Show simple item record

dc.contributor.authorRandall, M
dc.contributor.authorRawlins, T
dc.contributor.authorLewis, A
dc.contributor.authorKipouros, T
dc.contributor.editorEditor exceeds RIMS limit
dc.date.accessioned2017-08-29T04:42:47Z
dc.date.available2017-08-29T04:42:47Z
dc.date.issued2015
dc.identifier.issn1877-0509
dc.identifier.doi10.1016/j.procs.2015.05.384
dc.identifier.urihttp://hdl.handle.net/10072/104584
dc.description.abstractDifferent evolutionary algorithms, by their very nature, will have different search trajectory characteristics. Understanding these particularly for real world problems gives researchers and practitioners valuable insights into potential problem domains for the various algorithms, as well as an understanding for potential hybridisation. In this study, we examine three evolutionary techniques, namely, multi-objective particle swarm optimisation, extremal optimisation and tabu search. A problem that is to design optimal cross sectional areas of airfoils that maximise lift and minimise drag, is used. The comparison analyses actual parameter values, rather than just objective function values and computational costs. It reveals that the three algorithms had distinctive search patterns, and favoured different regions during exploration of the design space.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofconferencenameICCS 2015
dc.relation.ispartofconferencetitleProcedia Computer Science
dc.relation.ispartofdatefrom2015-06-01
dc.relation.ispartofdateto2015-06-03
dc.relation.ispartoflocationReykjavik, Iceland
dc.relation.ispartofpagefrom2267
dc.relation.ispartofpageto2276
dc.relation.ispartofissue1
dc.relation.ispartofvolume51
dc.subject.fieldofresearchAerodynamics (excl. Hypersonic Aerodynamics)
dc.subject.fieldofresearchOptimisation
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computation
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchTechnology
dc.subject.fieldofresearchcode090101
dc.subject.fieldofresearchcode010303
dc.subject.fieldofresearchcode080108
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode10
dc.titlePerformance comparison of evolutionary algorithms for airfoil design
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.versionPublished
gro.facultyGriffith Health, School of Human Services and Social Work
gro.rights.copyright© 2015 The Authors. Published by Elsevier B.V. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
gro.hasfulltextFull Text
gro.griffith.authorLewis, Andrew J.
gro.griffith.authorRandall, Marcus C.
gro.griffith.authorRawlins, Tim


Files in this item

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record