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Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization

机译:基于多目标正态变异二元猫群算法的薄型平面天线阵综合

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摘要

The process of thinned antenna array synthesis involves the optimization of a number of mutually conflicting parameters, such as peak sidelobe level, first null beam width, and number of active elements. This necessitates the development of a multiobjective optimization approach which will provide the best compromised solution based on the application at hand. In this paper, a novel multiobjective normal mutated binary cat swarm optimization (MO-NMBCSO) is developed and proposed for the synthesis of thinned planar antenna arrays. Through this method, a high degree of flexibility is introduced to the realm of thinned array design. A Pareto-optimal front containing all the probable designs is obtained in this process. Targeted solutions may be chosen from the Pareto front to satisfy the different requirements demonstrating the superiority of the proposed approach over multiobjective binary particle swarm optimization method (MO-BPSO). A comparative study is carried out to quantify the performance of the two algorithms using two performance metrics.
机译:天线阵列合成变薄的过程涉及多个相互矛盾的参数的优化,例如峰值旁瓣电平,第一空波束宽度和有源元件的数量。这就需要开发一种多目标优化方法,该方法将根据手头的应用程序提供最佳的折衷解决方案。本文提出了一种新颖的多目标正态变异二进制猫群优化算法(MO-NMBCSO),并提出了一种用于薄型平面天线阵列的合成方法。通过这种方法,高度的灵活性被引入到薄阵列设计领域。在此过程中获得了包含所有可能设计的帕累托最优前沿。可以从Pareto前端选择目标解决方案以满足不同的需求,这表明了所提出的方法优于多目标二进制粒子群优化方法(MO-BPSO)的优越性。进行了一项比较研究,以使用两个性能指标来量化两种算法的性能。

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