suite = 'bbob', funcId = 15, DIM = 2, Precision = 1.000e-08, algId = 'cd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% cd-CMA-ES: continuously differentiable CMA-ES variant without cumulation for the covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f15/bbobexp_f15_DIM2_i1.dat, 3:2572|8.2e-10, 92:4607|4.0e-10, 96:518|1.3e-09, 100:2644|2.9e-09
suite = 'bbob', funcId = 15, DIM = 3, Precision = 1.000e-08, algId = 'cd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% cd-CMA-ES: continuously differentiable CMA-ES variant without cumulation for the covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f15/bbobexp_f15_DIM3_i1.dat, 3:2180|3.7e-09, 92:4288|9.4e-10, 96:8447|4.5e-10, 100:13649|5.7e-10
suite = 'bbob', funcId = 15, DIM = 5, Precision = 1.000e-08, algId = 'cd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% cd-CMA-ES: continuously differentiable CMA-ES variant without cumulation for the covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f15/bbobexp_f15_DIM5_i1.dat, 3:36111|7.6e-10, 92:38847|8.4e-11, 96:23606|2.2e-10, 100:14845|4.5e-09
suite = 'bbob', funcId = 15, DIM = 10, Precision = 1.000e-08, algId = 'cd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% cd-CMA-ES: continuously differentiable CMA-ES variant without cumulation for the covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f15/bbobexp_f15_DIM10_i1.dat, 3:98147|4.9e-10, 92:59576|4.5e-10, 96:87887|7.6e-10, 100:55466|1.1e-10
suite = 'bbob', funcId = 15, DIM = 20, Precision = 1.000e-08, algId = 'cd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% cd-CMA-ES: continuously differentiable CMA-ES variant without cumulation for the covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f15/bbobexp_f15_DIM20_i1.dat, 3:388556|1.6e-10, 92:239551|4.4e-10, 96:253087|2.8e-10, 100:244903|3.5e-10
suite = 'bbob', funcId = 15, DIM = 40, Precision = 1.000e-08, algId = 'cd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% cd-CMA-ES: continuously differentiable CMA-ES variant without cumulation for the covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f15/bbobexp_f15_DIM40_i1.dat, 3:1116188|1.3e-10, 92:1147358|1.6e-10, 96:598492|2.2e-10, 100:1158038|2.7e-10