suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM2_i2.dat, 3:476|4.0e-09, 92:500|4.2e-09, 96:680|8.9e-09, 100:428|9.8e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM3_i2.dat, 3:716|6.2e-09, 92:730|6.1e-09, 96:898|8.8e-09, 100:744|3.9e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM5_i2.dat, 3:1554|6.1e-09, 92:1122|4.3e-09, 96:1474|9.7e-09, 100:1938|9.4e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM10_i2.dat, 3:5002|9.7e-09, 92:4552|8.8e-09, 96:5202|9.3e-09, 100:4102|1.0e-08
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM20_i2.dat, 3:16022|1.0e-08, 92:16706|9.8e-09, 96:16958|9.9e-09, 100:18842|9.8e-09
suite = 'bbob', funcId = 14, 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_f14/bbobexp_f14_DIM40_i2.dat, 3:66377|1.0e-08, 92:66092|1.0e-08, 96:71957|1.0e-08, 100:65492|1.0e-08