Identification of continuous-time hammerstein model using improved archimedes optimization algorithm

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Identification of continuous-time hammerstein model using improved archimedes optimization algorithm

Although various optimization algorithms have been widely employed in multiple applications, the traditional Archimedes optimization algorithm (AOA) has presented imbalanced exploration with exploitation phases and the propensity for local optima entrapment. Therefore, this article identified variou...

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Bibliographic Details
Main Authors:	Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad, Cho, Bo Wen
Format:	Article
Language:	English English
Published:	KeAi Communications Co. 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/42713/ http://umpir.ump.edu.my/id/eprint/42713/1/1-s2.0-S2666307424000378-main.pdf http://umpir.ump.edu.my/id/eprint/42713/7/Identification%20of%20continuous-time%20Hammerstein%20model.pdf

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