Analog circuits optimization based on evolutionary computation techniques

作者：Barros Manuel; Guilherme Jorge; Horta Nuno^*

来源：Integration, the VLSI Journal, 2010, 43(1): 136-155.

DOI：10.1016/j.vlsi.2009.09.001

• Design automation
• Analog integrated circuit synthesis
• Evolutionary optimization
• Learning strategies

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.

• 出版日期2010-1