suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM2_i3.dat, 1:4859|4.8e-09, 5:8172|4.0e-10, 94:7848|2.2e-09, 98:3166|4.2e-11
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM3_i3.dat, 1:11675|1.7e-09, 5:4379|1.7e-09, 94:7831|6.3e-09, 98:7691|1.1e-09
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM5_i3.dat, 1:1410|4.9e-09, 5:3331|2.3e-09, 94:35671|1.3e-09, 98:15069|2.3e-09
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM10_i3.dat, 1:32555|1.1e-09, 5:89957|5.8e-10, 94:56146|5.7e-10, 98:56856|8.7e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM20_i3.dat, 1:408404|1.7e-10, 5:405392|2.7e-10, 94:272407|1.7e-10, 98:391244|2.0e-10
suite = 'bbob', funcId = 15, 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_f15/bbobexp_f15_DIM40_i3.dat, 1:1173758|1.0e-10, 5:636937|3.0e-10, 94:1139663|1.4e-10, 98:616162|3.4e-10