Electronics Optics & Control, Volume. 25, Issue 5, 41(2018)

Interference Resource Allocation Based on Improved Genetic Algorithm

ZONG Si-guang, LIU Tao, and LIANG Shan-yong
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    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.

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    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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    Paper Information

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    Received: Oct. 14, 2017

    Accepted: --

    Published Online: Jun. 29, 2018

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.05.009

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