suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM2_i1.dat, 2:260|1.0e-09, 91:1828|8.7e-11, 95:188|1.9e-10, 99:3251|3.1e-09
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM3_i1.dat, 2:53195|7.4e-11, 91:243947|6.9e-04, 95:220175|8.1e-04, 99:415|3.5e-09
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM5_i1.dat, 2:314003|4.8e-02, 91:4716|2.1e-10, 95:333051|4.9e-01, 99:140418|6.3e-13
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM10_i1.dat, 2:578941|6.9e-01, 91:583921|6.9e-01, 95:566021|6.9e-01, 99:595561|2.0e+00
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM20_i1.dat, 2:1046207|2.0e+00, 91:1071455|6.9e-01, 95:1073003|6.9e-01, 99:1089755|5.1e+00
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM40_i1.dat, 2:2601701|1.5e+01, 91:2567066|6.9e-01, 95:2539316|6.9e-01, 99:2590586|5.1e+00