Big Optimization aNd Ultra-Scale Computing
Big Optimization aNd Ultra-Scale Computing

Being ubiquitous to countless modern engineering and scientic applications, big optimization requires models increasingly large-scale to deal with a growing amount of decision variables and conflicting expensive objectives. The goal of Bonus is to come up with cutting-edge approaches at the interface of three research lines that constitute the scientic program of the project and the subject of current and forthcoming collaborations: decomposition-based optimization, Machine Learning-assisted optimization and ultra-scale optimization. From application and industrial transfer point of view, we target sustainability-aware complex scheduling and engineering design applications.

Centre(s) inria
Inria Centre at the University of Lille
In partnership with
Université de Lille


Team leader

Nathalie Bonte

Team assistant

Karine Lewandowski

Team assistant