suite = 'bbob', funcId = 11, 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_f11/bbobexp_f11_DIM2_i2.dat, 4:398|6.6e-09, 93:440|5.3e-09, 97:500|8.7e-09
suite = 'bbob', funcId = 11, 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_f11/bbobexp_f11_DIM3_i2.dat, 4:898|8.8e-10, 93:744|3.4e-09, 97:597|8.6e-09
suite = 'bbob', funcId = 11, 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_f11/bbobexp_f11_DIM5_i2.dat, 4:1562|4.6e-09, 93:1370|1.4e-09, 97:1330|2.6e-09
suite = 'bbob', funcId = 11, 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_f11/bbobexp_f11_DIM10_i2.dat, 4:3162|4.4e-09, 93:3772|4.6e-09, 97:3162|5.1e-09
suite = 'bbob', funcId = 11, 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_f11/bbobexp_f11_DIM20_i2.dat, 4:8210|6.6e-09, 93:8738|6.3e-09, 97:8474|6.9e-09
suite = 'bbob', funcId = 11, 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_f11/bbobexp_f11_DIM40_i2.dat, 4:20732|6.1e-09, 93:20222|6.8e-09, 97:21512|5.4e-09