For the problems of task sequential logic constraints and resource occupancy conflicts among equipment efficient support task scheduling, a mathematical model in pursuit of the priority of task implementation time is established, a hybrid task scheduling method based on multi-dimensional dynamic list scheduling(MDLS) and the chaotic bat algorithm is proposed. In the proposed method, the task to be disposed is selected by MDLS, then the discrete chaotic bat algorithm(DCBA) with the adaptive searching strategy and mutation operator is designed to allocate the resource to the selected task. Inertia weight and acceleration coefficients are adjusted adaptively in global search to coordinate the exploration and exploitation ability, and the chaotic mutation operator is adopted in local search to help the swarm jump out from local optimum. The simulation example illustrates that the proposed method has better performance in convergence speed and solving precision.