Research Article
Application of Improved Manta Ray Foraging Optimization Algorithm in Coverage Optimization of Wireless Sensor Networks
Table 1
Test function information.
| No. | Function name | Function formula | D | Range | Optimum |
| F1 | Bent cigar | F1(x) = | 50/500 | [−100, 100] | 0 | F2 | Sum of different power | F2(x) = | 50/500 | [−100, 100] | 0 | F3 | Zakharov | F3(x) = | 50/500 | [−100, 100] | 0 | F4 | High conditioned | F4(x) = | 50/500 | [−100, 100] | 0 | F5 | Griewank’s | F5(x) = | 50/500 | [−100, 100] | 0 | F6 | Rastrigin | F6(x) = | 50/500 | [−100, 100] | 0 | F7 | Expanded Schaffer’s | F7(x) = | | | | | | y(u, ) = | 50/500 | [−100, 100] | 0 | F8 | Noncontinuous rotated Rastrigin’s | F8(x) = yi = | 50/500 | [−100, 100] | 0 | F9 | Rosenbrock’s | F9(x) = | 50/500 | [−100, 100] | 0 | F10 | Discus | F10(x) = | 50/500 | [−100, 100] | 0 | F11 | Ackley | F11(x) = | 50/500 | [−100, 100] | 0 | F12 | Schaffer’s F7 | F12(x) = | 50/500 | [−100, 100] | 0 | F13 | Foxholes | F13(x) = | 2 | [−65, 65] | 1 | F14 | Schkel | F14(x) = | 4 | [0, 10] | −10.5363 | F15 | Six-hump camel | F15(x) = | 2 | [−5, 5] | −1.0316 |
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