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, 1:50000|2.6e-03
function =  8, dim =  2, bbob-biobj_f08_d02_hyp.dat, 1:50002|3.4e-03
function = 16, dim =  2, bbob-biobj_f16_d02_hyp.dat, 1:50002|6.2e-03
function = 17, dim =  2, bbob-biobj_f17_d02_hyp.dat, 1:50002|2.4e-03
function =  7, dim =  3, bbob-biobj_f07_d03_hyp.dat, 1:75000|2.1e-02
function =  8, dim =  3, bbob-biobj_f08_d03_hyp.dat, 1:75000|2.4e-03
function = 16, dim =  3, bbob-biobj_f16_d03_hyp.dat, 1:75001|8.0e-04
function = 17, dim =  3, bbob-biobj_f17_d03_hyp.dat, 1:75000|7.9e-03
function =  7, dim =  5, bbob-biobj_f07_d05_hyp.dat, 1:125000|6.1e-02
function =  8, dim =  5, bbob-biobj_f08_d05_hyp.dat, 1:125000|4.9e-02
function = 16, dim =  5, bbob-biobj_f16_d05_hyp.dat, 1:125000|8.7e-02
function = 17, dim =  5, bbob-biobj_f17_d05_hyp.dat, 1:125000|5.2e-02
function =  7, dim = 10, bbob-biobj_f07_d10_hyp.dat, 1:250000|2.6e-01
function =  8, dim = 10, bbob-biobj_f08_d10_hyp.dat, 1:250000|1.5e-01
function = 16, dim = 10, bbob-biobj_f16_d10_hyp.dat, 1:250010|1.4e-01
function = 17, dim = 10, bbob-biobj_f17_d10_hyp.dat, 1:250010|2.5e-01
function =  7, dim = 20, bbob-biobj_f07_d20_hyp.dat, 1:500020|3.3e-01
function =  8, dim = 20, bbob-biobj_f08_d20_hyp.dat, 1:500000|2.6e-01
function = 16, dim = 20, bbob-biobj_f16_d20_hyp.dat, 1:500000|6.2e-01
function = 17, dim = 20, bbob-biobj_f17_d20_hyp.dat, 1:500020|4.0e-01