改进遗传算法的天线阵列方向图优化及Matlab仿真作者：赵萍来源：《信息技术时代·中旬刊》2019年第02期 摘要：本文提出了一种应用于阵列天线方向图优化的改进遗传算法。该算法借鉴生物学中S型种增长曲线模型赋予标准遗传算法中染体被选中概率、交叉概率、遗传概率，关于进化世代数的动态取值。用改进后的遗传算法对八单元阵列天线方向图进行了优化，并将优化结果与优前化、标准遗传算法优化结果进行了对比分析。结果显示改进后的遗传算法能够得到更低的第一副瓣电平，优化结果更好。文中同时给出部分matlab程序，方便读者学习。 关键词：种增长曲线；改进遗传算法；方向图优化；matlab程序
Array Antenna Pattern optimized by improved Genetic Algorithm and Matlab Simulation
Ping Zhao
（College of Information Science and Technology，阵列天线Donghua University，Shanghai 201620，China）
Abstract：A improved genetic algorithm is presented for optimization of array antenna pattern .In the improved genetic algorithm，being selected probability，crossover probability and inherited probability of chromosome is conferred dynamic values about evolutionary generations，leaning from the model of S-type population growth curve in biology.And the eight-cell array antenna pattern is optimized by the improved genetic algorithm.Compared to the un-optimized antenna pattern and the results optimized by standard genetic algorithm，optimized results show that the improved genetic algorithm can obtain a lower first side-lobe level and a better optimized results.The paper also provides some parts of the matlab procedures to allow readers to learn.
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