An Optimization Based on General Airport of Complex Condition

With the development of general aviation transportation, general airports are gradually being built, one of the urgent problems to be solved is optimizing the site selection of general airports to improve flight safety and economy. In order to solve this problem, this paper studies the requirements of clearance and flight performance of the general airports, the factors which affect the optimization of airport site selection with the complex terrain are analyzed, the general airport site selection optimization model is established, and designs a multi-objective genetic algorithm to solve the problem. Based on the actual operation data of a general airport, a set of Pareto optimal solutions is obtained, which is better than the traditional method, the validity of the model is fully verified.