用遗传算法计算静电透镜的球差和色差

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Traitement Du Signal Pub Date : 2023-10-30 DOI:10.18280/ts.400541
Nimet Isik
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Calculation of the Spherical and Chromatic Aberrations for Electrostatic Lenses Using Genetic Algorithm
Optical aberrations degrade the detecting performance in electron spectrometers. It is very difficult to calculate optical aberration parameters for complex electrostatic lens systems. In order to overcome this difficulty, the genetic algorithm method as a solution is introduced in this study. GAs are an intuitive research method based on the principle of generating new sequences of chromosomes in order to solve complex ordered problems. These algorithms target the global optimization of mathematical functions. This study uses a genetic algorithm to demonstrate the results of optimum aberration coefficients as a function of magnification for three-element electrostatic cylinder lenses. This algorithm is used to search for high-performance values. Different mutation and crossover probability values and also different selection and crossover types are tested. The optimum solution is obtained with a mutation rate of 0.01 and uniform crossover with a rate of 0.7. The proposed approach ensures the optimal solution for the aberration problems of the electrostatic lenses.
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来源期刊
Traitement Du Signal
Traitement Du Signal 工程技术-工程:电子与电气
自引率
21.10%
发文量
162
审稿时长
>12 weeks
期刊介绍: The TS provides rapid dissemination of original research in the field of signal processing, imaging and visioning. Since its founding in 1984, the journal has published articles that present original research results of a fundamental, methodological or applied nature. The editorial board welcomes articles on the latest and most promising results of academic research, including both theoretical results and case studies. The TS welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to: Signal processing Imaging Visioning Control Filtering Compression Data transmission Noise reduction Deconvolution Prediction Identification Classification.
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