suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM2_i1.dat, 4:35744|8.4e-09, 93:248141|2.1e-02, 97:265049|5.9e-03
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM3_i1.dat, 4:468682|5.6e-01, 93:490291|1.3e+00, 97:422573|7.0e-01
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM5_i1.dat, 4:650147|3.0e+00, 93:631467|2.0e+00, 97:654419|3.0e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM10_i1.dat, 4:1210121|5.0e+00, 93:1090731|6.1e+00, 97:1109921|6.2e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM20_i1.dat, 4:2099063|1.6e+01, 93:2162951|1.6e+01, 97:2169791|1.2e+01
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM40_i1.dat, 4:4994561|3.2e+01, 93:4634981|3.2e+01, 97:4984316|3.0e+01