Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98375
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorOu, Jen_US
dc.creatorZhong, Xen_US
dc.creatorLi, CLen_US
dc.date.accessioned2023-04-27T01:05:08Z-
dc.date.available2023-04-27T01:05:08Z-
dc.identifier.issn0020-0190en_US
dc.identifier.urihttp://hdl.handle.net/10397/98375-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 Elsevier B.V. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Ou, J., Zhong, X., & Li, C. L. (2016). Faster algorithms for single machine scheduling with release dates and rejection. Information Processing Letters, 116(8), 503-507 is available at https://doi.org/10.1016/j.ipl.2016.02.008.en_US
dc.subjectAlgorithmsen_US
dc.subjectRejection penaltyen_US
dc.subjectRelease datesen_US
dc.subjectSchedulingen_US
dc.subjectWorst-case analysisen_US
dc.titleFaster algorithms for single machine scheduling with release dates and rejectionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage503en_US
dc.identifier.epage507en_US
dc.identifier.volume116en_US
dc.identifier.issue8en_US
dc.identifier.doi10.1016/j.ipl.2016.02.008en_US
dcterms.abstractWe consider the single machine scheduling problem with release dates and job rejection with an objective of minimizing the makespan of the job schedule plus the total rejection penalty of the rejected jobs. Zhang et al. [6] have presented a 2-approximation algorithm with an O(n2) complexity for this problem and an exact algorithm with an O(n3) complexity for the special case with identical job processing times. In this note, we show that the 2-approximation algorithm developed by Zhang et al. [6] can be implemented in O(nlogn) time. We also develop a new exact algorithm with an improved complexity of O(n2logn) for the special case with identical job processing times. The second algorithm can be easily extended to solve the parallel-machine case with the same running time complexity, which answers an open question recently raised by Zhang and Lu [5].en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInformation processing letters, Aug. 2016, v. 116, no. 8, p. 503-507en_US
dcterms.isPartOfInformation processing lettersen_US
dcterms.issued2016-08-
dc.identifier.scopus2-s2.0-84959387599-
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0479-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Humanities and Social Sciences Research Foundation of Ministry of Education of China; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6621945-
dc.description.oaCategoryGreen (AAM)en_US
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