A problem faced by all major airports around the world is that of scheduling aircraft to land on available runways. A number of management and safety constraints must be satisﬁed when determining appropriate landing times for individual planes. This paper utilises a system based on biological principals, ant colony optimisation, in order to solve this problem. Some novel modiﬁcations are made to the basic algorithm and some competitive solutions for problems with up to 50 aircraft are generated.
|Title of host publication||IASTED International Conference on Artificial Intelligence and Soft Computing|
|Place of Publication||Banff|
|Number of pages||5|
|Publication status||Published - Jul 2002|
Randall, M. (2002). Scheduling Aircraft Landings with Ant Colony Optimisation. In H. Leung (Ed.), IASTED International Conference on Artificial Intelligence and Soft Computing [357-020]. http://www.actapress.com/Abstract.aspx?paperId=26022