suite = 'bbob', funcId = 1, 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_f1/bbobexp_f1_DIM2_i1.dat, 1:230|5.9e-09, 5:260|3.0e-09, 94:242|3.0e-09, 98:284|8.5e-10
suite = 'bbob', funcId = 1, 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_f1/bbobexp_f1_DIM3_i1.dat, 1:359|8.1e-09, 5:394|6.4e-09, 94:415|2.8e-09, 98:394|3.7e-09
suite = 'bbob', funcId = 1, 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_f1/bbobexp_f1_DIM5_i1.dat, 1:682|3.7e-09, 5:722|6.9e-10, 94:1010|4.5e-09, 98:754|6.2e-09
suite = 'bbob', funcId = 1, 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_f1/bbobexp_f1_DIM10_i1.dat, 1:1462|5.0e-09, 5:1542|3.6e-09, 94:1642|8.3e-09, 98:1772|3.3e-09
suite = 'bbob', funcId = 1, 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_f1/bbobexp_f1_DIM20_i1.dat, 1:3266|5.7e-09, 5:3158|7.8e-09, 94:3086|6.2e-09, 98:3062|5.5e-09
suite = 'bbob', funcId = 1, 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_f1/bbobexp_f1_DIM40_i1.dat, 1:6842|4.6e-09, 5:6152|5.5e-09, 94:6362|5.3e-09, 98:6332|4.9e-09