Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management

Abstract:

Article Preview

The major goal of air traffic management is to strategically control the flow of airport traffic. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation in airport environment. This paper uses the concept of dynamic receding horizon control (DRHC) to conduct real-time planning for airport capacity management. A gene algorithm is then designed from DRHC point of view. It is shown that DRHC provides a generic and flexible framework for developing real-time allocation algorithms for airport capacity in a dynamic and uncertain environment. Simulation results show that the algorithm is effective and efficient to solve the problem.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

561-564

DOI:

10.4028/www.scientific.net/AMM.48-49.561

Citation:

J. Q. Liu and X. L. Guan, "Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management", Applied Mechanics and Materials, Vols. 48-49, pp. 561-564, 2011

Online since:

February 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.