Szczegóły publikacji
Opis bibliograficzny
ALMM solver – a tool for optimization problems / Ewa DUDEK-DYDUCH, Edyta KUCHARSKA, Lidia DUTKIEWICZ, Krzysztof RĄCZKA // W: Artificial Intelligence and Soft Computing : 13th International Conference, ICAISC 2014 : Zakopane, Poland, June 1–5, 2014 : proceedings, Pt. 2 / eds. Leszek Rutkowski, [et al.]. — Cham, [etc.] : Springer, cop. 2014. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; 8468). — ISBN: 978-3-319-07175-6; e-ISBN: 978-3-319-07176-3. — S. 328–338. — Bibliogr. s. 337–338, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 81910 |
|---|---|
| Data dodania do BaDAP | 2014-06-24 |
| DOI | 10.1007/978-3-319-07176-3_29 |
| Rok publikacji | 2014 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 13th International Conference on Artificial Intelligence and Soft Computing |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
The aim of our paper is to present the concept and structure of a software tool named the ALMM Solver. The goal of the solver is to generate solutions for discrete optimization problems, in particular for NP-hard problems. The solver is based on Algebraic Logical Meta-Model of Multistage Decision Process (ALMM of MDP) methodology, which is briefly described in the paper. Functionality and modular structure of the ALMM Solver is presented. SimOpt, the core module of the solver, is described in detail. Some possible future advances regarding the solver are also given.