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Synthesis of large-scale thinned arrays based on a multiagent genetic algorithm

机译：基于多识别遗传算法的大规模变薄阵列的合成

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摘要

Advanced array synthesis problems are usually nonconvex regarding the costfunctions, which are rather difficult to solve. A numerical stochastic optimizationapproach based on the multiagent genetic algorithm (MAGA) is proposed for thesynthesis of highly thinned arrays in this article. In particular, two modified techniquesare introduced into the traditional MAGA, named as improved MAGA (IMAGA),to obtain the balance between exploration and exploitation ability. Theproposed approach is utilized in some advanced antenna array synthesis problems,including the synthesis of sum and difference patterns and synthesis of severalhighly thinned planar arrays with different apertures. Numerical resultsindicate that the proposed I-MAGA has an attractive exploration and exploitationability in the synthesis of highly thinned arrays. Besides, owing to the independentmultiagent system, the I-MAGA is also able to obtain better solutions with amuch smaller population size and less computational cost.
机译：高级阵列合成问题通常是关于成本的非凸起的功能，难以解决。数值随机优化提出了基于多元素遗传算法（Maga）的方法本文合成高度薄的阵列。特别是两个修改的技术被引入传统的Maga，命名为改进的Maga（Imaga），获得勘探和剥削能力之间的平衡。这在一些高级天线阵列合成问题中使用提出的方法，包括合成总和和差异模式和综合的几个具有不同孔径的高度变薄的平面阵列。数值效果表明拟议的I-Maga有一个有吸引力的探索和剥削合成高度薄阵列的能力。此外，由于独立Multiagent系统，I-Maga还能够获得更好的解决方案人口规模较小，计算成本较少。

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  • 作者

    Xu Yang; Feng Yang; Yanhong Hong; Yankai Ma; Shiwen Yang;

  • 作者单位

    Institute of Space Radio Technology China Academy of Space Technology Xi'an Shanxi China;

    School of Electronic Science andEngineering University of ElectronicScience and Technology of China(UESTC) Chengdu China;

    School of Electronic Science andEngineering University of ElectronicScience and Technology of China(UESTC) Chengdu China;

    School of Electronic Science andEngineering University of ElectronicScience and Technology of China(UESTC) Chengdu China;

    School of Electronic Science andEngineering University of ElectronicScience and Technology of China(UESTC) Chengdu China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    genetic algorithm, multiagent system, thinned array synthesis;

    机译：遗传算法;多层系统;稀土阵列合成;

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