摘要
为降低航空公司的运营成本,从航线长度、航班总次数、乘客数量、航班间隔、票价、机组人数、人员薪金、飞行油耗8个关键因素考虑,设计航班时刻优化的数学模型,利用遗传算法求解该模型,并借助Java平台开发出可视化系统。实验表明该系统具有很好的鲁棒性,能有效降低航空公司的运营成本,提高利润值。
To reduce the airline＇s cost,this article designs an optimized mathematic model for flight schedule by considering eight key factors,such as the length of air route,total number of flights,number of passengers,intervals of flights,price of tickets,number of crewmen,personnel salary and fuel consumption. We solve the model with genetic algorithm and develop a visualized system with the Java platform. Experiments results show that the system is of good robustness and could reduce the operation cost of airlines and increase the profits effectively.
出处
《计算机与现代化》
2017年第1期106-110,共5页
Computer and Modernization
基金
国家自然科学基金资助项目(60672167)
国家质检总局科技计划项目(2014QK094)
关键词
关键因素
航班时刻表
算法设计
遗传算法
系统实现
key factors
flight schedule
algorithm design
genetic algorithm
system implementation
