suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM2_i1.dat, 4:12930|9.6e-10, 93:401813|1.5e-01, 97:401807|4.2e-03
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM3_i1.dat, 4:602970|2.6e+00, 93:601206|2.4e-01, 97:603502|2.2e-01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM5_i1.dat, 4:1003571|2.0e+00, 93:1000059|3.8e+00, 97:1000891|5.0e+00
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM10_i1.dat, 4:2001991|1.0e+01, 93:2001651|2.9e+00, 97:2001661|8.0e-01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM20_i1.dat, 4:4003931|2.0e+01, 93:4005311|2.0e+01, 97:4004507|7.5e-01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM40_i1.dat, 4:8000066|4.1e+01, 93:8006756|5.0e-05, 97:8001011|4.9e-01