Machine learning driven global optimisation framework for analog circuit design

Ria Rashid, Komala Krishna, Clint Pazhayidam George, Nandakumar Nambath

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DOI: 10.1016/j.mejo.2024.106362
Published: 2024-09
Container: Microelectronics Journal
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.mejo.2024.106362,
  title = {Machine learning driven global optimisation framework for analog circuit design},
  author = {Ria Rashid and Komala Krishna and Clint Pazhayidam George and Nandakumar Nambath},
  year = {2024},
  journal = {Microelectronics Journal},
  doi = {10.1016/j.mejo.2024.106362},
  url = {https://doi.org/10.1016/j.mejo.2024.106362}
}

RIS

TY  - JOUR
TI  - Machine learning driven global optimisation framework for analog circuit design
AU  - Ria Rashid
AU  - Komala Krishna
AU  - Clint Pazhayidam George
AU  - Nandakumar Nambath
PY  - 2024
JO  - Microelectronics Journal
DO  - 10.1016/j.mejo.2024.106362
UR  - https://doi.org/10.1016/j.mejo.2024.106362
ER  -

APA

Rashid, R., Krishna, K., George, C. P., & Nambath, N. (2024). Machine learning driven global optimisation framework for analog circuit design. Microelectronics Journal. https://doi.org/10.1016/j.mejo.2024.106362

Source records

crossref · retrieved 2026-09-25T10:55:02.111Z