suite = 'bbob', funcId = 9, 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_f9/bbobexp_f9_DIM2_i1.dat, 1:488|4.2e-09, 5:320|4.1e-09, 94:590|4.1e-09, 98:308|4.9e-09
suite = 'bbob', funcId = 9, 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_f9/bbobexp_f9_DIM3_i1.dat, 1:1269|1.0e-09, 5:912|2.7e-09, 94:744|4.3e-09, 98:639|2.8e-09
suite = 'bbob', funcId = 9, 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_f9/bbobexp_f9_DIM5_i1.dat, 1:1962|1.8e-09, 5:2290|5.0e-09, 94:2274|3.7e-09, 98:2002|4.8e-09
suite = 'bbob', funcId = 9, 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_f9/bbobexp_f9_DIM10_i1.dat, 1:7172|7.3e-09, 5:6842|7.0e-09, 94:7112|5.2e-09, 98:8082|4.7e-09
suite = 'bbob', funcId = 9, 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_f9/bbobexp_f9_DIM20_i1.dat, 1:26066|6.1e-09, 5:26846|6.4e-09, 94:29894|4.4e-09, 98:59511|3.2e-09
suite = 'bbob', funcId = 9, 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_f9/bbobexp_f9_DIM40_i1.dat, 1:129872|9.2e-09, 5:197478|4.2e-09, 94:133052|8.7e-09, 98:131237|8.1e-09