suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM2_i96.dat, 96:4913|6.0e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM3_i96.dat, 96:4134|2.9e-09
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM5_i96.dat, 96:12781|1.2e-09
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM10_i96.dat, 96:53036|8.9e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM20_i96.dat, 96:206623|6.5e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM40_i96.dat, 96:1013813|1.4e-10