Theme Team Metamodeling, Continuous Optimization and Applications (MOCA)


The MOCA team studies the management of numerical simulation models and their use in continuous optimization. Metamodeling encompasses here two types of "models of models" :

    • Statistical metamodels (e.g., Gaussian processes) that are built from input-output data. The data is often generated by the simulation of physical systems (e.g., with finite elements models). We specialize in statistical metamodels that are compatible with sparse data. Such metamodels typically underly optimization algorithms.

    • Metamodels that aim at producing computer programs by describing and processing a class of models. Such metamodels may also be metacodes that algorithmically describe a set of possible program instances.

The team has contributions in domains such as continuous optimization theory and computer experiments. In addition, the group implements simulation softwares for high-performance computing, discrete events simulation and numerical reproductibility.



  • Statistical models
  • Continuous optimization
  • Discrete event simulation
  • Scientific Computing
  • High Performance Computing
  • Numerical reproductibility

Last publications

Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert, Xavier Boucher, Pascal Gounet, Jerome Adrian - Nov. 3, 2022
Leveraging Pre-trained Models for Failure Analysis Triplets Generation

Djoko Kamdem, Jonas Koko, Mohamed Mbehou, Toni Sayah - Oct. 22, 2022
Stokes and Navier-Stokes equations under power law slip boundary condition: Numerical Analysis
Computers & Mathematics with Applications

Anis Hoayek, Didier Rullière - Oct. 12, 2022
Assessing clustering methods using Shannon's entropy

Tanguy Appriou, Didier Rullière, David Gaudrie - Oct. 12, 2022
Combination of High-Dimensional Kriging Sub-models

Djoko Kamdem, Jonas Koko - Oct. 5, 2022
GLS methods for Stokes equations under boundary condition of friction type: formulation-analysis-numerical schemes and simulations
SeMA Journal: Bulletin of the Spanish Society of Applied Mathematics

Renaud Chicoisne, Fernando Ordóñez, Daniel Castro - Sept. 30, 2022
Location and Strategies in Stackelberg Security Games with Risk Aversion

Abdallah Amine Melakhsou, Mireille Batton-Hubert, Nicolas Casoetto - Sept. 6, 2022
Computer Vision based welding defect detection using YOLOv3
27th International Conference on Emerging Technologies and Factory Automation (ETFA)

Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, François-Xavier Irisarri, Jean-François Maire, Sebastien da Veiga, Rodolphe Le Riche - Aug. 29, 2022
Sequential calibration of material model using mixed-effects
25ème Congrès Français de Mécanique

Marc Grossouvre, Didier Rullière - Aug. 25, 2022
Mixture Kriging on granular data

Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet - Aug. 16, 2022
Quantizing rare random maps: application to flooding visualization

All publications are here