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

Table 4.

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

CPU time GT dataset FEI dataset
Algorithms HOG LBP GLCM HOG LBP GLCM
HHO 446.6000 466.0300 363.8200 249.3200 295.8900 258.3600
SCA 301.8600 211.4300 264.7200 181.5400 118.8400 144.1000
EO 324.7700 182.8200 221.4100 250.8200 214.4500 295.8000
EPO 285.5800 272.2800 324.0800 248.1200 126.0400 211.3700
MRFO 301.8600 445.4700 468.4100 302.8600 226.5200 218.7900
HGSO 454.8300 398.6100 312.1300 282.4900 199.3700 229.3200
MVO 368.0900 430.3200 369.4800 375.0500 272.1800 229.4900
AOA 391.3700 332.3200 388.8600 197.0700 231.6700 340.9200