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