Inverse design of airfoils based on a novel formulation of the ant colony optimization method

Fainekos, GE; Giannakoglou, KC

dc.contributor.author	Fainekos, GE	en
dc.contributor.author	Giannakoglou, KC	en
dc.date.accessioned	2014-03-01T01:19:04Z
dc.date.available	2014-03-01T01:19:04Z
dc.date.issued	2003	en
dc.identifier.issn	1068-2767	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15359
dc.subject	Ant colony optimization	en
dc.subject	Inverse design of aerodynamic shapes	en
dc.subject	Optimization algorithms	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Aerodynamics	en
dc.subject.other	Algorithms	en
dc.subject.other	Combinatorial mathematics	en
dc.subject.other	Computational fluid dynamics	en
dc.subject.other	Optimization	en
dc.subject.other	Problem solving	en
dc.subject.other	Traveling salesman problem	en
dc.subject.other	Ant colony optimization (ACO)	en
dc.subject.other	Airfoils	en
dc.title	Inverse design of airfoils based on a novel formulation of the ant colony optimization method	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/1068276031000074288	en
heal.identifier.secondary	http://dx.doi.org/10.1080/1068276031000074288	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	In the past, Ant Colony Optimization (ACO) methods were used to solve combinatorial optimization problems such as the well-known Traveling Salesman Problem. The present article introduces an extension of the ACO method that is capable of solving optimization problems involving free variables with continuous search spaces. To this purpose, various notions, which are implicit in the ACO techniques, have been modified in order to account for design parameters that may vary continuously between lower and upper user-defined bounds. The intention was to create a tool for a particular class of engineering problems, namely the inverse design of isolated or turbomachinery blade airfoils and to demonstrate its effectiveness. Computational Fluid Dynamics codes are used for the evaluation of candidate solutions.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	Inverse Problems in Engineering	en
dc.identifier.doi	10.1080/1068276031000074288	en
dc.identifier.isi	ISI:000182649900002	en
dc.identifier.volume	11	en
dc.identifier.issue	1	en
dc.identifier.spage	21	en
dc.identifier.epage	38	en