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基于改進離散布谷鳥算法的干擾資源分配研究

李東生 高楊 雍愛霞

李東生, 高楊, 雍愛霞. 基于改進離散布谷鳥算法的干擾資源分配研究[J]. 電子與信息學報, 2016, 38(4): 899-905. doi: 10.11999/JEIT150726
引用本文: 李東生, 高楊, 雍愛霞. 基于改進離散布谷鳥算法的干擾資源分配研究[J]. 電子與信息學報, 2016, 38(4): 899-905. doi: 10.11999/JEIT150726
LI Dongsheng, GAO Yang, YONG Aixia. Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(4): 899-905. doi: 10.11999/JEIT150726
Citation: LI Dongsheng, GAO Yang, YONG Aixia. Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(4): 899-905. doi: 10.11999/JEIT150726

基于改進離散布谷鳥算法的干擾資源分配研究

doi: 10.11999/JEIT150726
基金項目: 

國家自然科學基金(61179036)

Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm

Funds: 

The National Natural Science Foundation of China (61179036)

  • 摘要: 該文對二次雷達機制的協(xié)同式敵我識別系統(tǒng)的干擾資源分配問題進行研究,將離散布谷鳥算法(Discrete Cuckoo Search, DCS)引入敵我識別系統(tǒng)的干擾資源分配問題。首先給出協(xié)同式敵我識別系統(tǒng)的干擾效果評估指標,建立干擾資源分配模型,將模型簡化為一對一、多對少模型,使用DCS算法求解模型。針對Levy飛行后期出現(xiàn)搜索速度慢和精度低的問題,將遺傳算法中的交叉與變異操作引入DCS算法得到改進的離散布谷鳥算法(Improved Discrete Cuckoo Search, DCS),用以求解分配模型。仿真分析表明:所提干擾效果評估指標可以合理地評估干擾效果;IDCS算法比IDCS算法收斂更快、耗時更短;IDCS算法與做出相應改進的遺傳算法(Improved Genetic Algorithm, IGA)相比具有更好的尋優(yōu)能力。
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出版歷程
  • 收稿日期:  2015-06-15
  • 修回日期:  2015-11-27
  • 刊出日期:  2016-04-19

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