Research Article
A Chaotic Multi-Objective Runge–Kutta Optimization Algorithm for Optimized Circuit Design
Table 7
Comparison results of the 10 chaotic maps for optimized circuit design.
| | OBJFNC | Chebyshev | Circle | Gauss | Iterative | Logistic | Piecewise | Sine | Singer | Sinuisodal | Tent |
| | Noise | 227.202 | 227.3447 | 227.4031 | 227.1816 | 227.1996 | 227.3783 | 227.2442 | 227.3169 | 227.2086 | 227.2878 | | Distortion | 0.0508 | 0.0003 | 0.0539 | 0.0525 | 0.0552 | 0.0515 | 0.0468 | 0.0487 | 0.0463 | 0.0479 | | Pareto sum | 227.2528 | 227.345 | 227.457 | 227.2341 | 227.2548 | 227.4298 | 227.291 | 227.3656 | 227.2549 | 227.3357 |
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Bold values are the best results (lowest) obtained for circuit optimization.
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