自然启发的元启发式算法在模拟电路最优尺寸中的性能比较

2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2019-04-01 DOI:10.1109/DTSS.2019.8915326

Mauna Kotti, M. Fakhfakh, B. Benhala, H. Hachimi

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引用次数: 3

摘要

本文比较了自然启发的元启发式算法，即粒子群算法、入侵杂草算法和萤火虫算法的性能。考虑了模拟电路尺寸的应用。对CMOS第二代电流输送器(CCII)的输入寄生阻抗和电流传输带宽进行了优化。通过Hspice仿真验证了所达到性能的可行性。鲁棒性测量被执行，以进一步突出所考虑的元启发式的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance Comparison of Nature-Inspired Metaheuristics in the Optimal Sizing of Analog Circuits

This paper presents a performance comparison between nature-inspired metaheuristics, namely, Particle Swarm Optimization, Invasive Weed Optimization and Firefly Algorithm. Application to analog circuit sizing is considered. Input parasitic impedance and the current transfert bandwidth of a CMOS second generation current conveyor (CCII) are optimized. Viability of the reached performances is cheched via Hspice Simulations. Robustness measure is performed to further highlight performances of the considered metaheuristics.

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来源期刊

2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)

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