Automated sizing of analog circuits based on genetic algorithm with parameter orthogonalization procedure

Masanori Natsui, Yoshiaki Tadokorot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents a method for the automated sizing of analog circuits using genetic algorithm (GA). For the rapid and efficient exploration of GA, we introduce the idea of search space sphering and dimension reduction with principal component analysis (PCA). The potential capability of the system is demonstrated through the automated sizing of wide-swing current mirror circuit. Experimental results show that the system with PCA successfuly generates higher-performance circuits under given evaluation function on average, and the dimensionally reduction method further improves the performance of solutions.

Original languageEnglish
Title of host publicationICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
Pages193-199
Number of pages7
Publication statusPublished - 2008
EventICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics - Funchal, Madeira, Portugal
Duration: 2008 May 112008 May 15

Publication series

NameICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
VolumeICSO

Conference

ConferenceICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics
Country/TerritoryPortugal
CityFunchal, Madeira
Period08/5/1108/5/15

Keywords

  • Analog circuits
  • Circuit synthesis
  • Evolutionary computation
  • Genetic algorithms
  • Principal component analysis

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