The attack and strike of fighter planes is one of the effective means of attack for the current air force. In order to improve the safety of penetration flight, and to promote the probability of running task successfully, the probability model of our aircraft being shot down on the airway is built. By improved genetic algorithm, the probability of being shot down as fitness function, and the distance between an individual and solution space as punishment function, the best solution, i.e.the airway with minimum probability of aircraft being shot down, can be found. Constrained optimal save strategy is being used to prevent the solution from early convergence. Variable arithmetic hybrid operator can limit the individual in solution space. As the result, after 150 times performance, the best airway of flight can be gotten as O(120.0,550.0),A(226.2,495.7),B(345.8,364.3),T(330.0,180.0), whose probability of being shot down is 0.019 3.


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    Title :

    Penetration Flight Planning Based on Improved Genetic Algorithm


    Contributors:
    Li Han (author) / Yao Dengkai (author) / Zhao Guhao (author)


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





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