A Novel Optimization Methodology Based on Genetic Algorithm For Gain-Boosted OPAMP

摘要：

A Genetic Algorithm-based methodology for gain-boosted amplifier was presented. This method gave a global optimization on both settling time and power consumption of gain-boosted amplifiers. Circuit models wer explored to operate hill climbing on the settling time. An optimum design criteria was given for fast convergence. The detailed algorithm was discussed and implemented with Matlab. Finally a practical amplifier was presented for high-speed applications.

作者: Xiaomu Wang Zhaohua Zhang Litian Liu Tianling Ren

作者单位: Institute of Microelectronics,Tsinghua University,Beijing 100084,P.R.China Institute of Mcroelectronics,Tsinghua University,Beijing 100084,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Solid-State and Integrated-Circuit Technology(第9届固态和集成电路国际会议)

会议地点: 北京

会议语种:英文

页码: 1745-1748

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）