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Table 2 Results for the maximization of X3 and v4 using the rGMA model and optimization goals O1-O4 using the customized OA for a tolerance of 0.2%.

From: Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models

O k 1 k 2 k 3 k 4 k 5 k 6 X 3 OG (%) CPU (s)
1 0.26 5.00 5.00 0.20 0.20 0.20 8.30 0.20 2.94
2 0.21 0.22 0.21 0.20 0.20 0.20 1.10 0.00 0.06
3 0.60 5.00 5.00 0.53 0.20 0.24 5.40 0.13 2.35
4 1.00 1.05 0.97 0.92 1.00 1.00 1.10 0.00 0.23
O k 1 k 2 k 3 k 4 k 5 k 6 v 4 OG (%) CPU (s)
1 3.96 5.00 5.00 5.00 0.20 2.99 37.47 0.00 0.16
2 3.22 3.55 5.00 4.99 0.20 0.21 31.33 0.17 0.66
3 0.68 1.79 1.12 1.27 0.20 0.21 6.60 0.00 0.12
4 1.16 1.00 1.34 1.34 1.00 1.00 7.61 0.11 1.98