Table 1 Experiment generation (simulation) and the nominal value.
From: Biochemical systems identification by a random drift particle swarm optimization approach
P | 0.05 | 0.13572 | Â | 0.36840 | 1.0 |
|---|---|---|---|---|---|
S | 0.1 | 0.46416 | Â | 2.1544 | 10 |
Parameter | Element of decision variables vector | Nominal value | Parameter | Element of decision variables vector | Nominal value |
V 1 | θ 1 | 1 | V 4 | θ 19 | 0.1 |
Ki 1 | θ 2 | 1 | K 4 | θ 20 | 1 |
ni 1 | θ 3 | 2 | k 4 | θ 21 | 0.1 |
Ka 1 | θ 4 | 1 | V 5 | θ 22 | 0.1 |
na 1 | θ 5 | 2 | K 5 | θ 23 | 1 |
k 1 | θ 6 | 1 | k 5 | θ 24 | 0.1 |
V 2 | θ 7 | 1 | V 6 | θ 25 | 0.1 |
Ki 2 | θ 8 | 1 | K 6 | θ 26 | 1 |
ni 2 | θ 9 | 2 | k 6 | θ 27 | 0.1 |
Ki 2 | θ 10 | 1 | kcat 1 | θ 28 | 1 |
na 2 | θ 11 | 2 | Km 1 | θ 29 | 1 |
k 2 | θ 12 | 1 | Km 2 | θ 30 | 1 |
V 3 | θ 13 | 1 | kcat 2 | θ 31 | 1 |
Ki 3 | θ 14 | 1 | Km 3 | θ 32 | 1 |
ni 3 | θ 15 | 2 | Km 4 | θ 33 | 1 |
Ka 3 | θ 16 | 1 | Kcat 3 | θ 34 | 1 |
na 3 | θ 17 | 2 | Km 5 | θ 35 | 1 |
k 3 | θ 18 | 1 | Km 6 | θ 36 | 1 |