基于类型匹配的多UAVs协同任务分配研究OA

In response to the differences in task types and UAV performance in multiple UAVs mission assignment,a task-in-tegrated team-based distributed planning architecture is proposed,which combins the advantages of centralized and distributed structures.For the optimization approach,a differential evolution estimation of distribution algorithm is introduced,which inte-grates the global search capability of estimation of distribution algorithms with the local search ability of differential evolution algo-rithms.Simulation results demonstrate the effectiveness of the assignment strategy based on task type matching,and the conver-gence of the fitness function confirms the applicability of the hybrid algorithm,and mission execution performance is significantly enhanced under task type matching conditions.