DocumentCode :
2002400
Title :
Ant Colony Optimization for aircraft landings
Author :
Farah, Ihsen ; Kansou, Ali ; Yassine, Adnan ; Galinho, Thierry
Author_Institution :
Lab. of Appl. Math. of Le Havre, Univ. of Le Havre, Le Havre, France
fYear :
2011
fDate :
May 31 2011-June 3 2011
Firstpage :
235
Lastpage :
240
Abstract :
We address the problem of determining the arrival sequencing and scheduling for aircrafts in air traffic control system. The overall objective of this problem is the minimization of delay cost. The problem is NP-hard for this reason solving the problem optimally is limited to instances of small sizes. In this paper we treat the static case of ASS problem where all data are known in advance. We begin by proposed a mathematical quadratic integer model, with the constraint of limited time window. After we propose a change of variable in order to make linear the initial quadratic constraints. The second target of this work is to resolve the model by an ant colony algorithm. Numerical simulations are applied to real data to show the effectiveness of our new formulation and our approach. They are presented at the end of this article.
Keywords :
aircraft landing guidance; mathematical programming; quadratic programming; scheduling; NP-hard problem; air traffic control system; aircraft landing; ant colony optimization; delay cost; mathematical quadratic integer model; scheduling; Aerospace control; Aircraft; Aircraft manufacture; Ant colony optimization; Atmospheric modeling; Delay; Numerical models; Air Traffic Control (ATC); Air-Ground Control (AGC); Ant Colony Optimization (ACO); Lienar Integer Program (LIP); Quadratic Integer Program (QIP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics (LOGISTIQUA), 2011 4th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4577-0322-5
Type :
conf
DOI :
10.1109/LOGISTIQUA.2011.5939296
Filename :
5939296
Link To Document :
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