A Novel Particle Swarm Optimization Applied to Multi-flight Refueling Service Scheduling

摘要：

Optimization of multi-flight refueling service scheduling is very important for the recovery efficiency of flight delays. After analyzing the constraints and objective of multi-flight refueling service scheduling problem, a model is put forward. A novel particle swarm optimization is designed to solve the problem. A two-dimensional particle representation and a method for generating flight scheduling solution are defined. Simulations are carried out by using flight data from a domestic airport. The results show that the novel algorithm has advantages of optimization over other scheduling algorithms, and the purposes of optimizing scheduling and improving recovery efficiency of flight delays are achieved.

关键词： Particle swarm optimization Multi-flight refueling service scheduling Evolutionary strategy

作者: Jianli Ding Xinru Wang Tao Xu Weiqiang Liu

作者单位: College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, P. R College of Computer Science, Sichuan University, Chengdu 610064, P. R. China

会议类型: 国际会议

会议名称: The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)

会议地点: 成都

会议语种:英文

页码: 1482-1486

在线出版日期: 2007-10-15（万方平台首次上网日期，不代表论文的发表时间）