Real-time construction of aircraft landing schedules using an evolutionary algorithm

Urquhart, Neil

Abstract

This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evolve improvements to the solution so as to move towards an optimum solution. By using the EA to evolve gradual improvements to an existing feasible solution, a feasible solution is always maintained, an important consideration in a safety critical area such as air traffic control.

Citation

Urquhart, N. (2006, July). Real-time construction of aircraft landing schedules using an evolutionary algorithm. Presented at Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06, Seattle, Washington, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06
• Start Date: Jul 8, 2006
• End Date: Jul 12, 2006
• Publication Date: Jul 8, 2006
• Deposit Date: Feb 16, 2010
• Publicly Available Date: Feb 16, 2010
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Book Title: Genetic and Evolutionary Computation Conference (GECCO)
• ISBN: 1595931864
• DOI: https://doi.org/10.1145/1143997.1144309
• Keywords: real-world applications; evolutionary algorithms; dynamic aircraft landing problem; algorithms
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/3457
• Publisher URL: http://doi.acm.org/10.1145/1143997.1144309
• Contract Date: Feb 16, 2010