suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM2_i95.dat, 95:5448|2.4e-10
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM3_i95.dat, 95:380|2.7e-11
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM5_i95.dat, 95:39704|7.1e-13
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM10_i95.dat, 95:596651|6.9e-01
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM20_i95.dat, 95:1081631|6.9e-01
suite = 'bbob', funcId = 22, 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_f22/bbobexp_f22_DIM40_i95.dat, 95:2476991|6.9e-01