Biasing XCS with Domain Knowledge for Planning Flight Trajectories in a Moving Sector Free Flight Environment
Kuang-Yuang Chen
Hai Huong Dam
Lindsay, P.A.
Abbass, H.A.
ARC Centre on Complex Syst., Queensland Univ.;
This paper appears in: Artificial Life, 2007. ALIFE '07. IEEE Symposium on
Publication Date: 1-5 April 2007
On page(s): 456-462
Location: Honolulu, HI,
ISBN: 1-4244-0701-X
INSPEC Accession Number: 9507397
Digital Object Identifier: 10.1109/ALIFE.2007.367830
Current Version Published: 2007-06-04
Abstract
Free flight is a new concept in air traffic management, where pilots are given more freedom in making decisions in the cockpit. This allows air traffic controllers to manage more flights. One of the concepts under investigation in the Australian airspace is moving sectors, where an air traffic controller becomes responsible of a moving volume of the space containing a group of airplanes. Planning flight trajectories in this group is a hard problem. In this paper, we show that XCS can be used as a reliable planning tool. We also propose a novel idea for incorporating hard constraints within XCS to increase its reliability
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