Research on Parallel Optimization of Electron Optics Based on NSGA-II Multi-Objective Genetic Algorithm

In order to solve the problem of low optimization efficiency of the classical genetic algorithm, a parallel genetic algorithm optimization method is proposed to realize the CPU calling the solver and performing genetic operations at the same time. The distributed action klystron (EIK) is a new type of vacuum electronic device designed based on the traditional klystron and combining the advantages of the traveling wave tube. This paper takes the EIK electron gun as an example for experiment.

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Published
2025-04-14
DOI
https://doi.org/10.1109/ivec63678.2025.11115251
Primary Topic
Educational Technology and Assessment
Type
article
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Research on Parallel Optimization of Electron Optics Based on NSGA-II Multi-Objective Genetic Algorithm

Yulu Hu, Pucha Song, Quan Hu, Bin Li et al.
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Educational Technology and Assessment
article

Research on Parallel Optimization of Electron Optics Based on NSGA-II Multi-Objective Genetic Algorithm

Yulu Hu, Pucha Song, Quan Hu, Bin Li, Xiaofang Zhu, Minghao Liu
article en

Abstract

In order to solve the problem of low optimization efficiency of the classical genetic algorithm, a parallel genetic algorithm optimization method is proposed to realize the CPU calling the solver and performing genetic operations at the same time. The distributed action klystron (EIK) is a new type of vacuum electronic device designed based on the traditional klystron and combining the advantages of the traveling wave tube. This paper takes the EIK electron gun as an example for experiment.

University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 68%
Educational Technology and Assessment
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