Empirical runtime distributions on non-smooth functions (f7: Step Ellipsoid, f16: Weierstrass, f23: Katsuura) 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: AMALGAM and iAMALGAM (Adapted Maximum-Likelihood Gaussian Model Iterated Density Estimation Algorithm with no-improvement stretch, anticipated mean shift and interlaced restarts with one large or several small populations with incremental model building) and IPOP-SEP-CMA-ES and BIPOP-CMA-ES (CMA-ES restarted with budgets for small and large population size).

higlighted_results_non-smooth_functions.txt · Last modified: 2012/02/12 00:21 by nhansen
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