February 20 – 25 , 2022, Dagstuhl Seminar 22081

Theory of Randomized Optimization Heuristics


Anne Auger (INRIA Saclay – Palaiseau, FR)
Carlos M. Fonseca (University of Coimbra, PT)
Tobias Friedrich (Hasso-Plattner-Institut, Universität Potsdam, DE)
Johannes Lengler (ETH Zürich, CH)

For support, please contact

Simone Schilke for administrative matters

Shida Kunz for scientific matters

Dagstuhl Seminar Series


  • Neural And Evolutionary Computing


  • Black-box optimization
  • Evolutionary and genetic algorithms
  • Stochastic gradient descent
  • Randomized search algorithms
  • Theoretical computer science
  • Derivative-free optimization


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


Download overview leaflet (PDF).


Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.