基于多目标猫群优化的非周期线性天线阵综合

2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE) Pub Date : 2015-12-01 DOI:10.1109/ICMOCE.2015.7489733

L. Pappula, D. Ghosh

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引用次数: 0

摘要

提出了一种基于cat群优化的非周期线性天线阵列的Pareto最优综合方法。非周期天线阵的合成是一个高度非线性的多目标问题，需要同时最小化峰值旁瓣电平和首零波束宽度这两个干扰参数。为了解决上述问题，提出了多目标猫群优化算法(MOCSO)，通过优化天线单元位置来确定分歧参数PSLL和FNBW的折衷解。可以从得到的Pareto最优集中选择特定的解，以证明MOCSO方法相对于其他已有的多目标方法的有效性。

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Synthesis of aperiodic linear antenna array using multi-objective cat swarm optimization

Pareto optimal synthesis of aperiodic linear antenna array using cat swarm optimization is proposed in this paper. The synthesis of aperiodic antenna array is a highly nonlinear problem and multi-objective in nature, in which the two dissension parameters like peak sidelobe level (PSLL) and first null beam width (FNBW) have to be minimized simultaneously. To solve the aforementioned problem, multi-objective cat swarm optimization (MOCSO) is proposed to determine the compromised solutions of the dissension parameters PSLL and FNBW by optimizing the antenna element positions. Specific solutions may be chosen from the obtained Pareto optimal set to demonstrate the effectiveness of the MOCSO method over other existed multi-objective methods.

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来源期刊

2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)

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