suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM2_i95.dat, 95:8171|4.9e-10
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM3_i95.dat, 95:601619|4.9e-01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM5_i95.dat, 95:1002291|5.0e+00
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM10_i95.dat, 95:2003371|1.0e+01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM20_i95.dat, 95:4001423|2.0e+01
suite = 'bbob', funcId = 24, 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_f24/bbobexp_f24_DIM40_i95.dat, 95:8000186|2.8e+01