Air Traffic Control is involved in the real-time planning of aircraft trajectories. This problem is a heavily constrained optimization problem. We concentrate on free-route planning, in which aircraft are not required to fly over way points. The choice of a proper representation for this real-world problem is non-trivial. We propose a two level representation: one level on which the evolutionary operators work, and a derived level on which we do calculations. Furthermore we show that a specific choice of the fitness function is important for finding good solutions to large problem instances. We use a hybrid approach in the sense that we use knowledge about air traffic control by using a number of heuristics. We have built a prototype of a planning tool, and this resulted in a flexible tool for generating a free-route planning of minimal cost, for a number of aircraft.

Ordinary Differential Equations (acm G.1.7), Problem Solving, Control Methods, and Search (acm I.2.8), MISCELLANEOUS (acm J.m)
Problem solving (heuristics, search strategies, etc.) (msc 68T20)
Department of Computer Science [CS]

van Kemenade, C.H.M, Hendriks, C.F.W, Hesselink, H.H, & Kok, J.N. (1995). Evolutionary computation in air traffic control planning. Department of Computer Science [CS]. CWI.