【摘要】 针对航空运输机场常用的平行跑道隔离运行模式，研究了考虑航空排放影响的机场跑道隔离运行调度问题。在兼顾安全、容量、效率和环境等利益需求的条件下，建立了机场跑道隔离运行调度多目标优化模型，基于带精英策略的非支配排序遗传算法，提出了基于“三重导向个体优选”机制的机场跑道隔离运行调度多目标进化算法，对所建优化模型进行了快速求解。仿真实验表明：与经典的先到先服务策略相比，优化调度策略可显著降低航班延误时间和航空污染物排放量，可将92.4%的航班延误时间控制在15 min以内，有效提升了高密度机场的跑道运行性能和航班运行效率。更多还原

【Abstract】 Considering the impact of aviation emissions, the problem of optimized scheduling for runway operations is studied to solve the commonly used runway configuration of segregated operations in air transport airports.A multi-objective optimization model for airport runway scheduling under segregated operations is formulated, by taking into account the interests of safety, capacity, efficiency and environment.Based on the non-dominated sorting genetic algorithm with elite strategy, an improved multi-objective evolutionary algorithm is designed to rapidly search the solutions of proposed formulation, with the "triple-guidance individual selection" mechanism.Simulation experiments show that, compared with the classic First-Come-First-Served strategy, the optimized scheduling strategy is more effective, which can significantly reduce the flight delays and aviation pollutant discharge level.Under the optimized strategy, the delay of 92.4% flights can be controlled within 15 minutes.The proposed method can significantly enhance the runway operation performance and flight efficiency at high-density traffic airports.更多还原