Genetic optimization of interval arithmetic-based worst case circuit tolerance analysis

Author

Femia, Nicola ; Spagnuolo, Giovanni

Author_Institution

Dipt. di Ingegneria dell´´Inf. ed Ingegneria Elettrica, Salerno Univ., Italy

Volume

46

Issue

12

fYear

1999

fDate

12/1/1999 12:00:00 AM

Firstpage

1441

Lastpage

1456

Abstract

A new approach for improving the efficiency and accuracy of interval arithmetic (IA) based worst case (WC) circuit tolerance analysis (TA) is presented in this paper. The partitioning of the parameters´ tolerance/uncertainty ranges, which is necessary to increase the accuracy of IA-based computations, is optimized by means of a genetic algorithm (GA). It is shown that the IA-GA approach permits us to solve problems of small-change (SC) as well as large-change (LC) WC circuit TA, accurately and reliably. Several applications to the analysis of circuits with uncertain parameters are presented and discussed

Keywords

arithmetic; circuit optimisation; genetic algorithms; tolerance analysis; genetic algorithm; interval arithmetic; large-change analysis; optimization; small-change analysis; worst case circuit tolerance analysis; Arithmetic; Circuit analysis; Computer aided software engineering; Genetic algorithms; Optical wavelength conversion; Sensitivity analysis; Statistical distributions; Stress; Tolerance analysis; Uncertainty;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.809546

Filename

809546