Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 3
Comparison of HGDGWO vs. GWO on runtime in seconds.
| | Timing in seconds | GWO | HGDGWO |
| F1 | 0.070489 | 0.282311792 | F2 | 0.077059 | 0.365259492 | F3 | 0.202226 | 2.946722992 | F4 | 0.072127 | 0.392969492 | F5 | 0.097035 | 0.375596492 | F6 | 0.060202 | 0.224753292 | F7 | 0.083923 | 0.723214392 | F8 | 0.065475 | 0.359746292 | F9 | 0.060371 | 0.267976592 | F10 | 0.063073 | 0.323171992 | F11 | 0.069045 | 0.410546392 | F12 | 0.13222 | 1.664266292 | F13 | 0.179679 | 2.283567892 | F14 | 0.36951 | 0.539720892 | F15 | 0.050027 | 0.093108092 | F16 | 0.057001 | 0.116811892 | F17 | 0.073093 | 0.115498092 | F18 | 0.065085 | 0.080321992 | F19 | 0.056733 | 0.106442192 | F20 | 0.057225 | 0.145887392 | F21 | 0.080076 | 0.202839092 | F22 | 0.092606 | 0.244222492 | F23 | 0.111739 | 0.314955192 |
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