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_i3.dat, 3:32|0.0e+00, 92:50|0.0e+00, 96:32|0.0e+00, 100:32|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_i3.dat, 3:51|0.0e+00, 92:30|0.0e+00, 96:30|0.0e+00, 100:37|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_i3.dat, 3:74|0.0e+00, 92:74|0.0e+00, 96:66|0.0e+00, 100:82|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_i3.dat, 3:132|0.0e+00, 92:202|0.0e+00, 96:92|0.0e+00, 100:132|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_i3.dat, 3:338|0.0e+00, 92:278|0.0e+00, 96:218|0.0e+00, 100:302|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_i3.dat, 3:557|0.0e+00, 92:677|0.0e+00, 96:587|0.0e+00, 100:572|0.0e+00