• Electronics Optics & Control
  • Vol. 30, Issue 5, 6 (2023)
JIANG Yan1, WANG Daobo1, LIN Fei2, BAI Tingting1, and JIANG Dandan3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2023.05.002 Cite this Article
    JIANG Yan, WANG Daobo, LIN Fei, BAI Tingting, JIANG Dandan. Unbalanced Target Assignment of Multi-UAV Based on Hungarian-Genetic Algorithm[J]. Electronics Optics & Control, 2023, 30(5): 6 Copy Citation Text show less

    Abstract

    Based on the situation between UAV and target,the modeling and solution of unbalanced target task assignment are studied.Firstly,the situation between UAV and target in air combat battlefield is analyzed,a situation assessment method at a certain moment is proposed,and an unbalanced target assignment model for multiple UAVs is established.Then,the Hungarian-genetic algorithm is adopted to solve the problem.Finally,a simulation example is built for experimental analysis.The simulation results verify the effectiveness of the algorithm and also show that the Hungarian-genetic algorithm can improve the solving efficiency of the model.
    JIANG Yan, WANG Daobo, LIN Fei, BAI Tingting, JIANG Dandan. Unbalanced Target Assignment of Multi-UAV Based on Hungarian-Genetic Algorithm[J]. Electronics Optics & Control, 2023, 30(5): 6
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