摘要
近几年来,随着经济的快速发展选择乘坐飞机出行的人数逐渐增长,这种现象为民航业带来发展的同时,也带来了一系列的挑战,其中由于民航业具有的高成本的特征,因此面对日益增长的需求如何进行机型的选择与航班排班就显得格外重要,本研究通过线性规划的方法建立了机型排班模型并通过收集不同机型及航线信息对模型采用粒子群算法进行了仿真求解,得到了十分具有可靠性的答案,验证了模型的科学性。
In recent years,with the rapid development of economy,the number of people who choose to travel by aircraft increases gradually.This phenomenon not only brings development to civil aviation industry,but also brings a series of challenges.Due to the high cost characteristics of civil aviation industry,it is particularly important how to select aircraft types and schedule f lights in the face of increasing demand.This study adopts linear programming.By collecting the information of different aircraft types and routes,the model is simulated and solved by particle swarm optimization algorithm.The reliable answer is obtained and the scientif ic nature of the model is verif ied.
作者
鲁力
刘晨宇
LU Li;LIU Chengyu(College of Air Traff ic Management,Civil Aviation Flight University of China,Guanghan,Sichuan Province,618307,China)
出处
《科技创新导报》
2021年第5期4-8,共5页
Science and Technology Innovation Herald
基金
中国民用航空局民航发展基金教育人才类项目(项目编号:14002600100018J034)。
关键词
航班排班
排班模型
线性规划
粒子群算法
F light scheduling
Scheduling model
Linear programming
Particle swarm optimization
