Table 5 Optimal parameters achieved by COWOA and other meta-heuristic algorithms for simulation instance3
From: Adaptive IIR model identification using chaotic opposition-based whale optimization algorithm
Parameter | Actual value | Estimated value | ||||
|---|---|---|---|---|---|---|
| Â | Â | BA [33] | PSO [33] | WOA | COWOA | GA [21] |
a0 | 1.00 | 0.9734 | 0.7114 | 1.0000 | 1.0000 | 1.0670 |
a1 | −0.90 | −0.7024 | −0.8393 | −0.8741 | −0.2908 | −0.7493 |
a2 | 0.81 | 0.7232 | 0.8438 | 0.1635 | 0.0652 | 0.7214 |
a3 | −0.729 | −0.5615 | −0.6521 | −0.0668 | −0.0704 | −0.4350 |
b1 | −0.04 | −0.2836 | −0.0618 | −0.0016 | −0.4623 | −0.2308 |
b2 | −0.2775 | −0.5084 | −0.5574 | −0.0102 | −0.0202 | −0.3064 |
b3 | 0.2101 | 0.0394 | 0.0021 | 0.0398 | 0.2589 | 0.1065 |
b4 | −0.14 | −0.1734 | −0.3692 | −0.0121 | −0.1004 | −0.0489 |