DocumentCode :
3024353
Title :
PyCO: A parallel genetic algorithm optimization tool for analog circuits
Author :
Rabuske, Taimur G. ; Pinheiro, Renan B. ; Fernandes, Jorge ; Rodrigues, Cesar R.
Author_Institution :
Microelectron. Group, Fed. Univ. of Santa Maria (UFSM), Santa Maria, Brazil
fYear :
2012
fDate :
20-23 May 2012
Firstpage :
3266
Lastpage :
3269
Abstract :
Analog designers are challenged by increasingly complex device models and lowered signal swing as the CMOS processes scale. At the same time, new trends and emerging technologies pose tighter design constraints. However, the cheap computational resources nowadays enable the use of the mature electrical simulators and device models in simulation-in-a-loop optimization techniques. In this work, we present a flexible circuit optimization tool for analog designs which relies on evolutionary algorithms. Moreover, we employ logistic functions to determine the fittest individuals. The benchmarking test shows that the program is able to dimension an operational transconductance amplifier (OTA) based on the topology netlist in less than 15 minutes, without resorting to any knowledge base, initial guess or simplified models. The achieved performance suggests that the tool may be integrated in an existing design flow with huge benefits.
Keywords :
CMOS integrated circuits; analogue integrated circuits; circuit optimisation; genetic algorithms; integrated circuit design; network topology; operational amplifiers; parallel algorithms; CMOS processes scale; OTA; PyCO; analog circuits; benchmarking test; cheap computational resources; complex device models; electrical simulators; evolutionary algorithms; flexible circuit optimization tool; knowledge base; logistic functions; operational transconductance amplifier; parallel genetic algorithm optimization tool; pose tighter design constraints; signal swing; simulation-in-a-loop optimization techniques; topology netlist; Analog circuits; Circuit optimization; Computational modeling; Genetic algorithms; Logistics; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
ISSN :
0271-4302
Print_ISBN :
978-1-4673-0218-0
Type :
conf
DOI :
10.1109/ISCAS.2012.6272022
Filename :
6272022
Link To Document :
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