Research Article
Prediction of Drifter Trajectory Using Evolutionary Computation
Table 6
Results on parameters of DE.
| Parameter | Evaluation | Case | 1 | 5 | 6 | 7 |
| Strategy | | | | | | DE/best/1 | MAE | 0.1351 | 0.0761 | 0.0494 | 0.1308 | Euclid | 0.1772 | 0.1218 | 0.0840 | 0.1931 | NCLS | 0.8879 | 0.8153 | 0.8895 | 0.7627 | DE/rand/1 | MAE | 0.0920 | 0.0828 | 0.0392 | 0.0653 | Euclid | 0.15402 | 0.1342 | 0.0593 | 0.0956 | NCLS | 0.9025 | 0.7965 | 0.9220 | 0.8826 | DE/rand-to-best/1 | MAE | 0.0920 | 0.0828 | 0.0392 | 0.0653 | Euclid | 0.1540 | 0.1342 | 0.0593 | 0.0956 | NCLS | 0.9025 | 0.7965 | 0.9220 | 0.8826 | DE/best/2 | MAE | 0.0889 | 0.0842 | 0.0825 | 0.0966 | Euclid | 0.1337 | 0.1364 | 0.1259 | 0.1400 | NCLS | 0.9154 | 0.7854 | 0.8344 | 0.8280 | DE/rand/2 | MAE | 17.0368 | 9.6299 | 19.0175 | 2.8862 | Euclid | 27.0270 | 14.6791 | 28.9367 | 4.2267 | NCLS | −16.1006 | −21.0442 | −37.1143 | −4.1928 |
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Note. The lower the MAE and Euclidean values, the better. The higher the NCLS values, the better.
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