Designing Microwave Circuits Using Genetic Algorithms Accelerated by Convolutional Neural Networks

Takuma Akada, Kazuhiro Fujimori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reduction of solution search time of automatic design of an RF-DC conversion circuit by Genetic Algorithms (GA) is argued in this paper. Accelerating GA by Convolutional Neural Networks (CNN) is proposed. Already simulated circuits' patterns are learned by CNN and electromagnetic simulation in GA is partially replaced by it. This approach reduces circuit generating time by 90% compared to the general GA design method to generate an RF-DC conversion circuit with the same conversion efficiency.

Original languageEnglish
Title of host publication2020 50th European Microwave Conference, EuMC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-64
Number of pages4
ISBN (Electronic)9782874870590
DOIs
Publication statusPublished - Jan 12 2021
Event50th European Microwave Conference, EuMC 2020 - Utrecht, Netherlands
Duration: Jan 12 2021Jan 14 2021

Publication series

Name2020 50th European Microwave Conference, EuMC 2020

Conference

Conference50th European Microwave Conference, EuMC 2020
CountryNetherlands
CityUtrecht
Period1/12/211/14/21

Keywords

  • convolutional neural networks
  • genetic algorithms

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation

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