suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM2_i2.dat, 2:14|0.0e+00, 91:44|0.0e+00, 95:68|0.0e+00, 99:26|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM3_i2.dat, 2:65|0.0e+00, 91:16|0.0e+00, 95:30|0.0e+00, 99:30|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM5_i2.dat, 2:74|0.0e+00, 91:34|0.0e+00, 95:90|0.0e+00, 99:106|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM10_i2.dat, 2:132|0.0e+00, 91:222|0.0e+00, 95:132|0.0e+00, 99:102|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM20_i2.dat, 2:254|0.0e+00, 91:338|0.0e+00, 95:230|0.0e+00, 99:386|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM40_i2.dat, 2:572|0.0e+00, 91:842|0.0e+00, 95:617|0.0e+00, 99:602|0.0e+00