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_i2.dat, 4:4379|1.7e-09, 93:1155|9.2e-09, 97:6588|2.7e-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_i2.dat, 4:12508|3.4e-09, 93:21119|1.2e-10, 97:7586|5.8e-11
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_i2.dat, 4:24302|3.8e-09, 93:15589|4.2e-09, 97:21230|2.9e-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_i2.dat, 4:90827|3.2e-10, 93:54656|6.4e-10, 97:58726|7.2e-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_i2.dat, 4:263935|4.1e-10, 93:253327|3.0e-10, 97:248851|3.7e-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_i2.dat, 4:654142|1.6e-10, 93:1783179|6.7e-11, 97:1176353|1.7e-10