suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM2_i1.dat, 4:386|1.5e-09, 93:252695|6.0e-03, 97:8880|8.5e-10
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM3_i1.dat, 4:434172|1.3e+00, 93:444147|1.1e+00, 97:424652|1.3e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM5_i1.dat, 4:649659|3.0e+00, 93:643315|2.5e+00, 97:595315|3.0e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM10_i1.dat, 4:1115521|6.0e+00, 93:1065051|6.0e+00, 97:1204201|6.0e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM20_i1.dat, 4:2047139|1.3e+01, 93:2057435|1.4e+01, 97:2148119|1.2e+01
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM40_i1.dat, 4:4843526|3.1e+01, 93:4869641|2.5e+01, 97:4870271|2.7e+01