suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM2_i92.dat, 92:400817|3.0e-05
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM3_i92.dat, 92:601129|1.9e+00
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM5_i92.dat, 92:1002131|2.0e+00
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM10_i92.dat, 92:2004941|1.0e+01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM20_i92.dat, 92:4000487|1.5e+01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM40_i92.dat, 92:8001671|3.6e+01