• Electronics Optics & Control
  • Vol. 25, Issue 5, 41 (2018)
ZONG Si-guang, LIU Tao, and LIANG Shan-yong
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2018.05.009 Cite this Article
    ZONG Si-guang, LIU Tao, LIANG Shan-yong. Interference Resource Allocation Based on Improved Genetic Algorithm[J]. Electronics Optics & Control, 2018, 25(5): 41 Copy Citation Text show less

    Abstract

    To improve the efficiency of networked radar interferencean improved genetic algorithm was designed and applied to interference resource allocation.As to the three allocation models (one-by-onemore-by-lessand less-by-more)the allocation plans were made and the interference benefit value was calculated respectively.Compared with the results of other algorithmsthe improved genetic algorithm not only gets better allocation results and benefit valuebut also needs fewer iterative timeswhich verify the high efficiency of this algorithm.
    ZONG Si-guang, LIU Tao, LIANG Shan-yong. Interference Resource Allocation Based on Improved Genetic Algorithm[J]. Electronics Optics & Control, 2018, 25(5): 41
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