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Title: Agent-based Optimization of Advisory Strategy Parameters, Journal of Telecommunications and Information Technology, 2013, nr 2

Creator:

Byrski, Aleksander ; Polnik, Mateusz ; Kumięga, Mateusz

Date:

2013, nr 2

Resource Type:

artykuł

Description:

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.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1594

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

global optimization memetic computing multiagent computing

Object collections:

Last modified:

Apr 14, 2014

In our library since:

Apr 14, 2014

Number of object content hits:

94

All available object's versions:

https://bc.itl.waw.pl/publication/1782

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Edition name Date
Polnik, Mateusz; Kumięga, Mateusz; Byrski, Aleksander, Agent-based Optimization of Advisory Strategy Parameters, Journal of Telecommunications and Information Technology, 2013, nr 2 Apr 14, 2014

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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