Research Article
Comparison of Bioinspired Techniques for Tracking Maximum Power under Variable Environmental Conditions
Table 1
Literature review based on RMSE.
| Reference | Year | Method | Finding | RMSE |
| [18] | 2021 | ABC and P and O | ABC archives a much superior performance than P and O | RMSE ABC = 0.72, P and O = 0.919 |
| [20] | 2023 | TLABC, PSO, and ABC | TLABC < PSO < ABC | MAE = 0.13 Efficiency = 99.89% |
| [15] | 2022 | PSO, CSA, GWO, MFO, WOA, SSA, and GOA | RMSE of GOA and WOA is less than the rest of the algorithms, which means that the power tracked by these algorithms is dense around the GMPP | RMSE GOA = 3.9 SSA = 8.8 WOA = 3.9 MFO = 8.5 GWO = 6.8 CSA = 11 PSO = 11.6 |
| [14] | 2020 | ACO, GA, and PSO | PSO-based optimization attains higher tracking efficiency than GA | RMSE ACO = 0.0021 GA = 0.0010 PSO = 0.0012 |
| [33] | 2022 | DGBCO, DFO, ABC, CS, and PSO | DGBCO < DFO < ABC < CS < PSO | RMSE DGBCO = 0.55 DFO = 0.588 ABC = 0.771 CS = 0.877 PSO = 0.947 |
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