Multiairport capacity management: genetic algorithm with receding horizon

The inability of airport capacity to meet the growing air traffic demand is a major cause of congestion and costly delays. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation of an airport. This paper reports on a novel method to attack this dynamic proble...

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Bibliographic Details

Main Authors:	Xiao-Bing Hu, Wen-Hua Chen, Ezequiel A. Di Paolo
Format:	Default Article
Published:	2007
Subjects:	Other engineering not elsewhere classified Artificial intelligence not elsewhere classified Air traffic control Airport capacity management (ACM) Genetic algorithm (GA) Receding horizon control (RHC) Terminal penalty Artificial Intelligence and Image Processing Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/4006
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