用遗传算法优化充气保护曲线转弯的参数

2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Pub Date : 2017-09-01 DOI:10.1109/SIBIRCON.2017.8109927

A. Nosov, T. T. Gazizov, R. Surovtsev, T. Gazizov

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引用次数: 2

摘要

采用遗传算法对空气保护弯道断面进行了单准则参数优化。对于这项任务，质量函数提供了线(Z)的偶数和奇数模式的波阻抗的几何平均值等于50 Ω。同时对所研究结构的4个截面参数进行了优化。描述了10代和100代30个个体的5次遗传运行结果。Z值在50 Ω附近重现性好，偏差小于0.1%。对优化时间成本进行了估算。程序的源代码(TALGAT软件)在附录中给出。

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Parametric optimization of protective meander line turn in air filling by genetic algorithm

One-criterion parametric optimization by genetic algorithm (GA) of air protective meander line turn cross-section is executed. For this task the quality function which provides geometric mean of wave impedances for even and odd modes of the line (Z) to be equal to the 50 Ω is formulated. All of 4 cross-section parameters of the investigated structure are simultaneously optimized. The results of 5 GA runs with 10 and 100 generations of 30 individuals are described. Well reproducibility of Z value around the value of 50 Ω with deviation less than 0.1% is demonstrated. The optimization time costs were estimated. The source code of the program (in TALGAT software) is presented in Appendix.

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2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

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