suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM2_i94.dat, 94:740|1.8e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM3_i94.dat, 94:758|1.7e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM5_i94.dat, 94:1594|1.7e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM10_i94.dat, 94:4832|2.5e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM20_i94.dat, 94:18278|7.5e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM40_i94.dat, 94:75902|6.7e-09