Randomized Optimization
An Equipe-projet, joint with INRIA Saclay-Ile de France.
Head: Anne Auger, Directrice de Recherche INRIA
Permanent members :
- Dimo Brockhoff, Chargé de Recherche INRIA
- Nikolaus Hansen, Directeur de Recherche INRIA
PhD students :
- Paul Dufossé (2018-)
- Mohamed Gharafi (2022-)
- Armand Gissler (2021-)
- Eugénie Marescaux (2019-)
Associate members :
- Youhei Akimoto, Shinshu University, Nagana, Japan
- Tea Tušar, Jozef Stefan Institute, Ljubljana, Slovenia
Alumni :
- Cheikh Touré, PhD (2017-2021)
- Alann Cheral, PhD (2019-2021)
- Marie-Ange Dahito, PhD (2019-2021)
- Konstantinos Varelas, PhD (2017-2021)
- Umut Batu, engineer (2017-2018)
- Asma Atamna, postdoc
- Dejan Tušar, engineer (2016-2018)
Research activities:
The RandOpt team is specialized in numerical optimization without derivatives (also known as blackbox optimization) in particular with stochastic algorithms. We are interested by theory, algorithm design, and applications in several areas (such as energy, biology, medicine) in both academia and industry. We are especially known for the CMA-ES algorithm (Covariance Matrix Adaptation Evolution Strategy) of which Nikolaus Hansen is one of the main inventor and we also develop the benchmarking plaform COCO (COmparing Continuous Optimizers). Lately, we are focusing our research on expensive optimization, constrained optimization, large-scale optimization, and multiobjective optimization.