基于DAG和AHP-TOPSIS算法的多乘员协同任务分配方法研究

In this study, we propose a multicrew cooperative display and control task dynamic allocation method based on a direct acyclic graph (DAG) and an analytic hierarchy process-technique for order preference by similarity to an ideal solution (AHP-TOPSIS) algorithm. Based on a list scheduling algorithm, the crew tasks are decomposed and divided into levels by tasks. Through breadth traversal, the tasks at each level are sorted and then assigned one by one. The AHP-TOPSIS algorithm is used to determine the best assignment object for a single task according to the mental load, personal ability, time cost, and task correlation of the crew, and then the crew status is updated in real time for the next task assignment until all the tasks are assigned. This method realizes reasonable allocation and dynamic adjustment for the crew cooperative display control tasks when the battlefield situation, combat tasks, and crew status change. It also resolves the issues of inefficiency and poor robustness in dealing with unexpected events under the original task allocation mechanism and can effectively improve the efficiency of multicrew cooperative combat.