Effective PCB Decoupling Optimization by Combining an Iterative Genetic Algorithm and Machine Learning

Effective PCB Decoupling Optimization by Combining an Iterative Genetic Algorithm and Machine Learning

An iterative optimization for decoupling capacitor placement on a power delivery network (PDN) is presented based on Genetic Algorithm (GA) and Artificial Neural Network (ANN). The ANN is first trained by an appropriate set of results obtained by a commercial simulator. Once the ANN is ready, it is...

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Bibliographic Details
Main Authors: Riccardo Cecchetti, Francesco de Paulis, Carlo Olivieri, Antonio Orlandi, Markus Buecker
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
machine learning
artificial neural network
decoupling capacitors
power delivery network
genetic algorithm
twin removal
Online Access:https://www.mdpi.com/2079-9292/9/8/1243

Internet

https://www.mdpi.com/2079-9292/9/8/1243

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