Szczegóły publikacji
Opis bibliograficzny
Memetic approach for irremediable ill-conditioned parametric inverse problems / Marcin ŁOŚ, Jakub SAWICKI, Maciej SMOŁKA, Robert SCHAEFER // Procedia Computer Science [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1877-0509. — 2017 — vol. 108, s. 867–876. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 876, Abstr. — ICCS 2017 : International Conference on Computational Science : 12–14 June 2017 : Zurich, Switzerland
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106861 |
|---|---|
| Data dodania do BaDAP | 2017-08-30 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.procs.2017.05.007 |
| Rok publikacji | 2017 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Procedia Computer Science |
Abstract
The paper introduces a new taxonomy of ill-posed parametric inverse problems, formulated as global optimization ones. It systematizes irremediable problems, which appear quite often in the real life but cannot be solved using the regularization method. The paper also shows a new way of solving irremediable inverse problems by a complex memetic approach including: genetic computation with adaptive accuracy, random sample clustering and a sophisticated local approximation of misfit plateau regions. Finally, we use a benchmark function featuring cross-shaped plateau to discuss some factors that influence the quality of plateau shape approximation.
