-
Supply Management for Cost Minimization in Assembly Systems with Random Compo...
This paper is concerned with inventory control in assembly systems for minimizing production costs. The system manufactures multiple products assembled from various... -
Dynamic Scheduling of Parallel Computations
Structures of parallel programs are usually modeled by task graphs in the scheduling literature. Such graphs are sometimes obtained while compiling the parallel... -
Splitting method for spatio-temporal sensors deployment in underwater systems
International audience -
Taking into account the uncertainties of prediction in the management of powe...
This PhD dissertation concerns the power management in buildings. The problem of power management is modeled as a mixed linear program. The work presented in this... -
Cumulative Step-size Adaptation on Linear Functions
International audience -
Scenario Reduction Applied to Geostatistical Simulations
International audience -
Learning by mirror averaging
International audience -
Multi-Robot 3D Coverage of Unknown Terrains
International audience -
Robust optimization of the rate of penetration of a drill-string using a stoc...
International audience -
Stochastic inverse problem for the experimental identification in the ultraso...
International audience -
Inverse problems in stochastic computational dynamics
International audience -
Modal analysis updating with an uncertain computational dynamical model and w...
International audience -
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite ...
The notable changes over the current version: - worked example of convergence rates showing SAG can be faster than first-order methods - pointing out that the storage cost is... -
Surrogate-Assisted Evolutionary Algorithms
Evolutionary Algorithms (EAs) have received a lot of attention regarding their potential to solve complex optimization problems using problem-specific variation... -
Convergence problems, optimization of algorithms and stochastic analysis of r...
To optimize the networks control in telecommunication, we consider an M^X / G / 1 retrial queue with impatient customers. By using the method of supplementary... -
Multi-channel opportunistic access : a restless multi-armed bandit perspective
In the thesis, we address the fundamental problem of opportunistic spectrum access in a multi-channel communication system. Specifically, we consider a communication... -
Bandits Games and Clustering Foundations
This thesis takes place within the machine learning theory. In particular it focuses on three sub-domains, stochastic optimization, online learning and clustering.... -
Emergence of internal representations in evolutionary robotics : influence of...
Pas de résumé en anglais -
Recursion at the crossroads of sequence modeling, random trees, stochastic al...
This monograph synthesizes several studies spanning from dynamical systems in the statistical analysis of sequences, to analysis of algorithms in random trees and...
