DocumentCode
3333700
Title
Decomposition-based multi-objective optimization of second-generation current conveyors
Author
Guerra-Gómez, I. ; Tlelo-Cuautle, E. ; McConaghy, T. ; Gielen, G.
Author_Institution
Dept. of Electron., INAOE, Tonantzintla, Mexico
fYear
2009
fDate
2-5 Aug. 2009
Firstpage
220
Lastpage
223
Abstract
An optimization system which uses the multi-objective evolutionary algorithm based on decomposition (MOEA/D) is presented for sizing second generation current conveyors (CCIIs). The proposed optimization system uses HSPICE as circuit evaluator and its usefulness is highlighted by sizing two CCIIs, which are optimized in voltage and current modes in three parameters: gain, bandwidth and offset, and including as constraint that all transistors are in saturation operation.
Keywords
SPICE; current conveyors; evolutionary computation; optimisation; HSPICE; circuit evaluator; decomposition-based multiobjective optimization; multiobjective evolutionary algorithm; second-generation current conveyor; Analog circuits; Bandwidth; Circuit topology; Constraint optimization; Design automation; Design optimization; Electronic design automation and methodology; Evolutionary computation; System-on-a-chip; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
Conference_Location
Cancun
ISSN
1548-3746
Print_ISBN
978-1-4244-4479-3
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2009.5236112
Filename
5236112
Link To Document