Machine learning-based design automation of CMOS analog circuits using SCA-mGWO algorithm

Machine learning-based design automation of CMOS analog circuits using SCA-mGWO algorithm

Analog circuit design is comparatively more complex than its digital counterpart due to its nonlinearity and low level of abstraction. This study proposes a novel low-level hybrid of the sine-cosine algorithm (SCA) and modified greywolf optimization (mGWO) algorithm for machine learning-based design...

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Bibliographic Details
Main Authors: Vijaya Babu E, Syamala Y
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2022-10-01
Series:ETRI Journal
Subjects:
algorithm
analog circuits
design automation
machine learning
optimization
Online Access:https://doi.org/10.4218/etrij.2021-0203

Internet

https://doi.org/10.4218/etrij.2021-0203

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