suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM2_i94.dat, 94:2938|7.3e-10
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM3_i94.dat, 94:2306|7.2e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM5_i94.dat, 94:10612|2.2e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM10_i94.dat, 94:23064|3.7e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM20_i94.dat, 94:45064|4.6e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM40_i94.dat, 94:162785|2.3e-09