Skip to main navigation Skip to search Skip to main content

Genetic-Algorithm-Based Method for Optimal Analog Test Points Selection

  • Silesian University of Technology

Research output: Contribution to journal › Article › peer-review

138 Citations (Scopus)

Abstract

A new approach to an optimal analog test points selection is proposed. The described method uses ambiguity set concept and evolutionary computations to determine the optimal set of analog test points. After a brief introduction to analog testing and genetic algorithms, the proposed strategy is explained. The presented evolutionary approach is illustrated by a practical example of analog circuit and by a series of hypothetical circuits. The efficiency of the technique is compared with a method based on entropy index, and the obtained results are discussed.

Original languageEnglish
Pages (from-to)117-121
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume54
Issue number2
DOIs
Publication statusPublished - Feb 2007

Keywords

  • Analog circuits
  • analog system testing
  • design for testability (DfT)
  • genetic algorithms (GAs)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Genetic-Algorithm-Based Method for Optimal Analog Test Points Selection'. Together they form a unique fingerprint.

Cite this