基于改进果蝇优化算法的最大指向性线性天线综合

Nattaset Mhudtongon, C. Phongcharoenpanich, Koki Watanabe
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引用次数: 1

摘要

提出了一种基于自适应果蝇种群大小的改进果蝇优化算法(IMFOA)的最大指向性线性天线阵综合。IMFOA是近年来发展起来的一种高性能算法,适用于求解优化问题。为了显示该方法的通用性,天线设计的目标是通过控制阵列天线的幅度和间距参数来实现线性天线阵列的最大指向性。最后给出了一个设计实例,说明了该方法的应用,给出的优化目标准确且易于实现。通过与MFOA方法和GA/Fminsearch方法的结果比较,验证了IMFOA方法的有效性。最后,IMFOA方法对自由空间线性天线阵的电磁问题具有较好的求解效率和精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear antenna synthesis with maximum directivity using improved fruit fly optimization algorithm
Linear antenna array synthesis with maximum directivity using an improved fruit fly optimization algorithm with adaptive fruit fly swarm population size, namely IMFOA, is presented in this paper. The IMFOA is a recently explored, high-performance algorithm, and suitable for solving the optimization problems. To show the versatility of the presented method, the objective of antenna design is to achieve maximum directivity for linear antenna array by controlling amplitude and spacing parameters of the array antenna. A design example is presented that illustrate the use of the IMFOA, and the optimization goal in example is accurately provided and easily achieved. The result of the IMFOA is validated by comparing with results obtained using the MFOA method, and GA/Fminsearch method. Finally, the IMFOA method is efficient and accurate for electromagnetic problems of the linear antenna array in free space.
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