In the talk, a weighted multirecombination evolution strategy (ES) with mutation strength self-adaptation
was presented along with the performance analysis of this ES on quadratic sphere. It was shown that
the theoretical formula for calculation of optimal learning parameter allowed for tuning of the newly
designed ES for maximal performance. An experimental comparison of the performance showed that
the weighted multirecombination ES with mutation strength self-adaptation outperformed the weighted
multirecombination ES with cumulative step size adaptation.