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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