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Application of Genetic Algorithm for Optimization of Important Parameters of Magnetically Biased Microstrip Circular Patch Antenna

机译:遗传算法在磁偏置微带圆形贴片天线重要参数优化中的应用

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The application of Genetic Algorithm (GA) to the optimization of important parameters (Directivity, Radiated Power, Impedance etc.) of magnetically biased microstrip antenna, fabricated on ferrite substrate, is reported. The fitness functions for the GA program have been developed using cavity method for the analysis of microstrip antenna. The effect of external magnetic biasing has also been incorporated in the fitness function formulation as effective propagation constant. Using stochastic based search method of GA the common characteristics of electro-magnetic were entertained which cannot be handled by other optimization techniques. The genetic algorithm was run for 500 generations. The computed results are in good agreement with the results obtained experimentally.
机译:报道了遗传算法在优化铁氧体衬底上的磁偏置微带天线的重要参数(方向性,辐射功率,阻抗等)上的应用。 GA程序的适应度函数已使用腔法开发,用于分析微带天线。外部磁偏置的影响也已作为有效传播常数纳入了适应度函数公式。使用基于GA的随机搜索方法,可以得出电磁的共同特征,而其他优化技术则无法解决这些共同特征。遗传算法运行了500代。计算结果与实验结果吻合良好。

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