suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM2_i1.dat, 1:32|0.0e+00, 5:32|0.0e+00, 94:38|0.0e+00, 98:26|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM3_i1.dat, 1:37|0.0e+00, 5:93|0.0e+00, 94:37|0.0e+00, 98:23|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM5_i1.dat, 1:122|0.0e+00, 5:74|0.0e+00, 94:42|0.0e+00, 98:50|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM10_i1.dat, 1:122|0.0e+00, 5:192|0.0e+00, 94:202|0.0e+00, 98:92|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM20_i1.dat, 1:290|0.0e+00, 5:218|0.0e+00, 94:326|0.0e+00, 98:326|0.0e+00
suite = 'bbob', funcId = 5, 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_f5/bbobexp_f5_DIM40_i1.dat, 1:557|0.0e+00, 5:572|0.0e+00, 94:482|0.0e+00, 98:632|0.0e+00