Long-range Multi-point Air Refueling Planning Based on Improved Genetic Algorithm
In order to solve the problem of multiple in-flight refueling mission planning during the long-range raid mission,a multi-point in-flight refueling model is established with comprehensive consideration of the timeliness and economy of the mission.The standard genetic algorithm is improved to make it have faster search speed and computational efficiency.The mission is divided into several stages and different methods are used to select the refueling points.The simulation results show that this method can effectively solve the problem of selecting refueling points in multi-point air refueling during long range attack missions.
long range attackmulti-point air refuelingair refueling programimproved genetic algorithmrouting optimization
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