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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31390
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dc.contributor.authorLi, Jingpengen_UK
dc.contributor.authorKwan, Raymond S Ken_UK
dc.date.accessioned2020-07-04T00:04:51Z-
dc.date.available2020-07-04T00:04:51Z-
dc.date.issued2001-05en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31390-
dc.description.abstractThe paper presents a fuzzy simulated evolution algorithm for the public transport driver scheduling problem, which involves solving a set covering model. The novel scheduling algorithm incorporates the idea of fuzzy evaluation into simulated evolution, combining the features of iterative improvement and constructive perturbation, to explore solution space effectively and obtain superior schedules. Experiments with benchmark tests using data from the transportation industry demonstrate the strengths of the proposed algorithm in solving large size real-world driver scheduling problems. It is suggested that this approach might be suitable for other large-scale set covering problems.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationLi J & Kwan RSK (2001) A fuzzy simulated evolution algorithm for the driver scheduling problem. In: Proceedings of the 2001 Congress on Evolutionary Computation. 2001 Congress on Evolutionary Computation, Seoul, South Korea, 27.05.2001-30.05.2001. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cec.2001.934316en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectScheduling algorithmen_UK
dc.subjectJob shop schedulingen_UK
dc.subjectIterative algorithmsen_UK
dc.subjectComputational modelingen_UK
dc.subjectFusesen_UK
dc.subjectProcessor schedulingen_UK
dc.subjectSpace explorationen_UK
dc.subjectLawen_UK
dc.subjectLegal factorsen_UK
dc.subjectCostsen_UK
dc.titleA fuzzy simulated evolution algorithm for the driver scheduling problemen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[00934316.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1109/cec.2001.934316en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailjli@cs.stir.ac.uken_UK
dc.citation.btitleProceedings of the 2001 Congress on Evolutionary Computationen_UK
dc.citation.conferencedates2001-05-27 - 2001-05-30en_UK
dc.citation.conferencelocationSeoul, South Koreaen_UK
dc.citation.conferencename2001 Congress on Evolutionary Computationen_UK
dc.citation.date07/08/2002en_UK
dc.citation.isbn0780366573en_UK
dc.publisher.addressPiscataway, NJ, USAen_UK
dc.contributor.affiliationUniversity of Leedsen_UK
dc.contributor.affiliationUniversity of Leedsen_UK
dc.identifier.wtid1454986en_UK
dc.contributor.orcid0000-0002-6758-0084en_UK
dcterms.dateAccepted2002-08-07en_UK
dc.date.filedepositdate2020-06-19en_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorLi, Jingpeng|0000-0002-6758-0084en_UK
local.rioxx.authorKwan, Raymond S K|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2251-05-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filename00934316.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0780366573en_UK
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