多目标优化技术:能量最小化方法及其在ota放大器合成中的应用研究

Milton Jonathan, M. Pacheco, M. Vellasco, R. Zebulum
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引用次数: 10

摘要

本文综述了一种称为能量最小化的多目标适应度评价方法,并分析了该方法在单端米勒运算放大器综合遗传算法中的行为。提出了一种改进的模型,以克服上述缺陷,提高模型的性能。最后,给出了实验结果并进行了分析,从而对所提出的修改所带来的效益进行了全面评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiobjective optimization techniques: a study of the energy minimization method and its application to the synthesis of ota amplifiers
This paper reviews the multiobjective fitness evaluation method called energy minimization and presents an analysis of the method's behavior when used in a genetic algorithm applied to the synthesis of single-ended Miller operational amplifiers. A modified model is proposed in order to overcome some of the weaknesses pointed out and improve the model's performance. Finally, experimental results are presented and analyzed, leading to an overall evaluation of the benefits provided by the proposed modifications.
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