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_i97.dat, 97:272063|3.0e-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_i97.dat, 97:573878|9.9e-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_i97.dat, 97:838651|2.5e+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_i97.dat, 97:1557361|6.0e+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_i97.dat, 97:2674043|1.4e+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_i97.dat, 97:5561441|3.0e+01