suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM2_i2.dat, 2:32|0.0e+00, 91:38|0.0e+00, 95:32|0.0e+00, 99:56|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM3_i2.dat, 2:58|0.0e+00, 91:16|0.0e+00, 95:51|0.0e+00, 99:51|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM5_i2.dat, 2:66|0.0e+00, 91:106|0.0e+00, 95:66|0.0e+00, 99:66|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM10_i2.dat, 2:172|0.0e+00, 91:132|0.0e+00, 95:142|0.0e+00, 99:152|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM20_i2.dat, 2:242|0.0e+00, 91:242|0.0e+00, 95:290|0.0e+00, 99:302|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM40_i2.dat, 2:632|0.0e+00, 91:602|0.0e+00, 95:587|0.0e+00, 99:632|0.0e+00