suite = 'bbob', funcId = 9, DIM = 2, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f9/bbobexp_f9_DIM2_i4.dat, 4:380|1.0e-09, 93:440|1.9e-09, 97:452|5.5e-10
suite = 'bbob', funcId = 9, DIM = 3, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f9/bbobexp_f9_DIM3_i4.dat, 4:1017|6.5e-09, 93:814|2.1e-09, 97:1486|6.5e-09
suite = 'bbob', funcId = 9, DIM = 5, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f9/bbobexp_f9_DIM5_i4.dat, 4:1994|3.6e-09, 93:5259|8.4e-10, 97:2218|3.0e-09
suite = 'bbob', funcId = 9, DIM = 10, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f9/bbobexp_f9_DIM10_i4.dat, 4:8832|6.1e-09, 93:9492|6.2e-09, 97:8012|4.8e-09
suite = 'bbob', funcId = 9, DIM = 20, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f9/bbobexp_f9_DIM20_i4.dat, 4:29438|8.9e-09, 93:65091|1.8e-09, 97:30434|6.8e-09
suite = 'bbob', funcId = 9, DIM = 40, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f9/bbobexp_f9_DIM40_i4.dat, 4:128162|6.2e-09, 93:125327|6.9e-09, 97:136532|6.8e-09