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.

中文翻译：

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基于高级群智能算法的肖特基二极管参数最优估计

这项工作涉及肖特基二极管（Au | GaN | GaAs）最佳参数的估算。为此，已经应用了高级群智能（SI）算法，即Harris霍克斯优化，蚁群优化器（ALO），灰太狼优化器和鲸鱼优化算法。根据Kaminski I，Cheung和Cheung，Norde和Mikhelashvili开发的分析方法，通过比较研究对SI算法的性能进行了研究。比较结果表明，ALO算法给出了最低的RMSE标准，并且针对所有SI优化器和分析技术均具有最佳的参数估计。