suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM2_i4.dat, 1:566|3.6e-09, 5:434|7.1e-09, 94:620|7.8e-10, 98:410|2.6e-10
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM3_i4.dat, 1:751|8.5e-09, 5:835|5.2e-09, 94:772|2.9e-09, 98:695|5.0e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM5_i4.dat, 1:1426|3.7e-09, 5:1770|3.0e-09, 94:1594|4.7e-09, 98:1874|4.5e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM10_i4.dat, 1:5482|2.7e-09, 5:5472|3.9e-09, 94:6372|7.6e-09, 98:5912|2.7e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM20_i4.dat, 1:20678|3.3e-09, 5:20198|5.8e-09, 94:20474|4.6e-09, 98:20786|6.0e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM40_i4.dat, 1:92267|8.2e-09, 5:104777|9.9e-09, 94:96227|8.8e-09, 98:92297|7.6e-09