Discrete adaptive GWO-based transport scheduling for aircraft between spots on flight deck and hangar

Abstract

Transport scheduling of carrier-based aircraft on flight deck and hangar is an important means of improving the operational efficiency of carrier-aircraft system. In this paper, an improved grey wolf algorithm-based scheduling method is proposed to address the issues of transport scheduling of carrier-based aircraft between spots on flight-deck and hangar. First, a transport path planning algorithm, which combines the improved A* algorithm and the optimal control algorithm is proposed to generate the transport route library between the flight deck and the hangar parking spots. Second, based on optimization objectives such as transport completion time, load balancing of transport groups, and transport time of tractors, as well as constraints on the time, space and resource transfer during the transport process, the mathematical model for transport scheduling is established. Then, a discrete adaptive grey wolf optimization (DAGWO) algorithm is designed to solve the model, in which the strategies of discretizing the optimization variables, setting of pre-constraint, improving parameter are integrated, and global leader wolf strategy, joint mutation, and local restructuring mechanism are also introduced in this algorithm. The effectiveness of the model and the performance of the DAGWO algorithm are verified through simulations and comparisons under multiple missions with different transport scale.