to determine the prepositioning and reallocation of relief supplies. ...
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Avec la transition énergétique en cours, les réseaux électriques deviennent de plus en plus complexes et la commande de ceux-ci doit composer avec un accrois...
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Within the context of optimization under uncertainty, a well-known alternative to minimizing expected value or the worst-case scenario consists in minimizing...
référence BibTeXData-driven optimization with distributionally robust second-order stochastic dominance constraints
Optimization with stochastic dominance constraints has recently received an increasing amount of attention in the quantitative risk management literature. In...
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The problem of portfolio management represents an important and challenging class of dynamic decision making problems, where rebalancing decisions need to be...
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Production yield can be highly volatile and uncertain, especially in industries where exogenous and environmental factors such as the climate or raw material...
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This paper introduces the consistent production routing problem in a setting with multiple plants and products. The problem consists in finding minimum-cost ...
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This paper studies a stochastic variant of the vehicle routing problem (VRP) where both customer locations and demands are uncertain. In particular, potentia...
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The geometallurgical models that predicting the throughput/comminution performance of the a processing plant often rely on rock hardness models, which are ba...
référence BibTeXStochastic stope design optimization under grade uncertainty and dynamic development costs
Stope design optimization defines mineable three-dimensional material volumes to be extracted from a mineral deposit, aiming to maximize cashflows subject ...
référence BibTeXAdaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?
This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of ...
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This work is in the context of blackbox optimization where the functions defining the problem are expensive to evaluate and where no derivatives are availabl...
référence BibTeXIntegrating learning and explicit model predictive control for unit commitment in microgrids
Dans cet article, nous adressons le problème de l’ordonnancement de l’arrêt/démarrage des génératrices dans un microréseau selon une approche visant à s’assu...
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We consider the problem of scheduling maintenance for a collection of machines under partial observations when the state of each machine deteriorates stochas...
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An innovative strategic mine planning approach is applied to a multi-mine and multi-process gold mining complex that simultaneously considers feasible capita...
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