# Axe 3 : Aide à la décision prise sous incertitude

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We use stochastic dynamic programming to design and solve an extended structural setting for which the illiquidity of the firm's assets under liquidation i...

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Les systèmes de production d'énergie renouvelables hybrides (SPERH), où l'on peut trouver deux ou plusieurs moyens de production d'énergie renouvelables co-l...

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Position estimation in Multi-Robot Systems (MRS) relies on relative angle or distance measurements between the robots, which generally deteriorate as dista...

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The multi-depot scheduling problem (MDVSP) is one of the most studied problem in public transport service planning. It consists of assigning buses to each ti...

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This paper considers the pricing of a new product in the face of sophisticated consumer behaviors. At the individual level, consumers are forward-looking, wh...

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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 consider the problem of estimating the density of a random variable $$X$$ which is the output of a simulation model. We show how an unbiased density ...

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We study quasi-Monte Carlo (QMC) integration of smooth functions defined over the multi-dimensional unit cube. Inspired by a recent work of Pan and Owen, we ...

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The procurement of freight services is an important element for the supply chain management of a shipper (i.e., a manufacturer or retailer) that sources tran...

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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...

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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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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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The simultaneous stochastic optimization of mining complexes (SSOMC) is a large-scale stochastic combinatorial optimization problem that simultaneously manag...

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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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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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Optimization with stochastic dominance constraints has recently received an increasing amount of attention in the quantitative risk management literature. In...

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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...

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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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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 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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