suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM2_i4.dat, 3:380|4.3e-11, 92:1419|6.6e-09, 96:440|1.9e-09, 100:1329|2.4e-09
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM3_i4.dat, 3:2607|5.8e-09, 92:2600|2.5e-09, 96:2579|2.0e-09, 100:842|9.0e-09
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM5_i4.dat, 3:10372|6.3e-10, 92:9692|3.4e-09, 96:9020|8.5e-09, 100:10612|6.3e-09
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM10_i4.dat, 3:42265|1.9e-09, 92:8733|7.8e-09, 96:41415|1.1e-10, 100:18724|1.8e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM20_i4.dat, 3:167826|1.9e-10, 92:76193|5.5e-11, 96:193110|3.5e-11, 100:83561|3.6e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM40_i4.dat, 3:4473385|4.3e-14, 92:1633403|1.1e-12, 96:1562228|8.1e-13, 100:1544198|2.0e-12