Research Article

Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model

Table 6

Multimodal benchmark functions.

NameCSOGWOHHO
AVSTDAVSTDAVSTD

Ackley8.8818E − 164.01173E − 318.8818E − 164.01173E − 31−8.8818E − 160
Quartic0.0312533330.0183741150.0009716880.0009025190.0004455530.000297211
6-Hump Camel−1.03166.77522E − 16−1.0316284484.31084E − 09−1.03160
Branin0.397900.3978878525.97628E − 070.3979466679.81495E − 05
Goldstein303.0000078819.28286E − 0630
Hart3−3.86283.16177E − 15−3.86208120.001938044−3.8546833330.008125864
Hert6−3.32241.35504E − 15−3.2642539120.099876517−2.93110.07435459
Ackley3−195.6295.78152E − 14−195.62902822.8506E − 08−186.41120
Bohachevskyn N. 2000000
Bird−106.76457.2269E − 14−106.11606833.551734418−106.7645−106.7645
Cross_in_Tiny−2.062610−2.0626118693.30268E − 09−2.06260
Easom−10−10−0.999988.16497E − 06
Keane−0.67371.1292E − 16−0.67371.1292E − 16−0.673670
Holder−19.20853.61345E − 15−19.208492518.17787E − 06−19.20850
Michalewics−1.80136.77522E − 16−1.80136.77522E − 16−1.80130