samples the sample size is and the number of elite samples is the components of the initial sampling vector are all equal to / that isthe are initially uniformly sampled from the set of all binary vectors of length at each subsequent iteration the parameter vector is updated via the mean of the elite samples and evolves towards degenerate vector pwith only and sampling from such berpdistribution gives an outcome xpwhich can be taken as an estimate for the minimizer of that isthe true binary vector hidden in the black box the algorithm stops when has degenerated sufficiently figure shows the evolution of the vector of probabilities this figure may be seen as the discrete analogue of figure we see thatdespite the high noisethe ce method is able to find the true state of the black boxand hence the minimum value of figure evolution of the vector of probabilities [ pn towards the degenerate solution