Szczegóły publikacji
Opis bibliograficzny
Intelligent ALMM system for discrete optimization problems – the idea of knowledge base application / Ewa DUDEK-DYDUCH // W: Information Systems Architecture and Technology : proceedings of 38th international conference on Information Systems Architecture and Technology – ISAT 2017 : [September 17-19, 2017, Szklarska Poręba, Poland], Pt. 3 / eds. Zofia Wilimowska, Leszek Borzemski, Jerzy Świątek. — Cham : Springer International Publishing AG, cop. 2018. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 657). — ISBN: 978-3-319-67222-9; e-ISBN: 978-3-319-67223-6. — S. 3–12. — Bibliogr. s. 11–12, Abstr. — Toż na CD. — Publikacja dostępna online od: 2017-09-01
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 110600 |
|---|---|
| Data dodania do BaDAP | 2018-01-04 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-67223-6_1 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 38th international conference on Information Systems Architecture and Technology |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
The paper introduces the concept of intelligent information system for solving discrete optimization problems, named Intelligent ALMM System. The system is a new version of the software tool named ALMM Solver [8, 13]. The paper propose new idea of functioning the solver and its new, essentially extended structure. Presented in the paper Intelligent ALMM System not only solves discrete optimization problems, but also: assists its users in the selection of an appropriate solving method, helps configure algorithms and helps the development of problem model software representations. In order to implement this new idea the author proposes the use of a Knowledge Base linked with the Intelligent User Interface. Both ALMM Solver and Intelligent ALMM System utilize a modeling paradigm named Algebraic-Logical Meta-Model of Multi-stage Decision Processes (ALMM) and its theory both developed by Dudek-Dyduch E. ALMM enables a unified approach to creating discrete optimization problem models, representing knowledge about these problems and presenting solving methods and algorithms.