suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM2_i3.dat, 4:590|7.6e-09, 93:500|3.3e-09, 97:620|4.3e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM3_i3.dat, 4:842|8.7e-09, 93:639|4.7e-09, 97:849|2.6e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM5_i3.dat, 4:1498|9.0e-09, 93:1546|8.4e-09, 97:1354|7.0e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM10_i3.dat, 4:4932|9.6e-09, 93:4022|9.1e-09, 97:4922|9.9e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM20_i3.dat, 4:17930|1.0e-08, 93:16850|9.9e-09, 97:15434|1.0e-08
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM40_i3.dat, 4:71372|1.0e-08, 93:69572|1.0e-08, 97:69812|1.0e-08