Szczegóły publikacji
Opis bibliograficzny
Multi-objective hierarchic memetic solver for inverse parametric problems / Ewa GAJDA-ZAGÓRSKA, Maciej SMOŁKA, Robert SCHAEFER, David Pardo, Julen Álvarez-Aramberri // Procedia Computer Science [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1877-0509. — 2015 — vol. 51, s. 974–983. — Bibliogr. s. 982–983, Abstr. — ICCS 2015 : 15th annual International Conference on Computational Science : June 1–3, 2015, Reykjavík, Iceland
Autorzy (5)
- AGHGajda-Zagórska Ewa
- AGHSmołka Maciej
- AGHSchaefer Robert
- Pardo David
- Álvarez-Aramberri Julen
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 95824 |
|---|---|
| Data dodania do BaDAP | 2016-02-09 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.procs.2015.05.239 |
| Rok publikacji | 2015 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Procedia Computer Science |
Abstract
We propose a multi-objective approach for solving challenging inverse parametric problems. The objectives are misfits for several physical descriptions of a phenomenon under consideration, whereas their domain is a common set of admissible parameters. The resulting Pareto set, or parameters close to it, constitute various alternatives of minimizing individual misfits. A special type of selection applied to the memetic solution of the multi-objective problem narrows the set of alternatives to the ones that are sufficiently coherent. The proposed strategy is exemplified by solving a real-world engineering problem consisting of the magnetotelluric measurement inversion that leads to identification of oil deposits located about 3 km under the Earth's surface, where two misfit functions are related to distinct frequencies of the electric and magnetic waves.
