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dc.contributor.authorWeiszer, Michal
dc.contributor.authorChen, Jun
dc.contributor.authorStewart, Paul
dc.date.accessioned2016-10-17T18:37:20Z
dc.date.available2016-10-17T18:37:20Z
dc.date.issued2015-09-15
dc.identifier.citationWeiszer, M. Chen, J. and Stewart, P. (2015) 'Preference-Based Evolutionary Algorithm for Airport Runway Scheduling and Ground Movement Optimisation ' IEEE 18th International Conference on Intelligent Transportation Systems, Pages: 2078 - 2083, DOI: 10.1109/ITSC.2015.336en
dc.identifier.isbn9781467365963
dc.identifier.issn2153-0009
dc.identifier.issn2153-0017
dc.identifier.doi10.1109/ITSC.2015.336
dc.description.abstractAs 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.
dc.description.sponsorshipThis research is part-funded by EPSRC Grant EP/H004424/1: Integrating and Automating Low Carbon Airport Operations.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7313428/en
dc.relation.urlhttp://www.itsc2015.org/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectEvolutionary computingen
dc.subjectAirport ground movementen
dc.subjectAirport operationsen
dc.titlePreference-based evolutionary algorithm for airport runway scheduling and ground movement optimisationen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProceedings of the 18th International Conference on Intelligent Transportation Systemsen
refterms.dateFOA2017-10-17T00:00:00Z
html.description.abstractAs 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.


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