suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM2_i3.dat, 4:524|9.0e-09, 93:452|1.3e-09, 97:560|5.9e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM3_i3.dat, 4:933|5.9e-09, 93:1045|9.7e-09, 97:751|3.4e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM5_i3.dat, 4:1682|5.9e-09, 93:1770|5.9e-09, 97:1570|5.2e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM10_i3.dat, 4:4122|6.0e-09, 93:4362|7.2e-09, 97:4812|7.0e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM20_i3.dat, 4:8894|9.8e-09, 93:9830|7.9e-09, 97:10262|8.1e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM40_i3.dat, 4:24257|8.4e-09, 93:24737|9.9e-09, 97:25427|8.9e-09