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_i2.dat, 1:362|7.4e-09, 5:470|8.0e-09, 94:488|4.7e-09, 98:374|9.6e-10
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_i2.dat, 1:660|5.0e-09, 5:5905|1.9e-09, 94:765|1.2e-09, 98:9609|3.5e-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_i2.dat, 1:10012|4.4e-09, 5:4155|7.4e-10, 94:9500|8.1e-09, 98:4347|3.8e-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_i2.dat, 1:71766|2.9e-10, 5:41745|5.1e-10, 94:21564|2.3e-09, 98:19764|4.0e-09
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_i2.dat, 1:76409|4.4e-10, 5:197298|1.0e-10, 94:324283|2.0e-11, 98:523580|7.5e-13
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_i2.dat, 1:2806044|5.7e-14, 5:825067|2.3e-12, 94:847702|8.2e-12, 98:810697|4.3e-12