Exascale computing: Methods and Algorithms
Mesocentre Network
Calcul ultra-scale pour la résolution de problèmes d'optimisation de grande taille
Big multi-objective optimization
CO-construction RespoNsablE et durabLe des technologies de l'Intelligence Artificielle
Écomobilité, Logistique, Sécurité et Adaptabilité dans les Transports à l’Horizon 2020
Advanced data science and technologies
Smart multi-objective optimisation
Multi-objective automated design and optimization of deep neural networks with applications to embedded systems
Optimization of deep neural networks applied to the energy consumption forecasting
Supported by the PGMO programme of Jacques Hadamard foundation of mathematics (https://www.fondation-hadamard.fr/)
Design of aerospace vehicles
Strategic and operational planning of large medical laboratories
Migration of ParadisEO from C++ to Python to facilitate its use and interoperability with other solvers and tools
Bilateral agreement between ULille and Riken Center for Computational Science (R-CCS), Japan
Scalable and flexible HPC-accelerated optimization and computational intelligence algorithms on top of the Fugaku supercomputer
Associate-team between Inria Lille (Bonus) and EMI school, Rabat (Morocco) with a collaboration with EDF energy (France)
Parallel fractal-based chaotic optimization with application to the optimization of deep neural networks for energy management
North-European associate-team between Inria Lille (Bonus) and the University of Exeter, UK
Three-fold decomposition in multi-objective optimization
International Associated Laboratory (LAI) with Shinshu University (Japan)
Frontiers in massive optimization and computational intelligence
International project for scientific cooperation with the University of Coimbra, and co-funded by CNRS (IEA) and FCT
Bridging the gap between exact methods and heuristics for multi-objective search