基于多目标时隙优化模型在地面等待策略上的研究

Research on ground waiting strategy based on multi-objective time slot optimization model

如今当产生目的机场流量不足的情况时,航班通常实行地面等待策略,然而地面等待的核心是时隙分配,现在对时隙分配的研究上主要集中于建立单目标优化模型,但是这并不能满足时隙的效率性和公平性,所以本文在此基础上建立了基于航空公司延误成本最少和航空公司平均延误最少的多目标优化模型,并利用改进的模拟退火算法进行求解,最终结果表明利用本文模型相对于RBS模型得到的结果可以初步满足时隙的效率性和公平性。

Nowadays,when the flow of the destination airport is insufficient,the flight usually adopts a ground waiting strategy.However,the core of the ground waiting is the time slot allocation.Now the research on time slot allocation mainly focuses on establishing a single target optimization model,which does not meet the efficiency and fairness of the time slot.After that,this paper establishes a multi-objective optimization model based on the minimum cost of airline delays and the minimum average delay of airlines,and uses the improved simulated annealing algorithm to achieve the solution.The final result shows that the results obtained by the model relative to the RBS model can initially satisfy the efficiency and fairness of the time slot.