suite = 'bbob', funcId = 13, DIM = 2, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f13/bbobexp_f13_DIM2_i91.dat, 91:536|2.5e-09
suite = 'bbob', funcId = 13, DIM = 3, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f13/bbobexp_f13_DIM3_i91.dat, 91:912|9.0e-09
suite = 'bbob', funcId = 13, DIM = 5, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f13/bbobexp_f13_DIM5_i91.dat, 91:2354|6.3e-09
suite = 'bbob', funcId = 13, DIM = 10, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f13/bbobexp_f13_DIM10_i91.dat, 91:14673|9.8e-09
suite = 'bbob', funcId = 13, DIM = 20, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f13/bbobexp_f13_DIM20_i91.dat, 91:52815|3.8e-09
suite = 'bbob', funcId = 13, DIM = 40, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f13/bbobexp_f13_DIM40_i91.dat, 91:177320|6.7e-09