Title :
3D airspace design by evolutionary computation
Author :
Delahaye, Daniel ; Puechmorel, Stephane
Author_Institution :
ENAC, Toulouse
Abstract :
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed method may be applied to many other areas. This problem consists in finding a cutting of a 3D volume into sectors in order to balance the weights of sectors and which minimizes the flow cut on sector boundaries. A mathematical modeling of this problem has been proposed for which state space, objective functions and constraints are defined. The complexity of such problem being NP_Hard, stochastic optimization have been used to address it. An Evolutionary Algorithm has been implemented for which chromosome coding and operators have been developed. Realistic problem instances have been tested on this algorithm for which the solutions produced fulfill our objective.
Keywords :
air traffic control; computational complexity; evolutionary computation; optimisation; 3D airspace design; 3D cutting; NP_Hard; air traffic management; airspace sectoring; evolutionary algorithm; geometrical space; stochastic optimization; Aerospace control; Air safety; Air traffic control; Aircraft; Biological cells; Evolutionary computation; Mathematical model; State-space methods; Stochastic processes; Traffic control;
Conference_Titel :
Digital Avionics Systems Conference, 2008. DASC 2008. IEEE/AIAA 27th
Conference_Location :
St. Paul, MN
Print_ISBN :
978-1-4244-2207-4
Electronic_ISBN :
978-1-4244-2208-1
DOI :
10.1109/DASC.2008.4702803
