Analog circuits optimization based on evolutionary computation techniques

  • Authors:
  • Manuel Barros;Jorge Guilherme;Nuno Horta

  • Affiliations:
  • Instituto de Telecomunicaçíes, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal and Escola Superior de Tecnologia de Tomar, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal and Instituto Super ...;Instituto de Telecomunicaçíes, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal and Escola Superior de Tecnologia de Tomar, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal;Instituto de Telecomunicaçíes, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal and Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal

  • Venue:
  • Integration, the VLSI Journal
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a new design automation tool, based on a modified genetic algorithm kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach combines a robust optimization with corner analysis, machine learning techniques and distributed processing capability able to deal with multi-objective and constrained optimization problems. The resulting optimization tool and the improvement in design productivity is demonstrated for the design of CMOS operational amplifiers.