suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM2_i1.dat, 4:1568|9.4e-09, 93:632|1.9e-09, 97:674|7.8e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM3_i1.dat, 4:3166|8.8e-09, 93:905|1.8e-09, 97:1108|8.3e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM5_i1.dat, 4:14034|9.8e-09, 93:4778|8.7e-09, 97:10842|9.1e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM10_i1.dat, 4:19812|9.9e-09, 93:13092|9.4e-09, 97:21082|9.7e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM20_i1.dat, 4:74414|1.0e-08, 93:40874|1.0e-08, 97:49610|9.8e-09
suite = 'bbob', funcId = 12, 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_f12/bbobexp_f12_DIM40_i1.dat, 4:122327|9.9e-09, 93:142937|9.8e-09, 97:133412|9.5e-09