Szczegóły publikacji
Opis bibliograficzny
An agent-oriented hierarchic strategy for solving inverse problems / Maciej SMOŁKA, Robert SCHAEFER, Maciej PASZYŃSKI, David Pardo, Julen Álvarez-Aramberri // International Journal of Applied Mathematics and Computer Science ; ISSN 1641-876X. — 2015 — vol. 25 no. 3, s. 483–498. — Bibliogr. s. 496–497
Autorzy (5)
- AGHSmołka Maciej
- AGHSchaefer Robert
- AGHPaszyński Maciej
- Pardo David
- Álvarez-Aramberri Julen
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 93073 |
|---|---|
| Data dodania do BaDAP | 2015-10-19 |
| Tekst źródłowy | URL |
| DOI | 10.1515/amcs-2015-0036 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | International Journal of Applied Mathematics and Computer Science |
Abstract
The paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse parametric problems. The strategy goes beyond the idea of two-phase global optimization algorithms. The global search performed by a tree of dependent demes is dynamically alternated with local, steepest descent searches. The strategy offers exceptionally low computational costs, mainly because the direct solver accuracy (performed by the hp-adaptive finite element method) is dynamically adjusted for each inverse search step. The computational cost is further decreased by the strategy employed for solution inter-processing and fitness deterioration. The HMS efficiency is compared with the results of a standard evolutionary technique, as well as with the multi-start strategy on benchmarks that exhibit typical inverse problems' difficulties. Finally, an HMS application to a real-life engineering problem leading to the identification of oil deposits by inverting magnetotelluric measurements is presented. The HMS applicability to the inversion of magnetotelluric data is also mathematically verified.
