Empirical runtime distributions on multimodal weakly structured functions (f20: Schwefel, f21: Gallagher’s Gaussian 101-me Peaks, f22: Gallagher’s Gaussian 21-hi Peaks, f23: Katsuura, f24: Lunacek bi-Rastrigin) with target values in {100, …, 1e-8} in dimension 20.

The following algorithms perform particularly well up to their individual maximum number of function evaluations: GLOBAL (Sampling, clustering and local search using BFGS or Nelder-Mead) and BIPOP-CMA-ES (CMA-ES restarted with budgets for small and large population size).