Table 4.
Optimization objective, decision, and timing results for each technique for case study 1.
| Variable | SO | DF-NM | DF-MADS | DB-MATLAB | DB-Pyomo |
|---|---|---|---|---|---|
| (mol/L) | 0.0878 | 0.0880 | 0.0814 | 0.0834 | 0.0836 |
| (mol/L) | 0.115 | 0.112 | 0.117 | 0.116 | 0.116 |
| (s) | 150.1 | 381.2 | 1956.6 | 1626.7 | 1529.4 |
| (s) | 2670.9 | 2968.2 | 4010.9 | 3460.0 | 3446.0 |
| (L) | 0.695 | 1.76 | 9.06 | 7.53 | 7.08 |
| Flow rate (L/h) | 16.669 | 16.667 | 16.668 | 16.667 | 16.667 |
| Product Flow (kg/h) | 0.26530 | 0.26538 | 0.26538 | 0.26537 | 0.26536 |
| Solve time (s) | 4.5 | 762.8 | 881. | 885.1 | 148.8 |
| PharmaPy Callbacks | N/A | 561 | 559 | 621 | 112 |