Research on Mission Planning of Unmanned Swarm Strike Based on TC-PA

To address the extensive computation and communication requirements in large-scale unmanned swarm target strikes, this paper proposes a two-layer mission planning method to enhance the planning speed: Layer 1, the target points are clustered and assigned; Layer 2, the sequence of unmanned cluster attacks is optimized. The algorithm incorporates a risk factor and introduces the pheromone update mechanism for the optimal path. Simulation results demonstrate a significant improvement in planning speed with the two-layer task planning method compared to the traditional approach.