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Genetic Algorithms Applied to Microwave Filters Optimization andDesign

机译:遗传算法在微波滤波器优化设计中的应用

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摘要

This paper presents improvements in genetic algorithms for the optimization of microwave circuits. Several fitness functions are studied and implemented in the optimization process. They allow to quantify the importance of the specifications and of the solution approach with respect to the ideal circuit performance for a bandpass filter. The performance of the optimization method with different fitness functions is compared for the design of a Ku-band two-pole rectangular iris coupled waveguide bandpass filter.
机译:本文介绍了遗传算法的改进,以优化微波电路。在优化过程中研究并实现了几种适应度函数。它们允许量化有关带通滤波器理想电路性能的规格和解决方案方法的重要性。比较了具有不同适应度函数的优化方法的性能,以设计Ku波段两极矩形虹膜耦合波导带通滤波器。

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