suite = 'bbob', funcId = 20, DIM = 2, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f20/bbobexp_f20_DIM2_i95.dat, 95:4643|3.6e-09
suite = 'bbob', funcId = 20, DIM = 3, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f20/bbobexp_f20_DIM3_i95.dat, 95:555|6.9e-10
suite = 'bbob', funcId = 20, DIM = 5, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f20/bbobexp_f20_DIM5_i95.dat, 95:20262|6.4e-10
suite = 'bbob', funcId = 20, DIM = 10, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f20/bbobexp_f20_DIM10_i95.dat, 95:795630|4.6e-11
suite = 'bbob', funcId = 20, DIM = 20, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f20/bbobexp_f20_DIM20_i95.dat, 95:4000823|1.2e-01
suite = 'bbob', funcId = 20, DIM = 40, Precision = 1.000e-08, algId = 's-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% s-CMA-ES: CMA-ES without cumulation for the step size as benchmarked by A. Gissler in his BBOB-2023 paper
data_f20/bbobexp_f20_DIM40_i95.dat, 95:8001596|2.7e-01