A novel particle swarm optimization applied to multi-flight refueling service scheduling

被引：21

作者：

Ding, Jianli ^{[1
]}

Wang, Xinru ^{[1
]}

Xu, Tao ^{[1
]}

Liu, Weiqiang

机构：

[1] Civil Aviat Univ China, Coll Comp Sci & Technol, Tianjin 300300, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007) | 2007年

关键词：

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

D O I：

10.2991/iske.2007.181

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页数：1