Offset voltage minimization based circuit sizing of CMOS operational amplifier using whale optimization algorithm

Sarkar, Paramita; Laskar, Naushad Manzoor; Nath, Soumitra; Baishnab, Krishna Lal; Chanda, Saurav

doi:10.1080/02522667.2017.1372913

Cited by 8 publications

(8 citation statements)

References 14 publications

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“…Optimization of VLSI circuits needs evolutionary techniques because of the simplicity and ease of approach. In the paper proposed by Sarkar et al (2018) [1], the aim of achieving this dimension is optimum and the purpose of obtaining reduced offset voltage in the formulation of two-step CMOS OP-amp is accomplished with the help of Whale Optimization Algorithm. The proposed design satisfying diverse formulation conditions like Slew Rate, Open Loop Gain, etc.…”

Section: Literature Surveymentioning

confidence: 99%

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Design Optimization of Power and Area of Two-Stage CMOS Operational Amplifier Utilizing Chaos Grey Wolf Technique

Maddileti¹,

Govindarajulu²,

Sivappagari³

2020

IJACSA

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Low Power Dissipation is an emerging challenge in the current electronics industry. Area shrinking has found the most prominent place and is the foundation of every constricted size in the utilization of CMOS circuits in Integrated Circuit Manufacturing. Functionality in terms of rapidity, dissipation of power, etc. are strongly influenced by the dimensions of transistors in many CMOS Integrated Circuits. The significant formulation parameters in CMOS circuit design to perform optimization of the above-mentioned parameters, and various techniques were projected earlier to a maximum extent possible. Latency, Power, and Dimension are significant parameters in the design of CMOS based IC design. Most analog circuit reduction in terms of size as parameter typically describes solitary or many objectives-controlled optimization issues. The eminent challenges with regards to size and power dissipation can be described as problems that are typically encountered under certain conditions. In this study, the design of a two-stage CMOS Differential Amplifier applying the nature-inspired Grey Wolf Algorithm for optimizing the area and power is utilized. To enhance the formulation terms concerning important considerations such as the amount incurred, strength, and functionality; a computerized formulation approach is used. This formulated design proposal will meet specifications such as positive and negative Slew Rate, Unity Gain Bandwidth and Phase Margin, etc. Chaos theory can be induced into the Grey Wolf Optimization Algorithm (CGWO) with the help of speeding global convergence metric i.e. Speed. The results obtained from CGWO are then analyzed with the functionality of other prevailing optimization techniques employed in the analog circuit sizing. Depending on the investigations, CGWO functions reduce the dimensions of the circuit and analyze the prevailing techniques by achieving a healthier rate of convergence and power dissipation with low value.

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Section: Literature Surveymentioning

confidence: 99%

“…Steps utilized in the design of the proposed circuit that is differential amplifier utilized in the Operational amplifier circuit will be provided by calculating according to (1).…”

Section: ) Design Strategies Adopted In the Formulation Of Proposed mentioning

confidence: 99%

Design Optimization of Power and Area of Two-Stage CMOS Operational Amplifier Utilizing Chaos Grey Wolf Technique

Maddileti¹,

Govindarajulu²,

Sivappagari³

2020

IJACSA

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“…The WOA and mGWO are the metaheuristic algorithms inspired by the social hierarchy and the foraging or hunting behavior of humpback whales and gray wolfs, respectively. The mathematical modeling of the social behavior of humpback whales and gray wolfs is explained in (Sarkar et al , 2018) and (Mittal et al , 2016), respectively. In Hybrid WOA-mGWO, a standard WOA algorithm is used for globally searching the entire search space and to bring most of the solutions towards the favorable area.…”

Section: Hybrid Whale Optimization Algorithm and Modified Gray Wolf Optimization Algorithmmentioning

confidence: 99%

A hybrid of WOA and mGWO algorithms for global optimization and analog circuit design automation

Majeed

Patri

2019

COMPEL

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Purpose This paper aims to resolve the sizing issues of analog circuit design by using proposed metaheuristic optimization algorithm. Design/methodology/approach The hybridization of whale optimization algorithm and modified gray wolf optimization (WOA-mGWO) algorithm is proposed, and the same is applied for the automated design of analog circuits. Findings The proposed hybrid WOA-mGWO algorithm demonstrates better performance in terms of convergence rates and average fitness of the function after testing it with 23 classical benchmark functions. Moreover, a rigorous performance evaluation is done with 20 independent runs using Wilcoxon rank-sum test. Practical implications For evaluating the performance of the proposed algorithm, a conventional two-stage operational amplifier is considered. The aspect ratios calculated by simulating the algorithm in MATLAB are later used to design the operational amplifier in Cadence environment using 180nm CMOS standard process. Originality/value The hybrid WOA-mGWO algorithm is tailored to improve the exploration ability of the algorithm by combining the abilities of two metaheristic algorithms, i.e. whale optimization algorithm and modified gray wolf optimization algorithm. To build further credence and to prove its profound existence in the latest state of the art, a statistical study is also conducted over 20 independent runs, for the robustness of the proposed algorithm, resulting in best, mean and worst solutions for analog IC sizing problem. A comparison of the best solution with other significant sizing tools proving the efficiency of hybrid WOA-mGWO algorithm is also provided. Montecarlo simulation and corner analysis are also performed to validate the endurance of the design.

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“…Target PSO [13] WOA [14] ALC-PSO [15] GSA [16] AGSA [16] GWO EGWO the ability to obtain a set of feasible solutions considering designer-specific performance requirements. Figures 7a -7c show the response of the two-stage operational amplifier to obtain A v , phase margin ( P M ), U GB , SR , common mode rejection ratio ( CM RR ), and power supply rejection ratio ( P SRR ).5…”

Section: Design Specificationsmentioning

confidence: 99%

“…In this paper, enhanced grey wolf optimization (EGWO) algorithm is presented for the automatic sizing of analog circuits by stabilizing the ratio of exploration and exploitation which is the bottleneck of many optimization algorithms in circuit design. The efficiency of the proposed method is then compared with the related techniques that use different algorithms such as particle swarm optimization (PSO) algorithm [13], whale optimization algorithm (WOA) [14], a hybrid of aging leader and challengers (ALC) and PSO algorithm [15], gravitational search algorithm (GSA) [16], advanced GSA (AGSA) [16], and GWO.…”

Section: Introductionmentioning

confidence: 99%

An enhanced grey wolf optimization algorithm with improved exploration ability for analog circuit design automation

Majeed¹,

Patri²

2018

Turk J Elec Eng & Comp Sci

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A novel circuit sizing technique with improved accuracy and efficiency is proposed to resolve the sizing issues in the analog circuit design. The grey wolf optimization (GWO) algorithm has the total number of iterations divided equally for exploration and exploitation, overlooking the impact of balance between these two phases, aimed for the convergence at a globally optimal solution. An enhanced version of a typical GWO algorithm termed as enhanced grey wolf optimization (EGWO) algorithm is presented with improved exploration ability and is successfully applied in analog circuit design. A set of 23 classical benchmark functions is evaluated and the outcomes are compared with recent state of the art. A conventional two-stage CMOS operational amplifier circuit realized in UMC 180nm CMOS technology is used as a benchmark to validate the efficiency and accuracy of the proposed optimization technique. A statistical study is also conducted over the final solution to investigate the exploration ability of the algorithm proving it to be one of the robust and reliable techniques.

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Offset voltage minimization based circuit sizing of CMOS operational amplifier using whale optimization algorithm

Cited by 8 publications

References 14 publications

Design Optimization of Power and Area of Two-Stage CMOS Operational Amplifier Utilizing Chaos Grey Wolf Technique

Design Optimization of Power and Area of Two-Stage CMOS Operational Amplifier Utilizing Chaos Grey Wolf Technique

A hybrid of WOA and mGWO algorithms for global optimization and analog circuit design automation

An enhanced grey wolf optimization algorithm with improved exploration ability for analog circuit design automation

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