Research Article
Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model
Table 3
Unimodal benchmark functions.
| Function | Equation | Test name | D | Range | Opt |
| F1 | | Sphere | 30 | −100, 100 | 0 | F2 | | Schwefel 2.22 | 2 | −100, 100 | 0 | F3 | | Schwefel 2.21 | 2 | −100, 100 | 0 | F4 | | Three-Hump Camel | 2 | −5, 5 | 0 | F5 | | Ackley 2 | 2 | −32, 32 | −200 | F6 | | Bohachevskyn N.1 | 2 | −100, 100 | 0 | F7 | =( + )2+(2 +x2 −5)2 | Booth | 2 | −10, 10 | 0 | F8 | | Trid | 6 | −36, 36 | −50 | F9 | | Zakharov | 2 | −5.12, 5.12 | 0 | F10 | | Drop Wave | 2 | −4.5, 4.5 | −1 | F11 | = | Schwefel 2.23 | 2 | −100, 100 | 0 | F12 | = | Schwefel 2.20 | 2 | −100, 100 | 0 | F13 | | Powell | 10 | −4, 5 | 0 | F14 | | PowerSum | 4 | 0, 4 | 0 | F15 | = | Rosenbrock | 30 | −2.048, 2.048 | 0 |
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