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

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

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

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).


    1. 1)
      • 1. Póvoa, R., Bastos, I., Lourenço, N., et al: ‘Automatic synthesis of RF front-end blocks using multi-objective evolutionary techniques’, Integr. VLSI J., 2016, 52, (1), pp. 243252, doi:
    2. 2)
    3. 3)
      • 3. Coello, C.A.C., Lamont, G.B., Veldhuizen, D.A.V.: ‘Evolutionary algorithms for solving multi-objective problems’ (Springer-Verlag, NY, 2007).
    4. 4)
      • 4. Moreto, R.A.L., Thomaz, C.E., Gimenez, S.P.: ‘Automatic optimization of robust analog CMOS ICs: an interactive genetic algorithm driven by human knowledge’. Proc. of the SBCCI 2018, Bento Gonçalves, Rio Grande do Sul, Brazil, August 2018.
    5. 5)
    6. 6)
      • 6. Zebulum, R.S., Pacheco, M.A., Vellasco, M.M.: ‘Evolutionary electronics: automatic design of electronic circuits and systems by genetic algorithms’ (CRC Press, EUA, 2002).

Related content

This is a required field
Please enter a valid email address