Agent-based Optimization of Advisory Strategy Parameters

Autor:	Mateusz Polnik, Mateusz Kumięga, Aleksander Byrski
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	global optimization memetic computing multiagent computing Telecommunication TK5101-6720 Information technology T58.5-58.64
Zdroj:	Journal of Telecommunications and Information Technology, Iss 2 (2013)
Druh dokumentu:	article
ISSN:	1509-4553 1899-8852
DOI:	10.26636/jtit.2013.2.1216
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a193cacd456342d9b7a835ba050294d0 Zobrazit plný text záznamu View record in DOAJ