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 :
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