access icon free Impact of designer knowledge in the interactive evolutionary optimisation of analogue CMOS ICs by using iMTGSPICE

This Letter describes an innovative interactive evolutionary computational tool to optimise robust analogue complementary metal-oxide-semiconductor (CMOS) integrated circuits (ICs), by using genetic algorithm, entitled iMTGSPICE. The main results demonstrate that the iMTGSPICE is able to reduce the optimisation cycle times of designs of robust single-ended single-stage and Miller operational transconductance amplifiers (OTAs) in up to 93.9% in comparison to the non-interactive optimisation process. Moreover, the iMTGSPICE is capable of reducing the influence of the knowledge levels of the analogue CMOS ICs designers (experts and non-experts) to obtain robust potential solutions (maximum error of 0.5% for the Miller OTA).

Inspec keywords: operational amplifiers; genetic algorithms; integrated circuit design; circuit optimisation; SPICE; CMOS analogue integrated circuits

Other keywords: analogue CMOS ICs designers; robust analogue complementary metal–oxide–semiconductor integrated circuits; OTAs; genetic algorithm; interactive evolutionary optimisation; iMTGSPICE; innovative interactive evolutionary computational tool; noninteractive optimisation process; Miller operational transconductance amplifier design; robust single-ended single-stage amplifier design

Subjects: Analogue circuit design, modelling and testing; Amplifiers; Semiconductor integrated circuit design, layout, modelling and testing; Optimisation techniques; Optimisation techniques; Electronic engineering computing; CMOS integrated circuits

References

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Errata
An Erratum has been published for this content:
Erratum: Impact of designer knowledge in the interactive evolutionary optimisation of analogue CMOS ICs by using iMTGSPICE