Flexible Automatic Design of GaN PA Based on Gaussian Process-Assisted Non-Dominated Sorting Genetic Algorithm

This paper introduces a new method for designing power amplifiers (PAs) using a flexible, automatic approach. It employs a Gaussian process-assisted fast non-dominated sorting genetic algorithm (GP-NSGA-II) for both circuit synthesis and layout optimization. Traditional genetic algorithms are comput...

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Vydané v:	IEEE transactions on computer-aided design of integrated circuits and systems s. 1
Hlavní autori:	Wang, Weiwei, Sun, Bingjie, Chen, Shichang, Xu, Kuiwen, Cai, Jialin, Raffo, Antonio, Donato, Nicola, Crupi, Giovanni, Wang, Gaofeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Bayes methods Convergence Electronic design automation gallium nitride Genetic algorithms Heuristic algorithms Layout layout automation Machine learning algorithms non-dominated sorting genetic algorithm Optimization power amplifier Power amplifiers Power generation Radio frequency
ISSN:	0278-0070, 1937-4151
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