Genetic Combined with a Simplex Algorithm as an Efficient Method for the Detection of a Depressed Ellipsoidal Flaw using the Boundary Element Method

Vossou, C; Koukoulis, I; Provatidis, C

dc.contributor.author	Vossou, C	en
dc.contributor.author	Koukoulis, I	en
dc.contributor.author	Provatidis, C	en
dc.date.accessioned	2014-03-01T01:55:59Z
dc.date.available	2014-03-01T01:55:59Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27906
dc.relation.uri	http://www.akademik.unsri.ac.id/download/journal/files/waset/v26-24.pdf	en
dc.relation.uri	http://www.akademik.unsri.ac.id/download/journal/files/waset/v4-2-15-2.pdf	en
dc.subject	Boundary Element Method	en
dc.subject	Cost Function	en
dc.subject	Evolutionary Algorithm	en
dc.subject	Genetic Algorithm	en
dc.subject	Genetics	en
dc.subject	Optimal Algorithm	en
dc.subject	Simplex Algorithm	en
dc.subject	Simplex Method	en
dc.title	Genetic Combined with a Simplex Algorithm as an Efficient Method for the Detection of a Depressed Ellipsoidal Flaw using the Boundary Element Method	en
heal.type	journalArticle	en
heal.publicationDate	2007	en
heal.abstract	The present work encounters the solution of the defect identification problem with the use of an evolutionary algorithm combined with a simplex method. In more details, a Matlab implementation of Genetic Algorithms is combined with a Simplex method in order to lead to the successful identification of the defect. The influence of the location and the orientation of the depressed	en