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Design of linear antenna arrays using antlion and grasshopper optimization algorithms

机译:利用蚂蚁和蚂蚱优化算法设计线性天线阵列

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The design of linear antenna arrays is one of the important electromagnetic optimization problems. In this paper, the problem of designing these arrays for specific radiation properties is dealt with. The Antlion optimization (ALO) and Grasshopper optimization algorithm (GOA) methods, which represent new evolutionary algorithms, are used in the optimization process. ALO and GOA are used to minimize the maximum side lobe level (SLL) by optimizing the excitation current amplitudes of array elements. The results obtained show the effectiveness of ALO and GOA compared to other optimization methods.
机译:线性天线阵列的设计是重要的电磁优化问题之一。在本文中,解决了针对特定辐射特性设计这些阵列的问题。优化过程中使用了代表新进化算法的Antlion优化(ALO)和Grasshopper优化算法(GOA)方法。 ALO和GOA用于通过优化阵列元件的激励电流幅度来最大程度降低最大旁瓣电平(SLL)。与其他优化方法相比,获得的结果表明了ALO和GOA的有效性。

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