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Scaling of run "time" with dimension

Average running time (aRT in number of f−evaluations as log10 value), divided by dimension for target function value 10^{−5} versus dimension. Slanted grid lines indicate quadratic scaling with the dimension. Different symbols correspond to different algorithms given in the legend of f1 and f55. Light symbols give the maximum number of function evaluations from the longest trial divided by dimension. Black stars indicate a statistically better result compared to all other algorithms with p < 0.01 and Bonferroni correction number of dimensions (six).

Legend: : DEMO Tusar bbob-biobj, : HMO-CMA-ES Loshchilov bbob-biobj, : MAT-DIRECT Al-Dujaili bbob-biobj, : MAT-SMS Al-Dujaili bbob-biobj, : MO-DIRECT-HV-Rank Wong bbob-biobj, : MO-DIRECT-ND Wong bbob-biobj, : MO-DIRECT-Rank Wong bbob-biobj, rightY: NSGA-II-MATLAB Auger bbob-biobj, downY: RANDOMSEARCH-100 Auger bbob-biobj, : RANDOMSEARCH-4 Auger bbob-biobj, : RANDOMSEARCH-5 Auger bbob-biobj, : RM-MEDA Auger bbob-biobj, : SMS-EMOA-DE Auger bbob-biobj, : SMS-EMOA-PM Auger bbob-biobj, : UP-MO-CMA-ES Krause bbob-biobj