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A novel hybrid IWO and CS algorithm for phase-only pattern synthesis of large array antenna

机译:一种新型混合IWO和CS算法,用于大阵列天线的相位模式合成

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In this paper, a novel hybrid Invasive Weed Optimization (IWO) and Cuckoo Search (CS) algorithm (IWO/CS) is presented for phase-only pattern synthesis of large array antenna. The hybrid IWO/CS algorithm embeds the Levy flight of CS algorithm into IWO algorithm as a global guide, thereby enhancing the global search ability of the algorithm. At the same time, in order to avoid trapping into the local optimal solution, mutation operator is introduced to enhance search ability of the algorithm. Finally, competitive exclusion operation is improved to maintain the diversity of population. The hybrid algorithm is applied to phase-only beam shaping to achieve main lobe broadening and side lobe depression. Simulation results demonstrate the superiority of the hybrid IWO and CS algorithm.
机译:本文介绍了一种新型混合侵入性杂草优化(IWO)和Cuckoo搜索(CS)算法(IWO / CS),用于大阵列天线的相位模式合成。 混合IWO / CS算法将CS算法的Levy飞行算法嵌入IWO算法作为全局指南,从而提高了算法的全局搜索能力。 同时,为了避免捕获本地最优解,突出突变算子以提高算法的搜索能力。 最后,有竞争力的排斥运作得到改善,以维持人口的多样性。 混合算法应用于仅相位的光束整形,以实现主瓣扩展和侧叶凹陷。 仿真结果展示了混合IWO和CS算法的优越性。

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