Scheduling Aircraft Landings with Ant Colony Optimisation

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Abstract

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.
Original languageEnglish
Title of host publicationIASTED International Conference on Artificial Intelligence and Soft Computing
EditorsH Leung
Place of PublicationBanff
Number of pages5
Publication statusPublished - Jul 2002

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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] Banff.