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Conference Paper: An iterative heuristics algorithm for solving the integrated aircraft and passenger recovery problem

TitleAn iterative heuristics algorithm for solving the integrated aircraft and passenger recovery problem
Authors
Zhang, DLau, HYK
Issue Date2014
PublisherSpringer International Publishing.
Citation
AI-2014: The 34th Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI), Cambridge, UK., 9-11 December 2014. In Research and Development in Intelligent Systems XXXI, 2014, p. 281-297 How to Cite?
DOI: http://dx.doi.org/10.1007/978-3-319-12069-0_21
AbstractAirline disruption incurred huge cost for airlines and serious inconvenience for travelers. In this paper, we study the integrated aircraft and passenger schedule recovery problem. To efficiently solve this problem, we proposed decomposition method to divide the whole problem into two smaller problems. An iterative heuristics strategy is proposed to improve solution quality by iteratively solving decomposed problems. Our algorithm is tested on the data set provided by ROADEF 2009. We simulate several airport closure scenarios and experimental results show that our algorithm can provide a high quality solution in the required time limit.
DescriptionThe papers from the technical and application streams of AI-2014 will be published by Springer as a single volume, entitled Research and Development in Intelligent Systems XXXI incorporating Applications and Innovations in Intelligent Systems XXII.
Persistent Identifierhttp://hdl.handle.net/10722/212203
ISBN
978-3-319-12068-3

 

DC FieldValueLanguage
dc.contributor.authorZhang, D-
dc.contributor.authorLau, HYK-
dc.date.accessioned2015-07-21T02:27:38Z-
dc.date.available2015-07-21T02:27:38Z-
dc.date.issued2014-
dc.identifier.citationAI-2014: The 34th Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI), Cambridge, UK., 9-11 December 2014. In Research and Development in Intelligent Systems XXXI, 2014, p. 281-297-
dc.identifier.isbn978-3-319-12068-3-
dc.identifier.urihttp://hdl.handle.net/10722/212203-
dc.descriptionThe papers from the technical and application streams of AI-2014 will be published by Springer as a single volume, entitled Research and Development in Intelligent Systems XXXI incorporating Applications and Innovations in Intelligent Systems XXII.-
dc.description.abstractAirline disruption incurred huge cost for airlines and serious inconvenience for travelers. In this paper, we study the integrated aircraft and passenger schedule recovery problem. To efficiently solve this problem, we proposed decomposition method to divide the whole problem into two smaller problems. An iterative heuristics strategy is proposed to improve solution quality by iteratively solving decomposed problems. Our algorithm is tested on the data set provided by ROADEF 2009. We simulate several airport closure scenarios and experimental results show that our algorithm can provide a high quality solution in the required time limit.-
dc.languageeng-
dc.publisherSpringer International Publishing.-
dc.relation.ispartofResearch and Development in Intelligent Systems XXXI: Incorporating Applications and Innovations in Intelligent Systems XXII-
dc.titleAn iterative heuristics algorithm for solving the integrated aircraft and passenger recovery problem-
dc.typeConference_Paper-
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hk-
dc.identifier.authorityLau, HYK=rp00137-
dc.identifier.doi10.1007/978-3-319-12069-0_21-
dc.identifier.hkuros245780-
dc.identifier.spage281-
dc.identifier.epage297-
dc.publisher.placeSwitzerland-
dc.customcontrol.immutablesml 150724-

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