suite = 'bbob', funcId = 12, DIM = 2, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f12/bbobexp_f12_DIM2_i4.dat, 3:458|1.5e-09, 92:626|9.8e-10, 96:566|2.1e-09, 100:5775|3.0e-09
suite = 'bbob', funcId = 12, DIM = 3, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f12/bbobexp_f12_DIM3_i4.dat, 3:5224|9.3e-09, 92:1178|7.3e-09, 96:2522|8.4e-09, 100:3194|9.5e-09
suite = 'bbob', funcId = 12, DIM = 5, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f12/bbobexp_f12_DIM5_i4.dat, 3:7242|8.7e-09, 92:2522|5.7e-09, 96:7898|9.5e-09, 100:12882|9.3e-09
suite = 'bbob', funcId = 12, DIM = 10, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f12/bbobexp_f12_DIM10_i4.dat, 3:16792|9.6e-09, 92:22182|9.8e-09, 96:18542|1.0e-08, 100:17992|9.7e-09
suite = 'bbob', funcId = 12, DIM = 20, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f12/bbobexp_f12_DIM20_i4.dat, 3:39302|9.9e-09, 92:44162|9.8e-09, 96:36614|9.8e-09, 100:61274|9.7e-09
suite = 'bbob', funcId = 12, DIM = 40, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f12/bbobexp_f12_DIM40_i4.dat, 3:128792|9.7e-09, 92:127127|9.8e-09, 96:133547|9.9e-09, 100:114197|9.8e-09