Comparison of 31 algorithms from BBOB-2009 on bbob suite
Empirical runtime distributions (runtime in number of function evaluations divided by dimension) on all functions with target values in {100, … , 1e-8} in dimension 10. The cross indicates the maximum number of function evaluations. A decline in steepness right after the cross (e.g. for IPOP-SEP-CMA-ES) indicates that the maximum number of function evaluations should have been chosen larger. A steep increase right after the cross (e.g. for simple GA) indicates that a restart should have been invoked earlier.
The plot stems from the BBOB-2010 paper "Comparing Results of 31 Algorithms from the Black-Box Optimization Benchmarking BBOB-2009". For a more detailed performance assessment of all so-far benchmarked algorithms on bbob, see the ppdata archive.