Szczegóły publikacji
Opis bibliograficzny
Asymptotic behavior of hp-HGS (hp-adaptive Finite Element Method coupled with the hierarchic genetic strategy) by solving inverse problems / Robert SCHAEFER, Barbara BARABASZ // W: Computational Science – ICCS 2008 : 8th International Conference : Kraków, Poland, June 23–25, 2008 : proceedings , Pt. 3 / eds. Marian Bubak, Geert Dick van Albada, Jack Dongarra, Peter M. A. Sloot. — Berlin ; Heidelberg : Springer-Verlag, cop. 2008. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 5103. Theoretical Computer Science and General Issues ; ISSN 0302-9743 ). — ISBN: 978-3-540-69388-8; ISBN: 3-540-69-388-2; e-ISBN: 978-3-540-69389-5. — S. 682–691. — Bibliogr. s. 690–691, Abstr.
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 40328 |
|---|---|
| Data dodania do BaDAP | 2008-09-26 |
| DOI | 10.1007/978-3-540-69389-5_76 |
| Rok publikacji | 2008 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp | |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
The new hp-HCS multi-deme, genetic strategy for economic solving of the parametric inverse problems is introduced. The inverse problems under consideration are formulated as the global optimization ones, where the objective express the discrepancy between the computed and measured energy. The efficiency of the proposed strategy results from the coupled adaptation of the accuracy of solving optimization problem and the accuracy of hp-FEM direct problem solver. The asymptotic analysis allows to estimate the expected computational cost of hp-HCS and to show its advantage over the single population SGA algorithm as well as over the HGS strategy without the FEM error scaling.