suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM2_i93.dat, 93:1407|2.5e-09
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM3_i93.dat, 93:2166|9.7e-09
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM5_i93.dat, 93:3827|3.6e-11
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM10_i93.dat, 93:36985|4.0e-11
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM20_i93.dat, 93:328051|2.9e-11
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM40_i93.dat, 93:1162343|1.6e-12