suite = 'bbob-biobj', algorithm = 'MultiGLODS', indicator = 'hyp', folder = '1-separable_4-multi-modal', coco_version = '2.3.3.5'
% MultiGLODS: global and local multiobjective optimization using direct search by Custodio and Madeira as submitted by Brockhoff et al. to BBOB-2021
function =  7, dim =  2, bbob-biobj_f07_d02_hyp.dat, 2:50002|9.7e-02
function =  8, dim =  2, bbob-biobj_f08_d02_hyp.dat, 2:50003|2.0e-02
function = 16, dim =  2, bbob-biobj_f16_d02_hyp.dat, 2:50001|1.3e-02
function = 17, dim =  2, bbob-biobj_f17_d02_hyp.dat, 2:50001|1.8e-03
function =  7, dim =  3, bbob-biobj_f07_d03_hyp.dat, 2:75000|6.7e-03
function =  8, dim =  3, bbob-biobj_f08_d03_hyp.dat, 2:75003|1.4e-02
function = 16, dim =  3, bbob-biobj_f16_d03_hyp.dat, 2:75001|1.8e-02
function = 17, dim =  3, bbob-biobj_f17_d03_hyp.dat, 2:75005|1.1e-02
function =  7, dim =  5, bbob-biobj_f07_d05_hyp.dat, 2:125000|4.4e-02
function =  8, dim =  5, bbob-biobj_f08_d05_hyp.dat, 2:125005|1.6e-01
function = 16, dim =  5, bbob-biobj_f16_d05_hyp.dat, 2:125009|5.5e-02
function = 17, dim =  5, bbob-biobj_f17_d05_hyp.dat, 2:125006|1.4e+00
function =  7, dim = 10, bbob-biobj_f07_d10_hyp.dat, 2:250010|1.5e-01
function =  8, dim = 10, bbob-biobj_f08_d10_hyp.dat, 2:250000|4.0e-01
function = 16, dim = 10, bbob-biobj_f16_d10_hyp.dat, 2:250000|6.0e-01
function = 17, dim = 10, bbob-biobj_f17_d10_hyp.dat, 2:250010|4.6e-01
function =  7, dim = 20, bbob-biobj_f07_d20_hyp.dat, 2:500000|3.2e-01
function =  8, dim = 20, bbob-biobj_f08_d20_hyp.dat, 2:500000|3.8e-01
function = 16, dim = 20, bbob-biobj_f16_d20_hyp.dat, 2:500020|3.1e-01
function = 17, dim = 20, bbob-biobj_f17_d20_hyp.dat, 2:500020|4.2e-01