Table 12.

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

	Gallagher’s Dataset – GLCM Descriptor
Algorithms	Fitness	Accuracy	Recall	Precision	Fscore	Selection R	CPU tiime
HHO	0.9425	0.9475	0.9525	0.9533	0.9524	0.5510	1861.5200
SCA	0.9486	0.9505	0.9525	0.9535	0.9525	0.2449	1106.1770
EO	0.9470	0.9501	0.9520	0.9530	0.9520	0.4490	1566.2000
EPO	0.9408	0.9441	0.9475	0.9486	0.9475	0.3878	1600.2400
MRFO	0.9445	0.9457	0.9495	0.9496	0.9495	0.5714	1560.8800
HGSO	0.9417	0.9452	0.9500	0.9483	0.9488	0.4082	453.2250
MVO	0.9437	0.9493	0.9524	0.9534	0.9525	0.6122	2045.6700
AOA	0.9482	0.9503	0.9525	0.9537	0.9525	0.2653	406.5800