On-line free-flight path optimization based on improved genetic algorithms

被引：33

作者：

Hu, XB ^{[1
]}

Wu, SF ^{[1
]}

Ju, J ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Automat Control, Nanjing 210016, Peoples R China

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2004年 / 17卷 / 08期

关键词：

free flight; flight path; structured airspace; genetic algorithm; chromosome;

D O I：

10.1016/j.engappai.2004.08.015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Free flight (FF) is the ideal strategy of current investigations on air traffic management systems, where an on-line flight path optimization algorithm is of top importance. This paper proposes an innovative algorithm with potential real-time properties for FF path optimization, by using an improved genetic algorithm (GA). Two kinds of mathematical models for the on-line flight path optimization problem are proposed to cover the near and far future applications. Several improvements are introduced to the GA to speed up its convergence as well as to improve performance. Simulation results show that the new algorithm is effective and has potential to solve the on-line FF path optimization problem in real time. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：897 / 907

页数：11

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