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A comparison between GA, PSO, and IWO for shaped beam reflector antennas

机译：成形波束反射器天线的GA，PSO和IWO之间的比较

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This paper presents a comparison between three evolutionary algorithms (EAs) for pattern synthesis of offset reflector antenna fed by a planar array of horn antennas. To perform the optimization process, an elliptical-shaped beam in the U-V plane (U = sin theta cos phi and V = sin theta sin phi) is considered as the desired far-field radiation pattern. To attain the appropriate excitation value for array elements, three conditions are considered: (1) variable amplitude (with uniform phase distribution), (2) variable phase (with uniform amplitude distribution), and (3) variable amplitude and phase excitation. Obtaining the appropriate excitation value based on the mathematical methods is always complicated and time-consuming. Therefore, genetic algorithm (GA) and particle swarm optimization (PSO) as two well-known EAs have been used widely for different applications and shown the promise to solve complicated problems. This paper compares these two EAs with invasive weed optimization (IWO) which is robust and has simple and powerful process with few tuning parameters. We found that for pattern synthesis of multi-feed reflector antenna in different conditions, IWO can provide accurate and comparable results with GA and PSO methods at approximately same iteration number. The convergence diagrams as well as the optimized radiation patterns for different conditions are presented and compared for GA, PSO and IWO.
机译：本文介绍了三种由角形天线平面阵列馈电的偏移反射器天线的方向图合成的进化算法（EA）的比较。为了执行优化过程，将U-V平面中的椭圆形光束（U = sin theta cos phi和V = sin theta sin phi）视为所需的远场辐射方向图。为了获得适合阵列元件的激励值，应考虑三个条件：（1）可变幅度（具有均匀的相位分布），（2）可变相位（具有均匀的幅度分布）和（3）可变幅度和相位激励。基于数学方法获得合适的激励值总是复杂且耗时的。因此，遗传算法（GA）和粒子群优化（PSO）作为两个著名的EA已被广泛用于不同的应用程序，并显示出解决复杂问题的希望。本文将这两种EA与侵入性杂草优化（IWO）进行了比较，后者具有鲁棒性，并且具有简单且功能强大且调整参数很少的过程。我们发现，对于不同条件下的多馈反射器天线的方向图合成，IWO可以在近似相同的迭代次数下使用GA和PSO方法提供准确和可比的结果。给出了收敛图以及针对不同条件的优化辐射图，并对GA，PSO和IWO进行了比较。

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