Optimal design of second generation current conveyors by the Artificial Bee Colony technique

B. Benhala, Hamid Bouyghf, A. Lachhab, B. Bouchikhi
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引用次数: 15

Abstract

The field of metaheuristics based on swarm intelligence (SI) techniques, for the application to analog design optimization is a rapidly growing domain of research. This is due to the importance of these metaheuristics to solve NP-hard problem. The main goal of this paper is to use the Artificial Bees Colony (ABC) technique to the optimal sizing of analog circuits. The paper details the proposed algorithm and highlights its performances using some mathematical test functions. An application to the optimal sizing of CMOS second generation current conveyors (CCII) for specific performances is presented, and comparison results with published works are highlighted. SPICE simulation results are given to show the viability of the suggested algorithm.
基于人工蜂群技术的第二代传送带优化设计
基于群智能(SI)技术的元启发式算法在模拟设计优化中的应用是一个快速发展的研究领域。这是由于这些元启发式对于解决np困难问题的重要性。本文的主要目的是利用人工蜂群(ABC)技术来优化模拟电路的尺寸。本文详细介绍了所提出的算法,并通过一些数学测试函数来突出其性能。介绍了一种应用于CMOS第二代电流传送带(CCII)具体性能优化尺寸的方法,并与已发表的文献进行了比较。SPICE仿真结果表明了该算法的可行性。
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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