Evolutionary Computation for Sparse Synthesis Optimization of CCAAs: An Enhanced Whale Optimization Algorithm Method

doi:10.3390/fi14120347

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	Evolutionary Computation for Sparse Synthesis Optimization of CCAAs: An Enhanced Whale Optimization Algorithm Method
	B. Tang; L. Cai; S. Yang; J. Xu and Y. Yu
	2022
发表期刊	Future Internet
ISSN	19995903
卷号	14 期号:12
摘要	Concentric circular antenna arrays (CCAAs) can obtain better performance than other antenna arrays. However, high overhead and excessive sidelobes still make its application difficult. In this paper, we consider the sparse synthesis optimization of CCAAs. Specifically, we aim to turn off a specific number of antennas while reducing the sidelobe of CCAAs. First, we formulate an optimization problem and present the solution space. Then, we propose a novel evolutionary method for solving the optimization problem. Our proposed method introduces hybrid solution initialization, hybrid crossover method, and hybrid update methods. Simulation results show the effectiveness of the proposed algorithm and the proposed improvement factors. 2022 by the authors.
DOI	10.3390/fi14120347
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收录类别	ei
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文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66646
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	B. Tang,L. Cai,S. Yang,et al. Evolutionary Computation for Sparse Synthesis Optimization of CCAAs: An Enhanced Whale Optimization Algorithm Method[J]. Future Internet,2022,14(12).
APA	B. Tang,L. Cai,S. Yang,&J. Xu and Y. Yu.(2022).Evolutionary Computation for Sparse Synthesis Optimization of CCAAs: An Enhanced Whale Optimization Algorithm Method.Future Internet,14(12).
MLA	B. Tang,et al."Evolutionary Computation for Sparse Synthesis Optimization of CCAAs: An Enhanced Whale Optimization Algorithm Method".Future Internet 14.12(2022).

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