Szczegóły publikacji
Opis bibliograficzny
Agent-based optimization of advisory strategy parameters / Mateusz Polnik, Mateusz Kumięga, Aleksander BYRSKI // Journal of Telecommunications and Information Technology ; ISSN 1509-4553. — 2013 — nr 2, s. 49–55. — Bibliogr. s. 54–55, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 75131 |
|---|---|
| Data dodania do BaDAP | 2013-08-06 |
| Tekst źródłowy | URL |
| Rok publikacji | 2013 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Telecommunications and Information Technology |
Abstract
In this paper, an application of Evolutionary Multiagent Systems (EMAS) and its memetic version to the optimization of advisory strategy (in this case, Sudoku advisory strategy) is considered. The problem is tackled using an EMAS, which has already proven as a versatile optimization technique. Results obtained using EMAS and Parallel Evolutionary Algorithm (PEA) are compared. After giving an insight to the possibilities of decision support in Sudoku solving, an exemplary strategy is defined. Then EMAS and its memetic versions are discussed, and experimental results concerning comparison of EMAS and PEA presented.
