A fuzzy selection based constraint handling method for multi-objective optimization of analog cells

Author

Liu, Bo ; Fernández, Francisco V. ; Gao, Peng ; Gielen, Georges

Author_Institution

ESAT-MICAS, Katholieke Univ. Leuven, Leuven, Belgium

fYear

2009

Firstpage

611

Lastpage

614

Abstract

In this paper, a constraint handling technique for multi-objective optimization of analog cells is presented. Selection-based constraint handling and fuzzy membership functions are combined to construct a new constraint handling method, multi-objective fuzzy selection (MOFS). This is integrated with multi-objective sizing, which has the following two advantages: (1) enhances the effectiveness and efficiency of handling specifications distinctly; (2) specializes in solving multi-objective analog sizing problems mimicking the designer´s interactive design process, avoiding inflexibility of crisp constraint sizing methods.

Keywords

fuzzy set theory; integrated circuit design; analog cells; constraint sizing methods; fuzzy membership functions; fuzzy selection based constraint handling method; interactive design process; multi-objective analog sizing; multi-objective fuzzy selection; multi-objective optimization; multi-objective sizing; Analog integrated circuits; Circuit optimization; Circuit simulation; Constraint optimization; Design optimization; Fuzzy control; Process design; Scholarships; Sensitivity analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit Theory and Design, 2009. ECCTD 2009. European Conference on

Conference_Location

Antalya

Print_ISBN

978-1-4244-3896-9

Electronic_ISBN

978-1-4244-3896-9

Type

conf

DOI

10.1109/ECCTD.2009.5275048

Filename

5275048