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Article: Immunity-based evolutionary algorithm for optimal global container repositioning in liner shipping

TitleImmunity-based evolutionary algorithm for optimal global container repositioning in liner shipping
Authors
KeywordsArtificial immune systems
Container repositioning
Evolutionary algorithms
Liner shipping
Optimization
Issue Date2010
PublisherSpringer. The Journal's web site is located at http://www.springer.com/business/operations+research/journal/291
Citation
Or Spectrum, 2010, v. 32 n. 3, p. 739-763 How to Cite?
AbstractGlobal container repositioning in liner shipping has always been a challenging problem in container transportation as the global market in maritime logistics is complex and competitive. Supply and demand are dynamic under the ever changing trade imbalance. A useful computation optimization tool to assist shipping liners on decision making and planning to reposition large quantities of empty containers from surplus countries to deficit regions in a cost effective manner is crucial. A novel immunity-based evolutionary algorithm known as immunity-based evolutionary algorithm (IMEA) is developed to solve the multi-objective container repositioning problems in this research. The algorithm adopts the clonal selection and immune suppression theories to attain the Pareto optimal front. The proposed algorithm was verified with benchmarking functions and compared with four optimization algorithms to assess its diversity and spread. The developed algorithm provides a useful means to solve the problem and assist shipping liners in the global container transportation operations in an optimized and cost effective manner. © 2010 The Author(s).
Persistent Identifierhttp://hdl.handle.net/10722/145006
ISSN
2015 Impact Factor: 1.395
2015 SCImago Journal Rankings: 1.652
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, EYCen_HK
dc.contributor.authorLau, HYKen_HK
dc.contributor.authorMak, KLen_HK
dc.date.accessioned2012-02-21T05:45:08Z-
dc.date.available2012-02-21T05:45:08Z-
dc.date.issued2010en_HK
dc.identifier.citationOr Spectrum, 2010, v. 32 n. 3, p. 739-763en_HK
dc.identifier.issn0171-6468en_HK
dc.identifier.urihttp://hdl.handle.net/10722/145006-
dc.description.abstractGlobal container repositioning in liner shipping has always been a challenging problem in container transportation as the global market in maritime logistics is complex and competitive. Supply and demand are dynamic under the ever changing trade imbalance. A useful computation optimization tool to assist shipping liners on decision making and planning to reposition large quantities of empty containers from surplus countries to deficit regions in a cost effective manner is crucial. A novel immunity-based evolutionary algorithm known as immunity-based evolutionary algorithm (IMEA) is developed to solve the multi-objective container repositioning problems in this research. The algorithm adopts the clonal selection and immune suppression theories to attain the Pareto optimal front. The proposed algorithm was verified with benchmarking functions and compared with four optimization algorithms to assess its diversity and spread. The developed algorithm provides a useful means to solve the problem and assist shipping liners in the global container transportation operations in an optimized and cost effective manner. © 2010 The Author(s).en_HK
dc.languageengen_US
dc.publisherSpringer. The Journal's web site is located at http://www.springer.com/business/operations+research/journal/291en_US
dc.relation.ispartofOR Spectrumen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong Licenseen_US
dc.subjectArtificial immune systemsen_HK
dc.subjectContainer repositioningen_HK
dc.subjectEvolutionary algorithmsen_HK
dc.subjectLiner shippingen_HK
dc.subjectOptimizationen_HK
dc.titleImmunity-based evolutionary algorithm for optimal global container repositioning in liner shippingen_HK
dc.typeArticleen_HK
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_HK
dc.identifier.emailMak, KL:makkl@hkucc.hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.identifier.authorityMak, KL=rp00154en_HK
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1007/s00291-010-0208-1en_HK
dc.identifier.scopuseid_2-s2.0-77953540176en_HK
dc.identifier.hkuros180268-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77953540176&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume32en_HK
dc.identifier.issue3en_HK
dc.identifier.spage739en_HK
dc.identifier.epage763en_HK
dc.identifier.eissn1436-6304en_US
dc.identifier.isiWOS:000278582100015-
dc.publisher.placeGermany-
dc.description.otherSpringer Open Choice, 21 Feb 2012en_US
dc.identifier.scopusauthoridWong, EYC=35168258300en_HK
dc.identifier.scopusauthoridLau, HYK=7201497761en_HK
dc.identifier.scopusauthoridMak, KL=7102680226en_HK
dc.identifier.citeulike7079606-

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