Table 7.

The impact of features descriptors on the performance of AOA against other recent optimizers over Recall measures

Recall	GT dataset			FEI dataset
Algorithms	HOG	LBP	GLCM	HOG	LBP	GLCM
HHO	0.9040	0.8747	0.9000	0.9875	0.9425	0.9900
SCA	0.8960	0.8693	0.8907	0.9850	0.9550	0.9900
EO	0.9067	0.8693	0.8987	0.9925	0.9475	0.9900
EPO	0.9040	0.8813	0.8960	0.9875	0.9400	0.9825
MRFO	0.9107	0.8707	0.8973	0.9950	0.9500	0.9925
HGSO	0.9000	0.8613	0.8880	0.9925	0.9400	0.9950
MVO	0.9080	0.8693	0.9040	0.9925	0.9450	0.9925
AOA	0.9040	0.8733	0.9080	0.9950	0.9475	0.9950