3D airspace design by evolutionary computation

Daniel Delahaye (1) , Stéphane Puechmorel (1)

1 ENAC - Ecole Nationale de l'Aviation Civile

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.

Mots clés: biological cells; evolutionary computation; mathematical model; state-space methods; stochastic processes; traffic control; aerospace control; air safety; air traffic control; aircraft

Domaines: Optimisation et contrôle [math.OC]

Daniel Delahaye, Stéphane Puechmorel. 3D airspace design by evolutionary computation. DASC 2008, 27th IEEE/AIAA Digital Avionics Systems Conference, Oct 2008, St Paul, United States. pp 3.B.6-1 - 3.B.6-13, ⟨10.1109/DASC.2008.4702803⟩. ⟨hal-00938409⟩