Automatic Optimization of Robust Analog CMOS ICs: An Interactive Genetic Algorithm Driven by Human Knowledge

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dc.contributor.authorDE LIMA MORETO, R. A.
dc.contributor.authorTHOMAZ, C. E.
dc.contributor.authorSalvador Gimenez
dc.date.accessioned2022-01-12T21:56:56Z
dc.date.available2022-01-12T21:56:56Z
dc.date.issued2018-08-31
dc.description.abstractSince the optimization of analog Complementary Metal-Oxide-Semiconductor (CMOS) integrated circuits (ICs) is strongly affected by designers' experience, this paper proposes and implements an interactive genetic algorithm (iGA) computational tool with in-loop robustness analyses (corner and Monte Carlo) to perform an optimization process of operational transconductance amplifiers (OTAs) driven by human knowledge. We performed experimental studies to evaluate the optimization cycle time (OCT) and robustness of an operational transconductance amplifier (OTA), by using the iGA. Ten volunteers have participated of these studies, in which five participants were experienced designers and the remaining five were non-experienced designers of analog CMOS ICs. Our experimental results have shown that the iGA is capable of reducing the OCT in about 86% in relation to the evolution process by using a non-interactive standard GA. More interestingly, both volunteers' teams have obtained similar OCTs and OTAs' robustness, indicating that iGA might be helpful not only to avoid the common optimization issue of local minima due to the human interaction with the computational tool (iMTGSPICE), but also it is capable of producing similar results in terms of OCTs and OTA's robustness.
dc.identifier.citationDE LIMA MORETO, R. A.; THOMAZ, C. E.; GOMENEZ, S. Automatic Optimization of Robust Analog CMOS ICs: An Interactive Genetic Algorithm Driven by Human Knowledge. 31st Symposium on Integrated Circuits and Systems Design, SBCCI 2018. Aug. 2018.
dc.identifier.doi10.1109/SBCCI.2018.8533268
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3759
dc.relation.ispartof31st Symposium on Integrated Circuits and Systems Design, SBCCI 2018
dc.rightsAcesso Restrito
dc.subject.otherlanguageComputer-aided design (CAD)
dc.subject.otherlanguageEvolutionary electronics
dc.subject.otherlanguageinteractive genetic algorithm
dc.subject.otherlanguageoperational transconductance amplifier (OTA)
dc.subject.otherlanguagerobust analog CMOS ICs
dc.titleAutomatic Optimization of Robust Analog CMOS ICs: An Interactive Genetic Algorithm Driven by Human Knowledge
dc.typeArtigo de evento
fei.scopus.citations7
fei.scopus.eid2-s2.0-85059010946
fei.scopus.subjectAnalog CMOS
fei.scopus.subjectComputer aided designs (CAD)
fei.scopus.subjectEvolutionary electronics
fei.scopus.subjectInteractive genetic algorithm
fei.scopus.subjectOperational transconductance amplifiers (OTA)
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059010946&origin=inward
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