Research on multi-order target allocation modeling and optimization algorithm of anti-UAV

For ground air defense weapon system against drones, especially more to more game against target allocation decision problem, using the traditional linear planning algorithm, solve the optimal solution may appear no solution, especially to introduce multilevel control, artificial intervention, influencing factors such as movement and UAV tactics, undoubtedly increased the problem domain and the complexity of solving space. In order to solve this problem, the conceptual model of agile anti-UAV is constructed; then, the multi-order target allocation model of large system is developed; finally, the practical heuristic algorithm is given based on the series system assumption. Through simulation verified the model can effectively overcome the solution complexity while satisfactory or feasible solution, can adapt to the agile combat environment drones "sentinel, distributed, large-scale, flexible" use characteristics, reflects the decision between the superior and lower hierarchy and the correlation between distributed fire units, for multi-level against drone related system joint mission planning modeling provides a new way of thinking.