Szczegóły publikacji
Opis bibliograficzny
Handling ambiguous inverse problems by the adaptive genetic strategy hp-HGS / Barbara BARABASZ, Robert SCHAEFER, Maciej PASZYŃSKI // W: Computational Science – ICCS 2009 [Dokument elektroniczny] : 9th international conference : Baton Rouge, LA, USA, May 25–27, 2009 : proceedings, Pt. 1–2 / eds. Gabrielle Allen [et al.]. — Wersja do Windows. — Dane tekstowe. — Berlin ; Heidelberg : Springer-Verlag, cop. 2009. — 1 dysk optyczny. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 5544, LNCS 5545). — e-ISBN: 978-3-642-01969-2; e-ISBN: 3-642-01969-2. — S. 904–913. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 912–913, Abstr. — Publikacja zamieszczona w Pt. 2. — W bazie Web of Science ISBN: 978-3-642-01972-2
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 46254 |
|---|---|
| Data dodania do BaDAP | 2009-08-07 |
| Rok publikacji | 2009 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
We propose the new multi-deme, adaptive genetic strategy hp-HCS that allow solving ill posed parametric inverse problems that may posses multiple solutions. The strategy was obtained by combining hp-adaptive Finite Element Method with the Hierarchic Genetic Strategy. Its efficiency results from the coupled adaptation of the accuracy of solving optimization problem and the accuracy of hp-FEM direct problem solver. We present the simple L-shape domain benchmark that posses exactly two solutions. Test results show how the tunning of hp-HGS may affect on the number of solutions to be found. Moreover we discuss the artifacts that may appear by the particular setting of genetic operations.
