A radar adopts anti-jamming techniques such as side lobe cancellation and moving target indication, resulting in the worsening of the effects of single active jamming and passive jamming. Therefore a compound jamming strategy was proposed and can effectively respond to the anti-jamming device of the new radar. The conditions for the use of this strategy were defined. Based on the military airspace planning principles, taking into account human error, wind and other errors, the specific process of airspace planning was elaborated. Taking into account the effects of compound jamming and the safety of a jammer, an airspace model for stand-off and compound jamming was established. The Whale Optimization Algorithm (WAO) with Tent chaotic sequence was used to solve the model and the airspaces with different preferences were planned. The simulation results show that the model is scientific and effective. The optimization ability of the WOA of with tent chaotic sequence is better than WAO. In addition, the planning direction is quite different in Simulation 1 and Simulation 2, with a maximum of 99°. The compound jamming for stand-off jamming in airspace planning is more flexible and has more advantages in multiple military planning airspaces.

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A Mixed Integer Linear Programming (MILP) model for Non-strict Uncapacitated Multi-allocation p-hub Median Problem (NSUMApHUMP) is established. Applied genetic algorithm to the hub and spoke locations to minimize the total costs of airline network. Exact solutions of the model are obtained by encoding individual structure correctly and improving genetic operator according to this MILP model and hub-and-spoke network configuration. The instance analysis validates strong feasibility of the model and high efficiency of the proposed genetic algorithm for NSUMApHUMP.

This paper focuses on the issue of designing of conflict-free airline network Based on the free connecting lines and undirected graph structured by Maklink Graph method, a free airspace model was established, which provided alternative air passages for restricted airspace of airline network. Take the impact of restricted airspace on airline network into consideration, a fast airspace conflict detection algorithm was proposed to realize the whole airspace conflict detection for airline network, and invoked the Dijkstra algorithm for path replanning of airlines to structure the drivable airline network with the consideration of restricted airspaces.

Starting from the reality of airlines, this paper studies the operational risk and control methods of airlines, establishes relevant risk index system, and formulates corresponding control methods. Based on the four aspects of human, aircraft, environment and management, the risk index system is established. The weight of the index and the score of each system are determined by using the analytic hierarchy process and the fuzzy comprehensive evaluation respectively, and the airline risk evaluation model is established. In the formulation of airline management and control methods, genetic algorithm is used to compare different flight task combinations, and the advantages of this method are obtained.