| dc.description.abstract | : Schottky barrier diodes (SBD) are crucial in the electronics sector. The electronic properties
of SBD are characterized by three basic electrical parameters as the ideality factor (n), barrier height
(ΦSB) and series resistance (RS). These parameters are significant in designing and producing SBD.
This paper presents a comprehensive review of metaheuristic optimization techniques used to de termine the fundamental electrical parameters of SBD using experimental forward current–voltage
(I-V) characteristics. In the study, popular meta-heuristic optimization techniques, such as GA, PSO,
ALO, EO, DA, HHO, GWO, WOA, MFO, MVO, and SCA algorithms, are employed for the parameter
estimation of SBD. Among these chosen algorithms, meta-heuristic optimization techniques, such
as GWO, WOA, HHO and AHA, have been used for the first time in the literature for parameter
estimation of SBD. Firstly, parameter values have been calculated using experimental (I-V) character istics. Following that, the findings were compared to the values that had been estimated utilizing
optimization techniques. Moreover, the performance of meta-heuristic optimization algorithms in
determining the basic parameters of SBD was evaluated statistically. Results show that AHA has
higher and symmetrical estimation performance than other presented algorithms in determining the
basic parameters of SBD with R
2 = 0.999925806, MAE = 2.79065 × 10−7
, RMSE = 7.49521 × 10−7
,
RE = 0.422088668, and STD = 7.68031 × 10−7
statistical values | tr |
