suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM2_i2.dat, 2:3268|1.3e-09, 91:1467|8.3e-09, 95:3706|2.9e-09, 99:3568|5.4e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM3_i2.dat, 2:6122|7.0e-09, 91:2894|2.0e-09, 95:2614|6.1e-09, 99:4855|2.1e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM5_i2.dat, 2:5915|7.9e-09, 91:11500|6.2e-09, 95:11916|3.6e-09, 99:4739|2.9e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM10_i2.dat, 2:49535|2.7e-09, 91:16483|5.5e-09, 95:49405|3.8e-09, 99:47865|2.2e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM20_i2.dat, 2:92669|2.8e-09, 91:91781|3.5e-09, 95:50044|5.5e-09, 99:96041|2.3e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM40_i2.dat, 2:342276|1.5e-09, 91:342996|1.8e-09, 95:330051|1.8e-09, 99:172580|2.1e-09