Algorithm 1. Main steps of CMA-ES algorithm.

Initialize distribution parameters While termination criterion is not met do   Sample population from the multivariate normal distribution   Evaluate the objective function for each parameter set   Update the multivariate normal distribution based on a percentage (50% in this case) of the best parameter sets. End The optimal solution is found for the parameter set that corresponds to the minimum objective function