Research Article
A Chaotic Multi-Objective Runge–Kutta Optimization Algorithm for Optimized Circuit Design
Table 8
Results for optimized circuit design.
| | OBJFNC | CMRUN | MOEAD | MOPSO | NSGA-II | MOFA | MOBA | SPEA-2 | MOCS | MOFPA | MOMA | NSGA-II/MOPSO | NSMFO |
| | Noise | 227.202 | 227.507 | 258.2846 | 227.9789 | 227.6274 | 235.7833 | 227.763 | 227.9251 | 227.7534 | 227.2536 | 227.4659 | 229.0733 | | Distortion | 0.0508 | 0.07429 | 0.004399 | 0.079716 | 0.0002 | 0.0002 | 0.000193 | 0.0002 | 0.0002 | 0.056177 | 0.000156 | 0.0002 | | Pareto sum | 227.2528 | 227.5813 | 258.289 | 228.0586 | 227.6276 | 235.7835 | 227.7632 | 227.9253 | 227.7536 | 227.3097 | 227.4661 | 229.0735 |
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Bold values are the best results (lowest) obtained for circuit optimization.
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