Memristor-based genetic algorithm for image restoration

Q1 Engineering

Journal of Electronic Science and Technology Pub Date : 2022-06-01 DOI:10.1016/j.jnlest.2022.100158

Yong-Bin Yu , Chen Zhou , Quan-Xin Deng , Yuan-Jing-Yang Zhong , Man Cheng , Zheng-Fei Kang

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引用次数: 2

Abstract

This paper explores a way of deploying the classical algorithm named genetic algorithm (GA) with the memristor. The memristor is a type of circuit device with both characteristics of storage and computing, which provides the similarity between electronic devices and biological components, such as neurons, and the structure of the memristor-based array is similar to that of chromosomes in genetics. Besides, it provides the similarity to the image gray-value matrix that can be applied to image restoration with GA. Thus, memristor-based GA is proposed and the experiment about image restoration using memristor-based GA is carried out in this paper. And parameters, such as the size of initial population and the number of iterations, are also set different values in the experiment, which demonstrates the feasibility of implementing GA with memristors.¹

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基于忆阻器的图像恢复遗传算法

本文探讨了一种将经典算法遗传算法(GA)部署到忆阻器中的方法。忆阻器是一种兼具存储和计算特性的电路器件，它提供了电子器件与生物元件(如神经元)之间的相似性，基于忆阻器的阵列结构与遗传学上的染色体结构相似。此外，它还提供了与图像灰度值矩阵的相似性，可以应用于遗传算法的图像恢复。为此，本文提出了基于忆阻器的遗传算法，并进行了基于忆阻器的遗传算法图像恢复实验。实验中还设置了初始种群大小、迭代次数等参数，验证了用忆阻器实现遗传算法的可行性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering

CiteScore

4.30

自引率

0.00%

发文量

1362

审稿时长

99 days

期刊介绍： JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.