DocumentCode :
3334672
Title :
Air traffic control using genetic search techniques
Author :
Cheng, V.H.L. ; Crawford, L.S. ; Menon, P.K.
Author_Institution :
Optimal Synthesis Inc., Palo Alto, CA, USA
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
249
Abstract :
Genetic search techniques constitute an optimization methodology effective for solving discontinuous, non-convex, nonlinear, or non-analytic problems. This paper explores the application of such techniques to a non-analytic event-related air traffic control problem, that of runway assignment, sequencing and scheduling of arrival flights at an airport with multiple runways. Several genetic search formulations are developed and evaluated with a representative arrival traffic scenario. The results exemplify the importance of the selection of the chromosomal representation for a genetic search problem
Keywords :
air traffic control; airports; genetic algorithms; scheduling; search problems; air traffic control; airport; arrival traffic scenario; chromosomal representation; genetic search techniques; nonanalytic event-related problem; optimization methodology; runway assignment; scheduling; sequencing; Air traffic control; Airports; Biological cells; Biological system modeling; Flowcharts; Genetic mutations; Genetic programming; Optimization methods; Search methods; Search problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5446-X
Type :
conf
DOI :
10.1109/CCA.1999.806209
Filename :
806209
Link To Document :
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