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A Design Method in CMOS Operational Amplifier Optimization Based on Adaptive Genetic Algorithm

机译:基于自适应遗传算法的CMOS运算放大器优化设计方法

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摘要

A new method based on adaptive GA(genetic algorithm) for optimizing the parameters of CMOS operational amplifier is presented in this paper. The synthesis of the Op-amp (operational amplifier) can be translated into multiple-objective optimization task, in which a large number of specifications have to be taken into account. Such as DC-gain, bandwidth of unity gain, phase-margin, power, noise and others. The feature of the method is that combining the skills of manual experience of analog circuits design and genetic algorithm, through adjusting the GA with the evolution process, the problems of convergence and multiple objective optimization tasks can be solved; and operational amplifiers for different use can be designed depending on various performance specifications. The results of groups of simulation show that this method can optimize the parameters of analog circuits accurately and efficiently.
机译:提出了一种基于自适应遗传算法优化CMOS运算放大器参数的新方法。运算放大器(运算放大器)的合成可以转换为多目标优化任务,其中必须考虑大量规格。例如直流增益,单位增益带宽,相位裕度,功率,噪声等。该方法的特点是将模拟电路设计的手工经验和遗传算法相结合,通过调整遗传算法和进化过程,可以解决收敛性和多目标优化任务。可以根据各种性能规格设计不同用途的运算放大器。多组仿真结果表明,该方法可以准确,有效地优化模拟电路的参数。

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