8 citations · 8 across the 2 of their papers we have counts for
4 papers
The stochastic Auxiliary Problem Principle in Banach spaces: measurability and convergence
Thomas Bittar, Pierre Carpentier, Jean-Philippe Chancelier +1
The stochastic Auxiliary Problem Principle (APP) algorithm is a general Stochastic Approximation (SA) scheme that turns the resolution of an original optimization problem into the…
A Decomposition Method by Interaction Prediction for the Optimization of Maintenance Scheduling
Jean-Philippe Chancelier, Thomas Bittar, Pierre Carpentier +2
Optimizing maintenance scheduling is a major issue to improve the performance of hydropower plants. We study a system of several physical components of the same family: either a se…
Stochastic simulators based optimization by Gaussian process metamodels -- Application to maintenance investments planning issues
Thomas Browne, Bertrand Iooss, Loïc Le Gratiet +2
This paper deals with the optimization of industrial asset management strategies, whose profitability is characterized by the Net Present Value (NPV) indicator which is assessed by…
Stochastic simulators based optimization by Gaussian process metamodels - Application to maintenance investments planning issues
Thomas Browne, Bertrand Iooss, Loïc Le Gratiet +1
This paper deals with the construction of a metamodel (i.e. a simplified mathematical model) for a stochastic computer code (also called stochastic numerical model or stochastic si…