suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM2_i97.dat, 97:1137|6.3e-11
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM3_i97.dat, 97:43170|1.6e-10
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM5_i97.dat, 97:35999|2.3e-10
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM10_i97.dat, 97:1428881|2.0e+00
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM20_i97.dat, 97:2502863|4.0e+00
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM40_i97.dat, 97:5604806|1.1e+01