Theme Metamodeling

Presentation

The MOCA team studies the management of numerical simulation models and their use in continuous optimization. Metamodeling encompasses here the simulation of physical systems and the two types of metamodels (models of models) :

    • Statistical metamodels (e.g., Gaussian processes) build from input-output data. The data often comes itself from the simulation of physical systems (e.g., finite elements models). We specialize in statistical metamodels built from 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 group 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 software, and focuses on the numerical reproductibility of the results.

 

Keywords:

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

Last publications

Mateus Vilela Souza, Bruno Bachelet, Thiago Noronha, Loïc Yon, Christophe Duhamel - April 26, 2021
Online Scheduling with Time Windows of Agricultural Robots
22ème congrès de la société française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF)

Rodolphe Le Riche, Victor Picheny - April 2, 2021
Revisiting Bayesian Optimization in the light of the COCO benchmark


Olivier Roustant, Rodolphe Le Riche, Josselin Garnier, David Ginsbourger, Yves Deville, Céline Helbert, Luc Pronzato, Clémentine Prieur, Fabrice Gamboa, François Bachoc, Jeremy Rohmer, Guillaume Perrin, Amandine Marrel, Guillaume Damblin, Alain Gliere, Delphine Sinoquet, Yann Richet, Sébastien da Veiga, Frédéric Huguet - April 1, 2021
Chair in applied mathematics OQUAIDO Activity report


François Bachoc, Nicolas Durrande, Didier Rullière, Clément Chevalier - Feb. 25, 2021
Properties and comparison of some Kriging sub-model aggregation methods


Rui Sá Shibasaki, Mourad Baïou, Francisco Barahona, Philippe Mahey, Mauricio Souza - Jan. 1, 2021
Lagrangian bounds for large‐scale multicommodity network design: a comparison between Volume and Bundle methods
International Transactions in Operational Research

Jhouben Cuesta Ramirez, Olivier Roustant, Alain Gliere, Rodolphe Le Riche, Cédric Durantin, Guillaume Perrin - Dec. 17, 2020
Optimization in presence of categorical variables
Journées scientifiques d'automne de la chaire OQUAIDO

Olivier Roustant, Rodolphe Le Riche - Dec. 17, 2020
de OQUAIDO à CIROQUO -- bilan de 5 ans de la chaire OQUAIDO en mathématiques appliquées
Journées scientifiques d'automne de la chaire OQUAIDO

Julien Pelamatti, Rodolphe Le Riche, Celine Helbert, Christophette Blanchet-Scalliet - Dec. 17, 2020
Coupling constraints in Bayesian optimization with uncertainties
Journées scientifiques d'automne de la chaire OQUAIDO

Alexandre Bardakoff, Bruno Bachelet, Timothy Blattner, Walid Keyrouz, Gerson C. Kroiz, Loïc Yon - Nov. 12, 2020
Hedgehog: Understandable Scheduler-Free Heterogeneous Asynchronous Multithreaded Data-Flow Graphs
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM)

Alexis Pereda, David R.C. Hill, Claude Mazel, Bruno Bachelet - Oct. 21, 2020
Repeatability with Random Numbers Using Algorithmic Skeletons
34th European Simulation and Modelling Conference (ESM)

All publications are here