suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM2_i2.dat, 1:1521|3.4e-13, 5:638|2.8e-09, 94:398|8.5e-09, 98:1755|7.7e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM3_i2.dat, 1:2621|6.8e-09, 5:4512|9.0e-09, 94:807|5.9e-10, 98:5093|5.0e-11
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM5_i2.dat, 1:1394|3.9e-09, 5:16301|2.6e-09, 94:3475|2.1e-09, 98:17517|3.1e-10
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM10_i2.dat, 1:74496|1.1e-10, 5:70386|1.2e-09, 94:37395|4.3e-10, 98:122177|7.6e-11
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM20_i2.dat, 1:150426|6.5e-11, 5:205914|5.3e-11, 94:163842|4.9e-11, 98:301831|2.7e-11
suite = 'bbob', funcId = 16, 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_f16/bbobexp_f16_DIM40_i2.dat, 1:627742|1.1e-11, 5:811072|1.3e-11, 94:815992|8.5e-12, 98:393861|5.4e-11