A multistage depressed collectors design tool for traveling wave tubes based on non-dominated sorting genetic algorithm II

Huang, Tao; Cao, Qiu-Feng; Liu, Jia; Gong, Dapeng; Li, Shifeng; Yang, Zhonghai; Li, Bin

doi:10.1109/ivec.2018.8391481

Cited by 7 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the coding strategy, crossover operator and mutation operator are designed. The simulation test shows that the intelligent test paper generation algorithm based on the improved genetic algorithm can meet the requirements, and the application of the improved genetic algorithm in the intelligent test paper generation problem is introduced [4] . Although people have made great achievements in the research of the genetic algorithm-based test paper generation system, there are still some shortcomings in the practical application of the genetic algorithm-based computer intelligent test paper generation system.…”

Section: Introductionmentioning

confidence: 99%

Computer Intelligent Test Paper System Based on Genetic Algorithm

Wang

2020

L-E

View full text Add to dashboard Cite

The rapid development of the Internet has brought tremendous changes to people’s lives. Through the network function, the online examination is gradually accepted by various educational and teaching institutions. Currently, online exams have become the main method of teaching evaluation. In order to solve the problem of intelligent test paper more effectively, this paper proposes a mufti-threaded intelligent test paper strategy based on genetic algorithm, and designs the computer system structure in the standard test question bank. Convergence simulation and experimental results show that the algorithm is better than simple particle swarm optimization algorithm, simple genetic algorithm and its improved algorithm. Established a mathematical model and objective function for test paper composition, and proposed an intelligent test paper composition strategy based on genetic algorithm. The investigator used overall coding, crossover and mutation operations to improve the global optimization capability and convergence speed. It overcomes the phenomenon of premature and improves the accuracy and speed of convergence. It has the advantages of strong optimization ability and good stability.

show abstract

Section: Introductionmentioning

confidence: 99%

Computer Intelligent Test Paper System Based on Genetic Algorithm

Wang

2020

L-E

View full text Add to dashboard Cite

show abstract

“…To improve the service behavior of MDCs, the conventional methods aim to optimize the electrode structure and the potential [8][9][10][11]. For example, Zhangliang Wang et al proposed a novel non-axisymmetric structure MDC to achieve a low back-streaming rate and high collection efficiency with the advantage of easy processing and simple structure [12].…”

Section: Introductionmentioning

confidence: 99%

Laser Induced Nano and Micro Structures of Molybdenum Surface Applied in Multistage Depressed Collector for Secondary Electron Suppression

et al. 2019

View full text Add to dashboard Cite

The laser processing molybdenum metal surface method was first proposed to enhance the efficiency of multistage depressed collectors (MDCs). In this study, the secondary electron yield (SEY), surface geometrical morphologies and chemical states of laser processed Mo metal samples were characterized. For the first time, the effects of laser parameters and incident angle of primary electrons on the SEY property of laser induced nano and micro structures of molybdenum surface were investigated. The influence rule of laser processing patterns, power, pitch spacing, scanning speed on surface morphologies and SEY were systematically explored. A maximum SEY of laser processed Mo metal less than one was achieved. The Mo 3d and O 1s core level spectra of Mo metal before and after laser processing were analyzed in this study. Furthermore, the corresponding oxidation states of Mo as well as the relative distribution were elucidated.

show abstract