This article is cited in 13 papers

Spectroscopy, interaction with radiation

Optimal estimation of Schottky diode parameters using advanced swarm intelligence algorithms

A. Rabehi^ab, B. Nail^b, H. Helal^a, A. Douara^b, A. Ziane^a, M. Amrani^a, B. Akkal^a, Z. Benamara<sup>a

a</sup> Laboratoire de Micro-électronique Appliquée, Université Djillali Liabés de Sidi Bel Abbès, BP 89, 22000, Sidi Bel Abbès, Algeria
^b Institute of Science and Technology, Tissemsilt University Center, 38000 Tissemsilt, Algeria

Abstract: This work deals with estimation of the Schottky diode (Au|GaN|GaAs) optimal parameters. For this purpose, advanced swarm intelligence (SI) algorithms have been applied, i. e., Harris hawks optimization, ant lion optimizer (ALO), grey wolf optimizer, and whale optimization algorithm. The performance of the SI algorithms has been investigated by a comparative study following the analytical methods developed by Kaminski I, Cheung and Cheung, Norde, and Mikhelashvili. The comparative results show that the ALO algorithm gives minimum RMSE criteria, with best parameters estimation against all the SI optimizers and the analytical techniques.

Keywords: Schottky diodes, Au|GaN|GaAs, swarm intelligence algorithms, parameters estimation, barrier height.

Received: 11.05.2020
Revised: 11.05.2020
Accepted: 06.07.2020

Language: English

 English version: Semiconductors, 2020, 54:11, 1398–1405