With the widespread application of cruise missile technology and the increasing complexity of mission execution, the mission planning of cruise missile formations is facing new challenges. A multi patrol missile pre war planning task allocation model based on multiple constraints is constructed, with the optimization objectives of mission value return and mission loss cost, while considering various practical constraints such as task execution timing. To solve the model, an improved genetic algorithm based on simulated annealing is designed, which adjusts the adaptive selection strategy and adaptive crossover strategy based on the population fitness of different periods, ensuring convergence while increasing population diversity. Finally, the effectiveness of the designed improved algorithm in solving the task allocation problem of multiple patrol missiles was verified through a case study.


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    Titel :

    Prewar planning task assignment method for cruise missile formation




    Erscheinungsdatum :

    2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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