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

DOI

10.2991/iske.2007.181How to use a DOI?

Keywords

particle swarm optimization; multi-flight refueling service scheduling; evolutionary strategy

Abstract

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.

Copyright

© 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/).

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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  -