Preference-based evolutionary algorithm for airport runway scheduling and ground movement optimisation

Hdl Handle:
http://hdl.handle.net/10545/620632
Title:
Preference-based evolutionary algorithm for airport runway scheduling and ground movement optimisation
Authors:
Weiszer, Michal ( 0000-0003-3513-5792 ) ; Chen, Jun; Stewart, Paul ( 0000-0001-8902-1497 )
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.
Affiliation:
University of Derby
Citation:
Weiszer, 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.2015.336
Publisher:
IEEE
Journal:
Proceedings of the 18th International Conference on Intelligent Transportation Systems
Issue Date:
15-Sep-2015
DOI:
10.1109/ITSC.2015.336
Additional Links:
http://ieeexplore.ieee.org/document/7313428/; http://www.itsc2015.org/
Type:
Article
Language:
en
ISSN:
2153-0009; 2153-0017
ISBN:
9781467365963
Sponsors:
This research is part-funded by EPSRC Grant EP/H004424/1: Integrating and Automating Low Carbon Airport Operations.
Appears in Collections:
Institute for Innovation in Sustainable Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorWeiszer, Michalen
dc.contributor.authorChen, Junen
dc.contributor.authorStewart, Paulen
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.en
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
This item is licensed under a Creative Commons License
Creative Commons
All Items in UDORA are protected by copyright, with all rights reserved, unless otherwise indicated.