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

doi:10.3390/fi14120347

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	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
刊名	Future Internet
	2022
卷号	14 期号:12
ISSN号	19995903
DOI	10.3390/fi14120347
英文摘要	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.
URL标识	查看原文
内容类型	期刊论文
源URL	[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).