Global Optimization on Type N3 synthetic various geometries
0.2Computational Time (s)(6) B&B
Evaluation Results
| Method | Links | |
|---|---|---|
| (6) B&Bn=10, lx, ly=3,3, Rel. error=10^-22023.07 | 0.2 | |
| Algorithm 1n=10, lx, ly=3,3, Rel. error=10^-2, Strategy=Extreme point2023.07 | 1.2 | |
| Algorithm 1n=100, lx, ly=3,3, Rel. error=10^-2, Strategy=Extreme point2023.07 | 7 | |
| (6) B&Bn=100, lx, ly=3,3, Rel. error=10^-22023.07 | 10 | |
| Algorithm 1n=500, lx, ly=3,3, Rel. error=10^-2, Strategy=Extreme point2023.07 | 11 | |
| Algorithm 1n=10, lx, ly=3,3, Rel. error=10^-2, Strategy=B&B2023.07 | 22 | |
| Algorithm 1n=1000, lx, ly=3,3, Rel. error=10^-2, Strategy=Extreme point2023.07 | 25 | |
| MILP1n=10, lx, ly=3,3, Rel. error=10^-22023.07 | 72 | |
| Algorithm 1n=100, lx, ly=3,3, Rel. error=10^-2, Strategy=B&B2023.07 | 91 | |
| Algorithm 1n=2000, lx, ly=3,3, Rel. error=10^-2, Strategy=Extreme point2023.07 | 93 | |
| Algorithm 1n=500, lx, ly=3,3, Rel. error=10^-2, Strategy=B&B2023.07 | 161 | |
| Algorithm 1n=1000, lx, ly=3,3, Rel. error=10^-2, Strategy=B&B2023.07 | 176 | |
| Algorithm 1n=2000, lx, ly=3,3, Rel. error=10^-2, Strategy=B&B2023.07 | 578 |