suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM2_i98.dat, 98:446|2.2e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM3_i98.dat, 98:996|2.5e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM5_i98.dat, 98:1890|3.9e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM10_i98.dat, 98:5432|3.7e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM20_i98.dat, 98:19550|7.6e-09
suite = 'bbob', funcId = 8, 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_f8/bbobexp_f8_DIM40_i98.dat, 98:75947|6.6e-09