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

Table 5

Unimodal benchmark functions.

Name	CSO		GWO		HHO
	AV	STD	AV	STD	AV	STD
Sphere	1.10132E − 12	2.17067E − 12	8.32056E − 62	2.01043E − 61	5.75505E − 96	1.21415E − 95
Schwefel 2.22	5.5237E − 112	1.5496E − 111	8.74E − 99	0	1.11321E − 48	1.51435E − 48
Schwefel 2.21	1.4406E − 111	6.7475E − 111	1.26E − 105	0	2.95204E − 51	6.83343E − 51
Camel3	0	0	0	0	1.1048E − 107	2.3653E − 107
Ackley2	−200	0	−200	0	−200	0
Bohachevskyn N. 1	0	0	0	0	0	0
Booth	0	0	1.54098E − 07	1.11392E − 07	2.36488E − 05	2.5515E − 05
Trid	−50	0	−49.99989	8.03012E − 05	−1367.28225	4.374233259
Zakharov	7.9142E − 221	0	0	0	9.5294E − 47	2.13084E − 46
Drop Wave	−0.98496333	0.027373716	−0.99574666	0.016186579	−1	0
Schwefel 2.23	0	0	0	0	0	0
Schwefel 2.20	1.0876E − 111	5.4846E − 111	3.21E − 88	0	3.48466E − 47	4.72514E − 47
Powell	0.001705466	0.001128045	4.94865E − 07	6.09827E − 07	4.9489E − 104	7.662E − 104
PowerSum	0.051633374	0.070129514	0.106802381	0.261322987	1.4218E − 131	2.4194E − 131
Rosenbrock	7.610173333	21.01106746	26.74104667	0.704408086	0.008242153	0.010289518