RandOpt
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 :
- Mohamed Gharafi (2022-)
- Armand Gissler (2021-)
- Tristan Marty (2023-)
Associated members :
- Youhei Akimoto, Shinshu University, Nagana, Japan
- Tea Tušar, Jozef Stefan Institute, Ljubljana, Slovenia
Alumni :
- Paul Dufossé, PhD, PhD student from 2018 till 2022
- Eugénie Marescaux, PhD, PhD student from 2019 till 2022
- Cheikh Touré, PhD, PhD student from 2017 till 2021
- Alann Cheral, PhD student from 2019 till 2021
- Marie-Ange Dahito, PhD student from 2019 till 2021
- Konstantinos Varelas, PhD, PhD student from 2017 till 2021
- Umut Batu, engineer from 2017 till 2018
- Asma Atamna, PhD, PhD student and then postdoc
- Dejan Tušar, engineer from 2016 till 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 inventors and we also develop the benchmarking platform COCO (COmparing Continuous Optimizers). Lately, we are focusing our research on expensive optimization, constrained optimization, large-scale optimization, and multiobjective optimization.