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^{−8} versus dimension. Slanted grid lines indicate quadratic scaling with the dimension. Different symbols correspond to different algorithms given in the legend of f1 and f24. 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: ○: Adaptive-Two-Mode bbob Bodner, ♢: BFGS-scipy-2019 bbob Varelas Dahito, ☆: CG-scipy-2019 bbob Varelas Dahito, ▼: COBYLA-scipy-2019 bbob Varelas Dahito, ⬡: DE-scipy-2019 bbob Varelas Dahito, △: GNN-CMA-ES bbob Faury, ⬠: IPOP-CMA-ES-2019 bbob Faury, rightY: L-BFGS-B-scipy-2019 bbob Varelas Dahito, downY: Nelder-Mead-scipy-2019 bbob Varelas Dahito, ◇: Powell-scipy-2019 bbob Varelas Dahito, ◁: RS-0p5-initIn0 bbob Brockhoff Hansen, ▼: RS-0p5 bbob Brockhoff Hansen, ☆: RS-1-initIn0 bbob Brockhoff Hansen, ◻: RS-10-initIn0 bbob Brockhoff Hansen, ♢: RS-10 bbob Brockhoff Hansen, △: RS-1 bbob Brockhoff Hansen, ◁: RS-2-initIn0 bbob Brockhoff Hansen, ⬡: RS-20-initIn0 bbob Brockhoff Hansen, ⬠: RS-20 bbob Brockhoff Hansen, ⬣: RS-2 bbob Brockhoff Hansen, downY: RS-3-initIn0 bbob Brockhoff Hansen, upY: RS-3 bbob Brockhoff Hansen, leftY: RS-4-initIn0 bbob Brockhoff Hansen, rightY: RS-5-initIn0 bbob Brockhoff Hansen, ◇: RS-6-initIn0 bbob Brockhoff Hansen, ♢: RS-6 bbob Brockhoff Hansen, ☆: SLSQP-scipy-2019 bbob Varelas Dahito, ▼: TNC-scipy-2019 bbob Varelas Dahito, ⬡: adapt-Nelder-Mead-scipy-2019 bbob Varelas Dahito