基于拍卖机制的无人集群动态任务规划方法OA

A dynamic task planning method based on auction mechanism is proposed to address the common problems of high complexity of cluster behaviors and high communication costs of real-time decision-making for agents in unmanned swarm task planning.Research on resource allocation and consensus assignment methods based on auction mechanism guided by biological swarm characteristics is carried out to realize regional assembly and task assignment decision-making for large-scale heterogeneous agents.Compared with the traditional Cuckoo Search(CS)algorithm and Genetic Algorithm(GA),this method has stronger optimization ability,with the total revenue of task assignment decisions increased by 18.64%.It can achieve consistent allocation of multiple tasks,providing a potential solution for breaking through the bottleneck of high costs in information warfare.