suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM2_i3.dat, 3:794|2.4e-09, 92:3442|6.2e-09, 96:1695|2.1e-09, 100:3400|1.7e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM3_i3.dat, 3:2929|1.4e-09, 92:2887|2.4e-09, 96:2796|4.3e-09, 100:5009|1.9e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM5_i3.dat, 3:6467|3.6e-09, 92:10308|5.3e-09, 96:5115|1.7e-09, 100:10684|4.9e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM10_i3.dat, 3:15623|9.2e-09, 92:24704|2.5e-09, 96:51925|1.9e-09, 100:23674|7.1e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM20_i3.dat, 3:48004|3.8e-09, 92:88049|2.9e-09, 96:45232|4.0e-09, 100:93197|3.0e-09
suite = 'bbob', funcId = 17, 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_f17/bbobexp_f17_DIM40_i3.dat, 3:164945|2.5e-09, 92:164810|2.3e-09, 96:168515|3.1e-09, 100:344901|1.8e-09