Table 9 Optimal parameters achieved by COWOA and other meta-heuristic algorithms for simulation instance5
From: Adaptive IIR model identification using chaotic opposition-based whale optimization algorithm
Parameter | Actual value | Estimated value | ||||
|---|---|---|---|---|---|---|
| Â | Â | BA[22] | PSO[40] | WOA | COWOA | GA[21] |
a0 | 0.1084 | 0.4431 | 0.2484 | 0.1091 | 0.0396 | 0.5083 |
a1 | 0.5419 | 0.7004 | 0.3789 | 0.3724 | 0.4239 | 0.7449 |
a2 | 1.0837 | 1.0002 | 1.6960 | 0.5756 | 0.5689 | 1.0303 |
a3 | 1.0837 | 0.9737 | 1.4109 | 0.0119 | 0.0920 | 1.0714 |
a4 | 0.5419 | 0.8856 | 0.8467 | 0.0001 | 0.0001 | 0.7067 |
a5 | 0.1084 | 0.2998 | 0.2684 | 0.0007 | 0.0068 | 0.3578 |
b1 | −0.9853 | −0.8019 | −1.0628 | −0.0359 | −0.0277 | −0.6080 |
b2 | −0.9738 | −1.2101 | −0.7275 | −0.0036 | −0.0798 | −0.9316 |
b3 | −0.3864 | −0.4976 | −0.4842 | −0.0002 | −0.0961 | −0.3451 |
b4 | −0.1112 | −0.3405 | −0.3291 | −0.0003 | −0.0048 | −0.3382 |
b5 | −0.0113 | −0.0087 | −0.2238 | −0.0003 | −0.0078 | −0.1848 |