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. 2022 Jul 25;56(3):2563–2605. doi: 10.1007/s10462-022-10233-1

Table 17.

The best estimated parameters and their corresponding RMSE values of various algorithms

Algorithm Iph (A) Isd (μA) RS (Ω) Rsh (Ω) n RMSE
CLPSO (Liang et al. 2006) 0.7608 0.34302 0.0361 54.1965 1.4873 9.9633E-04
DE-BBO (Gong et al. 2010) 0.7605 0.32477 0.0364 55.2627 1.4817 9.9922E-04
BSA (Civicioglu 2013) 0.7609 0.37749 0.0358 56.5266 1.4970 1.0398E-03
GOTLBO (Chen et al. 2016) 0.7608 0.32970 0.0363 53.3664 1.4833 9.8856E-04
IBSA (Nama et al. 2017) 0.7607 0.35502 0.0361 58.2012 1.4907 1.0092E-03
GWOCS (Long et al. 2020a) 0.760773 0.32192 0.03639 53.6320 1.4808 9.8607E-04
EABOA (Long et al. 2021a) 0.760771077 0.322929 0.036379593 53.76600144 1.481153457 9.8602E-04
HHO (Heidari et al. 2019) 0.7599465 0.358115 0.0373477 82.48671 1.4912567 2.4122E-03
VGHHO 0.7607549 0.324388 0.0363521 53.94424 1.4816135 9.8628E-04