Table 2 GA parameters for different runs
From: Designing minimal microbial strains of desired functionality using a genetic algorithm
GA parameter | M1 ethanol | M1 efficiency | M1 complex | M2 ethanol | M2 efficiency | M2 complex | M3 ethanol | M3 efficiency | M3 complex |
|---|---|---|---|---|---|---|---|---|---|
\(w_{1}\) | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 1 |
\(w_{2}\) | 0 | 50 | 50 | 0 | 50 | 50 | 0 | 10 | 50 |
\(w_{3}\) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
\(w_{4}\) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
t | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
p | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |
\(r_m\) | 0.00025 | 0.00025 | 0.00025 | 0.00025 | 0.00025 | 0.00025 | 0.000025 | 0.000025 | 0.000025 |
cross | 1point | 1point | 1point | 1point | 1point | 1point | 1point | 1point | 1point |
elit | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 |
\(w_k\) | 0.03 | 0.017 | 0.04 | 0.025 | 0.01 | 0.03 | 0.01 | 0.0075 | 0.03 |
new_S | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 |
t_stop | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 |
min_1s | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 |
threads | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |