Research on multiple kill vehicles firepower distribution strategy based on adjust genetic algorithm

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.