Research Article
Aircraft Control Parameter Estimation Using Self-Adaptive Teaching-Learning-Based Optimization with an Acceptance Probability
Table 5
Top 10 best RMSE obtained from 20,000 initial solutions of data with and without noise obtained from OEM.
| No. | Without noise | Noise 5% | Noise 10% |
| 1 | 3.32E-15 | 0.1896 | 0.3911 | 2 | 1.16E − 14 | 0.4020 | 0.3911 | 3 | 0.4325 | 0.5277 | 0.3911 | 4 | 0.6074 | 0.8364 | 0.3911 | 5 | 0.7240 | 2.4400 | 0.3911 | 6 | 0.9079 | 2.5514 | 0.4594 | 7 | 0.9877 | 3.5373 | 0.4717 | 8 | 1.9814 | 3.5979 | 0.5643 | 9 | 2.1582 | 4.0832 | 0.6481 | 10 | 3.0534 | 5.1517 | 1.9992 | Best RMSE obtained from OEM | 3.32 E − 15 | 0.1896 | 0.3911 | Best RMSE obtained from SaTLBO-AP | 0.0024 | 0.1899 | 0.3960 | Average RMSE of the top 10 best obtained from OEM | 1.0853 | 2.3317 | 0.6098 | Average RMSE from SaTLBO-AP | 0.0195 | 0.1914 | 0.3994 |
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