suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM2_i3.dat, 2:434|3.7e-09, 91:560|6.8e-10, 95:1665|8.9e-11, 99:542|8.3e-09
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM3_i3.dat, 2:1935|9.9e-10, 91:2257|8.8e-10, 95:667|3.8e-09, 99:9098|6.3e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM5_i3.dat, 2:16453|5.0e-09, 91:15453|2.8e-10, 95:10572|4.4e-11, 99:7964|4.4e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM10_i3.dat, 2:40945|8.1e-10, 91:20134|1.2e-09, 95:19264|3.5e-10, 99:35905|5.4e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM20_i3.dat, 2:328819|1.9e-11, 91:535892|1.9e-12, 95:178170|3.3e-11, 99:592760|4.0e-12
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM40_i3.dat, 2:2799909|2.3e-13, 91:679957|9.2e-13, 95:837667|2.9e-11, 99:391116|3.9e-11