Cuckoo search-ExtraTrees model for Radio-frequency power amplifier under different temperatures

Jun Sun; Shaohua Zhou

doi:10.1515/freq-2024-0298

Article

Cuckoo search-ExtraTrees model for Radio-frequency power amplifier under different temperatures

Jun Sun and Shaohua Zhou

Published/Copyright: April 22, 2025

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From the journal Frequenz Volume 79 Issue 7-8

Abstract

This paper combines cuckoo search (CS) with ExtraTrees for the first time searching for the optimal hyperparameters and proposes the CS-ExtraTrees model. Based on the parasitic feeding behavior of cuckoo birds and the principle of Lévy flight enhancing random flying ability, CS can effectively search for the optimal parameters on a global scale. To verify the effectiveness of the CS-ExtraTrees model proposed in this paper, the CS-ExtraTrees model was used to model the measured data of the 2.5 GHz gallium nitride (GaN) power amplifier (PA). Compared with gradient boosting, random forest, and ExtraTrees, the CS-ExtraTrees proposed in this paper can significantly improve the modeling accuracy and modeling speed.

Keywords: cuckoo search (CS); ExtraTrees; modeling

Corresponding author: Shaohua Zhou, School of Integrated Circuits, Zhongyuan University of Technology, Zhengzhou, China, E-mail: zhoushaohua@zut.edu.cn

Jun Sun and Shaohua Zhou contributed equally to this work.

Funding source: Henan Provincial Science and Technology Research Project

Award Identifier / Grant number: 242102211100

Acknowledgments

This work was supported by the 2024 Henan Province Science and Technology Research Projects (No. 242102211100).

Research ethics: Not applicable.
Informed consent: Not applicable.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Use of Large Language Models, AI and Machine Learning Tools: None declared.
Conflict of interest: The authors state no conflict of interest.
Research funding: This work was supported by the 2024 Henan Province Science and Technology Research Projects (No. 242102211100).
Data availability: Not applicable.

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Received: 2024-09-20

Accepted: 2025-03-31

Published Online: 2025-04-22

Published in Print: 2025-08-26

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https://doi.org/10.1515/freq-2024-0298

Keywords for this article

cuckoo search (CS); ExtraTrees; modeling