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. 2022 Mar 2;26(19):10435–10464. doi: 10.1007/s00500-022-06886-3

Table 10.

The performance results of AOA based on HOG descriptor against other recent optimizers for Gallagher’s dataset

Gallagher’s dataset – HOG Descriptor
Algorithms Fitness Accuracy Recall Precision Fscore Selection R CPU tiime
HHO 0.9336 0.9405 0.9476 0.9477 0.9476 0.5510 18317.6000
SCA 0.9125 0.9137 0.9165 0.9143 0.9152 0.4490 19271.4500
EO 0.9387 0.9405 0.9416 0.9426 0.9420 0.4898 8490.3050
EPO 0.9100 0.912 0.9130 0.9144 0.9136 0.5306 16416.4600
MRFO 0.9451 0.9501 0.9549 0.9553 0.9550 0.5306 9257.9900
HGSO 0.9167 0.9183 0.9212 0.9198 0.9204 0.4898 1449.6810
MVO 0.9169 0.9196 0.9202 0.9230 0.9213 0.5918 1319.9640
AOA 0.9515 0.9551 0.9600 0.9583 0.9588 0.4082 573.8000