A parallel inverse-design algorithm in aeronautics based on genetic algorithms and the adjoint method

dc.contributor.author	Γιαννάκογλου, Κυριάκος Χ.	el
dc.contributor.author	Πάππου, Τ.Ι.	el
dc.contributor.author	Γιώτης, Αλέξιος Π.	el
dc.contributor.author	Κουμπογιάννης, Δημήτριος Γ.	el
dc.date.accessioned	2015-06-07T21:10:13Z
dc.date.available	2015-06-07T21:10:13Z
dc.date.issued	2015-06-08
dc.identifier.uri	http://hdl.handle.net/11400/15561
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://velos0.ltt.mech.ntua.gr/research/pdfs/3_055.pdf	en
dc.subject	Συζυγείς μέθοδοι
dc.subject	Αεροδυναμικό σχήμα
dc.subject	Τεχνικές τομέα αποσύνθεσης
dc.subject	Γενετική εξέλιξη
dc.subject	Μέθοδος Βελτιστοποίησης
dc.subject	Adjoint methods
dc.subject	Aerodynamic shape
dc.subject	Domain decomposition techniques
dc.subject	Genetic evolution
dc.subject	Optimization method
dc.title	A parallel inverse-design algorithm in aeronautics based on genetic algorithms and the adjoint method	en
heal.type	conferenceItem
heal.classification	Μηχανική
heal.classification	Μαθηματικά
heal.classification	Engineering
heal.classification	Mathematics
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	http://skos.um.es/unescothes/C01363
heal.classificationURI	http://skos.um.es/unescothes/C02437
heal.identifier.secondary	ISBN: 8489925704;978-848992570-0
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2000-09-11
heal.bibliographicCitation	Giannakoglou, K.C., Pappou, T.I., Giotis, A.P. and Koubogiannis, D.G. (2000) A parallel inverse-design algorithm in aeronautics based on genetic algorithms and the Adjoint Method. European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000. Barcelona, Spain	en
heal.abstract	This paper presents a hybrid (Genetic Algorithms, GA and Adjoint Method, AM) tool for the optimum design of aerodynamic shapes. CFD techniques for unstructured grids are used during both optimization phases. The best solution computed after a few generations through the GA costitutes a good starting shape for the second, AM-based optimization phase. This is enriched in design variables through a newly proposed technique before proceeding to the AM phase. Different parallelization techniques are proposed for each phase, using the PVM message passing protocol. During the genetic evolution the concurrent evaluations of candidate solutions is used whereas the domain decomposition technique is employed during the AM-based optimization.	en
heal.sponsor	Commission of European Communities (EC),Ministerio de Ciencia y Tecnologia,Generalitat de Catalunya, Comissio Interdepartamental,de Recerca i Innovacio Tecnologica (CIRIT),Autoritat Portuaria de Barcelona	en
heal.fullTextAvailability	true
heal.conferenceName	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000	en
heal.conferenceItemType	full paper