suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM2_i96.dat, 96:41888|4.6e-09
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM3_i96.dat, 96:524948|9.8e-01
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM5_i96.dat, 96:813755|2.2e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM10_i96.dat, 96:1430621|5.0e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM20_i96.dat, 96:2398091|1.5e+01
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM40_i96.dat, 96:5319026|3.4e+01