Multi-objective design automation of the folded-cascode OP-AMP using NSGA-II Strategy

Takhti, Mohammad; Beirami, Ali; Shamsi, Hossein

doi:10.1109/isscs.2009.5206170

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…, } that optimizes performance functions, such as gain, offset, signal to noise ratio, and maximum operating frequency, while meeting imposed specifications and/or inherent constraints, for example, saturation conditions of transistors, technology limits, and impedance matching. Vector may encompass biases, lengths (L), and widths (W) of MOS transistors, component values, and so forth [5].…”

Section: Design Methodologymentioning

confidence: 99%

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Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

Dendouga

Oussalah

Thienpont³

et al. 2014

Advances in Electrical Engineering

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The design of an interface to a specific sensor induces costs and design time mainly related to the analog part. So to reduce these costs, it should have been standardized like digital electronics. The aim of the present work is the elaboration of a method based on multiobjectives genetic algorithms (MOGAs) to allow automated synthesis of analog and mixed systems. This proposed methodology is used to find the optimal dimensional transistor parameters (length and width) in order to obtain operational amplifier performances for analog and mixed CMOS-(complementary metal oxide semiconductor-) based circuit applications. Six performances are considered in this study, direct current (DC) gain, unity-gain bandwidth (GBW), phase margin (PM), power consumption (P), area (A), and slew rate (SR). We used the Matlab optimization toolbox to implement the program. Also, by using variables obtained from genetic algorithms, the operational transconductance amplifier (OTA) is simulated by using Cadence Virtuoso Spectre circuit simulator in standard TSMC (Taiwan Semiconductor Manufacturing Company) RF 0.18 m CMOS technology. A good agreement is observed between the program optimization and electric simulation.

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Section: Design Methodologymentioning

confidence: 99%

“…Accuracy, ease of use, generality, robustness, and reasonable run-time are necessary for a circuit synthesis solution to gain acceptance by using optimization methods [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

Dendouga

Oussalah

Thienpont³

et al. 2014

Advances in Electrical Engineering

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show abstract

“…Because this approach is multiple‐objective, it tries to define a whole optimal solution set, namely Pareto front. Pareto solutions are non‐dominated with respect to each other; however, switching from one point to another usually causes a sacrifice in one or more objectives to attain a limited quantity of gain in the other(s) . The proposed approach combines a circuit sizing framework with an intelligence algorithm to achieve an efficient methodology of circuit design in a way that attaining high yield converters needs no serious concern regarding their transistor sizing, while it keeps the main performance parameters admissible at the same time.…”

Section: Introductionmentioning

confidence: 99%

Yield‐aware sizing of pipeline ADC using a multiple‐objective evolutionary algorithm

Mirzaie

Shamsi

Byun

2016

Circuit Theory & Apps

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Summary In this paper, an efficient and highly accurate algorithm for yield‐aware design of pipeline analog to digital converters (ADCs) based on a four‐step approach is presented. First, a general netlist is generated for the data converter building blocks. Then, using an evolutionary method, its best performance sizing is estimated. Finally, the yield gets enhanced to reach a desired value. With the same accuracy, the presented algorithm can achieve yield optimization by approximately five times less computational cost compared with a state‐of‐the‐art MC‐based method. The framework is applied to demonstrate a reliable converter with optimum performance, power consumption, speed and area overhead during a single running process. A prototype 10‐bit resolution, 10‐MS/s pipeline analog to digital converter has been simulated in a 0.18‐µm 1.8‐V CMOS process. Presented results, applying the proposed method, show important advantages in terms of accuracy and efficiency. Copyright © 2016 John Wiley & Sons, Ltd.

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Design Illustration of a Symmetric OTA Using Multiobjective Genetic Algorithms

Ivanciu

Oltean

Hintea

2011

Knowledge-Based and Intelligent Information and Engineering Systems

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Multi-objective design automation of the folded-cascode OP-AMP using NSGA-II Strategy

Cited by 4 publications

References 2 publications

Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

Yield‐aware sizing of pipeline ADC using a multiple‐objective evolutionary algorithm

Design Illustration of a Symmetric OTA Using Multiobjective Genetic Algorithms

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