Efficient Iterative Process based on an Improved Genetic Algorithm for Decoupling Capacitor Placement at Board Level

Author:

de Paulis ,Cecchetti ,Olivieri ,Piersanti ,Orlandi ,Buecker

Abstract

To reduce the noise created by a power delivery network, the number, the value of decoupling capacitors and their arrangement on the board are critical to reaching this goal. This work deals with specific improvements, implemented on a genetic algorithm, which used for the optimization of the decoupling capacitors in order to obtain the frequency spectrum of the input impedance in different positions on the network, below previously defined values. Measurements are performed on a specifically manufactured board in order to validate the effectiveness of the proposed algorithm and the optimization results obtained for a specific example board.

Funder

Google

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference40 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Iterative Placement of Decoupling Capacitors using Optimization Algorithms and Machine Learning;Advances in Radio Science;2024-08-20

2. Enhancing EfficientNet-YOLOv4 for Integrated Circuit Detection on Printed Circuit Board (PCB);IEEE Access;2024

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4. Digital Economic Dispatch System Based on Improved Genetic Algorithm;Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1;2023

5. A Modified Genetic Algorithm for the Selection of Decoupling Capacitors in PDN Design;2021 IEEE International Joint EMC/SI/PI and EMC Europe Symposium;2021-07-26

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