Preference-based evolutionary algorithm for airport runway scheduling and ground movement optimisation
Journal article
Authors | Weiszer, Michal, Chen, Jun and Stewart, Paul |
---|---|
Abstract | As airports all over the world are becoming more congested together with stricter environmental regulations put in place, research on optimisation of airport surface operations started to consider both time and fuel related objectives. However, as both time and fuel can have a monetary cost associated with them, this information can be utilised as preference during the optimisation to guide the search process to a region with the most cost efficient solutions. In this paper, we solve the integrated optimisation problem combining runway scheduling and ground movement problem by using a multi-objective evolutionary framework. The proposed evolutionary algorithm is based on modified crowding distance and outranking relation which considers cost of delay and price of fuel. Moreover, the preferences are expressed in a such way, that they define a certain range in prices reflecting uncertainty. The preliminary results of computational experiments with data from a major airport show the efficiency of the proposed approach. |
Keywords | Evolutionary computing; Airport ground movement; Airport operations |
Year | 2015 |
Journal | Proceedings of the 18th International Conference on Intelligent Transportation Systems |
Publisher | IEEE |
ISSN | 2153-0009 |
2153-0017 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ITSC.2015.336 |
Web address (URL) | http://creativecommons.org/licenses/by/4.0/ |
hdl:10545/620632 | |
Publication dates | 15 Sep 2015 |
Publication process dates | |
Deposited | 17 Oct 2016, 18:37 |
ISBN | 9781467365963 |
Contributors | University of Derby |
File | |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/93625/preference-based-evolutionary-algorithm-for-airport-runway-scheduling-and-ground-movement-optimisation
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