Aimed at the characteristic of whole task completion time constraint and single task time window constraint of task allocation in multiple aerial grouping, the time constraint mathematical model in pursuit of maximal task execute efficiency is established. The wastage of group resource in combat is analyzed, and grouping resource capability dynamical renewal model is built so as to make the model adapt to the realistic situation. The circulative Nested-DLS task allocation algorithm is advanced based on nested dynamic list scheduling, in which the dynamic list scheduling selected task and the quantum genetic algorithm chosen best group for the task. At last, the superiority and applicability of this approach are illuminated by using the simulation of campaign assumption.