suite = 'bbob', funcId = 21, 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_f21/bbobexp_f21_DIM2_i2.dat, 2:146|2.7e-10, 91:8197|4.8e-10, 95:158|2.1e-09, 99:1708|8.9e-09
suite = 'bbob', funcId = 21, 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_f21/bbobexp_f21_DIM3_i2.dat, 2:275|3.2e-10, 91:94475|3.3e-10, 95:177|1.1e-09, 99:24613|8.7e-11
suite = 'bbob', funcId = 21, 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_f21/bbobexp_f21_DIM5_i2.dat, 2:4524|4.3e-10, 91:328283|6.9e-01, 95:8317|2.4e-11, 99:562|2.2e-09
suite = 'bbob', funcId = 21, 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_f21/bbobexp_f21_DIM10_i2.dat, 2:17125|3.7e-11, 91:559461|9.3e-01, 95:1292|2.9e-09, 99:8634|8.9e-10
suite = 'bbob', funcId = 21, 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_f21/bbobexp_f21_DIM20_i2.dat, 2:1053323|2.0e+00, 91:32885|9.0e-11, 95:1038215|1.9e+00, 99:1072175|6.9e-01
suite = 'bbob', funcId = 21, 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_f21/bbobexp_f21_DIM40_i2.dat, 2:2524166|9.3e-01, 91:2554001|1.6e+00, 95:2506001|1.9e+00, 99:2501471|6.9e-01