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dc.contributor.authorWalker, David
dc.contributor.authorCraven, Matthew
dc.contributor.editorSim K
dc.contributor.editorKaufmann P
dc.date.accessioned2018-02-22T16:28:24Z
dc.date.available2018-02-22T16:28:24Z
dc.date.issued2018
dc.identifier.isbn9783319775371
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10026.1/10846
dc.description.abstract

A visualisation method is presented that is intended to assist evolutionary algorithm users with the parametrisation of their algorithms. The visualisation method presents the convergence and diversity properties such that different parametrisations can be easily compared, and poor performing parameter sets can be easily identified and discarded. The efficacy of the visualisation is presented using a set of benchmark optimisation problems from the literature, as well as a benchmark water distribution network design problem. Results show that it is possible to observe the different performance caused by different parametrisations. Future work discusses the potential of this visualisation within an online tool that will enable a user to discard poor parametrisations as they execute to free up resources for better ones.

dc.format.extent547-560
dc.language.isoen
dc.publisherSpringer
dc.subjectVisualisation
dc.subjectMulti-objective
dc.subjectWater distribution network design
dc.subjectOptimisation
dc.titleToward the Online Visualisation of Algorithm Performance for Parameter Selection
dc.typeconference
dc.typeConference Proceeding
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000433244800038&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2018-04-04
plymouth.date-finish2018-04-06
plymouth.volume10784
plymouth.publisher-urlhttps://doi.org/10.1007/978-3-319-77538-8
plymouth.conference-nameEvoApplications 2018
plymouth.publication-statusPublished
plymouth.journalAPPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2018
dc.identifier.doi10.1007/978-3-319-77538-8_38
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA10 Mathematical Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeParma, Italy
dcterms.dateAccepted2018-01-03
dc.identifier.eissn1611-3349
dc.rights.embargoperiodNot known
rioxxterms.versionAccepted Manuscript
rioxxterms.versionofrecord10.1007/978-3-319-77538-8_38
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract


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