suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM2_i98.dat, 98:500|2.6e-10
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM3_i98.dat, 98:1136|8.4e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM5_i98.dat, 98:7290|5.5e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM10_i98.dat, 98:10052|9.9e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM20_i98.dat, 98:23114|9.4e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM40_i98.dat, 98:39002|9.2e-09