Aiming at the complex multi-constraint weapon target assignment problem, an improved fireworks algorithm is proposed in this paper, which introduces reverse learning strategy to the traditional method. The reverse learning strategy enables the algorithm to have greater exploration and mining ability. Simulation results show that the proposed algorithm has faster calculation speed and stronger robust capability to avoid falling into the local convergence than the conventional ones.


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    Titel :

    Weapon Target Assignment Based on Improved Fireworks Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Qu, Yaohong (Autor:in) / Wang, Wenlong (Autor:in) / Wang, Kai (Autor:in) / Du, Qingyu (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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