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dc.contributor.authorUsman, Muhammad
dc.contributor.authorPang, Wei
dc.contributor.authorCoghill, George
dc.date.accessioned2020-08-17T13:05:00Z
dc.date.available2020-08-17T13:05:00Z
dc.date.issued2020-09
dc.identifier.citationUsman , M , Pang , W & Coghill , G 2020 , ' Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches ' , Memetic Computing , vol. 12 , pp. 267-282 . https://doi.org/10.1007/s12293-020-00306-5en
dc.identifier.issn1865-9292
dc.identifier.otherPURE: 170738901
dc.identifier.otherPURE UUID: 4e7d60c0-f2c3-4ab2-b085-23e651f6f584
dc.identifier.otherORCID: /0000-0002-2047-8277/work/78366372
dc.identifier.otherWOS: 000554720000001
dc.identifier.otherORCID: /0000-0002-1761-6659/work/79064090
dc.identifier.otherScopus: 85088831874
dc.identifier.urihttps://hdl.handle.net/2164/14939
dc.descriptionOpen Access via the Springer Compact Agreement This research is funded by Elphinstone Scholarship provided by University of Aberdeen, Scotland, UK.en
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofMemetic Computingen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectLearning structure and parametersen
dc.subjectSwarm Intelligenceen
dc.subjectParticle swarm optimizationen
dc.subjectLatin hypercube samplingen
dc.subjectGenetic algorithmen
dc.subjectLatin hypercube sampling multidimensional uniformityen
dc.subjectDynamic systemsen
dc.subjectDIFFERENTIAL-EQUATION MODELSen
dc.subjectGENERAL-APPROACHen
dc.subjectINFERENCEen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectControl and Optimizationen
dc.subjectComputer Science(all)en
dc.subject.lccQA75en
dc.titleInferring structure and parameters of dynamic system models simultaneously using swarm intelligence approachesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1007/s12293-020-00306-5
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85088831874&partnerID=8YFLogxKen
dc.identifier.vol12en


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