A Novel Particle Swarm Optimization Applied to Multi-flight Refueling Service Scheduling
Jianli Ding1, Xinru Wang, Tao Xu, Weiqiang Liu
1Civil Aviation University of China
Available Online October 2007.
- 10.2991/iske.2007.181How to use a DOI?
- particle swarm optimization; multi-flight refueling service scheduling; evolutionary strategy
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.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jianli Ding AU - Xinru Wang AU - Tao Xu AU - Weiqiang Liu PY - 2007/10 DA - 2007/10 TI - A Novel Particle Swarm Optimization Applied to Multi-flight Refueling Service Scheduling BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1066 EP - 1070 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.181 DO - 10.2991/iske.2007.181 ID - Ding2007/10 ER -