Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26225
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dc.contributor.authorWu, Xiulien_UK
dc.contributor.authorConsoli, Pietroen_UK
dc.contributor.authorMinku, Leandroen_UK
dc.contributor.authorOchoa, Gabrielaen_UK
dc.contributor.authorYao, Xinen_UK
dc.contributor.editorHandl, Jen_UK
dc.contributor.editorHart, Een_UK
dc.contributor.editorLewis, PRen_UK
dc.contributor.editorLopez-Ibanez, Men_UK
dc.contributor.editorOchoa, Gen_UK
dc.contributor.editorPaechter, Ben_UK
dc.date.accessioned2017-11-30T00:45:41Z-
dc.date.available2017-11-30T00:45:41Z-
dc.date.issued2016en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26225-
dc.description.abstractSoftware project scheduling plays an important role in reducing the cost and duration of software projects. It is an NP-hard combinatorial optimization problem that has been addressed based on single and multi-objective algorithms. However, such algorithms have always used fixed genetic operators, and it is unclear which operators would be more appropriate across the search process. In this paper, we propose an evolutionary hyper-heuristic to solve the software project scheduling problem. Our novelties include the following: (1) this is the first work to adopt an evolutionary hyper-heuristic for the software project scheduling problem; (2) this is the first work for adaptive selection of both crossover and mutation operators; (3) we design different credit assignment methods for mutation and crossover; and (4) we use a sliding multi-armed bandit strategy to adaptively choose both crossover and mutation operators. The experimental results show that the proposed algorithm can solve the software project scheduling problem effectively.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Verlagen_UK
dc.relationWu X, Consoli P, Minku L, Ochoa G & Yao X (2016) An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. In: Handl J, Hart E, Lewis P, Lopez-Ibanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature - PPSN XIV. Lecture Notes in Computer Science, 9921. International Conference on Parallel Problem Solving from Nature 2016: PPSN XIV, Edinburgh, 17.09.2016-21.09.2017. Cham, Switzerland: Springer Verlag, pp. 37-47. https://doi.org/10.1007/978-3-319-45823-6_4en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 9921en_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.subjectSoftware project schedulingen_UK
dc.subjectHyper-heuristicsen_UK
dc.subjectAdaptive operator selectionen_UK
dc.subjectSliding multi-armed banditen_UK
dc.titleAn Evolutionary Hyper-heuristic for the Software Project Scheduling Problemen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate3000-08-31en_UK
dc.rights.embargoreason[Wu_etal_LNCS_2016.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.doi10.1007/978-3-319-45823-6_4en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage37en_UK
dc.citation.epage47en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailgabriela.ochoa@cs.stir.ac.uken_UK
dc.citation.btitleParallel Problem Solving from Nature - PPSN XIVen_UK
dc.citation.conferencedates2016-09-17 - 2017-09-21en_UK
dc.citation.conferencelocationEdinburghen_UK
dc.citation.conferencenameInternational Conference on Parallel Problem Solving from Nature 2016: PPSN XIVen_UK
dc.citation.date30/09/2016en_UK
dc.citation.isbn978-3-319-45822-9en_UK
dc.citation.isbn978-3-319-45823-6en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationUniversity of Science and Technology Beijingen_UK
dc.contributor.affiliationUniversity of Birminghamen_UK
dc.contributor.affiliationUniversity of Leicesteren_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Birminghamen_UK
dc.identifier.isiWOS:000387962100004en_UK
dc.identifier.scopusid2-s2.0-84988485494en_UK
dc.identifier.wtid538947en_UK
dc.contributor.orcid0000-0001-7649-5669en_UK
dc.date.accepted2016-05-27en_UK
dc.date.filedepositdate2017-11-29en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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