Table 11.
The performance results of AOA based on LBP descriptor against other recent optimizers for Gallagher’s dataset
| Gallagher’s dataset – LBP Descriptor | |||||||
|---|---|---|---|---|---|---|---|
| Algorithms | Fitness | Accuracy | Recall | Precision | Fscore | Selection R | CPU tiime |
| HHO | 0.9364 | 0.9419 | 0.9475 | 0.9482 | 0.9475 | 0.6122 | 1564.6520 |
| SCA | 0.9506 | 0.9528 | 0.9550 | 0.9578 | 0.9550 | 0.2653 | 745.7800 |
| EO | 0.8754 | 0.8742 | 0.8693 | 0.8744 | 0.8708 | 0.3061 | 6460.6420 |
| EPO | 0.9461 | 0.9481 | 0.9500 | 0.9503 | 0.9500 | 0.3878 | 615.9800 |
| MRFO | 0.9383 | 0.9422 | 0.9450 | 0.9504 | 0.9463 | 0.4490 | 615.8400 |
| HGSO | 0.9192 | 0.9233 | 0.9275 | 0.9287 | 0.9276 | 0.4898 | 6460.6400 |
| MVO | 0.9310 | 0.9342 | 0.9375 | 0.9383 | 0.9375 | 0.3878 | 1449.0000 |
| AOA | 0.9592 | 0.9608 | 0.9625 | 0.9626 | 0.9625 | 0.2041 | 391.6900 |