Table 2: ERT loss ratio versus the budget (both in number of -evaluations divided by dimension). The target value for a given budget FEvals is the best target -value reached within the budget by the given algorithm. Shown is the ERT of the given algorithm divided by best ERT seen in GECCO-BBOB-2009 for the target , or, if the best algorithm reached a better target within the budget, the budget divided by the best ERT. Line: geometric mean. Box-Whisker error bar: 25–75%-ile with median (box), 10–90%-ile (caps), and minimum and maximum ERT loss ratio (points). The vertical line gives the maximal number of function evaluations in a single trial in this function subset. See also Figure 3 for results on each function subgroup.


#FEs/  in 5-D, maxFE/ = 100018
best10%25%med75%90%

20.621.01.42.54.08.5
101.31.62.93.55.816
1002.32.66.48.41342
4.25.0124062
132532
3.43583
3.435
RLUS/

#FEs/ in 20-D, maxFE/ = 100004
best10%25%med75%90%

20.941.15.8244040
101.34.87.016
1004.36.2112139
5.07.62348
3953
43
RLUS/