Hierarchical distributed metamodel-assisted evolutionary algorithms in shape optimization

dc.contributor.author	Καρακάσης, Μάριος Κ.	el
dc.contributor.author	Κουμπογιάννης, Δημήτριος Γ.	el
dc.contributor.author	Γιαννάκογλου, Κυριάκος Χ.	el
dc.date.accessioned	2015-06-07T20:10:48Z
dc.date.available	2015-06-07T20:10:48Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15545
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.scopus.com/record/display.url?origin=recordpage&eid=2-s2.0-33846439042&citeCnt=19&noHighlight=false&sort=plf-f&src=s&sid=62A9054A815E25F2D3896574D4CE2724.fM4vPBipdL1BpirDq5Cw%3a10650&sot=autdocs&sdt=autdocs&sl=17&s=AU-ID%286507485349%29&relpos=1	en
dc.subject	Αεροτομές
dc.subject	Υπολογιστική ρευστοδυναμική
dc.subject	εξελικτικοί αλγόριθμοι
dc.subject	Αλληλεπιδράσεις ροής
dc.subject	Μαθηματικά μοντέλα
dc.subject	Aerofoils
dc.subject	Computational fluid dynamics
dc.subject	Evolutionary algorithms
dc.subject	Flow interactions
dc.subject	Mathematical models
dc.title	Hierarchical distributed metamodel-assisted evolutionary algorithms in shape optimization	en
heal.type	journalArticle
heal.classification	Πληροφορική
heal.classification	Μηχανική
heal.classification	Computer science
heal.classification	Engineering
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C01363
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85001301
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007008173
heal.identifier.secondary	DOI: 10.1002/fld.1288
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2007-01-30
heal.bibliographicCitation	Karakasis, M.K., Koubogiannis, D.G. and Giannakoglou, K.C. (2007) Hierarchical distributed metamodel-assisted evolutionary algorithms in shape optimization. International Journal for Numerical Methods in Fluids. [Online] 53 (3), pp.455-469. Available from: http://www.scopus.com [Accessed 07/06/2015]	en
heal.abstract	In aerodynamic shape optimization, the availability of multiple evaluation models of different precision and hence computational cost can be efficiently exploited in a hierarchical evolutionary algorithm. Thus, in this work the demes of a distributed evolutionary algorithm are ordered in levels, with each level employing a different flow analysis method, giving rise to a hierarchical distributed scheme. The arduous task of exploring the design space is undertaken by demes consisting the lower hierarchy level, which use a low-cost flow analysis tool, namely a viscous-inviscid flow interaction method. Promising solutions are directed towards the higher level, where these are further evolved based on a high precision/cost evaluation tool, viz. a Navier-Stokes equations solver. The final, optimal solution is obtained from the highest hierarchy level. At each level, metamodels, trained on-line on the outcome of evaluations with the level's analysis tool, are used. The role of metamodels is to allow a parsimonious use of computational resources by filtering the poorly performing individuals in each deme. The entire algorithm has been implemented so as to take advantage of a parallel computing system. The efficiency and effectiveness of the proposed hierarchical distributed evolutionary algorithm have been assessed in the design of a transonic isolated airfoil and a compressor cascade. Remarkable superiority over the conventional evolutionary algorithms has been monitored.	en
heal.journalName	International Journal for Numerical Methods in Fluids	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true