摘要
为了使航空公司的效益最大化,降低运营成本,结合实际航空公司情况,以燃油成本、时间成本、碳排放量最优和起降费用最低建立目标函数。与此同时,以航空公司座位的限制、起降条件的限制和航班覆盖率等作为约束条件,建立多目标的函数模型。采用遗传算法,利用编程软件对创建的多目标模型进行求解与分析。结合实际航空公司的数据,将所优化的模型进行求解,使航空公司的运营成本减少,达到优化的目的。
In order to maximize the benefits of airlines and reduce operating costs,through the research of previous articles,combined with the actual situation of airlines,the objective function is established with the optimal fuel cost,time cost,carbon emissions and the lowest take off and landing costs.At the same time,the multi objective function model is established with the restrictions of airline seats,take off and landing conditions and flight coverage.The genetic algorithm is used to solve the multi objective problem.Finally,combined with the actual airline data,the optimized model is solved,so that the airline′s operating costs can be reduced and the purpose of optimization can be achieved.So that the operation of the fleet to achieve the best configuration,which also provides theoretical and practical help for other airlines in the future fleet optimization.
作者
赵龙
王影
ZHAO Long;WANG Ying(Shenyang University of Aeronautics and Astronautics,Shenyang 110000,China)
出处
《航空计算技术》
2021年第3期18-21,共4页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(61671141)
辽宁省教育厅系列项目资助(L201723)。
关键词
最优规划
多目标规划
遗传算法
运行成本
optimal programming
multi objective programming
genetic algorithm
operation cost
