Paper Title:
Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management
  Abstract

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, 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
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