EAVREF: An Evolutionary-Algorithm-Based Tool for Low-Power CMOS Voltage Reference Designs
This paper presents EAVREF, a variability-aware evolutionary algorithm (EA)-based tool for low-power, low-voltage CMOS voltage reference (VR) designs. To ensure robustness against manufacturing process variations, the proposed framework integrates Monte Carlo simulations into the EA fitness evaluation. It supports multiple simulators, including the open-source Ngspice and commercial tools such as Hspice and Spectre. The capabilities of EAVREF are demonstrated through design examples in 28 nm, 65 nm, 90 nm, 130 nm, and 180 nm CMOS technologies, and extensive post-layout simulations were conducted to confirm the effectiveness of the approach in achieving variation-tolerant performance.
Authors
- Mariane R. Petraglia (ORCID: https://orcid.org/0000-0002-9451-3522)
- Fabián Olivera (ORCID: https://orcid.org/0000-0002-8120-2338)
- Luciana Faletti Almeida (ORCID: https://orcid.org/0000-0001-7149-8350)
- Ana Italiano
- Thiago Brito
Institutions
- Universidade Federal do Rio de Janeiro (BR)
- Federal Center for Technological Education Celso Suckow da Fonseca (BR)
- Universidade Federal do Amazonas (BR)
Publication Details
- Journal
- IEEE Design and Test
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1109/mdat.2025.3600355
- Primary Topic
- VLSI and FPGA Design Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico