bajeluk/surrogate-cmaes
Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algorithm which is interconnected with Gaussian processes (or random forests, that are, however, not maintained here anymore).
MATLAB
Issues
- 0
Bug in TSS nearest
#8 opened - 5
Result data for DTS-CMA-ES on BBOB
#6 opened