suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM2_i3.dat, 3:26|0.0e+00, 92:26|0.0e+00, 96:20|0.0e+00, 100:50|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM3_i3.dat, 3:37|0.0e+00, 92:37|0.0e+00, 96:86|0.0e+00, 100:51|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM5_i3.dat, 3:50|0.0e+00, 92:82|0.0e+00, 96:74|0.0e+00, 100:58|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM10_i3.dat, 3:132|0.0e+00, 92:172|0.0e+00, 96:262|0.0e+00, 100:72|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM20_i3.dat, 3:326|0.0e+00, 92:290|0.0e+00, 96:182|0.0e+00, 100:230|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM40_i3.dat, 3:482|0.0e+00, 92:467|0.0e+00, 96:617|0.0e+00, 100:632|0.0e+00