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_i97.dat, 97:402101|8.8e-01
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_i97.dat, 97:600982|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_i97.dat, 97:1000523|5.1e+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_i97.dat, 97:2002461|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_i97.dat, 97:4000163|2.0e+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_i97.dat, 97:8006036|4.1e+01