suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM2_i95.dat, 95:626|3.5e-09
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM3_i95.dat, 95:250582|4.7e-10
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM5_i95.dat, 95:711971|6.0e-01
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM10_i95.dat, 95:1487451|9.9e-01
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM20_i95.dat, 95:2411219|6.0e+00
suite = 'bbob', funcId = 3, 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_f3/bbobexp_f3_DIM40_i95.dat, 95:5616086|1.4e+01