Adaptive hierarchical multi-objective fuzzy optimization for circuit design

Author

Rodrigues, B.R.S. ; Styblinski

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

fYear

1993

fDate

3-6 May 1993

Firstpage

1813

Abstract

The outline of a methodology for adaptive hierarchical multiobjective function optimization in a fuzzy sense is presented, suitable for circuit optimization and able to mimic to some extent the designer´s interactive circuit design process. It is an effort to generalize and go beyond the Taguchi methodology of variability-then-target optimization with the addition of automated selection of optimization variables. The methodology allows for the simultaneous and/or sequential optimization of an arbitrary number of statistical measures of an arbitrary number of circuit performances

Keywords

circuit optimisation; fuzzy set theory; integrated circuit design; adaptive function optimisation; circuit design; circuit optimization; fuzzy sense; hierarchical multi-objective fuzzy optimization; interactive circuit design process; optimization variables; sequential optimization; statistical measures; Active circuits; Circuit optimization; Circuit synthesis; Delay; Design optimization; Fuzzy set theory; Gain measurement; Optimization methods; Performance evaluation; Process design;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.394098

Filename

394098