suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM2_i95.dat, 95:145288|1.2e-09
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM3_i95.dat, 95:16057|9.4e-09
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM5_i95.dat, 95:862267|3.0e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM10_i95.dat, 95:1488341|6.0e+00
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM20_i95.dat, 95:2278187|1.4e+01
suite = 'bbob', funcId = 4, 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_f4/bbobexp_f4_DIM40_i95.dat, 95:5399951|2.9e+01