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_i1.dat, 3:2584|1.8e-11, 92:1227|7.4e-09, 96:4583|7.7e-11, 100:9378|3.0e-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_i1.dat, 3:1949|7.2e-10, 92:2047|2.0e-09, 96:13817|2.9e-09, 100:7446|3.3e-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_i1.dat, 3:13773|1.4e-09, 92:13989|8.8e-10, 96:23798|1.8e-09, 100:23734|6.7e-10
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_i1.dat, 3:92357|7.4e-10, 92:142608|3.7e-10, 96:91617|1.9e-10, 100:95387|3.9e-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_i1.dat, 3:141210|5.9e-10, 92:261439|2.0e-10, 96:256747|2.4e-10, 100:272959|3.4e-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_i1.dat, 3:590842|2.0e-10, 92:619252|3.1e-10, 96:600727|2.8e-10, 100:1824909|9.4e-11