suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM2_i2.dat, 1:488|6.8e-09, 3:506|4.5e-09, 5:506|2.5e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM3_i2.dat, 1:541|3.5e-09, 3:660|2.1e-09, 5:737|4.5e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM5_i2.dat, 1:1378|3.7e-10, 3:1554|2.8e-09, 5:1474|5.6e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM10_i2.dat, 1:4342|4.2e-09, 3:4422|6.4e-09, 5:4582|2.8e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM20_i2.dat, 1:15746|5.4e-09, 3:17126|4.2e-09, 5:15974|3.2e-09