Table 1 Optimal parameters achieved by COWOA and other meta-heuristic algorithms for simulation instance1
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 | −0.20 | −0.2021 | −0.1688 | −0.2633 | −0.2009 | −0.2258 |
a1 | −0.40 | −0.4071 | −0.4388 | −0.6530 | −0.6268 | −0.2717 |
a2 | 0.50 | 0.4939 | 0.4283 | 0.2208 | 0.1016 | 0.4643 |
b1 | 0.60 | 0.5804 | 0.5000 | 0.4253 | 0.3924 | 0.7742 |
b2 | −0.25 | −0.2494 | −0.2508 | −0.4241 | −0.4076 | −0.4379 |
b3 | 0.20 | 0.1908 | 0.1812 | 0 .0936 | 0.1825 | 0.3206 |