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Research on Multiple Kill Vehicles Firepower Distribution Strategy Based on Adjust Genetic Algorithm

机译:基于调整遗传算法的多重杀戮车辆火力分布策略研究

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Ballistic missile is of great strategic and tactical deterrent. However, it will bring great difficulty and challenge to anti-missile in the middle of ballistic flight because of the isolated multiple warheads and baits. Multiple Kill Vehicles interceptors are still in the start of the study and there has not been a mature methods published. From the point of middle intercepting ballistic missiles, this paper constructs a model of multi-interception fire allocation and uses a kind of adaptive genetic algorithm to solve the model.From the simulation results we can see that it has accelerated the algorithm convergence speed and improved the algorithm of exploration ability through the group automatic adjustment crossover probability and the mutation rate. It has solved the interceptors task assignment problem effectively, has a certain reference value to ballistic missile defense.
机译:弹道导弹具有巨大的战略和战术威慑力。然而,由于孤立的多个弹头和诱饵,它将在弹道飞行中间对抗导弹带来很大的困难和挑战。多次杀死车辆拦截器仍在研究开始,并且没有发布成熟的方法。从中间拦截弹道导弹开始,本文构建了一种多拦截火灾分配模型,并使用一种自适应遗传算法来解决模型。从仿真结果中可以看到它加速了算法收敛速度和改进通过群体自动调整交叉概率和突变率来探测能力算法。它有效解决了拦截器任务分配问题,对弹道导弹防御具有一定的参考价值。

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