Sizing mixed-mode circuits by multi-objective evolutionary algorithms

Author

Guerra-Gómez, I. ; Tlelo-Cuautle, E. ; McConaghy, Trent ; de la Fraga, Luis G. ; Gielen, Georges ; Reyes-Salgado, G. ; Munoz-Pacheco, J.M.

Author_Institution

Dept. of Electron. Mexico, INAOE, Mexico City, Mexico

fYear

2010

Firstpage

813

Lastpage

816

Abstract

We show the behavior of the generations of two multi-objective evolutionary algorithms (MOEAs) for the optimal sizing of two mixed-mode circuits. The non-sorting genetic algorithm (NSGA-II), and the MOEA based on decomposition (MOEA/D) are used to size a second generation current conveyor (CCII+) and a current-feedback operational amplifier (CFOA). Both MOEAs take into account design constraints, and link HSPICE to evaluate the electrical characteristics of the CCII+ and CFOA. Differential evolution is used as genetic operator to show the behavior of the generations of the two MOEAs.

Keywords

SPICE; circuit feedback; circuit optimisation; current conveyors; differential equations; evolutionary computation; integrated circuit design; mixed analogue-digital integrated circuits; operational amplifiers; HSPICE; NSGA-II; current-feedback operational amplifier; design constraint; differential evolution; electrical characteristics; genetic operator; mixed-mode circuit; multiobjective evolutionary algorithm; nonsorting genetic algorithm; optimal sizing; second generation current conveyor; Analog circuits; Analog integrated circuits; Carbon capture and storage; Computer science; Consumer electronics; Design automation; Electric variables; Evolutionary computation; Genetic algorithms; Operational amplifiers;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on

Conference_Location

Seattle, WA

ISSN

1548-3746

Print_ISBN

978-1-4244-7771-5

Type

conf

DOI

10.1109/MWSCAS.2010.5548688

Filename

5548688