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Optimum Transistor Sizing of CMOS Differential Amplifier Using Tunicate Swarm Algorithm
Journal of Circuits, Systems and Computers ( IF 1.5 ) Pub Date : 2022-09-14 , DOI: 10.1142/s0218126623500512
V. Kamalkumar 1 , R. Lal Raja Singh 2
Affiliation  

In this paper, optimum transistor sizing of CMOS differential amplifier using tunicate swarm algorithm (TSA) is proposed. The designing of CMOS differential amplifier is activated to determine the best feasible design parameter values. This work proposes the optimized values of various parameters of a CMOS differential amplifier for better performance. TSA is chosen to optimize the circuit area. TSA has the ability to solve complex functions, like MOS transistor size and bias current. TSA is employed to optimize the parameters of circuit design, like area, power dissipation MOS transistor size, and also used to enhance other circuit specifications, while fulfilling circuit design criteria. The design objectives of CMOS differential amplifier are considered the fitness function of TSA algorithm. Then, weight parameters of CMOS differential amplifier design are optimized using TSA. By CMOS differential amplifier using TSA algorithm, we can optimize circuit design parameters with higher probability of yielding optimal results regarding circuit area lessening, lesser power dissipation and MOS transistor sizes. The proposed method is implemented in the MATLAB platform. The proposed CMOS-DA-TSA method attains 52.01%, 50.29% and 44.30% minimum slew rate, 64.61%, 75.30% and 55.92% minimum power dissipation compared to the existing methods like CMOS-ACD-SOA, CMOS-PAI-FOPSO and CMOS-PSO-MOL, respectively.



中文翻译:

使用 Tunicate Swarm 算法优化 CMOS 差分放大器的晶体管尺寸

在本文中,提出了使用被囊群算法 (TSA) 的 CMOS 差分放大器的最佳晶体管尺寸。激活 CMOS 差分放大器的设计以确定最佳可行的设计参数值。这项工作提出了 CMOS 差分放大器各种参数的优化值以获得更好的性能。选择 TSA 是为了优化电路面积。TSA 有能力解决复杂的功能,例如 MOS 晶体管尺寸和偏置电流。TSA 用于优化电路设计参数,如面积、功率耗散 MOS 晶体管尺寸,也用于提高其他电路规格,同时满足电路设计标准。CMOS差分放大器的设计目标是考虑TSA算法的适应度函数。然后,使用 TSA 优化 CMOS 差分放大器设计的权重参数。通过使用 TSA 算法的 CMOS 差分放大器,我们可以优化电路设计参数,更有可能在电路面积减小、功耗和 MOS 晶体管尺寸方面产生最佳结果。所提出的方法在 MATLAB 平台上实现。与现有方法(如 CMOS-ACD-SOA、CMOS-PAI-FOPSO 和CMOS-PSO-MOL,分别。更小的功耗和 MOS 晶体管尺寸。所提出的方法在 MATLAB 平台上实现。与现有方法(如 CMOS-ACD-SOA、CMOS-PAI-FOPSO 和CMOS-PSO-MOL,分别。更小的功耗和 MOS 晶体管尺寸。所提出的方法在 MATLAB 平台上实现。与现有方法(如 CMOS-ACD-SOA、CMOS-PAI-FOPSO 和CMOS-PSO-MOL,分别。

更新日期:2022-09-14
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