基于改进蝗虫优化算法考虑任务威胁的多无人机协同航迹规划

To enable multiple unmanned aerial vehicles (UAVs)to efficiently execute tasks when facing varying degrees of mission threat environments, a collaborative route planning algorithm of UAVs based on improved grasshopper optimization algorithm is proposed. A route planning model is established by taking the comprehensive cost as an objective function. The grasshopper optimization algorithm is improved by introducing a nonlinear descent strategy based on the logistic function. The feasibility of the improved grasshopper optimization algorithm is verified through simulation experiment. The experimental results showed that the improved grasshopper optimization algorithm has faster convergence speed and global search ability, which can provide support for improving the combat effectiveness of unmanned aerial vehicles.