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改进的蚁群算法在飞行路径模型中的应用

牟德一 刘金凤

计算机工程与科学2012,Vol.34Issue(6):136-139,4.
计算机工程与科学2012,Vol.34Issue(6):136-139,4.DOI:10.3969/j.issn.1007-130X.2012.06.027

改进的蚁群算法在飞行路径模型中的应用

An Improved Ant Colony Algorithm for Aircraft Routing

牟德一 1刘金凤1

作者信息

  • 1. 中国民航大学理学院,天津300300
  • 折叠

摘要

Abstract

It is prescribed that all the aircraft will undergo maintenance after a certain hours to make sure the safety of the aircraft. Every maintenance should be completed in a certain airport when the maintenance cost is considered. How to schedule a reasonable maintenance routing making sure that the aircraft can come back to the certain airport periodically is the key to this study. For simplicity,this paper describes this problem for one maintenance base and single type of aircraft. Ant colony algorithm is introduced to the problem and improved in parameter setting, and pheromone update. The results of the simulation indicate the proposed algorithm has better efficiency and optimization performance.

关键词

飞行路径/蚁群算法/信息素/优化

Key words

flying routing/ ant colony algorithm/ pheromone optimization

分类

信息技术与安全科学

引用本文复制引用

牟德一,刘金凤..改进的蚁群算法在飞行路径模型中的应用[J].计算机工程与科学,2012,34(6):136-139,4.

基金项目

中央高校基本科研业务费资助项目(GRANT:ZXH2011C008) (GRANT:ZXH2011C008)

中国民航大学校级科研项目(2011kys003) (2011kys003)

计算机工程与科学

OA北大核心CSCDCSTPCD

1007-130X

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