The RandOpt Team @ Inria
The RandOpt team at Inria's Saclay - Ile-de-France research center, joint team with the CMAP at Ecole Polytechnique, deals with the analysis, development and implementation of randomized blackbox optimization methods in the continuous domain. We are in particular focusing on CMA-ES type methods and are interested in benchmarking.
Our work covers all types of blackbox optimization scenarios such as unconstrained and constrained optimization, single- and multiobjective optimization, and medium and large-scale optimization with topics ranging from theory over algorithm design to real-world applications.
We welcome our new PhD student, Mohamed Gharafi!
We are happy to announce that also in 2022, our Blackbox Optimization Benchmarking workshop will take place at GECCO! The co-organizers for this year are Anne Auger, Dimo Brockhoff, Konstantin Dietrich, Paul Dufossé, Tobias Glasmachers, Nikolaus Hansen, Olaf Mersmann, Petr Posik, and Tea Tusar. Paper submission deadline is the 11th…