Improved Gray Wolf Optimization for Carrier Aircraft Landing Scheduling Under Class One Mode with Multi-Objective Considerations

The carrier aircraft landing scheduling problem under Class one landing mode is studied, and a landing scheduling model is established with the optimization objectives of minimizing the weighted sum of landing delay time, and landing completion time. The effects of carrier aircraft battle damage degree and remaining fuel quantity are considered in the model. To reduce the burden of manual scheduling, an improved gray wolf optimization algorithm is proposed to optimally solve the scheduling model. On the basis of the gray wolf optimization algorithm, the improved algorithm chooses the historical optimal solution gray wolf individual as wolf, introduces chaos operator, and sets the control variable to control the updating of the algorithm parameter, to cope with the shortcomings of slow convergence in the late stage of optimization and possible falling into local optimal solutions. The effectiveness of the improved gray wolf optimization algorithm is verified through the simulation and comparison with different optimization algorithms. The algorithm outperforms the comparison algorithms in the landing scheduling cases with 30,60 and 90 aircraft, indicating that it has some engineering application value.