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

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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


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