Projects
National/International Initiatives
ANR PEPR Numpex/Axis Exa-MA (2022-2027)
Exascale computing: Methods and Algorithms
ANR PIA Equipex+ MesoNet (2021-2027)
Mesocentre Network
International ANR/FNR France/Luxembourg PRCI UltraBO (2023-2026)
Calcul ultra-scale pour la résolution de problèmes d'optimisation de grande taille
International ANR/RGC France/Hong Kong PRCI BigMO (2017-2021)
Big multi-objective optimization
CPER CornelIA (2021-2027)
CO-construction RespoNsablE et durabLe des technologies de l'Intelligence Artificielle
CPER ELSAT (2015-2021)
Écomobilité, Logistique, Sécurité et Adaptabilité dans les Transports à l’Horizon 2020
CPER Data (2015-2021)
Advanced data science and technologies
European Projects
H2020 SYNERGY (2016-2019)
Smart multi-objective optimisation
Industrial Contracts
Confiance.ai (2021-2024)
Multi-objective automated design and optimization of deep neural networks with applications to embedded systems
EDF (2021-2024)
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/)
ONERA & CNES (2016-2023)
Design of aerospace vehicles
Beckman & Coulter/Normand (California, USA, 2015-2018)
Strategic and operational planning of large medical laboratories
Inria Project Labs, Exploratory Research Actions and Technological Development Actions
PyParadisEO (2020-2022)
Migration of ParadisEO from C++ to Python to facilitate its use and interoperability with other solvers and tools
Associated Teams and other International Projects
Memorandum of Understanding (MoU, 2021-2026)
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
AnyScale (2022-2024)
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
D3MO (2018-2020)
North-European associate-team between Inria Lille (Bonus) and the University of Exeter, UK
Three-fold decomposition in multi-objective optimization
LAI MODŌ (2017-2021)
International Associated Laboratory (LAI) with Shinshu University (Japan)
Frontiers in massive optimization and computational intelligence
MOCO-Search (2018-2020)
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