3 papers
math.OC2026
Accelerating Full-Scale Nonlinear Model Predictive Control via Surrogate Dynamics Optimization
Perceval Beja-Battais, Guillaume Dupré, Alain Grossetête +1
Driven by advances in hardware and software technologies, nonlinear model predictive control (NMPC) has gained increasing adoption in both industry and academia over the past decad…
cs.LG2026
Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
Perceval Beja-Battais, Alain Grossetête, Nicolas Vayatis
In recent years, there has been an increasing need for Nuclear Power Plants (NPPs) to improve flexibility in order to match the rapid growth of renewable energies. The Operator Ass…
math.OC2024
LIPO+: Frugal Global Optimization for Lipschitz Functions
Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane +2
In this paper, we propose simple yet effective empirical improvements to the algorithms of the LIPO family, introduced in [Malherbe2017], that we call LIPO+ and AdaLIPO+. We compar…