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Optimum Transistor Sizing of CMOS Differential Amplifier Using Tunicate Swarm Algorithm

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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.
Title: Optimum Transistor Sizing of CMOS Differential Amplifier Using Tunicate Swarm Algorithm
Description:
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.

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