suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM2_i4.dat, 1:620|6.3e-09, 5:500|8.4e-09, 94:554|3.8e-09, 98:524|4.1e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM3_i4.dat, 1:730|6.5e-09, 5:870|7.1e-09, 94:884|6.3e-09, 98:919|5.9e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM5_i4.dat, 1:1610|6.9e-09, 5:1706|5.9e-09, 94:2362|7.7e-09, 98:2146|6.9e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM10_i4.dat, 1:4642|8.7e-09, 5:4192|9.2e-09, 94:3922|6.1e-09, 98:4332|6.1e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM20_i4.dat, 1:10778|9.4e-09, 5:10214|9.0e-09, 94:10898|9.7e-09, 98:9698|9.1e-09
suite = 'bbob', funcId = 6, 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_f6/bbobexp_f6_DIM40_i4.dat, 1:28487|9.6e-09, 5:26612|9.1e-09, 94:23762|9.8e-09, 98:23987|9.4e-09