suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM2_i1.dat, 2:488|3.8e-09, 91:410|4.9e-09, 95:428|8.3e-09, 99:530|6.4e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM3_i1.dat, 2:786|7.3e-09, 91:898|5.3e-09, 95:695|7.2e-10, 99:772|3.4e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM5_i1.dat, 2:1610|5.6e-09, 91:1602|4.5e-09, 95:1938|4.1e-09, 99:1666|4.2e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM10_i1.dat, 2:6022|3.9e-09, 91:4782|5.0e-09, 95:6792|5.3e-09, 99:5822|6.2e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM20_i1.dat, 2:22178|6.9e-09, 91:21134|9.4e-09, 95:20630|7.7e-09, 99:21614|5.8e-09
suite = 'bbob', funcId = 10, 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_f10/bbobexp_f10_DIM40_i1.dat, 2:98792|9.9e-09, 91:102662|9.1e-09, 95:96662|9.7e-09, 99:91007|7.7e-09