Abstract
The article combines mathematical models to describe the multi-customer air cargo routing problem. Aiming at the coding problems in standard genetic algorithms and the large number of non-feasible solutions after crossover and mutation, this paper proposes a new feasible method–two-generation competition and steady-state genetic operator design. Finally, the model solving method and steps based on improved genetic algorithm are given. The example calculation shows that the method can provide scientific and effective support for the decision of the route selection problem in the air cargo system.
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