利用蚁群和蚱蜢优化算法设计线性天线阵列

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI:10.1109/AEECT.2017.8257746

A. Amaireh, Asem Alzoubi, N. Dib

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引用次数: 18

摘要

线性天线阵列的设计是重要的电磁优化问题之一。本文讨论了针对特定辐射特性设计这些阵列的问题。在优化过程中采用了代表新型进化算法的Antlion optimization (ALO)和Grasshopper optimization algorithm (GOA)方法。通过优化阵列单元的激励电流幅值，采用自适应增益法(ALO)和自适应增益法(GOA)最小化最大旁瓣电平(SLL)。结果表明，与其他优化方法相比，ALO和GOA方法是有效的。

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Design of linear antenna arrays using antlion and grasshopper optimization algorithms

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.

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2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)

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