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_i1.dat, 1:3778|7.0e-09, 5:1605|6.6e-09, 94:3646|4.0e-09, 98:1539|1.8e-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_i1.dat, 1:1157|6.4e-09, 5:2894|5.8e-09, 94:7109|4.6e-09, 98:3013|4.0e-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_i1.dat, 1:11476|4.4e-09, 5:10508|3.9e-09, 94:11860|1.4e-09, 98:18445|2.7e-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_i1.dat, 1:24854|2.5e-09, 5:27244|4.5e-09, 94:24194|4.5e-09, 98:24174|3.9e-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_i1.dat, 1:85049|2.9e-09, 5:91877|3.0e-09, 94:91049|3.8e-09, 98:139889|2.6e-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_i1.dat, 1:751147|1.3e-09, 5:349776|2.1e-09, 94:338646|1.7e-09, 98:176210|2.7e-09