suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM2_i4.dat, 2:5039|2.3e-09, 91:2632|9.8e-09, 95:2944|2.5e-09, 99:4661|8.3e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM3_i4.dat, 2:7033|1.5e-09, 91:8181|7.9e-10, 95:11584|2.7e-09, 99:4631|2.6e-09
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM5_i4.dat, 2:14613|2.5e-09, 91:22470|3.5e-10, 95:38887|5.9e-10, 99:23046|1.9e-09
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM10_i4.dat, 2:61896|7.1e-10, 91:36585|4.9e-10, 95:14564|8.6e-10, 99:57986|4.5e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM20_i4.dat, 2:386768|1.0e-10, 91:238423|4.3e-10, 95:237859|4.5e-10, 99:138534|2.5e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM40_i4.dat, 2:1817499|5.6e-11, 91:1127468|1.2e-10, 95:1119683|2.1e-10, 99:597337|3.0e-10