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基于遗传算法非对称多级分支定向耦合器设计 被引量:1

Design of Unsymmetrical Multi-section Branch-line Hybrid Based on Improved Genetic Algorithm
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摘要 将遗传算法用于多级分支定向耦合器的优化设计并对算法进行了改进。设计中取消了阻抗对称的限制,分支定向耦合器的工作带宽得到了进一步扩展;在标准遗传算法的基础上,引入了最优保存策略和自适应遗传操作,算法的性能得到了提高。仿真表明,用该方法设计的多级分支定向耦合器性能优于其他设计方法。 A genetic algorithm for the optimization design of multisection branch-line hybrid is presented and the algo- rithm is improved. The symmetrical restriction of impedance is cancelled in the design. The bandwidth of the branch-line hybrid has been expanded further. Based on standard genetic algorithm, the optimum maintaining tactics and the adaptive genetic operating is introduced. The performance of the algorithm has been improved. The simulation resuh shows that multi-section branch-line hybrid by this method has a better performance than the methods else.
作者 蔡钧 唐艳
出处 《现代雷达》 CSCD 北大核心 2007年第7期65-67,71,共4页 Modern Radar
关键词 遗传算法 分支定向耦合器 优化设计 genetic algorithm branch-line hybrid optimization design
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  • 2Muraguchi M, Yukitake Y, Naito Y. Optimum design of 3 -dB branch - line couplers using microstrip lines [ J ]. IEEE Trans On Microwave Theory Tech, 1983, 31 (8) : 389 - 399.
  • 3Kumar S, Tannous C, Danchin T. A muhisection broad - band impedance transforming branch-line hybrid [ J ]. IEEE Trans On Microwave Theory Tech, 1995, 43( 11 ) : 2517 - 2523.
  • 4Srinivas M, Patnaik L M. Adaptive probabilities of crossover and mutation in genetic algorithm[ J]. IEEE Trans. On Systems, Man and Cybernetics, 1994,24(4) : 656 - 667.

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