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Article: Integrated scheduling of handling equipment at automated container terminals

TitleIntegrated scheduling of handling equipment at automated container terminals
Authors
Lau, HYKZhao, Y
KeywordsAutomated Container Terminal
Bipartite Maximum Matching
Genetic Algorithm
Integrated Scheduling
Issue Date2008
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ijpe
Citation
International Journal Of Production Economics, 2008, v. 112 n. 2, p. 665-682 How to Cite?
DOI: http://dx.doi.org/10.1016/j.ijpe.2007.05.015
AbstractTo improve the productivities of an automated container terminal, it is important to schedule different types of handling equipment in an integrated way. A mixed-integer programming model, which considers various constraints related to the integrated operations between different types of handling equipment, is formulated. This study proposes a heuristic method, called multi-layer genetic algorithm (MLGA) to obtain the near-optimal solution of the integrated scheduling problem and an improved heuristic algorithm, called genetic algorithm plus maximum matching (GAPM), to reduce the computation complexity of the MLGA method. The performance of GAPM is also compared with that of the MLGA method. © 2007 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/155905
ISSN
0925-5273
2023 Impact Factor: 9.8
2023 SCImago Journal Rankings: 3.074
ISI Accession Number ID
WOS:000254982500013
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLau, HYKen_US
dc.contributor.authorZhao, Yen_US
dc.date.accessioned2012-08-08T08:38:19Z-
dc.date.available2012-08-08T08:38:19Z-
dc.date.issued2008en_US
dc.identifier.citationInternational Journal Of Production Economics, 2008, v. 112 n. 2, p. 665-682en_US
dc.identifier.issn0925-5273en_US
dc.identifier.urihttp://hdl.handle.net/10722/155905-
dc.description.abstractTo improve the productivities of an automated container terminal, it is important to schedule different types of handling equipment in an integrated way. A mixed-integer programming model, which considers various constraints related to the integrated operations between different types of handling equipment, is formulated. This study proposes a heuristic method, called multi-layer genetic algorithm (MLGA) to obtain the near-optimal solution of the integrated scheduling problem and an improved heuristic algorithm, called genetic algorithm plus maximum matching (GAPM), to reduce the computation complexity of the MLGA method. The performance of GAPM is also compared with that of the MLGA method. © 2007 Elsevier B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ijpeen_US
dc.relation.ispartofInternational Journal of Production Economicsen_US
dc.rightsInternational Journal of Production Economics. Copyright © Elsevier BV.-
dc.subjectAutomated Container Terminalen_US
dc.subjectBipartite Maximum Matchingen_US
dc.subjectGenetic Algorithmen_US
dc.subjectIntegrated Schedulingen_US
dc.titleIntegrated scheduling of handling equipment at automated container terminalsen_US
dc.typeArticleen_US
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_US
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.ijpe.2007.05.015en_US
dc.identifier.scopuseid_2-s2.0-39649110605en_US
dc.identifier.hkuros143654-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-39649110605&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume112en_US
dc.identifier.issue2en_US
dc.identifier.spage665en_US
dc.identifier.epage682en_US
dc.identifier.isiWOS:000254982500013-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridLau, HYK=7201497761en_US
dc.identifier.scopusauthoridZhao, Y=8318274300en_US
dc.identifier.issnl0925-5273-

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