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Automated analog circuit design using Genetic Algorithms

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Yanfeng Jiang; Jiaxin Ju; Xiaobo Zhang; Bing Yang
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Abstract:

Analog circuits synthesis is very challenging. Much progression has been made in automating analog circuit synthesis using optimization algorithms. In this paper, a parti...Show More

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Abstract:

Analog circuits synthesis is very challenging. Much progression has been made in automating analog circuit synthesis using optimization algorithms. In this paper, a particular optimization algorithm that has been applied to the task of automating analog circuit synthesis is carried out which based on the Genetic Algorithm(GA). This paper will give an aspect view on how genetic algorithms have been developed and used for the synthesis of analog circuit.
Published in: 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication
Date of Conference: 20-22 August 2009
Date Added to IEEE Xplore: 06 October 2009
ISBN Information:

ISSN Information:

DOI: 10.1109/ICASID.2009.5276912
Conference Location: Hong Kong
References is not available for this document.
Contents

I. Introduction

The genetic algorithm is one of many techniques used to find appropriate solutions for optimization problems. The GA tries to mimic the process of biological evolution where, over successive generations, individuals who are best suited to survive in an environment live on and reproduce, while other individuals die off [1]. Eventually, over many generations, the population has been optimized and only individuals who are suited to the environment live on. The GA tries to generate a viable solution to a problem through the successive evolution of substandard solutions.

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