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dc.contributor.authorMayo, Michaelen_NZ
dc.contributor.authorZheng, Chenen_NZ
dc.coverage.spatialVancouver, Canadaen_NZ
dc.date.accessioned2016-11-30T00:55:10Z
dc.date.available2016en_NZ
dc.date.available2016-11-30T00:55:10Z
dc.date.issued2016en_NZ
dc.identifier.citationMayo, M., & Zheng, C. (2016). BlockCopy-based operators for evolving efficient wind farm layouts. In Proceedings of 2016 IEEE Congress on Evolutionary Computation, 24-29 July 2016, Vancouver, Canada (pp. 1085–1092). Washington, DC, USA: IEEE. http://doi.org/10.1109/CEC.2016.7743909en
dc.identifier.isbn978-1-5090-0622-9en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/10777
dc.description.abstractA novel search operator, BlockCopy, is proposed for efficiently solving the wind farm layout optimisation problem. BlockCopy, which can be used either as mutation or a crossover operator, copies patterns of turbines from part of a layout to another part. The target layout may be the same as the source, or a different layout altogether. The rationale behind this is that it is the relative configurations of turbines rather than their individual absolute positions on the layouts that count, and BlockCopy, for the most part, maintains relative configurations. Our evaluation on four benchmark scenarios shows that BlockCopy outperforms two other standard approaches (namely, the turbine displacement algorithm and random perturbation) from the literature. We also evaluate the BlockCopy operator in conjunction with both singlesolution and population-based strategies.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEEen_NZ
dc.rightsThis is an author’s accepted version of an article published in the Proceedings of 2016 IEEE Congress on Evolutionary Computation. © 2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.sourceCEC 2016en_NZ
dc.subjectcomputer scienceen_NZ
dc.subjectwind farm layout optimisation problemen_NZ
dc.subjectevolutionary strategyen_NZ
dc.subjectsearch operatoren_NZ
dc.subjectcost of energyen_NZ
dc.subjectturbine displacement algorithmen_NZ
dc.subjectwind farm layout optimisation problem
dc.subjectevolutionary strategy
dc.subjectsearch operator
dc.subjectcost of energy
dc.subjectturbine displacement algorithm
dc.subjectcomputer science
dc.subjectMachine learning
dc.titleBlockCopy-based operators for evolving efficient wind farm layoutsen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1109/CEC.2016.7743909en_NZ
dc.relation.isPartOfProceedings of 2016 IEEE Congress on Evolutionary Computationen_NZ
pubs.begin-page1085
pubs.elements-id143579
pubs.end-page1092
pubs.finish-date2016-07-29en_NZ
pubs.place-of-publicationWashington, DC, USA
pubs.start-date2016-07-24en_NZ


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