suite = 'bbob', funcId = 13, 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_f13/bbobexp_f13_DIM2_i2.dat, 2:644|4.7e-09, 91:644|5.4e-09, 95:566|7.4e-09, 99:524|7.0e-09
suite = 'bbob', funcId = 13, 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_f13/bbobexp_f13_DIM3_i2.dat, 2:1150|9.3e-09, 91:1255|9.5e-09, 95:1087|7.7e-09, 99:1122|6.0e-09
suite = 'bbob', funcId = 13, 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_f13/bbobexp_f13_DIM5_i2.dat, 2:2618|5.3e-09, 91:2618|3.6e-09, 95:3058|9.1e-09, 99:6155|7.7e-09
suite = 'bbob', funcId = 13, 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_f13/bbobexp_f13_DIM10_i2.dat, 2:11102|7.8e-09, 91:10782|6.7e-09, 95:12452|7.8e-09, 99:20203|4.7e-09
suite = 'bbob', funcId = 13, 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_f13/bbobexp_f13_DIM20_i2.dat, 2:61552|4.7e-09, 91:43059|5.9e-09, 95:64960|4.9e-09, 99:39471|5.9e-09
suite = 'bbob', funcId = 13, 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_f13/bbobexp_f13_DIM40_i2.dat, 2:435936|2.3e-09, 91:225110|3.2e-09, 95:350106|8.8e-09, 99:441831|2.6e-09